WorldWideScience

Sample records for strong industrial base

  1. Strong industrial base vital for economic revival

    CERN Multimedia

    2001-01-01

    At the inauguration of a 2-day conference on nuclear technology in Islamabad, the chairman of PAEC said that Pakistan needs to develop a strong industrial base and capability to export equipment to improve the economic condition of the country. He descibed how Pakistan has already had a breakthrough with the export of equipment to CERN, Geneva (1 page).

  2. Pakistan strong industrial base urged for economic progress

    CERN Multimedia

    2001-01-01

    A conference organized by Pakistan Nuclear Society urged that Pakistan should develop a strong industrial base and capability to export equipment for economic progress. The chairmen of PAEC pointed out that Pakistan is already showing remarkable progress in export of science-related equipment to CERN. He also asked scientists to wage a war against Pakistans inability to acquire indigenous technology (1 page).

  3. The Danish Industrial Enzyme Industry - National based Companies with strong internationalised R&D

    DEFF Research Database (Denmark)

    Pedersen, Jørgen Lindgaard; Hansen, Anne Grethe

    and energy and many other fields. Historically the industry started up in 1874 based on empiric knowledge on use of rennet in production of cheese from Switzerland and Germany and later enriched by scientific knowledge produced in the company and institutions all over the world. Important for the company......Danish industrial enzyme industry consists of three main companies (Chr. Hansen A/S, Novozymes A/S and Danisco A/S) which in total has around 75 percent of the world market for industrial enzymes. Industrial enzymes are catalysts used in biological and chemical processes in food, detergents, paper...

  4. World energy use in 2010: over 5% growth. Energy markets have combined crisis recovery and strong industry dynamism. Enerdata analyses the trends in energy demand, based on its 2010 data for G20 countries. May 5, 2011

    International Nuclear Information System (INIS)

    2011-01-01

    Energy markets have combined crisis recovery and strong industry dynamism. Analysis of the energy consumption in 2010 of major countries by Enerdata, based on our global energy database. Energy consumption in the G20 soared by more than 5% in 2010, after the slight decrease of 2009. This strong increase is the result of two converging trends. On the one-hand, industrialized countries, which experienced sharp decreases in energy demand in 2009, recovered firmly in 2010, almost coming back to historical trends. Oil, gas, coal, and electricity markets followed the same trend. On the other hand, China and India, which showed no signs of slowing down in 2009, continued their intense demand for all forms of energy. (authors)

  5. Advantage: industry and First Nations developing strong business relationships

    International Nuclear Information System (INIS)

    O'Meara, D.

    2000-01-01

    The history of confrontations, recriminations, ultimatums, demands and endless negotiations between the oil and gas industry and First Nations communities is told. Important as the history of the conflict is, it is even more important that a mechanism has been found to resolve w these endless quarrels, giving rise to a new oil and gas economy in the 1990s and a new era of resource development in Western Canada. Land settlements, partnership and joint ventures between industry and First Nations communities, negotiating economic and social benefits into business contracts, believed to be an impossible task only a few short years ago , has gone full circle and has become a competitive edge, an admittedly costly and time consuming exercise, but absolutely necessary to be successful in First Nations relations. Conversely, one of the big problems facing First Nations Councils is educating their own members on the benefits of working with oil and gas companies. This is not an easy task since the benefits are sometimes not visible, and when deals hammered out in council with company executives are often filtered through contractors and sub-contractors and deals specifying employment do not materialize. Despite these problems, the experience of several of the companies active on First Nations lands is that it is possible to overcome a history of insensitivity and establish a business environment in which both sides have reason to consider themselves winners

  6. Strong explosions impact on buildings representative of an industrial facility

    International Nuclear Information System (INIS)

    Trelat, S.

    2006-12-01

    The goal of this study is to focus on the analysis of blast wave damage to structures when blast wave is consequence of explosive charge detonation. The objective is to propose useful tools to predict charges on structure. All experiences are realized in laboratory. The experimental investigation consists in simulating a detonation of a stoichiometric propane-oxygen mixture at ground level or at higher altitude. The study is going to give us experimental data on blast wave effects on a structure. For that, two types of structures frequently found on industrial site are going to be used: a parallelepipedal structure and a cylindrical structure, both with known dimensions. Finally, the important point of the problem is to determine an energetic equivalence between TNT and gas used in the experiments, in order to model TNT explosions at full scale by gaseous explosions at reduced scale. (author)

  7. Industry Based Survey (IBS) Cod

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The "Gulf of Maine Atlantic Cod Industry-Based Survey" was a collaboration of the Massachusetts Division of Marine Fisheries and the fishing industry, with support...

  8. Industry Based Monkfish Survey

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Monkfish industry leaders expressed concerns that the NEFSC bottom trawl surveys did not sample in all monkfish habitats; particularly the deeper water outside the...

  9. Strong Motion Seismograph Based On MEMS Accelerometer

    Science.gov (United States)

    Teng, Y.; Hu, X.

    2013-12-01

    The MEMS strong motion seismograph we developed used the modularization method to design its software and hardware.It can fit various needs in different application situation.The hardware of the instrument is composed of a MEMS accelerometer,a control processor system,a data-storage system,a wired real-time data transmission system by IP network,a wireless data transmission module by 3G broadband,a GPS calibration module and power supply system with a large-volumn lithium battery in it. Among it,the seismograph's sensor adopted a three-axis with 14-bit high resolution and digital output MEMS accelerometer.Its noise level just reach about 99μg/√Hz and ×2g to ×8g dynamically selectable full-scale.Its output data rates from 1.56Hz to 800Hz. Its maximum current consumption is merely 165μA,and the device is so small that it is available in a 3mm×3mm×1mm QFN package. Furthermore,there is access to both low pass filtered data as well as high pass filtered data,which minimizes the data analysis required for earthquake signal detection. So,the data post-processing can be simplified. Controlling process system adopts a 32-bit low power consumption embedded ARM9 processor-S3C2440 and is based on the Linux operation system.The processor's operating clock at 400MHz.The controlling system's main memory is a 64MB SDRAM with a 256MB flash-memory.Besides,an external high-capacity SD card data memory can be easily added.So the system can meet the requirements for data acquisition,data processing,data transmission,data storage,and so on. Both wired and wireless network can satisfy remote real-time monitoring, data transmission,system maintenance,status monitoring or updating software.Linux was embedded and multi-layer designed conception was used.The code, including sensor hardware driver,the data acquisition,earthquake setting out and so on,was written on medium layer.The hardware driver consist of IIC-Bus interface driver, IO driver and asynchronous notification driver. The

  10. Industry Based Survey (IBS) Yellowtail

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The "Southern New England Yellowtail Flounder Industry-Based Survey" was a collaboration between the Rhode Island Division of Fish and Wildlife and the fishing...

  11. Supply Networks and Value Creation in High Innovation and Strong Network Externalities Industry

    Directory of Open Access Journals (Sweden)

    Fernando Claro Tomaselli

    2013-12-01

    Full Text Available The rapid developing product and service markets and developments in information technologies have accelerated growth in outsourcing of peripheral activities and critical business as well, enhancing the importance of network supply chain management. This paper analyzes the dynamics of supply chain management and the creation of value in an industry with strong network effects and constantly introduction of disruptive technologies, the videogame industry. This industry evolves at a high velocity, with a lifecycle of five to six years for consoles, which features a new generation of consoles, where new companies and technologies appear and disappear at each generation.

  12. Lunar Industry & Research Base Concept

    Science.gov (United States)

    Lysenko, J.; Kaliapin, M.; Osinovyy, G.

    2017-09-01

    Currently, all main space industry players, such as Europe, USA, Russia, China, etc., are looking back again at the idea of Moon exploration building there a manned lunar base. Alongside with other world spacefaring nations, Yuzhnoye State Design Office with its long-time development experience, technological and intellectual potential, organized its own conceptual work on development of the Lunar Industry & Research Base. In the frames of conceptual project "Lunar Industrial & Research Base" were formed its appearance, preliminary configuration and infrastructure at different stages of operation, trajectory and flight scheme to the Moon, as well as terms of the project's realization, and main technical characteristics of the systems under development, such as space transportation system for crew and cargo delivery to lunar surface and return to Earth, standardized designs of lunar modules, lunar surface vehicles, etc. The "Lunar Industrial & Research Base" project's preliminary risk assessment has shown a high value of its overall risk due to the lack of reliable information about the Moon, technical risks, long-term development of its elements, very high financial costs and dependence on state support. This points to the fact that it is reasonable to create such a global project in cooperation with other countries. International cooperation will expand the capabilities of any nation, reduce risks and increase the success probability of automated or manned space missions. It is necessary to create and bring into operation practical mechanisms for long-term space exploration on a global scale. One of the ways to do this is to create a multinational agency which would include both state enterprises and private companies.

  13. [Meeting point Stewart. Buffer bases, base excess and strong ions].

    Science.gov (United States)

    Lang, W

    2007-04-01

    Development of a two-buffer model which simulates the acid-base properties of blood and allows comparison of the different acidbase concepts according to Stewart and to Siggaard-Andersen. The two-buffer model consisted of different aqueous solutions of bicarbonate/CO(2) (pCO(2), sCO(2), pK(1)), HEPES buffer (A(tot), pK(a)) and electrolytes. These were used to calculate the pH from the independent variables according to Stewart - strong ion difference (SID), pCO(2) and total concentration of the weak acids (A(tot)) - from which all other dependent variables (cHCO(3)(-), cA(-), BB, BE) were obtained and compared with the measured values. The normal pH (7.408) was calculated from the normal values for SID (48 mmol/l), pCO(2) (40 mmHg) and A(tot) (45.2 mmol/l) and agreed perfectly with the measured value (7.409+/-0.001). This was also valid for all calculated and measured pH values when the SID was varied: non-respiratory alkalosis ( upward arrow) or acidosis ( downward arrow), pCO(2):respiratory acidosis ( upward arrow) or alkalosis ( downward arrow) and A(tot):hyperproteinemic acidosis ( upward arrow) or hypoproteinemic alkalosis ( downward arrow) were varied and the sum of the buffer bases (BB) was always equal to the SID. All changes and hence BE were also equal, providing that A(tot) was normal. This was not the case, however, if A(tot) was outside the normal range, when BE was then the difference from the normal BB at the respective reference point. Whereas the deviation of the measured pCO(2) was acceptable (1.74+/-0.86 mmHg), this was not the case for the SID (-6.18+/-3.58 mmol/l) calculated from the measured ion concentrations (Na, K, Ca, Cl). Despite controversial discussions, both concepts are much closer than might be expected. Whereas in the Stewart approach the focus of analysis is on plasma, with the Siggaard-Andersen approach it is on blood. Hence, a combined analysis of the blood gases (pH, pCO(2), pO(2), sO(2), cHb, BE) and of the strong ion gap (SIG

  14. Basicities of Strong Bases in Water: A Computational Study

    OpenAIRE

    Kaupmees, Karl; Trummal, Aleksander; Leito, Ivo

    2014-01-01

    Aqueous pKa values of strong organic bases – DBU, TBD, MTBD, different phosphazene bases, etc – were computed with CPCM, SMD and COSMO-RS approaches. Explicit solvent molecules were not used. Direct computations and computations with reference pKa values were used. The latter were of two types: (1) reliable experimental aqueous pKa value of a reference base with structure similar to the investigated base or (2) reliable experimental pKa value in acetonitrile of the investigated base itself. ...

  15. Strategy-Based Segmentation of Industrial Markets

    NARCIS (Netherlands)

    Verhallen, Theo M.M.; Frambach, Ruud T.; Prabhu, Jaideep

    Segmentation of industrial markets is typically based on observable characteristics of firms such as their location and size. However, such variables have been found to be poor predictors of industrial buying behavior. To improve the effectiveness and power of existing approaches to industrial

  16. Simulation-based marginal likelihood for cluster strong lensing cosmology

    Science.gov (United States)

    Killedar, M.; Borgani, S.; Fabjan, D.; Dolag, K.; Granato, G.; Meneghetti, M.; Planelles, S.; Ragone-Figueroa, C.

    2018-01-01

    Comparisons between observed and predicted strong lensing properties of galaxy clusters have been routinely used to claim either tension or consistency with Λ cold dark matter cosmology. However, standard approaches to such cosmological tests are unable to quantify the preference for one cosmology over another. We advocate approximating the relevant Bayes factor using a marginal likelihood that is based on the following summary statistic: the posterior probability distribution function for the parameters of the scaling relation between Einstein radii and cluster mass, α and β. We demonstrate, for the first time, a method of estimating the marginal likelihood using the X-ray selected z > 0.5 Massive Cluster Survey clusters as a case in point and employing both N-body and hydrodynamic simulations of clusters. We investigate the uncertainty in this estimate and consequential ability to compare competing cosmologies, which arises from incomplete descriptions of baryonic processes, discrepancies in cluster selection criteria, redshift distribution and dynamical state. The relation between triaxial cluster masses at various overdensities provides a promising alternative to the strong lensing test.

  17. Guidelines for selecting weak-base versus strong-base anion-exchange resins for the recovery of chromate from cooling tower blowdown

    Energy Technology Data Exchange (ETDEWEB)

    Newman, J.; Reed, L.W.

    1980-01-01

    Guidelines for selecting weak-base versus strong-base anion-exchange resins for the recovery of chromate from cooling tower blowdown are given, together with actual operating data on large-scale industrial systems based on strong-base anion-exchange resins, data from a similar pilot system based on weak-base anion resin, and the chemical costs for operating both systems for a cooling tower blowdown containing 2500 ppm total dissolved solids and 20 ppm chromata.

  18. Lighter, greener and strong: developing light metals for application in the aerospace industry

    CSIR Research Space (South Africa)

    Du Preez, W

    2010-08-01

    Full Text Available per SR-71 Drivers of the South African Titanium Industry SA’s Space Programme (mid ’80s – mid ’90s): Titanium (Ti-6Al-4V) in satellites Medical applications (’90s – present): Titanium orthopaedic implants Titanium dental implants © CSIR 2010...

  19. Providing Climate Policy Makers With a Strong Scientific Base (Invited)

    Science.gov (United States)

    Struzik, E.

    2009-12-01

    Scientists can and should inform public policy decisions in the Arctic. But the pace of climate change in the polar world has been occurring far more quickly than most scientists have been able to predict. This creates problems for decision-makers who recognize that difficult management decisions have to be made in matters pertaining to wildlife management, cultural integrity and economic development. With sea ice melting, glaciers receding, permafrost thawing, forest fires intensifying, and disease and invasive species rapidly moving north, the challenge for scientists to provide climate policy makers with a strong scientific base has been daunting. Clashing as this data sometimes does with the “traditional knowledge” of indigenous peoples in the north, it can also become very political. As a result the need to effectively communicate complex data is more imperative now than ever before. Here, the author describes how the work of scientists can often be misinterpreted or exploited in ways that were not intended. Examples include the inappropriate use of scientific data in decision-making on polar bears, caribou and other wildlife populations; the use of scientific data to debunk the fact that greenhouse gases are driving climate change, and the use of scientific data to position one scientist against another when there is no inherent conflict. This work will highlight the need for climate policy makers to increase support for scientists working in the Arctic, as well as illustrate why it is important to find new and more effective ways of communicating scientific data. Strategies that might be considered by granting agencies, scientists and climate policy decision-makers will also be discussed.

  20. Knowledge bases for modelisation of industrial plants

    International Nuclear Information System (INIS)

    Lorre, J.P.; Evrard, J.M.; Dorlet, E.

    1992-01-01

    Our experience in the development of numerous knowledge based control systems for large industrial applications has led us to the expression of a generic problem and to the implementation of the tools to address it. This paper illustrates, with different practical examples that we have encountered, the principal concepts found in the modelling and management of large industrial knowledge bases. We thus arrive at the definition of the formalism to be used. The principles described are now integrated into the tool SPIRAL and are currently being employed in the development of several applications

  1. Starting Strong: Evidence-­Based Early Literacy Practices

    Science.gov (United States)

    Blamey, Katrin; Beauchat, Katherine

    2016-01-01

    Four evidence-based instructional approaches create an essential resource for any early literacy teacher or coach. Improve your teaching practices in all areas of early literacy. Use four proven instructional approaches--standards based, evidenced based, assessment based, and student based--to improve their teaching practice in all areas of early…

  2. Vital signs : spending hit new high as industry stepped on the gas to reap strong prices

    International Nuclear Information System (INIS)

    Lunan, D.

    2001-01-01

    This paper presented a review of Canadian oil industry expenditures plus oil and gas revenues for Alberta, Saskatchewan, British Columbia and Manitoba since 1991. In the year 2000, the oil and gas industry boosted expenditures by 33 per cent and drilled a record number of wells in an effort to cash in on record natural gas prices and near-record crude oil prices which were a result of soaring demand and low supply. Total expenditures by Canadian oil and gas companies reached $33.98 billion in 2000 from $25.5 billion in 1999. A total of 16,507 wells were completed. Canada-wide development drilling expenditures increased to $5.7 billion in 2000 from $4.2 billion in 1999. In addition, exploration dollars and land expenditures also rose, as did investments in production facilities and production costs. Most of the new spending was concentrated in Alberta where most of the development drilling took place. Exploration efforts were held back to boost deliverability from known reserves. As a result, exploration spending in Alberta rose only slightly to $2.6 billion from $2.3 billion in 1999. Total crude and equivalent production for the Canadian oil patch in year 2000 rose only about 5 per cent, with most of the increase being associated with higher output from offshore development. Total sales of Canadian gas rose a modest 3 per cent, but measured by financial growth, these results are very positive. Most companies are reporting record revenues, cash flow and earnings for year 2000. 2 tabs., 1 fig

  3. Strong Generative Capacity and the Empirical Base of Linguistic Theory

    Directory of Open Access Journals (Sweden)

    Dennis Ott

    2017-09-01

    Full Text Available This Perspective traces the evolution of certain central notions in the theory of Generative Grammar (GG. The founding documents of the field suggested a relation between the grammar, construed as recursively enumerating an infinite set of sentences, and the idealized native speaker that was essentially equivalent to the relation between a formal language (a set of well-formed formulas and an automaton that recognizes strings as belonging to the language or not. But this early view was later abandoned, when the focus of the field shifted to the grammar's strong generative capacity as recursive generation of hierarchically structured objects as opposed to strings. The grammar is now no longer seen as specifying a set of well-formed expressions and in fact necessarily constructs expressions of any degree of intuitive “acceptability.” The field of GG, however, has not sufficiently acknowledged the significance of this shift in perspective, as evidenced by the fact that (informal and experimentally-controlled observations about string acceptability continue to be treated as bona fide data and generalizations for the theory of GG. The focus on strong generative capacity, it is argued, requires a new discussion of what constitutes valid empirical evidence for GG beyond observations pertaining to weak generation.

  4. Synthesis of novel carbon/silica composites based strong acid ...

    Indian Academy of Sciences (India)

    hydrophobic acid-catalyzed reactions proceed in poor or with no catalytic activity (Nakajima et al 2009). The novel car- bon/silica composites based solid acid was synthesized for the purpose. However, the new method added the step of impregnating sucrose to the channels of SBA-15, which fur- ther added to the cost for ...

  5. Defense Industrial Base Capabilities Study: Protection

    Science.gov (United States)

    2004-12-01

    confirmed the soundness of this methodology and the importance of ODUSD (IP)’s role as the clearinghouse for industrial base deficiencies. ODUSD...individual from a lethal and non-lethal chemical agents entering the body through contact with skin, absorption through the skin, and entry through...1843 East Walpole, MA N/A N/A www.hollingsworth-vose.com Manufacture technical, filter, and specialty papers, nonwovens , and advanced composites

  6. Which factor dominates the industry evolution? A synergy analysis based on China's ICT industry

    OpenAIRE

    Li, Yaya; Li, Yongli; Zhao, Yulin; Wang, Fang

    2014-01-01

    Industry evolution caused by various reasons, among which technology progress driving industry development has been approved, but with the new trend of industry convergence, inter-industry convergence also plays an increasing important role. This paper plans to probe the industry synergetic evolution mechanism based on industry convergence and technology progress. Firstly, we use self-organization method and Haken Model to establish synergetic evolution equations, select technology progress a...

  7. Carbon-based strong solid acid for cornstarch hydrolysis

    Science.gov (United States)

    Nata, Iryanti Fatyasari; Irawan, Chairul; Mardina, Primata; Lee, Cheng-Kang

    2015-10-01

    Highly sulfonated carbonaceous spheres with diameter of 100-500 nm can be generated by hydrothermal carbonization of glucose in the presence of hydroxyethylsulfonic acid and acrylic acid at 180 °C for 4 h. The acidity of the prepared carbonaceous sphere C4-SO3H can reach 2.10 mmol/g. It was used as a solid acid catalyst for the hydrolysis of cornstarch. Total reducing sugar (TRS) concentration of 19.91 mg/mL could be obtained by hydrolyzing 20 mg/mL cornstarch at 150 °C for 6 h using C4-SO3H as solid acid catalyst. The solid acid catalyst demonstrated good stability that only 9% decrease in TRS concentration was observed after five repeat uses. The as-prepared carbon-based solid acid catalyst can be an environmentally benign replacement for homogeneous catalyst.

  8. Carbon-based strong solid acid for cornstarch hydrolysis

    Energy Technology Data Exchange (ETDEWEB)

    Nata, Iryanti Fatyasari, E-mail: yanti_tkunlam@yahoo.com [Chemical Engineering Study Program, Faculty of Engineering, Lambung Mangkurat University, Jl. A. Yani Km. 36 Banjarbaru, South Kalimantan 70714 (Indonesia); Irawan, Chairul; Mardina, Primata [Chemical Engineering Study Program, Faculty of Engineering, Lambung Mangkurat University, Jl. A. Yani Km. 36 Banjarbaru, South Kalimantan 70714 (Indonesia); Lee, Cheng-Kang, E-mail: cklee@mail.ntust.edu.tw [Department of Chemical Engineering, National Taiwan University of Science and Technology, 43 Keelung Rd. Sec.4, Taipei 106, Taiwan (China)

    2015-10-15

    Highly sulfonated carbonaceous spheres with diameter of 100–500 nm can be generated by hydrothermal carbonization of glucose in the presence of hydroxyethylsulfonic acid and acrylic acid at 180 °C for 4 h. The acidity of the prepared carbonaceous sphere C4-SO{sub 3}H can reach 2.10 mmol/g. It was used as a solid acid catalyst for the hydrolysis of cornstarch. Total reducing sugar (TRS) concentration of 19.91 mg/mL could be obtained by hydrolyzing 20 mg/mL cornstarch at 150 °C for 6 h using C4-SO{sub 3}H as solid acid catalyst. The solid acid catalyst demonstrated good stability that only 9% decrease in TRS concentration was observed after five repeat uses. The as-prepared carbon-based solid acid catalyst can be an environmentally benign replacement for homogeneous catalyst. - Highlights: • Carbon solid acid was successfully prepared by one-step hydrothermal carbonization. • The acrylic acid as monomer was effectively reduce the diameter size of particle. • The solid acid catalyst show good catalytic performance of starch hydrolysis. • The solid acid catalyst is not significantly deteriorated after repeated use.

  9. Carbon-based strong solid acid for cornstarch hydrolysis

    International Nuclear Information System (INIS)

    Nata, Iryanti Fatyasari; Irawan, Chairul; Mardina, Primata; Lee, Cheng-Kang

    2015-01-01

    Highly sulfonated carbonaceous spheres with diameter of 100–500 nm can be generated by hydrothermal carbonization of glucose in the presence of hydroxyethylsulfonic acid and acrylic acid at 180 °C for 4 h. The acidity of the prepared carbonaceous sphere C4-SO 3 H can reach 2.10 mmol/g. It was used as a solid acid catalyst for the hydrolysis of cornstarch. Total reducing sugar (TRS) concentration of 19.91 mg/mL could be obtained by hydrolyzing 20 mg/mL cornstarch at 150 °C for 6 h using C4-SO 3 H as solid acid catalyst. The solid acid catalyst demonstrated good stability that only 9% decrease in TRS concentration was observed after five repeat uses. The as-prepared carbon-based solid acid catalyst can be an environmentally benign replacement for homogeneous catalyst. - Highlights: • Carbon solid acid was successfully prepared by one-step hydrothermal carbonization. • The acrylic acid as monomer was effectively reduce the diameter size of particle. • The solid acid catalyst show good catalytic performance of starch hydrolysis. • The solid acid catalyst is not significantly deteriorated after repeated use

  10. Problem Based Learning - Linking Students and Industry

    DEFF Research Database (Denmark)

    Fink, Flemming K.

    2006-01-01

    WG2_G4 Problem based learning – linking students and industry: a case study from Aalborg, Denmark Flemming K. Flink ELITE Aalborg University In Aalborg University, Denmark, all study programmes are organised around inter-disciplinary project work in groups. Up to 50% of the study work is problem......-oriented project work: students work in teams to solve externally defined problem areas in co-operation with businesses, organisations and public institutions. Project Organised Problem Based Learning (POPBL) has generated a high degree of cooperation with the society and private companies. There are all the time...... 2000 to 3000 ongoing projects. With several thousand projects undertaken every year, the university is highly engaged with the surrounding society. Developed in the 1970s, the Aalborg model is based on a win-win principle: it provides students with transferable skills and authentic experience...

  11. US Rocket Propulsion Industrial Base Health Metrics

    Science.gov (United States)

    Doreswamy, Rajiv

    2013-01-01

    The number of active liquid rocket engine and solid rocket motor development programs has severely declined since the "space race" of the 1950s and 1960s center dot This downward trend has been exacerbated by the retirement of the Space Shuttle, transition from the Constellation Program to the Space launch System (SLS) and similar activity in DoD programs center dot In addition with consolidation in the industry, the rocket propulsion industrial base is under stress. To Improve the "health" of the RPIB, we need to understand - The current condition of the RPIB - How this compares to past history - The trend of RPIB health center dot This drives the need for a concise set of "metrics" - Analogous to the basic data a physician uses to determine the state of health of his patients - Easy to measure and collect - The trend is often more useful than the actual data point - Can be used to focus on problem areas and develop preventative measures The nation's capability to conceive, design, develop, manufacture, test, and support missions using liquid rocket engines and solid rocket motors that are critical to its national security, economic health and growth, and future scientific needs. center dot The RPIB encompasses US government, academic, and commercial (including industry primes and their supplier base) research, development, test, evaluation, and manufacturing capabilities and facilities. center dot The RPIB includes the skilled workforce, related intellectual property, engineering and support services, and supply chain operations and management. This definition touches the five main segments of the U.S. RPIB as categorized by the USG: defense, intelligence community, civil government, academia, and commercial sector. The nation's capability to conceive, design, develop, manufacture, test, and support missions using liquid rocket engines and solid rocket motors that are critical to its national security, economic health and growth, and future scientific needs

  12. Mobile phone based SCADA for industrial automation.

    Science.gov (United States)

    Ozdemir, Engin; Karacor, Mevlut

    2006-01-01

    SCADA is the acronym for "Supervisory Control And Data Acquisition." SCADA systems are widely used in industry for supervisory control and data acquisition of industrial processes. Conventional SCADA systems use PC, notebook, thin client, and PDA as a client. In this paper, a Java-enabled mobile phone has been used as a client in a sample SCADA application in order to display and supervise the position of a sample prototype crane. The paper presents an actual implementation of the on-line controlling of the prototype crane via mobile phone. The wireless communication between the mobile phone and the SCADA server is performed by means of a base station via general packet radio service (GPRS) and wireless application protocol (WAP). Test results have indicated that the mobile phone based SCADA integration using the GPRS or WAP transfer scheme could enhance the performance of the crane in a day without causing an increase in the response times of SCADA functions. The operator can visualize and modify the plant parameters using his mobile phone, without reaching the site. In this way maintenance costs are reduced and productivity is increased.

  13. Performance-based training: industry commitments

    International Nuclear Information System (INIS)

    Mazour, T.J.

    1986-01-01

    During the 1980s the nuclear industry has made a major commitment to performance based training, investing in excess of one thousand person-years in the process. This commitment is evidenced in a variety of initiatives including: 1) the Institute of Nuclear Power Operation's (INPO's) training accreditation program; 2) the US Nuclear Regulatory Commission's (NRC's) ''Commission Policy Statement on Training and Qualifications of Nuclear Power Plant Personnel, which,''; 3) the US Department of Energy's (DOE's) Order endorsement of ANSI/ANS 3.1 for Category A reactors and the initiation of Technical Safety Appraisals; 4) INPO's conduct of job and task analyses for nuclear power plant personnel and development of an on-line computer system to make the information available to all utilities; and 5) NRC's use of the INPO data base to develop performance-based licensing examinations for reactor operators. Each of the efforts is described briefly and some of the lessons learned through these efforts that can be applied to criticality safety training are discussed. Finally, it is shown how performance-based training is particularly related to the use of computers and simulators in training because the structured approach that is inherent in performance-based training provides the organization and sequencing of the training program and measurable standards of performance that are necessary to develop computer-based training

  14. [Development and perspective of bio-based chemical fiber industry].

    Science.gov (United States)

    Li, Zengjun

    2016-06-25

    Bio-based fiber is environment friendly, reproducible, easily biodegradable. Therefore, rapid development of bio-based fiber industry is an obvious in progress to replace petrochemical resources, develop sustainable economy, build resource saving and environment friendly society. This article describes the current development of bio-based fiber industry, analyzes existing problems, indicates the trends and objectives of bio-based fiber materials technology innovation and recommends developing bio-based fibers industry of our country.

  15. The Transatlantic Defense Industrial Base: Restructuring Scenarios and Their Implications

    National Research Council Canada - National Science Library

    Guay, Terrence R

    2005-01-01

    This monograph compares the post-Cold War restructuring of the defense industries in the United States and Europe with the aim of understanding the implications for the transatlantic industrial base...

  16. Knowledge Based Oil and Gas Industry

    Energy Technology Data Exchange (ETDEWEB)

    Sasson, Amir; Blomgren, Atle

    2011-07-01

    This study presents the Norwegian upstream oil and gas industry (defined as all oil and gas related firms located in Norway, regardless of ownership) and evaluates the industry according to the underlying dimensions of a global knowledge hub - cluster attractiveness, education attractiveness, talent attractiveness, RandD and innovation attractiveness, ownership attractiveness, environmental attractiveness and cluster dynamics.(au)

  17. Industrialization

    OpenAIRE

    Blundel, Richard

    2016-01-01

    Industrialization, the historical development that saw cheesemaking transformed from a largely craft-based or artisanal activity, often located on a dairy farm, to a production process that, for the most part, takes place in large ‘cheese factories’ or creameries [See ARTISANAL]. The principal features of modern industrialized cheesemaking, which set it apart from traditional approaches include: high production volumes; sourcing of milk from multiple dairy herds; pasteurization and re-balanci...

  18. Starting Strong: A School-Based Indicated Prevention Program during the Transition to Kindergarten

    Science.gov (United States)

    Eisenhower, Abbey; Taylor, Heather; Baker, Bruce L.

    2016-01-01

    Starting Strong in Kindergarten (Starting Strong) is a school-based indicated prevention targeting behavior problems, student-teacher relationships, and parent-school connectedness for children with or at risk for disruptive behavior problems during the transition to kindergarten. By use of a block-randomized, controlled trial to test program…

  19. Opening Up Natural Resource Based Industries for Innovation (LAC ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    Opening Up Natural Resource Based Industries for Innovation (LAC). Commodities based on natural resources account for at least half of the exports of two-thirds of the countries in Latin America and the Caribbean (LAC). There is growing concern, however, that existing natural resource-based industries are ...

  20. Cryptography, Information Operations and the Industrial Base: A Policy Dilemma

    National Research Council Canada - National Science Library

    Horner, Stephen

    1997-01-01

    .... The explosive force of information technology places the Global Information Infrastructure, the worldwide industrial base and the various world governments in both mutually supporting and somewhat adversarial positions...

  1. Competition: A Means to Transform the Defense Industrial Base

    National Research Council Canada - National Science Library

    Hansen, Richard

    2003-01-01

    .... The defense acquisition process and its industrial base comprise a significant economic institution in need of transformation to ensure that research, development, and acquisition efforts remain...

  2. <strong>A Language-Based Approach for Improving the Robustness of Network Application Protocol Implementationsstrong>

    DEFF Research Database (Denmark)

    Burgy, Laurent; Reveillere, Laurent; Lawall, Julia Laetitia

    2007-01-01

    -specific language, Zebu, for generating robust and efficient message processing layers. A Zebu specification, based on the notation used in RFCs, describes protocol message formats and related processing constraints. Zebu-based applications are efficient, since message fragments can be specified to be processed...

  3. Ion exchange behaviour of citrate and EDTA anions on strong and weak base organic ion exchangers

    International Nuclear Information System (INIS)

    Askarieh, M.M.; White, D.A.

    1988-01-01

    The exchange of citrate and EDTA ions with two strong base and two weak base exchangers is considered. Citrate and EDTA analysis for this work was performed using a colorimetric method developed here. The ions most selectively exchanged on the resins are H 2 cit - and H 2 EDTA 2- , though EDTA is generally less strongly sorbed on strong base resins. In contact with weak base resins, deprotonation of the resin occurs during ion exchange with a noticeable drop in solution pH. Although EDTA sorption can be reversed by nitric acid, citrate ions are significantly held on the resin at low pH. The exchange of citrate can be made reversible if bicarbonate is added to the initial solutions. Alkaline regeneration of exchangers loaded with EDTA proved to be very effective. (author)

  4. Research on Computer-based Creative Industries Development

    Science.gov (United States)

    Shuqin, Sun

    In recent years, creative industries based on the computer technology is booming and leads a new trend in this field. This creative industries considers innovation as a driving force. It combines the various cultural art resources with the latest computer technology, estabilshes new production and consumption patterns, promotes new industrial clusters, cultivates new consumer groups and generates enormous economic and social value. Therefore, computer-based creative industries is not only a cultural or educational philosophy, but also a development strategy with practical and sustainable features.

  5. Regional Innovation and the Geography of Research Collaboration in Science-based Industries

    NARCIS (Netherlands)

    Ponds, R.H.F.

    2008-01-01

    The presence of knowledge spillovers is generally considered to be a strong force behind the spatial agglomeration of knowledge intensive, science-based industries. However, the understanding of the geographical scale and scope of knowledge spillovers is limited. This study provides insights in the

  6. Biometrics and smart card based applications for nuclear industry

    International Nuclear Information System (INIS)

    Nishanth Reddy, J.; Dheeraj Reddy, J.; Narender Reddy, J.

    2004-01-01

    Biometrics has emerged as a convenient, foolproof and well-accepted technology for identification around the globe. Nucleonix has developed innovative solutions based on finger scan biometrics for various industries. This paper closely looks into the application areas for the nuclear industry and how it will benefit this industry, in terms of identification, access control, security of PCs and applications, attendance, machinery usage control and other custom applications. (author)

  7. Vortex trapping in Pb-alloy Josephson junctions induced by strong sputtering of the base electrode

    International Nuclear Information System (INIS)

    Wada, M.; Nakano, J.; Yanagawa, F.

    1985-01-01

    It is observed that strong rf sputtering of the Pb-alloy base electrodes causes the junctions to trap magnetic vortices and thus induces Josephson current (I/sub J/) suppression. Trapping begins to occur when the rf sputtering that removes the native thermal oxide on the base electrode is carried out prior to rf plasma oxidation. Observed large I/sub J/ suppression is presumably induced by the concentration of vortices into the sputtered area upon cooling the sample below the transition temperature. This suggests a new method of the circumvention of the vortex trapping by strongly rf sputtering the areas of the electrode other than the junction areas

  8. PEM-based polarimeters for industrial applications

    Science.gov (United States)

    Wang, Baoliang

    2010-11-01

    A polarimeter is an optical instrument used in the transmissive mode for determining the polarization state of a light beam, or the polarization-altering properties of a sample, such as diattenuation, retardation and depolarizion.1 (Reflective "polarimeters" are typically called ellipsometers.) Polarimeters can, thus, be broadly categorized as either light-measuring polarimeters or sample-measuring polarimeters. A light-measuring polarimeter is also known as a Stokes polarimeter, which measures the polarization state of a light beam as described by the Stokes parameters. A sample-measuring polarimeter is also known as a Mueller polarimeter, which measures the complete set or a subset of polarization-altering properties of a sample. Polarimeters can also be categorized by whether they measure the complete set of polarization properties. If a Stokes polarimeter measures all four Stokes parameters, it is called a complete Stokes polarimeter; otherwise, an incomplete or a special Stokes polarimeter. Similarly, there are complete and incomplete Mueller polarimeters. Nearly all samplemeasuring polarimeters are incomplete or special polarimeters, particularly for industrial applications. These special polarimeters bear different names. For example, a circular dichroism spectrometer, which measures the differential absorption between left and right circularly polarized light (▵A= AL - AR), is a special polarimeter for measuring the circular diattenuation of a sample; a linear birefringence measurement system is a special polarimeter for measuring the linear retardation of a sample. Polarimeters have a broad range of applications in both academic research and industrial metrology. Polarimeters are applied to chemistry, biology, physics, astronomy, material science and many other scientific areas. Polarimeters are used as metrology tools in the semiconductor, fiber telecommunication, flat panel display, pharmaceutical and many other industries. Different branches of

  9. Topographic gradient based site characterization in India complemented by strong ground-motion spectral attributes

    KAUST Repository

    Nath, Sankar Kumar

    2013-12-01

    We appraise topographic-gradient approach for site classification that employs correlations between 30. m column averaged shear-wave velocity and topographic gradients. Assessments based on site classifications reported from cities across India indicate that the approach is reasonably viable at regional level. Additionally, we experiment three techniques for site classification based on strong ground-motion recordings, namely Horizontal-to-Vertical Spectral Ratio (HVSR), Response Spectra Shape (RSS), and Horizontal-to-Vertical Response Spectral Ratio (HVRSR) at the strong motion stations located across the Himalayas and northeast India. Statistical tests on the results indicate that these three techniques broadly differentiate soil and rock sites while RSS and HVRSR yield better signatures. The results also support the implemented site classification in the light of strong ground-motion spectral attributes observed in different parts of the globe. © 2013 Elsevier Ltd.

  10. Oxygen reduction electrocatalyst based on strongly coupled cobalt oxide nanocrystals and carbon nanotubes.

    Science.gov (United States)

    Liang, Yongye; Wang, Hailiang; Diao, Peng; Chang, Wesley; Hong, Guosong; Li, Yanguang; Gong, Ming; Xie, Liming; Zhou, Jigang; Wang, Jian; Regier, Tom Z; Wei, Fei; Dai, Hongjie

    2012-09-26

    Electrocatalyst for oxygen reduction reaction (ORR) is crucial for a variety of renewable energy applications and energy-intensive industries. The design and synthesis of highly active ORR catalysts with strong durability at low cost is extremely desirable but remains challenging. Here, we used a simple two-step method to synthesize cobalt oxide/carbon nanotube (CNT) strongly coupled hybrid as efficient ORR catalyst by directly growing nanocrystals on oxidized multiwalled CNTs. The mildly oxidized CNTs provided functional groups on the outer walls to nucleate and anchor nanocrystals, while retaining intact inner walls for highly conducting network. Cobalt oxide was in the form of CoO due to a gas-phase annealing step in NH(3). The resulting CoO/nitrogen-doped CNT (NCNT) hybrid showed high ORR current density that outperformed Co(3)O(4)/graphene hybrid and commercial Pt/C catalyst at medium overpotential, mainly through a 4e reduction pathway. The metal oxide/carbon nanotube hybrid was found to be advantageous over the graphene counterpart in terms of active sites and charge transport. Last, the CoO/NCNT hybrid showed high ORR activity and stability under a highly corrosive condition of 10 M NaOH at 80 °C, demonstrating the potential of strongly coupled inorganic/nanocarbon hybrid as a novel catalyst system in oxygen depolarized cathode for chlor-alkali electrolysis.

  11. Identity Based Strong Designated Verifier Parallel Multi-Proxy Signature Scheme

    OpenAIRE

    Lal, Sunder; Verma, Vandani

    2009-01-01

    This paper presents a new identity based strong designated verifier parallel multi-proxy signature scheme. Multi-Proxy signatures allow the original signer to delegate his signing power to a group of proxy signers. In our scheme, the designated verifier can only validate proxy signatures created by a group of proxy signer.

  12. Strong Teens: A School-Based Small Group Experience for African American Males

    Science.gov (United States)

    White, Nathan J.; Rayle, Andrea Dixon

    2007-01-01

    This article describes the school-based, small group adaptation of the existing Strong Teens Curriculum (STC) for African American male adolescents in high schools. The STC was created to equip adolescents with skills that promote more effective social interaction and enhance personal emotional and psychological wellness. The authors present a…

  13. Strong coupling and polariton lasing in Te based microcavities embedding (Cd,Zn)Te quantum wells

    Energy Technology Data Exchange (ETDEWEB)

    Rousset, J.-G., E-mail: j-g.rousset@fuw.edu.pl; Piętka, B.; Król, M.; Mirek, R.; Lekenta, K.; Szczytko, J.; Borysiuk, J.; Suffczyński, J.; Kazimierczuk, T.; Goryca, M.; Smoleński, T.; Kossacki, P.; Nawrocki, M.; Pacuski, W. [Institute of Experimental Physics, Faculty of Physics, University of Warsaw, ul. Pasteura 5, PL-02-093 Warszawa (Poland)

    2015-11-16

    We report on properties of an optical microcavity based on (Cd,Zn,Mg)Te layers and embedding (Cd,Zn)Te quantum wells. The key point of the structure design is the lattice matching of the whole structure to MgTe, which eliminates the internal strain and allows one to embed an arbitrary number of unstrained quantum wells in the microcavity. We evidence the strong light-matter coupling regime already for the structure containing a single quantum well. Embedding four unstrained quantum wells results in further enhancement of the exciton-photon coupling and the polariton lasing in the strong coupling regime.

  14. Strong ion difference in urine: new perspectives in acid-base assessment.

    OpenAIRE

    Gattinoni, L.; Carlesso, E.; Cadringher, P.; Caironi, P.

    2006-01-01

    The plasmatic strong ion difference (SID) is the difference between positively and negatively charged strong ions. At pH 7.4, temperature 37°C and partial carbon dioxide tension 40 mmHg, the ideal value of SID is 42 mEq/l. The buffer base is the sum of negatively charged weak acids ([HCO3 -], [A-], [H2PO4 -]) and its normal value is 42 mEq/l. According to the law of electroneutrality, the amount of positive and negative charges must be equal, and therefore the SID value is equal to the buffer...

  15. A method for designing strong S-Boxes based on chaotic Lorenz system

    Energy Technology Data Exchange (ETDEWEB)

    Ozkaynak, Fatih, E-mail: ozkaynak_fatih@hotmail.co [Tunceli University, Department of Computer Engineering, Tunceli (Turkey); Ozer, Ahmet Bedri, E-mail: bedriozer@firat.edu.t [Firat University, Department of Computer Engineering, 23119 Elazig (Turkey)

    2010-08-09

    It is important to design cryptographically strong S-Boxes in order to design secure systems. In this study, a strong, chaos-based S-Box design is proposed. Continuous-time Lorenz system is chosen as the chaotic system. Proposed methodology is analyzed and tested for the following criteria: Bijective property, nonlinearity, strict avalanche criterion, output bits independence criterion and equiprobable input/output XOR distribution. The results of the analysis show that the proposed cryptosystem is a highly reliable system suitable for secure communication.

  16. Low-temperature fabrication of mesoporous solid strong bases by using multifunction of a carbon interlayer.

    Science.gov (United States)

    Liu, Xiao-Yan; Sun, Lin-Bing; Liu, Xiao-Dan; Li, Ai-Guo; Lu, Feng; Liu, Xiao-Qin

    2013-10-09

    Mesoporous solid strong bases are highly promising for applications as environmentally benign catalysts in various reactions. Their preparation attracts increasing attention for the demand of sustainable chemistry. In the present study, a new strategy was designed to fabricate strong basicity on mesoporous silica by using multifunction of a carbon interlayer. A typical mesoporous silica, SBA-15, was precoated with a layer of carbon prior to the introduction of base precursor LiNO3. The carbon interlayer performs two functions by promoting the conversion of LiNO3 at low temperatures and by improving the alkali-resistant ability of siliceous host. Only a tiny amount of LiNO3 was decomposed on pristine SBA-15 at 400 °C; for the samples containing >8 wt % of carbon, however, LiNO3 can be entirely converted to strongly basic sites Li2O under the same conditions. The guest-host redox reaction was proven to be the answer for the conversion of LiNO3, which breaks the tradition of thermally induced decomposition. More importantly, the residual carbon layer can prevent the siliceous frameworks from corroding by the newly formed strongly basic species, which is different from the complete destruction of mesostructure in the absence of carbon. Therefore, materials possessing both ordered mesostructure and strong basicity were successfully fabricated, which is extremely desirable for catalysis and impossible to realize by conventional methods. We also demonstrated that the resultant mesoporous basic materials are active in heterogeneous synthesis of dimethyl carbonate (DMC) and the yield of DMC can reach 32.4%, which is apparently higher than that over the catalysts without a carbon interlayer (<12.9%) despite the same lithium content. The strong basicity, in combination with the uniform mesopores, is believed to be responsible for such a high activity.

  17. Particle-Hole Transformation in Strongly-Doped Iron-Based Superconductors

    OpenAIRE

    Rodriguez, J. P.

    2016-01-01

    An exact particle-hole transformation is discovered in a local-moment description of a single layer in an iron-based superconductor. Application of the transformation to a surface layer of heavily electron-doped FeSe predicts a surface-layer high-temperature superconductor at strong hole doping. Comparison with existing low-T_c iron superconductors suggests that the critical temperature at heavy hole doping can be increased by increasing direct ferromagnetic exchange in between nearest neighb...

  18. A provably secure identity-based strong designated verifier proxy signature scheme from bilinear pairings

    Directory of Open Access Journals (Sweden)

    SK Hafizul Islam

    2014-01-01

    Full Text Available The proxy signature, a variant of the ordinary digital signature, has been an active research topic in recent years; it has many useful applications, including distributed systems and grid computing. Although many identity-based proxy signature schemes have been proposed in the literature, only a few proposals for identity-based strong designated verifier proxy signature (ID-SDVPS schemes are available. However, it has been found that most of the ID-SDVPS schemes that have been proposed to date are not efficient in terms of computation and security, and a computationally efficient and secured ID-SDVPS scheme using elliptic curve bilinear pairing has been proposed in this paper. The security of the scheme is mainly based on the hardness assumption of CDH and GBDH problems in the random oracle model, which is existentially unforgeable against different types of adversaries. Furthermore, the security of our scheme is simulated in the AVISPA (Automated Validation of Internet Security Protocols and Applications software, a widely used automated internet protocol validation tool, and the simulation results confirm strong security against both active and passive attacks. In addition, because of a high processing capability and supporting additional security features, the scheme is suitable for the environments in which less computational cost with strong security is required.

  19. Application of knowledge based software to industrial automation in Japan

    International Nuclear Information System (INIS)

    Matsumoto, Yoshihiro

    1985-01-01

    In Japan, large industrial undertakings such as electric utilities or steel works are making first steps towards knowledge engineering, testing the applicability of knowledge based software to industrial automation. The goal is to achieve more intelligent, computer-aided assistance for the personnel and thus to enhance safety, reliability, and maintenance efficiency in large industrial plants. The article presents various examples showing advantages and draw-backs of such systems, and potential applications among others in nuclear or fossil fueled power plants or in electricity supply control systems. (orig./HP) [de

  20. A Simulation-Based LED Design Project in Photonics Instruction Based on Industry-University Collaboration

    Science.gov (United States)

    Chang, S. -H.; Chen, M. -L.; Kuo, Y. -K.; Shen, Y. -C.

    2011-01-01

    In response to the growing industrial demand for light-emitting diode (LED) design professionals, based on industry-university collaboration in Taiwan, this paper develops a novel instructional approach: a simulation-based learning course with peer assessment to develop students' professional skills in LED design as required by industry as well as…

  1. Identification of strong promoters based on the transcriptome of Bacillus licheniformis.

    Science.gov (United States)

    Liu, Xin; Yang, Haiyan; Zheng, Junwei; Ye, Yanrui; Pan, Li

    2017-06-01

    To expand the repertoire of strong promoters for high level expression of proteins based on the transcriptome of Bacillus licheniformis. The transcriptome of B. licheniformis ATCC14580 grown to the early stationary phase was analyzed and the top 10 highly expressed genes/operons out of the 3959 genes and 1249 operons identified were chosen for study promoter activity. Using beta-galactosidase gene as a reporter, the candidate promoter pBL9 exhibited the strongest activity which was comparable to that of the widely used strong promoter p43. Furthermore, the pro-transglutaminase from Streptomyces mobaraensis (pro-MTG) was expressed under the control of promoter pBL9 and the activity of pro-MTG reached 82 U/ml after 36 h, which is 23% higher than that of promoter p43 (66.8 U/ml). In our analyses of the transcriptome of B. licheniformis, we have identified a strong promoter pBL9, which could be adapted for high level expression of proteins in the host Bacillus subtilis.

  2. Strongly Iridescent Hybrid Photonic Sensors Based on Self-Assembled Nanoparticles for Hazardous Solvent Detection

    Directory of Open Access Journals (Sweden)

    Ayaka Sato

    2018-03-01

    Full Text Available Facile detection and the identification of hazardous organic solvents are essential for ensuring global safety and avoiding harm to the environment caused by industrial wastes. Here, we present a simple method for the fabrication of silver-coated monodisperse polystyrene nanoparticle photonic structures that are embedded into a polydimethylsiloxane (PDMS matrix. These hybrid materials exhibit a strong green iridescence with a reflectance peak at 550 nm that originates from the close-packed arrangement of the nanoparticles. This reflectance peak measured under Wulff-Bragg conditions displays a 20 to 50 nm red shift when the photonic sensors are exposed to five commonly employed and highly hazardous organic solvents. These red-shifts correlate well with PDMS swelling ratios using the various solvents, which suggests that the observable color variations result from an increase in the photonic crystal lattice parameter with a similar mechanism to the color modulation of the chameleon skin. Dynamic reflectance measurements enable the possibility of clearly identifying each of the tested solvents. Furthermore, as small amounts of hazardous solvents such as tetrahydrofuran can be detected even when mixed with water, the nanostructured solvent sensors we introduce here could have a major impact on global safety measures as innovative photonic technology for easily visualizing and identifying the presence of contaminants in water.

  3. Designed microtremor array based actual measurement and analysis of strong ground motion at Palu city, Indonesia

    Energy Technology Data Exchange (ETDEWEB)

    Thein, Pyi Soe, E-mail: pyisoethein@yahoo.com [Geology Department, Yangon University (Myanmar); Pramumijoyo, Subagyo; Wilopo, Wahyu; Setianto, Agung [Geological Engineering Department, Gadjah Mada University (Indonesia); Brotopuspito, Kirbani Sri [Physics Department, Gadjah Mada University (Indonesia); Kiyono, Junji; Putra, Rusnardi Rahmat [Graduate School of Global Environmental Studies, Kyoto University (Japan)

    2015-04-24

    In this study, we investigated the strong ground motion characteristics under Palu City, Indonesia. The shear wave velocity structures evaluated by eight microtremors measurement are the most applicable to determine the thickness of sediments and average shear wave velocity with Vs ≤ 300 m/s. Based on subsurface underground structure models identified, earthquake ground motion was estimated in the future Palu-Koro earthquake by using statistical green’s function method. The seismic microzonation parameters were carried out by considering several significant controlling factors on ground response at January 23, 2005 earthquake.

  4. Synergistic desorption of molybdenum from the strong base anion exchange resin by molybdnum fouling

    International Nuclear Information System (INIS)

    Zhang Guowei; Zhao Guirong

    1988-01-01

    In this paper the synerglstic desorption of molybdenum from the strong base anion exchange resin is studied using ammonium hydroxide and ammonium sulfate, sodium hydroxide and sodium sulfate or sodium hydroxide and sodium chloride mixed chloride mixed desorbents. The coefficients of synergistlc desorption for various mixed desorbents are obtained. The experimental results show that the desorption efficiency of the mixed desorbent containing ammonium hydroxide and ammonium sulfate is so high that it can substitute for the mixed desorbent used in the plant. The harmful affect of the chloride ion on production can be eliminated if this mixed desorbent is used for the plant

  5. Customer based brand equity: evidence from the hotel industry

    OpenAIRE

    Kayaman, Rüçhan; Araslı, Hüseyin

    2007-01-01

    The paper aims to explore interrelations of the four brand equity components; brand awareness, brand loyalty, perceived quality and brand image in hotel industry and improve the conceptualization of customer-based hotel brand equity. The paper is based on the recommendations of previous studies, the scale constructed to measure consumer-based brand equity included brand awareness, brand loyalty, perceived quality and brand image. The present study used a sample of 345 actual customers from 11...

  6. CREATIV: Research-based innovation for industry energy efficiency

    International Nuclear Information System (INIS)

    Tangen, Grethe; Hemmingsen, Anne Karin T.; Neksa, Petter

    2011-01-01

    Improved energy efficiency is imperative to minimise the greenhouse gas emissions and to ensure future energy security. It is also a key to continued profitability in energy consuming industry. The project CREATIV is a research initiative for industry energy efficiency focusing on utilisation of surplus heat and efficient heating and cooling. In CREATIV, international research groups work together with key vendors of energy efficiency equipment and an industry consortium including the areas metallurgy, pulp and paper, food and fishery, and commercial refrigeration supermarkets. The ambition of CREATIV is to bring forward technology and solutions enabling Norway to reduce both energy consumption and greenhouse gas emissions by 25% within 2020. The main research topics are electricity production from low temperature heat sources in supercritical CO 2 cycles, energy efficient end-user technology for heating and cooling based on natural working fluids and system optimisation, and efficient utilisation of low temperature heat by developing new sorption systems and compact compressor-expander units. A defined innovation strategy in the project will ensure exploitation of research results and promote implementation in industry processes. CREATIV will contribute to the recruitment of competent personnel to industry and academia by educating PhD and post doc candidates and several MSc students. The paper presents the CREATIV project, discusses its scientific achievements so far, and outlines how the project results can contribute to reducing industry energy consumption. - Highlights: → New technology for improved energy efficiency relevant across several industries. → Surplus heat exploitation and efficient heating and cooling are important means. → Focus on power production from low temperature heat and heat pumping technologies. → Education and competence building are given priority. → The project consortium includes 20 international industry companies and

  7. The Geographic Distribution of Saccharomyces cerevisiae Isolates within three Italian Neighboring Winemaking Regions Reveals Strong Differences in Yeast Abundance, Genetic Diversity and Industrial Strain Dissemination

    Directory of Open Access Journals (Sweden)

    Alessia Viel

    2017-08-01

    Full Text Available In recent years the interest for natural fermentations has been re-evaluated in terms of increasing the wine terroir and managing more sustainable winemaking practices. Therefore, the level of yeast genetic variability and the abundance of Saccharomyces cerevisiae native populations in vineyard are becoming more and more crucial at both ecological and technological level. Among the factors that can influence the strain diversity, the commercial starter release that accidentally occur in the environment around the winery, has to be considered. In this study we led a wide scale investigation of S. cerevisiae genetic diversity and population structure in the vineyards of three neighboring winemaking regions of Protected Appellation of Origin, in North-East of Italy. Combining mtDNA RFLP and microsatellite markers analyses we evaluated 634 grape samples collected over 3 years. We could detect major differences in the presence of S. cerevisiae yeasts, according to the winemaking region. The population structures revealed specificities of yeast microbiota at vineyard scale, with a relative Appellation of Origin area homogeneity, and transition zones suggesting a geographic differentiation. Surprisingly, we found a widespread industrial yeast dissemination that was very high in the areas where the native yeast abundance was low. Although geographical distance is a key element involved in strain distribution, the high presence of industrial strains in vineyard reduced the differences between populations. This finding indicates that industrial yeast diffusion it is a real emergency and their presence strongly interferes with the natural yeast microbiota.

  8. Breaking boundaries: optimizing reconsolidation-based interventions for strong and old memories.

    Science.gov (United States)

    Elsey, James W B; Kindt, Merel

    2017-09-01

    Recent research has demonstrated that consolidated memories can enter a temporary labile state after reactivation, requiring restabilization in order to persist. This process, known as reconsolidation, potentially allows for the modification and disruption of memory. Much interest in reconsolidation stems from the possibility that maladaptive memory traces-a core feature of several psychiatric conditions-could be tackled by disrupting their reconsolidation. However, research has indicated a range of supposed boundary conditions on the induction of reconsolidation. Stronger memories, often resulting from exposure to stressful conditions, or older memories, appear to be relatively resistant to undergoing reconsolidation. This may be taken as a potential stumbling block for reconsolidation-based interventions: in clinical practice, old and strong maladaptive memories are the norm rather than the exception. Yet, boundary conditions have been derived from limited experimental evidence, are not unique to reconsolidation-based interventions, and do not seem to be absolute. In this paper, we review a range of experimental studies that have aimed to disrupt old memories, or memories that were strengthened by stress manipulations, through reconsolidation. Such research highlights several techniques that could be used to optimize reconsolidation-based approaches and overcome putative boundary conditions. We supplement this review of experimental literature with a case study of a reconsolidation-based treatment of a strong and decades-old phobia for mice, further suggesting that age and strength of memory may not be insurmountable barriers. Translating findings from basic science, to human experiments, to clinical applications and back again, can potentially unlock powerful new treatments for the many people who suffer daily from anxiety disorders. © 2017 Elsey and Kindt; Published by Cold Spring Harbor Laboratory Press.

  9. The Namibian fishing industry is based on the Benguela Current ...

    African Journals Online (AJOL)

    denise

    The Namibian fishing industry is based on the Benguela. Current, one of four highly productive eastern boundary upwelling systems of the world. What these systems lack in species diversity is compensated for in abun- dance. Consequently, for shore-angling enthusiasts, the Namibian coast has for decades been ...

  10. Design of sustainable industrial scale biocatalysis based flax retting process

    NARCIS (Netherlands)

    Agrawal, P. (Pramod); Gooijer, H. (Henk); Naik, N. (Nirali)

    2014-01-01

    The aim of this applied research is to design a sustainable industrial scale enzyme based flax retting process. A systematic approach has been adopted. The screening and selection of enzymes for flax retting has been carried out. Alkaline pectinase has been identified as the most appropriate enzyme

  11. An Industrial Model Based Disturbance Feedback Control Scheme

    DEFF Research Database (Denmark)

    Kawai, Fukiko; Nakazawa, Chikashi; Vinther, Kasper

    2014-01-01

    This paper presents a model based disturbance feedback control scheme. Industrial process systems have been traditionally controlled by using relay and PID controller. However these controllers are affected by disturbances and model errors and these effects degrade control performance. The authors...... propose a new control method that can decrease the negative impact of disturbance and model errors. The control method is motivated by industrial practice by Fuji Electric. Simulation tests are examined with a conventional PID controller and the disturbance feedback control. The simulation results...... demonstrate the effectiveness of the proposed method comparing with the conventional PID controller...

  12. Finite Elements Based on Strong and Weak Formulations for Structural Mechanics: Stability, Accuracy and Reliability

    Directory of Open Access Journals (Sweden)

    Francesco Tornabene

    2017-07-01

    Full Text Available The authors are presenting a novel formulation based on the Differential Quadrature (DQ method which is used to approximate derivatives and integrals. The resulting scheme has been termed strong and weak form finite elements (SFEM or WFEM, according to the numerical scheme employed in the computation. Such numerical methods are applied to solve some structural problems related to the mechanical behavior of plates and shells, made of isotropic or composite materials. The main differences between these two approaches rely on the initial formulation – which is strong or weak (variational – and the implementation of the boundary conditions, that for the former include the continuity of stresses and displacements, whereas in the latter can consider the continuity of the displacements or both. The two methodologies consider also a mapping technique to transform an element of general shape described in Cartesian coordinates into the same element in the computational space. Such technique can be implemented by employing the classic Lagrangian-shaped elements with a fixed number of nodes along the element edges or blending functions which allow an “exact mapping” of the element. In particular, the authors are employing NURBS (Not-Uniform Rational B-Splines for such nonlinear mapping in order to use the “exact” shape of CAD designs.

  13. Aerogel-Based Insulation for Industrial Steam Distribution Systems

    Energy Technology Data Exchange (ETDEWEB)

    John Williams

    2011-03-30

    Thermal losses in industrial steam distribution systems account for 977 trillion Btu/year in the US, more than 1% of total domestic energy consumption. Aspen Aerogels worked with Department of Energy’s Industrial Technologies Program to specify, develop, scale-up, demonstrate, and deliver Pyrogel XT®, an aerogel-based pipe insulation, to market to reduce energy losses in industrial steam systems. The product developed has become Aspen’s best selling flexible aerogel blanket insulation and has led to over 60 new jobs. Additionally, this product has delivered more than ~0.7 TBTU of domestic energy savings to date, and could produce annual energy savings of 149 TBTU by 2030. Pyrogel XT’s commercial success has been driven by it’s 2-4X better thermal performance, improved durability, greater resistance to corrosion under insulation (CUI), and faster installation times than incumbent insulation materials.

  14. Industrialization

    African Journals Online (AJOL)

    Lucy

    importantly exploiting cheap labour for industrial purposes from the native population. 13 . During the colonial era manufacturing in the continent was generally at the handicraft and small scale levels. In some colonies this was supplemented by some relatively complex industries producing mainly for export, but also ...

  15. Research on technology environment improvement of related industries based on internet governance

    Science.gov (United States)

    Zhang, Jing; Guan, Zhongliang

    2017-08-01

    The technology of Internet is an important factor of industry’s development. Constructing a good technical environment is the foundation of the Internet and related industries’ development. This paper demonstrates the necessity of the construction and improvement of the Internet and the related industries technology environment through comparing the current situation of the related industries. It also points out that China needs to improve the environment of the Internet technology urgently. The paper establishes the technology demand pattern of different related industries, and explores strategies of the different Internet technology environment’s construction and perfection according to the different demand of the strong related Internet and the weak related Internet to the industries environment. This paper analyzes the factors that threaten the security of the Internet, and fully demonstrates the methods and tactics of establishing and improving the technology environment Internet hardware, the Internet and related industries in China under the basis of the framework of comprehensive management of Internet. This paper also studies the construction and improvement of the comprehensive management technology environment based on the Internet industry in China.

  16. Strong crustal seismic anisotropy in the Kalahari Craton based on Receiver Functions

    DEFF Research Database (Denmark)

    Thybo, Hans; Soliman, Mohammad Youssof Ahmad; Artemieva, Irina

    2015-01-01

    anisotropy in the crust of the Kalahari craton, which is 30-40% of the total anisotropy as measured by SKS splitting. Our analysis is based on calculation of receiver functions for the data from the SASE experiment which shows strong splitting between the SV and SH components. The direction of the fast axes...... is uniform within tectonic units and parallel to orogenic strike in the Limpopo and Cape fold belts. It is further parallel to the strike of major dyke swarms which indicates that a large part of the observed anisotropy is controlled by lithosphere fabrics and macroscopic effects. The directions of the fast...... axes for the crustal anisotropy are parallel to the general directions determined from SKS splitting, although the directions from our analysis of receiver functions is more homogeneous than for SKS splitting. This analysis indicates parallel fast axes in the crust and in the mantle, which suggests...

  17. Laser based imaging of time depending microscopic scenes with strong light emission

    Science.gov (United States)

    Hahlweg, Cornelius; Wilhelm, Eugen; Rothe, Hendrik

    2011-10-01

    Investigating volume scatterometry methods based on short range LIDAR devices for non-static objects we achieved interesting results aside the intended micro-LIDAR: the high speed camera recording of the illuminated scene of an exploding wire -intended for Doppler LIDAR tests - delivered a very effective method of observing details of objects with extremely strong light emission. As a side effect a schlieren movie is gathered without any special effort. The fact that microscopic features of short time processes with high emission and material flow might be imaged without endangering valuable equipment makes this technique at least as interesting as the intended one. So we decided to present our results - including latest video and photo material - instead of a more theoretical paper on our progress concerning the primary goal.

  18. Effects of weak and strong localization in tunnel characteristics of contacts on HTSC base

    International Nuclear Information System (INIS)

    Revenko, Yu.V.; Svistunov, V.M.; Grigut', O.V.; Belogolovskij, M.A.; Khachaturov, A.I.

    1992-01-01

    It is found that a phenomena governed by the electronic processes in the disordered surface normal layer of material are observed in the tunnel contatcs bases on metal oxide superconductors of 1-2-3 group. Measured characteristics σ(U)=dI/dU ore determined both by contact's barrier properties and conductivity in the disordered region of metal oxides in the vicinity of a barrier. As regards high-temperature contacts σ(U) value at high temperatures us determined by the Schottky barrier and at low temperatures - by activation processes of charge transfer over strongly localized states in near-the-barrier region of the contact. Crossing over towards logarithmic dependence in the tunnel conductuvity σ(U) of low-Ohmic transitions are attributed to the occurrence of 2D state density conditions in the tunnel surface layers of metal oxides

  19. Application of game theory in decision making strategy: Does gas fuel industry need to kill oil based fuel industry?

    Science.gov (United States)

    Azmi, Abdul Luky Shofi'ul; Prabandari, Dyah Lusiana; Hakim, Muhammad Lintang Islami

    2017-03-01

    Even though conversion of oil based fuel (Bahan Bakar Minyak) into gas fuel (Bahan Bakar Gas) for transportation (both land and sea) is one of the priority programs of the government of Indonesia, rules that have been established merely basic rules of gas fuel usage license for transportation, without discussing position of gas fuel related to oil based fuel in detail. This paper focus on possible strategic behavior of the key players in the oil-gas fuel conversion game, who will be impacted by the position of gas fuel as complement or substitution of oil based fuel. These players include industry of oil based fuel, industry of gas fuel, and the government. Modeling is made based on two different conditions: government plays a passive role and government plays an active role in legislating additional rules that may benefit industry of gas fuel. Results obtained under a passive government is that industry of oil based fuel need to accommodate the presence of industry of gas fuel, and industry of gas fuel does not kill/ eliminate the oil based fuel, or gas fuel serves as a complement. While in an active government, the industry of oil based fuel need to increase its negotiation spending in the first phase so that the additional rule that benefitting industry of gas fuel would not be legislated, while industry of gas fuel chooses to indifferent; however, in the last stage, gas fuel turned to be competitive or choose its role to be substitution.

  20. Industrialization

    African Journals Online (AJOL)

    Lucy

    . African states as ... regarded as the most important ingredients that went to add value to land and labour in order for countries ... B. Sutcliffe Industry and Underdevelopment (Massachusetts Addison – Wesley Publishing Company. 1971), pp.

  1. Design of sustainable industrial scale biocatalysis based flax retting process

    OpenAIRE

    Agrawal, P. (Pramod); Gooijer, H. (Henk); Naik, N. (Nirali)

    2014-01-01

    The aim of this applied research is to design a sustainable industrial scale enzyme based flax retting process. A systematic approach has been adopted. The screening and selection of enzymes for flax retting has been carried out. Alkaline pectinase has been identified as the most appropriate enzyme for the flax retting purpose. Optimisation of process parameters has been carried out using alkaline pectinase, non-ionic surfactants and chelating agents in terms of concentration of enzyme and ot...

  2. Diclofenac removal in urine using strong-base anion exchange polymer resins.

    Science.gov (United States)

    Landry, Kelly A; Boyer, Treavor H

    2013-11-01

    One of the major sources of pharmaceuticals in the environment is wastewater effluent of which human urine contributes the majority of pharmaceuticals. Urine source separation has the potential to isolate pharmaceuticals at a higher concentration for efficient removal as well as produce a nutrient byproduct. This research investigated the efficacy of using strong-base anion exchange polymer resins to remove the widely detected and abundant pharmaceutical, diclofenac, from synthetic human urine under fresh and ureolyzed conditions. The majority of experiments were conducted using a strong-base, macroporous, polystyrene resin (Purolite A520E). Ion-exchange followed a two-step removal rate with rapid removal in 1 h and equilibrium removal in 24 h. Diclofenac removal was >90% at a resin dose of 8 mL/L in both fresh and ureolyzed urine. Sorption of diclofenac onto A520E resin was concurrent with desorption of an equivalent amount of chloride, which indicates the ion-exchange mechanism is occurring. The presence of competing ions such as phosphate and citrate did not significantly impact diclofenac removal. Comparisons of three polystyrene resins (A520E, Dowex 22, Dowex Marathon 11) as well as one polyacrylic resin (IRA958) were conducted to determine the major interactions between anion exchange resin and diclofenac. The results showed that polystyrene resins provide the highest level of diclofenac removal due to electrostatic interactions between quaternary ammonium functional groups of resin and carboxylic acid of diclofenac and non-electrostatic interactions between resin matrix and benzene rings of diclofenac. Diclofenac was effectively desorbed from A520E resin using a regeneration solution that contained 4.5% (m/m) NaCl in an equal-volume mixture of methanol and water. The greater regeneration efficiency of the NaCl/methanol-water mixture over the aqueous NaCl solution supports the importance of non-electrostatic interactions between resin matrix and benzene rings

  3. LUR models for particulate matters in the Taipei metropolis with high densities of roads and strong activities of industry, commerce and construction.

    Science.gov (United States)

    Lee, Jui-Huna; Wu, Chang-Fu; Hoek, Gerard; de Hoogh, Kees; Beelen, Rob; Brunekreef, Bert; Chan, Chang-Chuan

    2015-05-01

    Traffic intensity, length of road, and proximity to roads are the most common traffic indicators in the land use regression (LUR) models for particulate matter in ESCAPE study areas in Europe. This study explored what local variables can improve the performance of LUR models in an Asian metropolis with high densities of roads and strong activities of industry, commerce and construction. By following the ESCAPE procedure, we derived LUR models of PM₂.₅, PM₂.₅ absorbance, PM₁₀, and PMcoarse (PM₂.₅-₁₀) in Taipei. The overall annual average concentrations of PM₂.₅, PM₁₀, and PMcoarse were 26.0 ± 5.6, 48.6 ± 5.9, and 23.3 ± 3.1 μg/m(3), respectively, and the absorption coefficient of PM₂.₅ was 2.0 ± 0.4 × 10(-5)m(-1). Our LUR models yielded R(2) values of 95%, 96%, 87%, and 65% for PM₂.₅, PM₂.₅ absorbance, PM₁₀, and PMcoarse, respectively. PM₂.₅ levels were increased by local traffic variables, industrial, construction, and residential land-use variables and decreased by rivers; while PM₂.₅ absorbance levels were increased by local traffic variables, industrial, and commercial land-use variables in the models. PMcoarse levels were increased by elevated highways. Road area explained more variance than road length by increasing the incremental value of 27% and 6% adjusted R(2) for PM₂.₅ and PM₁₀ models, respectively. In the PM₂.₅ absorbance model, road area and transportation facility explain 29% more variance than road length. In the PMcoarse model, industrial and new local variables instead of road length improved the incremental value of adjusted R(2) from 39% to 60%. We concluded that road area can better explain the spatial distribution of PM₂.₅ and PM₂.₅ absorbance concentrations than road length. By incorporating road area and other new local variables, the performance of each PM LUR model was improved. The results suggest that road area is a better indicator of traffic intensity rather

  4. A Research on Development of Construction Industrialization Based on BIM Technology under the Background of Industry 4.0

    Directory of Open Access Journals (Sweden)

    Li Junjie

    2017-01-01

    Full Text Available “Industry 4.0” and “Made in China 2025”, the future strategic plans of the manufacturing industry in Germany and China, are being noted and studied all over the world. In this wave, information and industrialization of production are Construction industry development direction in the future. Based on the introduction of the strategic objectives of “Made in china 2025”, a new production pattern of construction industrialization, which is based on BIM technology, are put forward in this paper. Comparative analysis is used in the study of mechanism and development path of the production pattern. The dilemma of construction industrialization confronted at present is illustrated in this paper. Based on the background of implementation of “Made in China 2025”, the countermeasures and suggestions of the new production pattern have been proposed.

  5. Industry

    Energy Technology Data Exchange (ETDEWEB)

    Bernstein, Lenny; Roy, Joyashree; Delhotal, K. Casey; Harnisch, Jochen; Matsuhashi, Ryuji; Price, Lynn; Tanaka, Kanako; Worrell, Ernst; Yamba, Francis; Fengqi, Zhou; de la Rue du Can, Stephane; Gielen, Dolf; Joosen, Suzanne; Konar, Manaswita; Matysek, Anna; Miner, Reid; Okazaki, Teruo; Sanders, Johan; Sheinbaum Parado, Claudia

    2007-12-01

    This chapter addresses past, ongoing, and short (to 2010) and medium-term (to 2030) future actions that can be taken to mitigate GHG emissions from the manufacturing and process industries. Globally, and in most countries, CO{sub 2} accounts for more than 90% of CO{sub 2}-eq GHG emissions from the industrial sector (Price et al., 2006; US EPA, 2006b). These CO{sub 2} emissions arise from three sources: (1) the use of fossil fuels for energy, either directly by industry for heat and power generation or indirectly in the generation of purchased electricity and steam; (2) non-energy uses of fossil fuels in chemical processing and metal smelting; and (3) non-fossil fuel sources, for example cement and lime manufacture. Industrial processes also emit other GHGs, e.g.: (1) Nitrous oxide (N{sub 2}O) is emitted as a byproduct of adipic acid, nitric acid and caprolactam production; (2) HFC-23 is emitted as a byproduct of HCFC-22 production, a refrigerant, and also used in fluoroplastics manufacture; (3) Perfluorocarbons (PFCs) are emitted as byproducts of aluminium smelting and in semiconductor manufacture; (4) Sulphur hexafluoride (SF{sub 6}) is emitted in the manufacture, use and, decommissioning of gas insulated electrical switchgear, during the production of flat screen panels and semiconductors, from magnesium die casting and other industrial applications; (5) Methane (CH{sub 4}) is emitted as a byproduct of some chemical processes; and (6) CH{sub 4} and N{sub 2}O can be emitted by food industry waste streams. Many GHG emission mitigation options have been developed for the industrial sector. They fall into three categories: operating procedures, sector-wide technologies and process-specific technologies. A sampling of these options is discussed in Sections 7.2-7.4. The short- and medium-term potential for and cost of all classes of options are discussed in Section 7.5, barriers to the application of these options are addressed in Section 7.6 and the implication of

  6. Coupling Mechanism of the Tourism Industrial Network Based on Circular Economy

    OpenAIRE

    Han, Xinming; Zheng, Xiangjiang

    2009-01-01

    This paper summarizes the research situation of circular economy and tourism industrial network at home and abroad, introduces the concept and characteristics of tourism industrial network, and analyzes the coupling mechanism of tourism industrial network based on circular economy.

  7. Active galaxies. A strong magnetic field in the jet base of a supermassive black hole.

    Science.gov (United States)

    Martí-Vidal, Ivan; Muller, Sébastien; Vlemmings, Wouter; Horellou, Cathy; Aalto, Susanne

    2015-04-17

    Active galactic nuclei (AGN) host some of the most energetic phenomena in the universe. AGN are thought to be powered by accretion of matter onto a rotating disk that surrounds a supermassive black hole. Jet streams can be boosted in energy near the event horizon of the black hole and then flow outward along the rotation axis of the disk. The mechanism that forms such a jet and guides it over scales from a few light-days up to millions of light-years remains uncertain, but magnetic fields are thought to play a critical role. Using the Atacama Large Millimeter/submillimeter Array (ALMA), we have detected a polarization signal (Faraday rotation) related to the strong magnetic field at the jet base of a distant AGN, PKS 1830-211. The amount of Faraday rotation (rotation measure) is proportional to the integral of the magnetic field strength along the line of sight times the density of electrons. The high rotation measures derived suggest magnetic fields of at least tens of Gauss (and possibly considerably higher) on scales of the order of light-days (0.01 parsec) from the black hole. Copyright © 2015, American Association for the Advancement of Science.

  8. Polymer/Pristine Graphene Based Composites: From Emulsions to Strong, Electrically Conducting Foams

    Science.gov (United States)

    Woltornist, Steven; Carrillo, Jan-Michael; Xu, Thomas; Dobrynin, Andrey; Adamson, Douglas

    2015-03-01

    The unique electrical, thermal and mechanical properties of graphene make it a perfect candidate for applications in graphene/graphite based polymer composites, yet challenges due to the lack of solubility of pristine graphene/graphite in water, common organic solvents, and polymer solutions and melts have limited its practical utilization. Here we report a scalable and environmentally friendly technique to form water-in-oil type emulsions stabilized by a graphitic skin consisting of overlapping pristine graphene sheets that enables the synthesis of open cell foams containing a continuous graphitic skin network. At the heart of our technique is the strong attraction of graphene to high-energy oil and water interfaces. This allows for the creation of stable water-in-oil emulsions with controlled droplet size and overlapping graphene sheets playing the role of surfactant by covering the droplet surface and stabilizing the interfaces with a thin graphitic skin. These emulsions are used as templates for the synthesis of the open cell foams with densities below 0.35 g/cm3 and exhibiting remarkable mechanical and electrical properties including compressive moduli up to ~ 100 MPa, compressive strengths of over 8.3 MPa, and bulk conductivities approaching 7 S/m.

  9. 3D printable highly conductive and mechanically strong thermoplastic-based nanocomposites

    Science.gov (United States)

    Tabiai, Ilyass; Therriault, Daniel

    Highly conductive 3D printable inks can be used to design electrical devices with various functionalities and geometries. We use the solvent evaporation assisted 3D-printing method to create high resolution structures made of poly(lactid) acid (PLA) reinforced with multi-walled carbon nanotube (MWCNTs). We characterize fibers with diameters ranging between 100 μm to 330 μm and reinforced with MWCNTs from 0.5 up to 40wt% here. Tensile test, shrinkage ratio, density and electrical conductivity measurements of the printed nanocomposite are presented. The material's electrical conductivity is strongly improved by adding MWCNTs (up to 3000S/m), this value was found to be higher than any 3D-printable carbon based material available in the literature. It is observed that MWCNTs significantly increase the material's strength and stiffness while reducing its ductility. The ink's density was also higher while still being in the range of polymers' densities. The presented nanocomposite is light weight, highly conductive, has good mechanical properties and can be printed in a freeform fashion at the micro scale. A myriad of low power consumption with less resistive heating sensors and devices can potentially be designed using it and integrated into other 3D printable products.

  10. Industry

    OpenAIRE

    Schmidt-Belz, B.; Mohamad, Y.; Velasco, C.A.

    2009-01-01

    Industry plays a key role in the path towards eInclusion. While corporate social responsibility statements of leading companies confirm this, surveys show that there is still a long way to go. Among various reasons for the reluctant take-up of Design for All (DfA) by industry providing Information and Communication Technology (ICT), the lack of relevant knowledge and skills obviously plays a crucial role. Therefore, the DfA@eInclusion project has undertaken to develop curriculum guidelines an...

  11. Treatability study of pesticide-based industrial wastewater.

    Science.gov (United States)

    Shah, Kinnari; Chauhan, L I; Galgale, A D

    2012-10-01

    This paper finds out appropriate treatment methods for wastewater of an Organophosphorus viz, chloropyrifos pesticide manufacturing industry. The characterization of wastewater generated during trial production of chloropyrifos was carried out. Based on the characterization of wastewater, various treatability studies were conducted. The most desirable results were obtained with treatment scheme employing acidification, chlorination with NaOCl, suspended growth biological treatment, chemical precipitation for phosphorous removal and activated carbon treatment. Acidification of wastewater helps in by-product recovery as well as reduction in COD upto 36.26%. Chlorination followed by biological treatment was found to be effective to reduce the COD level by 62.06%. To comply with permissible limits prescribed by Effluent Channel Project Ltd.(ECPL)* and Gujarat Pollution Control Board (GPCB) for discharge of industrial effluent into channel, further treatment in the form of chemical precipitation (for phosphorous removal) and granular activated carbon is suggested.

  12. Market structure, industrial organisation and technological development: the case of the Japanese electronics-based nc-machine tool industry.

    OpenAIRE

    Watanabe, S

    1983-01-01

    ILO pub-WEP pub. Working paper on the impact of market structure and business organization on technological change in the automatic control machine tool industry in Japan - based on a 1982 sample survey of 40 industrial enterprises, discusses research and development trends, demand, production, subcontracting, competition, etc.; investigates the impact of electronics Innovation on small scale industry, the international division of labour and on developing countries. Bibliography and graphs.

  13. Industrial Based Migration in India. A Case Study of Dumdum "Dunlop Industrial Zone"

    Science.gov (United States)

    Das, Biplab; Bandyopadhyay, Aditya; Sen, Jayashree

    2012-10-01

    Migration is a very important part in our present society. Basically Millions of people moved during the industrial revolution. Some simply moved from a village to a town in the hope of finding work whilst others moved from one country to another in search of a better way of life. The main reason for moving home during the 19th century was to find work. On one hand this involved migration from the countryside to the growing industrial cities, on the other it involved rates of migration, emigration, and the social changes that were drastically affecting factors such as marriage,birth and death rates. These social changes taking place as a result of capitalism had far ranging affects, such as lowering the average age of marriage and increasing the size of the average family.Migration was not just people moving out of the country, it also invloved a lot of people moving into Britain. In the 1840's Ireland suffered a terrible famine. Faced with a massive cost of feeding the starving population many local landowners paid for labourers to emigrate.There was a shift away from agriculturally based rural dwelling towards urban habitation to meet the mass demand for labour that new industry required. There became great regional differences in population levels and in the structure of their demography. This was due to rates of migration, emigration, and the social changes that were drastically affecting factors such as marriage, birth and death rates. These social changes taking place as a result of capitalism had far ranging affects, such as lowering the average age of marriage and increasing the size of the average family. There is n serious disagreement as to the extent of the population changes that occurred but one key question that always arouses debate is that of whether an expanding population resulted in economic growth or vice versa, i.e. was industrialization a catalyst for population growth? A clear answer is difficult to decipher as the two variables are so

  14. From Family Based to Industrial Based Production: Local Economic Development Initiatives and the HELIX Model

    Directory of Open Access Journals (Sweden)

    Bartjan W Pennink

    2013-01-01

    Full Text Available To build a strong local economy, good practice tells us that each community should undertake a collaborative, strategically planned process to understand and then act upon its own strengths, weaknesses, opportunities and threats. From this perspective we start with the local communities but how is this related to the perspective from the Helix model in which three actors are explicitly introduced: the Government, the Industry and the Universities? The purpose of local economic development (LED is to build up the economic capacity of a local area to improve its economic future and the quality of life for all. To support  the Local Economic Development in remote areas,   a program  has been developed based on the LED frame work of the world bank. This approach and  the experiences over  the past years with this program are  described in the first part.  In the second part of the paper, We analyse work done with that program with the help of the social capital concept and the triple helix model.  In all cases it is important to pay attention to who is taken the initiative after the first move (and it is not always the governance as actor and for the triple helix we suggest  that the concepts of (national Government, Industry and University need a translation to Local Governance Agency, Cooperation or other ways of cooperation of local communities and Local Universities. Although a push from outside might help  a local region in development the endogenous factors are  also needed. Keywords: Triple Helix model, Local Economic Development, Local Actors, Double Triangle within the Helix Model

  15. Quaternized dimethylaminoethyl methacrylate strong base anion exchange fibers for As(V) adsorption

    International Nuclear Information System (INIS)

    Kavaklı, Cengiz; Akkaş Kavaklı, Pınar; Turan, Burcu Dila; Hamurcu, Aslı; Güven, Olgun

    2014-01-01

    N,N-Dimethylaminoethyl methacrylate (DMAEMA) grafted polyethylene/polypropylene (PE/PP) nonwoven fibers (DMAEMA-g-PE/PP) was prepared by radiation-induced graft polymerization. DMAEMA graft chains on nonwoven fibers were quaternized with dimethyl sulfate solution for the preparation of strong base anion exchange fibers (QDMAEMA-g-PE/PP). Fiber structures were characterized by FTIR, XPS and SEM techniques. The effect of solution pH, contact time, initial As(V) ion concentration and coexisting ions on the As(V) adsorption capacity of the QDMAEMA-g-PE/PP fibers were investigated by performing batch adsorption experiments. The adsorption of As(V) by QDMAEMA-g-PE/PP fibers was found to be independent on solution pH in the range 4.00–10.00. Kinetic experiments show that the As(V) adsorption rate was rapid and As(V) adsorption follows pseudo second-order kinetic model. As(V) adsorption equilibrium data were analyzed using Langmuir and Freundlich adsorption isotherm model equations. Langmuir and Freundlich adsorption isotherm models fitted the experimental data well. The maximum adsorption capacity (q max ) calculated from Langmuir isotherm was found to be 83.33 mg As(V)/g polymer at pH 7.00. The adsorbent was used for three cycles without significant loss of adsorption capacity. The adsorbed As(V) ions were desorbed effectively by a 0.1 M NaOH solution. - Highlights: • QDMAEMA-g-PE/PP fibers have high adsorption capacity for As(V) ions. • Adsorption of As(V) is independent on the solution pH over a wide range (4−10). • As(V) adsorption rate of QDMAEMA-g-PE/PP fibers is considerably fast. • The maximum adsorption capacity (q max ) was found to be 83.33 mg As(V)/g polymer

  16. Safety applications of computer based systems for the process industry

    International Nuclear Information System (INIS)

    Bologna, Sandro; Picciolo, Giovanni; Taylor, Robert

    1997-11-01

    Computer based systems, generally referred to as Programmable Electronic Systems (PESs) are being increasingly used in the process industry, also to perform safety functions. The process industry as they intend in this document includes, but is not limited to, chemicals, oil and gas production, oil refining and power generation. Starting in the early 1970's the wide application possibilities and the related development problems of such systems were recognized. Since then, many guidelines and standards have been developed to direct and regulate the application of computers to perform safety functions (EWICS-TC7, IEC, ISA). Lessons learnt in the last twenty years can be summarised as follows: safety is a cultural issue; safety is a management issue; safety is an engineering issue. In particular, safety systems can only be properly addressed in the overall system context. No single method can be considered sufficient to achieve the safety features required in many safety applications. Good safety engineering approach has to address not only hardware and software problems in isolation but also their interfaces and man-machine interface problems. Finally, the economic and industrial aspects of the safety applications and development of PESs in process plants are evidenced throughout all the Report. Scope of the Report is to contribute to the development of an adequate awareness of these problems and to illustrate technical solutions applied or being developed

  17. European defense industrial policy and the United Kingdom's defense industrial base

    OpenAIRE

    Keith Hartley

    2008-01-01

    This article addresses the relationship between European and U.K. defense industrial policy. It considers recent initiatives to create a European Defense Equipment Market and the U.K.’s Defense Industrial Strategy. The European and U.K. defense industries are evaluated and some of the future policy choices are assessed. The future defense firm will be different and there will be conflicts between efforts to open up national defense markets and the desire to maintain national defense industrie...

  18. Sustainable hemp-based composites for the building industry application

    Science.gov (United States)

    Schwarzova, Ivana; Stevulova, Nadezda; Junak, Jozef; Hospodarova, Viola

    2017-07-01

    Sustainability goals are essential driving principles for the development of innovative materials in the building industry. Natural plant (e.g. hemp) fibers represent an attractive alternative as reinforcing material due to its good properties and sustainability prerequisites. In this study, hemp-based composite materials, designed for building application as non-load bearing material, providing both thermal insulation and physico-mechanical properties, are presented. Composite materials were produced by bonding hemp hurds with a novel inorganic binder (MgO-based cement) and then were characterized in terms of physical properties (bulk density, water absorption), thermal properties (thermal conductivity) and mechanical properties (compressive and tensile strength). The composites exhibited promising physical, thermal and mechanical characteristics, generally comparable to commercially available products. In addition, the hemp-based composites have the advantage of a significantly low environmental impact (thanks to the nature of both the dispersed and the binding phase) and no negative effects on human health. All things considered, the composite materials seem like very promising materials for the building industry application.

  19. A Rule-Based Industrial Boiler Selection System

    Science.gov (United States)

    Tan, C. F.; Khalil, S. N.; Karjanto, J.; Tee, B. T.; Wahidin, L. S.; Chen, W.; Rauterberg, G. W. M.; Sivarao, S.; Lim, T. L.

    2015-09-01

    Boiler is a device used for generating the steam for power generation, process use or heating, and hot water for heating purposes. Steam boiler consists of the containing vessel and convection heating surfaces only, whereas a steam generator covers the whole unit, encompassing water wall tubes, super heaters, air heaters and economizers. The selection of the boiler is very important to the industry for conducting the operation system successfully. The selection criteria are based on rule based expert system and multi-criteria weighted average method. The developed system consists of Knowledge Acquisition Module, Boiler Selection Module, User Interface Module and Help Module. The system capable of selecting the suitable boiler based on criteria weighted. The main benefits from using the system is to reduce the complexity in the decision making for selecting the most appropriate boiler to palm oil process plant.

  20. Strong plasma shock structures based on the Navier--Stokes equations

    International Nuclear Information System (INIS)

    Abe, K.

    1975-01-01

    The structure of a plasma collisional shock wave is examined on the basis of the Navier--Stokes equations and simultaneously on the basis of the Fokker--Planck equation. The resultant structures are compared to check the validity of the Navier--Stokes equations applied to the structures of strong shock waves. The Navier--Stokes equations give quite correct structures for weak shock waves. For the strong shock waves, the detailed structures obtained from the Navier--Stokes equations differ from the results of the Fokker--Planck equation, but the shock thicknesses of the two shock waves are in relatively close agreement

  1. Note on a reformulation of the strong cosmic censor conjecture based on computability

    Science.gov (United States)

    Etesi, Gábor

    2002-12-01

    In this Letter we provide a reformulation of the strong cosmic censor conjecture taking into account recent results on Malament-Hogarth space-times. We claim that the strong version of the cosmic censor conjecture can be formulated by postulating that a physically reasonable space-time is either globally hyperbolic or possesses the Malament-Hogarth property. But it is known that a Malament-Hogarth space-time in principle is capable for performing non-Turing computations such as checking consistency of ZFC set theory. In this way we get an intimate conjectured link between the cosmic censorship scenario and computability theory.

  2. Note on a reformulation of the strong cosmic censor conjecture based on computability

    Energy Technology Data Exchange (ETDEWEB)

    Etesi, Gabor

    2002-12-12

    In this Letter we provide a reformulation of the strong cosmic censor conjecture taking into account recent results on Malament-Hogarth space-times. We claim that the strong version of the cosmic censor conjecture can be formulated by postulating that a physically reasonable space-time is either globally hyperbolic or possesses the Malament-Hogarth property. But it is known that a Malament-Hogarth space-time in principle is capable for performing non-Turing computations such as checking consistency of ZFC set theory. In this way we get an intimate conjectured link between the cosmic censorship scenario and computability theory.

  3. Note on a reformulation of the strong cosmic censor conjceture based on computability

    OpenAIRE

    Etesi, Gabor

    2002-01-01

    In this letter we provide a reformulation of the strong cosmic censor conjecture taking into account recent results on Malament--Hogarth space-times. We claim that the strong version of the cosmic censor conjecture can be formulated by postulating that a physically relevant space-time is either globally hyperbolic or possesses the Malament--Hogarth property. But it is known that a Malament--Hogarth space-time in principle is capable for performing non-Turing computations such as checking cons...

  4. Report of the U.S. Nuclear Regulatory Commission Piping Review Committee. Summary and evaluation of historical strong-motion earthquake seismic response and damage to aboveground industrial piping

    International Nuclear Information System (INIS)

    1985-04-01

    The primary purpose of this report is to collect in one reference document the observation and experience that has been developed with regard to the seismic behavior of aboveground, building-supported, industrial-type process piping (similar to piping used in nuclear power plants) in strong-motion earthquakes. The report will also contain observations regarding the response of piping in strong-motion experimental tests and appropriate conclusions regarding the behavior of such piping in large earthquakes. Recommendations are included covering the future design of such piping to resist earthquake motion damage based on observed behavior in large earthquakes and simulated shake table testing. Since available detailed data on the behavior of aboveground (building-supported) piping are quite limited, this report will draw heavily on the observations and experiences of experts in the field. In Section 2 of this report, observed earthquake damage to aboveground piping in a number of large-motion earthquakes is summarized. In Section 3, the available experience from strong-motion testing of piping in experimental facilities is summarized. In Section 4 are presented some observations that attempt to explain the observed response of piping to strong-motion excitation from actual earthquakes and shake table testing. Section 5 contains the conclusions based on this study and recommendations regarding the future seismic design of piping based on the observed strong-motion behavior and material developed for the NPC Piping Review Committee. Finally, in Section 6 the references used in this study are presented. It should be understood that the use of the term piping in this report, in general, is limited to piping supported by building structures. It does not include behavior of piping buried in soil media. It is believed that the seismic behavior of buried piping is governed primarily by the deformation of the surrounding soil media and is not dependent on the inertial response

  5. S-Layer-Based Nanocomposites for Industrial Applications.

    Science.gov (United States)

    Raff, Johannes; Matys, Sabine; Suhr, Matthias; Vogel, Manja; Günther, Tobias; Pollmann, Katrin

    2016-01-01

    This chapter covers the fundamental aspects of bacterial S-layers: what are S-layers, what is known about them, and what are their main features that makes them so interesting for the production of nanostructures. After a detailed introduction of the paracrystalline protein lattices formed by S-layer systems in nature the chapter explores the engineering of S-layer-based materials. How can S-layers be used to produce "industry-ready" nanoscale bio-composite materials, and which kinds of nanomaterials are possible (e.g., nanoparticle synthesis, nanoparticle immobilization, and multifunctional coatings)? What are the advantages and disadvantages of S-layer-based composite materials? Finally, the chapter highlights the potential of these innovative bacterial biomolecules for future technologies in the fields of metal filtration, catalysis, and bio-functionalization.

  6. Hydrogen-based industry from remote excess hydroelectricity

    International Nuclear Information System (INIS)

    Ouellette, N.; Rogner, H.-H.; Scott, D.S.

    1997-01-01

    This paper examines synergies, opportunities and barriers associated with hydrogen and excess hydro-electricity in remote areas. The work is based on a case study that examined the techno-economic feasibility of a new hydrogen-based industry using surplus/off-peak generating capacity of the Taltson Dam and Generating Station in the Northwest Territories, Canada. After evaluating the amount and cost of hydrogen that could be produced from the excess capacity, the study investigates three hydrogen utilization scenarios: (1) merchant liquid or compressed hydrogen, (2) hydrogen as a chemical feedstock for the production of hydrogen peroxide, (3) methanol production from biomass, oxygen and hydrogen. Hydrogen peroxide production is the most promising and attractive strategy in the Fort Smith context. The study also illustrates patterns that recur in isolated sites throughout the world. (Author)

  7. Treatment of chronic pain in older people: Evidence-based choice of strong-acting opioids

    NARCIS (Netherlands)

    van Ojik, Annette L.; Jansen, Paul A. F.; Brouwers, Jacobus R. B. J.; van Roon, Eric N.

    2012-01-01

    In the treatment of chronic malignant and non-malignant pain, opioids are used as strong analgesics. Frail elderly patients often have multiple comorbidities and use multiple medicines, leading to an increased risk of clinically relevant drug-drug and drug-disease interactions. Age-related changes

  8. Globalization and the Military Industrial Base: Where Should U.S. Policy Go?

    National Research Council Canada - National Science Library

    Sundell, Dennis R

    2007-01-01

    .... military industrial base. While the prospects of globalization have provided the defense industrial base with rewards including reduced costs as a result of competition and greater access to foreign technologies it has also created some threats...

  9. Integrating Industry in Project Organized Problem Based Learning for Engineering Educations

    DEFF Research Database (Denmark)

    Nielsen, Kirsten M.

    2006-01-01

    This abstract deals with the challenge of establishing engineering student projects in collaboration with industry. Based on empirical results a set of advices for industrial collaboration in project oriented problem based learning are formulated...

  10. How mushrooms feed on compost: conversion of carbohydrates and linin in industrial wheat straw based compost enabling the growth of Agaricus bisporus

    NARCIS (Netherlands)

    Jurak, E.

    2015-01-01

    <strong>Abstract> In this thesis, the fate of carbohydrates and lignin was studied in industrial wheat straw based compost during composting and growth of Agaricus bisporus. The aim was to understand the availability and degradability of carbohydrates in order to help improve their

  11. Globalized Security: An Allied Industrial Base for the 21st Century

    Science.gov (United States)

    2002-01-01

    Globalized Security: An Allied Industry Base for the 21st Century 151 OP NION GLOBALIZED SECURITY: AN ALLIED INDUSTRIAL BASE FOR THE 21ST CENTURY Lt...Col Shannon Sullivan, USAF During the Cold War, the United States maintained an extensive industrial base in the event of a global war with the Soviet...2002 4. TITLE AND SUBTITLE Globalized Security: An Allied Industrial Base for the 21st Century 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM

  12. A strategy for the preparation of thioantimonates based on the concept of weak acids and corresponding strong bases.

    Science.gov (United States)

    Anderer, Carolin; Delwa de Alarcón, Natalie; Näther, Christian; Bensch, Wolfgang

    2014-12-15

    By following a new synthetic approach, which is based on the in situ formation of a basic medium by the reaction between the strong base Sb(V)S4 (3-) and the weak acid H2 O, it was possible to prepare three layered thioantimonate(III) compounds of composition [TM(2,2'-bipyridine)3 ][Sb6 S10 ] (TM=Ni, Fe) and [Ni(4,4'-dimethyl-2,2'-bipyridine)3 ][Sb6 S10 ] under hydrothermal conditions featuring two different thioantimonate(III) network topologies. The antimony source, Na3 SbS4 ⋅ 9 H2 O, undergoes several decomposition reactions and produces the Sb(III) S3 species, which condenses to generate the layered anion. The application of transition-metal complexes avoids crystallization of dense phases. The reactions are very fast compared to conventional hydrothermal/solvothermal syntheses and are much less sensitive to changes of the reaction parameters. © 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  13. Prediction of strong ground motion based on scaling law of earthquake

    International Nuclear Information System (INIS)

    Kamae, Katsuhiro; Irikura, Kojiro; Fukuchi, Yasunaga.

    1991-01-01

    In order to predict more practically strong ground motion, it is important to study how to use a semi-empirical method in case of having no appropriate observation records for actual small-events as empirical Green's functions. We propose a prediction procedure using artificially simulated small ground motions as substitute for the actual motions. First, we simulate small-event motion by means of stochastic simulation method proposed by Boore (1983) in considering pass effects such as attenuation, and broadening of waveform envelope empirically in the objective region. Finally, we attempt to predict the strong ground motion due to a future large earthquake (M 7, Δ = 13 km) using the same summation procedure as the empirical Green's function method. We obtained the results that the characteristics of the synthetic motion using M 5 motion were in good agreement with those by the empirical Green's function method. (author)

  14. PBAT based nanocomposites for medical and industrial applications

    International Nuclear Information System (INIS)

    Fukushima, Kikku; Wu, Meng-Hsiu; Bocchini, Sergio; Rasyida, Amaliya; Yang, Ming-Chien

    2012-01-01

    Poly(butylene adipate-co-terephthalate) (PBAT) based nanocomposites were prepared by melt blending PBAT with 5 and 10 wt.% of clay nanoparticles (unmodified and modified montmorillonites, unmodified and modified fluoro-hectorites, and unmodified sepiolites). All nanocomposites showed a good level of clay distribution and dispersion into PBAT, especially nanocomposites with high clay chemical affinity with the polymer matrix. DSC results showed that addition of layered silicates slightly hindered kinetics and extent of crystallization of PBAT; however, sepiolite particles were able to promote polymer crystallization kinetics and the transformation of the PBAT crystal structure to a more ordered form. Similar increases in the thermal stability of PBAT in nitrogen and air were obtained upon addition of all clays, due to a barrier effect of the clays toward polymer decomposition product ablation. Preliminary biocompatibility tests indicated that PBAT based materials with 10% clay content have good biological safety and display almost no cytotoxicity. The addition of all nanofillers increased the hardness of PBAT matrix. The DMA analysis showed that all nanocomposites presented higher E′ values than neat PBAT, indicating that addition of clays improved the mechanical properties of PBAT. For layered silicate nanocomposites, the main influencing factors on the thermo-mechanical properties appeared to be the aspect ratio and dispersion of clay nanoplatelets, rather than polymer/clay chemical affinity. The highest E′ values of sepiolite based nanocomposites make this nanoparticle the most attractive material for tissue engineering and environmental industrial applications. Highlights: ► PBAT nanocomposites with high thermo-mechanical properties were obtained. ► The effects of clay presence on PBAT crystalline structure were elucidated. ► The presence of the clays used in PBAT showed good biological safety. ► Sepiolites brought the higher improvements in PBAT

  15. Russian Fighter Aircraft Industrial Base: Parallels with the United States

    National Research Council Canada - National Science Library

    Bolkcom, Christopher; Schwarzler, Ellen

    2000-01-01

    ... and allocated resources for construction. Once among the most glamorous components of the Soviet military industrial complex, the Russian military aircraft industry has been described by some analysts as being on the verge of collapse...

  16. The Research of Scrapped Automobiles Recycling and Disassembling Industry Development Based on Auto Industry Chain

    Directory of Open Access Journals (Sweden)

    linhua Pang

    2015-01-01

    Full Text Available The number of China’s scrapped car is on an explosively growing trend, and the development of scrapped car recycling industry has a golden prospect. The current scrapped car recycling system is not perfect in our country, because related industries driven by market develop slowly, and there are some outstanding problems such as potential safety risks, environmental pollution and resource waste. The paper analyzes and studies the existing problems and countermeasures to investigate the development strategy of scrapped car recycling industry according to the whole automobile industry chain construction, technology and equipment conditions, policy guidance, etc. and at last explore the new industrial development pattern of serving automobile reverse design.

  17. A Nuclear Safety System based on Industrial Computer

    International Nuclear Information System (INIS)

    Kim, Ji Hyeon; Oh, Do Young; Lee, Nam Hoon; Kim, Chang Ho; Kim, Jae Hack

    2011-01-01

    The Plant Protection System(PPS), a nuclear safety Instrumentation and Control (I and C) system for Nuclear Power Plants(NPPs), generates reactor trip on abnormal reactor condition. The Core Protection Calculator System (CPCS) is a safety system that generates and transmits the channel trip signal to the PPS on an abnormal condition. Currently, these systems are designed on the Programmable Logic Controller(PLC) based system and it is necessary to consider a new system platform to adapt simpler system configuration and improved software development process. The CPCS was the first implementation using a micro computer in a nuclear power plant safety protection system in 1980 which have been deployed in Ulchin units 3,4,5,6 and Younggwang units 3,4,5,6. The CPCS software was developed in the Concurrent Micro5 minicomputer using assembly language and embedded into the Concurrent 3205 computer. Following the micro computer based CPCS, PLC based Common-Q platform has been used for the ShinKori/ShinWolsong units 1,2 PPS and CPCS, and the POSAFE-Q PLC platform is used for the ShinUlchin units 1,2 PPS and CPCS. In developing the next generation safety system platform, several factors (e.g., hardware/software reliability, flexibility, licensibility and industrial support) can be considered. This paper suggests an Industrial Computer(IC) based protection system that can be developed with improved flexibility without losing system reliability. The IC based system has the advantage of a simple system configuration with optimized processor boards because of improved processor performance and unlimited interoperability between the target system and development system that use commercial CASE tools. This paper presents the background to selecting the IC based system with a case study design of the CPCS. Eventually, this kind of platform can be used for nuclear power plant safety systems like the PPS, CPCS, Qualified Indication and Alarm . Pami(QIAS-P), and Engineering Safety

  18. An information system for the building industries: A communication approach based on industrial components

    Directory of Open Access Journals (Sweden)

    A F Cutting-Decelle

    2006-01-01

    Full Text Available This paper presents the SYDOX/MATCOMP/Xi project, funded by the French Ministry of Industry. The goal of the project was to provide the construction professionals with an on-line aid for component specification and selection at different levels of the construction life cycle. This two years project started in 1997 and involved several partners. This paper describes the main features of the information system: databases, query and communication systems. SYDOX(SYstème de DOnnées compleXes is aimed at defining and demonstrating a prototype to access information about MATerials and COMPonents used in construction, implemented on a WWW server. Though the objective is general, the work was focused on a restricted sub-section of the construction domain. We describe the domain and the scope of the project, the starting point and the lessons learnt from the development of the prototype. We also propose some important ideas on which this research is based.

  19. A survey of activity-based costing in hotel industry

    Directory of Open Access Journals (Sweden)

    Zadollah Fathi

    2015-09-01

    Full Text Available This paper presents an empirical investigation on implementation of activity based cost (ABC method in hotel industry. The study determines four possible factors of organizational, environmental, individual and technological, which could influence on ABC implementation. The study selects a sample of 205 employees who worked for Laleh International Hotel in Iran. Using one-way t-student test, the study has determined that all variables were effective on ABC implementation while individual factor was the most important one. In addition, correlation test has determined that all variables had meaningful correlations with each other. Further investigation indicates that gender did not play essential role for ABC implementation while experienced employee tended to be more effective for the success of ABC implementation.

  20. Fluid-based radon mitigation technology development for industrial applications

    International Nuclear Information System (INIS)

    Liu, K.V.; Gabor, J.D.; Holtz, R.E.; Gross, K.C.

    1996-01-01

    The objective of the radon mitigation technology development effort is to develop an efficient and economical radon gas removal technology based on a fluid absorption process. The technology must be capable of cleaning up a wide range of radon gas stream concentrations to a level that meets EPA gas emission standards for residential and industrial applications. Argonne has recently identified a phenomenon that offers the possibility of radon recovery from the atmosphere with high efficiency at room temperature, and radon release at slightly elevated temperatures (50-60 degrees C.) such a device would offer numerous substantial advantages over conventional cryogenic charcoal systems for the removal of radon. Controlled sources of radon in Argonne's radon research facility are being used to quantitatively assess the performance of a selected class of absorbing fluids over a range of radon concentrations. This paper will discuss the design of laboratory- and engineering-scale radon absorption units and present some preliminary experimental test results

  1. Toward design-based engineering of industrial microbes.

    Science.gov (United States)

    Tyo, Keith E J; Kocharin, Kanokarn; Nielsen, Jens

    2010-06-01

    Engineering industrial microbes has been hampered by incomplete knowledge of cell biology. Thus an iterative engineering cycle of modeling, implementation, and analysis has been used to increase knowledge of the underlying biology while achieving engineering goals. Recent advances in Systems Biology technologies have drastically improved the amount of information that can be collected in each iteration. As well, Synthetic Biology tools are melding modeling and molecular implementation. These advances promise to move microbial engineering from the iterative approach to a design-oriented paradigm, similar to electrical circuits and architectural design. Genome-scale metabolic models, new tools for controlling expression, and integrated -omics analysis are described as key contributors in moving the field toward Design-based Engineering. Copyright 2010 Elsevier Ltd. All rights reserved.

  2. Environmental emissions by Chinese industry: Exergy-based unifying assessment

    International Nuclear Information System (INIS)

    Bo Zhang; Chen, G.Q.; Xia, X.H.; Li, S.C.; Chen, Z.M.; Xi Ji

    2012-01-01

    Based on chemical exergy as an objective measure for the chemical deviation between the emission and the environment, a unifying assessment is carried out for major environmental emissions covering COD, ammonia nitrogen, SO 2 , soot, dust, NO x and solid waste by Chinese industry over 1997–2006, with emphasis on the sectoral and regional levels in 2006. Of the total emission in exergy up to 274.1 PJ in 2006, 67.7% is estimated from waste gases, 29.9% from waste water and 2.4% from solid waste. Five of 40 sectors and 12 of 30 regions are responsible for 72.7% and 65.5% of the total emission, respectively. SO 2 is the leading emission type in 9 sectors and 25 regions, and COD in another 28 sectors and 5 regions. Some pollution-intensive sectors such as Production and Distribution of Electric Power and Heat Power and Manufacture of Paper and Paper Products, and western and inland regions such as Guangxi and Ningxia with high emission intensities are identified. By clustering and disjoint principal component analysis with intensities of emissions and fuel coal use as variables, three principal components are extracted, and four statistically significant clusters are pinpointed in the sectoral and regional analysis. Corresponding policy-making implications are addressed. - Highlights: ► A chemical exergy-based unifying assessment for industrial emissions is performed. ► The emissions at the sectoral/regional levels in 2006 are systematically revealed. ► The main principal components and clusters for emission intensities are pinpointed.

  3. Strong Optical Shock excitation in the mismatched regime of bubble plasma-wave based LWFA

    Science.gov (United States)

    Sahai, Aakash

    2017-10-01

    We present investigations into the excitation of a strong optical shock through slicing of a high intensity laser pulse driving a bubble plasma wave in a regime of mis-match between the incident laser waist-size and the bubble size ( = 2√{a0} c /ωpe). In the matched regime, it is well-known that over long timescales, the laser continuously undergoes differential frequency-shifts in different bubble phases, forming an optical shock. In the mis-matched regime, rapid laser waist and resulting bubble oscillations change the location of the peak laser ponderomotive force. This changes the location and the magnitude of the peak electron density interacting with the laser pulse. A sudden increase in the electron density during a laser radial squeeze event, slices the laser envelope longitudinally near its peak amplitude, exciting a strong optical shock state. This is shown to occur much earlier in laser evolution only over a narrow range of plasma densities where the imbalance between the longitudinal & radial ponderomotive forces excites elongated bubbles, injects ultra-low emittance electron beams and sustains ultra-high peak plasma fields. We acknowledge STFC Grants ST/J002062/1 and ST/P000835/1 for the John Adams Institute of Accelerator Science.

  4. Auction development for the price-based electric power industry

    Science.gov (United States)

    Dekrajangpetch, Somgiat

    The restructuring of the electric power industry is to move away from the cost-based monopolistic environment of the past to the priced-based competitive environment. As the electric power industry is restructuring in many places, there are still many problems that need to be solved. The work in this dissertation contributes to solve some of the electric power auction problems. The majority of this work is aimed to help develop good markets. A LaGrangian relaxation (LR) Centralized Daily Commitment Auction (CDCA) has been implemented. It has been shown that the solution might not be optimal nor fair to some generation companies (GENCOs) when identical or similar generating units participate in a LR CDCA based auction. Supporting information for bidding strategies on how to change unit data to enhance the chances of bid acceptance has been developed. The majority of this work is based on Single Period Commodity Auction (SPCA). Alternative structures for the SPCA are outlined. Whether the optimal solution is degenerated is investigated. Good pricing criteria are summarized and the pricing method following good pricing criteria is developed. Electricity is generally considered as a homogeneous product. When availability level is used as additional characteristic to distinct electricity, electricity can be considered a heterogeneous product. The procedure to trade electricity as a heterogeneous product is developed. The SPCA is formulated as a linear program. The basic IPLP algorithm has been extended so that sensitivity analysis can be performed as in the simplex method. Sensitivity analysis is used to determine market reach. Additionally, sensitivity analysis is used in combination with the investigation of historical auction results to provide raw data for power system expansion. Market power is a critical issue in electric power deregulation. Firms with market power have an advantage over other competitor firms in terms of market reach. Various approaches to

  5. Strong source heat transfer simulations based on a GalerKin/Gradient - least - squares method

    International Nuclear Information System (INIS)

    Franca, L.P.; Carmo, E.G.D. do.

    1989-05-01

    Heat conduction problems with temperature-dependent strong sources are modeled by an equation with a laplacian term, a linear term and a given source distribution term. When the linear-temperature-dependent source term is much larger than the laplacian term, we have a singular perturbation problem. In this case, boundary layers are formed to satisfy the Dirichlet boundary conditions. Although this is an elliptic equation, the standard Galerkin method solution is contaminated by spurious oscillations in the neighborhood of the boundary layers. Herein we employ a Galerkin/Gradient-least-squares method which eliminates all pathological phenomena of the Galerkin method. The method is constructed by adding to the Galerkin method a mesh-dependent term obtained by the least-squares form of the gradient of the Euler-Lagrange equation. Error estimates, numerical simulations in one-and multi-dimensions are given that attest the good stability and accuracy properties of the method [pt

  6. Research on killing Escherichia Coli by reactive oxygen species based on strong ionization discharging plasma

    International Nuclear Information System (INIS)

    Li, Y J; Tian, Y P; Zhang, Z T; Li, R H; Cai, L J; Gao, J Y

    2013-01-01

    Reactive oxygen species solution produced by strong ionization discharging plasma was used to kill Escherichia coli by spraying. Several effect factors such as pH value, solution temperature, spraying time and exposure time were observed in this study, and their effects on killing rate of Escherichia coli were discussed and analysed. Results show that the treating efficiency of ROS solution for Escherichia coli is higher in alkaline solution than that in acid solution. The killing rate of Escherichia coli increases while the spraying time and exposure time are longer and the temperature is lower. The effects of different factors on killing rate of Escherichia coli are as follows: spraying time > pH value > exposure time > solution temperature.

  7. Strong lethality and teratogenicity of strobilurins on Xenopus tropicalis embryos: Basing on ten agricultural fungicides

    International Nuclear Information System (INIS)

    Li, Dan; Liu, Mengyun; Yang, Yongsheng; Shi, Huahong; Zhou, Junliang; He, Defu

    2016-01-01

    Agricultural chemical inputs have been considered as a risk factor for the global declines in amphibian populations, yet the application of agricultural fungicides has increased dramatically in recent years. Currently little is known about the potential toxicity of fungicides on the embryos of amphibians. We studied the effects of ten commonly used fungicides (four strobilurins, two SDHIs, two triazoles, fludioxonil and folpet) on Xenopus tropicalis embryos. Lethal and teratogenic effects were respectively examined after 48 h exposure. The median lethal concentrations (LC50s) and the median teratogenic concentrations (TC50s) were determined in line with actual exposure concentrations. These fungicides except two triazoles showed obvious lethal effects on embryos; however LC50s of four strobilurins were the lowest and in the range of 6.81–196.59 μg/L. Strobilurins, SDHIs and fludioxonil induced severe malformations in embryos. Among the ten fungicides, the lowest TC50s were observed for four strobilurins in the range of 0.61–84.13 μg/L. The teratogenicity shared similar dose–effect relationship and consistent phenotypes mainly including microcephaly, hypopigmentation, somite segmentation and narrow fins. The findings indicate that the developmental toxicity of currently-used fungicides involved with ecologic risks on amphibians. Especially strobilurins are highly toxic to amphibian embryos at μg/L level, which is close to environmentally relevant concentrations. - Highlights: • Effects of ten agricultural fungicides were tested on Xenopus tropicalis embryos. • Strobilurin fungicides showed strong lethal and teratogenic effects on embryos. • Lowest LC50 and TC50 were observed for strobilurins in ten fungicides. • μg/L level of toxic concentrations for strobilurins was environmentally relevant. • Teratogenicity shared similar dose–effect relationship and main phenotypes. - Strobilurins induced strong lethality and teratogenicity on Xenopus

  8. On thermodynamics of rhenium ion exchange sorption by strong-base anionite from nitrate-sulfate solutions

    International Nuclear Information System (INIS)

    Blokhin, A.A.; Pak, V.I.; Siracheva, M.K.

    1984-01-01

    The apparent thermodynamic parameters of the process of rhenium absorption by strong-base anionites from nitrate-sulfate media in the range of low degrees of filling the sorbents with perrhenate ions are estimated. On the basis of studying the temperature dependence of ion-exchange rhenium sorption it is shown that this process is accompanied by heat release and entropy reduction

  9. Mass market development strategies of software industries: Case study based research

    Directory of Open Access Journals (Sweden)

    Varun Gupta

    2016-09-01

    Full Text Available The success in competitive mass market software development depends on the quality of software development and market segments targeted. Market segments are categorized by uncertainties contributed by “Newness” and “turbulences”, making the software success stochastic in nature. Selecting good market segments, delivering high quality software versions in the lowest time than competitors, result in increasing demand in markets and ultimately revenues. Enhanced customer base is beneficial for current product as well as for future products of industry in the form of increased reputation and increased involvement of customers in future development. The case study was conducted with 13 representatives drawing experiences of 14 mass market projects. Results indicate that software solutions are delivered to few investors or in highly competitive markets, as per the survey's findings of the marketing departments. The software organizations are reluctant to deliver relatively complex solutions in new markets unless and until strongly convinced with the probable success. The method for selection of market segments belonging to new and existing markets for undertaking the software delivery is also proposed in this paper. The model will help software industry decide the market segments and high abstract level features that could increase probability of software success. Poor selection of markets or targeting markets of “improper” size affects the market share of the industry to a great extend.

  10. Exergy-based comparison of two Greek industries

    DEFF Research Database (Denmark)

    Xydis, George; Koroneos, C.; Naniki, E.

    2011-01-01

    In this work, the potential of the increase in exergy and energy efficiency of the Greek construction and Food, Drink and Tobacco (FDT) industries has been examined using energy and exergy analysis methodology. These two industries play a vital role towards sustainable development of the country....... The continuous increase in energy use in these two industries during the years 1971–2000 shows that both remain steadily in an ascendant orbit. The aim was to analyse and compare the energy use and exergy consumption in the Greek construction and FDT industries to gain insights into each sector's efficiency...

  11. New Liquid Phases for the Gas Chromatographic Separation of Strong Bases on Capillary Columns

    OpenAIRE

    Grob, K.

    2017-01-01

    The current practice of pretreating the solid support with free alkali to increase separation efficiency for basic compounds proved to be unsuitable for capillary columns. Instead of this, homogenous organic materials of high base strength are required. We found polyethylene imine (PEI) and polypropylene imine (PPI) to be very efficient as liquid phases of capillary columns for the separation of bases. The preparation of polymers is mentioned. Silanization or acetylation of the free hydroxyl ...

  12. Confined surface plasmon sensors based on strongly coupled disk-in-volcano arrays.

    Science.gov (United States)

    Ai, Bin; Wang, Limin; Möhwald, Helmuth; Yu, Ye; Zhang, Gang

    2015-02-14

    Disk-in-volcano arrays are reported to greatly enhance the sensing performance due to strong coupling in the nanogaps between the nanovolcanos and nanodisks. The designed structure, which is composed of a nanovolcano array film and a disk in each cavity, is fabricated by a simple and efficient colloidal lithography method. By tuning structural parameters, the disk-in-volcano arrays show greatly enhanced resonances in the nanogaps formed by the disks and the inner wall of the volcanos. Therefore they respond to the surrounding environment with a sensitivity as high as 977 nm per RIU and with excellent linear dependence on the refraction index. Moreover, through mastering the fabrication process, biological sensing can be easily confined to the cavities of the nanovolcanos. The local responsivity has the advantages of maximum surface plasmon energy density in the nanogaps, reducing the sensing background and saving expensive reagents. The disk-in-volcano arrays also possess great potential in applications of optical and electrical trapping and single-molecule analysis, because they enable establishment of electric fields across the gaps.

  13. Globalization and Its Implications for the Defense Industrial Base

    Science.gov (United States)

    2007-02-01

    defense industry: the globalization of capital (finance), production, trade, technology and labor; and the changes in global governance that...defense industry. They include the globalization of capital (finance), production, trade, technology and labor, and the changes in global governance... globalization and technology provides both risks and opportunities, and policies geared toward preserving a perceived U.S. advantage in technology may

  14. Sugar-Based Polyamides: Self-Organization in Strong Polar Organic Solvents.

    Science.gov (United States)

    Rosu, Cornelia; Russo, Paul S; Daly, William H; Cueto, Rafael; Pople, John A; Laine, Roger A; Negulescu, Ioan I

    2015-09-14

    Periodic patterns resembling spirals were observed to form spontaneously upon unassisted cooling of d-glucaric acid- and d-galactaric acid-based polyamide solutions in N-methyl-N-morpholine oxide (NMMO) monohydrate. Similar observations were made in d-galactaric acid-based polyamide/ionic liquid (IL) solutions. The morphologies were investigated by optical, polarized light and confocal microscopy assays to reveal pattern details. Differential scanning calorimetry was used to monitor solution thermal behavior. Small- and wide-angle X-ray scattering data reflected the complex and heterogeneous nature of the self-organized patterns. Factors such as concentration and temperature were found to influence spiral dimensions and geometry. The distance between rings followed a first-order exponential decay as a function of polymer concentration. Fourier-Transform Infrared Microspectroscopy analysis of spirals pointed to H-bonding between the solvent and the pendant hydroxyl groups of the glucose units from the polymer backbone. Tests on self-organization into spirals of ketal-protected d-galactaric acid polyamides in NMMO monohydrate confirmed the importance of the monosaccharide's pendant free hydroxyl groups on the formation of these patterns. Rheology performed on d-galactaric-based polyamides at high concentration in NMMO monohydrate solution revealed the optimum conditions necessary to process these materials as fibers by spinning. The self-organization of these sugar-based polyamides mimics certain biological materials.

  15. Knowledge base about earthquakes as a tool to minimize strong events consequences

    Science.gov (United States)

    Frolova, Nina; Bonnin, Jean; Larionov, Valery; Ugarov, Alexander; Kijko, Andrzej

    2017-04-01

    The paper describes the structure and content of the knowledge base on physical and socio-economical consequences of damaging earthquakes, which may be used for calibration of near real-time loss assessment systems based on simulation models for shaking intensity, damage to buildings and casualties estimates. Such calibration allows to compensate some factors which influence on reliability of expected damage and loss assessment in "emergency" mode. The knowledge base contains the description of past earthquakes' consequences for the area under study. It also includes the current distribution of built environment and population at the time of event occurrence. Computer simulation of the recorded in knowledge base events allow to determine the sets of regional calibration coefficients, including rating of seismological surveys, peculiarities of shaking intensity attenuation and changes in building stock and population distribution, in order to provide minimum error of damaging earthquakes loss estimations in "emergency" mode. References 1. Larionov, V., Frolova, N: Peculiarities of seismic vulnerability estimations. In: Natural Hazards in Russia, volume 6: Natural Risks Assessment and Management, Publishing House "Kruk", Moscow, 120-131, 2003. 2. Frolova, N., Larionov, V., Bonnin, J.: Data Bases Used In Worlwide Systems For Earthquake Loss Estimation In Emergency Mode: Wenchuan Earthquake. In Proc. TIEMS2010 Conference, Beijing, China, 2010. 3. Frolova N. I., Larionov V. I., Bonnin J., Sushchev S. P., Ugarov A. N., Kozlov M. A. Loss Caused by Earthquakes: Rapid Estimates. Natural Hazards Journal of the International Society for the Prevention and Mitigation of Natural Hazards, vol.84, ISSN 0921-030, Nat Hazards DOI 10.1007/s11069-016-2653

  16. SCC behaviour of nickel based alloys in the nuclear industry

    International Nuclear Information System (INIS)

    Gras, J.M.

    1993-08-01

    SCC of nickel-based alloys (alloys 600, X-750, 182, 82...) is of great concern to the nuclear power industry. Misjugement on the susceptibility of the alloys to SCC and underestimation of the actual stress level caused a world-wide economical problem for the nuclear reactors. An up-to-date review of the phenomenon is presented on the basis of literature data, with an emphasis on the influence of mechanical, microstructural and chemical parameters on alloy 600 SCC in PWR's environments. The effect of stress and strain rate on crack initiation and propagation is also considered. Further to this survey, the contribution of mechanisms likely to be involved (slip dissolution model, hydrogen-induced-cracking, corrosion-deformation interactions) is examined. Better knowledge of the effect of parameters, such as temperature, stress and the alloy structure, makes it possible to predict fairly well the initiation and propagation time of the cracks and to evaluate the remedial actions to be taken. (author). 41 refs., 8 figs

  17. Flexible coordinate measurement system based on robot for industries

    Science.gov (United States)

    Guo, Yin; Yang, Xue-you; Liu, Chang-jie; Ye, Sheng-hua

    2010-10-01

    The flexible coordinate measurement system based on robot which is applicable to multi-model vehicle is designed to meet the needs of online measurement for current mainstream mixed body-in-white(BIW) production line. The moderate precision, good flexibility and no blind angle are the benefits of this measurement system. According to the measurement system, a monocular structured light vision sensor has been designed, which can measure not only edges, but also planes, apertures and other features. And a effective way to fast on-site calibration of the whole system using the laser tracker has also been proposed, which achieves the unity of various coordinate systems in industrial fields. The experimental results show satisfactory precision of +/-0.30mm of this measurement system, which is sufficient for the needs of online measurement for body-in-white(BIW) in the auto production line. The system achieves real-time detection and monitoring of the whole process of the car body's manufacture, and provides a complete data support in purpose of overcoming the manufacturing error immediately and accurately and improving the manufacturing precision.

  18. Static micromixers based on large-scale industrial mixer geometry.

    Science.gov (United States)

    Bertsch, A; Heimgartner, S; Cousseau, P; Renaud, P

    2001-09-01

    Mixing liquids at the micro-scale is difficult because the low Reynolds numbers in microchannels and in microreactors prohibit the use of conventional mixing techniques based on mechanical actuators and induce turbulence. Static mixers can be used to solve this mixing problem. This paper presents micromixers with geometries very close to conventional large-scale static mixers used in the chemical and food-processing industry. Two kinds of geometries have been studied. The first type is composed of a series of stationary rigid elements that form intersecting channels to split, rearrange and combine component streams. The second type is composed of a series of short helix elements arranged in pairs, each pair comprised of a right-handed and left-handed element arranged alternately in a pipe. Micromixers of both types have been designed by CAD and manufactured with the integral microstereolithography process, a new microfabrication technique that allows the manufacturing of complex three-dimensional objects in polymers. The realized mixers have been tested experimentally. Numerical simulations of these micromixers using the computational fluid dynamics (CFD) program FLUENT are used to evaluate the mixing efficiency. With a low pressure drop and good mixing efficiency these truly three-dimensional micromixers can be used for mixing of reactants or liquids containing cells in many microTAS applications.

  19. Energy survey of the coal based sponge iron industry

    Directory of Open Access Journals (Sweden)

    Nishant R. Dey

    2015-09-01

    Full Text Available A survey is made on a typical coal based Indian sponge iron plant of capacity 500 t/d in order to identify the largest energy losses and find ways to increase the efficiency. The required data are obtained by measurements or taken from production industries. The process efficiency is about 51.31%. The energy balances of the process show that the gap between theoretical and actual energy consumption is 45.2% and the exhausts make up the largest loss of 43.5%. A huge amount of waste gas is generated during operation and substantial part of it associated with the waste gas, remains unutilized. The energy content in the exhaust gases which is found at useful temperature can be used in three different ways: by internal use; by external energy supply; or by power generation. The four possible potential areas are identified where energy is being lost and untapped. The largest improvements would be made by design modifications adopting a novel energy conservation scenario by process integration and thereby decreasing the coal and water consumption and by decreasing the cold fresh air.

  20. Industrial Personal Computer based Display for Nuclear Safety System

    International Nuclear Information System (INIS)

    Kim, Ji Hyeon; Kim, Aram; Jo, Jung Hee; Kim, Ki Beom; Cheon, Sung Hyun; Cho, Joo Hyun; Sohn, Se Do; Baek, Seung Min

    2014-01-01

    The safety display of nuclear system has been classified as important to safety (SIL:Safety Integrity Level 3). These days the regulatory agencies are imposing more strict safety requirements for digital safety display system. To satisfy these requirements, it is necessary to develop a safety-critical (SIL 4) grade safety display system. This paper proposes industrial personal computer based safety display system with safety grade operating system and safety grade display methods. The description consists of three parts, the background, the safety requirements and the proposed safety display system design. The hardware platform is designed using commercially available off-the-shelf processor board with back plane bus. The operating system is customized for nuclear safety display application. The display unit is designed adopting two improvement features, i.e., one is to provide two separate processors for main computer and display device using serial communication, and the other is to use Digital Visual Interface between main computer and display device. In this case the main computer uses minimized graphic functions for safety display. The display design is at the conceptual phase, and there are several open areas to be concreted for a solid system. The main purpose of this paper is to describe and suggest a methodology to develop a safety-critical display system and the descriptions are focused on the safety requirement point of view

  1. Efficacy of melody-based aphasia therapy may strongly depend on rhythm and conversational speech formulas

    OpenAIRE

    Benjamin Stahl

    2014-01-01

    Left-hemisphere stroke patients suffering from language and speech disorders are often able to sing entire pieces of text fluently. This finding has inspired a number of melody-based rehabilitation programs – most notable among them a treatment known as Melodic Intonation Therapy – as well as two fundamental research questions. When the experimental design focuses on one point in time (cross section), one may determine whether or not singing has an immediate effect on syllable production in p...

  2. Industrial Economics in Scandinavia

    DEFF Research Database (Denmark)

    Foss, Nicolai Juul; Møllgaard, Peter

    2004-01-01

    Based on diverse research methods, we trace and map industrial economics research in Denmark, Norway and Sweden in the periode of 1880 to 1908. After describing this research in terms of key contributors, we argue that industrial economics developed rather unevenly in the Scandinavian countries....... Danish research was mainly theoretical and strongly oriented towards the international context, whereas Norwegian research was largely industry analysis with a strong leaning towards managerial economics. Swedish research in industrial economics is very scant until the end of the 1960s.JEL Code: B1, B2...

  3. Neighborhood deprivation is strongly associated with participation in a population-based health check.

    Directory of Open Access Journals (Sweden)

    Anne Mette Bender

    Full Text Available We sought to examine whether neighborhood deprivation is associated with participation in a large population-based health check. Such analyses will help answer the question whether health checks, which are designed to meet the needs of residents in deprived neighborhoods, may increase participation and prove to be more effective in preventing disease. In Europe, no study has previously looked at the association between neighborhood deprivation and participation in a population-based health check.The study population comprised 12,768 persons invited for a health check including screening for ischemic heart disease and lifestyle counseling. The study population was randomly drawn from a population of 179,097 persons living in 73 neighborhoods in Denmark. Data on neighborhood deprivation (percentage with basic education, with low income and not in work and individual socioeconomic position were retrieved from national administrative registers. Multilevel regression analyses with log links and binary distributions were conducted to obtain relative risks, intraclass correlation coefficients and proportional change in variance.Large differences between neighborhoods existed in both deprivation levels and neighborhood health check participation rate (mean 53%; range 35-84%. In multilevel analyses adjusted for age and sex, higher levels of all three indicators of neighborhood deprivation and a deprivation score were associated with lower participation in a dose-response fashion. Persons living in the most deprived neighborhoods had up to 37% decreased probability of participating compared to those living in the least deprived neighborhoods. Inclusion of individual socioeconomic position in the model attenuated the neighborhood deprivation coefficients, but all except for income deprivation remained statistically significant.Neighborhood deprivation was associated with participation in a population-based health check in a dose-response manner, in which

  4. Nationwide Registry-Based Analysis of Cancer Clustering Detects Strong Familial Occurrence of Kaposi Sarcoma

    Science.gov (United States)

    Vahteristo, Pia; Patama, Toni; Li, Yilong; Saarinen, Silva; Kilpivaara, Outi; Pitkänen, Esa; Knekt, Paul; Laaksonen, Maarit; Artama, Miia; Lehtonen, Rainer; Aaltonen, Lauri A.; Pukkala, Eero

    2013-01-01

    Many cancer predisposition syndromes are rare or have incomplete penetrance, and traditional epidemiological tools are not well suited for their detection. Here we have used an approach that employs the entire population based data in the Finnish Cancer Registry (FCR) for analyzing familial aggregation of all types of cancer, in order to find evidence for previously unrecognized cancer susceptibility conditions. We performed a systematic clustering of 878,593 patients in FCR based on family name at birth, municipality of birth, and tumor type, diagnosed between years 1952 and 2011. We also estimated the familial occurrence of the tumor types using cluster score that reflects the proportion of patients belonging to the most significant clusters compared to all patients in Finland. The clustering effort identified 25,910 birth name-municipality based clusters representing 183 different tumor types characterized by topography and morphology. We produced information about familial occurrence of hundreds of tumor types, and many of the tumor types with high cluster score represented known cancer syndromes. Unexpectedly, Kaposi sarcoma (KS) also produced a very high score (cluster score 1.91, p-value <0.0001). We verified from population records that many of the KS patients forming the clusters were indeed close relatives, and identified one family with five affected individuals in two generations and several families with two first degree relatives. Our approach is unique in enabling systematic examination of a national epidemiological database to derive evidence of aberrant familial aggregation of all tumor types, both common and rare. It allowed effortless identification of families displaying features of both known as well as potentially novel cancer predisposition conditions, including striking familial aggregation of KS. Further work with high-throughput methods should elucidate the molecular basis of the potentially novel predisposition conditions found in this

  5. The art and science of risk management: a US research-based industry perspective.

    Science.gov (United States)

    Bush, Janice K; Dai, Wanju S; Dieck, Gretchen S; Hostelley, Linda S; Hassall, Thomas

    2005-01-01

    The research-based pharmaceutical industry in the US strongly supports the concepts of risk management and sees formal risk management as playing a major role in the development of safe medicines for the public, as well as providing a mechanism to ensure that decisions concerning individual drug benefit and risk are made based on scientific evidence. Safe medicines refer to those drugs whose benefits have been found to outweigh their risks when they are used according to the approved labelling. Risk management is the comprehensive and proactive application of scientifically based methodologies to identify, assess, communicate and minimise risk throughout the life cycle of a drug so as to establish and maintain a favourable benefit-risk balance in patients. Although there are certainly a number of global risk management initiatives in place or being undertaken, harmonisation has yet to be achieved. Industry is faced with a variety of different risk management approaches and tools. There is a need to move the focus of risk management from the post-approval arena to earlier in the development process and tools need to be developed to support risk management throughout the lifecycle of a drug. The focus in the US on risk minimalisation strategies will also be an area for methodological development. A key factor in the success of overall risk management is the dialogue between industry and regulators throughout the development, review and marketing of the product. It is through such dialogue that appropriate, efficient and effective risk management strategies will be developed and implemented and the best decisions regarding the safe use of pharmaceutical products will be made.

  6. Probabilistic seismic assessment of base-isolated NPPs subjected to strong ground motions of Tohoku earthquake

    Energy Technology Data Exchange (ETDEWEB)

    Ali, Ahmer; Hayah, Nadin Abu; Kim, Doo Kie [Dept. of Civil and Environmental Engineering, Kunsan National University, Kunsan (Korea, Republic of); Cho, Sung Gook [R and D Center, JACE KOREA Company, Gyeonggido (Korea, Republic of)

    2014-10-15

    The probabilistic seismic performance of a standard Korean nuclear power plant (NPP) with an idealized isolation is investigated in the present work. A probabilistic seismic hazard analysis (PSHA) of the Wolsong site on the Korean peninsula is performed by considering peak ground acceleration (PGA) as an earthquake intensity measure. A procedure is reported on the categorization and selection of two sets of ground motions of the Tohoku earthquake, i.e. long-period and common as Set A and Set B respectively, for the nonlinear time history response analysis of the base-isolated NPP. Limit state values as multiples of the displacement responses of the NPP base isolation are considered for the fragility estimation. The seismic risk of the NPP is further assessed by incorporation of the rate of frequency exceedance and conditional failure probability curves. Furthermore, this framework attempts to show the unacceptable performance of the isolated NPP in terms of the probabilistic distribution and annual probability of limit states. The comparative results for long and common ground motions are discussed to contribute to the future safety of nuclear facilities against drastic events like Tohoku.

  7. Competing orders in strongly correlated systems. Dirac materials and iron-based superconductors

    Energy Technology Data Exchange (ETDEWEB)

    Classen, Laura

    2016-11-04

    In this work we address the collective phenomena appearing in interacting fermion systems due to the competition of distinct orders at the example of Dirac materials and iron-based superconductors. On the one hand we determine leading ordering tendencies in an unbiased way, when Fermi liquid instabilities are expected simultaneously in the particle-particle and particle-hole channel. In this context we analyze the impact of electron-phonon interactions on the many-body instabilities of electrons on the honeycomb lattice. Furthermore we investigate the interplay between superconductivity, magnetism and orbital order in five-pocket iron-based superconductors including the full orbital composition of low-energy excitations. On the other hand we study how the close proximity of different phases affects the structure of the phase diagram and the nature of transitions, as well as the corresponding quantum multicritical behavior. To this end we consider the semimetal-insulator transitions to an antiferromagnetic and a staggered-density state of low-energy Dirac fermions. To account for the decisive role of interactions and the various degrees of freedom in these models, modern renormalization group techniques are applied.

  8. PROBABILISTIC SEISMIC ASSESSMENT OF BASE-ISOLATED NPPS SUBJECTED TO STRONG GROUND MOTIONS OF TOHOKU EARTHQUAKE

    Directory of Open Access Journals (Sweden)

    AHMER ALI

    2014-10-01

    Full Text Available The probabilistic seismic performance of a standard Korean nuclear power plant (NPP with an idealized isolation is investigated in the present work. A probabilistic seismic hazard analysis (PSHA of the Wolsong site on the Korean peninsula is performed by considering peak ground acceleration (PGA as an earthquake intensity measure. A procedure is reported on the categorization and selection of two sets of ground motions of the Tohoku earthquake, i.e. long-period and common as Set A and Set B respectively, for the nonlinear time history response analysis of the base-isolated NPP. Limit state values as multiples of the displacement responses of the NPP base isolation are considered for the fragility estimation. The seismic risk of the NPP is further assessed by incorporation of the rate of frequency exceedance and conditional failure probability curves. Furthermore, this framework attempts to show the unacceptable performance of the isolated NPP in terms of the probabilistic distribution and annual probability of limit states. The comparative results for long and common ground motions are discussed to contribute to the future safety of nuclear facilities against drastic events like Tohoku.

  9. Neighborhood deprivation is strongly associated with participation in a population-based health check

    DEFF Research Database (Denmark)

    Bender, Anne Mette; Kawachi, Ichiro; Jørgensen, Torben

    2015-01-01

    BACKGROUND: We sought to examine whether neighborhood deprivation is associated with participation in a large population-based health check. Such analyses will help answer the question whether health checks, which are designed to meet the needs of residents in deprived neighborhoods, may increase...... screening for ischemic heart disease and lifestyle counseling. The study population was randomly drawn from a population of 179,097 persons living in 73 neighborhoods in Denmark. Data on neighborhood deprivation (percentage with basic education, with low income and not in work) and individual socioeconomic...... in both deprivation levels and neighborhood health check participation rate (mean 53%; range 35-84%). In multilevel analyses adjusted for age and sex, higher levels of all three indicators of neighborhood deprivation and a deprivation score were associated with lower participation in a dose...

  10. Model-Based Water Wall Fault Detection and Diagnosis of FBC Boiler Using Strong Tracking Filter

    Directory of Open Access Journals (Sweden)

    Li Sun

    2014-01-01

    Full Text Available Fluidized bed combustion (FBC boilers have received increasing attention in recent decades. The erosion issue on the water wall is one of the most common and serious faults for FBC boilers. Unlike direct measurement of tube thickness used by ultrasonic methods, the wastage of water wall is reconsidered equally as the variation of the overall heat transfer coefficient in the furnace. In this paper, a model-based approach is presented to estimate internal states and heat transfer coefficient dually from the noisy measurable outputs. The estimated parameter is compared with the normal value. Then the modified Bayesian algorithm is adopted for fault detection and diagnosis (FDD. The simulation results demonstrate that the approach is feasible and effective.

  11. 2D mapping of strongly deformed cell nuclei based on contour warping.

    Science.gov (United States)

    De Vylder, Jonas; Douterloigne, Koen; De Vos, Winnok; Philips, Wilfried

    2010-01-01

    The dynamics of genome regions are associated to the functional or dysfunctional behaviour of the human cell. In order to study these dynamics it is necessary to remove perturbations coming from movement and deformation of the nucleus, i.e. the container holding the genome. In literature models have been proposed to cope with the transformations corresponding to nuclear dynamics of healthy cells. However for pathological cells, the nucleus deforms in an apparently random way, making the use of such models a non trivial task. In this paper we propose a mapping of the cell nucleus which is based on the matching of the nuclear contours. The proposed method does not put constraints on the possible shapes nor on the possible deformations, making this method suited for the analysis of pathological nuclei.

  12. High-linearity piezoresistive response of mechanically strong graphene-based elastomer

    Science.gov (United States)

    Yuanzheng, Luo; Buyin, Li; Xiaoqi

    2017-05-01

    Traditional additive-free graphene bulk materials based on mono- three dimensional(3D) graphene networks type are fragile in most cases, which is unfavorable for their potential applications. Here we present compressible graphene foams (CGF) with superior properties endowed by the hierarchical porous structure, which taking graphene sheets as an inorganic embedding material and polyurethane sponge (PUS) as a polymer open-framework. The preparation process utilized a dip-coating method associated with directional freezing followed by lyophilization. The as-synthesized CGF not only possess a combination of ultralow density and excellent electrical conductivity, but it also can withstand large strains (>99%) without permanent deformation or fracture. We believe that these sponge/graphene embeddable multifunctional nanocomposites will expand practical applications of graphene monolith in the future.

  13. On Cyber Attacks and Signature Based Intrusion Detection for MODBUS Based Industrial Control Systems

    Directory of Open Access Journals (Sweden)

    Wei Gao

    2014-03-01

    Full Text Available Industrial control system communication networks are vulnerable to reconnaissance, response injection, command injection, and denial of service attacks.  Such attacks can lead to an inability to monitor and control industrial control systems and can ultimately lead to system failure. This can result in financial loss for control system operators and economic and safety issues for the citizens who use these services.  This paper describes a set of 28 cyber attacks against industrial control systems which use the MODBUS application layer network protocol. The paper also describes a set of standalone and state based intrusion detection system rules which can be used to detect cyber attacks and to store evidence of attacks for post incident analysis. All attacks described in this paper were validated in a laboratory environment. The detection rate of the intrusion detection system rules presented by attack class is also presented.

  14. Strategy Iteration Is Strongly Polynomial for 2-Player Turn-Based Stochastic Games with a Constant Discount Factor

    DEFF Research Database (Denmark)

    Hansen, Thomas Dueholm; Miltersen, Peter Bro; Zwick, Uri

    2013-01-01

    -based stochastic games with discounted zero-sum rewards. This provides the first strongly polynomial algorithm for solving these games, solving a long standing open problem. Combined with other recent results, this provides a complete characterization of the complexity the standard strategy iteration algorithm...... terminates after at most O(m1−γ log n1−γ) iterations. Second, and more importantly, we show that the same bound applies to the number of iterations performed by the strategy iteration (or strategy improvement) algorithm, a generalization of Howard’s policy iteration algorithm used for solving 2-player turn...... for 2-player turn-based stochastic games; it is strongly polynomial for a fixed discount factor, and exponential otherwise....

  15. The Emotional Base of America's Military-Industrial Complex

    National Research Council Canada - National Science Library

    Wickman, Stephen B

    2003-01-01

    .... Greider asks if we should continue to subsidize what Eisenhower dubbed the "military-industrial complex," while Der Derian wonders if our relentless pursuit for high-speed and "virtual" battlefield...

  16. Life Cycle Based Environmental Approach in the Industry

    DEFF Research Database (Denmark)

    Jørgensen, Tine Herreborg; Thrane, Mikkel

    2002-01-01

    This paper discusses the need for industries to extend the focus from environmental impacts in their own production, towards considerations of impacts and improvement potentials in the whole product chain....

  17. Efficacy of melody-based aphasia therapy may strongly depend on rhythm and conversational speech formulas

    Directory of Open Access Journals (Sweden)

    Benjamin Stahl

    2014-04-01

    Full Text Available Left-hemisphere stroke patients suffering from language and speech disorders are often able to sing entire pieces of text fluently. This finding has inspired a number of melody-based rehabilitation programs – most notable among them a treatment known as Melodic Intonation Therapy – as well as two fundamental research questions. When the experimental design focuses on one point in time (cross section, one may determine whether or not singing has an immediate effect on syllable production in patients with language and speech disorders. When the design focuses on changes over several points in time (longitudinal section, one may gain insight as to whether or not singing has a long-term effect on language and speech recovery. The current work addresses both of these questions with two separate experiments that investigate the interplay of melody, rhythm and lyric type in 32 patients with non-fluent aphasia and apraxia of speech (Stahl et al., 2011; Stahl et al., 2013. Taken together, the experiments deliver three main results. First, singing and rhythmic pacing proved to be equally effective in facilitating immediate syllable production and long-term language and speech recovery. Controlling for various influences such as prosody, syllable duration and phonetic complexity, the data did not reveal any advantage of singing over rhythmic speech. This result was independent of lesion size and lesion location in the patients. Second, patients with extensive left-sided basal ganglia lesions produced more correct syllables when their speech was paced by rhythmic drumbeats. This observation is consistent with the idea that regular auditory cues may partially compensate for corticostriatal damage and thereby improve speech-motor planning (Grahn & Watson, 2013. Third, conversational speech formulas and well-known song lyrics yielded higher rates of correct syllable production than novel word sequences – whether patients were singing or speaking

  18. Strategy iteration is strongly polynomial for 2-player turn-based stochastic games with a constant discount factor

    DEFF Research Database (Denmark)

    Hansen, Thomas Dueholm; Miltersen, Peter Bro; Zwick, Uri

    2011-01-01

    iterations. Second, and more importantly, we show that the same bound applies to the number of iterations performed by the strategy iteration (or strategy improvement) algorithm, a generalization of Howard's policy iteration algorithm used for solving 2-player turn-based stochastic games with discounted zero......-sum rewards. This provides the first strongly polynomial algorithm for solving these games, resolving a long standing open problem....

  19. Strong Authentication Protocol based on Java Crypto Chip as a Secure Element

    Directory of Open Access Journals (Sweden)

    Majid Mumtaz

    2016-10-01

    Full Text Available Smart electronic devices and gadgets and their applications are becoming more and more popular. Most of those devices and their applications handle personal, financial, medical and other sensitive data that require security and privacy protection. In this paper we describe one aspect of such protection – user authentication protocol based on the use of X.509 certificates. The system uses Public Key Infrastructure (PKI, challenge/response protocol, mobile proxy servers, and Java cards with crypto capabilities used as a Secure Element. Innovative design of the protocol, its implementation, and evaluation results are described. In addition to end-user authentication, the described solution also supports the use of X.509 certificates for additional security services – confidentiality, integrity, and non-repudiation of transactions and data in an open network environment. The system uses Application Programming Interfaces (APIs to access Java cards functions and credentials that can be used as add-ons to enhance any mobile application with security features and services.

  20. Clustering and firm performance in project-based industries: the case of the global video game industry, 1972-2007

    NARCIS (Netherlands)

    Vaan, M. de; Boschma, R.; Frenken, K.

    2013-01-01

    Explanations of spatial clustering based on localization externalities are being questioned by recent empirical evidence showing that firms in clusters do not outperform firms outside clusters. We propose that these findings may be driven by the particularities of the industrial settings chosen

  1. Severity of rhinitis and wheezing is strongly associated in preschoolers: A population-based study.

    Science.gov (United States)

    Pereira, Ana Margarida; Morais-Almeida, Mário; Santos, Natacha; Nunes, Carlos; Bousquet, Jean; Fonseca, João Almeida

    2015-11-01

    In preschool children, no study assessed the relation between wheezing and rhinitis severity. Our aims were to estimate the prevalence of current wheezing (CW) in preschoolers and to study the association between CW and current rhinitis (CR), considering its severity/persistency. This is a cross-sectional, nationwide, population-based study including a representative sample of 5003 Portuguese children aged 3-5 years. Data were collected by a face-to-face interview with caregivers using an adapted ISAAC questionnaire. CW was defined as presence of ≥1 wheezing episode in the previous 12 months. Rhinitis severity/persistency was classified according to Allergic Rhinitis and its Impact on Asthma. Current wheezing prevalence was 24.5% [95% CI 23.3-25.7]; 9.4% of the participants had ≥4 wheezing episodes in the previous year. Children with CR had an odds ratio (OR) of 4.0 [95% CI 3.4-4.5] for CW; it was highest for children with moderate-severe persistent rhinitis (11.5 [95% CI 8.1-16.3]), even after adjusting for possible confounders. Wheezers with CR reported more wheezing treatment use (p = 0.024) than those without CR. There was a trend for a higher number of wheezing episodes with more persistent and severe nasal disease - 48.4% of children with moderate-severe persistent rhinitis had >4 wheezing episodes vs. 28.9% in moderate-severe intermittent, 20.0% in mild persistent, 10.8% in mild intermittent, and 3.6% in those without CR; p rhinitis, especially moderate-severe persistent disease. Preschoolers with both CW and rhinitis seem to have a more severe phenotype, emphasizing the need for concurrent evaluation of nasal and bronchial symptoms even in small children. © 2015 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

  2. Proposal of an agent-based analytical model to convert industrial areas in industrial eco-systems.

    Science.gov (United States)

    Romero, Elena; Ruiz, M Carmen

    2014-01-15

    The transformation of industrial areas towards greater sustainability results from a strategic objective to address the effects of economic and environmental crisis. Such transformation, however, requires methodologies and tools that support and facilitate the process. This paper proposes an analytical model that favours the redesign of industrial areas based on sustainable strategies for eco-industrial parks. The proposed model is enhanced by the definition of building blocks of an agent-based modelling method. The methodology that was followed favours the detailed description of the objectives of the system, with individual elements and adaptation to the surrounding environment, amongst other features. The proposed model integrates a knowledge database that supports the process of identification of cooperative strategies such as material exchange networks in industrial areas. The underlying theory for the assessment of cooperative interactions is game theory, which supports the resolution of problems with strategic choices. This work covers the stage of analytical model formulation that is essential for advancement towards the inference process based on simulation models. © 2013.

  3. THE ROMANIAN HOTEL INDUSTRY. AN ANALYSIS BASED ON REAL FACTS

    Directory of Open Access Journals (Sweden)

    Maria Luminiţa COJOCEA

    2013-12-01

    Full Text Available Romanian Tourism has undergone considerable changes in the transition to the market economy. These changes, together with inappropriate solutions adopted by the authorities, led to a mismatch between what the Ministry of Tourism (MT/ National Authority for Tourism (NAT communicates and promotes, and the actual situation of the Romanian tourism and hotel industry. This situation has also been maintained by poor and erroneous reporting of information by hoteliers about the hotels managed to Ministry of Tourism, but also by the poor processing of information received by the MT/ NAT, leading to a database of erroneous information. These data are practically useless for any interested parties, and moreover for those who intend to use them especially for opening a new business in hospitality industry. This paper aims to present a much closer to reality statistical summary of the hotel industry.

  4. Theory of titration curves-VII The properties of derivative titration curves for strong acid-strong base and other isovalent ion-combination titrations.

    Science.gov (United States)

    Meites, T; Meites, L

    1970-06-01

    This paper deals with isovalent ion-combination titrations based on reactions that can be represented by the equation M(n+) + X(n-) --> MX, where the activity of the product MX is invariant throughout a titration, and with the derivative titration curves obtained by plotting d[M(+)]/dfversus f for such titrations. It describes some of the ways in which such curves can be obtained; it compares and contrasts them both with potentiometric titration curves, which resemble them in shape, and with segmented titration curves, from which they are derived; and it discusses their properties in detail.

  5. Group Targets Tracking Using Multiple Models GGIW-CPHD Based on Best-Fitting Gaussian Approximation and Strong Tracking Filter

    Directory of Open Access Journals (Sweden)

    Yun Wang

    2016-01-01

    Full Text Available Gamma Gaussian inverse Wishart cardinalized probability hypothesis density (GGIW-CPHD algorithm was always used to track group targets in the presence of cluttered measurements and missing detections. A multiple models GGIW-CPHD algorithm based on best-fitting Gaussian approximation method (BFG and strong tracking filter (STF is proposed aiming at the defect that the tracking error of GGIW-CPHD algorithm will increase when the group targets are maneuvering. The best-fitting Gaussian approximation method is proposed to implement the fusion of multiple models using the strong tracking filter to correct the predicted covariance matrix of the GGIW component. The corresponding likelihood functions are deduced to update the probability of multiple tracking models. From the simulation results we can see that the proposed tracking algorithm MM-GGIW-CPHD can effectively deal with the combination/spawning of groups and the tracking error of group targets in the maneuvering stage is decreased.

  6. High-order approximate solutions of strongly nonlinear cubic-quintic Duffing oscillator based on the harmonic balance method

    Science.gov (United States)

    Chowdhury, M. S. H.; Hosen, Md. Alal; Ahmad, Kartini; Ali, M. Y.; Ismail, A. F.

    In this paper, a new reliable analytical technique has been introduced based on the Harmonic Balance Method (HBM) to determine higher-order approximate solutions of the strongly nonlinear cubic-quintic Duffing oscillator. The application of the HBM leads to very complicated sets of nonlinear algebraic equations. In this technique, the high-order nonlinear algebraic equations are approximated in the form of a power series solution, and this solution produces desired results even for small as well as large amplitudes of oscillation. Moreover, a suitable truncation formula is found in which the solution measures better results than existing results and it saves a lot of calculation. It is highly noteworthy that using the proposed technique, the third-order approximate solutions gives an excellent agreement as compared with the numerical solutions (considered to be exact). The proposed technique is applied to the strongly nonlinear cubic-quintic Duffing oscillator to reveals its novelty, reliability and wider applicability.

  7. Use of Synergistic Interactions to Fabricate Strong, Tough, and Conductive Artificial Nacre Based on Graphene Oxide and Chitosan.

    Science.gov (United States)

    Wan, Sijie; Peng, Jingsong; Li, Yuchen; Hu, Han; Jiang, Lei; Cheng, Qunfeng

    2015-10-27

    Graphene is the strongest and stiffest material, leading to the development of promising applications in many fields. However, the assembly of graphene nanosheets into macrosized nanocomposites for practical applications remains a challenge. Nacre in its natural form sets the "gold standard" for toughness and strength, which serves as a guide to the assembly of graphene nanosheets into high-performance nanocomposites. Here we show the strong, tough, conductive artificial nacre based on graphene oxide through synergistic interactions of hydrogen and covalent bonding. Tensile strength and toughness was 4 and 10 times higher, respectively, than that of natural nacre. The exceptional integrated strong and tough artificial nacre has promising applications in aerospace, artificial muscle, and tissue engineering, especially for flexible supercapacitor electrodes due to its high electrical conductivity. The use of synergistic interactions is a strategy for the development of high-performance nanocomposites.

  8. Control of Industrial Safety Based on Dynamic Characteristics of a Safety Budget-Industrial Accident Rate Model in Republic of Korea.

    Science.gov (United States)

    Choi, Gi Heung; Loh, Byoung Gook

    2017-06-01

    Despite the recent efforts to prevent industrial accidents in the Republic of Korea, the industrial accident rate has not improved much. Industrial safety policies and safety management are also known to be inefficient. This study focused on dynamic characteristics of industrial safety systems and their effects on safety performance in the Republic of Korea. Such dynamic characteristics are particularly important for restructuring of the industrial safety system. The effects of damping and elastic characteristics of the industrial safety system model on safety performance were examined and feedback control performance was explained in view of cost and benefit. The implications on safety policies of restructuring the industrial safety system were also explored. A strong correlation between the safety budget and the industrial accident rate enabled modeling of an industrial safety system with these variables as the input and the output, respectively. A more effective and efficient industrial safety system could be realized by having weaker elastic characteristics and stronger damping characteristics in it. A substantial decrease in total social cost is expected as the industrial safety system is restructured accordingly. A simple feedback control with proportional-integral action is effective in prevention of industrial accidents. Securing a lower level of elastic industrial accident-driving energy appears to have dominant effects on the control performance compared with the damping effort to dissipate such energy. More attention needs to be directed towards physical and social feedbacks that have prolonged cumulative effects. Suggestions for further improvement of the safety system including physical and social feedbacks are also made.

  9. Factor-Based v. Industry-Based Asset Allocation: The Contest

    OpenAIRE

    Marie Briere; Ariane Szafarz

    2015-01-01

    Factor investing has emerged as the new paradigm for long-term investment. Applied to equities, factor investing is probably the most serious contender to the classical industry-based approach to asset allocation. By organizing a multi-trial contest opposing factor investing and sector investing, we address two questions: 1) Are the excess returns of factor investing offset by higher risks, and if so, are factor-specific risks eliminable by means of factor diversification? 2) How does factor ...

  10. Ultra-thin and strong formvar-based membranes with controlled porosity for micro- and nano-scale systems

    Science.gov (United States)

    Auchter, Eric; Marquez, Justin; Stevens, Garrison; Silva, Rebecca; Mcculloch, Quinn; Guengerich, Quintessa; Blair, Andrew; Litchfield, Sebastian; Li, Nan; Sheehan, Chris; Chamberlin, Rebecca; Yarbro, Stephen L.; Dervishi, Enkeleda

    2018-05-01

    We present a methodology for developing ultra-thin and strong formvar-based membranes with controlled morphologies. Formvar is a thin hydrophilic and oleophilic polymer inert to most chemicals and resistant to radiation. The formvar-based membranes are viable materials as support structures in micro- and macro-scale systems depending on thinness and porosity control. Tunable sub-micron thick porous membranes with 20%–65% porosity were synthesized by controlling the ratios of formvar, glycerol, and chloroform. This synthesis process does not require complex separation or handling methods and allows for the production of strong, thin, and porous formvar-based membranes. An expansive array of these membrane characterizations including chemical compatibility, mechanical responses, wettability, as well as the mathematical simulations as a function of porosity has been presented. The wide range of chemical compatibility allows for membrane applications in various environments, where other polymers would not be suitable. Our formvar-based membranes were found to have an elastic modulus of 7.8 GPa, a surface free energy of 50 mN m‑1 and an average thickness of 125 nm. Stochastic model simulations indicate that formvar with the porosity of ∼50% is the optimal membrane formulation, allowing the most material transfer across the membrane while also withstanding the highest simulated pressure loadings before tearing. Development of novel, resilient and versatile membranes with controlled porosity offers a wide range of exciting applications in the fields of nanoscience, microfluidics, and MEMS.

  11. Estimating unmeasured anions in critically ill patients: anion-gap, base-deficit, and strong-ion-gap.

    Science.gov (United States)

    Story, D A; Poustie, S; Bellomo, R

    2002-11-01

    We used 100 routine blood samples from critically ill patients to establish whether correcting the anion-gap and base-deficit for decreased plasma albumin improves agreement with the strong-ion-gap for estimating unmeasured anions and whether the modifications increase the proportion of samples with levels of anion-gap or base-deficit above the reference ranges. We used Bland-Altman analyses to compare the methods of estimating unmeasured ions. Compared with the strong-ion-gap, modification reduced the limits of agreement for both the anion-gap and the base-deficit. The bias for the base-deficit was also reduced but the bias for the anion-gap was increased. The proportion of samples with an anion-gap > 22 meq.l(-1) increased from 4 to 29% (p 5 meq.l(-1) increased from 8 to 42% (p < 0.001). Consequently, metabolic acidosis from unmeasured ions in critically ill patients maybe more frequent than often recognised.

  12. Unraveling microbial ecology of industrial-scale Kombucha fermentations by metabarcoding and culture-based methods.

    Science.gov (United States)

    Coton, Monika; Pawtowski, Audrey; Taminiau, Bernard; Burgaud, Gaëtan; Deniel, Franck; Coulloumme-Labarthe, Laurent; Fall, Abdoulaye; Daube, Georges; Coton, Emmanuel

    2017-05-01

    Kombucha, historically an Asian tea-based fermented drink, has recently become trendy in Western countries. Producers claim it bears health-enhancing properties that may come from the tea or metabolites produced by its microbiome. Despite its long history of production, microbial richness and dynamics have not been fully unraveled, especially at an industrial scale. Moreover, the impact of tea type (green or black) on microbial ecology was not studied. Here, we compared microbial communities from industrial-scale black and green tea fermentations, still traditionally carried out by a microbial biofilm, using culture-dependent and metabarcoding approaches. Dominant bacterial species belonged to Acetobacteraceae and to a lesser extent Lactobacteriaceae, while the main identified yeasts corresponded to Dekkera, Hanseniaspora and Zygosaccharomyces during all fermentations. Species richness decreased over the 8-day fermentation. Among acetic acid bacteria, Gluconacetobacter europaeus, Gluconobacter oxydans, G. saccharivorans and Acetobacter peroxydans emerged as dominant species. The main lactic acid bacteria, Oenococcus oeni, was strongly associated with green tea fermentations. Tea type did not influence yeast community, with Dekkera bruxellensis, D. anomala, Zygosaccharomyces bailii and Hanseniaspora valbyensis as most dominant. This study unraveled a distinctive core microbial community which is essential for fermentation control and could lead to Kombucha quality standardization. © FEMS 2017. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

  13. Melon husk-based activated carbon for treatment of industrial ...

    African Journals Online (AJOL)

    The adsorption of organic contaminants from industrial effluent using melon husk activated carbon has been investigated. Melon husk was carbonized at 450oC for 20 minutes and activated with sulphuric acid to produce granular activated carbon (AC). The fixed carbon increased with increase in concentration of activating ...

  14. WASTEWATER MANAGEMENT IN MOLASSES BASED DISTILLERY INDUSTRY: A REVIEW

    OpenAIRE

    MR. DIGVIJAY B. DHAVALE,; MR. S. M. BHOSALE

    2017-01-01

    The present study reviews recent research works of waste water management techniques in distillery industry across India. The paper not only discusses need of waste water management but also existing methods of doing it. Paper also provides an insight for future reference application of the same

  15. A strong comeback

    International Nuclear Information System (INIS)

    Marier, D.

    1992-01-01

    This article presents the results of a financial rankings survey which show a strong economic activity in the independent energy industry. The topics of the article include advisor turnover, overseas banks, and the increase in public offerings. The article identifies the top project finance investors for new projects and restructurings and rankings for lenders

  16. Strong electroactive biodegradable shape memory polymer networks based on star-shaped polylactide and aniline trimer for bone tissue engineering.

    Science.gov (United States)

    Xie, Meihua; Wang, Ling; Ge, Juan; Guo, Baolin; Ma, Peter X

    2015-04-01

    Preparation of functional shape memory polymer (SMP) for tissue engineering remains a challenge. Here the synthesis of strong electroactive shape memory polymer (ESMP) networks based on star-shaped polylactide (PLA) and aniline trimer (AT) is reported. Six-armed PLAs with various chain lengths were chemically cross-linked to synthesize SMP. After addition of an electroactive AT segment into the SMP, ESMP was obtained. The polymers were characterized by (1)H NMR, GPC, FT-IR, CV, DSC, DMA, tensile test, and degradation test. The SMP and ESMP exhibited strong mechanical properties (modulus higher than GPa) and excellent shape memory performance: short recovery time (several seconds), high recovery ratio (over 94%), and high fixity ratio (almost 100%). Moreover, cyclic voltammetry test confirmed the electroactivity of the ESMP. The ESMP significantly enhanced the proliferation of C2C12 cells compared to SMP and linear PLA (control). In addition, the ESMP greatly improved the osteogenic differentiation of C2C12 myoblast cells compared to PH10 and PLA in terms of ALP enzyme activity, immunofluorescence staining, and relative gene expression by quantitative real-time polymerase chain reaction (qRT-PCR). These intelligent SMPs and electroactive SMP with strong mechanical properties, tunable degradability, good electroactivity, biocompatibility, and enhanced osteogenic differentiation of C2C12 cells show great potential for bone regeneration.

  17. FPGA-based network intrusion detection for IEC 61850-based industrial network

    Directory of Open Access Journals (Sweden)

    Junsik Kim

    2018-03-01

    Full Text Available This paper proposes an FPGA-based network intrusion detection system for the IEC 61850-based industrial network that is specially designed for substation automation. The proposed system uses the Shift-And algorithm for detecting malicious network packets within IEC 61850 messages. To implement a complex rule matching module with a limited memory size of FPGA, a specially designed rule matching module was proposed in this paper. For feasibility evaluation, a prototype with 265 regular expression matching modules was implemented using Xilinx Zynq-7030 FPGA and its performance is presented in this paper. Keywords: Network intrusion detection system (NIDS, IEC 61850, Regular expression, Substation automation, FPGA

  18. Preparing skilled labor in industry through production-based curriculum approach in vocational high school

    Science.gov (United States)

    Yoto

    2017-09-01

    Vocational high school (Sekolah Menengah Kejuruan / SMK) aims to prepare mid-level skilled labors to work in the industry and are able to create self-employment opportunities. For those reasons, the curriculum in SMK should be based on meeting the needs of the industries and is able to prepare learners to master the competence in accordance with the skills program of their choice. Production based curriculum is the curriculum which the learning process is designed together with the production process or using production process as a learning medium. This approach with the primary intention to introduce students with the real working environment and not merely simulations. In the production-based curriculum implementation model, students are directly involved in the industry through the implementation of industrial working practices, do work on production units in school, and do practical work in school by doing the job as done in the industry by using industry standards machines.

  19. CMU DeepLens: deep learning for automatic image-based galaxy-galaxy strong lens finding

    Science.gov (United States)

    Lanusse, François; Ma, Quanbin; Li, Nan; Collett, Thomas E.; Li, Chun-Liang; Ravanbakhsh, Siamak; Mandelbaum, Rachel; Póczos, Barnabás

    2018-01-01

    Galaxy-scale strong gravitational lensing can not only provide a valuable probe of the dark matter distribution of massive galaxies, but also provide valuable cosmological constraints, either by studying the population of strong lenses or by measuring time delays in lensed quasars. Due to the rarity of galaxy-scale strongly lensed systems, fast and reliable automated lens finding methods will be essential in the era of large surveys such as Large Synoptic Survey Telescope, Euclid and Wide-Field Infrared Survey Telescope. To tackle this challenge, we introduce CMU DeepLens, a new fully automated galaxy-galaxy lens finding method based on deep learning. This supervised machine learning approach does not require any tuning after the training step which only requires realistic image simulations of strongly lensed systems. We train and validate our model on a set of 20 000 LSST-like mock observations including a range of lensed systems of various sizes and signal-to-noise ratios (S/N). We find on our simulated data set that for a rejection rate of non-lenses of 99 per cent, a completeness of 90 per cent can be achieved for lenses with Einstein radii larger than 1.4 arcsec and S/N larger than 20 on individual g-band LSST exposures. Finally, we emphasize the importance of realistically complex simulations for training such machine learning methods by demonstrating that the performance of models of significantly different complexities cannot be distinguished on simpler simulations. We make our code publicly available at https://github.com/McWilliamsCenter/CMUDeepLens.

  20. A microbial polyhydroxyalkanoates (PHA) based bio- and materials industry.

    Science.gov (United States)

    Chen, Guo-Qiang

    2009-08-01

    Biopolyesters polyhydroxyalkanoates (PHA) produced by many bacteria have been investigated by microbiologists, molecular biologists, biochemists, chemical engineers, chemists, polymer experts and medical researchers. PHA applications as bioplastics, fine chemicals, implant biomaterials, medicines and biofuels have been developed and are covered in this critical review. Companies have been established or involved in PHA related R&D as well as large scale production. Recently, bacterial PHA synthesis has been found to be useful for improving robustness of industrial microorganisms and regulating bacterial metabolism, leading to yield improvement on some fermentation products. In addition, amphiphilic proteins related to PHA synthesis including PhaP, PhaZ or PhaC have been found to be useful for achieving protein purification and even specific drug targeting. It has become clear that PHA and its related technologies are forming an industrial value chain ranging from fermentation, materials, energy to medical fields (142 references).

  1. Application of Object-Based Industrial Controls for Cryogenics

    CERN Document Server

    Casas-Cubillos, J; Gomes, P; Pezzetti, M; Sicard, Claude Henri; Varas, F J

    2002-01-01

    The first application of the CERN Unified Industrial Control system (UNICOS) has been developed for the 1.8 K refrigerator at point 1.8 in mid-2001. This paper presents the engineering methods used for application development, in order to reach the objectives of maintainability and reusability, in the context of a development done by an external consortium of engineering firms. It will also review the lessons learned during this first development and the improvements planned for the next applications.

  2. Diff-based model synchronization in an industrial MDD process

    DEFF Research Database (Denmark)

    Kindler, Ekkart; Könemann, Patrick; Unland, Ludger

    of different models is maintained manually in many cases today. This paper presents an approach for automated model differencing, so that the differences between two model versions (called delta) can be extracted and stored. It can then be re-used independently of the models it was created from...... to interactively merge different model versions, and for synchronizing other types of models. The main concern was to apply our concepts to an industrial process, so usability and performance were important issues....

  3. Status of wood-based industries in Malaysia

    International Nuclear Information System (INIS)

    Dahlan Haji Mohd

    1987-01-01

    Malaysia is one of the biggest suppliers of tropical wood in the world. However, less than 10% of the timber exported have gone through secondary processing. It is high time for this country to concentrate more on the secondary and tertiary sectors with the use of new technology such as radiation curing of coatings, in order to improve the quality of wood products. This paper examines where the strength and potential of the local wood industry lie. (author)

  4. Aerogel-Based Insulation for High-Temperature Industrial Processes

    Energy Technology Data Exchange (ETDEWEB)

    Dr. Owen Evans

    2011-10-13

    Under this program, Aspen Aerogels has developed an industrial insulation called Pyrogel HT, which is 4-5 times more thermally efficient than current non-aerogel technology. Derived from nanoporous silica aerogels, Pyrogel HT was specifically developed to address a high temperature capability gap not currently met with Aspen Aerogels{trademark} flagship product, Pyrogel XT. Pyrogel XT, which was originally developed on a separate DOE contract (DE-FG36-06GO16056), was primarily optimized for use in industrial steam processing systems, where application temperatures typically do not exceed 400 C. At the time, further improvements in thermal performance above 400 C could not be reasonably achieved for Pyrogel XT without significantly affecting other key material properties using the current technology. Cumulative sales of Pyrogel HT into domestic power plants should reach $125MM through 2030, eventually reaching about 10% of the total insulation market share in that space. Global energy savings would be expected to scale similarly. Over the same period, these sales would reduce domestic energy consumption by more than 65 TBtu. Upon branching out into all industrial processes in the 400 C-650 C regime, Pyrogel HT would reach annual sales levels of $150MM, with two-thirds of that being exported.

  5. A laser-based solution to industrial decontamination problems

    Energy Technology Data Exchange (ETDEWEB)

    Edelson, M.C.; Pang, Ho-ming [Ames Lab., IA (United States); Ferguson, R.L. [Lockheed Idaho Technologies Co., Idaho Falls, ID (United States)

    1995-12-31

    The ability of lasers to deposit significant amounts of energy on surfaces located at large distances from the laser can be exploited to solve very difficult industrial problems. The Ames Laboratory has been working in partnership with Lockheed Martin Idaho Technologies (LMIT) to apply laser technologies to the decontamination of radioactively contaminated surfaces located in hostile environments. Many such applications exist within former USDOE and nuclear industry facilities. As opposed to laser coating removal systems, which are designed to ``strip`` relatively soft coatings from a substrate without damage to the substrate, the system being developed by Ames - LMIT is designed to remove contaminants that are embedded within the metal surface itself. The system generates irradiance levels sufficient to remove microns of metal from a surface and an off-gas system that prevents the redeposition of materials removed from the surface. Process control is assisted by monitoring the laser-generated plasma produced during laser surface ablation. Results achieved using this apparatus for various metal types will be presented along with a discussion of other potential industrial applications.

  6. How Does Environmental Regulation Affect Industrial Transformation? A Study Based on the Methodology of Policy Simulation

    Directory of Open Access Journals (Sweden)

    Wei Liu

    2016-01-01

    Full Text Available The difference of factor input structure determines different response to environmental regulation. This paper constructs a theoretical model including environmental regulation, factor input structure, and industrial transformation and conducts a policy simulation based on the difference of influencing mechanism of environmental regulation considering industrial heterogeneity. The findings show that the impact of environmental regulation on industrial transformation presents comparison of distortion effect of resource allocation and technology effect. Environmental regulation will promote industrial transformation when technology effect of environmental regulation is stronger than distortion effect of resource allocation. Particularly, command-control environmental regulation has a significant incentive effect and spillover effect of technological innovation on cleaning industries, but these effects do not exist in pollution-intensive industries. Command-control environmental regulation promotes industrial transformation. The result of simulation showed that environmental regulation of market incentives is similar to that of command-control.

  7. Strong explosions impact on buildings representative of an industrial facility; Impact de fortes explosions sur les batiments representatifs d'une installation industrielle

    Energy Technology Data Exchange (ETDEWEB)

    Trelat, S

    2006-12-15

    The goal of this study is to focus on the analysis of blast wave damage to structures when blast wave is consequence of explosive charge detonation. The objective is to propose useful tools to predict charges on structure. All experiences are realized in laboratory. The experimental investigation consists in simulating a detonation of a stoichiometric propane-oxygen mixture at ground level or at higher altitude. The study is going to give us experimental data on blast wave effects on a structure. For that, two types of structures frequently found on industrial site are going to be used: a parallelepipedal structure and a cylindrical structure, both with known dimensions. Finally, the important point of the problem is to determine an energetic equivalence between TNT and gas used in the experiments, in order to model TNT explosions at full scale by gaseous explosions at reduced scale. (author)

  8. A strategy for implementation of experience based seismic equipment qualification in IEEE and ASME industry standards

    International Nuclear Information System (INIS)

    Adams, T.M.

    1996-01-01

    In the past 20 years, extensive data on the performance of mechanical and electric equipment during actual strong motion earthquakes and seismic qualification tests has been accumulated. Recognizing that an experience based approach provides a technically sound and cost effective method for the seismic qualification of some or certain equipment, the IEEE Nuclear Power Engineering Committee and the ASME Committee on Qualification of Mechanical Equipment established a Special Working Group to investigate the incorporation of experienced based methods into the industry consensus codes and standards currently used in the seismic qualification of Seismic Category Nuclear Power Plant equipment. This paper presents the strategy (course of action) which was developed by the Special Working Group for meeting this objective of incorporation of experience based seismic qualification standards used in the design and seismic qualification of seismic category nuclear power plant equipment. This strategy was recommended to both chartering organizations, the IEEE Nuclear Power Engineering Committee and the ASME Committee on Qualification of Mechanical Equipment for their consideration and implementation. The status of the review and implementation of the Special Working Group's recommended strategy by the sponsoring organization is also discussed

  9. Difference-based Model Synchronization in an Industrial MDD Process

    DEFF Research Database (Denmark)

    Könemann, Patrick; Kindler, Ekkart; Unland, Ludger

    2009-01-01

    Models play a central role in model-driven software engineering. There are different kinds of models during the development process, which are related to each other and change over time. Therefore, it is difficult to keep the different models consistent with each other. Consistency of different m...... model versions, and for synchronizing other types of models. The main concern is to apply our concepts to an industrial process, in particular keeping usability and performance in mind. Keyword: Model Differencing, Model Merging, Model Synchronization...

  10. Research of grasping algorithm based on scara industrial robot

    Science.gov (United States)

    Peng, Tao; Zuo, Ping; Yang, Hai

    2018-04-01

    As the tobacco industry grows, facing the challenge of the international tobacco giant, efficient logistics service is one of the key factors. How to complete the tobacco sorting task of efficient economy is the goal of tobacco sorting and optimization research. Now the cigarette distribution system uses a single line to carry out the single brand sorting task, this article adopts a single line to realize the cigarette sorting task of different brands. Using scara robot special algorithm for sorting and packaging, the optimization scheme significantly enhances the indicators of smoke sorting system. Saving labor productivity, obviously improve production efficiency.

  11. Preliminary assessment of coal-based industrial energy systems

    Energy Technology Data Exchange (ETDEWEB)

    1980-01-01

    This report presents the results of a study, performed by Mittelhauser Corp. and Resource Engineering, Inc. to identify the potential economic, environmental, and energy impacts of possible New Source Performance Standards for industrial steam generators on the use of coal and coal-derived fuels. A systems-level approach was used to take mine-mouth coal and produce a given quantity of heat input to a new boiler at an existing Chicago industrial-plant site. The technologies studied included post-combustion clean-up, atmospheric fluidized-bed combustion, solvent-refined coal liquids, substitute natural gas, and low-Btu gas. Capital and operating costs were prepared on a mid-1985 basis from a consistent set of economic guidelines. The cases studied were evaluated using three levels of air emission controls, two coals, two boiler sizes, and two operating factors. Only those combinations considered likely to make a significant impact on the 1985 boiler population were considered. The conclusions drawn in the report are that the most attractive applications of coal technology are atmospheric fluidized-bed combustion and post-combustion clean-up. Solvent-refined coal and probably substitute natural gas become competitive for the smaller boiler applications. Coal-derived low-Btu gas was found not to be a competitive boiler fuel at the sizes studied. It is recommended that more cases be studied to broaden the applicability of these results.

  12. Strong evidence for a genetic contribution to late-onset Alzheimer's disease mortality: a population-based study.

    Directory of Open Access Journals (Sweden)

    John S K Kauwe

    Full Text Available Alzheimer's disease (AD is an international health concern that has a devastating effect on patients and families. While several genetic risk factors for AD have been identified much of the genetic variance in AD remains unexplained. There are limited published assessments of the familiality of Alzheimer's disease. Here we present the largest genealogy-based analysis of AD to date.We assessed the familiality of AD in The Utah Population Database (UPDB, a population-based resource linking electronic health data repositories for the state with the computerized genealogy of the Utah settlers and their descendants. We searched UPDB for significant familial clustering of AD to evaluate the genetic contribution to disease. We compared the Genealogical Index of Familiality (GIF between AD individuals and randomly selected controls and estimated the Relative Risk (RR for a range of family relationships. Finally, we identified pedigrees with a significant excess of AD deaths.The GIF analysis showed that pairs of individuals dying from AD were significantly more related than expected. This excess of relatedness was observed for both close and distant relationships. RRs for death from AD among relatives of individuals dying from AD were significantly increased for both close and more distant relatives. Multiple pedigrees had a significant excess of AD deaths.These data strongly support a genetic contribution to the observed clustering of individuals dying from AD. This report is the first large population-based assessment of the familiality of AD mortality and provides the only reported estimates of relative risk of AD mortality in extended relatives to date. The high-risk pedigrees identified show a true excess of AD mortality (not just multiple cases and are greater in depth and width than published AD pedigrees. The presence of these high-risk pedigrees strongly supports the possibility of rare predisposition variants not yet identified.

  13. Industry and Consumers Awareness for Effective Management of Functional Animal-based Foods in South Korea

    OpenAIRE

    Wi, Seo-Hyun; Park, Jung-Min; Wee, Sung-Hwan; Park, Jae-Woo; Kim, Jin-Man

    2013-01-01

    In recent years, manufacturers of animal-based foods with health claims have encountered difficulties in the labeling of their products because of a lack of regulation on defining the functionality of animal-based foods. Therefore, this study was conducted to establish the basic requirements for the development of a definition for functional animal-based foods by investigating consumer and industry awareness. Survey data were collected from 114 industry representatives and 1,100 consumers. Th...

  14. Implications of passive safety based on historical industrial experience

    International Nuclear Information System (INIS)

    Forsberg, C.W.

    1988-01-01

    In the past decade, there have been multiple proposals for applying different technologies to achieve passively safe light water reactors (LWRs). A key question for all such concepts is, ''What are the gains in safety, costs, and reliability for passive safety systems.'' Using several types of historical data, estimates have been made of gains from passive safety and operating systems, which are independent of technology. Proposals for passive safety in reactors usually have three characteristics: (1) Passive systems with no moving mechanical parts, (2) systems with far fewer components and (3) more stringent design criteria for safety-related and process systems. Each characteristic reduces the potential for an accident and may increase plant reliability. This paper addresses gains from items (1) and (2). Passive systems often allow adoption of more rigorous design criteria which would be either impossible or economically unfeasible for active systems. This important characteristic of passive safety systems cannot be easily addressed using historical industrial experience

  15. Knowledge lost in data : Organizational impediments to condition-based maintenance in the process industry

    NARCIS (Netherlands)

    van de Kerkhof, Roland; Akkermans, Henk; Noorderhaven, Niels; Zijm, H.; Klumpp, M.; Clausen, U.; Ten Hompel, M.

    2016-01-01

    In this chapter we report on a pilot study of Condition-Based Maintenance (CBM) in the process industries, such as the steelmaking- and chemical industries, and propose a diagnostic instrument for systematically analysing the challenges to the successful implementation and execution of a CBM

  16. Research on Technology Innovation of China's NEV Industry Based on Patent Analysis

    DEFF Research Database (Denmark)

    Wang, Jingyu; Liu, Yingqi; Kokko, Ari

    2016-01-01

    Purpose/Significance: The development of Chinas new energy vehicle(NEV) industry is concerned by both the government and enterprises. Method/Process: Based on the patent data, this paper conducts a deep analysis on the technology innovation of Chinas NEV industry from three perspectives- the year...

  17. OMI-measured SO2 in a large-scale national energy industrial base and its effect on the capital city of Xinjiang, Northwest China

    Science.gov (United States)

    Wang, Jinxiang; Mo, Jingyue; Li, Jixiang; Ling, Zaili; Huang, Tao; Zhao, Yuan; Zhang, Xiaodong; Mao, Xiaoxuan; Gao, Hong; Shen, Yanjie; Ma, Jianmin

    2017-10-01

    Although considerable efforts have been made to improve air quality in Urumqi city, the capital of Xinjiang-Uyghur Autonomous Region in northwestern China and one of the ten cities with worst air quality in China, this city is still experiencing heavy air pollution during the wintertime. The satellite remote sensing of air quality using Ozone Monitoring Instrument (OMI) measured data discerned an increasing trend of the planetary boundary layer (PBL) columns of sulfur dioxide (SO2) in Midong national petrochemical and coal chemical industry base from 2005 to 2016, located in the northeast of Urumqi. The increasing trend of OMI columnar SO2 in this area is in contrast to the widespread decreases in SO2 emissions in eastern and southern China. This is mainly induced by rapid development in the energy industry in this region over the past decade under the national strategy for energy industry expansion and relocation to northwestern China. We observed a significant correlation of OMI columnar SO2 between this energy industrial base and Urumqi city in winter (R = 0.504, p modeling confirms that the occurrence of heavy smog in this capital city during the wintertime was attributed primarily to strong emissions of air contaminants from the energy industrial base under favorable winds. A numerical case study with and without taking the Midong Industry Base into consideration revealed that this industry base contributed 38% to the SO2 level in Urumqi city, offsetting the considerable efforts made by the local government to improve air quality in this city.

  18. Modernizing Our Industrial Base: The National Security Challenge of Our Time

    Science.gov (United States)

    2015-08-01

    year at an even lower price. This is the mindset we need to instill in government and the defense industry, but that cannot happen if we do not...these challenges is by diversifying who we consider to be part of the industrial base. When the term “Defense Industrial Base” is used, entrepreneurs ...is why we need an open channel to industry that allows the DoD to pull the best ideas from inventors and entrepreneurs and to push our most complex

  19. Prediction of Industrial Electric Energy Consumption in Anhui Province Based on GA-BP Neural Network

    Science.gov (United States)

    Zhang, Jiajing; Yin, Guodong; Ni, Youcong; Chen, Jinlan

    2018-01-01

    In order to improve the prediction accuracy of industrial electrical energy consumption, a prediction model of industrial electrical energy consumption was proposed based on genetic algorithm and neural network. The model use genetic algorithm to optimize the weights and thresholds of BP neural network, and the model is used to predict the energy consumption of industrial power in Anhui Province, to improve the prediction accuracy of industrial electric energy consumption in Anhui province. By comparing experiment of GA-BP prediction model and BP neural network model, the GA-BP model is more accurate with smaller number of neurons in the hidden layer.

  20. An Industrial-Based Consortium to Develop Premium Carbon Products from Coal Final Report - Part 2

    Energy Technology Data Exchange (ETDEWEB)

    Miller, Bruce; Winton, Shea

    2010-12-31

    Since 1998, The Pennsylvania State University successfully managed the Consortium for Premium Carbon Products from Coal (CPCPC), which was a vehicle for industry-driven research on the promotion, development, and transfer of innovative technologies on premium carbon products from coal to the U.S. industry. The CPCPC was an initiative led by Penn State, its cocharter member West Virginia University (WVU), and the U.S. Department of Energy's (DOE) National Energy Technology Laboratory (NETL), who also provided the base funding for the program, with Penn State responsible for consortium management. CPCPC began in 1998 under DOE Cooperative Agreement No. DE-FC26-98FT40350. This agreement ended November 2004 but the CPCPC activity continued under cooperative agreement No. DE-FC26-03NT41874, which started October 1, 2003 and ended December 31, 2010. The objective of the second agreement was to continue the successful operation of the CPCPC. The CPCPC enjoyed tremendous success with its organizational structure, which included Penn State and WVU as charter members, numerous industrial affiliate members, and strategic university affiliate members together with NETL, forming a vibrant and creative team for innovative research in the area of transforming coal to carbon products. The key aspect of CPCPC was its industry-led council that selected proposals submitted by CPCPC members to ensure CPCPC target areas had strong industrial support. CPCPC had 58 member companies and universities engaged over the 7-year period of this contract. Members were from 17 states and five countries outside of the U.S. During this period, the CPCPC Executive Council selected 46 projects for funding. DOE/CPCPC provided $3.9 million in funding or an average of $564,000 per year. The total project costs were $5.45 million with $1.5 million, or ~28% of the total, provided by the members as cost share. Total average project size was $118,000 with $85,900 provided by DOE/CPCPC. In addition to

  1. An Industrial-Based Consortium to Develop Premium Carbon Products from Coal Final Report - Part 5

    Energy Technology Data Exchange (ETDEWEB)

    Miller, Bruce; Shea, Winton

    2010-12-31

    Since 1998, The Pennsylvania State University successfully managed the Consortium for Premium Carbon Products from Coal (CPCPC), which was a vehicle for industry-driven research on the promotion, development, and transfer of innovative technologies on premium carbon products from coal to the U.S. industry. The CPCPC was an initiative led by Penn State, its cocharter member West Virginia University (WVU), and the U.S. Department of Energy's (DOE) National Energy Technology Laboratory (NETL), who also provided the base funding for the program, with Penn State responsible for consortium management. CPCPC began in 1998 under DOE Cooperative Agreement No. DE-FC26-98FT40350. This agreement ended November 2004 but the CPCPC activity continued under cooperative agreement No. DE-FC26-03NT41874, which started October 1, 2003 and ended December 31, 2010. The objective of the second agreement was to continue the successful operation of the CPCPC. The CPCPC enjoyed tremendous success with its organizational structure, which included Penn State and WVU as charter members, numerous industrial affiliate members, and strategic university affiliate members together with NETL, forming a vibrant and creative team for innovative research in the area of transforming coal to carbon products. The key aspect of CPCPC was its industry-led council that selected proposals submitted by CPCPC members to ensure CPCPC target areas had strong industrial support. CPCPC had 58 member companies and universities engaged over the 7-year period of this contract. Members were from 17 states and five countries outside of the U.S. During this period, the CPCPC Executive Council selected 46 projects for funding. DOE/CPCPC provided $3.9 million in funding or an average of $564,000 per year. The total project costs were $5.45 million with $1.5 million, or {approx}28% of the total, provided by the members as cost share. Total average project size was $118,000 with $85,900 provided by DOE/CPCPC. In

  2. An Industrial-Based Consortium to Develop Premium Carbon Products from Coal Final Report - Part 3

    Energy Technology Data Exchange (ETDEWEB)

    Miller, Bruce; Shea, Winton

    2010-12-31

    Since 1998, The Pennsylvania State University successfully managed the Consortium for Premium Carbon Products from Coal (CPCPC), which was a vehicle for industry-driven research on the promotion, development, and transfer of innovative technologies on premium carbon products from coal to the U.S. industry. The CPCPC was an initiative led by Penn State, its cocharter member West Virginia University (WVU), and the U.S. Department of Energy's (DOE) National Energy Technology Laboratory (NETL), who also provided the base funding for the program, with Penn State responsible for consortium management. CPCPC began in 1998 under DOE Cooperative Agreement No. DE-FC26-98FT40350. This agreement ended November 2004 but the CPCPC activity continued under cooperative agreement No. DE-FC26-03NT41874, which started October 1, 2003 and ended December 31, 2010. The objective of the second agreement was to continue the successful operation of the CPCPC. The CPCPC enjoyed tremendous success with its organizational structure, which included Penn State and WVU as charter members, numerous industrial affiliate members, and strategic university affiliate members together with NETL, forming a vibrant and creative team for innovative research in the area of transforming coal to carbon products. The key aspect of CPCPC was its industry-led council that selected proposals submitted by CPCPC members to ensure CPCPC target areas had strong industrial support. CPCPC had 58 member companies and universities engaged over the 7-year period of this contract. Members were from 17 states and five countries outside of the U.S. During this period, the CPCPC Executive Council selected 46 projects for funding. DOE/CPCPC provided $3.9 million in funding or an average of $564,000 per year. The total project costs were $5.45 million with $1.5 million, or ~28% of the total, provided by the members as cost share. Total average project size was $118,000 with $85,900 provided by DOE/CPCPC. In addition to

  3. An Industrial-Based Consortium to Develop Premium Carbon Products from Coal Final Report - Part 4

    Energy Technology Data Exchange (ETDEWEB)

    Miller, Bruce; Shea, Winton

    2010-12-31

    Since 1998, The Pennsylvania State University successfully managed the Consortium for Premium Carbon Products from Coal (CPCPC), which was a vehicle for industry-driven research on the promotion, development, and transfer of innovative technologies on premium carbon products from coal to the U.S. industry. The CPCPC was an initiative led by Penn State, its cocharter member West Virginia University (WVU), and the U.S. Department of Energy's (DOE) National Energy Technology Laboratory (NETL), who also provided the base funding for the program, with Penn State responsible for consortium management. CPCPC began in 1998 under DOE Cooperative Agreement No. DE-FC26-98FT40350. This agreement ended November 2004 but the CPCPC activity continued under cooperative agreement No. DE-FC26-03NT41874, which started October 1, 2003 and ended December 31, 2010. The objective of the second agreement was to continue the successful operation of the CPCPC. The CPCPC enjoyed tremendous success with its organizational structure, which included Penn State and WVU as charter members, numerous industrial affiliate members, and strategic university affiliate members together with NETL, forming a vibrant and creative team for innovative research in the area of transforming coal to carbon products. The key aspect of CPCPC was its industry-led council that selected proposals submitted by CPCPC members to ensure CPCPC target areas had strong industrial support. CPCPC had 58 member companies and universities engaged over the 7-year period of this contract. Members were from 17 states and five countries outside of the U.S. During this period, the CPCPC Executive Council selected 46 projects for funding. DOE/CPCPC provided $3.9 million in funding or an average of $564,000 per year. The total project costs were $5.45 million with $1.5 million, or {approx}28% of the total, provided by the members as cost share. Total average project size was $118,000 with $85,900 provided by DOE/CPCPC. In

  4. An Industrial-Based Consortium to Develop Premium Carbon Products from Coal Final Report - Part 1

    Energy Technology Data Exchange (ETDEWEB)

    Miller, Bruce; Winton, Shea

    2010-12-31

    Since 1998, The Pennsylvania State University successfully managed the Consortium for Premium Carbon Products from Coal (CPCPC), which was a vehicle for industry-driven research on the promotion, development, and transfer of innovative technologies on premium carbon products from coal to the U.S. industry. The CPCPC was an initiative led by Penn State, its cocharter member West Virginia University (WVU), and the U.S. Department of Energy's (DOE) National Energy Technology Laboratory (NETL), who also provided the base funding for the program, with Penn State responsible for consortium management. CPCPC began in 1998 under DOE Cooperative Agreement No. DE-FC26-98FT40350. This agreement ended November 2004 but the CPCPC activity continued under cooperative agreement No. DE-FC26-03NT41874, which started October 1, 2003 and ended December 31, 2010. The objective of the second agreement was to continue the successful operation of the CPCPC. The CPCPC enjoyed tremendous success with its organizational structure, which included Penn State and WVU as charter members, numerous industrial affiliate members, and strategic university affiliate members together with NETL, forming a vibrant and creative team for innovative research in the area of transforming coal to carbon products. The key aspect of CPCPC was its industry-led council that selected proposals submitted by CPCPC members to ensure CPCPC target areas had strong industrial support. CPCPC had 58 member companies and universities engaged over the 7-year period of this contract. Members were from 17 states and five countries outside of the U.S. During this period, the CPCPC Executive Council selected 46 projects for funding. DOE/CPCPC provided $3.9 million in funding or an average of $564,000 per year. The total project costs were $5.45 million with $1.5 million, or ~28% of the total, provided by the members as cost share. Total average project size was $118,000 with $85,900 provided by DOE/CPCPC. In addition to

  5. Evaluation of the Evidence Base for the Alcohol Industry's Actions to Reduce Drink Driving Globally.

    Science.gov (United States)

    Esser, Marissa B; Bao, James; Jernigan, David H; Hyder, Adnan A

    2016-04-01

    To evaluate the evidence base for the content of initiatives that the alcohol industry implemented to reduce drink driving from 1982 to May 2015. We systematically analyzed the content of 266 global initiatives that the alcohol industry has categorized as actions to reduce drink driving. Social aspects public relations organizations (i.e., organizations funded by the alcohol industry to handle issues that may be damaging to the business) sponsored the greatest proportion of the actions. Only 0.8% (n = 2) of the sampled industry actions were consistent with public health evidence of effectiveness for reducing drink driving. The vast majority of the alcohol industry's actions to reduce drink driving does not reflect public health evidenced-based recommendations, even though effective drink-driving countermeasures exist, such as a maximum blood alcohol concentration limit of 0.05 grams per deciliter for drivers and widespread use of sobriety checkpoints.

  6. Industrial cloud-based cyber-physical systems the IMC-AESOP approach

    CERN Document Server

    Bangemann, Thomas; Karnouskos, Stamatis; Delsing, Jerker; Stluka, Petr; Harrison, Robert; Jammes, Francois; Lastra, Jose

    2014-01-01

    This book presents cutting-edge emerging technologies and approaches in the areas of service-oriented architectures, intelligent devices, and cloud-based cyber-physical systems. It provides a clear view on their applicability to the management and automation of manufacturing and process industries. It offers a holistic view of future industrial cyber-physical systems and their industrial usage, and also depicts technologies and architectures as well as a migration approach and engineering tools based on these. By providing a careful balance between the theory and the practical aspects, this book has been authored by several experts from academia and industry, thereby offering a valuable understanding of the vision, the domain, the processes and the results of the research. It has several illustrations and tables to clearly exemplify the concepts and results examined in the text, and these are supported by four real-life case-studies. We are witnessing rapid advances in the industrial automation, mainly driven...

  7. Biomass fuel based on wastes from the paper industry

    Directory of Open Access Journals (Sweden)

    Budzyń Stanisław

    2016-01-01

    Full Text Available Wastes from paper industry are mostly combustible. It is possible to recycle them with energy recovery. These wastes have a high moisture content (up to 60% and thus a small calorific value. An alternative to waste incineration is the production of solid recovered fuel. The benefits are: easy adjustment of the physical and chemical properties of the fuel (via the change of proportions of ingredients, low moisture and high calorific value. The study involved the following types of cellulose wastes: - Belmer - the rejects from recovered paper, Krofta - deinking sludge, sludge - wastewater treatment sludge, bark - the rejects from virgin pulps. The results of investigations of waste produced in one of the biggest Polish paper mill - are shown. Following aspects were investigated: energy properties, content of carbon, hydrogen, sulfur, chlorine and nitrogen, chemical composition of ash. Authors proposed two formulas of the biomass fuel. The properties of the fuel such as the content of carbon, hydrogen, sulfur, chlorine or nitrogen, the chemical composition of the ash were investigated. Due to the fact that the combustion of the biomass fuel is preferred in view of law regulations (zero CO2 emission, green certificates the content of biodegradable fraction was examined. It has been shown that the fuel is a biomass one. Fuel from waste can be a substitute for approx. 25% of primary fuel (coal used by the paper mill.

  8. Commercial and Industrial Base Intermittent Resource Management Pilot

    Energy Technology Data Exchange (ETDEWEB)

    Kiliccote, Sila; Sporborg, Pamela; Sheik, Imran; Huffaker, Erich; Piette, Mary Ann

    2010-11-30

    This scoping study summarizes the challenges with integrating wind and solar generation into the California's electricity grid. These challenges include: Smoothing intra-hour variability; - Absorbing excess renewable energy during over-generation periods; - Addressing morning and evening ramping periods. In addition, there are technical challenges to integrating retail demand response (DR) triggered by the wholesale conditions into the CAISO markets. The study describes the DR programs available to the consumers through the utilities in California and CAISO's ancillary services market because an integration of the wholesale and retail DR requires an understanding of these different offerings and the costs associated with acquiring them. Demand-side active and passive storage systems are proposed as technologies that may be used to mitigate the effects of intermittence due to renewable generation. Commercial building technologies as well as industrial facilities with storage capability are identified as targets for the field tests. Two systems used for ancillary services communications are identified as providing the triggers for DR enablement. Through the field tests, issues related to communication, automation and flexibility of demand-side resources will be explored and the performance of technologies that participate in the field tests will be evaluated. The major outcome of this research is identifying and defining flexibility of DR resources and optimized use of these resources to respond to grid conditions.

  9. Simulation of Mechanical Transmissions for Base Translation of an Industrial Robot

    Directory of Open Access Journals (Sweden)

    Dumitru Adrian Stefan

    2009-07-01

    Full Text Available This paper presents the simulation of 2 chained mechanical transmissions used to obtain the base translation of an industrial robot: worm - worm gear transmission and motion screw - nut transmission. For simulation, CATIA V5 software was used.

  10. Simulation of Mechanical Transmissions for Base Translation of an Industrial Robot

    Directory of Open Access Journals (Sweden)

    Dumitru Adrian Ştefan

    2009-10-01

    Full Text Available This paper presents the simulation of 2 chained mechanical transmissions used to obtain the base translation of an industrial robot: worm - worm gear transmission and motion screw - nut transmission. For simulation, CATIA V5 software was used.

  11. The strong reactions of Lewis-base noble-metals with vanadium and other acidic transition metals

    Energy Technology Data Exchange (ETDEWEB)

    Ebbinghaus, Bartley B. [Univ. of California, Berkeley, CA (United States)

    1991-05-01

    The noble metals often thought of as unreactive solids,react strongly with nearly 40% of the elements in the periodictable: group IIIB-VB transition metals, lanthanides, theactinides, and group IIIA-IVA non-transition metals. These strong reactions arise from increased bonding/electron transfer fromnonbonding electrons d electron pairs on the noble metal tovacant orbitals on V, etc. This effect is a generalized Lewis acid-base interaction. The partial Gibbs energy of V in the noblemetals has been measured as a function of concentration at a temperature near 1000C. Thermodynamics of the intermetallics are determined by ternary oxide equilibria, ternary carbide equilibria, and the high-temperature galvanic cell technique. These experimental methods use equilibrated solid composite mixtures in which grains of V oxides or of V carbides are interspersed with grains of V-NM(noble-metal) alloys. In equilibrium the activity of V in the oxide or the carbide equals the activity in the alloy. Consequently, the thermodynamics available in the literature for the V oxides and V carbides are reviewed. Test runs on the galvanic cell were attempted. The V oxide electrode reacts with CaF2, ThO2, YDT(0.85ThO2-0.15YO1.5), and LDT(0.85ThO2- 0.15LaO1.5) to interfere with the measured data observed toward the beginning of a galvanic cell experiment are the most accurate. The interaction of vanadium at infinite dilution in the noble-metals was determined.

  12. The strong reactions of Lewis-base noble-metals with vanadium and other acidic transition metals

    Energy Technology Data Exchange (ETDEWEB)

    Ebbinghaus, B.B.

    1991-05-01

    The noble metals often thought of as unreactive solids,react strongly with nearly 40% of the elements in the periodictable: group IIIB-VB transition metals, lanthanides, theactinides, and group IIIA-IVA non-transition metals. These strong reactions arise from increased bonding/electron transfer fromnonbonding electrons d electron pairs on the noble metal tovacant orbitals on V, etc. This effect is a generalized Lewis acid-base interaction. The partial Gibbs energy of V in the noblemetals has been measured as a function of concentration at a temperature near 1000C. Thermodynamics of the intermetallics are determined by ternary oxide equilibria, ternary carbide equilibria, and the high-temperature galvanic cell technique. These experimental methods use equilibrated solid composite mixtures in which grains of V oxides or of V carbides are interspersed with grains of V-NM(noble-metal) alloys. In equilibrium the activity of V in the oxide or the carbide equals the activity in the alloy. Consequently, the thermodynamics available in the literature for the V oxides and V carbides are reviewed. Test runs on the galvanic cell were attempted. The V oxide electrode reacts with CaF[sub 2], ThO[sub 2], YDT(0.85ThO[sub 2]-0.15YO[sub 1.5]), and LDT(0.85ThO[sub 2]- 0.15LaO[sub 1.5]) to interfere with the measured data observed toward the beginning of a galvanic cell experiment are the most accurate. The interaction of vanadium at infinite dilution in the noble-metals was determined.

  13. Fault Diagnosis for the Heat Exchanger of the Aircraft Environmental Control System Based on the Strong Tracking Filter

    Science.gov (United States)

    Ma, Jian; Lu, Chen; Liu, Hongmei

    2015-01-01

    The aircraft environmental control system (ECS) is a critical aircraft system, which provides the appropriate environmental conditions to ensure the safe transport of air passengers and equipment. The functionality and reliability of ECS have received increasing attention in recent years. The heat exchanger is a particularly significant component of the ECS, because its failure decreases the system’s efficiency, which can lead to catastrophic consequences. Fault diagnosis of the heat exchanger is necessary to prevent risks. However, two problems hinder the implementation of the heat exchanger fault diagnosis in practice. First, the actual measured parameter of the heat exchanger cannot effectively reflect the fault occurrence, whereas the heat exchanger faults are usually depicted by utilizing the corresponding fault-related state parameters that cannot be measured directly. Second, both the traditional Extended Kalman Filter (EKF) and the EKF-based Double Model Filter have certain disadvantages, such as sensitivity to modeling errors and difficulties in selection of initialization values. To solve the aforementioned problems, this paper presents a fault-related parameter adaptive estimation method based on strong tracking filter (STF) and Modified Bayes classification algorithm for fault detection and failure mode classification of the heat exchanger, respectively. Heat exchanger fault simulation is conducted to generate fault data, through which the proposed methods are validated. The results demonstrate that the proposed methods are capable of providing accurate, stable, and rapid fault diagnosis of the heat exchanger. PMID:25823010

  14. Fault diagnosis for the heat exchanger of the aircraft environmental control system based on the strong tracking filter.

    Science.gov (United States)

    Ma, Jian; Lu, Chen; Liu, Hongmei

    2015-01-01

    The aircraft environmental control system (ECS) is a critical aircraft system, which provides the appropriate environmental conditions to ensure the safe transport of air passengers and equipment. The functionality and reliability of ECS have received increasing attention in recent years. The heat exchanger is a particularly significant component of the ECS, because its failure decreases the system's efficiency, which can lead to catastrophic consequences. Fault diagnosis of the heat exchanger is necessary to prevent risks. However, two problems hinder the implementation of the heat exchanger fault diagnosis in practice. First, the actual measured parameter of the heat exchanger cannot effectively reflect the fault occurrence, whereas the heat exchanger faults are usually depicted by utilizing the corresponding fault-related state parameters that cannot be measured directly. Second, both the traditional Extended Kalman Filter (EKF) and the EKF-based Double Model Filter have certain disadvantages, such as sensitivity to modeling errors and difficulties in selection of initialization values. To solve the aforementioned problems, this paper presents a fault-related parameter adaptive estimation method based on strong tracking filter (STF) and Modified Bayes classification algorithm for fault detection and failure mode classification of the heat exchanger, respectively. Heat exchanger fault simulation is conducted to generate fault data, through which the proposed methods are validated. The results demonstrate that the proposed methods are capable of providing accurate, stable, and rapid fault diagnosis of the heat exchanger.

  15. Fuzzy-based HAZOP study for process industry

    Energy Technology Data Exchange (ETDEWEB)

    Ahn, Junkeon; Chang, Daejun, E-mail: djchang@kaist.edu

    2016-11-05

    Highlights: • HAZOP is the important technique to evaluate system safety and its risks while process operations. • Fuzzy theory can handle the inherent uncertainties of process systems for the HAZOP. • Fuzzy-based HAZOP considers the aleatory and epistemic uncertainties and provides the risk level with less uncertainty. • Risk acceptance criteria should be considered regarding the transition region for each risk. - Abstract: This study proposed a fuzzy-based HAZOP for analyzing process hazards. Fuzzy theory was used to express uncertain states. This theory was found to be a useful approach to overcome the inherent uncertainty in HAZOP analyses. Fuzzy logic sharply contrasted with classical logic and provided diverse risk values according to its membership degree. Appropriate process parameters and guidewords were selected to describe the frequency and consequence of an accident. Fuzzy modeling calculated risks based on the relationship between the variables of an accident. The modeling was based on the mean expected value, trapezoidal fuzzy number, IF-THEN rules, and the center of gravity method. A cryogenic LNG (liquefied natural gas) testing facility was the objective process for the fuzzy-based and conventional HAZOPs. The most significant index is the frequency to determine risks. The comparison results showed that the fuzzy-based HAZOP provides better sophisticated risks than the conventional HAZOP. The fuzzy risk matrix presents the significance of risks, negligible risks, and necessity of risk reduction.

  16. Effects of Economic Globalization on the United States’ Defense Industrial Base

    Science.gov (United States)

    2007-03-12

    EFFECTS OF ECONOMIC GLOBALIZATION ON THE UNITED STATES’ DEFENSE INDUSTRIAL BASE BY LIEUTENANT COLONEL JOHN M. LAZAR United States Army...COVERED 00-00-2006 to 00-00-2007 4. TITLE AND SUBTITLE Effects of Economic Globalization on the United States’ Defense Industrial Base 5a. CONTRACT...and the Council for Higher Education Accreditation. USAWC STRATEGY RESEARCH PROJECT EFFECTS OF ECONOMIC GLOBALIZATION ON THE

  17. Effects of reactive filters based on modified zeolite in dairy industry wastewater treatment process

    OpenAIRE

    Kolaković, Srđan; Stefanović, Dragoslav; Milićević, Dragan; Trajković, Slaviša; Milenković, Slobodan; Kolaković, Slobodan S.; Anđelković, Ljiljana

    2013-01-01

    Application of adsorbents based on organo-zeolites has certain advantages over conventional methods applied in food industry wastewater treatment process. The case study presented in this paper examines the possibilities and effects of treatment of dairy industry wastewater by using adsorbents based on organo-zeolites. The obtained results indicate favorable filtration properties of organo-zeolite, their high level of adsorption of organic matter and nitrat...

  18. Conceptual approaches to forming a strategy of innovation-based development of the coal industry

    OpenAIRE

    DRACHUK YU. Z.; RASSUZHDAY L.M.; TRUSHKINA N.V.

    2014-01-01

    The paper substantiates conceptual approaches to forming a strategy of innovation-based development of the national coal industry, which consist in defining the basis for using a portfolio approach to the management of innovation projects at the enterprise; consideration of uncertainty and risk factors when evaluating innovation projects; government regulation of market mechanisms in the implementation of innovation-based development of the coal industry; prove of coal-mining enterprises’ cap...

  19. Anomaly Detection Based on Sensor Data in Petroleum Industry Applications

    Science.gov (United States)

    Martí, Luis; Sanchez-Pi, Nayat; Molina, José Manuel; Garcia, Ana Cristina Bicharra

    2015-01-01

    Anomaly detection is the problem of finding patterns in data that do not conform to an a priori expected behavior. This is related to the problem in which some samples are distant, in terms of a given metric, from the rest of the dataset, where these anomalous samples are indicated as outliers. Anomaly detection has recently attracted the attention of the research community, because of its relevance in real-world applications, like intrusion detection, fraud detection, fault detection and system health monitoring, among many others. Anomalies themselves can have a positive or negative nature, depending on their context and interpretation. However, in either case, it is important for decision makers to be able to detect them in order to take appropriate actions. The petroleum industry is one of the application contexts where these problems are present. The correct detection of such types of unusual information empowers the decision maker with the capacity to act on the system in order to correctly avoid, correct or react to the situations associated with them. In that application context, heavy extraction machines for pumping and generation operations, like turbomachines, are intensively monitored by hundreds of sensors each that send measurements with a high frequency for damage prevention. In this paper, we propose a combination of yet another segmentation algorithm (YASA), a novel fast and high quality segmentation algorithm, with a one-class support vector machine approach for efficient anomaly detection in turbomachines. The proposal is meant for dealing with the aforementioned task and to cope with the lack of labeled training data. As a result, we perform a series of empirical studies comparing our approach to other methods applied to benchmark problems and a real-life application related to oil platform turbomachinery anomaly detection. PMID:25633599

  20. Anomaly detection based on sensor data in petroleum industry applications.

    Science.gov (United States)

    Martí, Luis; Sanchez-Pi, Nayat; Molina, José Manuel; Garcia, Ana Cristina Bicharra

    2015-01-27

    Anomaly detection is the problem of finding patterns in data that do not conform to an a priori expected behavior. This is related to the problem in which some samples are distant, in terms of a given metric, from the rest of the dataset, where these anomalous samples are indicated as outliers. Anomaly detection has recently attracted the attention of the research community, because of its relevance in real-world applications, like intrusion detection, fraud detection, fault detection and system health monitoring, among many others. Anomalies themselves can have a positive or negative nature, depending on their context and interpretation. However, in either case, it is important for decision makers to be able to detect them in order to take appropriate actions. The petroleum industry is one of the application contexts where these problems are present. The correct detection of such types of unusual information empowers the decision maker with the capacity to act on the system in order to correctly avoid, correct or react to the situations associated with them. In that application context, heavy extraction machines for pumping and generation operations, like turbomachines, are intensively monitored by hundreds of sensors each that send measurements with a high frequency for damage prevention. In this paper, we propose a combination of yet another segmentation algorithm (YASA), a novel fast and high quality segmentation algorithm, with a one-class support vector machine approach for efficient anomaly detection in turbomachines. The proposal is meant for dealing with the aforementioned task and to cope with the lack of labeled training data. As a result, we perform a series of empirical studies comparing our approach to other methods applied to benchmark problems and a real-life application related to oil platform turbomachinery anomaly detection.

  1. Anomaly Detection Based on Sensor Data in Petroleum Industry Applications

    Directory of Open Access Journals (Sweden)

    Luis Martí

    2015-01-01

    Full Text Available Anomaly detection is the problem of finding patterns in data that do not conform to an a priori expected behavior. This is related to the problem in which some samples are distant, in terms of a given metric, from the rest of the dataset, where these anomalous samples are indicated as outliers. Anomaly detection has recently attracted the attention of the research community, because of its relevance in real-world applications, like intrusion detection, fraud detection, fault detection and system health monitoring, among many others. Anomalies themselves can have a positive or negative nature, depending on their context and interpretation. However, in either case, it is important for decision makers to be able to detect them in order to take appropriate actions. The petroleum industry is one of the application contexts where these problems are present. The correct detection of such types of unusual information empowers the decision maker with the capacity to act on the system in order to correctly avoid, correct or react to the situations associated with them. In that application context, heavy extraction machines for pumping and generation operations, like turbomachines, are intensively monitored by hundreds of sensors each that send measurements with a high frequency for damage prevention. In this paper, we propose a combination of yet another segmentation algorithm (YASA, a novel fast and high quality segmentation algorithm, with a one-class support vector machine approach for efficient anomaly detection in turbomachines. The proposal is meant for dealing with the aforementioned task and to cope with the lack of labeled training data. As a result, we perform a series of empirical studies comparing our approach to other methods applied to benchmark problems and a real-life application related to oil platform turbomachinery anomaly detection.

  2. Study on eco-efficiency of industrial parks in China based on data envelopment analysis.

    Science.gov (United States)

    Fan, Yupeng; Bai, Bingyang; Qiao, Qi; Kang, Peng; Zhang, Yue; Guo, Jing

    2017-05-01

    China's industrial parks have been playing a crucial role on driving regional economy development, but also been posing threats to local environment due to intensive resource consumption and waste emission. Chinese government facilitated eco-industrial development of industrial park, aiming to output more with less environmental burden. In our study, the eco-efficiency levels of 40 Chinese industrial parks in 2012 were assessed and ranked by Data Envelopment Analysis (DEA). This paper applied indicators relevant to resource, economy, and environment from industrial parks which can well reflect the characteristics of eco-efficiency conforming to the concept of sustainability. This paper introduced how to adjust less sustainable parks to be more sustainable according to the DEA results. The roles of industrial added value per capita, industrial structure, environmental policy and development scale as influence factors of eco-efficiency were discussed. The results show that large differences exist in the eco-efficiency of different industrial parks. It is shown that 20% of the parks are relatively efficient. 47% of the study parks being inefficient in terms of scale efficiency show decreasing returns to scale. Policy implementations for the management of industrial parks were also discussed based on the results. Copyright © 2017 Elsevier Ltd. All rights reserved.

  3. Guideline for implementing Co-generation based on biomass waste from Thai industries

    Energy Technology Data Exchange (ETDEWEB)

    Lybaek, R.

    2005-07-01

    Due to the large-scale industrial development in Thailand the consumption of energy - primarily based on fossil fuels - has increased enormously, even though the economic growth has slowed down since the economic crisis in 1997. It is, therefore, important to reduce the environmental impact of this energy consumption, which can be achieved by energy conservation, higher efficiency in the production of energy, or by the use of different kinds of renewable energy. This thesis seeks to develop new strategies for the use of waste heat as a part of the industrial process heat, which can be supplied to industries by a district-heating network. By substituting process heat - produced by electricity or by boilers using fossil fuel in individual industries - with process heat, produced by a co-generation plant - using the industries own biomass waste as fuel - process heat can be supplied to industries participating in a small scale district heating network. Thus, an Industrial Materials Network can be created, which is environmentally as well as economically beneficial for both industry and society. On the basis of a case study of the industrial area, Navanakorn Industrial Promotion Zone in Thailand, such initiatives for efficient materials and energy uses have been conducted and proved successful, and industries - as well as local and national governmental agencies, NGOs and branch organizations etc. - have shown interest in supporting the implementation of such scheme. In this thesis, a Guideline for large-scale implementation of Industrial Materials Network in Thailand was developed. By following a series of actions, the Guideline defines the initiatives that must be taken in order to ensure correct implementation. Chronologically, the emphasis of the Guideline is on pointing to relevant stakeholders who can pursue the implementation, and then appropriate areas and types of industries for Industrial Materials Network implementation. Thereafter, guidance for the

  4. Innovative Development of Building Materials Industry of the Region Based on the Cluster Approach

    Directory of Open Access Journals (Sweden)

    Mottaeva Asiiat

    2016-01-01

    Full Text Available The article discusses issues of innovative development of building materials industry of the region based on the cluster approach. Determined the significance of regional cluster development of the industry of construction materials as the effective implementation of the innovative breakthrough of the region as an important part of strategies for strengthening innovation activities may be to support the formation and development of cluster structures. Analyses the current situation with innovation in the building materials industry of the region based on the cluster approach. In the course of the study revealed a direct correlation between involvement in innovative activities on a cluster basis, and the level of development of industry of construction materials. The conducted research allowed identifying the factors that determine the innovation process, systematization and classification which determine the sustainable functioning of the building materials industry in the period of active innovation. The proposed grouping of innovations for the construction industry taking into account industry-specific characteristics that reflect modern trends of scientific and technological progress in construction. Significance of the study lies in the fact that the proposals and practical recommendations can be used in the formation mechanism of innovative development of building materials industry and the overall regional construction complex of Russian regions by creating clusters of construction.

  5. Development of industrial hydrogenating catalyst on rhenium base

    International Nuclear Information System (INIS)

    Chistyakova, G.A.; Bat', I.I.; Rebrova, V.V.

    1975-01-01

    Processes for forming rhenium catalysts on carbon carrier and their catalytic properties in nitrobenzene (NB) reduction were studied. Application of an ammonia preparation to the carbon surface produced impregnated carbon saturated at room temperature with a water solution of the ammonia preparation, taken in a volume equal to the volumetric capacity of the carbon. With one impregnation, 2% rhenium was taken up. Catalysts containing more than 5% rhenium were obtained by impregnating the carbon with heating and use of more concentrated solutions. Catalysts made in this way and dried at 100 0 C had the composition Re 2 OH/carbon/. The most active catalysts were those reduced at 200-250 0 C; higher temperatures, up to 300-500 0 C, decreased the activity. Study of the catalytic properties of the rhenium catalysts in a liquid phase reduction of NB showed that the specific activity of rhenium depends only slightly on the content of the active component in the catalyst and is close to the specific activity of palladium and considerably exceeds that of nickel. Study of the effect of the NB concentration and hydrogen pressure on the activity and stability of the 5% rhenium catalyst indicated that with NB concentrations from 50 to 10% the process takes place at an essentially constant rate; the order of the reaction was close to zero with an apparent activation energy of about 7000 cal/mole. At pressures of 15-200 atm the yield with the 5% catalyst was proportional to the hydrogen pressure. A big advantage of the rhenium catalysts in the reduction of NB is their high selectivity. With a higher activity than palladium and nickel catalysts, 5% rhenium catalyst produces a high operating capacity in a wide range of contact charges, which has considerable significance for industrial use in contact apparatus of the column type. Comparison of the costs of rhenium catalysts and granular carbon carrier with those of nickel, platinum, and palladium showed that 5% rhenium catalyst can

  6. Skill Based Instruction of Collaborative Robots in Industrial Settings

    DEFF Research Database (Denmark)

    Schou, Casper; Andersen, Rasmus Skovgaard; Chrysostomou, Dimitrios

    2018-01-01

    robot. The tool called Skill Based System (SBS) is founded on the concept of robot skills, which are parameterizeable and task related actions of the robot. Task programming is conducted by first sequencing skills followed by an online parameterization performed using kinesthetic teaching. Through...

  7. Bases for Vocational Education for Food Service Industry Employees.

    Science.gov (United States)

    Iowa State Univ. of Science and Technology, Ames.

    As a preliminary step in establishing bases for food service training programs, data were collected from a sample of institutions including 4,496 restaurants, 158 hospitals, 436 nursing homes, and 343 custodial homes. A second phase involved developing inventories of attitudes toward food service employment and administering them to high school…

  8. Creating and using industry-based problem-based learning challenges in photonics: lessons learned

    Science.gov (United States)

    Donnelly, Judith; Dischino, Michele; Hanes, Fenna; Massa, Nicholas

    2009-06-01

    Problem-based learning (PBL) is an educational approach whereby students learn course content by actively and collaboratively solving real-world problems presented in a context similar to that in which the learning is to be applied. Project PHOTON PBL, in collaboration with photonics industry and research university partners, created eight interdisciplinary multi-media Challenges to be used in high school and community college math, science and technology courses. Each Challenge was recorded on location and features the scientists, engineers and technicians who originally solved the problem engaged in authentic problem solving. In this paper we describe the evolution of the development of the Challenges and we provide instructions on creating a Challenge and using it in the classroom to enhance student learning.

  9. Industrial application of a graphics computer-based training system

    International Nuclear Information System (INIS)

    Klemm, R.W.

    1985-01-01

    Graphics Computer Based Training (GCBT) roles include drilling, tutoring, simulation and problem solving. Of these, Commonwealth Edison uses mainly tutoring, simulation and problem solving. These roles are not separate in any particular program. They are integrated to provide tutoring and part-task simulation, part-task simulation and problem solving, or problem solving tutoring. Commonwealth's Graphics Computer Based Training program was a result of over a year's worth of research and planning. The keys to the program are it's flexibility and control. Flexibility is maintained through stand alone units capable of program authoring and modification for plant/site specific users. Yet, the system has the capability to support up to 31 terminals with a 40 mb hard disk drive. Control of the GCBT program is accomplished through establishment of development priorities and a central development facility (Commonwealth Edison's Production Training Center)

  10. Efficient Regression Testing Based on Test History: An Industrial Evaluation

    OpenAIRE

    Ekelund, Edward Dunn; Engström, Emelie

    2015-01-01

    Due to changes in the development practices at Axis Communications, towards continuous integration, faster regression testing feedback is needed. The current automated regression test suite takes approximately seven hours to run which prevents developers from integrating code changes several times a day as preferred. Therefore we want to implement a highly selective yet accurate regression testing strategy. Traditional code coverage based techniques are not applicable due to the size and comp...

  11. 2011 Defense Industrial Base Critical Infrastructure Protection Conference (DIBCIP)

    Science.gov (United States)

    2011-08-25

    Operating Base in Colombia , and the Military Groups in over 30 countries within the area of responsibility. Prior to his promotion to General Officer...contingency operations in Somalia, Haiti, Bosnia, Croatia, Liberia, Colombia , and Kosovo. Colonel Stephan is a distinguished graduate of the USAF...Boots Pharmaceuticals . He holds a Bachelor of Science degree in Applied Chemistry from DeMontfort University in England. MR. THEODORE M. DAVIDSON

  12. Towards Dynamic Criticality-Based Maintenance Strategy for Industrial Assets

    OpenAIRE

    Adams, Joel; Srinivasan, Rengarajan; Parlikad, Ajith Kumar; Diaz, V; Crespo, Marquez A

    2016-01-01

    An asset’s risk is a useful indicator for determining optimal time of repair/replacement for assets in order to yield minimal operational cost of maintenance. For a successful asset management practice, asset-intensive organisations must understand the risk profile associated with their asset portfolio and how this will change over time. Unfortunately, in many risk-based asset management approaches, the only thing that is known to change in the risk profile of the asset is the likelihood (or ...

  13. Strongly Agree or Strongly Disagree?

    DEFF Research Database (Denmark)

    Carrizosa, Emilio; Nogales-Gómez, Amaya; Morales, Dolores Romero

    2016-01-01

    In linear classifiers, such as the Support Vector Machine (SVM), a score is associated with each feature and objects are assigned to classes based on the linear combination of the scores and the values of the features. Inspired by discrete psychometric scales, which measure the extent to which...... a factor is in agreement with a statement, we propose the Discrete Level Support Vector Machine (DILSVM) where the feature scores can only take on a discrete number of values, defined by the so-called feature rating levels. The DILSVM classifier benefits from interpretability and it has visual appeal...

  14. Industrial Internet of Things-Based Collaborative Sensing Intelligence: Framework and Research Challenges.

    Science.gov (United States)

    Chen, Yuanfang; Lee, Gyu Myoung; Shu, Lei; Crespi, Noel

    2016-02-06

    The development of an efficient and cost-effective solution to solve a complex problem (e.g., dynamic detection of toxic gases) is an important research issue in the industrial applications of the Internet of Things (IoT). An industrial intelligent ecosystem enables the collection of massive data from the various devices (e.g., sensor-embedded wireless devices) dynamically collaborating with humans. Effectively collaborative analytics based on the collected massive data from humans and devices is quite essential to improve the efficiency of industrial production/service. In this study, we propose a collaborative sensing intelligence (CSI) framework, combining collaborative intelligence and industrial sensing intelligence. The proposed CSI facilitates the cooperativity of analytics with integrating massive spatio-temporal data from different sources and time points. To deploy the CSI for achieving intelligent and efficient industrial production/service, the key challenges and open issues are discussed, as well.

  15. Analysis of Product Distribution Strategy in Digital Publishing Industry Based on Game-Theory

    Science.gov (United States)

    Xu, Li-ping; Chen, Haiyan

    2017-04-01

    The digital publishing output increased significantly year by year. It has been the most vigorous point of economic growth and has been more important to press and publication industry. Its distribution channel has been diversified, which is different from the traditional industry. A deep research has been done in digital publishing industry, for making clear of the constitution of the industry chain and establishing the model of industry chain. The cooperative and competitive relationship between different distribution channels have been analyzed basing on a game-theory. By comparing the distribution quantity and the market size between the static distribution strategy and dynamic distribution strategy, we get the theory evidence about how to choose the distribution strategy to get the optimal benefit.

  16. Industrial Internet of Things-Based Collaborative Sensing Intelligence: Framework and Research Challenges

    Directory of Open Access Journals (Sweden)

    Yuanfang Chen

    2016-02-01

    Full Text Available The development of an efficient and cost-effective solution to solve a complex problem (e.g., dynamic detection of toxic gases is an important research issue in the industrial applications of the Internet of Things (IoT. An industrial intelligent ecosystem enables the collection of massive data from the various devices (e.g., sensor-embedded wireless devices dynamically collaborating with humans. Effectively collaborative analytics based on the collected massive data from humans and devices is quite essential to improve the efficiency of industrial production/service. In this study, we propose a collaborative sensing intelligence (CSI framework, combining collaborative intelligence and industrial sensing intelligence. The proposed CSI facilitates the cooperativity of analytics with integrating massive spatio-temporal data from different sources and time points. To deploy the CSI for achieving intelligent and efficient industrial production/service, the key challenges and open issues are discussed, as well.

  17. A New Method for State of Charge Estimation of Lithium-Ion Battery Based on Strong Tracking Cubature Kalman Filter

    Directory of Open Access Journals (Sweden)

    Bizhong Xia

    2015-11-01

    Full Text Available The estimation of state of charge (SOC is a crucial evaluation index in a battery management system (BMS. The value of SOC indicates the remaining capacity of a battery, which provides a good guarantee of safety and reliability of battery operation. It is difficult to get an accurate value of the SOC, being one of the inner states. In this paper, a strong tracking cubature Kalman filter (STCKF based on the cubature Kalman filter is presented to perform accurate and reliable SOC estimation. The STCKF algorithm can adjust gain matrix online by introducing fading factor to the state estimation covariance matrix. The typical second-order resistor-capacitor model is used as the battery’s equivalent circuit model to dynamically simulate characteristics of the battery. The exponential-function fitting method accomplishes the task of relevant parameters identification. Then, the developed STCKF algorithm has been introduced in detail and verified under different operation current profiles such as Dynamic Stress Test (DST and New European Driving Cycle (NEDC. Making a comparison with extended Kalman filter (EKF and CKF algorithm, the experimental results show the merits of the STCKF algorithm in SOC estimation accuracy and robustness.

  18. MICROALGAE BIOMASS PRODUCTION BASED ON WASTEWATER FROM DAIRY INDUSTRY

    Directory of Open Access Journals (Sweden)

    Marcin Dębowski

    2016-05-01

    Full Text Available The goal of this study was to determine the feasibility of culturing high-oil algae biomass based on wastewater from dairy processing plants. The experiments were conducted in laboratory scale with tubular photobioreactor using. The best technological properties were demonstrated for eluates from an anaerobic reactor treating dairy wastewater. The use of a substrate of this type yielded algae biomass concentration at a level of 3490 mg d.m./dm3, with the mean rate of algae biomass growth at 176 mg d.m./dm3∙d. The mean content of oil in the proliferated biomass of algae approximated 20%.

  19. Perceived sleep deficit is a strong predictor of RLS in multisite pain - A population based study in middle aged females.

    Science.gov (United States)

    Stehlik, Romana; Ulfberg, Jan; Zou, Ding; Hedner, Jan; Grote, Ludger

    2017-10-01

    Chronic pain conditions as well as Restless Legs Syndrome (RLS) are known to be associated with subjectively and objectively disturbed sleep. RLS has been recently described as highly prevalent in multisite pain and the role of sleep as a modifying factor in this RLS phenotype is unknown. This study aimed to investigate if perceived sleep deficit and other sleep related parameters predict RLS in subjects with multisite pain. We have recently demonstrated a strong association between Restless Legs Syndrome (RLS) and number of pain locations. In the current analysis we hypothesized that impaired sleep predicts RLS in subjects with multisite pain. Questionnaire-based data from 2727 randomly selected women aged 18-64 years were used to analyze RLS symptoms, self-reported sleep quality, and the degree of daytime sleepiness (Epworth Sleepiness Scale (ESS)) in relation to type, degree and localization of body pain. Potential confounders including anthropometrics, pain localization, co-morbidities, and medication were adjusted for in the Generalized Linear Models (GLM). Perceived sleep deficit ≥90min (OR 2.4 (1.5-3.8), pRLS in subjects with multisite pain. Additional factors include prolonged sleep latency (≥30min, OR 1.8 (1.1-2.8), p=0.01) and daytime symptoms like elevated daytime sleepiness (ESS score ≥9, OR 1.8 (1.2-2.7), p=0.005). Accordingly, RLS diagnosis was associated with impaired sleep quality (TST (Total Sleep Time) -8.2min, sleep latency +8.0min, and number of awakenings from sleep +0.4, pRLS diagnosis (+0.74, pRLS in multisite pain. Potential implication of our results are that clinical management programmes of RLS in subjects with multisite pain need to consider both sleep quality and sleep quantity for individually tailored treatment regimes. RLS, pain, and sleep disorders are highly interrelated. Our study strongly suggests that clinical management of RLS in patients with multisite pain needs to consider sleep quality as an independent risk factor

  20. Bio-based Industries Joint Undertaking: The catalyst for sustainable bio-based economic growth in Europe.

    Science.gov (United States)

    Mengal, Philippe; Wubbolts, Marcel; Zika, Eleni; Ruiz, Ana; Brigitta, Dieter; Pieniadz, Agata; Black, Sarah

    2018-01-25

    This article discusses the preparation, structure and objectives of the Bio-based Industries Joint Undertaking (BBI JU). BBI JU is a public-private partnership (PPP) between the European Commission (EC) and the Bio-based Industries Consortium (BIC), the industry-led private not-for-profit organisation representing the private sectors across the bio-based industries. The model of the public-private partnership has been successful as a new approach to supporting research and innovation and de-risking investment in Europe. The BBI JU became a reality in 2014 and represents the largest industrial and economic cooperation endeavour financially ever undertaken in Europe in the area of industrial biotechnologies. It is considered to be one of the most forward-looking initiatives under Horizon 2020 and demonstrates the circular economy in action. The BBI JU will be the catalyst for this strategy to mobilise actors across Europe including large industry, small and medium-sized enterprises (SMEs), all types of research organisations, networks and universities. It will support regions and in doing so, the European Union Member States and associated countries in the implementation of their bioeconomy strategies. Copyright © 2017 Elsevier B.V. All rights reserved.

  1. Assessment of industrial energy options based on coal and nuclear systems

    International Nuclear Information System (INIS)

    Anderson, T.D.; Bowers, H.I.; Bryan, R.H.; Delene, J.G.; Hise, E.C.; Jones, J.E. Jr.; Klepper, O.H.; Reed, S.A.; Spiewak, I.

    1975-07-01

    Industry consumes about 40 percent of the total primary energy used in the United States. Natural gas and oil, the major industrial fuels, are becoming scarce and expensive; therefore, there is a critical national need to develop alternative sources of industrial energy based on the more plentiful domestic fuels--coal and nuclear. This report gives the results of a comparative assessment of nuclear- and coal-based industrial energy systems which includes technical, environmental, economic, and resource aspects of industrial energy supply. The nuclear options examined were large commercial nuclear power plants (light-water reactors or high-temperature gas-cooled reactors) and a small [approximately 300-MW(t)] special-purpose pressurized-water reactor for industrial applications. Coal-based systems selected for study were those that appear capable of meeting environmental standards, especially with respect to sulfur dioxide; these are (1) conventional firing using either low- or high-sulfur coal with stack-gas scrubbing equipment, (2) fluidized-bed combustion using high-sulfur coal, (3) low- and intermediate-Btu gas, (4) high-Btu pipeline-quality gas, (5) solvent-refined coal, (6) liquid boiler fuels, and (7) methanol from coal. Results of the study indicated that both nuclear and coal fuel can alleviate the industrial energy deficit resulting from the decline in availability of natural gas and oil. However, because of its broader range of application and relative ease of implementation, coal is expected to be the more important substitute industrial fuel over the next 15 years. In the longer term, nuclear fuels could assume a major role for supplying industrial steam. (U.S.)

  2. Structural Decomposition Analysis of China’s Industrial Energy Consumption Based on Input-Output Analysis

    Science.gov (United States)

    Huang, X. Y.; Zhou, J. Q.; Wang, Z.; Deng, L. C.; Hong, S.

    2017-05-01

    China is now at a stage of accelerated industrialization and urbanization, with energy-intensive industries contributing a large proportion of economic growth. In this study, we examined industrial energy consumption by decomposition analysis to describe the driving factors of energy consumption in China. Based on input-output (I-O) tables from the World Input-Output Database (WIOD) website and China’s energy use data from 1995 to 2011, we studied the sectorial changes of energy efficiency during the examined period. The results showed that all industries increased their energy efficiency. Energy consumption was decomposed into three factors by the logarithmic mean Divisia index (LMDI) method. The increase in production output was the leading factor that drives up China’s energy consumption. World Trade Organization accession and financial crises had great impact on the energy consumption. Based on these results, a series of energy policy suggestions for decision-makers has been proposed.

  3. Investing In The Army Organic Industrial Base To Operate And Win In A Complex And Austere Environment

    Science.gov (United States)

    2016-05-26

    background of the industrial base beginning with the period before the American Revolution and concluding with World War II when the American industrial ...Investing in the Army Organic Industrial Base to Operate and Win in a Complex and...05-2016 Monograph nJN 2015 - MAY 2016 4. TITLE AND SUBTITLE Sa. CONTRACT NUMBER Investing in the Army Organic Industrial Base to Operate and Win in a

  4. Development Of Entrepreneur Learning Model Based On Problem Based Learning To Increase Competency Independence And Creativity Students Of Industrial Engineering

    Directory of Open Access Journals (Sweden)

    Leola Dewiyani

    2017-10-01

    Full Text Available Currently it is undeniable that the competition to get a job is very tight and of course universities have an important role in printing human resources that can compete globally not least with the Department of Industrial Engineering Faculty of Engineering Muhammadiyah University of Jakarta FT UMJ. Problems that occur is based on the analysis obtained from the track record of graduates researchers found that 60 percent of students of Industrial Engineering FT UMJ work not in accordance with the level of education owned so financially their income is still below the standard. This study aims to improve the competence of students of Industrial Engineering Department FT UMJ in entrepreneurship courses especially through the development of Problem Based Learning based learning model. Specific targets of this research were conducted with the aim to identify and analyze the need to implement learning model based on Problem Based Learning Entrepreneurship and to design and develop the model of entrepreneurship based on Problem Based Learning to improve the competence independence and creativity of Industrial Engineering students of FT UMJ in Entrepreneurship course. To achieve the above objectives this research uses research and development R amp D method. The product produced in this research is the detail of learning model of entrepreneurial model based on Problem Based Learning entrepreneurship model based on Problem Based Learning and international journals

  5. The electrical properties of a strongly disordered system based on lightly doped germanium compensated by disordered regions

    International Nuclear Information System (INIS)

    Evseev, V.A.; Konopleva, R.F.; Yuferev, A.A.

    1976-01-01

    A study was made of lightly doped (Nsub(Sb) approximately 10 15 cm -3 ) n-Ge, heavily compensated (K = Nsub(A)/N sub(D) approximately 1) by fast neutrons from a reactor. Irradiation is shown to produce, near n-p conversion (annealing has the same effect near p-n conversion), a random relief of electrostatic potential which is caused by the overlap of the space-charge regions surrounding disordered regions (DR). the random potential field results in a spatial 'bending' of the whole band spectrum of germanium, similar to the way it is observed in amorphous semiconductors because of their disorder. Experiments show the conduction in the DR overlap region to be of an activated nature, associated with the ejection of carriers to the corresponding 'percolation' levels. The activation energy of such conduction varies with the degree of compensation. The shift of the Fermi level depends on the degree of compensation here in a much more sensitive way than in the case of compensation by chemical impurities. The properties of Ge obtained by DR overlap and by compensation with chemical impurities are compared. A superlinear I-V characteristic producing the switching effect is observed in strong electric fields (E approximately 10 3 V cm -1 ). A suggestion is made that a study of disordered systems, based on lightly doped germanium which is compensated with DRs produced by high-energy particles, should both help to obtain new information on the parameters of the DRs proper and help to simulate the properties of the amorphous semiconductors. (author)

  6. Study on Logistics Industry Development Policy of Beijing Based on System Dynamic

    Directory of Open Access Journals (Sweden)

    Shuihai Dou

    2014-05-01

    Full Text Available Purpose: This paper is committed to design a logistics industry development policy model based on system dynamic to simulate the policy measures which promote region economic and logistics efficiency. The interaction between logistic industry development policy and economy needs to be investigated and the influence degree of logistic efficiency affected by industry policy needs to be identified too. Design/methodology/approach: In order to achieve the objective, it makes a system analysis from industry perspective to divide system into economic growth subsystem, logistics demand subsystem and logistics supply subsystem. Then the hypothesis and the boundaries are defined, and the causal diagram and system flow diagrams are drawn. The paper designs parameters and structural equation by the sample of Beijing using the econometrics model and takes model validation. Taking Beijing as an example, logistics industry development policy is simulated from the aspect of technological progress, increasing fixed assets investment, adjusting the industrial structure proportion and comprehensive policy by changing the parameters using Vensim-PLE. Findings?After logistics development policy is highly simulated by system dynamic model of logistics industry development policy, it is found that the policies of technological progress, fixed assets investment increasing, the industrial structure proportion adjustment and the comprehensive policy have different function to affect GDP, logistics demand, supply capacity and actual logistics costs. Originality/value: Compared with the previous research, this paper analyzes the interactive mechanism between logistics industry policy and region economy from a system perspective and establishes system dynamics model of logistics industry development policy to make up for the limitation of previous research.

  7. Data-driven fault detection for industrial processes canonical correlation analysis and projection based methods

    CERN Document Server

    Chen, Zhiwen

    2017-01-01

    Zhiwen Chen aims to develop advanced fault detection (FD) methods for the monitoring of industrial processes. With the ever increasing demands on reliability and safety in industrial processes, fault detection has become an important issue. Although the model-based fault detection theory has been well studied in the past decades, its applications are limited to large-scale industrial processes because it is difficult to build accurate models. Furthermore, motivated by the limitations of existing data-driven FD methods, novel canonical correlation analysis (CCA) and projection-based methods are proposed from the perspectives of process input and output data, less engineering effort and wide application scope. For performance evaluation of FD methods, a new index is also developed. Contents A New Index for Performance Evaluation of FD Methods CCA-based FD Method for the Monitoring of Stationary Processes Projection-based FD Method for the Monitoring of Dynamic Processes Benchmark Study and Real-Time Implementat...

  8. National symposium on raw materials and energy management of mineral based industries

    International Nuclear Information System (INIS)

    2009-09-01

    Mineral Resources are very essential for industrialization and hence facilitating socioeconomic developments. Resources like coal, iron ore, Bauxite, chromite, limestone, ilmenite and many other ores and minerals are the raw materials for development of various thermal, metallurgical, chemical and refractory industries. The mineral resources are being harnessed from their respective mines and the mining industries have expanded rapidly to meet their growing demands of various 'mineral based industries. The energy and reductants required for these industries are met from both - coking and non coking coal. Nearly 70% of the energy requirement of India is met from coal. In recent years, with the increasing demand of metals, alloys, refractories and thermal energy, most of the high-grade ores and minerals have been consumed. Unfortunately most of the low grade ores and minerals are left at the mine sites as wastes. As a matter of fact, these low grade ores are much larger in quantities compared to the high grade ones. Therefore, it has been essential to mine and beneficiate the low grade ores which can be suitably-utilized in the respective industries. It has also been necessary to develop more efficient technology to utilize these raw materials more effectively producing minimum amount of wastes and also conserving the energy resources as far as possible. Time has come to develop environment friendly most suitable technology to utilize all types of low grade and complex ores and minerals in order to meet the requirements of rapidly expanding mineral based industries of India. Unless effective programmes are made in this regard and implement those in time, India is bound to face a disastrous situation both in industrial and economic sectors. The conference is organised keeping these in view to take a stock of new and economically viable processes for mining and beneficiating low and complex ores and minerals and utilizing these judiciously in the industries. Papers

  9. FPGA-based fused smart sensor for dynamic and vibration parameter extraction in industrial robot links.

    Science.gov (United States)

    Rodriguez-Donate, Carlos; Morales-Velazquez, Luis; Osornio-Rios, Roque Alfredo; Herrera-Ruiz, Gilberto; de Jesus Romero-Troncoso, Rene

    2010-01-01

    Intelligent robotics demands the integration of smart sensors that allow the controller to efficiently measure physical quantities. Industrial manipulator robots require a constant monitoring of several parameters such as motion dynamics, inclination, and vibration. This work presents a novel smart sensor to estimate motion dynamics, inclination, and vibration parameters on industrial manipulator robot links based on two primary sensors: an encoder and a triaxial accelerometer. The proposed smart sensor implements a new methodology based on an oversampling technique, averaging decimation filters, FIR filters, finite differences and linear interpolation to estimate the interest parameters, which are computed online utilizing digital hardware signal processing based on field programmable gate arrays (FPGA).

  10. FPGA-Based Fused Smart Sensor for Dynamic and Vibration Parameter Extraction in Industrial Robot Links

    Directory of Open Access Journals (Sweden)

    Rene de Jesus Romero-Troncoso

    2010-04-01

    Full Text Available Intelligent robotics demands the integration of smart sensors that allow the controller to efficiently measure physical quantities. Industrial manipulator robots require a constant monitoring of several parameters such as motion dynamics, inclination, and vibration. This work presents a novel smart sensor to estimate motion dynamics, inclination, and vibration parameters on industrial manipulator robot links based on two primary sensors: an encoder and a triaxial accelerometer. The proposed smart sensor implements a new methodology based on an oversampling technique, averaging decimation filters, FIR filters, finite differences and linear interpolation to estimate the interest parameters, which are computed online utilizing digital hardware signal processing based on field programmable gate arrays (FPGA.

  11. FPGA-Based Fused Smart Sensor for Dynamic and Vibration Parameter Extraction in Industrial Robot Links

    Science.gov (United States)

    Rodriguez-Donate, Carlos; Morales-Velazquez, Luis; Osornio-Rios, Roque Alfredo; Herrera-Ruiz, Gilberto; de Jesus Romero-Troncoso, Rene

    2010-01-01

    Intelligent robotics demands the integration of smart sensors that allow the controller to efficiently measure physical quantities. Industrial manipulator robots require a constant monitoring of several parameters such as motion dynamics, inclination, and vibration. This work presents a novel smart sensor to estimate motion dynamics, inclination, and vibration parameters on industrial manipulator robot links based on two primary sensors: an encoder and a triaxial accelerometer. The proposed smart sensor implements a new methodology based on an oversampling technique, averaging decimation filters, FIR filters, finite differences and linear interpolation to estimate the interest parameters, which are computed online utilizing digital hardware signal processing based on field programmable gate arrays (FPGA). PMID:22319345

  12. Output-based allocation as a form of protection for internationally competitive industries

    International Nuclear Information System (INIS)

    Haites, Erik

    2003-12-01

    Policies adopted by Annex B Parties to reduce their greenhouse gas (GHG) emissions are likely to increase costs for industries vulnerable to international competition in domestic or export markets. Domestic emissions trading, by enabling the aggregate emissions target to be met at least cost, helps to reduce the adverse impacts on these industries. An output-based allocation of allowances reduces the output decline due to imposition of the emissions trading program relative to a lump-sum (historic) allocation and so helps reduce the adverse impacts on these industries. The effectiveness of an output-based allocation in maintaining production must be assessed empirically because it depends on the characteristics of all of the firms covered by the trading program as well as other factors. Modeling results for a possible emissions trading program for Alberta confirm the expected impacts of an output-based allocation and indicate that the effectiveness varies across industries. While encouraging greater production, an output-based allocation lowers profits relative to a lump-sum allocation and leads to a different distribution of costs. Other policy options for reducing the output decline in industries vulnerable to international competition include lump-sum allocations or auctioned allowances combined with assistance programs for emission reduction actions or a requirement to meet 'world best' emission performance standard. These policy options should be compared with an output-based allocation in terms of effectiveness, total cost and other impacts, before a policy is adopted

  13. Energy efficiency in the industrial sector. Model based analysis of the efficient use of energy in the EU-27 with focus on the industrial sector

    International Nuclear Information System (INIS)

    Kuder, Ralf

    2014-01-01

    Energy efficiency is a highly important topic and currently omnipresent in the energy political discussion. Despite this high importance there's no common understanding even concerning the definition of the term energy efficiency. In addition, there are plenty so called energy efficiency targets and several indicators. Therefore this study should provide a deepened understanding of the efficient use of energy. The inconsistent definition of energy efficiency is related to the use of this term for a specific as well as an absolute reduction of energy consumption. Furthermore both static views on efficiency as a status and also dynamic views on efficiency as an improvement of a value compared to a reference number are used. Additional differences occur in the evaluation of the energy use and in the selection of a reference value in a key figure to assess energy efficiency. Moreover the focus of the current general understanding is mainly only on the consumption of energy. All other resources next to the energy input which are needed to provide energy services are not considered even though there are strong interactions and substitution possibilities among these resources. Hence the understanding of energy efficiency is extended in this study by these additional resources which were not considered yet. Based on this extension the efficient use of the resource energy is a result of an optimisation of the relation of these total costs of all resources to the related benefit. To determine the efficient use of energy in the industrial sector, a deeper understanding of the sector and its characteristics is necessary. The industrial sector is the largest consumer of electricity within the EU. Also a quarter of the final energy consumption and about 20 % of the CO 2 emissions are related to this sector. Typical for this sector are the heterogeneous and high temperature level of the heat demand and the process emissions which accrue in transformation processes. The subsectors

  14. Business and Industry Project-Based Capstone Courses: Selecting Projects and Assessing Learning Outcomes

    Science.gov (United States)

    Maleki, Reza A.

    2009-01-01

    This is the first of two articles in which the author shares experiences gained from the development and delivery of a business/industry project-based capstone course. The course integrates research, proposal development and design experience based on knowledge and skills acquired in earlier coursework. The course also incorporates standards and…

  15. Business and Industry Project-Based Capstone Courses: A Reflection on the Performance of Student Teams

    Science.gov (United States)

    Maleki, Reza A.

    2009-01-01

    This is the second of two articles in which the author shares experiences gained from the development and delivery of a business/industry project-based capstone course. The course integrates research, proposal development and design experience based on knowledge and skills acquired in earlier coursework. It also incorporates standards and…

  16. Defense Industrial Base: Critical Infrastructure and Key Resources Sector-Specific Plan as Input to the National Infrastructure Protection Plan

    National Research Council Canada - National Science Library

    2007-01-01

    This Defense Industrial Base (DIB) Sector-Specific Plan (SSP), developed in collaboration with industry and government security partners, provides sector-level critical infrastructure and key resources (CI/KR...

  17. [Technology-based emission inventory of particulate matters (PM) from cement industry].

    Science.gov (United States)

    Lei, Yu; He, Ke-bin; Zhang, Qiang; Liu, Zuo-yi

    2008-08-01

    A bottom-up PM emission model was developed based on the production technologies and PM emission control devices in Chinese cement industry. Through analyzing the historical distribution of technologies in cement producing and the impact of standards on PM emission control from cement industry, emission factors of cement industry in China during 1990-2004 were generated by this technology-based model, and emission inventories were developed thereby. Emission factor decreased from 27.9 kg x t(-1) cement in 1990 to 8.05 kg x t(-1) cement in 2004. Emissions of PM from cement industry in China reached the peak value in 1997, with 1044 x 10(4) t of TSP, 716 x 10(4) t of PM10, 436 x 10(4) t of PM2.5 emitted, then decreased until 2001, and increased slowly again during 2001-2004. The distribution of PM emissions among provinces is uneven. Shandong, Guangdong, Hebei, Jiangsu, Zhejiang, and Henan contribute more than 50% of emissions of China. Rapid spread of pre-calcining kilns in China and implementation of Emission Standard of Air Pollutants for Cement Industry in 2004 will probably decrease PM emissions from cement industry to a large extent, leading to obvious variation on PM pollution characteristics in China.

  18. Detecting and Identifying Industrial Gases by a Method Based on Olfactory Machine at Different Concentrations

    Directory of Open Access Journals (Sweden)

    Yunlong Sun

    2018-01-01

    Full Text Available Gas sensors have been widely reported for industrial gas detection and monitoring. However, the rapid detection and identification of industrial gases are still a challenge. In this work, we measure four typical industrial gases including CO2, CH4, NH3, and volatile organic compounds (VOCs based on electronic nose (EN at different concentrations. To solve the problem of effective classification and identification of different industrial gases, we propose an algorithm based on the selective local linear embedding (SLLE to reduce the dimensionality and extract the features of high-dimensional data. Combining the Euclidean distance (ED formula with the proposed algorithm, we can achieve better classification and identification of four kinds of gases. We compared the classification and recognition results of classical principal component analysis (PCA, linear discriminate analysis (LDA, and PCA + LDA algorithms with the proposed SLLE algorithm after selecting the original data and performing feature extraction. The experimental results show that the recognition accuracy rate of the SLLE reaches 91.36%, which is better than the other three algorithms. In addition, the SLLE algorithm provides more efficient and accurate responses to high-dimensional industrial gas data. It can be used in real-time industrial gas detection and monitoring combined with gas sensor networks.

  19. Market-based implementation of Kyoto commitments: how the financial/insurance sector can support industry

    International Nuclear Information System (INIS)

    Knoepfel, Ivo

    1999-01-01

    The implementation of the Kyoto Protocol in the context of the Framework Convention on Climate Change will probably lead to economic winners and losers in various sectors of the economy. Especially carbon intensive industries will need to develop hedging strategies to prevent potential negative effects and to optimise market opportunities. Such strategies can be based on technological innovation, market and product diversification, and on financial/legal offsets. The Kyoto Protocol has introduced new market-based instruments, which can, in a near future provide such hedging opportunities. These include joint implementation, the so-called clean development mechanism, and international emissions trading. The financial services and insurance sector are the natural partners of industry in designing tailored hedging strategies. It is recommended that industry, financial services and insurance companies take a more proactive role in further developing the market-based instruments established by the Kyoto Protocol. (Author)

  20. An assembly system based on industrial robot with binocular stereo vision

    Science.gov (United States)

    Tang, Hong; Xiao, Nanfeng

    2017-01-01

    This paper proposes an electronic part and component assembly system based on an industrial robot with binocular stereo vision. Firstly, binocular stereo vision with a visual attention mechanism model is used to get quickly the image regions which contain the electronic parts and components. Secondly, a deep neural network is adopted to recognize the features of the electronic parts and components. Thirdly, in order to control the end-effector of the industrial robot to grasp the electronic parts and components, a genetic algorithm (GA) is proposed to compute the transition matrix and the inverse kinematics of the industrial robot (end-effector), which plays a key role in bridging the binocular stereo vision and the industrial robot. Finally, the proposed assembly system is tested in LED component assembly experiments, and the results denote that it has high efficiency and good applicability.

  1. Availability and conversion to energy potentials of wood-based industry residues in Cameroon

    International Nuclear Information System (INIS)

    Simo, A.; Siyam Siew, S.

    2000-01-01

    The importance of biomass as the most accessible primary energy source in Cameroon is presented. The valorization of wood wastes and residues is seen as a way of implementing the sustainable use of biomass resources. A recent survey of wood-based industries in Cameroon reveals that large volumes of industrial wood residues are generated in the rain forest areas and are inefficiently used. Important quantities are lost in the form of burning in the four main forestry provinces, while other parts of the country suffer from fuelwood shortage. With the exception of the plywood factories, the wood industry is essentially dependent on commercial energy. An analysis made to show the economic and environmental benefits of converting wood residues to energy for industrial and domestic use is presented. (author)

  2. Biorefinery approach for cassava-based industrial wastes: Current status and opportunities.

    Science.gov (United States)

    Zhang, Ming; Xie, Li; Yin, Zhixuan; Khanal, Samir Kumar; Zhou, Qi

    2016-09-01

    Cassava, an important food crop, has been extensively employed as raw materials for various agri-industries to produce starch, bioethanol and other biobased products/chemicals. These cassava-based industries also generate large quantities of wastes/residues, rich in organic matter and suspended solids, and pose significant environmental issues. Their complex biochemical composition with high organic content endows them with a great potential for bioconversion into value-added products via biorefinery thereby providing economic and environmental sustainability to cassava industries. This state-of-the-art review covers the source, composition and characteristics of cassava industrial wastes and residues, and their bioconversion into value-added products, mainly biofuels (ethanol and butanol), biogas, biosurfactant, organic acids and other valuable biochemicals among others. This paper also outlines future perspectives with respect to developing more effective and efficient bioconversion processes for converting the cassava wastes and residues into high-value products. Copyright © 2016 Elsevier Ltd. All rights reserved.

  3. [Establishment of industry promotion technology system in Chinese medicine secondary exploitation based on "component structure theory"].

    Science.gov (United States)

    Cheng, Xu-Dong; Feng, Liang; Zhang, Ming-Hua; Gu, Jun-Fei; Jia, Xiao-Bin

    2014-10-01

    The purpose of the secondary exploitation of Chinese medicine is to improve the quality of Chinese medicine products, enhance core competitiveness, for better use in clinical practice, and more effectively solve the patient suffering. Herbs, extraction, separation, refreshing, preparation and quality control are all involved in the industry promotion of Chinese medicine secondary exploitation of industrial production. The Chinese medicine quality improvement and industry promotion could be realized with the whole process of process optimization, quality control, overall processes improvement. Based on the "component structure theory", "multi-dimensional structure & process dynamic quality control system" and systematic and holistic character of Chinese medicine, impacts of whole process were discussed. Technology systems of Chinese medicine industry promotion was built to provide theoretical basis for improving the quality and efficacy of the secondary development of traditional Chinese medicine products.

  4. Automation Architecture based on Cyber Physical Systems for Flexible Manufacturing within Oil&Gas Industry

    Directory of Open Access Journals (Sweden)

    Marcelo V García

    2018-03-01

    Full Text Available It is clear that in the next few years most of the technologies involved in the so-called Industry 4.0 will have a deep impact on manufacturing companies, including those related to Oil & Gas exploration and production. Low cost automation promotes reference architectures and development approaches aiming at increasing the flexibility and efficiency of production operations in industrial plants. In this sense, OPC UA, in addition to allowing companies to join the Industry 4.0 initiative, provides local and remote access to plant information, enabling a recognized mechanism for both, horizontal and vertical integration in a reliable, safe and efficient way. The contribution of this article is an open architecture for vertical integration based on cyber-physical production systems, configured under IEC 61499 and using OPC UA, suitable to achieve flexible manufacturing within Oil & Gas industry.

  5. PREFACE: Strongly correlated electron systems Strongly correlated electron systems

    Science.gov (United States)

    Saxena, Siddharth S.; Littlewood, P. B.

    2012-07-01

    This special section is dedicated to the Strongly Correlated Electron Systems Conference (SCES) 2011, which was held from 29 August-3 September 2011, in Cambridge, UK. SCES'2011 is dedicated to 100 years of superconductivity and covers a range of topics in the area of strongly correlated systems. The correlated electronic and magnetic materials featured include f-electron based heavy fermion intermetallics and d-electron based transition metal compounds. The selected papers derived from invited presentations seek to deepen our understanding of the rich physical phenomena that arise from correlation effects. The focus is on quantum phase transitions, non-Fermi liquid phenomena, quantum magnetism, unconventional superconductivity and metal-insulator transitions. Both experimental and theoretical work is presented. Based on fundamental advances in the understanding of electronic materials, much of 20th century materials physics was driven by miniaturisation and integration in the electronics industry to the current generation of nanometre scale devices. The achievements of this industry have brought unprecedented advances to society and well-being, and no doubt there is much further to go—note that this progress is founded on investments and studies in the fundamentals of condensed matter physics from more than 50 years ago. Nevertheless, the defining challenges for the 21st century will lie in the discovery in science, and deployment through engineering, of technologies that can deliver the scale needed to have an impact on the sustainability agenda. Thus the big developments in nanotechnology may lie not in the pursuit of yet smaller transistors, but in the design of new structures that can revolutionise the performance of solar cells, batteries, fuel cells, light-weight structural materials, refrigeration, water purification, etc. The science presented in the papers of this special section also highlights the underlying interest in energy-dense materials, which

  6. Industrial CO2 emissions in China based on the hypothetical extraction method: Linkage analysis

    International Nuclear Information System (INIS)

    Wang, Yuan; Wang, Wenqin; Mao, Guozhu; Cai, Hua; Zuo, Jian; Wang, Lili; Zhao, Peng

    2013-01-01

    Fossil fuel-related CO 2 emissions are regarded as the primary sources of global climate change. Unlike direct CO 2 emissions for each sector, CO 2 emissions associated with complex linkages among sectors are usually ignored. We integrated the input–output analysis with the hypothetical extraction method to uncover the in-depth characteristics of the inter-sectoral linkages of CO 2 emissions. Based on China's 2007 data, this paper compared the output and demand emissions of CO 2 among eight blocks. The difference between the demand and output emissions of a block indicates that CO 2 is transferred from one block to another. Among the sectors analyzed in this study, the Energy industry block has the greatest CO 2 emissions with the Technology industry, Construction and Service blocks as its emission's primary destinations. Low-carbon industries that have lower direct CO 2 emissions are deeply anchored to high-carbon ones. If no effective measures are taken to limit final demand emissions or adjust energy structure, shifting to an economy that is low-carbon industries oriented would entail a decrease in CO 2 emission intensity per unit GDP but an increase in overall CO 2 emissions in absolute terms. The results are discussed in the context of climate-change policy. - Highlights: • Quantitatively analyze the characteristics of inter-industrial CO 2 emission linkages. • Propose the linkage measuring method of CO 2 emissions based on the modified HEM. • Detect the energy industry is a key sector on the output of embodied carbon. • Conclude that low-carbon industries are deeply anchored to high-carbon industries

  7. Potential for energy efficiency in the Norwegian land-based industry; Potensial for energieffektivisering i norsk landbasert industri

    Energy Technology Data Exchange (ETDEWEB)

    2009-07-01

    Process Industry Association (PIL, now the Federation of Norwegian Industries) conducted in collaboration with Enova SF, Kjelforeningen - Norwegian Energy and Institute for Energy Technology, in 2002 a study to determine the potential for more environmentally efficient energy use and production in the Norwegian process industry. It was in 2007 conducted a review of the 2002-study, and this work showed that large parts of the potential identified in 2002 were not realized, and that in addition there was further potential. Enova therefore took the initiative in 2009 to do a new review of the potential for energy efficiency in the Norwegian industry. (AG)

  8. International Data Base for the U.S. Renewable Energy Industry

    Energy Technology Data Exchange (ETDEWEB)

    none

    1986-05-01

    The International Data Base for the US Renewable Energy Industry was developed to provide the US renewable energy industry with background data for identifying and analyzing promising foreign market opportunities for their products and services. Specifically, the data base provides the following information for 161 developed and developing countries: (1) General Country Data--consisting of general energy indicators; (2) Energy Demand Data--covering commercial primary energy consumption; (3) Energy Resource Data--identifying annual average insolation, wind power, and river flow data; (4) Power System Data--indicating a wide range of electrical parameters; and (5) Business Data--including currency and credit worthiness data.

  9. Effects of reactive filters based on modified zeolite in dairy industry wastewater treatment process

    Directory of Open Access Journals (Sweden)

    Kolaković Srđan

    2013-01-01

    Full Text Available Application of adsorbents based on organo-zeolites has certain advantages over conventional methods applied in food industry wastewater treatment process. The case study presented in this paper examines the possibilities and effects of treatment of dairy industry wastewater by using adsorbents based on organo-zeolites. The obtained results indicate favorable filtration properties of organo-zeolite, their high level of adsorption of organic matter and nitrate nitrogen in the analyzed wastewater. This paper concludes with recommendations of optimal technical and technological parameters for the application of these filters in practice.

  10. IoT-based Asset Management System for Healthcare-related Industries

    Directory of Open Access Journals (Sweden)

    Lee Carman Ka Man

    2015-11-01

    Full Text Available The healthcare industry has been focusing efforts on optimizing inventory management procedures through the incorporation of Information and Communication Technology, in the form of tracking devices and data mining, to establish ideal inventory models. In this paper, a roadmap is developed towards a technological assessment of the Internet of Things (IoT in the healthcare industry, 2010–2020. According to the roadmap, an IoT-based healthcare asset management system (IoT-HAMS is proposed and developed based on Artificial Neural Network (ANN and Fuzzy Logic (FL, incorporating IoT technologies for asset management to optimize the supply of resources.

  11. Quantitative physicochemical analysis of acid-base balance and clinical utility of anion gap and strong ion gap in 806 neonatal calves with diarrhea.

    Science.gov (United States)

    Trefz, F M; Constable, P D; Lorenz, I

    2015-01-01

    Acid-base abnormalities in neonatal diarrheic calves can be assessed by using the Henderson-Hasselbalch equation or the simplified strong ion approach which use the anion gap (AG) or the strong ion gap (SIG) to quantify the concentration of unmeasured strong anions such as D-lactate. To determine and compare the clinical utility of AG and SIG in quantifying the unmeasured strong anion charge in neonatal diarrheic calves, and to examine the associations between biochemical findings and acid-base variables by using the simplified strong ion approach. We hypothesized that the SIG provides a more accurate prediction of unmeasured strong anions than the AG. Eight hundred and six neonatal diarrheic calves admitted to a veterinary teaching hospital. Retrospective study utilizing clinicopathologic findings extracted from medical records. Hyperphosphatemia was an important predictor of venous blood pH. Serum inorganic phosphorus and plasma D-lactate concentrations accounted for 58% of the variation in venous blood pH and 77% of the variation in AG and SIG. Plasma D- and total lactate concentrations were slightly better correlated with SIG (rs = -0.69; -0.78) than to AG (rs = 0.63; 0.74). Strong ion gap is slightly better at quantifying the unmeasured strong anion concentration in neonatal diarrheic calves than AG. Phosphorus concentrations should be included as part of the calculation of Atot when applying the simplified strong ion approach to acid-base balance to critically ill animals with hyperphosphatemia. Copyright © 2015 The Authors. Journal of Veterinary Internal Medicine published by Wiley Periodicals, Inc. on behalf of the American College of Veterinary Internal Medicine.

  12. Industry and Consumers Awareness for Effective Management of Functional Animal-based Foods in South Korea.

    Science.gov (United States)

    Wi, Seo-Hyun; Park, Jung-Min; Wee, Sung-Hwan; Park, Jae-Woo; Kim, Jin-Man

    2013-12-01

    In recent years, manufacturers of animal-based foods with health claims have encountered difficulties in the labeling of their products because of a lack of regulation on defining the functionality of animal-based foods. Therefore, this study was conducted to establish the basic requirements for the development of a definition for functional animal-based foods by investigating consumer and industry awareness. Survey data were collected from 114 industry representatives and 1,100 consumers. The questions of the survey included items on production status and future production plans, functionality labeling, promotion plans, establishment of definition, the role of the government, consumer perception, and selection of products. The results show that both industry representatives and consumers believe that legislation and the provision of scientific evidence should be improved for the development of a functional animal-based foods market. The results obtained from this study will contribute to consumer trust by supplying correct information and can be utilized in the industry as basic data for the development of functional animal-based food products.

  13. Evaluating Pillar Industry's Transformation Capability: A Case Study of Two Chinese Steel-Based Cities.

    Science.gov (United States)

    Li, Zhidong; Marinova, Dora; Guo, Xiumei; Gao, Yuan

    2015-01-01

    Many steel-based cities in China were established between the 1950s and 1960s. After more than half a century of development and boom, these cities are starting to decline and industrial transformation is urgently needed. This paper focuses on evaluating the transformation capability of resource-based cities building an evaluation model. Using Text Mining and the Document Explorer technique as a way of extracting text features, the 200 most frequently used words are derived from 100 publications related to steel- and other resource-based cities. The Expert Evaluation Method (EEM) and Analytic Hierarchy Process (AHP) techniques are then applied to select 53 indicators, determine their weights and establish an index system for evaluating the transformation capability of the pillar industry of China's steel-based cities. Using real data and expert reviews, the improved Fuzzy Relation Matrix (FRM) method is applied to two case studies in China, namely Panzhihua and Daye, and the evaluation model is developed using Fuzzy Comprehensive Evaluation (FCE). The cities' abilities to carry out industrial transformation are evaluated with concerns expressed for the case of Daye. The findings have policy implications for the potential and required industrial transformation in the two selected cities and other resource-based towns.

  14. A novel image processing-based system for turbidity measurement in domestic and industrial wastewater.

    Science.gov (United States)

    Mullins, Darragh; Coburn, Derek; Hannon, Louise; Jones, Edward; Clifford, Eoghan; Glavin, Martin

    2018-03-01

    Wastewater treatment facilities are continually challenged to meet both environmental regulations and reduce running costs (particularly energy and staffing costs). Improving the efficiency of operational monitoring at wastewater treatment plants (WWTPs) requires the development and implementation of appropriate performance metrics; particularly those that are easily measured, strongly correlate to WWTP performance, and can be easily automated, with a minimal amount of maintenance or intervention by human operators. Turbidity is the measure of the relative clarity of a fluid. It is an expression of the optical property that causes light to be scattered and absorbed by fine particles in suspension (rather than transmitted with no change in direction or flux level through a fluid sample). In wastewater treatment, turbidity is often used as an indicator of effluent quality, rather than an absolute performance metric, although correlations have been found between turbidity and suspended solids. Existing laboratory-based methods to measure turbidity for WWTPs, while relatively simple, require human intervention and are labour intensive. Automated systems for on-site measuring of wastewater effluent turbidity are not commonly used, while those present are largely based on submerged sensors that require regular cleaning and calibration due to fouling from particulate matter in fluids. This paper presents a novel, automated system for estimating fluid turbidity. Effluent samples are imaged such that the light absorption characteristic is highlighted as a function of fluid depth, and computer vision processing techniques are used to quantify this characteristic. Results from the proposed system were compared with results from established laboratory-based methods and were found to be comparable. Tests were conducted using both synthetic dairy wastewater and effluent from multiple WWTPs, both municipal and industrial. This system has an advantage over current methods as it

  15. THE CONCEPT OF REFORMING THE HEALTHCARE INDUSTRY USING A PROJECT-BASED APPROACH

    Directory of Open Access Journals (Sweden)

    Владлен Володимирович ЛЕПСЬКИЙ

    2016-03-01

    Full Text Available The strategic goal of the state policy in the field of health Ukraine is to improve human health through providing the population with affordable and quality health care, and the development of a healthy lifestyle and expansion of preventive measures. The main problem with the current health system is called the low level of public health services. So, it is necessary to use modern innovation management technology to reform the healthcare industry. The author is invited to consider the applicability of strategic management to the management of the healthcare industry reforms through the application of innovative medical technologies and management, focusing on the development of innovations in the industry, as improving the existing health care system, and developing projects to reform and the creation of new approaches based on project management tools. The necessity of the organization of the healthcare industry focused on the development of innovations in the field of health and improvement of existing processes has been proved. A new look at the planning and implementation of Ukraine healthcare industry reforms through the integration strategic and project management has been proposed. It is shown how can be related vision, mission, goals and relevant reform programs. Further studies will be subject to the classification of projects that constitute the program, development structure programs and portfolios of projects, implementation of which will achieve the strategic goals of reforming the industry

  16. On sustainable development of uranium mining industry in China based on the concept of ecological security

    International Nuclear Information System (INIS)

    Wu Shali; Tai Kaixuan

    2011-01-01

    Ecological security is an important issue for sustainable development of mining industry, on which the development of nuclear industry and nuclear power is based. But uranium mining and processing has larger effect on ecological environment which mainly include tailings, waste rock, waste water, and radiation effects. In this paper, the dialectical relationship between ecological security and sustainable relationship is analyzed, the ecological safety concept at home and abroad is compared and the role that ecological safety plays in the sustainable development of uranium mining based on analysis of restricting factors on uranium mining in China from the perspective of ecological security is also probed into. To achieve sustainable development of the uranium mining industry in China, an ecological security concept from four aspects must be established: 1) the concept of ecological security management; 2) the scientific concept of ecological security; 3) the concept of ecological security investment; and 4) the concept of ecological security responsibility. (authors)

  17. The Relationship between Time Based Management towards Manufacturing Capabilities: Investigating in Malaysian Manufacturing Industries

    Directory of Open Access Journals (Sweden)

    Bin Amlus Mohammad Harith

    2018-01-01

    Full Text Available Towards Industry 4.0, Malaysian Manufacturing Firms need to identify back their manufacturing capabilities especially to increase the performance and profit. This research is conducted to identify the role of manufacturing practices towards manufacturing capabilities. From this information it can provide valuable ingredients for companies in sustainable their operation. The identified factor of manufacturing practices is time based management and the dependent variables is manufacturing capabilities(focusing on agility. Through the survey, a total of 119 firms representing various industries in Northern Region of Malaysia had responded. The hypotheses involved were tested using correlation and regression techniques. The results of the study support the hypotheses. The multiple regression analysis indicates that there are significant relationships among this role on manufacturing capabilities. It is believed that results of this study will be beneficial to the top management of Malaysian manufacturing industries to focus on tim e based management and agility to increase the manufacturing capabilities.

  18. KBTAC: EPRI's center to assist the nuclear industry to apply the knowledge-based technology

    International Nuclear Information System (INIS)

    Lin, Chinglu; Naser, J.A.; Sun, B.K.H.

    1993-01-01

    The nuclear utility industry's complex engineering and procedure systems offer many opportunities for use of the knowledge-based technology such as expert systems and neural networks. The ability of expert systems to enhance human experts makes them an important tool in the areas of engineering, operations and maintenance. However, many current industry applications are research projects or turnkey systems supplied by vendors. These often do not impart to utility technical staff a clear understanding of the capabilities of knowledge-based systems (KBS). More importantly, simply using completed applications does not meet utilities' need to acquire the capabilities to build their own knowledge-based systems. Thus, EPRI is supporting its member utilities utilization of knowledge-based technology for power plant engineering, operations, and maintenance applications through the establishment of the Knowledge-Based Technology Application Center (KBTAC)

  19. Industrial noise pollution and its impacts on workers in the textile based cottage industries: an empirical study

    International Nuclear Information System (INIS)

    Abbasi, A.A.; Marri, H.B.; Nebhwani, M.

    2011-01-01

    This study includes the research work which was carried out to investigate the range of difficulties faced by the workers and its effects on them while working in textile based cottage industries along with their causes. This research provides necessary tip-offs to solve those problems in a systematic way. Therefore, it was considered to know the number of machines (looms) operated by one worker, number of machines in one unit and number of operators in one unit. The minimum and maximum noise levels were recorded by using digital sound level meter to compute average noise level/ unit. To identify the health problems like respiratory, hearing/listening, irritation, heart/BP, annoyance and headache faced by the workers, the survey was conducted. In present research work the minimum noise recorded was 101.6dB (A) and maximum as 1 09.8< dB (A), which was compared with OSHA and WHO (World Health Organization) standards. Result of this study shows that due to high intensity of noise generated by looms and dusts at work places, workers were facing the mental and physical problems. (author)

  20. Industrial Noise Pollution and its Impacts on Workers in the Textile Based Cottage Industries: An Empirical Study

    Directory of Open Access Journals (Sweden)

    Aitbar Ali Abbasi

    2011-01-01

    Full Text Available This study includes the research work which was carried out to investigate the range of difficulties faced by the workers and its effects on them while working in textile based cottage industries along with their causes. This research provides necessary tip-offs to solve those problems in a systematic way. Therefore, it was considered to know the number of machines (looms operated by one worker, number of machines in one unit and number of operators in one unit. The minimum and maximum noise levels were recorded by using digital sound level meter to compute average noise level/ unit. To identify the health problems like respiratory, hearing/listening, irritation, heart/BP, annoyance and headache faced by the workers, the survey was conducted. In present research work the minimum noise recorded was 101.6dB (A and maximum as 109.8dB (A, which was compared with OSHA and WHO (World Health Organization standards. Result of this study shows that due to high intensity of noise generated by looms and dusts at work places, workers were facing the mental and physical problems.

  1. Comparative analysis of energy data bases for the industrial and commercial sectors

    Energy Technology Data Exchange (ETDEWEB)

    Roop, J.M.; Belzer, D.B.; Bohn, A.A.

    1986-12-01

    Energy data bases for the industrial and commercial sectors were analyzed to determine how valuable this data might be for policy analysis. The approach is the same for both end-use sectors: first a descrption or overview of relevant data bases identifies the available data; the coverage and methods used to generate the data are then explained; the data are then characterized and examples are provided for the major data sets under consideration. A final step assesses the data bases under consideration and draws conclusions. There are a variety of data bases considered for each of the end-use sectors included in this report. Data bases for the industrial sector include the National Energy Accounts, process-derived data bases such as the Drexel data base and data obtained from industry trade associations. For the commercial sector, three types of data bases are analyzed: the Nonresidential Building Energy Consumption Surveys, Dodge Construction Data and the Building Owners and Manager's Association Experience Exchange Report.

  2. Research on energy efficiency evaluation based on indicators for industry sectors in China

    International Nuclear Information System (INIS)

    Song, Chenxi; Li, Mingjia; Wen, Zhexi; He, Ya-Ling; Tao, Wen-Quan; Li, Yangzhe; Wei, Xiangyang; Yin, Xiaolan; Huang, Xing

    2014-01-01

    Highlights: • We try to evaluate energy efficiency of industry at the plant-level. • The Hierarchical–Indicator Comparison (HIC) method is proposed. • The HIC method can be implemented based on indicators at multi-levels. • The purified terephthalic acid (PTA) industry is used to illustrate the HIC method. • The construction procedure of indicators and the way to use them are presented. - Abstract: The so-called Hierarchical–Indicator Comparison (HIC) method is introduced in this paper. It mainly serves for industrial energy conservation programs in China. A chemical industry named purified terephthalic acid (PTA) is used to outline this method. Two key points of the HIC method are the construction of energy efficiency indicators (EEI) system and the way to utilize indicators appropriately. After a brief review of EE evaluation methods in literature, the construction procedure of energy efficiency indicators (EEI) system for PTA industry is presented firstly. How to correct reference values for indicators according to non-comparable factors is discussed. Then, how to implement the HIC method based on EEI system is presented. Every indicator has its own advantages and disadvantages. Disadvantages of an indicator can be conquered by other indicators. With multiple indicators used together, more objective EE evaluation result can be obtained. Finally, some proposals for further work of this method are also presented

  3. Methodology сomparative statistical analysis of Russian industry based on cluster analysis

    Directory of Open Access Journals (Sweden)

    Sergey S. Shishulin

    2017-01-01

    Full Text Available The article is devoted to researching of the possibilities of applying multidimensional statistical analysis in the study of industrial production on the basis of comparing its growth rates and structure with other developed and developing countries of the world. The purpose of this article is to determine the optimal set of statistical methods and the results of their application to industrial production data, which would give the best access to the analysis of the result.Data includes such indicators as output, output, gross value added, the number of employed and other indicators of the system of national accounts and operational business statistics. The objects of observation are the industry of the countrys of the Customs Union, the United States, Japan and Erope in 2005-2015. As the research tool used as the simplest methods of transformation, graphical and tabular visualization of data, and methods of statistical analysis. In particular, based on a specialized software package (SPSS, the main components method, discriminant analysis, hierarchical methods of cluster analysis, Ward’s method and k-means were applied.The application of the method of principal components to the initial data makes it possible to substantially and effectively reduce the initial space of industrial production data. Thus, for example, in analyzing the structure of industrial production, the reduction was from fifteen industries to three basic, well-interpreted factors: the relatively extractive industries (with a low degree of processing, high-tech industries and consumer goods (medium-technology sectors. At the same time, as a result of comparison of the results of application of cluster analysis to the initial data and data obtained on the basis of the principal components method, it was established that clustering industrial production data on the basis of new factors significantly improves the results of clustering.As a result of analyzing the parameters of

  4. Seam gap bridging of laser based processes for the welding of aluminium sheets for industrial applications

    NARCIS (Netherlands)

    Aalderink, B.J.; Aalderink, Benno; Pathiraj, B.; Aarts, Ronald G.K.M.

    2010-01-01

    Laser welding has a large potential for the production of tailor welded blanks in the automotive industry, due to the low heat input and deep penetration. However, due to the small laser spot and melt pool, laser-based welding processes in general have a low tolerance for seam gaps. In this paper,

  5. A Project-Based Laboratory for Learning Embedded System Design with Industry Support

    Science.gov (United States)

    Lee, Chyi-Shyong; Su, Juing-Huei; Lin, Kuo-En; Chang, Jia-Hao; Lin, Gu-Hong

    2010-01-01

    A project-based laboratory for learning embedded system design with support from industry is presented in this paper. The aim of this laboratory is to motivate students to learn the building blocks of embedded systems and practical control algorithms by constructing a line-following robot using the quadratic interpolation technique to predict the…

  6. Model-based iterative learning control applied to an industrial robot with elasticity

    NARCIS (Netherlands)

    Hakvoort, Wouter; Aarts, Ronald G.K.M.; van Dijk, Johannes; Jonker, Jan B.; IEEE,

    2007-01-01

    In this paper model-based Iterative Learning Control (ILC) is applied to improve the tracking accuracy of an industrial robot with elasticity. The ILC algorithm iteratively updates the reference trajectory for the robot such that the predicted tracking error in the next iteration is minimised. The

  7. 3D Modeling of Mechanical Transmissions for Base Translation of an Industrial Robot

    Directory of Open Access Journals (Sweden)

    Călin-Octavian Miclosină

    2009-01-01

    Full Text Available This paper presents 2 chained mechanical transmissions used to obtainthe base translation of an industrial robot: worm - worm gear transmission and motion screw - nut transmission. The kinematicalscheme, the 3D models of the main parts of the mechanicaltransmissions and the 3D assembly model are shown. For modeling,CATIA V5 software was used.

  8. Optimization-based decision support systems for planning problems in processing industries

    NARCIS (Netherlands)

    Claassen, G.D.H.

    2014-01-01

    Summary Optimization-based decision support systems for planning problems in processing industries Nowadays, efficient planning of material flows within and between supply chains is of vital importance and has become one of the most challenging problems for decision support in practice. The

  9. Optimization-based decision support systems for planning problems in processing industries

    NARCIS (Netherlands)

    Claassen, G.D.H.

    2014-01-01

    Summary

    Optimization-based decision support systems for planning problems in processing industries

    Nowadays, efficient planning of material flows within and between supply chains is of vital importance and has become one of the most challenging problems for decision support in

  10. Verification of a characterization method of the laser-induced selective activation based on industrial lasers

    DEFF Research Database (Denmark)

    Zhang, Yang; Hansen, Hans Nørgaard; Tang, Peter T.

    2013-01-01

    In this article, laser-induced selective activation (LISA) for subsequent autocatalytic copper plating is performed by several types of industrial scale lasers, including a Nd:YAG laser, a UV laser, a fiber laser, a green laser, and a short pulsed laser. Based on analysis of all the laser...

  11. The antecedents and consequences of restrictive age-based ratings in the global motion picture industry

    NARCIS (Netherlands)

    Leenders, M.A.A.M.; Eliashberg, J.

    2011-01-01

    This article analyzes one key characteristic shared by a growing number of industries. Specifically, their products and services are continuously monitored and evaluated by local third-party ratings systems. In this study, we focus on understanding the local drivers of restrictive age-based ratings

  12. Design for Sustainability of Industrial Symbiosis based on Emergy and Multi-objective Particle Swarm Optimization

    DEFF Research Database (Denmark)

    Ren, Jingzheng; Liang, Hanwei; Dong, Liang

    2016-01-01

    performance of the integrated industrial system. A set of emergy based evaluation index are designed. Multi-objective Particle Swarm Algorithm is proposed to solve the model, and the decision-makers are allowed to choose the suitable solutions form the Pareto solutions. An illustrative case has been studied...

  13. A Skill-based Robot Co-worker for Industrial Maintenance Tasks

    DEFF Research Database (Denmark)

    Koch, Paul Jacob; van Amstel, Marike Koch; Dębska, Patrycja

    2017-01-01

    This paper investigates the concept of a sensor based robot co-worker working in flexible industrial environments together with and alongside human operators. In this particular work, a realisation of a robot co-worker scenario is developed in order to demonstrate the implementation of a robot co-worker...

  14. New Method to Produce an Industrial Lubrication Fluid from Vegetable Oil-based Materials

    Science.gov (United States)

    The projected demand for industrial and automotive lubricants in the U.S. is ~2.6 billion gallons by 2017, where bio-based lubricants will play an increasing role, from a share of 0.6% today to a possible 1.2% by 2017. This is accompanied by the expected price increase to >$7.00/gallon which will g...

  15. A comparison of stress tolerance in YPD and industrial lignocellulose-based medium among industrial and laboratory yeast strains.

    Science.gov (United States)

    Albers, Eva; Larsson, Christer

    2009-08-01

    In general, it is believed that fermentation by yeast under harsh industrial conditions, especially if substrates such as wood hydrolysate or lignocellulosic substrates are used, requires the use of so-called industrial strains. In order to check whether this is always true, a comparison of performance was made using two industrial strains and four commonly used laboratory strains, the haploid and diploid versions of CEN-PK and X2180, under industrially relevant stress conditions. The industrial strains were a Swedish commercial baker's yeast strain and a strain previously isolated from an industrial bioethanol production plant using lignocellulosic substrate. Stress conditions included, apart from growth in the lignocellulosic substrate itself, elevated concentrations of glucose, NaCl, ethanol, and lactate as well as low pH. Results showed that, indeed, the strain adapted to lignocellulosic substrate also possessed the highest growth rate as well as shortest duration of the lag phase in this type of medium. However, the higher the additional stress level, the lower the difference compared to other strains, and X2180 in particular displayed a high resistance to these additional stress conditions. Furthermore, no difference in performance could be detected between the haploid or diploid versions of the laboratory strains. It might be that, at least under some circumstances, a laboratory strain such as X2180 could be an industrially attractive production organism with the advantage of facilitating the possibilities for making controlled genetic manipulations.

  16. Nonlinear Decoupling Control With ANFIS-Based Unmodeled Dynamics Compensation for a Class of Complex Industrial Processes.

    Science.gov (United States)

    Zhang, Yajun; Chai, Tianyou; Wang, Hong; Wang, Dianhui; Chen, Xinkai

    2017-04-24

    Complex industrial processes are multivariable and generally exhibit strong coupling among their control loops with heavy nonlinear nature. These make it very difficult to obtain an accurate model. As a result, the conventional and data-driven control methods are difficult to apply. Using a twin-tank level control system as an example, a novel multivariable decoupling control algorithm with adaptive neural-fuzzy inference system (ANFIS)-based unmodeled dynamics (UD) compensation is proposed in this paper for a class of complex industrial processes. At first, a nonlinear multivariable decoupling controller with UD compensation is introduced. Different from the existing methods, the decomposition estimation algorithm using ANFIS is employed to estimate the UD, and the desired estimating and decoupling control effects are achieved. Second, the proposed method does not require the complicated switching mechanism which has been commonly used in the literature. This significantly simplifies the obtained decoupling algorithm and its realization. Third, based on some new lemmas and theorems, the conditions on the stability and convergence of the closed-loop system are analyzed to show the uniform boundedness of all the variables. This is then followed by the summary on experimental tests on a heavily coupled nonlinear twin-tank system that demonstrates the effectiveness and the practicability of the proposed method.

  17. Integrated waste management in batch chemical industry based on multi-objective optimization.

    Science.gov (United States)

    Rerat, Claude; Papadokonstantakis, Stavros; Hungerbühler, Konrad

    2013-03-01

    A multi-objective optimization methodology for hazardous liquid waste management is presented in this paper using industrially based LCA models and operating constraints. This approach is used to optimize the handling of waste streams introducing flexible mixing policy scenarios compared to the rigid policy scenarios of the industrial system. It is shown that increasing the degrees of freedom for the waste mixing reduces significantly both the operating cost and the environmental impact by avoiding the use of utilities. Moreover, the influence of waste availability as function of production planning without waste storage is analyzed in several multiperiod optimizations. There, it is demonstrated that this saving potential can be further increased by integration of multiperiod production planning with waste management policies, up to the level of 40% for the environmental impact, and more than 50% for the operating cost, compared to the industrial base case. In some specific cases, a proper matching of production planning and waste mixing policies can also turn the waste treatment into a source of profit exploiting energy production from the incineration process. This study reveals the savings potential of more flexible policies in waste management, in particular waste mixing of liquid waste in batch chemical industries treated in incineration, wet air oxidation, wastewater treatment plants, or recovered by distillation. Through a multi-objective optimization framework including models for operating costs and life-cycle inventories based on industrial data, operating constraints from industrial practice, and terminal constraints from legislation, savings potentials up to 50% for the operation cost and 40% for the environmental impact are demonstrated in two case studies.

  18. A method to estimate emission rates from industrial stacks based on neural networks.

    Science.gov (United States)

    Olcese, Luis E; Toselli, Beatriz M

    2004-11-01

    This paper presents a technique based on artificial neural networks (ANN) to estimate pollutant rates of emission from industrial stacks, on the basis of pollutant concentrations measured on the ground. The ANN is trained on data generated by the ISCST3 model, widely accepted for evaluation of dispersion of primary pollutants as a part of an environmental impact study. Simulations using theoretical values and comparison with field data are done, obtaining good results in both cases at predicting emission rates. The application of this technique would allow the local environment authority to control emissions from industrial plants without need of performing direct measurements inside the plant. copyright 2004 Elsevier Ltd.

  19. Fault Detection and Diagnosis System in Process industry Based on Big Data and WeChat

    Directory of Open Access Journals (Sweden)

    Sun Zengqiang

    2017-01-01

    Full Text Available The fault detection and diagnosis information in process industry can be received, anytime and anywhere, based on bigdata and WeChat with mobile phone, which got rid of constraints that can only check Distributed Control System (DCS in the central control room or look over in office. Then, fault detection, diagnosis information sharing can be provided, and what’s more, fault detection alarm range, code and inform time can be personalized. The pressure of managers who worked on process industry can be release with the mobile information system.

  20. Tangible industry 4.0: A scenario-based approach to learning for the future of production

    OpenAIRE

    Erol, Selim; Jäger, Andreas; Hold, Philipp; Ott, Karl; Sihn, Wilfried

    2016-01-01

    Industry is currently undergoing a transformation towards full digitalization and intelligentization of manufacturing processes. Visionary but quite realistic concepts such as the Internet of Things, Industrial Internet, Cloud-based Manufacturing and Smart Manufacturing are drivers of the so called Fourth Industrial Revolution which is commonly referred to as Industry 4.0. Although a common agreement exists on the necessity for technological advancement of production technologies and business...

  1. Problem Based Learning - Linking Students and Industry:A case Study from Aalborg, Denmark

    OpenAIRE

    Fink, Flemming K.

    2006-01-01

    WG2_G4 Problem based learning – linking students and industry: a case study from Aalborg, Denmark Flemming K. Flink ELITE Aalborg University In Aalborg University, Denmark, all study programmes are organised around inter-disciplinary project work in groups. Up to 50% of the study work is problem-oriented project work: students work in teams to solve externally defined problem areas in co-operation with businesses, organisations and public institutions. Project Organised Problem Based Learning...

  2. Application of neutron-interaction based radiometric measurements in continuous industrial technologies

    International Nuclear Information System (INIS)

    Faludi, Gy.; Hazi, E.

    1980-01-01

    A number of measuring methods (such as moisture determination, hydrogen content determination, etc.) have been developed based on the interactions of neutrons and various materials (slowing-down, absorption, scattering). This paper deals with the disturbances (mainly with the effects of space-filling changes) of neutron interaction based radiometrical measurement methods used in the continuous industrial technologies and the elimination methods of these disturbances. The socalled dual-channel elimination method is discussed in detail. (author)

  3. ROLE OF RESOURCE-BASED ENTREPRENEURSHIP DEVELOPMENT TO INCREASE COMPETITIVENESS OF TRADITIONALLY WOVEN SARONG CREATIVE INDUSTRY

    Directory of Open Access Journals (Sweden)

    Zakiyah Z.

    2017-07-01

    Full Text Available The objectives of the study were to describe position of traditionally woven sarong creative industry in Donggala in business competition based on both internal aspects (strength and weakness and external ones (opportunity and threats, and role of resource-based entrepreneurship development to improve competitiveness of the traditionally woven sarong creative industry in Donggala. In order to meet the objectives, the study used SWOT and Moderating Regression Analysis (MRA. The findings showed that the strength of the Donggala woven sarong industry was the sarong had indigenous Central Sulawesi pattern, it was part of the rural society and was traditionally made. The weaknesses were the sarong pattern and design had yet been touched by modern technology, its color faded away easily during laundry and it was only sold in the local areas. The opportunities were the sarong may become alternative souvenir from Central Sulawesi and development of creative economy was widely discussed recently. The threat was there were various types and patterns of sarong in the market; and entrepreneurship was moderating variables between resource-based strategy and competitiveness of Donggala woven sarong creative industry; the level of significance was 0.001 and the R-Square was 0.803.

  4. The global transcriptional landscape of Bacillus amyloliquefaciens XH7 and high-throughput screening of strong promoters based on RNA-seq data.

    Science.gov (United States)

    Liao, Yuling; Huang, Lianggang; Wang, Bin; Zhou, Feng; Pan, Li

    2015-10-25

    Bacillus amyloliquefaciens is an important industrial microbe for the production of many industrial enzymes and primary metabolites. Although the complete genome sequence of B. amyloliquefaciens has been now published, transcript structures of B. amyloliquefaciens remain poorly defined. In this study, high-throughput RNA sequencing (RNA-seq) technology was applied to dissect the transcriptome of B. amyloliquefaciens strain XH7. In total, 3936 out of a total of 4204 B. amyloliquefaciens genes (93.6%) were transcribed under the selected growth condition. Transcriptional start sites (TSS) of 1064 annotated genes and 749 operons were identified. To screen for strong promoters, a beta-galactoside reporter was fused to eight candidate promoters from 288 genes with higher expression levels (RPKM values) than the control gene P43-bgaB. The results illustrated that the candidate promoter Pr2 (promoter for the sigW gene) displayed the strongest beta-galactosidase specific activity during the post-log phase, suggesting that it could be used effectively for heterologous gene expression. The presented data will contribute to the further study of the B. amyloliquefaciens transcriptome by identifying useful promoters for industrial uses. Copyright © 2015 Elsevier B.V. All rights reserved.

  5. Final Report - ADVANCED LASER-BASED SENSORS FOR INDUSTRIAL PROCESS CONTROL

    Energy Technology Data Exchange (ETDEWEB)

    Gupta, Manish; Baer, Douglas

    2013-09-30

    The objective of this work is to capture the potential of real-time monitoring and overcome the challenges of harsh industrial environments, Los Gatos Research (LGR) is fabricating, deploying, and commercializing advanced laser-based gas sensors for process control monitoring in industrial furnaces (e.g. electric arc furnaces). These sensors can achieve improvements in process control, leading to enhanced productivity, improved product quality, and reduced energy consumption and emissions. The first sensor will utilize both mid-infrared and near-infrared lasers to make rapid in-situ measurements of industrial gases and associated temperatures in the furnace off-gas. The second sensor will make extractive measurements of process gases. During the course of this DOE project, Los Gatos Research (LGR) fabricated, tested, and deployed both in-situ tunable diode laser absorption spectrometry (TDLAS) analyzers and extractive Off-Axis Integrated Cavity Output Spectroscopy (Off-Axis ICOS) analyzers.

  6. Policy-based secure communication with automatic key management for industrial control and automation systems

    Science.gov (United States)

    Chernoguzov, Alexander; Markham, Thomas R.; Haridas, Harshal S.

    2016-11-22

    A method includes generating at least one access vector associated with a specified device in an industrial process control and automation system. The specified device has one of multiple device roles. The at least one access vector is generated based on one or more communication policies defining communications between one or more pairs of devices roles in the industrial process control and automation system, where each pair of device roles includes the device role of the specified device. The method also includes providing the at least one access vector to at least one of the specified device and one or more other devices in the industrial process control and automation system in order to control communications to or from the specified device.

  7. Industrial-Strength Model-Based Testing - State of the Art and Current Challenges

    Directory of Open Access Journals (Sweden)

    Jan Peleska

    2013-03-01

    Full Text Available As of today, model-based testing (MBT is considered as leading-edge technology in industry. We sketch the different MBT variants that - according to our experience - are currently applied in practice, with special emphasis on the avionic, railway and automotive domains. The key factors for successful industrial-scale application of MBT are described, both from a scientific and a managerial point of view. With respect to the former view, we describe the techniques for automated test case, test data and test procedure generation for concurrent reactive real-time systems which are considered as the most important enablers for MBT in practice. With respect to the latter view, our experience with introducing MBT approaches in testing teams are sketched. Finally, the most challenging open scientific problems whose solutions are bound to improve the acceptance and effectiveness of MBT in industry are discussed.

  8. Strong, sudden cooling alleviates the inflammatory responses in heat-stressed dairy cows based on iTRAQ proteomic analysis

    Science.gov (United States)

    Cheng, Jianbo; Min, Li; Zheng, Nan; Fan, Caiyun; Zhao, Shengguo; Zhang, Yangdong; Wang, Jiaqi

    2018-02-01

    This study was designed to investigate the effects of sudden cooling on the physiological responses of 12 heat-stressed Holstein dairy cows using an isobaric tags for relative and absolute quantification (iTRAQ) labeling approach. Plasma samples were collected from these cows during heat stress (HS), and after strong, sudden cooling in the summer (16 days later). We compared plasma proteomic data before and after sudden cooling to identify the differentially abundant proteins. The results showed that sudden cooling in summer effectively alleviated the negative consequences of HS on body temperature and production variables. Expressions of plasma hemoglobin alpha and hemoglobin beta were upregulated, whereas lipopolysaccharide-binding protein (LBP) and haptoglobin were downregulated in this process. The increase of hemoglobin after cooling may improve oxygen transport and alleviate the rise in respiration rates in heat-stressed dairy cows. The decrease of LBP and haptoglobin suggests that the inflammatory responses caused by HS are relieved after cooling. Our findings provide new insight into the physiological changes that occur when heat-stressed dairy cows experience strong, sudden cooling.

  9. A Descriptive Study towards Green Computing Practice Application for Data Centers in IT Based Industries

    Directory of Open Access Journals (Sweden)

    Anthony Jnr. Bokolo

    2018-01-01

    Full Text Available The progressive upsurge in demand for processing and computing power has led to a subsequent upsurge in data center carbon emissions, cost incurred, unethical waste management, depletion of natural resources and high energy utilization. This raises the issue of the sustainability attainment in data centers of Information Technology (IT based industries. Green computing practice can be applied to facilitate sustainability attainment as IT based industries utilizes data centers to provide services to staffs, practitioners and end users. But it is a known fact that enterprise servers utilize huge quantity of energy and incur other expenditures in cooling operations and it is difficult to address the needs of accuracy and efficiency in data centers while yet encouraging a greener application practice alongside cost reduction. Thus this research study focus on the practice application of Green computing in data centers which houses servers and as such presents the Green computing life cycle strategies and best practices to be practiced for better management in data centers in IT based industries. Data was collected through questionnaire from 133 respondents in industries that currently operate their in-house data centers. The analysed data was used to verify the Green computing life cycle strategies presented in this study. Findings from the data shows that each of the life cycles strategies is significant in assisting IT based industries apply Green computing practices in their data centers. This study would be of interest to knowledge and data management practitioners as well as environmental manager and academicians in deploying Green data centers in their organizations.

  10. Development of a performance-based industrial energy efficiency indicator for corn refining plants.

    Energy Technology Data Exchange (ETDEWEB)

    Boyd, G. A.; Decision and Information Sciences; USEPA

    2006-07-31

    Organizations that implement strategic energy management programs have the potential to achieve sustained energy savings if the programs are carried out properly. A key opportunity for achieving energy savings that plant managers can take is to determine an appropriate level of energy performance by comparing their plant's performance with that of similar plants in the same industry. Manufacturing facilities can set energy efficiency targets by using performance-based indicators. The U.S. Environmental Protection Agency (EPA), through its ENERGY STAR{reg_sign} program, has been developing plant energy performance indicators (EPIs) to encourage a variety of U.S. industries to use energy more efficiently. This report describes work with the corn refining industry to provide a plant-level indicator of energy efficiency for facilities that produce a variety of products--including corn starch, corn oil, animal feed, corn sweeteners, and ethanol--for the paper, food, beverage, and other industries in the United States. Consideration is given to the role that performance-based indicators play in motivating change; the steps needed to develop indicators, including interacting with an industry to secure adequate data for an indicator; and the actual application and use of an indicator when complete. How indicators are employed in the EPA's efforts to encourage industries to voluntarily improve their use of energy is discussed as well. The report describes the data and statistical methods used to construct the EPI for corn refining plants. Individual equations are presented, as are the instructions for using them in an associated Excel spreadsheet.

  11. Empirically based development of a framework for advancing and stimulating collaboration in the chemical industry (ASC) : Creating sustainable chemical industrial parks

    NARCIS (Netherlands)

    Reniers, Genserik; Dullaert, Wout; Visser, Lenny

    2010-01-01

    Based on literature, we identify collaboration drivers and partner features for enhancing vertical and/or horizontal collaboration in the chemicals using industries. We further develop constructs for both types of collaboration. A survey-based analysis within the largest chemical cluster worldwide

  12. Life assessment of PVD based hard coatings by linear sweep voltammetry for high performance industrial application

    International Nuclear Information System (INIS)

    Malik, M.; Alam, S.; Irfan, M.; Hassan, Z.

    2006-01-01

    PVD based hard coatings have remarkable achievements in order to improve Tribological and surface properties of coating tools and dies. As PVD based hard coatings have a wide range of industrial applications especially in aerospace and automobile parts where they met different chemical attacks and in order to improve industrial performance these coatings must provide an excellent resistance against corrosion, high temperature oxidation and chemical reaction. This paper focuses on study of behaviour of PVD based hard coatings under different corrosive environments like as H/sub 2/SO/sub 4/, HCl, NaCl, KCl, NaOH etc. Corrosion rate was calculate under linear sweep voltammetry method where the Tafel extrapolation curves used for continuously monitoring the corrosion rate. The results show that these coatings have an excellent resistance against chemical attack. (author)

  13. Effect of base media on the stability of annatto dye in industrial products

    International Nuclear Information System (INIS)

    Audetuyi, A.O.; Lajide, L.; Popoola, A.V.

    2006-01-01

    Colour stability of the versatile annatto dye was examined to monitor the effects of base media on industrial products. The dye was incorporated in two media, namely, palm kernel oil used in products such as body cream and soap, and paraffin wax used in shoe polish and household candle wax. These products were exposed to various light conditions for a specific period before assessment. The melting point of the dye was determined as 176-178 degree C with a molar absorptivity of 13,600 mol/sub -1/ cm/sub -1/ at 545 nm. It imparted its brilliant yellow/orange colouration in industrial products as the colour stability depends on the compounding base media of the products. Losses of beta-carotene was higher and faster in nonaqueous environment as paraffin wax showed low fastness rating values, than in the palm kernel oil based aqueous medium products. (author)

  14. Some design lessons from market-based greenhouse gas regulation in the restructured Australian electricity industry

    International Nuclear Information System (INIS)

    MacGill, Iain; Outhred, Hugh; Nolles, Karel

    2006-01-01

    There is growing worldwide interest in the use of market-based policy instruments for climate change regulation in the electricity sector. These mechanisms would seem to offer some efficiency and flexibility advantages over more traditional regulatory approaches, while being highly compatible with competitive market-based electricity industries. Australia has been an early and enthusiastic adopter of both electricity industry restructuring and market-based environmental instruments. This paper first outlines some of these recent policy developments. In particular, we describe the objectives, design and outcomes to date of electricity industry restructuring, the Mandatory Renewable Energy Target, the NSW Greenhouse Benchmarks, the Queensland 13% Gas scheme and Government accredited Green Power. From this, we draw some key design lessons for such market-based instruments. These include the perils of abstraction in scheme design, the vital importance of setting appropriate baselines in 'baseline and credit' schemes, the possibility that such measures may interact in ways that reduce their environmental effectiveness, 'market for lemon' risks with tradable instruments that have measurement, verification or 'additionality' difficulties, and the challenges of creating transparent liquid markets for these mechanisms. The mixed performance of these Australian schemes to date illustrates the need for great care in designing such market-based approaches

  15. Dengue E Protein Domain III-Based DNA Immunisation Induces Strong Antibody Responses to All Four Viral Serotypes.

    Directory of Open Access Journals (Sweden)

    Monica Poggianella

    Full Text Available Dengue virus (DENV infection is a major emerging disease widely distributed throughout the tropical and subtropical regions of the world affecting several millions of people. Despite constants efforts, no specific treatment or effective vaccine is yet available. Here we show a novel design of a DNA immunisation strategy that resulted in the induction of strong antibody responses with high neutralisation titres in mice against all four viral serotypes. The immunogenic molecule is an engineered version of the domain III (DIII of the virus E protein fused to the dimerising CH3 domain of the IgG immunoglobulin H chain. The DIII sequences were also codon-optimised for expression in mammalian cells. While DIII alone is very poorly secreted, the codon-optimised fusion protein is rightly expressed, folded and secreted at high levels, thus inducing strong antibody responses. Mice were immunised using gene-gun technology, an efficient way of intradermal delivery of the plasmid DNA, and the vaccine was able to induce neutralising titres against all serotypes. Additionally, all sera showed reactivity to a recombinant DIII version and the recombinant E protein produced and secreted from mammalian cells in a mono-biotinylated form when tested in a conformational ELISA. Sera were also highly reactive to infective viral particles in a virus-capture ELISA and specific for each serotype as revealed by the low cross-reactive and cross-neutralising activities. The serotype specific sera did not induce antibody dependent enhancement of infection (ADE in non-homologous virus serotypes. A tetravalent immunisation protocol in mice showed induction of neutralising antibodies against all four dengue serotypes as well.

  16. Research on cost early warning of textile industry based on AC algorithm

    Directory of Open Access Journals (Sweden)

    Xiaolu Meng

    2017-03-01

    Full Text Available In recent years, the textile industry faces huge pressure domestically and internationally. With a small profit margin in the textile industry, it becomes very important to improve the economic efficiency and the cost management. Therefore, establishing an effective cost early warning system for the textile industry is necessary. The proposal of AC algorithm predicts the cost alert completely based on the historical data without estimating or assuming the future trend of the input variables in advance. Based on its advantages, the length of pattern (k is 2, 3, 4 or 5, and then we respectively build the cost early warning model. According to the results of comparison, the model with k =3 has the strongest predictive ability. The predictive error of the total cost is 1.8%, smaller than that of others. Then, this paper predicts the cost alert of the next five years by the model with k =3. The results show that the cost alert has certain volatility. Accordingly, we proposed some suggestions to cope with the crisis. This paper also provides references for the industry, government and relevant investors.

  17. Utilization of agro-based industrial by-products for biogas production in Vietnam

    Energy Technology Data Exchange (ETDEWEB)

    Ngoc, U.N.; Schnitzer, H. [Graz Univ. of Technology, (Austria). Inst. for Resource Efficient and Sustainable Systems; Berghold, H. [Joanneum Research Inst. for Sustainable Techniques and Systems (Austria)

    2007-07-01

    Due to the rapid rates of urbanization occurring in many countries in the world, the importance of an efficient and effective solid waste management system and the utilization/reuse of waste are more critical than ever before, especially for agricultural residues and agro-based industrial by-products. Over the past decade, the amount of solid waste generated in Vietnam has been increasing steadily. Numbers are predicted to continue to increase as well. There is significant potential to use the large amount of wastes for biogas conversion processes and for further production of commercial energy. This paper presented starts with estimation and analysis of the amounts of organic waste, agricultural residues, and agro-based industrial by-products generated from food industrial processes using general data sources for Vietnam. A laboratory study examined the use of agro-based industrial by-products and agricultural residues from cassava, sweet potato, pineapple residues, organic wastes, manures as input materials for biogas production in the anaerobic process. This paper provided an overview of Vietnam as a country, as well as a general overview of the amount of organic waste generated in the country. It also discussed the fermentation tests that were conducted to find out the potential of biogas production from some residues. It was concluded that a significant portion of waste could be reused as an environmentally sound source of energy. The utilization of agricultural residues and industrial byproducts as input materials for biogas production will not only reduce the quantity of organic waste thrown into landfills, but also reduce the negative impact on the environment. 10 refs., 7 tabs., 7 figs.

  18. Diffusion Patterns in Convergence among High-Technology Industries: A Co-Occurrence-Based Analysis of Newspaper Article Data

    Directory of Open Access Journals (Sweden)

    Hyeokseong Lee

    2016-10-01

    Full Text Available Firms in high-technology industries have faced great technological and market uncertainty and volatility in the past few decades. In order to be competitive and sustainable in this environment, firms have been pursuing technological innovation, product differentiation, vertical integration, and alliances, which eventually drive industry convergence, defined as the process of blurring boundaries between previously distinct industries. Although industry convergence has greatly affected industrial structure and the economy, little research has investigated this phenomenon, especially its diffusion patterns; thus, it is still unclear which industries are converging more rapidly or have a higher potential for convergence. This paper explores these issues by investigating industry convergence in U.S. high-technology industries, using a large set of newspaper articles from 1987 to 2012. We perform a co-occurrence-based analysis to obtain information on industry convergence and estimate its diffusion patterns using an internal-influence logistic model. We find heterogeneous diffusion patterns, depending on convergent-industry pairs and their wide dispersion. In addition, we find that the potential degree of industry convergence is significantly negatively associated with its growth rate, which indicates that a great deal of time will be required for industry convergence between high-technology industries with this high potential to achieve a high degree of convergence.

  19. Economic costs of recorded reasons for cow mortality and culling in a pasture-based dairy industry.

    Science.gov (United States)

    Kerslake, J I; Amer, P R; O'Neill, P L; Wong, S L; Roche, J R; Phyn, C V C

    2018-02-01

    The objective of this study was to determine the economic costs associated with different reasons for cow culling or on-farm mortality in a pasture-based seasonal system. A bioeconomic model was developed to quantify costs associated with the different farmer-recorded reasons and timing of cow wastage. The model accounted for the parity and stage of lactation at which the cows were removed as well as the consequent effect on the replacement rate and average age structure of the herd. The costs and benefits associated with the change were quantified, including animal replacement cost, cull salvage value, milk production loss, and the profitability of altered genetic merit based on industry genetic trends for each parity. The total cost of cow wastage was estimated to be NZ$23,628/100 cows per year (NZ$1 = US$0.69) in a pasture-based system. Of this total cost, NZ$14,300/100 cows worth of removals were for nonpregnancy and unknown reasons, and another NZ$3,631/100 cows was attributed to low milk production, mastitis, and udder problems. The total cost for cow removals due to farmer-recorded biological reasons (excluding unknown, production, and management-related causes) was estimated to be NZ$13,632/100 cows per year. Of this cost, an estimated NZ$10,286/100 cows was attributed to nonpregnancy, mastitis, udder problems, calving trouble, and injury or accident. There is a strong economic case for the pasture-based dairy industries to invest in genetic, herd health, and production management research focused on reducing animal wastage due to reproductive failure, mastitis, udder problems, injuries or accidents, and calving difficulties. Copyright © 2018 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

  20. SUPPORTING THE INDUSTRY BY DEVELOPING A DESIGN GUIDANCE FOR COMPUTER-BASED PROCEDURES FOR FIELD WORKERS

    Energy Technology Data Exchange (ETDEWEB)

    Oxstrand, Johanna; LeBlanc, Katya

    2017-06-01

    The paper-based procedures currently used for nearly all activities in the commercial nuclear power industry have a long history of ensuring safe operation of the plants. However, there is potential to greatly increase efficiency and safety by improving how the human interacts with the procedures, which can be achieved through the use of computer-based procedures (CBPs). A CBP system offers a vast variety of improvements, such as context driven job aids, integrated human performance tools and dynamic step presentation. As a step toward the goal of improving procedure use performance, the U.S. Department of Energy Light Water Reactor Sustainability Program researchers, together with the nuclear industry, have been investigating the possibility and feasibility of replacing current paper-based procedures with CBPs. The main purpose of the CBP research conducted at the Idaho National Laboratory was to provide design guidance to the nuclear industry to be used by both utilities and vendors. After studying existing design guidance for CBP systems, the researchers concluded that the majority of the existing guidance is intended for control room CBP systems, and does not necessarily address the challenges of designing CBP systems for instructions carried out in the field. Further, the guidance is often presented on a high level, which leaves the designer to interpret what is meant by the guidance and how to specifically implement it. The authors developed a design guidance to provide guidance specifically tailored to instructions that are carried out in the field based.

  1. Industrial wastewater treatment network based on recycling and rerouting strategies for retrofit design schemes

    DEFF Research Database (Denmark)

    Sueviriyapan, Natthapong; Suriyapraphadilok, Uthaiporn; Siemanond, Kitipat

    2015-01-01

    is employed to solve a network superstructure-based optimization problem formulated as Mixed Integer Linear and/or Non-Linear Programming (MILP/MINLP). Data from a petroleum refinery effluent treatment plant together with special design constraints are employed to formulate different design schemes based...... a generic model-based synthesis and design framework for retrofit wastewater treatment networks (WWTN) of an existing industrial process. The developed approach is suitable for grassroots and retrofit systems and adaptable to a wide range of wastewater treatment problems. A sequential solution procedure...... for the future development of the existing wastewater treatment process....

  2. Motor Imagery Classification Using Mu and Beta Rhythms of EEG with Strong Uncorrelating Transform Based Complex Common Spatial Patterns.

    Science.gov (United States)

    Kim, Youngjoo; Ryu, Jiwoo; Kim, Ko Keun; Took, Clive C; Mandic, Danilo P; Park, Cheolsoo

    2016-01-01

    Recent studies have demonstrated the disassociation between the mu and beta rhythms of electroencephalogram (EEG) during motor imagery tasks. The proposed algorithm in this paper uses a fully data-driven multivariate empirical mode decomposition (MEMD) in order to obtain the mu and beta rhythms from the nonlinear EEG signals. Then, the strong uncorrelating transform complex common spatial patterns (SUTCCSP) algorithm is applied to the rhythms so that the complex data, constructed with the mu and beta rhythms, becomes uncorrelated and its pseudocovariance provides supplementary power difference information between the two rhythms. The extracted features using SUTCCSP that maximize the interclass variances are classified using various classification algorithms for the separation of the left- and right-hand motor imagery EEG acquired from the Physionet database. This paper shows that the supplementary information of the power difference between mu and beta rhythms obtained using SUTCCSP provides an important feature for the classification of the left- and right-hand motor imagery tasks. In addition, MEMD is proved to be a preferred preprocessing method for the nonlinear and nonstationary EEG signals compared to the conventional IIR filtering. Finally, the random forest classifier yielded a high performance for the classification of the motor imagery tasks.

  3. Micro- and nanophase separations in hierarchical self-assembly of strongly amphiphilic block copolymer-based ionic supramolecules

    DEFF Research Database (Denmark)

    Ayoubi, Mehran Asad; Zhu, Kaizheng; Nyström, Bo

    2013-01-01

    By a selective complexation between different alkyltrimethylammonium amphiphiles (C8, C12 and C16) and three different diblock copolymer systems of poly(styrene)-b-poly(methacrylic acid) at various grafting densities X (X = number of alkyl chains per acidic group of the poly(methacrylic acid) PMAA...... block), a class of ionic supramolecules are successfully synthesized whose molecular architecture consists of a poly(styrene) PS block (Linear block) covalently connected to a strongly amphiphilic comb-like block (AmphComb block), i.e. Linear-b-AmphComb. In the melt state, these ionic supramolecules can...... show simultaneous microphase (between Linear and AmphComb blocks) and nanophase (within the AmphComb blocks) separations. This leads to the formation of various structure-in-structure two-scale hierarchical self-assemblies, including S-in-SLL, S-in-SBCC, S-in-C, S-in-L and C-in-L, where S, SLL, SBCC, C...

  4. Dynamical models of hadrons based on string model and behaviour of strongly interacting matter at high density

    International Nuclear Information System (INIS)

    Senda Ikuo.

    1991-05-01

    We propose dynamical models of hadrons, the nucleation model and the free-decay model, in which results of string model are used to represent interactions. The dynamical properties of hadrons, which are obtained by string model, are examined and their parameters are fitted by experimental data. The equilibrium properties of hadrons at high density are investigated by the nucleation model and we found a singular behaviour at energy density 3 ∼ 5 GeV/fm 3 , where hadrons coalesce to create highly excited states. We argue that this singular behaviour corresponds to the phase transition to quark-gluon plasma. The possibility to observe the production of high density strongly interacting matter at collider experiments are discussed using the free-decay model, which produces pion distributions as decay products of resonances. We show that our free-decay model recovers features of hadron distributions obtained in hadron collision experiments. Finally the perspectives and extensions are discussed. (author). 34 refs, 19 figs, 2 tabs

  5. Motor Imagery Classification Using Mu and Beta Rhythms of EEG with Strong Uncorrelating Transform Based Complex Common Spatial Patterns

    Directory of Open Access Journals (Sweden)

    Youngjoo Kim

    2016-01-01

    Full Text Available Recent studies have demonstrated the disassociation between the mu and beta rhythms of electroencephalogram (EEG during motor imagery tasks. The proposed algorithm in this paper uses a fully data-driven multivariate empirical mode decomposition (MEMD in order to obtain the mu and beta rhythms from the nonlinear EEG signals. Then, the strong uncorrelating transform complex common spatial patterns (SUTCCSP algorithm is applied to the rhythms so that the complex data, constructed with the mu and beta rhythms, becomes uncorrelated and its pseudocovariance provides supplementary power difference information between the two rhythms. The extracted features using SUTCCSP that maximize the interclass variances are classified using various classification algorithms for the separation of the left- and right-hand motor imagery EEG acquired from the Physionet database. This paper shows that the supplementary information of the power difference between mu and beta rhythms obtained using SUTCCSP provides an important feature for the classification of the left- and right-hand motor imagery tasks. In addition, MEMD is proved to be a preferred preprocessing method for the nonlinear and nonstationary EEG signals compared to the conventional IIR filtering. Finally, the random forest classifier yielded a high performance for the classification of the motor imagery tasks.

  6. Motor Imagery Classification Using Mu and Beta Rhythms of EEG with Strong Uncorrelating Transform Based Complex Common Spatial Patterns

    Science.gov (United States)

    Ryu, Jiwoo; Kim, Ko Keun; Mandic, Danilo P.

    2016-01-01

    Recent studies have demonstrated the disassociation between the mu and beta rhythms of electroencephalogram (EEG) during motor imagery tasks. The proposed algorithm in this paper uses a fully data-driven multivariate empirical mode decomposition (MEMD) in order to obtain the mu and beta rhythms from the nonlinear EEG signals. Then, the strong uncorrelating transform complex common spatial patterns (SUTCCSP) algorithm is applied to the rhythms so that the complex data, constructed with the mu and beta rhythms, becomes uncorrelated and its pseudocovariance provides supplementary power difference information between the two rhythms. The extracted features using SUTCCSP that maximize the interclass variances are classified using various classification algorithms for the separation of the left- and right-hand motor imagery EEG acquired from the Physionet database. This paper shows that the supplementary information of the power difference between mu and beta rhythms obtained using SUTCCSP provides an important feature for the classification of the left- and right-hand motor imagery tasks. In addition, MEMD is proved to be a preferred preprocessing method for the nonlinear and nonstationary EEG signals compared to the conventional IIR filtering. Finally, the random forest classifier yielded a high performance for the classification of the motor imagery tasks. PMID:27795702

  7. Accounting- versus economic-based rates of return: implications for profitability measures in the pharmaceutical industry.

    Science.gov (United States)

    Skrepnek, Grant H

    2004-01-01

    Accounting-based profits have indicated that pharmaceutical firms have achieved greater returns relative to other sectors. However, partially due to the theoretically inappropriate reporting of research and development (R&D) expenditures according to generally accepted accounting principles, evidence suggests that a substantial and upward bias is present in accounting-based rates of return for corporations with high levels of intangible assets. Given the intensity of R&D in pharmaceutical firms, accounting-based profit metrics in the drug sector may be affected to a greater extent than other industries. The aim of this work was to address measurement issues associated with corporate performance and factors that contribute to the bias within accounting-based rates of return. Seminal and broadly cited works on the subject of accounting- versus economic-based rates of return were reviewed from the economic and finance literature, with an emphasis placed on issues and scientific evidence directly related to the drug development process and pharmaceutical industry. With international convergence and harmonization of accounting standards being imminent, stricter adherence to theoretically sound economic principles is advocated, particularly those based on discounted cash-flow methods. Researchers, financial analysts, and policy makers must be cognizant of the biases and limitations present within numerous corporate performance measures. Furthermore, the development of more robust and valid economic models of the pharmaceutical industry is required to capture the unique dimensions of risk and return of the drug development process. Empiric work has illustrated that estimates of economic-based rates of return range from approximately 2 to approximately 11 percentage points below various accounting-based rates of return for drug companies. Because differences in the nature of risk and uncertainty borne by drug manufacturers versus other sectors make comparative assessments

  8. Employee’s Learning in the Organization - A Study of Knowledge Based Industries

    Directory of Open Access Journals (Sweden)

    Kuruppuge Ravindra Hewa

    2018-03-01

    Full Text Available This paper focuses on reviewing the learning behavior of individual employees in the firm over other influencing factors in knowledge-based industries in Sri Lanka. Using a stratified random sampling technique, a sample of 143 employees from jobs in Database Administration & Development, Systems & Network Administration, Web Development & Programming and Software Engineering was selected as respondents for the survey from 13 knowledge based industrial firms in Sri Lanka. After a descriptive analysis of the characteristics of respondents, the causal relationships among predictor and outcome variables were tested using the partial least squares regression method. The results indicated that the use of digital methods, digital tools, organizational identification and knowledge sharing are positively influenced by employee’s learning in the firm. Yet, the employee’s turnover intention has negatively influenced employee learning.

  9. Applying the competence-based approach to management in the aerospace industry

    Directory of Open Access Journals (Sweden)

    Arpentieva Mariam

    2018-01-01

    Full Text Available Problems of management in aerospace manufacturing are similar to those we observe in other sectors, the main of which is the flattening of strategic management. The main reason lies in the attitude towards human resource of the organization. In the aerospace industry employs 250 thousand people, who need individual approach. The individual approach can offer competence-based approach to management. The purpose of the study is proof of the benefits of the competency approach to human resource management in context strategic management of the aerospace organization. To achieve this goal it is possible to obtain the method of comparative analysis. The article compares two approaches to personnel management. The transition to competence-based human resource management means (a a different understanding of the object of management; (b involvement in all functions of human resource management «knowledge – skills – abilities» of the employee; (c to change the approach to strategic management aerospace industry.

  10. Titanium: light, strong, and white

    Science.gov (United States)

    Woodruff, Laurel; Bedinger, George

    2013-01-01

    Titanium (Ti) is a strong silver-gray metal that is highly resistant to corrosion and is chemically inert. It is as strong as steel but 45 percent lighter, and it is twice as strong as aluminum but only 60 percent heavier. Titanium dioxide (TiO2) has a very high refractive index, which means that it has high light-scattering ability. As a result, TiO2 imparts whiteness, opacity, and brightness to many products. ...Because of the unique physical properties of titanium metal and the whiteness provided by TiO2, titanium is now used widely in modern industrial societies.

  11. Vulnerability assessment of chemical industry facilities in South Korea based on the chemical accident history

    Science.gov (United States)

    Heo, S.; Lee, W. K.; Jong-Ryeul, S.; Kim, M. I.

    2016-12-01

    The use of chemical compounds are keep increasing because of their use in manufacturing industry. Chemical accident is growing as the consequence of the chemical use increment. Devastating damages from chemical accidents are far enough to aware people's cautious about the risk of the chemical accident. In South Korea, Gumi Hydrofluoric acid leaking accident triggered the importance of risk management and emphasized the preventing the accident over the damage reducing process after the accident occurs. Gumi accident encouraged the government data base construction relate to the chemical accident. As the result of this effort Chemical Safety-Clearing-house (CSC) have started to record the chemical accident information and damages according to the Harmful Chemical Substance Control Act (HCSC). CSC provide details information about the chemical accidents from 2002 to present. The detail informations are including title of company, address, business type, accident dates, accident types, accident chemical compounds, human damages inside of the chemical industry facilities, human damage outside of the chemical industry facilities, financial damages inside of the chemical industry facilities, and financial damages outside of the chemical industry facilities, environmental damages and response to the chemical accident. Collected the chemical accident history of South Korea from 2002 to 2015 and provide the spatial information to the each accident records based on their address. With the spatial information, compute the data on ArcGIS for the spatial-temporal analysis. The spatial-temporal information of chemical accident is organized by the chemical accident types, damages, and damages on environment and conduct the spatial proximity with local community and environmental receptors. Find the chemical accident vulnerable area of South Korea from 2002 to 2015 and add the vulnerable area of total period to examine the historically vulnerable area from the chemical accident in

  12. 3D printing cement based ink, and it’s application within the construction industry

    Directory of Open Access Journals (Sweden)

    Jianchao Zhu

    2017-01-01

    Full Text Available The 3D printing technology is the engine key of the third industrial revolution, after introduction of the automation in the eighteenth century and the concept of mass production in early of twentieth century. 3D printing technology now offers the magic solution to balance both the benefits, and overcome the major associated problem with the previous concept which was the need of repetition. The 3D printing technology has two main critical success factors: the printing machine and the printing material (ink. This paper focusses on cementitious-based materials and the ability to utilize the technology in the construction industry. The research took a qualitative approach based on previous literature reviews as well as in-house research results carried out by the authors’ employer Research and Development Center. The paper summarizes the approach towards to an appropriate mix design which can achieve the requirement of the printing process, and overcome the current constraints which are hindering the wide application of 3D print in construction industry. The authors believe that the research topic and result will have great impact on pushing the construction industry forward towards achieving the UAE Government’s strategy and target to achieve twenty-five percent (25% of the buildings in Dubai by the year of 2030 relying on the 3D printing methodology. The research also concluded that even though the technology is adding a great value to the construction industry, it must be remembered that the technology is still in its infancy, and further research is required to achieve even higher strength printing materials that would be workable in multi-story buildings without the need of additional steel reinforcement.

  13. Simulation-Based Planning of Optimal Conditions for Industrial Computed Tomography

    DEFF Research Database (Denmark)

    Reisinger, S.; Kasperl, S.; Franz, M.

    2011-01-01

    We present a method to optimise conditions for industrial computed tomography (CT). This optimisation is based on a deterministic simulation. Our algorithm finds task-specific CT equipment settings to achieve optimal exposure parameters by means of an STL-model of the specimen and a raytracing me...... method. These parameters are positioning and orientation of the specimen, X-ray tube voltage and prefilter thickness....

  14. Camera-Based Control for Industrial Robots Using OpenCV Libraries

    Science.gov (United States)

    Seidel, Patrick A.; Böhnke, Kay

    This paper describes a control system for industrial robots whose reactions base on the analysis of images provided by a camera mounted on top of the robot. We show that such control system can be designed and implemented with an open source image processing library and cheap hardware. Using one specific robot as an example, we demonstrate the structure of a possible control algorithm running on a PC and its interaction with the robot.

  15. Interactive Information Service Technology of Tea Industry Based on Demand-Driven

    OpenAIRE

    Shi , Xiaohui; Chen , Tian’en

    2013-01-01

    International audience; Information service technology is a bridge between user and information resource, also is the critical factor to weight the quality of information service. Focusing on the information service features of tea industry, the demand-driven and interaction of information service were emphasized in this paper. User and market as the major criterion for testing the quality of information service, the interactive information service mode based on the demand-driven was proposed...

  16. Applying the competence-based approach to management in the aerospace industry

    OpenAIRE

    Arpentieva Mariam; Duvalina Olga; Braitseva Svetlana; Gorelova Irina; Rozhnova Anna

    2018-01-01

    Problems of management in aerospace manufacturing are similar to those we observe in other sectors, the main of which is the flattening of strategic management. The main reason lies in the attitude towards human resource of the organization. In the aerospace industry employs 250 thousand people, who need individual approach. The individual approach can offer competence-based approach to management. The purpose of the study is proof of the benefits of the competency approach to human resource ...

  17. Life cycle assessment of bio-based, waterborne PU adhesives for fast industrial bonding processes

    OpenAIRE

    Maga, Daniel; Melchiors, Martin; Henneken, Hartmut; Taden, Andreas

    2017-01-01

    Aqueous PU dispersion adhesives based on high molecular weight, semi-crystalline polyurethane polymers have long demonstrated their outstanding performance and are a well-established bonding technology in several industrial applications. Due to their thermal activation properties and sharp melting area, these adhesives allow for efficient bonding processes with short bond strength build-up times. State-of-the-art is the use of polyester building blocks from fossil raw material resources to sy...

  18. Automated Bug Assignment: Ensemble-based Machine Learning in Large Scale Industrial Contexts

    OpenAIRE

    Jonsson, Leif; Borg, Markus; Broman, David; Sandahl, Kristian; Eldh, Sigrid; Runeson, Per

    2016-01-01

    Bug report assignment is an important part of software maintenance. In particular, incorrect assignments of bug reports to development teams can be very expensive in large software development projects. Several studies propose automating bug assignment techniques using machine learning in open source software contexts, but no study exists for large-scale proprietary projects in industry. The goal of this study is to evaluate automated bug assignment techniques that are based on machine learni...

  19. Microarray-based gene expression analysis of strong seed dormancy in rice cv. N22 and less dormant mutant derivatives.

    Science.gov (United States)

    Wu, Tao; Yang, Chunyan; Ding, Baoxu; Feng, Zhiming; Wang, Qian; He, Jun; Tong, Jianhua; Xiao, Langtao; Jiang, Ling; Wan, Jianmin

    2016-02-01

    Seed dormancy in rice is an important trait related to the pre-harvest sprouting resistance. In order to understand the molecular mechanisms of seed dormancy, gene expression was investigated by transcriptome analysis using seeds of the strongly dormant cultivar N22 and its less dormant mutants Q4359 and Q4646 at 24 days after heading (DAH). Microarray data revealed more differentially expressed genes in Q4359 than in Q4646 compared to N22. Most genes differing between Q4646 and N22 also differed between Q4359 and N22. GO analysis of genes differentially expressed in both Q4359 and Q4646 revealed that some genes such as those for starch biosynthesis were repressed, whereas metabolic genes such as those for carbohydrate metabolism were enhanced in Q4359 and Q4646 seeds relative to N22. Expression of some genes involved in cell redox homeostasis and chromatin remodeling differed significantly only between Q4359 and N22. The results suggested a close correlation between cell redox homeostasis, chromatin remodeling and seed dormancy. In addition, some genes involved in ABA signaling were down-regulated, and several genes involved in GA biosynthesis and signaling were up-regulated. These observations suggest that reduced seed dormancy in Q4359 was regulated by ABA-GA antagonism. A few differentially expressed genes were located in the regions containing qSdn-1 and qSdn-5 suggesting that they could be candidate genes underlying seed dormancy. Our work provides useful leads to further determine the underling mechanisms of seed dormancy and for cloning seed dormancy genes from N22. Copyright © 2015 Elsevier Masson SAS. All rights reserved.

  20. Assembly of strongly phosphorescent hetero-bimetallic and -trimetallic [2]catenane structures based on a coinage metal alkynyl system.

    Science.gov (United States)

    Chang, Xiao-Yong; Xu, Guang-Tao; Cao, Bei; Wang, Juan-Yu; Huang, Jie-Sheng; Che, Chi-Ming

    2017-11-01

    C 0000000000000000000000000000000000 0000000000000000000000000000000000 0000000000000000000000000000000000 0000000000000000000000000000000000 0000000000000000000000000000000000 0000000000000000000000000000000000 0000000000000000000000000000000000 0000000000000000000000000000000000 0000000000000000000000000000000000 0000000000000000000000000000000000 0000000000000000000000000000000000 1111111111111111111111111111111111 1111111111111111111111111111111111 0000000000000000000000000000000000 0000000000000000000000000000000000 0000000000000000000000000000000000 0000000000000000000000000000000000 1111111111111111111111111111111111 1111111111111111111111111111111111 0000000000000000000000000000000000 0000000000000000000000000000000000 0000000000000000000000000000000000 0000000000000000000000000000000000 1111111111111111111111111111111111 1111111111111111111111111111111111 0000000000000000000000000000000000 0000000000000000000000000000000000 0000000000000000000000000000000000 0000000000000000000000000000000000 0000000000000000000000000000000000 0000000000000000000000000000000000 0000000000000000000000000000000000 0000000000000000000000000000000000 0000000000000000000000000000000000 C - ligand) complex, which feature [2]catenane structures. The formation of the [2]catenane structure is significantly affected by the coinage metal ion(s) and change of the structure of the alkynyl ligand. These hetero-metallic [2]catenane structures are strongly luminescent with tunable emission λ max from 503 to 595 nm and Φ values up to 0.83.

  1. Novel Agent Based-approach for Industrial Diagnosis: A Combined use Between Case-based Reasoning and Similarity Measure

    Directory of Open Access Journals (Sweden)

    Fatima Zohra Benkaddour

    2016-12-01

    Full Text Available In spunlace nonwovens industry, the maintenance task is very complex, it requires experts and operators collaboration. In this paper, we propose a new approach integrating an agent- based modelling with case-based reasoning that utilizes similarity measures and preferences module. The main purpose of our study is to compare and evaluate the most suitable similarity measure for our case. Furthermore, operators that are usually geographically dispersed, have to collaborate and negotiate to achieve mutual agreements, especially when their proposals (diagnosis lead to a conflicting situation. The experimentation shows that the suggested agent-based approach is very interesting and efficient for operators and experts who collaborate in INOTIS enterprise.

  2. Virtual reality based support system for layout planning and programming of an industrial robotic work cell.

    Science.gov (United States)

    Yap, Hwa Jen; Taha, Zahari; Dawal, Siti Zawiah Md; Chang, Siow-Wee

    2014-01-01

    Traditional robotic work cell design and programming are considered inefficient and outdated in current industrial and market demands. In this research, virtual reality (VR) technology is used to improve human-robot interface, whereby complicated commands or programming knowledge is not required. The proposed solution, known as VR-based Programming of a Robotic Work Cell (VR-Rocell), consists of two sub-programmes, which are VR-Robotic Work Cell Layout (VR-RoWL) and VR-based Robot Teaching System (VR-RoT). VR-RoWL is developed to assign the layout design for an industrial robotic work cell, whereby VR-RoT is developed to overcome safety issues and lack of trained personnel in robot programming. Simple and user-friendly interfaces are designed for inexperienced users to generate robot commands without damaging the robot or interrupting the production line. The user is able to attempt numerous times to attain an optimum solution. A case study is conducted in the Robotics Laboratory to assemble an electronics casing and it is found that the output models are compatible with commercial software without loss of information. Furthermore, the generated KUKA commands are workable when loaded into a commercial simulator. The operation of the actual robotic work cell shows that the errors may be due to the dynamics of the KUKA robot rather than the accuracy of the generated programme. Therefore, it is concluded that the virtual reality based solution approach can be implemented in an industrial robotic work cell.

  3. Demand side management program evaluation based on industrial and commercial field data

    International Nuclear Information System (INIS)

    Eissa, M.M.

    2011-01-01

    Demand Response is increasingly viewed as an important tool for use by the electric utility industry in meeting the growing demand for electricity. There are two basic categories of demand response options: time varying retail tariffs and incentive Demand Response Programs. is applying the time varying retail tariffs program, which is not suitable according to the studied load curves captured from the industrial and commercial sectors. Different statistical studies on daily load curves for consumers connected to 22 kV lines are classified. The load curve criteria used for classification is based on peak ratio and night ratio. The data considered here is a set of 120 annual load curves corresponding to the electric power consumption (the western area in the King Saudi Arabia (KSA)) of many clients in winter and some months in the summer (peak period). The study is based on real data from several Saudi customer sectors in many geographical areas with larger commercial and industrial customers. The study proved that the suitable Demand Response for the ESC is the incentive program. - Highlights: → Study helps in selecting the proper demand side program. → A credit will be given for the customers during summer months. → Reduction in the electric bill. → Monthly bill credit is decreased based on customers' peak load reduction. → Guide for applying the proper demand side program suitable for the utility and customers.

  4. Model Property Based Material Balance and Energy Conservation Analysis for Process Industry Energy Transfer Systems

    Directory of Open Access Journals (Sweden)

    Fumin Ma

    2015-10-01

    Full Text Available Conventional historical data based material and energy balance analyses are static and isolated computations. Such methods cannot embody the cross-coupling effect of energy flow, material flow and information flow in the process industry; furthermore, they cannot easily realize the effective evaluation and comparison of different energy transfer processes by alternating the model module. In this paper, a novel method for material balance and energy conservation analysis of process industry energy transfer system is developed based on model property. Firstly, a reconfigurable energy transfer process model, which is independent of energy types and energy-consuming equipment, is presented from the viewpoint of the cross-coupling effect of energy flow, material flow and information flow. Thereafter the material balance determination is proposed based on both a dynamic incidence matrix and dynamic balance quantity. Moreover, the model-weighted conservation determination theorem is proved, and the energy efficiency analysis method is also discussed. Results confirmed the efficacy of the proposed methods, confirming its potential for use by process industry in energy efficiency analyses.

  5. The Optimization of Cyclic Links of Live Pig-Industry Chain Based on Circular Economics

    Directory of Open Access Journals (Sweden)

    Xing Liu

    2015-12-01

    Full Text Available To reduce waste and wastewater pollution and to improve the utilization rate of resources in the pig-industry chain, a circular economy of the chain can be developed. The key to constructing the circular economic system of the pig-industry chain is to determine the path of the cyclic materials and to design reasonable waste- and wastewater-treatment capacities. This paper focuses on the treatment and recycling of wastewater in the pig-industry chain and the treatment and recycling of waste into manure and feed. After giving the two circular paths, the paper proposes a multi-objective uncertainty-optimization model for the cyclic links of the pig-industry chain with the highest resource-reuse efficiency and the lowest construction cost based on the uncertainty of market demand. Using a combination of the neural network and genetic algorithm method for designing the solution process for the model, the paper finally introduces the determination methods of relevant parameters and verifies the feasibility and effectiveness of the model through a case study.

  6. Fast Hydrazone Reactants: Electronic and Acid/Base Effects Strongly Influence Rate at Biological pH

    OpenAIRE

    Kool, Eric T.; Park, Do-Hyoung; Crisalli, Pete

    2013-01-01

    Kinetics studies with structurally varied aldehydes and ketones in aqueous buffer at pH 7.4 reveal that carbonyl compounds with neighboring acid/base groups form hydrazones at accelerated rates. Similarly, tests of a hydrazine with a neighboring carboxylic acid group show that it also reacts at an accelerated rate. Rate constants for the fastest carbonyl/hydrazine combinations are 2–20 M−1sec−1, which is faster than recent strain-promoted cycloaddition reactions.

  7. Role of knowledge based engineering in Heavy Water Plants and its relevance to chemical industry

    International Nuclear Information System (INIS)

    Sonde, R.R.

    2002-01-01

    The development of heavy water technology under the Department of Atomic Energy in India is carried out based on a mission oriented programme and this was backed up by a committed and highly trained manpower with a single minded pursuit to achieve the goal of making India self-sufficient in this challenging area. The paper gives step by step methodology followed in completion of the above mission which has become a benchmark in the chemical industry. A large sized chemical industry (Heavy Water plant being once such industry) has many features which are similar. The process design typically includes design of reactors, distillation columns, heat exchange networks, fluid transfer machinery, support utility systems etc. Besides, there are other issues like safety engineering, selection of materials, commissioning strategies and operating philosophies which are quite common to almost all chemical industries. Heavy water board has engineered and set up large scale heavy water plants and the technology for production of heavy water is completely assimilated in India and this paper tries to bring about some of the strategies which were instrumental in achieving this. The story of success in this technology can most certainly be followed in development of any other process technology. The important factors in the development of this technology is based on integration of R and D, process design, engineering backup, safety features, role of good construction and project management and good operating practices. One more important fact in this technology development is continuous improvement in operation and use of knowledge based engineering for debottlenecking. (author)

  8. Thermophysical properties of composite fuel based on T grade coal (Alardinskoe deposit) and timber industry wastes

    Science.gov (United States)

    Yankovsky, S. A.; Tolokolnikov, A. A.; Gubin, V. E.; Slyusarskiy, K. V.; Zenkov, A. V.

    2017-09-01

    Results of experimental studies of composite fuel thermal decomposition processes based on T grade coal (Alardinskoe deposit) and timber industry wastes (fine wood) are presented. C, H, N, S weight percentage of each component of composite fuel was determined experimentally. It has been established that with an increase in wood concentration up to 50% in composite fuel, its energy characteristics decrease by less than 3.6%, while the yield of fly ash is 39.7%. An effective composite fuel composition has been defined as 50%/50%. Results of performed experimental studies suggest that it is possible to use composite fuels based on coal and wood at thermal power plants.

  9. Energy use of the land and water based industries; Uppdrag energikartlaeggning av de areella naeringarna

    Energy Technology Data Exchange (ETDEWEB)

    Stengaard, Linn; Persson, Tobias; Hoegberg, Martina; Einarson, Elin; Gustafsson, Christel; Karlsson, Stefan; Bengtsberg, Rickard; Rehnfeldt, Laila

    2010-02-15

    The report presents a review of energy use within the land- and water-based industries. A number of proposals are reported on technical measures for energy efficiency and measures for reduced emissions of greenhouse gases that can be implemented in each sector. Instruments which may act to promote the implementation of measures is also reported. As the work with examining the energy use progressed, it became clear that the existing statistics and knowledge base was insufficient to produce a satisfactory quantitative analysis of the socio-economic and financial consequences of the measures proposed. These deficiencies are identified in the report

  10. Delirium is a strong risk factor for dementia in the oldest-old: a population-based cohort study

    Science.gov (United States)

    Muniz Terrera, Graciela; Keage, Hannah; Rahkonen, Terhi; Oinas, Minna; Matthews, Fiona E.; Cunningham, Colm; Polvikoski, Tuomo; Sulkava, Raimo; MacLullich, Alasdair M. J.; Brayne, Carol

    2012-01-01

    .1–3.5, P = 0.02), but in those with a history of delirium, there was no significant relationship (odds ratio 1.2, 95% confidence interval 0.2–6.7, P = 0.85). This trend for odds ratios to be closer to unity in the delirium and dementia group was observed for neuritic amyloid, apolipoprotein ε status, presence of infarcts, α-synucleinopathy and neuronal loss in substantia nigra. These findings are the first to demonstrate in a true population study that delirium is a strong risk factor for incident dementia and cognitive decline in the oldest-old. However, in this study, the relationship did not appear to be mediated by classical neuropathologies associated with dementia. PMID:22879644

  11. Physical and mechanical properties of composites based on polypropylene and timber industry waste

    Science.gov (United States)

    Kajaks, Janis; Kalnins, Karlis; Uzulis, Sandris; Matvejs, Juris

    2014-12-01

    Wood polymer composites (WPC) are widely used materials in different industries because of many application, processing and recycling advantages compared to traditional thermoplastic polymer composites containing mineral fillers [1]. However, the commercial success of these materials primarily depends on improvements in moisture performance, and ability to use recycled and waste material as a wood filler. The research regarding WPC is focused on the chemical interaction between dissimilar material components with an aim to provide strong adhesion to the surface of wood filler-polymer matrix [2]. The goal of this paper was to present results of investigations of exploitation properties of composites containing different plywood production industry byproducts and polypropylene. It was shown that modification of all composites with coupling agent maleated polypropylene (MAPP) considerably improve physical mechanical properties (tensile, flexural, impact strength) of WPC. MAPP (5 wt.%) additions also significantly improve water resistance of WPC. SEM investigations confirmed positive action of interfacial modifiers on strengthening of adhesion interaction between components wood and PP matrix that give considerable increase of exploitation properties of the WPC.

  12. Energy demand forecasting in Iranian metal industry using linear and nonlinear models based on evolutionary algorithms

    International Nuclear Information System (INIS)

    Piltan, Mehdi; Shiri, Hiva; Ghaderi, S.F.

    2012-01-01

    Highlights: ► Investigating different fitness functions for evolutionary algorithms in energy forecasting. ► Energy forecasting of Iranian metal industry by value added, energy prices, investment and employees. ► Using real-coded instead of binary-coded genetic algorithm decreases energy forecasting error. - Abstract: Developing energy-forecasting models is known as one of the most important steps in long-term planning. In order to achieve sustainable energy supply toward economic development and social welfare, it is required to apply precise forecasting model. Applying artificial intelligent models for estimation complex economic and social functions is growing up considerably in many researches recently. In this paper, energy consumption in industrial sector as one of the critical sectors in the consumption of energy has been investigated. Two linear and three nonlinear functions have been used in order to forecast and analyze energy in the Iranian metal industry, Particle Swarm Optimization (PSO) and Genetic Algorithms (GAs) are applied to attain parameters of the models. The Real-Coded Genetic Algorithm (RCGA) has been developed based on real numbers, which is introduced as a new approach in the field of energy forecasting. In the proposed model, electricity consumption has been considered as a function of different variables such as electricity tariff, manufacturing value added, prevailing fuel prices, the number of employees, the investment in equipment and consumption in the previous years. Mean Square Error (MSE), Root Mean Square Error (RMSE), Mean Absolute Deviation (MAD) and Mean Absolute Percent Error (MAPE) are the four functions which have been used as the fitness function in the evolutionary algorithms. The results show that the logarithmic nonlinear model using PSO algorithm with 1.91 error percentage has the best answer. Furthermore, the prediction of electricity consumption in industrial sector of Turkey and also Turkish industrial sector

  13. Evaluating University-Industry Collaboration: The European Foundation of Quality Management Excellence Model-Based Evaluation of University-Industry Collaboration

    Science.gov (United States)

    Kauppila, Osmo; Mursula, Anu; Harkonen, Janne; Kujala, Jaakko

    2015-01-01

    The growth in university-industry collaboration has resulted in an increasing demand for methods to evaluate it. This paper presents one way to evaluate an organization's collaborative activities based on the European Foundation of Quality Management excellence model. Success factors of collaboration are derived from literature and compared…

  14. Study on Spatial Spillover Effects of Logistics Industry Development for Economic Growth in the Yangtze River Delta City Cluster Based on Spatial Durbin Model.

    Science.gov (United States)

    Xu, Xinxing; Wang, Yuhong

    2017-12-04

    The overall entropy method is used to evaluate the development level of the logistics industry in the city based on a mechanism analysis of the spillover effect of the development of the logistics industry on economic growth, according to the panel data of 26 cities in the Yangtze River delta. On this basis, the paper uses the spatial durbin model to study the direct impact of the development of the logistics industry on economic growth and the spatial spillover effect. The results show that the direct impact coefficient of the development of the logistics industry in the Yangtze River Delta urban agglomeration on local economic growth is 0.092, and the significant spatial spillover effect on the economic growth in the surrounding area is 0.197. Compared with the labor force input, capital investment and the degree of opening to the world, and government functions, the logistics industry's direct impact coefficient is the largest, other than capital investment; the coefficient of the spillover effect is higher than other control variables, making it a "strong engine" of the Yangtze River Delta urban agglomeration economic growth.

  15. SVM-Based Dynamic Reconfiguration CPS for Manufacturing System in Industry 4.0

    Directory of Open Access Journals (Sweden)

    Hyun-Jun Shin

    2018-01-01

    Full Text Available CPS is potential application in various fields, such as medical, healthcare, energy, transportation, and defense, as well as Industry 4.0 in Germany. Although studies on the equipment aging and prediction of problem have been done by combining CPS with Industry 4.0, such studies were based on small numbers and majority of the papers focused primarily on CPS methodology. Therefore, it is necessary to study active self-protection to enable self-management functions, such as self-healing by applying CPS in shop-floor. In this paper, we have proposed modeling of shop-floor and a dynamic reconfigurable CPS scheme that can predict the occurrence of anomalies and self-protection in the model. For this purpose, SVM was used as a machine learning technology and it was possible to restrain overloading in manufacturing process. In addition, we design CPS framework based on machine learning for Industry 4.0, simulate it, and perform. Simulation results show the simulation model autonomously detects the abnormal situation and it is dynamically reconfigured through self-healing.

  16. A Resource Service Model in the Industrial IoT System Based on Transparent Computing.

    Science.gov (United States)

    Li, Weimin; Wang, Bin; Sheng, Jinfang; Dong, Ke; Li, Zitong; Hu, Yixiang

    2018-03-26

    The Internet of Things (IoT) has received a lot of attention, especially in industrial scenarios. One of the typical applications is the intelligent mine, which actually constructs the Six-Hedge underground systems with IoT platforms. Based on a case study of the Six Systems in the underground metal mine, this paper summarizes the main challenges of industrial IoT from the aspects of heterogeneity in devices and resources, security, reliability, deployment and maintenance costs. Then, a novel resource service model for the industrial IoT applications based on Transparent Computing (TC) is presented, which supports centralized management of all resources including operating system (OS), programs and data on the server-side for the IoT devices, thus offering an effective, reliable, secure and cross-OS IoT service and reducing the costs of IoT system deployment and maintenance. The model has five layers: sensing layer, aggregation layer, network layer, service and storage layer and interface and management layer. We also present a detailed analysis on the system architecture and key technologies of the model. Finally, the efficiency of the model is shown by an experiment prototype system.

  17. Towards the Building Information Modeling-Based Capital Project Lifecycle Management in the Luxury Yacht Industry

    Directory of Open Access Journals (Sweden)

    Liu Fuyong

    2017-11-01

    Full Text Available It will be a new approach that BIM’s capital project lifecycle management (CPLM applied to the yacht industry. This paper explored the feasibility of applying the principles and rationales of BIM for capital project lifecycle management in luxury yacht design, engineering, fabrication, construction and operation. The paper examined the premises and backbone technology of BIM. It then evaluated leading naval engineering and shipbuilding software applications and their development trends from the functional lens of BIM. To systematically investigate a BIM-based approach for capital project lifecycle management (CPLM in the luxury yacht industry, the paper proposed and outlined an implementation framework. A case study and a student competition use case were discussed to delineate the core constituents and processes of the proposed framework. The case of BIM was reviewed. Through the domestic custom luxury yacht design and prototyping student competition, the application of this framework in educational research is demonstrated and the initial quantitative assessment of the framework is carried out. Conclusions: a BIM-based CPLM implementation framework can help the luxury yacht industry capitalize on the global transformation to an information-centric and data-driven new business paradigm in shipbuilding with integrated design, manufacturing and production.

  18. Metabolic engineering of Escherichia coli: a sustainable industrial platform for bio-based chemical production.

    Science.gov (United States)

    Chen, Xianzhong; Zhou, Li; Tian, Kangming; Kumar, Ashwani; Singh, Suren; Prior, Bernard A; Wang, Zhengxiang

    2013-12-01

    In order to decrease carbon emissions and negative environmental impacts of various pollutants, more bulk and/or fine chemicals are produced by bioprocesses, replacing the traditional energy and fossil based intensive route. The Gram-negative rod-shaped bacterium, Escherichia coli has been studied extensively on a fundamental and applied level and has become a predominant host microorganism for industrial applications. Furthermore, metabolic engineering of E. coli for the enhanced biochemical production has been significantly promoted by the integrated use of recent developments in systems biology, synthetic biology and evolutionary engineering. In this review, we focus on recent efforts devoted to the use of genetically engineered E. coli as a sustainable platform for the production of industrially important biochemicals such as biofuels, organic acids, amino acids, sugar alcohols and biopolymers. In addition, representative secondary metabolites produced by E. coli will be systematically discussed and the successful strategies for strain improvements will be highlighted. Moreover, this review presents guidelines for future developments in the bio-based chemical production using E. coli as an industrial platform. Copyright © 2013 Elsevier Inc. All rights reserved.

  19. Synergistic Effect Evaluation of Main and Auxiliary Industry of Power Grid Based on the Information Fusion Technology from the Perspective of Sustainable Development of Enterprises

    Directory of Open Access Journals (Sweden)

    Xiaomin Xu

    2018-02-01

    Full Text Available With the development of the diversified economic union, the power grid enterprises’ auxiliary industries are continuing to grow and develop faster. However, in the process of development, power grid enterprises are still faced with the problem of low efficiency of the management of main and auxiliary and resource allocation and utilization. Thus, the synergistic development evaluation for power grid enterprises’ main and auxiliary industries has a strong practical significance. It can help the managers to find the short board of each industry and search for the exploration direction for improvement to promote the sustainable development of the main and auxiliary industries comprehensively. It can also provide the reference for improving the management level of power grid enterprises. Information fusion technology, as a process of information processing for decision making, can make use of multi-source information synergistically to get a more objective and more essential understanding of the same thing or the same goal. It has been applied to many fields in a mature way. Based on the characteristics of each industry, this paper constructs a synergistic effect evaluation index system of the main and auxiliary industries from the aspects of management foundation, resource integration, operational efficiency and effectiveness. The variable precision fuzzy rough set (VPFRS is introduced to screen the index system, eliminate redundant indexes, retain key indexes and improve the efficiency and accuracy of evaluation effectively. Meanwhile, based on the characteristic of dealing with the imprecise problem of the vague set, this paper establishes the evaluation model based on information fusion technology of the variable precision fuzzy rough set and vague set (VPFRS-Vague. In order to verify the validity of the model, five typical companies belonging to power grid enterprises are selected as examples for analysis to prove the validity and

  20. Lattice and electronic properties of strongly correlated PuCoGa5 based on first principles calculations and thermodynamic modelling

    Science.gov (United States)

    Filanovich, A. N.; Povzner, A. A.

    2017-12-01

    In the framework of density functional theory method, the ground state energy of the PuCoGa5 compound is calculated for different values of the unit cell volume. The obtained data were incorporated into the thermodynamic model, which was utilized to calculate the temperature dependencies of thermal and elastic properties of PuCoGa5. The parameters of the developed model were estimated based on data of ab initio phonon spectrum. The Gruneisen parameters, which characterize degree of anharmonicity of the acoustic and optical phonons, are obtained. Using experimental data, non-lattice contributions to the coefficient of thermal expansion and heat capacity are determined. The nature of observed anomalies of the properties of PuCoGa5 is discussed, in particular, the possibility of a valence phase transition.

  1. Empirical Research on Ecological Development Level of Resource-based Industries-Base on the data of the Silk Road Economic Belt Core Zone

    Science.gov (United States)

    Wang, Lei; Yan, Min

    2017-11-01

    Industrial ecology is the epitome of sustainable development in industry level, is one effective gateway to realizing green transformation. On the basis of industrial ecology development, including resource efficiency and environmental efficiency of ecological evaluation index system, this paper evaluates the level of industrial ecology development of resource-based industries in Xinjiang using entropy method. Research shows that the overall ecological development level of resource-based industries has remained at continuous improved trend with slow improvement in resource efficiency, and relative faster improvement in environmental efficiency. With economic development entering into the period of new normal at the end of the “twelfth five year plan”, the resource efficiency of ecological development of resource-based industries demonstrated a downward trend. The overall level of industrial ecology also faced with certain fluctuations, various ecological development level of resource-based industries also presented a downward trend. To promote ecological development of resource-based industries in Xinjiang, countermeasures and suggestions are initiated.

  2. Measuring Corporate Social Responsibility in Gambling Industry: Multi-Items Stakeholder Based Scales

    Directory of Open Access Journals (Sweden)

    Jian Ming Luo

    2017-11-01

    Full Text Available Macau gambling companies included Corporate Social Responsibility (CSR information in their annual reports and websites as a marketing tool. Responsible Gambling (RG had been a recurring issue in Macau’s chief executive report since 2007 and in many of the major gambling operators’ annual report. The purpose of this study was to develop a measurement scale on CSR activities in Macau. Items on the measurement scale were based on qualitative research with data collected from employees in Macau’s gambling industry and academic literature. First and Second Order confirmatory factor analysis (CFA were used to verify the reliability and validity of the measurement scale. The results of this study were satisfactory and were supported by empirical evidence. This study provided recommendations to gambling stakeholders, including practitioners, government officers, customers and shareholders, and implications to promote CSR practice in Macau gambling industry.

  3. Anticipating the Chaotic Behaviour of Industrial Systems Based on Stochastic, Event-Driven Simulations

    Science.gov (United States)

    Bruzzone, Agostino G.; Revetria, Roberto; Simeoni, Simone; Viazzo, Simone; Orsoni, Alessandra

    2004-08-01

    In logistics and industrial production managers must deal with the impact of stochastic events to improve performances and reduce costs. In fact, production and logistics systems are generally designed considering some parameters as deterministically distributed. While this assumption is mostly used for preliminary prototyping, it is sometimes also retained during the final design stage, and especially for estimated parameters (i.e. Market Request). The proposed methodology can determine the impact of stochastic events in the system by evaluating the chaotic threshold level. Such an approach, based on the application of a new and innovative methodology, can be implemented to find the condition under which chaos makes the system become uncontrollable. Starting from problem identification and risk assessment, several classification techniques are used to carry out an effect analysis and contingency plan estimation. In this paper the authors illustrate the methodology with respect to a real industrial case: a production problem related to the logistics of distributed chemical processing.

  4. Mapping of unknown industrial plant using ROS-based navigation mobile robot

    Science.gov (United States)

    Priyandoko, G.; Ming, T. Y.; Achmad, M. S. H.

    2017-10-01

    This research examines how humans work with teleoperated unmanned mobile robot inspection in industrial plant area resulting 2D/3D map for further critical evaluation. This experiment focuses on two parts, the way human-robot doing remote interactions using robust method and the way robot perceives the environment surround as a 2D/3D perspective map. ROS (robot operating system) as a tool was utilized in the development and implementation during the research which comes up with robust data communication method in the form of messages and topics. RGBD SLAM performs the visual mapping function to construct 2D/3D map using Kinect sensor. The results showed that the mobile robot-based teleoperated system are successful to extend human perspective in term of remote surveillance in large area of industrial plant. It was concluded that the proposed work is robust solution for large mapping within an unknown construction building.

  5. An Improved Generalized-Trend-Diffusion-Based Data Imputation for Steel Industry

    Directory of Open Access Journals (Sweden)

    Ying Liu

    2013-01-01

    Full Text Available Integrality and validity of industrial data are the fundamental factors in the domain of data-driven modeling. Aiming at the data missing problem of gas flow in steel industry, an improved Generalized-Trend-Diffusion (iGTD algorithm is proposed in this study, where in particular it considers the sort of problem with data properties of consecutively missing and small samples. And, the imputation accuracy can be greatly increased by the proposed Gaussian membership-based GTD which expands the useful knowledge of data samples. In addition, the imputation order is further discussed to enhance the sequential forecasting accuracy of gas flow. To verify the effectiveness of the proposed method, a series of experiments that consists of three categories of data features in the gas system is presented, and the results indicate that this method is comprehensively better for the imputation of the periodical-like data and the time-series-like data.

  6. Industrial Robotics Platform for Simulation Design, Planning and Optimization based on Off-line CAD Programming

    Directory of Open Access Journals (Sweden)

    Baizid Khelifa

    2016-01-01

    Full Text Available This paper presents IRoSim: Industrial Robotics Simulation Design Planning and Optimization platform which we developed based on SolidWorks API. The main objective is to integrate features from mechanical and robotics CAD software into the same platform in order to facilitate the development process through a friendly interaction interface. The platform provides important steps to develop a given robotized task such as: defining a given task, CAD learning of the end-effectors’ trajectory, checking the manipulator’s reach-ability to perform a task, simulating the motion and preventing the trajectory from possible collisions. To assess the usability of the proposed platform, a car’s doors painting task using a 6 Degree Of Freedom industrial manipulator has been developed.

  7. Carbon-14 based determination of the biogenic fraction of industrial CO(2) emissions - application and validation.

    Science.gov (United States)

    Palstra, S W L; Meijer, H A J

    2010-05-01

    The (14)C method is a very reliable and sensitive method for industrial plants, emission authorities and emission inventories to verify data estimations of biogenic fractions of CO(2) emissions. The applicability of the method is shown for flue gas CO(2) samples that have been sampled in 1-h intervals at a coal- and wood-fired power plant and a waste incineration plant. Biogenic flue gas CO(2) fractions of 5-10% and 48-50% have been measured at the power plant and the waste incineration plant, respectively. The reliability of the method has been proven by comparison of the power plant results with those based on carbon mass input and output data of the power plant. At industrial plants with relatively low biogenic CO(2) fraction (<10%) the results need to be corrected for sampled (14)CO(2) from atmospheric air. Copyright 2009 Elsevier Ltd. All rights reserved.

  8. Export diversification and resource-based industrialization: the case of natural gas

    International Nuclear Information System (INIS)

    Massol, Olivier; Banal-Estanol, Albert

    2012-01-01

    For resource-rich economies, primary commodity specialization has often been considered to be detrimental to growth. Accordingly, export diversification policies centered on resource-based industries have long been advocated as effective ways to moderate the large variability of export revenues. This paper discusses the applicability of a mean-variance portfolio approach to design these strategies and proposes some modifications aimed at capturing the key features of resource processing industries (presence of scale economies and investment lumpiness). These modifications help make the approach more plausible for use in resource-rich countries. An application to the case of natural gas is then discussed using data obtained from Monte Carlo simulations of a calibrated empirical model. Lastly, the proposed framework is put to work to evaluate the performances of the diversification strategies implemented in a set of nine gas-rich economies. These results are then used to formulate some policy recommendations. (authors)

  9. Drug and alcohol abuse: the bases for employee assistance programs in the nuclear-utility industry

    Energy Technology Data Exchange (ETDEWEB)

    Radford, L.R.; Rankin, W.L.; Barnes, V.; McGuire, M.V.; Hope, A.M.

    1983-07-01

    This report describes the nature, prevalence, and trends of drug and alcohol abuse among members of the US adult population and among personnel in non-nuclear industries. Analogous data specific to the nuclear utility industry are not available, so these data were gathered in order to provide a basis for regulatory planning. The nature, prevalence, and trend inforamtion was gathered using a computerized literature, telephone discussions with experts, and interviews with employee assistance program representatives from the Seattle area. This report also evaluates the possible impacts that drugs and alcohol might have on nuclear-related job performance, based on currently available nuclear utility job descriptions and on the scientific literature regarding the impairing effects of drugs and alcohol on human performance. Employee assistance programs, which can be used to minimize or eliminate job performance decrements resulting from drug or alcohol abuse, are also discussed.

  10. Decomposing the Influencing Factors of Industrial Sector Carbon Dioxide Emissions in Inner Mongolia Based on the LMDI Method

    OpenAIRE

    Rina Wu; Jiquan Zhang; Yuhai Bao; Quan Lai; Siqin Tong; Youtao Song

    2016-01-01

    Understanding of the influencing factors of industrial sector carbon dioxide emissions is essential to reduce natural and anthropogenic greenhouse gas emissions. In this paper, we applied the Logarithmic Mean Divisia Index (LMDI) decomposition method based on the extended Kaya identity to analyze the changes in industrial carbon dioxide emissions resulting from 39 industrial sectors in Inner Mongolia northeast of China over the period 2003–2012. The factors were divided into five types of eff...

  11. Thermal Conductivity of the Iron-Based Superconductor FeSe: Nodeless Gap with a Strong Two-Band Character.

    Science.gov (United States)

    Bourgeois-Hope, P; Chi, S; Bonn, D A; Liang, R; Hardy, W N; Wolf, T; Meingast, C; Doiron-Leyraud, N; Taillefer, Louis

    2016-08-26

    The thermal conductivity κ of the iron-based superconductor FeSe was measured at temperatures down to 75 mK in magnetic fields up to 17 T. In a zero magnetic field, the electronic residual linear term in the T=0  K limit, κ_{0}/T, is vanishingly small. The application of a magnetic field B causes an exponential increase in κ_{0}/T initially. Those two observations show that there are no zero-energy quasiparticles that carry heat and therefore no nodes in the superconducting gap of FeSe. The full field dependence of κ_{0}/T has the classic two-step shape of a two-band superconductor: a first rise at very low field, with a characteristic field B^{⋆}≪B_{c2}, and then a second rise up to the upper critical field B_{c2}. This shows that the superconducting gap is very small (but finite) on one of the pockets in the Fermi surface of FeSe. We estimate that the minimum value of the gap, Δ_{min}, is an order of magnitude smaller than the maximum value, Δ_{max}.

  12. Evolution of nano-rheological properties of Nafion{sup ®} thin films during pH modification by strong base treatment: A static and dynamic force spectroscopy study

    Energy Technology Data Exchange (ETDEWEB)

    Eslami, Babak; López-Guerra, Enrique A.; Raftari, Maryam; Solares, Santiago D., E-mail: ssolares@gwu.edu [Department of Mechanical and Aerospace Engineering, The George Washington University, Washington, DC 20052 (United States)

    2016-04-28

    Addition of a strong base to Nafion{sup ®} proton exchange membranes is a common practice in industry to increase their overall performance in fuel cells. Here, we investigate the evolution of the nano-rheological properties of Nafion thin films as a function of the casting pH, via characterization with static and dynamic, contact and intermittent-contact atomic force microscopy (AFM) techniques. The addition of KOH causes non-monotonic changes in the viscoelastic properties of the films, which behave as highly dissipative, softer materials near neutral pH values, and as harder, more elastic materials at extreme pH values. We quantify this behavior through calculation of the temporal evolution of the compliance and the glassy compliance under static AFM measurements. We complement these observations with dynamic AFM metrics, including dissipated power and virial (for intermittent-contact-mode measurements), and contact resonance frequency and quality factor (for dynamic contact-mode measurements). We explain the non-monotonic material property behavior in terms of the degree of ionic crosslinking and moisture content of the films, which vary with the addition of KOH. This work focuses on the special case study of the addition of strong bases, but the observed mechanical property changes are broadly related to water plasticizing effects and ionic crosslinking, which are also important in other types of films.

  13. Strong indication of an extinction-based saturation of the flora on the Pacific Robinson Crusoe Islands.

    Science.gov (United States)

    Greimler, Josef; Schulze, Christian H; López Sepúlveda, Patricio; Novoa, Patricio; Gatica, Alejandro; Reiter, Karl; Wessely, Johannes; Baeza, Carlos; Peñailillo, Patricio; Ruiz, Eduardo; Stuessy, Tod

    2018-03-01

    Oceanic islands are vulnerable ecosystems and their flora has been under pressure since the arrival of the first humans. Human activities and both deliberately and inadvertently introduced biota have had and continue to have a severe impact on island endemic plants. The number of alien plants has increased nearly linearly on many islands, perhaps resulting in extinction-based saturation of island floras. Here, we provide evidence for such a scenario in Alejandro Selkirk, Robinson Crusoe Islands (Archipelago Juan Fernández, Chile). We compared species richness and species composition of historical vegetation samples from 1917 with recent ones from 2011. Changes in species' relative occurrence frequency were related to their taxonomic affiliation, dispersal mode, distribution status, and humidity and temperature preferences. While total species richness of vascular plants remained relatively similar, species composition changed significantly. Plants endemic to the Robinson Crusoe Islands declined, exotic species increased substantially within the period of ca. 100 years. Further, the relative occurrence frequency of plants with preferences for very warm and humid climate decreased, while the opposite was found for plants preferring drier and colder environments. Potential drivers responsible for this dramatic shift in the vegetation within only one century might have been the large goat population affecting especially small populations of endemic plants and climatic changes. Taking into account a substantial extinction debt, we expect further shifts in the vegetation of this small oceanic island toward alien plants. This would have significant negative consequences on global biodiversity, considering that island floras contribute substantially to global plant species richness due to their high proportion of endemics.

  14. High-Accuracy Positioning of an Industrial Robot Using Image/PSD-Based Hybrid Servo Control

    Science.gov (United States)

    Liu, Yong; Xi, Ning; Shen, Yantao

    2011-04-01

    This article presents a new and effective multi-sensor-based control strategy for high-accuracy/precision and high-efficiency automatic robot positioning in the field of industrial robot calibration. The strategy combines both coarsely visual servo and fine position-sensitive detector (PSD) servo control methods. In a large field of view, an image-based visual servo control system is employed to roughly guide the laser spot, which is from a single laser pointer attached to the end-effector of a robot to project to the segmented PSDs with a resolution of better than 0.1 µm. Once the laser spot is projected onto the active area of the PSD surface, the control will automatically be switched to the PSD feedback and servoing for fine positioning. An image/PSD-based servoing system has been presented. Based on the system, the controller design and switch logic of the hybrid servoing are given. The experimental results conducted on an ABB industrial robot IRB1600 verified the effectiveness of the developed visual/PSD hybrid servo controllers, as well as demonstrated that the high accuracy of 30 µm of robot positioning can be approached. The development of the hybrid control method and system has played a major role in achieving high-performance automatic robot calibration.

  15. Industrial wastewater advanced treatment via catalytic ozonation with an Fe-based catalyst.

    Science.gov (United States)

    Li, Xufang; Chen, Weiyu; Ma, Luming; Wang, Hongwu; Fan, Jinhong

    2018-03-01

    An Fe-based catalyst was used as a heterogeneous catalyst for the ozonation of industrial wastewater, and key operational parameters (pH and catalyst dosage) were studied. The results indicated that the Fe-based catalyst significantly improved the mineralization of organic pollutants in wastewater. TOC (total organic carbon) removal was high, at 78.7%, with a catalyst concentration of 200 g/L, but only 31.6% with ozonation alone. The Fe-based catalyst significantly promoted ozone decomposition by 70% in aqueous solution. Hydroxyl radicals (·OH) were confirmed to be existed directly via EPR (electron paramagnetic resonance) experiments, and ·OH were verified to account for about 34.4% of TOC removal with NaHCO 3 as a radical scavenger. Through characterization by SEM-EDS (field emission scanning electron microscope with energy-dispersive spectrometer), XRD (X-ray powder diffraction) and XPS (X-ray photoelectron spectroscopy), it was deduced that FeOOH on the surface of the catalyst was the dominant contributor to the catalytic efficiency. The catalyst was certified as having good stability and excellent reusability based on 50 successive operations and could be used as a filler simultaneously. Thereby, it is a promising catalyst for practical industrial wastewater advanced treatment. Copyright © 2017 Elsevier Ltd. All rights reserved.

  16. Missouri Industrial Wastewater System Characterization and Analysis, Whiteman Air Force Base

    National Research Council Canada - National Science Library

    Morgan, James

    1998-01-01

    .... The IWSCS analysis indicated industrial wastewater treatment plant unit operations were performing significantly below design expectations and the overall volume and character of industrial waste...

  17. Design for sustainability of industrial symbiosis based on emergy and multi-objective particle swarm optimization.

    Science.gov (United States)

    Ren, Jingzheng; Liang, Hanwei; Dong, Liang; Sun, Lu; Gao, Zhiqiu

    2016-08-15

    Industrial symbiosis provides novel and practical pathway to the design for the sustainability. Decision support tool for its verification is necessary for practitioners and policy makers, while to date, quantitative research is limited. The objective of this work is to present an innovative approach for supporting decision-making in the design for the sustainability with the implementation of industrial symbiosis in chemical complex. Through incorporating the emergy theory, the model is formulated as a multi-objective approach that can optimize both the economic benefit and sustainable performance of the integrated industrial system. A set of emergy based evaluation index are designed. Multi-objective Particle Swarm Algorithm is proposed to solve the model, and the decision-makers are allowed to choose the suitable solutions form the Pareto solutions. An illustrative case has been studied by the proposed method, a few of compromises between high profitability and high sustainability can be obtained for the decision-makers/stakeholders to make decision. Copyright © 2016 Elsevier B.V. All rights reserved.

  18. Ethnography From the Inside: Industry-based Research in the Commercial Sydney EDM Scene

    Directory of Open Access Journals (Sweden)

    Ed Montano

    2013-11-01

    Full Text Available Drawing on a decade of ethnographic research and participant observation in the Sydney commercial electronic dance music (EDM scene, this article explores some of the issues and tensions in conducting industry-based fieldwork in EDM culture. Through interviews with some of the scene’s key DJs, promoters, media workers and other industry personnel, consideration is given to designing a set of guiding principles for researchers undertaking “behind-the-scenes”, localised EDM research. The starting point for my discussion is my work in dance music retail, specifically at Central Station Records between 2002 and 2005. The level of access this work granted me to particular industry workers and the subsequent networks I was able to establish proved invaluable to my research not only when seeking out interviewees but also when seeking entry to clubs and events. However, while insider knowledge has numerous benefits, convincing contacts of the relevance of research can be problematic, as can maintaining a critical distance.

  19. Sustainability of the Tourism Industry, Based on Financial Key Performance Indicators

    Directory of Open Access Journals (Sweden)

    Adriana Dutescu

    2014-11-01

    Full Text Available Even if there is a real need of a set of key performance indicators for small and medium sized enterprises, this is not yet considered to be satisfied. Our research is focused on two main aspects, each of them individually important for the users of accounting information: the basic indicators specific for analysing operational performance and for decision making and the trend of the key performance indicators in the context of the economic crisis. The starting point of the study is a questionnaire addressed to small and medium sized enterprises activating in the tourism area, especially in the hotel industry. The respondents answered the questions in perfect anonymity by choosing one of the multiple choices for some of them and offering open answers to the others. Our analysis reveals a fair view of the dynamic of the most used key performance indicators in Romanian hotel industry, the limits of their interpretation and usage and the evolution of the financial and economic performance. The declared purpose of the research is to set the bases of a starting point in order to provide solutions for improving the relevance and the usage of these indicators in this domain, in the context of a sustainable business, taking into account the nowadays status of the economy in general and in particular the hotel industry.

  20. [Method for environmental management in paper industry based on pollution control technology simulation].

    Science.gov (United States)

    Zhang, Xue-Ying; Wen, Zong-Guo

    2014-11-01

    To evaluate the reduction potential of industrial water pollutant emissions and to study the application of technology simulation in pollutant control and environment management, an Industrial Reduction Potential Analysis and Environment Management (IRPAEM) model was developed based on coupling of "material-process-technology-product". The model integrated bottom-up modeling and scenario analysis method, and was applied to China's paper industry. Results showed that under CM scenario, the reduction potentials of waster water, COD and ammonia nitrogen would reach 7 x 10(8) t, 39 x 10(4) t and 0.3 x 10(4) t, respectively in 2015, 13.8 x 10(8) t, 56 x 10(4) t and 0.5 x 10(4) t, respectively in 2020. Strengthening the end-treatment would still be the key method to reduce emissions during 2010-2020, while the reduction effect of structure adjustment would be more obvious during 2015-2020. Pollution production could basically reach the domestic or international advanced level of clean production in 2015 and 2020; the index of wastewater and ammonia nitrogen would basically meet the emission standards in 2015 and 2020 while COD would not.

  1. Industrial Adoption of Model-Based Systems Engineering: Challenges and Strategies

    Science.gov (United States)

    Maheshwari, Apoorv

    As design teams are becoming more globally integrated, one of the biggest challenges is to efficiently communicate across the team. The increasing complexity and multi-disciplinary nature of the products are also making it difficult to keep track of all the information generated during the design process by these global team members. System engineers have identified Model-based Systems Engineering (MBSE) as a possible solution where the emphasis is placed on the application of visual modeling methods and best practices to systems engineering (SE) activities right from the beginning of the conceptual design phases through to the end of the product lifecycle. Despite several advantages, there are multiple challenges restricting the adoption of MBSE by industry. We mainly consider the following two challenges: a) Industry perceives MBSE just as a diagramming tool and does not see too much value in MBSE; b) Industrial adopters are skeptical if the products developed using MBSE approach will be accepted by the regulatory bodies. To provide counter evidence to the former challenge, we developed a generic framework for translation from an MBSE tool (Systems Modeling Language, SysML) to an analysis tool (Agent-Based Modeling, ABM). The translation is demonstrated using a simplified air traffic management problem and provides an example of a potential quite significant value: the ability to use MBSE representations directly in an analysis setting. For the latter challenge, we are developing a reference model that uses SysML to represent a generic infusion pump and SE process for planning, developing, and obtaining regulatory approval of a medical device. This reference model demonstrates how regulatory requirements can be captured effectively through model-based representations. We will present another case study at the end where we will apply the knowledge gained from both case studies to a UAV design problem.

  2. [Use of strong opioids in chronic non-cancer pain in adults. Evidence-based recommendations from the French Society for the Study and Treatment of Pain].

    Science.gov (United States)

    Moisset, Xavier; Trouvin, Anne-Priscille; Tran, Viet-Thi; Authier, Nicolas; Vergne-Salle, Pascale; Piano, Virginie; Martinez, Valeria

    2016-04-01

    An urgent need is to improve the efficacy and safety of use of strong opioids in chronic non-cancer pain (CNCP) through responsible prescription rules supported by scientific evidence. Clinical questions addressing the indication, the benefice, the risk and the precautions were formulated. A task force composed of physicians from several medical specialties involved in managing CNCP was charged to elaborate evidence-based recommendations. A systematic literature search was performed using CENTRAL, MEDLINE and EMBASE databases. The approach of the Grading of Recommendations Assessment, Development and Evaluation was applied to evaluate outcomes. We selected 21 meta-analyses and 31 cohort studies for analysis. Fifteen recommendations are provided. Strong opioids are not recommended in fibromyalgia and primary headaches. Strong opioids have been shown to be moderately effective against CNCP due to osteoarthritis of the lower limbs, and for back pain and neuropathic pain. Their introduction is advised only after the failure of first-line treatments, combined with patient care, provided that the patient is made aware of the advantages and risks. It is not advisable to continue strong opioids treatment for longer than three months if no improvement in pain, function or quality of life is observed. It is also recommended not to prescribe doses exceeding 150mg/day morphine equivalent. Misuse risk factors should be investigated before prescription and misuse should be assessed at each renewal. Priority should be given to extended-release forms. It is recommended not to use transmucosal rapid-release forms of fentanyl for the management of CNCP. These recommendations are intended for all doctors needing to prescribe strong opioids in CNCP. Copyright © 2016 Elsevier Masson SAS. All rights reserved.

  3. Calibration of a flexible measurement system based on industrial articulated robot and structured light sensor

    Science.gov (United States)

    Mu, Nan; Wang, Kun; Xie, Zexiao; Ren, Ping

    2017-05-01

    To realize online rapid measurement for complex workpieces, a flexible measurement system based on an articulated industrial robot with a structured light sensor mounted on the end-effector is developed. A method for calibrating the system parameters is proposed in which the hand-eye transformation parameters and the robot kinematic parameters are synthesized in the calibration process. An initial hand-eye calibration is first performed using a standard sphere as the calibration target. By applying the modified complete and parametrically continuous method, we establish a synthesized kinematic model that combines the initial hand-eye transformation and distal link parameters as a whole with the sensor coordinate system as the tool frame. According to the synthesized kinematic model, an error model is constructed based on spheres' center-to-center distance errors. Consequently, the error model parameters can be identified in a calibration experiment using a three-standard-sphere target. Furthermore, the redundancy of error model parameters is eliminated to ensure the accuracy and robustness of the parameter identification. Calibration and measurement experiments are carried out based on an ER3A-C60 robot. The experimental results show that the proposed calibration method enjoys high measurement accuracy, and this efficient and flexible system is suitable for online measurement in industrial scenes.

  4. Validation and implementation of model based control strategies at an industrial wastewater treatment plant.

    Science.gov (United States)

    Demey, D; Vanderhaegen, B; Vanhooren, H; Liessens, J; Van Eyck, L; Hopkins, L; Vanrolleghem, P A

    2001-01-01

    In this paper, the practical implementation and validation of advanced control strategies, designed using model based techniques, at an industrial wastewater treatment plant is demonstrated. The plant under study is treating the wastewater of a large pharmaceutical production facility. The process characteristics of the wastewater treatment were quantified by means of tracer tests, intensive measurement campaigns and the use of on-line sensors. In parallel, a dynamical model of the complete wastewater plant was developed according to the specific kinetic characteristics of the sludge and the highly varying composition of the industrial wastewater. Based on real-time data and dynamic models, control strategies for the equalisation system, the polymer dosing and phosphorus addition were established. The control strategies are being integrated in the existing SCADA system combining traditional PLC technology with robust PC based control calculations. The use of intelligent control in wastewater treatment offers a wide spectrum of possibilities to upgrade existing plants, to increase the capacity of the plant and to eliminate peaks. This can result in a more stable and secure overall performance and, finally, in cost savings. The use of on-line sensors has a potential not only for monitoring concentrations, but also for manipulating flows and concentrations. This way the performance of the plant can be secured.

  5. OICS: A Knowledge-based Cloud Manufacturing System for Machine Tool Industry

    Directory of Open Access Journals (Sweden)

    Chi-Yin Lin

    2015-05-01

    Full Text Available In this paper, an Ontology inference cloud service (OICS with auto-scaling capability is designed and implemented for the CNC machine tool industry. The OICS is a knowledge-based cloud manufacturing system, and is used to recommend machine tools and cutting tools based on the Ontology inference techniques. Three core functional modules: the Ontology inference module, the VMT (Virtual Machine Tool module, and the request filtering module, are developed to allow multiple users to perform inference service, and verify the recommended machine tools or cutting tools via VMT simulations. The OICS is implemented and hosted in a cloud virtual machine, called a worker. Furthermore, the worker controller (WCR, is designed to automatically adjust the number of virtual machines to provide users splendid service quality. Finally, we deploy the developed OICS to a public cloud platform, namely Windows Azure, to conduct integrated tests. Testing results of a case study physically applying the OICS to a machine tool factory show that the OICS can successfully recommend suitable machine tools and cutting tools for machining tasks, and support multiple users in a reasonable performance. The results of this paper can be a useful reference for industrial practitioners to construct cloud-based manufacturing systems.

  6. Physical and chemical characterisation of silica based raw materials from industrial waste

    International Nuclear Information System (INIS)

    Samayamutthirian Palaniandy; Khairul Nizar Ismail; Khairun Azizi Mohd Azizli

    2002-01-01

    Silica sand and Pulverised Fuel Ash (PFA) is considered as silica based waste materials and it have variety of usage depending on its particle size and purity. Value adding of these raw materials will enhance the exploitation of these materials in various industries, The physical and chemical properties of these materials are essential that it will determine the utilization of these materials. The phase analysis, chemical composition, particle size distribution and the morphology of the materials were determined to investigate the appropriate utilization of these raw materials in various applications. Local PFA is considered class F and has various applications as construction materials. (Author)

  7. Studies of industrial emissions by accelerator-based techniques: A review of applications at CEDAD

    Science.gov (United States)

    Calcagnile, L.; Quarta, G.

    2012-04-01

    Different research activities are in progress at the Centre for Dating and Diagnostics (CEDAD), University of Salento, in the field of environmental monitoring by exploiting the potentialities given by the different experimental beam lines implemented on the 3 MV Tande-tron accelerator and dedicated to AMS (Accelerator Mass Spectrome-try) radiocarbon dating and IB A (Ion Beam Analysis). An overview of these activities is presented by showing how accelerator-based analytical techniques can be a powerful tool for monitoring the anthropogenic carbon dioxide emissions from industrial sources and for the assessment of the biogenic content in SRF (Solid Recovered Fuel) burned in WTE (Waste to Energy) plants.

  8. Studies of industrial emissions by accelerator-based techniques: A review of applications at CEDAD

    Directory of Open Access Journals (Sweden)

    Calcagnile L.

    2012-04-01

    Full Text Available Different research activities are in progress at the Centre for Dating and Diagnostics (CEDAD, University of Salento, in the field of environmental monitoring by exploiting the potentialities given by the different experimental beam lines implemented on the 3 MV Tande-tron accelerator and dedicated to AMS (Accelerator Mass Spectrome-try radiocarbon dating and IB A (Ion Beam Analysis. An overview of these activities is presented by showing how accelerator-based analytical techniques can be a powerful tool for monitoring the anthropogenic carbon dioxide emissions from industrial sources and for the assessment of the biogenic content in SRF (Solid Recovered Fuel burned in WTE (Waste to Energy plants.

  9. Risk-based approach in valuation of workplace injury rate for transportation and construction industry

    Science.gov (United States)

    Pykhtin, Kirill; Simankina, Tatiana; Sharmanov, Vladimir; Kopytova, Anna

    2017-10-01

    The danger of injuries and accidents in various industries such as transportation and construction urges the government to control the occupational health and safety more strictly. However, in order to do so with the minimal costs modern risk management tools, have to be implemented. Risk-based approach is an essential tool for competent risk- assessment and used in a great variety of other countries, demonstrating great results in providing of safe working environment. The article describes the problems that the implementation of the method faces in Russia and suggests certain ways to resolve them.

  10. Activity-Based Costing in the Hospitality Industry: A Case Study in a Hotel

    OpenAIRE

    Bita Mashayekhi; Mohammad Ara

    2017-01-01

    The purpose of this study is to provide some empirical evidence about implementing Activity-Based Costing (ABC) in the hospitality industry in Iran. For this purpose, we consider the Tabriz International Hotel as our sample hotel and then gather the relevant data from its cost accounting system in 2012. Then, we use ABC as our costing method and compare the cost of each service unit with that cost which had been extracted for the traditional costing method. The results show a different cost p...

  11. Leveraging 3D geometric knowledge in the product lifecycle based on industrial standards

    Directory of Open Access Journals (Sweden)

    Alain Pfouga

    2018-01-01

    This paper analyses the methods and tools used in virtual product development to leverage 3D CAD data in the entire life cycle based on industrial standards. It presents a set of versatile concepts for mastering exchange, aware and unaware visualization and collaboration from single technical packages fit purposely for various domains and disciplines. It introduces a 3D master document utilizing PDF techniques, which fulfills requirements for electronic discovery and enables multi-domain collaboration and long-term data retention for the digital enterprise.

  12. Comparison of three strong ion models used for quantifying the acid-base status of human plasma with special emphasis on the plasma weak acids.

    Science.gov (United States)

    Anstey, Chris M

    2005-06-01

    Currently, three strong ion models exist for the determination of plasma pH. Mathematically, they vary in their treatment of weak acids, and this study was designed to determine whether any significant differences exist in the simulated performance of these models. The models were subjected to a "metabolic" stress either in the form of variable strong ion difference and fixed weak acid effect, or vice versa, and compared over the range 25 titration curves. The results were analyzed for linearity by using ordinary least squares regression and for collinearity by using correlation. In every case, the results revealed a linear relationship between log(Pco(2)) and pH over the range 6.8 acid-base physiology and by the ease of measurement of the independent model parameters.

  13. Application of bounding spectra to seismic design of piping based on the performance of above ground piping in power plants subjected to strong motion earthquakes

    Energy Technology Data Exchange (ETDEWEB)

    Stevenson, J.D. [Stevenson and Associates, Cleveland, OH (United States)

    1995-02-01

    This report extends the potential application of Bounding Spectra evaluation procedures, developed as part of the A-46 Unresolved Safety Issue applicable to seismic verification of in-situ electrical and mechanical equipment, to in-situ safety related piping in nuclear power plants. The report presents a summary of earthquake experience data which define the behavior of typical U.S. power plant piping subject to strong motion earthquakes. The report defines those piping system caveats which would assure the seismic adequacy of the piping systems which meet those caveats and whose seismic demand are within the bounding spectra input. Based on the observed behavior of piping in strong motion earthquakes, the report describes the capabilities of the piping system to carry seismic loads as a function of the type of connection (i.e. threaded versus welded). This report also discusses in some detail the basic causes and mechanisms for earthquake damages and failures to power plant piping systems.

  14. Dynamic Test Method Based on Strong Electromagnetic Pulse for Electromagnetic Shielding Materials with Field-Induced Insulator-Conductor Phase Transition

    Science.gov (United States)

    Wang, Yun; Zhao, Min; Wang, Qingguo

    2018-01-01

    In order to measure the pulse shielding performance of materials with the characteristic of field-induced insulator-conductor phase transition when materials are used for electromagnetic shielding, a dynamic test method was proposed based on a coaxial fixture. Experiment system was built by square pulse source, coaxial cable, coaxial fixture, attenuator, and oscilloscope and insulating components. S11 parameter of the test system was obtained, which suggested that the working frequency ranges from 300 KHz to 7.36 GHz. Insulating performance is good enough to avoid discharge between conductors when material samples is exposed in the strong electromagnetic pulse field up to 831 kV/m. This method is suitable for materials with annular shape, certain thickness and the characteristic of field-induced insulator-conductor phase transition to get their shielding performances of strong electromagnetic pulse.

  15. Application of bounding spectra to seismic design of piping based on the performance of above ground piping in power plants subjected to strong motion earthquakes

    International Nuclear Information System (INIS)

    Stevenson, J.D.

    1995-02-01

    This report extends the potential application of Bounding Spectra evaluation procedures, developed as part of the A-46 Unresolved Safety Issue applicable to seismic verification of in-situ electrical and mechanical equipment, to in-situ safety related piping in nuclear power plants. The report presents a summary of earthquake experience data which define the behavior of typical U.S. power plant piping subject to strong motion earthquakes. The report defines those piping system caveats which would assure the seismic adequacy of the piping systems which meet those caveats and whose seismic demand are within the bounding spectra input. Based on the observed behavior of piping in strong motion earthquakes, the report describes the capabilities of the piping system to carry seismic loads as a function of the type of connection (i.e. threaded versus welded). This report also discusses in some detail the basic causes and mechanisms for earthquake damages and failures to power plant piping systems

  16. Quantum fluid dynamics based current-density functional study of a helium atom in a strong time-dependent magnetic field

    Science.gov (United States)

    Vikas, Hash(0x125f4490)

    2011-02-01

    Evolution of the helium atom in a strong time-dependent (TD) magnetic field ( B) of strength up to 1011 G is investigated through a quantum fluid dynamics (QFD) based current-density functional theory (CDFT). The TD-QFD-CDFT computations are performed through numerical solution of a single generalized nonlinear Schrödinger equation employing vector exchange-correlation potentials and scalar exchange-correlation density functionals that depend both on the electronic charge-density and the current-density. The results are compared with that obtained from a B-TD-QFD-DFT approach (based on conventional TD-DFT) under similar numerical constraints but employing only scalar exchange-correlation potential dependent on electronic charge-density only. The B-TD-QFD-DFT approach, at a particular TD magnetic field-strength, yields electronic charge- and current-densities as well as exchange-correlation potential resembling with that obtained from the time-independent studies involving static (time-independent) magnetic fields. However, TD-QFD-CDFT electronic charge- and current-densities along with the exchange-correlation potential and energy differ significantly from that obtained using B-TD-QFD-DFT approach, particularly at field-strengths >109 G, representing dynamical effects of a TD field. The work concludes that when a helium atom is subjected to a strong TD magnetic field of order >109 G, the conventional TD-DFT based approach differs "dynamically" from the CDFT based approach under similar computational constraints.

  17. Quantum fluid dynamics based current-density functional study of a helium atom in a strong time-dependent magnetic field

    International Nuclear Information System (INIS)

    Vikas

    2011-01-01

    Evolution of the helium atom in a strong time-dependent (TD) magnetic field (B) of strength up to 10 11 G is investigated through a quantum fluid dynamics (QFD) based current-density functional theory (CDFT). The TD-QFD-CDFT computations are performed through numerical solution of a single generalized nonlinear Schroedinger equation employing vector exchange-correlation potentials and scalar exchange-correlation density functionals that depend both on the electronic charge-density and the current-density. The results are compared with that obtained from a B-TD-QFD-DFT approach (based on conventional TD-DFT) under similar numerical constraints but employing only scalar exchange-correlation potential dependent on electronic charge-density only. The B-TD-QFD-DFT approach, at a particular TD magnetic field-strength, yields electronic charge- and current-densities as well as exchange-correlation potential resembling with that obtained from the time-independent studies involving static (time-independent) magnetic fields. However, TD-QFD-CDFT electronic charge- and current-densities along with the exchange-correlation potential and energy differ significantly from that obtained using B-TD-QFD-DFT approach, particularly at field-strengths >10 9 G, representing dynamical effects of a TD field. The work concludes that when a helium atom is subjected to a strong TD magnetic field of order >10 9 G, the conventional TD-DFT based approach differs 'dynamically' from the CDFT based approach under similar computational constraints. (author)

  18. Determinants of Web-based CSR Disclosure in the Food Industry

    Directory of Open Access Journals (Sweden)

    Florian Sommer

    2015-01-01

    Full Text Available Purpose –Web-based CSR disclosure provides a variety of advantages for firms. Determining factors for web-based CSR disclosure have been analyzed in several papers. However, only limited research has been conducted on both, the food industry and small and midsized enterprises. This paper is one contribution to fill this gap as we investigate web-based CSR communication of food processors including SME.Design/methodology/approach – We analyzed corporate communication on the websites of 71 food producers from North Rhine-Westphalia, Germany using dictionary-based content analysis. Based on an ordered logit model the relationship between CSR communication and size, profitability, indebtedness and closeness to market was estimated. Economic data were obtained from the commercial database DAFNE.Findings – Our results reveal that larger firms provide relatively more CSR information than smaller firms. There was no significant relationship between CSR disclosure and profitability or indebtedness of a company and an ambiguous relationship with regard to the determinant ‘closeness to market’. Regarding the different areas of communication we found that social compared to environmental aspects were underrepresented.Practical implications – Social aspects of CSR could be used for differentiation in the market. Furthermore, as smaller firms provide relatively less information on CSR it might be worthwhile to analyze the central impediments for CSR communication for those companies.Originality/Value – This paper contributes to the ongoing discussion about firms’ CSR communication. From a convenience sample of 71 food processing firms, including SME, it provides insight regarding the determinants for CSR disclosure on firms’ websites. With the focus on the food industry and the inclusion of SME we contribute with our study to two under-researched areas.

  19. Fostering of Innovative Talents Based on Disciplinary Construction: HRD Strategy of Chinese Nuclear Power Industry

    International Nuclear Information System (INIS)

    Ye Yuanwei

    2014-01-01

    Workforce challenge to nuclear power industry: • We are facing the aging workforce and talent loss since the tough time of nuclear power industry. • Professional workforce fostering in nuclear power industry always needs a long period of time. • Professional workforce fostering in nuclear power industry is a systematic and interdisciplinary work. Talents fostering in nuclear power industry: Major measures → national overall planning; engineering practice; knowledge management; disciplinary construction; cooperation and communication

  20. Performance Comparison of Grid-Faulty Control Schemes for Inverter-Based Industrial Microgrids

    Directory of Open Access Journals (Sweden)

    Antonio Camacho

    2017-12-01

    Full Text Available Several control schemes specifically designed to operate inverter-based industrial microgrids during voltage sags have been recently proposed. This paper first classifies these control schemes in three categories and then performs a comparative analysis of them. Representative control schemes of each category are selected, described and used to identify the main features and performance of the considered category. The comparison is based on the evaluation of several indexes, which measure the power quality of the installation and utility grid during voltage sags, including voltage regulation, reactive current injection and transient response. The paper includes selected simulation results from a 500 kVA industrial microgrid to validate the expected features of the considered control schemes. Finally, in view of the obtained results, the paper proposes an alternative solution to cope with voltage sags, which includes the use of a static compensator in parallel with the microgrid. The novelty of this proposal is the suitable selection of the control schemes for both the microgrid and the static compensator. The superior performance of the proposal is confirmed by the analysis of the quality indexes. Its practical limitations are also revealed, showing that the topic studied in this paper is still open for further research.

  1. Identifying Key Factors for Introducing GPS-Based Fleet Management Systems to the Logistics Industry

    Directory of Open Access Journals (Sweden)

    Yi-Chung Hu

    2015-01-01

    Full Text Available The rise of e-commerce and globalization has changed consumption patterns. Different industries have different logistical needs. In meeting needs with different schedules logistics play a key role. Delivering a seamless service becomes a source of competitive advantage for the logistics industry. Global positioning system-based fleet management system technology provides synergy to transport companies and achieves many management goals such as monitoring and tracking commodity distribution, energy saving, safety, and quality. A case company, which is a subsidiary of a very famous food and retail conglomerate and operates the largest shipping line in Taiwan, has suffered from the nonsmooth introduction of GPS-based fleet management systems in recent years. Therefore, this study aims to identify key factors for introducing related systems to the case company. By using DEMATEL and ANP, we can find not only key factors but also causes and effects among key factors. The results showed that support from executives was the most important criterion but it has the worst performance among key factors. It is found that adequate annual budget planning, enhancement of user intention, and collaboration with consultants with high specialty could be helpful to enhance the faith of top executives for successfully introducing the systems to the case company.

  2. Women’s empowerment model in home-based industries in East Java Province, Indonesia

    Directory of Open Access Journals (Sweden)

    Emy Susanti

    2017-12-01

    Full Text Available This study aimed to classify the role of women, gender and characteristics of home-based industries that were managed by women in two cities of East Java Province. This study also tried to identify strengths, weaknesses and challenges faced by these women, especially impoverished women. The research employed qualitative method supported by quantitative data. The data collected through structured interviews guided by questionnaires and indepth interviews. Three main results were attained. First, it was related to the characteristics of women workers, the role of multi-burdened women, the flexible working hours, formal education but unrelated to work, and low income but still importantly needed to support economic condition. Second, three networks were found: network between manager/owner and workers that was informal and family-oriented, network between managers and local government for marketing and training, and network with the private sector for access to capital and business development. Third, the model of empowering small home-based industries should consider the specific needs of women. In other words, there is a requisite for practical and strategic gender needs that has to be comprehended and become the basis for the planning and development to conduct activities and programs for women.

  3. Risk assessment and hierarchical risk management of enterprises in chemical industrial parks based on catastrophe theory.

    Science.gov (United States)

    Chen, Yu; Song, Guobao; Yang, Fenglin; Zhang, Shushen; Zhang, Yun; Liu, Zhenyu

    2012-12-03

    According to risk systems theory and the characteristics of the chemical industry, an index system was established for risk assessment of enterprises in chemical industrial parks (CIPs) based on the inherent risk of the source, effectiveness of the prevention and control mechanism, and vulnerability of the receptor. A comprehensive risk assessment method based on catastrophe theory was then proposed and used to analyze the risk levels of ten major chemical enterprises in the Songmu Island CIP, China. According to the principle of equal distribution function, the chemical enterprise risk level was divided into the following five levels: 1.0 (very safe), 0.8 (safe), 0.6 (generally recognized as safe, GRAS), 0.4 (unsafe), 0.2 (very unsafe). The results revealed five enterprises (50%) with an unsafe risk level, and another five enterprises (50%) at the generally recognized as safe risk level. This method solves the multi-objective evaluation and decision-making problem. Additionally, this method involves simple calculations and provides an effective technique for risk assessment and hierarchical risk management of enterprises in CIPs.

  4. Association Rule-based Predictive Model for Machine Failure in Industrial Internet of Things

    Science.gov (United States)

    Kwon, Jung-Hyok; Lee, Sol-Bee; Park, Jaehoon; Kim, Eui-Jik

    2017-09-01

    This paper proposes an association rule-based predictive model for machine failure in industrial Internet of things (IIoT), which can accurately predict the machine failure in real manufacturing environment by investigating the relationship between the cause and type of machine failure. To develop the predictive model, we consider three major steps: 1) binarization, 2) rule creation, 3) visualization. The binarization step translates item values in a dataset into one or zero, then the rule creation step creates association rules as IF-THEN structures using the Lattice model and Apriori algorithm. Finally, the created rules are visualized in various ways for users’ understanding. An experimental implementation was conducted using R Studio version 3.3.2. The results show that the proposed predictive model realistically predicts machine failure based on association rules.

  5. Application of learning techniques based on kernel methods for the fault diagnosis in industrial processes

    Directory of Open Access Journals (Sweden)

    Jose M. Bernal-de-Lázaro

    2016-05-01

    Full Text Available This article summarizes the main contributions of the PhD thesis titled: "Application of learning techniques based on kernel methods for the fault diagnosis in Industrial processes". This thesis focuses on the analysis and design of fault diagnosis systems (DDF based on historical data. Specifically this thesis provides: (1 new criteria for adjustment of the kernel methods used to select features with a high discriminative capacity for the fault diagnosis tasks, (2 a proposed approach process monitoring using statistical techniques multivariate that incorporates a reinforced information concerning to the dynamics of the Hotelling's T2 and SPE statistics, whose combination with kernel methods improves the detection of small-magnitude faults; (3 an robustness index to compare the diagnosis classifiers performance taking into account their insensitivity to possible noise and disturbance on historical data.

  6. Emergy-based comparative analysis on industrial clusters: economic and technological development zone of Shenyang area, China.

    Science.gov (United States)

    Liu, Zhe; Geng, Yong; Zhang, Pan; Dong, Huijuan; Liu, Zuoxi

    2014-09-01

    In China, local governments of many areas prefer to give priority to the development of heavy industrial clusters in pursuit of high value of gross domestic production (GDP) growth to get political achievements, which usually results in higher costs from ecological degradation and environmental pollution. Therefore, effective methods and reasonable evaluation system are urgently needed to evaluate the overall efficiency of industrial clusters. Emergy methods links economic and ecological systems together, which can evaluate the contribution of ecological products and services as well as the load placed on environmental systems. This method has been successfully applied in many case studies of ecosystem but seldom in industrial clusters. This study applied the methodology of emergy analysis to perform the efficiency of industrial clusters through a series of emergy-based indices as well as the proposed indicators. A case study of Shenyang Economic Technological Development Area (SETDA) was investigated to show the emergy method's practical potential to evaluate industrial clusters to inform environmental policy making. The results of our study showed that the industrial cluster of electric equipment and electronic manufacturing produced the most economic value and had the highest efficiency of energy utilization among the four industrial clusters. However, the sustainability index of the industrial cluster of food and beverage processing was better than the other industrial clusters.

  7. MATES in Construction: Impact of a Multimodal, Community-Based Program for Suicide Prevention in the Construction Industry

    Directory of Open Access Journals (Sweden)

    Graham Martin

    2011-11-01

    Full Text Available A large-scale workplace-based suicide prevention and early intervention program was delivered to over 9,000 construction workers on building sites across Queensland. Intervention components included universal General Awareness Training (GAT; general mental health with a focus on suicide prevention; gatekeeper training provided to construction worker volunteer ‘Connectors’; Suicide First Aid (ASIST training offered to key workers; outreach support provided by trained and supervised MIC staff; state-wide suicide prevention hotline; case management service; and postvention support provided in the event of a suicide. Findings from over 7,000 workers (April 2008 to November 2010 are reported, indicating strong construction industry support, with 67% building sites and employers approached agreeing to participate in MIC. GAT participants demonstrated significantly increased suicide prevention awareness compared with a comparison group. Connector training participants rated MIC as helpful and effective, felt prepared to intervene with a suicidal person, and knew where to seek help for a suicidal individual following the training. Workers engaged positively with the after-hours crisis support phone line and case management. MIC provided postvention support to 10 non-MIC sites and sites engaged with MIC, but not yet MIC-compliant. Current findings support the potential effectiveness and social validity of MIC for preventing suicide in construction workers.

  8. MATES in Construction: Impact of a Multimodal, Community-Based Program for Suicide Prevention in the Construction Industry

    Science.gov (United States)

    Gullestrup, Jorgen; Lequertier, Belinda; Martin, Graham

    2011-01-01

    A large-scale workplace-based suicide prevention and early intervention program was delivered to over 9,000 construction workers on building sites across Queensland. Intervention components included universal General Awareness Training (GAT; general mental health with a focus on suicide prevention); gatekeeper training provided to construction worker volunteer ‘Connectors’; Suicide First Aid (ASIST) training offered to key workers; outreach support provided by trained and supervised MIC staff; state-wide suicide prevention hotline; case management service; and postvention support provided in the event of a suicide. Findings from over 7,000 workers (April 2008 to November 2010) are reported, indicating strong construction industry support, with 67% building sites and employers approached agreeing to participate in MIC. GAT participants demonstrated significantly increased suicide prevention awareness compared with a comparison group. Connector training participants rated MIC as helpful and effective, felt prepared to intervene with a suicidal person, and knew where to seek help for a suicidal individual following the training. Workers engaged positively with the after-hours crisis support phone line and case management. MIC provided postvention support to 10 non-MIC sites and sites engaged with MIC, but not yet MIC-compliant. Current findings support the potential effectiveness and social validity of MIC for preventing suicide in construction workers. PMID:22163201

  9. Decomposing the Influencing Factors of Industrial Sector Carbon Dioxide Emissions in Inner Mongolia Based on the LMDI Method

    Directory of Open Access Journals (Sweden)

    Rina Wu

    2016-07-01

    Full Text Available Understanding of the influencing factors of industrial sector carbon dioxide emissions is essential to reduce natural and anthropogenic greenhouse gas emissions. In this paper, we applied the Logarithmic Mean Divisia Index (LMDI decomposition method based on the extended Kaya identity to analyze the changes in industrial carbon dioxide emissions resulting from 39 industrial sectors in Inner Mongolia northeast of China over the period 2003–2012. The factors were divided into five types of effects i.e., industrial growth effect, industrial structure effect, energy effect, energy intensity effect, population effect and comparative analysis of differential influences of various factors on industrial sector. Our results clearly show that (1 Industrial sector carbon dioxide emissions have increased from 134.00 million ton in 2003 to 513.46 million ton in 2012, with an annual average growth rate of 16.097%. The industrial carbon dioxide emissions intensity has decreased from 0.99 million ton/billion yuan to 0.28 million ton/billion yuan. Also, the energy structure has been dominated by coal; (2 Production and supply of electric power, steam and hot water, coal mining and dressing, smelting and pressing of ferrous metals, petroleum processing, coking and nuclear fuel processing, and raw chemical materials and chemical products account for 89.74% of total increased industrial carbon dioxide emissions; (3 The industrial growth effect and population effect are found to be a critical driving force for increasing industrial sector carbon dioxide emissions over the research period. The energy intensity effect is the crucial drivers of the decrease of carbon dioxide emissions. However, the energy structure effect and industrial structure effect have considerably varied over the study years without displaying any clear trend.

  10. Life-cycle-based multicriteria sustainability evaluation of industrial parks: a case study in China.

    Science.gov (United States)

    Yang, Jin; Chen, Bin; Qi, Jing; Zhou, Shiyi; Jiang, Meiming

    2012-01-01

    Along with increasing concerns on environmental protection and global warming mitigation, new industrial organization modes such as "Ecoindustrial Park" and "Low Carbon Industrial Park" are emerging. Since ecoindustrial parks and low carbon industrial parks may offer multifaceted benefits to the users, it naturally follows that the sustainability assessment of the industrial parks ought to adopt a multicriteria methodology. In this paper, a multicriteria sustainable evaluation framework is proposed in combination with the life cycle analysis and applied to a low carbon and high end industrial park (LCHE) in Beijing, China. Results show that the LCHE industrial park can contribute to both energy-saving and greenhouse gas emission mitigations compared with other industrial parks. In terms of economic performance, although the economic profits are considerable, the investment per constructed area is relatively high. The results of sustainable analysis of the LCHE industrial park can thus shed light on future upgrading of industrial parks.

  11. Life-Cycle-Based Multicriteria Sustainability Evaluation of Industrial Parks: A Case Study in China

    Directory of Open Access Journals (Sweden)

    Jin Yang

    2012-01-01

    Full Text Available Along with increasing concerns on environmental protection and global warming mitigation, new industrial organization modes such as “Ecoindustrial Park” and “Low Carbon Industrial Park” are emerging. Since ecoindustrial parks and low carbon industrial parks may offer multifaceted benefits to the users, it naturally follows that the sustainability assessment of the industrial parks ought to adopt a multicriteria methodology. In this paper, a multicriteria sustainable evaluation framework is proposed in combination with the life cycle analysis and applied to a low carbon and high end industrial park (LCHE in Beijing, China. Results show that the LCHE industrial park can contribute to both energy-saving and greenhouse gas emission mitigations compared with other industrial parks. In terms of economic performance, although the economic profits are considerable, the investment per constructed area is relatively high. The results of sustainable analysis of the LCHE industrial park can thus shed light on future upgrading of industrial parks.

  12. Molten salt based nanofluids based on solar salt and alumina nanoparticles: An industrial approach

    Science.gov (United States)

    Muñoz-Sánchez, Belén; Nieto-Maestre, Javier; Guerreiro, Luis; Julia, José Enrique; Collares-Pereira, Manuel; García-Romero, Ana

    2017-06-01

    Thermal Energy Storage (TES) and its associated dispatchability is extremely important in Concentrated Solar Power (CSP) plants since it represents the main advantage of CSP technology in relation to other renewable energy sources like photovoltaic (PV). Molten salts are used in CSP plants as a TES material because of their high operational temperature and stability of up to 600°C. Their main problems are their relative poor thermal properties and energy storage density. A simple cost-effective way to improve the thermal properties of molten salts is to dope them with nanoparticles, thus obtaining the so-called salt-based nanofluids. Additionally, the use of molten salt based nanofluids as TES materials and Heat Transfer Fluid (HTF) has been attracting great interest in recent years. The addition of tiny amounts of nanoparticles to the base salt can improve its specific heat as shown by different authors1-3. The application of these nano-enhanced materials can lead to important savings on the investment costs in new TES systems for CSP plants. However, there is still a long way to go in order to achieve a commercial product. In this sense, the improvement of the stability of the nanofluids is a key factor. The stability of nanofluids will depend on the nature and size of the nanoparticles, the base salt and the interactions between them. In this work, Solar Salt (SS) commonly used in CSP plants (60% NaNO3 + 40% KNO3 wt.) was doped with alumina nanoparticles (ANPs) at a solid mass concentration of 1% wt. at laboratory scale. The tendency of nanoparticles to agglomeration and sedimentation is tested in the molten state by analyzing their size and concentration through the time. The specific heat of the nanofluid at 396 °C (molten state) is measured at different times (30 min, 1 h, 5 h). Further research is needed to understand the mechanisms of agglomeration. A good understanding of the interactions between the nanoparticle surface and the ionic media would provide

  13. Fusion of Multi-Vision of Industrial Robot in MAS-Based Smart Space

    Directory of Open Access Journals (Sweden)

    Li Hexi

    2015-01-01

    Full Text Available The paper presents a fusion method of muti-vision of industrial robot in a smart space based on multi-agent system(MAS, the robotic multi-vision consists of top-view, side-view, front-view and hand-eye cameras, the moving hand-eye provide vision guidance and give the estimation of robot position, other three cameras are used for target recognition and positioning. Each camera is connected to an agent based on an image-processing computer that aims at analyzing image rapidly and satisfying the real-time requirement of data processing. As a learning strategy of robotic vision, a back-propagation neural network(BPNN with 3-layer-architecture is first constructed for each agent and is independently trained as a classifier of target recognition using batch gradient descent method based on the region features extracted from the images of target samples(typical mechanical parts, and then the outputs of trained BPNNs in MAS-based smart space are fused with Dempster-Shafer evidence theory to form a final recognition decision, the experimental results of typical mechanical parts show that fusion of multi-vision can improve the robotic vision accuracy and MAS-based smart space will contribute to the parallel processing of immense image data in robotic multi-vision system.

  14. A randomized controlled trial of strong minds: A school-based mental health program combining acceptance and commitment therapy and positive psychology.

    Science.gov (United States)

    Burckhardt, Rowan; Manicavasagar, Vijaya; Batterham, Philip J; Hadzi-Pavlovic, Dusan

    2016-08-01

    To date, most early intervention programs have been based on emotion regulation strategies that address dysfunctional cognitive appraisals, problem-solving skills, and rumination. Another emotion regulation strategy, 'acceptance' training, has largely been overlooked. To examine the efficacy of this strategy, a school-based mental health program combining positive psychology with acceptance and commitment therapy (Strong Minds) was evaluated in a randomized controlled trial with a sample of 267 Year 10 and 11 high-school students in Sydney, Australia. Mixed models for repeated measures examined whether the program led to reductions in symptoms amongst students who commenced the program with high depression, anxiety, and stress scores, and increased wellbeing scores amongst all students. Results demonstrated that compared to controls, participants in the Strong Minds condition with elevated symptom scores (n=63) reported significant reductions in depression (p=.047), stress (p=.01), and composite depression/anxiety symptoms (p=.02) with medium to strong effect sizes (Cohen's d=0.53, 0.74, and 0.57, respectively). Increased wellbeing (p=.03) in the total sample and decreased anxiety scores (p=.048) for students with elevated symptoms were significant for Year 10 students with medium effect sizes (Cohen's d=0.43 and 0.54, respectively). This study tentatively suggests that including the emotion regulation strategy of acceptance in early intervention programs may be effective in reducing symptoms and improving wellbeing in high school students. Further research to investigate the generalizability of these findings is warranted. Copyright © 2016 Society for the Study of School Psychology. Published by Elsevier Ltd. All rights reserved.

  15. Action Reflected and Project Based Combined Methodology for the Appropriate Comprehension of Mechanisms in Industrial Design Education

    Science.gov (United States)

    Yavuzcan, H. Güçlü; Sahin, Damla

    2017-01-01

    In industrial design (ID) education, mechanics-based courses are mainly based on a traditional lecture approach and they are highly abstract for ID students to comprehend. The existing studies highlight the requirement of a new approach for mechanics-based courses in ID departments. This study presents a combined teaching model for mechanisms…

  16. Quantification of groundwater-stream water interactions based on temperature depth profiles under strong upwelling conditions in a sand-bed stream

    Science.gov (United States)

    Gaona, Jaime; Lewandowski, Jörg

    2017-04-01

    The quantification of groundwater-surface water interactions is not only required for budgets but also for an understanding of the complex relations between hyporheic exchange flows (HEF) and the associated chemical and biological processes that take place in hyporheic zones (HZ). Thus, there is a strong need to improve methods for flux estimation.The present study aims to quantify the vertical fluxes across the riverbed from data of temperature depth profiles recorded at the River Schlaube in East Brandenburg, Germany. In order to test the capabilities and limitations of existing methods, fluxes were calculated with an analytical (VFLUX, based on the amplitude attenuation and phase shift analysis) and a numerical (1DTempPro, parametrization based on observed values) approach for heat conduction. We conclude that the strong limitations of the flux estimates are caused by thermal and hydraulic heterogeneities of the sediment properties. Consequently, upscaling of fluxes must include other thermal techniques able to portray the spatial variability of thermal patterns, along with further developments of methods to link thermal depth profiles, thermal patterns of the surface of the streambed and all the other factors involved. Considering time and costs of temperature depth profiles of riverbeds, and the need for multiple devices to cover larger areas, it is additionally tested whether vertical fluxes can be infered from the uppermost temperature sensors of a data set. That would ease hyporheic investigations at larger scales.

  17. 'Power base' tactics for workplace change - an interview study with industrial engineers and ergonomists.

    Science.gov (United States)

    Berlin, Cecilia; Neumann, W Patrick; Theberge, Nancy; Örtengren, Roland

    2017-05-01

    The work activities of industrial engineers (IEs) and ergonomists drive workplace changes. The purpose of this study is to compare the work practices of the two professions and examine (1) how IEs and ergonomists gain influence over workplace changes and (2) whether there are prevailing types of intentional interaction behaviours called Power bases (PB) present in the interaction tactics they employ. The study identified key behavioural strategies used by the interviewees to successfully influence workplace changes; these were then mapped to their corresponding PB. Results showed that IEs and ergonomists were successfully influencing workplace changes using several tactics across the spectrum of PB, with the exception of Reward and Coercion. The study concludes with a list of recommended workplace change agent tactics, and proposes that a PB 'analytical lens' can serve to increase the budding ergonomists' critical and analytical skills when considering possible workplace change tactics. Practitioner Summary: This interview study examines how workplace ergonomics change agents, represented by the two professions: industrial engineers and ergonomists, perceive and exercise their capacity to influence workplace change. Key behavioural tactics that interviewees have found successful are reported, alongside effects on short- and long-term relations with other workplace-influencing stakeholders.

  18. A Simplified Approach to Risk Assessment Based on System Dynamics: An Industrial Case Study.

    Science.gov (United States)

    Garbolino, Emmanuel; Chery, Jean-Pierre; Guarnieri, Franck

    2016-01-01

    Seveso plants are complex sociotechnical systems, which makes it appropriate to support any risk assessment with a model of the system. However, more often than not, this step is only partially addressed, simplified, or avoided in safety reports. At the same time, investigations have shown that the complexity of industrial systems is frequently a factor in accidents, due to interactions between their technical, human, and organizational dimensions. In order to handle both this complexity and changes in the system over time, this article proposes an original and simplified qualitative risk evaluation method based on the system dynamics theory developed by Forrester in the early 1960s. The methodology supports the development of a dynamic risk assessment framework dedicated to industrial activities. It consists of 10 complementary steps grouped into two main activities: system dynamics modeling of the sociotechnical system and risk analysis. This system dynamics risk analysis is applied to a case study of a chemical plant and provides a way to assess the technological and organizational components of safety. © 2016 Society for Risk Analysis.

  19. Risk assessment of hazardous impacts on urbanization and industrialization activities based upon toxic substances

    Directory of Open Access Journals (Sweden)

    T. Salem

    2016-03-01

    Full Text Available A risk assessment study was conducted to predict the expected hazardous influence on the ecosystem resulted from urbanization and industrialization activities at Helwan area, Egypt. To achieve these goals, soils, plants and water samples were collected from Helwan area, and their total concentrations of inorganic contaminants (Cd, Cr, Co, Cu, Fe, Mn, Ni, Pb, and Zn and organic pollutants; such as Phenol and hydrocarbons were measured. The obtained results showed that, the concentrations of organic contaminants in water streams and surrounding soils recorded high concentration values than the permissible limits, while inorganic elements were within the safe limits for irrigation. In addition, soils irrigated with the effluents of industrial units recorded high values of inorganic and organic contaminants. Consequently, the levels of these contaminants were high in plant tissues grown thereon; especially the edible parts. Risk assessment based on available Predicted No Effect Concentration values for the aquatic and terrestrial environment was performed. Inorganic elements were expected to cause serious hazard problems for both aquatic organisms and soil microorganisms. The impact of these pollutants on human health was calculated using daily metals intake of inorganic metals via consumption of edible plants. Hazard index values proved that concentrations of Cr may cause serious hazard problems for humans in this area; especially, children.

  20. Amperometric Enzyme-Based Biosensors for Application in Food and Beverage Industry

    Science.gov (United States)

    Csöoregi, Elisabeth; Gáspñr, Szilveszter; Niculescu, Mihaela; Mattiasson, Bo; Schuhmann, Wolfgang

    Continuous, sensitive, selective, and reliable monitoring of a large variety of different compounds in various food and beverage samples is of increasing importance to assure a high-quality and tracing of any possible source of contamination of food and beverages. Most of the presently used classical analytical methods are often requiring expensive instrumentation, long analysis times and well-trained staff. Amperometric enzyme-based biosensors on the other hand have emerged in the last decade from basic science to useful tools with very promising application possibilities in food and beverage industry. Amperometric biosensors are in general highly selective, sensitive, relatively cheap, and easy to integrate into continuous analysis systems. A successful application of such sensors for industrial purposes, however, requires a sensor design, which satisfies the specific needs of monitoring the targeted analyte in the particular application, Since each individual application needs different operational conditions and sensor characteristics, it is obvious that biosensors have to be tailored for the particular case. The characteristics of the biosensors are depending on the used biorecognition element (enzyme), nature of signal transducer (electrode material) and the communication between these two elements (electron-transfer pathway).

  1. Nature-based solutions for urban landscapes under post-industrialization and globalization: Barcelona versus Shanghai.

    Science.gov (United States)

    Fan, Peilei; Ouyang, Zutao; Basnou, Corina; Pino, Joan; Park, Hogeun; Chen, Jiquan

    2017-07-01

    Using Barcelona and Shanghai as case studies, we examined the nature-based solutions (NBS) in urban settings-specifically within cities experiencing post-industrialization and globalization. Our specific research questions are: (1) What are the spatiotemporal changes in urban built-up land and green space in Barcelona and Shanghai? (2) What are the relationships between economic development, exemplified by post-industrialization, globalization, and urban green space? Urban land use and green space change were evaluated using data derived from a variety of sources, including satellite images, landscape matrix indicators, and a land conversion matrix. The relationships between economic development, globalization, and environmental quality were analyzed through partial least squares structural equation modeling based on secondary statistical data. Both Barcelona and Shanghai have undergone rapid urbanization, with urban expansion in Barcelona beginning in the 1960s-1970s and in Shanghai in the last decade. While Barcelona's urban green space and green space per capita began declining between the 1950s and 1990s, they increased slightly over the past two decades. Shanghai, however, has consistently and significantly improved urban green space and green space per capita over the past six decades, especially since the economic reform in 1978. Economic development has a direct and significant influence on urban green space for both cities and post-industrialization had served as the main driving force for urban landscape change in Barcelona and Shanghai. Based on secondary statistical and qualitative data from on-site observations and interviews with local experts, we highlighted the institution's role in NBS planning. Furthermore, aspiration to become a global or globalizing city motivated both cities to use NBS planning as a place-making tool to attract global investment, which is reflected in various governing policies and regulations. The cities' effort to achieve a

  2. An Efficient and Robust Hybrid Damper for LCL- or LLCL-Based Grid-Tied Inverter With Strong Grid-Side Harmonic Voltage Effect Rejection

    DEFF Research Database (Denmark)

    Liu, Yuan; Wu, Weimin; He, Yuanbin

    2016-01-01

    A high-order (LCL or LLCL) power filter with a small grid-side inductor is becoming more preferred for a grid-tied inverter due to less total inductance and reduced costs. In a microgrid, the background harmonic voltage (BHV) may distort the injected currents of the grid-tied inverters. In order......-current-feedback AD. Based on this, a single-loop current control with a hybrid damper is proposed for a single-phase LCLor LLCL-filter-based grid-tied inverter. A step-by-step design of the controller method is also introduced in detail. Experiments on a 2-kW prototype fully demonstrate the strong robustness...

  3. <strong>Neuroeconomics and behavioral health economicsstrong>/>

    DEFF Research Database (Denmark)

    Larsen, Torben

    2009-01-01

    dissemination of relaxation procedures is evident in industrialized countries since about 1970 both inside the medical healthcare system and as NGO-settings in a market-alike competition. However, a serious barrier to the dissemination of meditative de-stressing is the lack of general knowledge of the action...... for explanation of the neural dynamics of normal decision making. Secondly, the literature is reviewed for evidence on hypothesized applications of NeM in behavioral health. Results I. The present bias as documented by neuroeconomic game-trials is explained by NeM as rooted in the basal activation of Amygdala...... - a key center in our emotional arousal (limbic system) - as shaped in the elder stone-age with many acute threats. II. In general, the Hawthorne-effect of human-relations management is explained as the result of supportive job-relations relaxing Amygdala for better emotional integration...

  4. Quantum fluid dynamics based current-density functional study of a helium atom in a strong time-dependent magnetic field

    Energy Technology Data Exchange (ETDEWEB)

    Vikas [Quantum Chemistry Group, Department of Chemistry and Centre of Advanced Studies in Chemistry, Panjab University, 160014 Chandigrah (India)

    2011-02-15

    Evolution of the helium atom in a strong time-dependent (TD) magnetic field (B) of strength up to 10{sup 11} G is investigated through a quantum fluid dynamics (QFD) based current-density functional theory (CDFT). The TD-QFD-CDFT computations are performed through numerical solution of a single generalized nonlinear Schroedinger equation employing vector exchange-correlation potentials and scalar exchange-correlation density functionals that depend both on the electronic charge-density and the current-density. The results are compared with that obtained from a B-TD-QFD-DFT approach (based on conventional TD-DFT) under similar numerical constraints but employing only scalar exchange-correlation potential dependent on electronic charge-density only. The B-TD-QFD-DFT approach, at a particular TD magnetic field-strength, yields electronic charge- and current-densities as well as exchange-correlation potential resembling with that obtained from the time-independent studies involving static (time-independent) magnetic fields. However, TD-QFD-CDFT electronic charge- and current-densities along with the exchange-correlation potential and energy differ significantly from that obtained using B-TD-QFD-DFT approach, particularly at field-strengths >10{sup 9} G, representing dynamical effects of a TD field. The work concludes that when a helium atom is subjected to a strong TD magnetic field of order >10{sup 9} G, the conventional TD-DFT based approach differs 'dynamically' from the CDFT based approach under similar computational constraints. (author)

  5. Life-Cycle-Based Multicriteria Sustainability Evaluation of Industrial Parks: A Case Study in China

    OpenAIRE

    Yang, Jin; Chen, Bin; Qi, Jing; Zhou, Shiyi; Jiang, Meiming

    2012-01-01

    Along with increasing concerns on environmental protection and global warming mitigation, new industrial organization modes such as “Ecoindustrial Park” and “Low Carbon Industrial Park” are emerging. Since ecoindustrial parks and low carbon industrial parks may offer multifaceted benefits to the users, it naturally follows that the sustainability assessment of the industrial parks ought to adopt a multicriteria methodology. In this paper, a multicriteria sustainable evaluation framework is pr...

  6. The Ailing U.S. Defense Industrial Base: Is the Industrial Modernization Incentives Program (IMIP) the Answer?

    Science.gov (United States)

    1988-09-01

    have been based on accounting, tax avoidance, financial management, mergers , acquisitions, and litigation. They have been innovations on paper...doing all it reasonably could be expected to do given the situation. Interview Question #13 Given the restrictive nature of DOD acqusition policies...22. . "Readiness Planning in a Peacetime Environment," Proceedinas of the 1983 Federal Acqusition Research Symposium. 320-325. Springfield VA

  7. Community-based Music Education: Influences of Industrial Bands in the American South.

    Science.gov (United States)

    LeCroy, Hoyt F.

    1998-01-01

    Presents a case study focusing on the mill-supported Lindale Band in Lindale, Georgia in order to examine the influences of industry on instrumental music education in the U.S. South. Investigates the history of U.S. industrial bands and the philosophical parallels between industry and progressive education. (CMK)

  8. Educational Opportunities Based on the University-Industry Synergies in an Open Innovation Framework

    Science.gov (United States)

    Lucia, Oscar; Burdio, Jose M.; Acero, Jesus; Barragan, Luis A.; Garcia, Jose R.

    2012-01-01

    Collaboration between Industry and University is becoming more important in order to improve the competitiveness of the research and development activities. Moreover, establishing synergies to bridge the gap between the academic and industrial spheres has demonstrated to be advantageous for both of them. Nowadays, Industry is moving towards an…

  9. Risk Contagion in Chinese Banking Industry: A Transfer Entropy-Based Analysis

    Directory of Open Access Journals (Sweden)

    Jianping Li

    2013-12-01

    Full Text Available What is the impact of a bank failure on the whole banking industry? To resolve this issue, the paper develops a transfer entropy-based method to determine the interbank exposure matrix between banks. This method constructs the interbank market structure by calculating the transfer entropy matrix using bank stock price sequences. This paper also evaluates the stability of Chinese banking system by simulating the risk contagion process. This paper contributes to the literature on interbank contagion mainly in two ways: it establishes a convincing connection between interbank market and transfer entropy, and exploits the market information (stock price rather than presumptions to determine the interbank exposure matrix. Second, the empirical analysis provides an in depth understanding of the stability of the current Chinese banking system.

  10. A Real-Time Monitoring System of Industry Carbon Monoxide Based on Wireless Sensor Networks.

    Science.gov (United States)

    Yang, Jiachen; Zhou, Jianxiong; Lv, Zhihan; Wei, Wei; Song, Houbing

    2015-11-20

    Carbon monoxide (CO) burns or explodes at over-standard concentration. Hence, in this paper, a Wifi-based, real-time monitoring of a CO system is proposed for application in the construction industry, in which a sensor measuring node is designed by low-frequency modulation method to acquire CO concentration reliably, and a digital filtering method is adopted for noise filtering. According to the triangulation, the Wifi network is constructed to transmit information and determine the position of nodes. The measured data are displayed on a computer or smart phone by a graphical interface. The experiment shows that the monitoring system obtains excellent accuracy and stability in long-term continuous monitoring.

  11. A mobile-device based applications software for industrial gamma radiography

    International Nuclear Information System (INIS)

    Acharya, Rajesh V.; Mitra, Anant; Kumar, Saroj; Lakshminarayana, Y.; Walinjkar, Parag; Kumar, Umesh

    2013-12-01

    The paper discusses a mobile device based application software for performing calculations required in industrial film radiography using radioisotope sources. The application enables the user to find residual life of a radioactive source, saving multiple source details in the phone memory, exposure time calculation required in gamma radiography and running multiple countdown clocks for accurate and convenient counting of exposure time. The application is also able to provide vibrating and audio alarms when the countdown finishes, automatic SMS facility to multiple users informing details of low activity sources in custody and cordon-off distances for open-source radiography. The application has been developed to work under Android, I-phone (Apple), Blackberry (RIM), Windows, Symbian operating systems and J2ME enabled feature phones. A simplified version of this application with limited features runs on java enabled low-cost mobile phones and tablets. (author)

  12. Methanol-based industrial biotechnology: current status and future perspectives of methylotrophic bacteria.

    Science.gov (United States)

    Schrader, Jens; Schilling, Martin; Holtmann, Dirk; Sell, Dieter; Filho, Murillo Villela; Marx, Achim; Vorholt, Julia A

    2009-02-01

    Methanol is one of the building blocks in the chemical industry and can be synthesized either from petrochemical or renewable resources, such as biogas. Bioprocess technology with methylotrophic bacteria is well established, as illustrated by large-scale single-cell protein production in the past. During recent years, the first genomes of methylotrophs have been sequenced and significant progress in elucidating their metabolism has been made. In addition, the tool set for genetic engineering of methylotrophic bacteria has expanded greatly and strategies to produce fine and bulk chemicals with methylotrophs have been described. This review highlights the potential of these bacteria for the development of economically competitive bioprocesses based on methanol as an alternative carbon source, bringing together biological, technical and economic considerations.

  13. Spatial clustering of knowledge-based industries in the Helsinki Metropolitan Area

    Directory of Open Access Journals (Sweden)

    Juan Eduardo Chica

    2016-01-01

    Full Text Available The central locations of metropolitan areas have some specific attributes, leading to an accumulation of large knowledge exchanges and extensive knowledge externalities, which encourage the concentration of various economic activities, especially knowledge-based industries (KBI. Other agglomeration economies found in metropolitan areas – such as telecommunications and transport infrastructures connected to global productive circuits and complementary labour markets – are key factors for KBI employment growth. This paper explores the Helsinki Metropolitan Area’s (HMA spatial clustering of KBI at the sub-district level, and the role played by agglomeration economies (both specialization and diversity economies in fostering this process. The results reveal that KBI employment shows patterns of concentration in the core and adjacent areas. The specialization and diversity economies found in the metropolitan core and the specialization economies found in others areas lead to KBI spatial clustering in the HMA. Public policies regarding the promotion of science parks have also played a decisive role.

  14. An Energy Efficiency Evaluation Method Based on Energy Baseline for Chemical Industry

    Directory of Open Access Journals (Sweden)

    Dong-mei Yao

    2016-01-01

    Full Text Available According to the requirements and structure of ISO 50001 energy management system, this study proposes an energy efficiency evaluation method based on energy baseline for chemical industry. Using this method, the energy plan implementation effect in the processes of chemical production can be evaluated quantitatively, and evidences for system fault diagnosis can be provided. This method establishes the energy baseline models which can meet the demand of the different kinds of production processes and gives the general solving method of each kind of model according to the production data. Then the energy plan implementation effect can be evaluated and also whether the system is running normally can be determined through the baseline model. Finally, this method is used on cracked gas compressor unit of ethylene plant in some petrochemical enterprise; it can be proven that this method is correct and practical.

  15. Reliability-based approaches for safety margin assessment in the French nuclear industry

    International Nuclear Information System (INIS)

    Ardillon, E.; Barthelet, B.; Meister, E.; Cambefort, P.; Hornet, P.; Le Delliou, P.

    2003-01-01

    The prevention of the fast fracture damage of the mechanical equipment important for the safety of nuclear islands of the French PWR relies on deterministic rules. These rules include flaw acceptance criteria involving safety factors applied to characteristic values (implicit margins) of the physical variables. The sets of safety factors that are currently under application in the industrial analyses with the agreement of the Safety Authority, are distributed across the two main physical parameters and have partly been based on a semi-probabilistic approach. After presenting the generic probabilistic pro-codification approach this paper shows its application to the evaluation of the performances of the existing regulatory flaw acceptance criteria. This application can be carried out in a realistic manner or in a more simplified one. These two approaches are applied to representative mechanical components. Their results are consistent. (author)

  16. An Industrial Radipgraphy Exposure Device Based on Measurement of Transmitted Gamma-Ray Intensity

    International Nuclear Information System (INIS)

    Polee, C.; Chankow, N.; Srisatit, S.; Thong-Aram, D.

    2014-01-01

    In film radiography, underexposure and overexposure may happen particularly when lacking knowledge of specimen material and hollowness. This paper describes a method and a device for determining exposure in industrial gamma-ray radiography based on quick measurement of transmitted gamma-ray intensity with a D3372 Hamamatsu small GM tube. Application software is developed for Android mobile phone to remotely control the device and to display the counting data via Bluetooth. Prior to placing film, the device is placed behind the specimen to be radiographed to determine the exposure time from the transmitted intensity which is independent on source activity, source-to-film distance, specimen thickness and kind of material. The developed technique and device make radiographic process economic, convenient and more reliable.

  17. A SOA-Based Embedded Systems Development Environment for Industrial Automation

    Directory of Open Access Journals (Sweden)

    Thramboulidis KC

    2008-01-01

    Full Text Available Abstract Currently available toolsets for the development of embedded systems adopt traditional architectural styles and do not cover the whole requirements of the development process, with extensibility being the major drawback. In this paper, a service-oriented architectural framework that exploits semantic web is defined. Features required in the development process are defined as web services and published into the public domain, so as to be used on demand by developers to construct their projects' specific integrated development environments (IDEs. The infrastructure required to build a web service-based IDE is presented. Specific web services are defined and the way these services affect the development process is discussed. Special focus is given on the device model and the means that such a modelling can significantly improve the development process. A prototype implementation demonstrates the applicability and usefulness of the proposed demand-led development process in the industrial automation domain.

  18. SISGR: Improved Electrical Energy Storage with Electrochemical Double Layer Capacitance Based on Novel Carbon Electrodes, New Electrolytes, and Thorough Development of a Strong Science Base

    Energy Technology Data Exchange (ETDEWEB)

    Ruoff, Rodney S. [PI; Alam, Todd M. [co-PI; Bielawski, Christopher W. [co-PI; Chabal, Yves [co-PI; Hwang, Gyeong [co-PI; Ishii, Yoshitaka [co-PI; Rogers, Robin [co-PI

    2014-07-23

    The broad objective of the SISGR program is to advance the fundamental scientific understanding of electrochemical double layer capacitance (EDLC) and thus of ultracapacitor systems composed of a new type of electrode based on chemically modified graphene (CMG) and (primarily) with ionic liquids (ILs) as the electrolyte. Our team has studied the interplay between graphene-based and graphene-derived carbons as the electrode materials in electrochemical double layer capacitors (EDLC) systems on the one hand, and electrolytes including novel ionic liquids (ILs), on the other, based on prior work on the subject.

  19. Evaluation method of economic efficiency of industrial scale research based on an example of coking blend pre-drying technology

    Directory of Open Access Journals (Sweden)

    Żarczyński Piotr

    2017-01-01

    Full Text Available The research on new and innovative solutions, technologies and products carried out on an industrial scale is the most reliable method of verifying the validity of their implementation. The results obtained in this research method give almost one hundred percent certainty although, at the same time, the research on an industrial scale requires the expenditure of the highest amount of money. Therefore, this method is not commonly applied in the industrial practices. In the case of the decision to implement new and innovative technologies, it is reasonable to carry out industrial research, both because of the cognitive values and its economic efficiency. Research on an industrial scale may prevent investment failure as well as lead to an improvement of technologies, which is the source of economic efficiency. In this paper, an evaluation model of economic efficiency of the industrial scale research has been presented. This model is based on the discount method and the decision tree model. A practical application of this proposed evaluation model has been presented based on an example of the coal charge pre-drying technology before coke making in a coke oven battery, which may be preceded by industrial scale research on a new type of coal charge dryer.

  20. A comparison of prognostic significance of strong ion gap (SIG) with other acid-base markers in the critically ill: a cohort study.

    Science.gov (United States)

    Ho, Kwok M; Lan, Norris S H; Williams, Teresa A; Harahsheh, Yusra; Chapman, Andrew R; Dobb, Geoffrey J; Magder, Sheldon

    2016-01-01

    This cohort study compared the prognostic significance of strong ion gap (SIG) with other acid-base markers in the critically ill. The relationships between SIG, lactate, anion gap (AG), anion gap albumin-corrected (AG-corrected), base excess or strong ion difference-effective (SIDe), all obtained within the first hour of intensive care unit (ICU) admission, and the hospital mortality of 6878 patients were analysed. The prognostic significance of each acid-base marker, both alone and in combination with the Admission Mortality Prediction Model (MPM0 III) predicted mortality, were assessed by the area under the receiver operating characteristic curve (AUROC). Of the 6878 patients included in the study, 924 patients (13.4 %) died after ICU admission. Except for plasma chloride concentrations, all acid-base markers were significantly different between the survivors and non-survivors. SIG (with lactate: AUROC 0.631, confidence interval [CI] 0.611-0.652; without lactate: AUROC 0.521, 95 % CI 0.500-0.542) only had a modest ability to predict hospital mortality, and this was no better than using lactate concentration alone (AUROC 0.701, 95 % 0.682-0.721). Adding AG-corrected or SIG to a combination of lactate and MPM0 III predicted risks also did not substantially improve the latter's ability to differentiate between survivors and non-survivors. Arterial lactate concentrations explained about 11 % of the variability in the observed mortality, and it was more important than SIG (0.6 %) and SIDe (0.9 %) in predicting hospital mortality after adjusting for MPM0 III predicted risks. Lactate remained as the strongest predictor for mortality in a sensitivity multivariate analysis, allowing for non-linearity of all acid-base markers. The prognostic significance of SIG was modest and inferior to arterial lactate concentration for the critically ill. Lactate concentration should always be considered regardless whether physiological, base excess or physical-chemical approach

  1. Testing strong interaction theories

    International Nuclear Information System (INIS)

    Ellis, J.

    1979-01-01

    The author discusses possible tests of the current theories of the strong interaction, in particular, quantum chromodynamics. High energy e + e - interactions should provide an excellent means of studying the strong force. (W.D.L.)

  2. Estimation of strong ground motion in broad-frequency band based on a seismic source scaling model and an empirical Green's function technique

    Directory of Open Access Journals (Sweden)

    K. Kamae

    1994-06-01

    Full Text Available We introduce a generalized method for simulating strong ground motion from large earthquakes by summing subevent records to follow the ?2 law. The original idea of the method is based on a constant stress parameter between the target event and the subevent. It is applicable to a case where both events have a different stress drop after some manipulation. However, the simulation for a very large earthquake from a small event with this method has inevitably some deficiencies of spectral amplitudes in the intermediate frequency range deviating f`rom the ?2 model, although the high and low frequency motions match the scaling. We improve the simulation algorithm so as not to make spectral sags, introducing self-similar distribution of subfaults with different sizes in the fault plane, so-called fractal composite faulting model. We show successful simulations for intermediate-sized earthquakes (MJMA = 5.0, 6.0 and 6.1, the large aftershocks of the 1983 Akita-Oki earthquake. using the records of smaller aftershocks (MJMA = 3.9 and 5.0 as an empirical Green's function. Further, we attempted to estimate strong ground motion for the 1946 Nankai earthquake with Mw 8.2, using the records of a MJMA 5.1 earthquake occurring near the source region of the mainshock. We found that strong ground motions simulated for the fractal composite faulting model with two asperities radiating significantly high frequency motions matched well the observed data such as the near-field displacement record, the source spectrum estimated from the teleseismic record, and the seismic intensity distribution during the 1946 Nankai earthquake.

  3. A Research Based on the metering and detecting Device for Industrial dispenser of non-contact technology

    Science.gov (United States)

    Chen, Xin; Li, Jingjing; Wang, Jingying

    2017-12-01

    Based on the non-contact detection technology, for the needs of on-site measurement for industrial dispenser, the dispenser device is designed and utilized non-contact laser measuring technology with high precision for measurement of length and speed to measure the coordination of displacement stroke and speed. According to “GBT 26799-2011 technical conditions for General Dispenser”, several key parameters are detected by comparing the experimental results, to meet the metering requirements of industrial dispenser.

  4. A practical model-based statistical approach for generating functional test cases: application in the automotive industry

    OpenAIRE

    Awédikian , Roy; Yannou , Bernard

    2012-01-01

    International audience; With the growing complexity of industrial software applications, industrials are looking for efficient and practical methods to validate the software. This paper develops a model-based statistical testing approach that automatically generates online and offline test cases for embedded software. It discusses an integrated framework that combines solutions for three major software testing research questions: (i) how to select test inputs; (ii) how to predict the expected...

  5. Don't Think, Just Feel the Music: Individuals with Strong Pavlovian-to-Instrumental Transfer Effects Rely Less on Model-based Reinforcement Learning.

    Science.gov (United States)

    Sebold, Miriam; Schad, Daniel J; Nebe, Stephan; Garbusow, Maria; Jünger, Elisabeth; Kroemer, Nils B; Kathmann, Norbert; Zimmermann, Ulrich S; Smolka, Michael N; Rapp, Michael A; Heinz, Andreas; Huys, Quentin J M

    2016-07-01

    Behavioral choice can be characterized along two axes. One axis distinguishes reflexive, model-free systems that slowly accumulate values through experience and a model-based system that uses knowledge to reason prospectively. The second axis distinguishes Pavlovian valuation of stimuli from instrumental valuation of actions or stimulus-action pairs. This results in four values and many possible interactions between them, with important consequences for accounts of individual variation. We here explored whether individual variation along one axis was related to individual variation along the other. Specifically, we asked whether individuals' balance between model-based and model-free learning was related to their tendency to show Pavlovian interferences with instrumental decisions. In two independent samples with a total of 243 participants, Pavlovian-instrumental transfer effects were negatively correlated with the strength of model-based reasoning in a two-step task. This suggests a potential common underlying substrate predisposing individuals to both have strong Pavlovian interference and be less model-based and provides a framework within which to interpret the observation of both effects in addiction.

  6. A Rapid Coordinate Transformation Method Applied in Industrial Robot Calibration Based on Characteristic Line Coincidence.

    Science.gov (United States)

    Liu, Bailing; Zhang, Fumin; Qu, Xinghua; Shi, Xiaojia

    2016-02-18

    Coordinate transformation plays an indispensable role in industrial measurements, including photogrammetry, geodesy, laser 3-D measurement and robotics. The widely applied methods of coordinate transformation are generally based on solving the equations of point clouds. Despite the high accuracy, this might result in no solution due to the use of ill conditioned matrices. In this paper, a novel coordinate transformation method is proposed, not based on the equation solution but based on the geometric transformation. We construct characteristic lines to represent the coordinate systems. According to the space geometry relation, the characteristic line scan is made to coincide by a series of rotations and translations. The transformation matrix can be obtained using matrix transformation theory. Experiments are designed to compare the proposed method with other methods. The results show that the proposed method has the same high accuracy, but the operation is more convenient and flexible. A multi-sensor combined measurement system is also presented to improve the position accuracy of a robot with the calibration of the robot kinematic parameters. Experimental verification shows that the position accuracy of robot manipulator is improved by 45.8% with the proposed method and robot calibration.

  7. A Rapid Coordinate Transformation Method Applied in Industrial Robot Calibration Based on Characteristic Line Coincidence

    Directory of Open Access Journals (Sweden)

    Bailing Liu

    2016-02-01

    Full Text Available Coordinate transformation plays an indispensable role in industrial measurements, including photogrammetry, geodesy, laser 3-D measurement and robotics. The widely applied methods of coordinate transformation are generally based on solving the equations of point clouds. Despite the high accuracy, this might result in no solution due to the use of ill conditioned matrices. In this paper, a novel coordinate transformation method is proposed, not based on the equation solution but based on the geometric transformation. We construct characteristic lines to represent the coordinate systems. According to the space geometry relation, the characteristic line scan is made to coincide by a series of rotations and translations. The transformation matrix can be obtained using matrix transformation theory. Experiments are designed to compare the proposed method with other methods. The results show that the proposed method has the same high accuracy, but the operation is more convenient and flexible. A multi-sensor combined measurement system is also presented to improve the position accuracy of a robot with the calibration of the robot kinematic parameters. Experimental verification shows that the position accuracy of robot manipulator is improved by 45.8% with the proposed method and robot calibration.

  8. The applicability of knowledge-based scheduling to the utilities industry

    International Nuclear Information System (INIS)

    Yoshimoto, G.; Gargan, R. Jr.; Duggan, P.

    1992-01-01

    The Electric Power Research Institute (EPRI), Nuclear Power Division, has identified the three major goals of high technology applications for nuclear power plants. These goals are to enhance power production through increasing power generation efficiency, to increase productivity of the operations, and to reduce the threats to the safety of the plant. Our project responds to the second goal by demonstrating that significant productivity increases can be achieved for outage maintenance operations based on existing knowledge-based scheduling technology. Its use can also mitigate threats to potential safety problems by means of the integration of risk assessment features into the scheduler. The scheduling approach uses advanced techniques enabling the automation of the routine scheduling decision process that previously was handled by people. The process of removing conflicts in scheduling is automated. This is achieved by providing activity representations that allow schedulers to express a variety of different scheduling constraints and by implementing scheduling mechanisms that simulate kinds of processes that humans use to find better solutions from a large number of possible solutions. This approach allows schedulers to express detailed constraints between activities and other activities, resources (material and personnel), and requirements that certain states exist for their execution. Our scheduler has already demonstrated its benefit to improving the shuttle processing flow management at Kennedy Space Center. Knowledge-based scheduling techniques should be examined by utilities industry researchers, developers, operators and management for application to utilities planning problems because of its great cost benefit potential. 4 refs., 4 figs

  9. A Rapid Coordinate Transformation Method Applied in Industrial Robot Calibration Based on Characteristic Line Coincidence

    Science.gov (United States)

    Liu, Bailing; Zhang, Fumin; Qu, Xinghua; Shi, Xiaojia

    2016-01-01

    Coordinate transformation plays an indispensable role in industrial measurements, including photogrammetry, geodesy, laser 3-D measurement and robotics. The widely applied methods of coordinate transformation are generally based on solving the equations of point clouds. Despite the high accuracy, this might result in no solution due to the use of ill conditioned matrices. In this paper, a novel coordinate transformation method is proposed, not based on the equation solution but based on the geometric transformation. We construct characteristic lines to represent the coordinate systems. According to the space geometry relation, the characteristic line scan is made to coincide by a series of rotations and translations. The transformation matrix can be obtained using matrix transformation theory. Experiments are designed to compare the proposed method with other methods. The results show that the proposed method has the same high accuracy, but the operation is more convenient and flexible. A multi-sensor combined measurement system is also presented to improve the position accuracy of a robot with the calibration of the robot kinematic parameters. Experimental verification shows that the position accuracy of robot manipulator is improved by 45.8% with the proposed method and robot calibration. PMID:26901203

  10. Intelligent Model Building and GPC-PID Based Temperature Curve Control Strategy for Metallurgical Industry

    Directory of Open Access Journals (Sweden)

    Shuanghong Li

    2016-01-01

    Full Text Available Laminar cooling process is a large-scale, nonlinear system, so the temperature control of such system is a difficult and complex problem. In this paper, a novel modeling method and a GPC-PID based control strategy for laminar cooling process are proposed to control the global temperature curve to produce high quality steel. First, based on the analysis of the cooling process of laminar flow, a new TS fuzzy model which possesses intelligence and self-learning ability is established to improve the temperature prediction accuracy. Second, the target temperature curve can be divided into several subgoals and each subgoal can be described by a CARIMA type of model. Then, by the decentralized predictive control method, GPC-PID based control strategy is introduced to guarantee the laminar cooling process to achieve subtargets, respectively; in that way the steel plate temperature will drop along the optimal temperature curve. Moreover, by employing the dSPACE control board into the process control system, the matrix process ability is added to the production line without large-scale reconstruction. Finally, the effectiveness and performance of the proposed modeling and control strategy are demonstrated by the industrial data and metallography detection in one steel company.

  11. Evaluation of acid-base disorders in dogs and cats presenting to an emergency room. Part 2: comparison of anion gap, strong ion gap, and semiquantitative analysis.

    Science.gov (United States)

    Hopper, Kate; Epstein, Steven E; Kass, Philip H; Mellema, Matthew S

    2014-01-01

    To compare the diagnostic performance of the anion gap (AG) with 2 physicochemical approaches to identify unmeasured anions. Prospective cohort study. University teaching hospital. Eighty-four dogs and 14 cats presenting to a university teaching hospital emergency room. All dogs and cats in which venous blood samples for acid-base, lactate, and serum biochemical analysis were all collected within 60 minutes of each other, over a 5-month enrollment period. Unmeasured anions were quantified using each of three approaches: the anion gap (AG), strong ion gap (SIG), and a semiquantitative approach (XA). An increased AG metabolic acidosis was evident in 34/98 of cases. The Stewart approach identified an increased SIG acidosis in 49/98 of cases. There was a strong correlation between SIG and AG (r = 0.89; P anions in 68/98 of cases. There was a moderate correlation between AG and XA (r = 0.68; P anions occurred commonly in this sample of small animal emergency room patients and physiochemical approaches identified more animals with unmeasured anions than the traditional AG calculation. Further studies are needed to determine if the results of the physicochemical approach improves clinical management and warrants the associated increases in cost and complexity. © Veterinary Emergency and Critical Care Society 2014.

  12. Strong minor groove base conservation in sequence logos implies DNA distortion or base flipping during replication and transcription initiation | Center for Cancer Research

    Science.gov (United States)

    Dubbed "Tom's T" by Dhruba Chattoraj, the unusually conserved thymine at position +7 in bacteriophage P1 plasmid RepA DNA binding sites rises above repressor and acceptor sequence logos. The T appears to represent base flipping prior to helix opening in this DNA replication initation protein.

  13. Analysis of the Relationship between Port Industry and Economic Growth Based on Cointegration Theory

    Directory of Open Access Journals (Sweden)

    Jianping Sun

    2017-01-01

    Full Text Available The reciprocal covariance function between port Industry indicator and economic growth indicator is constructed according to time series, the cross spectral density between port industry indicator and economic growth indicator is obtained by Fourier transform after Yessentuki-Henning window truncation, and the correlation, coherence and leading lag relationship between port industry and economic growth were calculated by calculating the estimated values of mutual amplitude spectrum, coherence spectrum and phase spectrum. Then, the causality between port industry and economic growth is tested by cointegration theory, and the relationship between endogenous factors and exogenous variables is determined by impulse response and variance decomposition. The calculation results of the actual data show that the development of China’s port industry and economic growth maintain a high degree of consistency in the length of 3 to 4 years and economic growth will lead the development of the port industry 0.8 years to 1.1 years. The results of dynamic econometric analysis show that China’s port industry and economic growth are Granger reasons; China’s port industry has made a negative response to economic growth. The economic growth has made a positive response to the impact of the development of the port industry, and the response has gradually increased with the passage of time; China’s port industry and economic growth are affected by endogenous variables, and both of them affect each other in the course of development.

  14. A novel method of freeform surface grinding with a soft wheel based on industrial robots

    Science.gov (United States)

    Sha, Sheng-chun; Guo, Xiao-ling

    2011-08-01

    In order to meet the growing demand for high-quality images, optical elements of freeform surface are more and more applied to imaging system. However the fabrication of freeform surface optical elements is much more difficult than that of traditional spherical ones. Recent research on freeform surface manufacture often deals with precision machine tools which have limitations on dimensions and are always expensive. Little has been researched on industrial robots. In this paper, a new method of freeform surface grinding based on industrial robots was found. This method could be applied to both whole surface grinding as well as partial surface grinding. The diameter of lenses to be ground would not be restricted to the machine tool's size. In this method a high-speed-rotating soft wheel was used. The relation between removing amount and grinding time which could be called removing function was established and measured. The machining precision was achieved by means of controlling the grinding time instead of the machine tool or industrial robot itself. There are two main factors affecting the removing function: i).rotating speed of the soft wheel; ii).pressure between the wheel and the work piece. In this paper, two groups of experiments have been conducted. One is the removing function tested at constant rotating speed while under different pressure. The other is that tested under a certain pressure with variable speed. Tables and curves which can show the effect of speed and pressure on the removing efficiency have been obtained. Cause for inaccuracy between experiment data and calculated result according to the theory and the non-linearity in the curves was analyzed. Through these analyses the removing function could be concluded under certain condition including rotating speed and pressure. Finally several experiments were performed to verify the appropriateness of the removing function. It could also be concluded that this method was more efficient in comparison

  15. Financial Services: A Report on the Industry 2004

    National Research Council Canada - National Science Library

    Blair, David; Keese, Howard; Watson, Tom; Aragon, Jay; Celko, Milan; Drapp, Brian; Toro, Moises Del; Goodman, Sandy; Griffith, Dave; Keegan, Ed

    2004-01-01

    .... The financial services portion of the U.S. industrial base is generally strong. U.S. companies in this sector have transformed their business strategies to improve competitive advantages. The U.S...

  16. A new web-based modelling tool (Websim-MILQ) aimed at optimisation of thermal treatments in the dairy industry

    NARCIS (Netherlands)

    Schutyser, M.A.I.; Straatsma, J.; Keijzer, P.M.; Verschueren, M.; Jong, de P.

    2008-01-01

    In the framework of a cooperative EU research project (MILQ-QC-TOOL) a web-based modelling tool (Websim-MILQ) was developed for optimisation of thermal treatments in the dairy industry. The web-based tool enables optimisation of thermal treatments with respect to product safety, quality and costs.

  17. Possible Short-Term Precursors of Strong Crustal Earthquakes in Japan based on Data from the Ground Stations of Vertical Ionospheric Sounding

    Science.gov (United States)

    Korsunova, L. P.; Khegai, V. V.

    2018-01-01

    We have studied changes in the ionosphere prior to strong crustal earthquakes with magnitudes of M ≥ 6.5 based on the data from the ground-based stations of vertical ionospheric sounding Kokobunji, Akita, and Wakkanai for the period 1968-2004. The data are analyzed based on hourly measurements of the virtual height and frequency parameters of the sporadic E layer and critical frequency of the regular F2 layer over the course of three days prior to the earthquakes. In the studied intervals of time before all earthquakes, anomalous changes were discovered both in the frequency parameters of the Es and F2 ionospheric layers and in the virtual height of the sporadic E layer; the changes were observed on the same day at stations spaced apart by several hundred kilometers. A high degree of correlation is found between the lead-time of these ionospheric anomalies preceding the seismic impact and the magnitude of the subsequent earthquakes. It is concluded that such ionospheric disturbances can be short-term ionospheric precursors of earthquakes.

  18. The Quota-Based Compensation Plan in Fashion Retailing Industry under Asymmetric Information

    Directory of Open Access Journals (Sweden)

    Mingzhu Yu

    2014-01-01

    Full Text Available We study a compensation plan problem in the fashion retailing industry, which involves a risk-neutral fashion retailer and a risk-neutral salesperson, in a two-stage game framework with asymmetric information. In the first stage, the fashion retailer provides a menu of compensation plans to the salesperson who decides which plan to sign based on his superior market demand information. Confronted with the asymmetric demand information, the fashion retailer could observe market information from the salesperson's response by designing a menu of compensation plans rather than a single one to the salesperson. In the second stage, the fashion retailer then makes production decision and the salesperson determines his selling effort. We consider both adverse selection and moral hazard. We adopt the quota-based plan to derive the fashion retailer’s optimal compensation plan design and the salesperson's best response. We emphasize the impact of the quota level on the system outcomes. The results reveal that a higher quota level is disadvantageous to the fashion retailer but advantageous to the salespersons.

  19. Beam shaping diffuser based fiber injection for increasing stability of industrial robotic laser applications

    Science.gov (United States)

    Lizotte, Todd E.; Dickey, Fred M.

    2013-09-01

    This paper documents the investigation of a diffuser based fiber injection system and its successful implementation and experimental testing in a robotic industrial process. This is a new concept based on the idea that a diffuser that has the angular radiation pattern matching the NA of the fiber can be used to approximate the field pattern at the face of a mode filled fiber. The research considered two approaches to this problem. The two related approaches to the problem were developed conceptually and analytically for two predominant wavelengths of interest, 1030 nm and 532 nm. The first is an implementation that would consist of illuminating the diffuser with a uniform spot having the same shape as the fiber core and imaging the illuminated spot onto the fiber face. The other approach is the use of a far-field (Fourier transform) diffractive element with a transform lens. This paper will provide an overview of the analytics and testing of the later concept (Fourier transform) and the experimental implementation of the design to a laser fiber coupling system to launch a 532 nm pulsed laser beam into a square core fiber optical beam delivery system. Further detail will be shared with the experimental performance of the design when integrated within a multi-axis robotic arm, which has six degrees of freedom. These results will include how the fiber injection system improved laser beam stability during process operations, in comparison to traditional simple lens injection methods.

  20. Surface inspection system for industrial components based on shape from shading minimization approach

    Science.gov (United States)

    Kotan, Muhammed; Öz, Cemil

    2017-12-01

    An inspection system using estimated three-dimensional (3-D) surface characteristics information to detect and classify the faults to increase the quality control on the frequently used industrial components is proposed. Shape from shading (SFS) is one of the basic and classic 3-D shape recovery problems in computer vision. In our application, we developed a system using Frankot and Chellappa SFS method based on the minimization of the selected basis function. First, the specialized image acquisition system captured the images of the component. To eliminate noise, wavelet transform is applied to the taken images. Then, estimated gradients were used to obtain depth and surface profiles. Depth information was used to determine and classify the surface defects. Also, a comparison made with some linearization-based SFS algorithms was discussed. The developed system was applied to real products and the results indicated that using SFS approaches is useful and various types of defects can easily be detected in a short period of time.

  1. Measuring the Productivity of Energy Consumption of Major Industries in China: A DEA-Based Method

    Directory of Open Access Journals (Sweden)

    Xishuang Han

    2014-01-01

    Full Text Available Data envelopment analysis can be applied to measure the productivity of multiple input and output decision-making units. In addition, the data envelopment analysis-based Malmquist productivity index can be used as a tool for measuring the productivity change during different time periods. In this paper, we use an input-oriented model to measure the energy consumption productivity change from 1999 to 2008 of fourteen industry sectors in China as decision-making units. The results show that there are only four sectors that experienced effective energy consumption throughout the whole reference period. It also shows that these sectors always lie on the efficiency frontier of energy consumption as benchmarks. The other ten sectors experienced inefficiency in some two-year time periods and the productivity changes were not steady. The data envelopment analysis-based Malmquist productivity index provides a good way to measure the energy consumption and can give China's policy makers the information to promote their strategy of sustainable development.

  2. A Cumulative Energy Demand indicator (CED), life cycle based, for industrial waste management decision making

    Energy Technology Data Exchange (ETDEWEB)

    Puig, Rita, E-mail: rita.puig@eei.upc.edu [Escola d’Enginyeria d’Igualada (EEI), Universitat Politècnica de Catalunya (UPC), Plaça del Rei, 15, 08700 Igualada (Spain); Fullana-i-Palmer, Pere [UNESCO Chair in Life Cycle and Climate Change, Escola Superior de Comerç Internacional, Universitat Pompeu Fabra (UPF), c/Passeig Pujades, 1, 08003 Barcelona (Spain); Baquero, Grau; Riba, Jordi-Roger [Escola d’Enginyeria d’Igualada (EEI), Universitat Politècnica de Catalunya (UPC), Plaça del Rei, 15, 08700 Igualada (Spain); Bala, Alba [UNESCO Chair in Life Cycle and Climate Change, Escola Superior de Comerç Internacional, Universitat Pompeu Fabra (UPF), c/Passeig Pujades, 1, 08003 Barcelona (Spain)

    2013-12-15

    Highlights: • We developed a methodology useful to environmentally compare industrial waste management options. • The methodology uses a Net Energy Demand indicator which is life cycle based. • The method was simplified to be widely used, thus avoiding cost driven decisions. • This methodology is useful for governments to promote the best environmental options. • This methodology can be widely used by other countries or regions around the world. - Abstract: Life cycle thinking is a good approach to be used for environmental decision-support, although the complexity of the Life Cycle Assessment (LCA) studies sometimes prevents their wide use. The purpose of this paper is to show how LCA methodology can be simplified to be more useful for certain applications. In order to improve waste management in Catalonia (Spain), a Cumulative Energy Demand indicator (LCA-based) has been used to obtain four mathematical models to help the government in the decision of preventing or allowing a specific waste from going out of the borders. The conceptual equations and all the subsequent developments and assumptions made to obtain the simplified models are presented. One of the four models is discussed in detail, presenting the final simplified equation to be subsequently used by the government in decision making. The resulting model has been found to be scientifically robust, simple to implement and, above all, fulfilling its purpose: the limitation of waste transport out of Catalonia unless the waste recovery operations are significantly better and justify this transport.

  3. Human cell-based taste perception - a bittersweet job for industry.

    Science.gov (United States)

    Riedel, K; Sombroek, D; Fiedler, B; Siems, K; Krohn, M

    2017-05-10

    Covering: 2000 to 2016On the molecular level humans sense food by a variety of specialized tissues which express sensory receptors to handle nutritive value. In general, this means the interplay of gustatory, olfactory, trigeminal and haptic sensation is translated into perception and leads, in terms of taste, to descriptions like sweet, bitter, salty, sour and umami. Further perceptions include astringent, cool, hot, prickle, lingering, kokumi and fatty to name predominant characterizations. It is still not fully understood how this plethora of impressions can be perceived by quite a limited number of receptors obviously being the initial compilers to judge palatability. However, since the discovery of mammalian taste receptors (TASRs) almost 30 years ago the use of taste receptors in cell-based screening campaigns is advancing in industrial approaches. The article will highlight the impacts and the limits of cell-based guided identification of taste modulators for food applications with an emphasis on sweet, bitter and savory taste as well as implications emerging from natural products.

  4. Price-based Energy Control for V2G Networks in the Industrial Smart Grid

    Directory of Open Access Journals (Sweden)

    Rong Yu

    2015-08-01

    Full Text Available The energy crisis and global warming call for a new industrial revolution in production and distribution of renewable energy. Distributed power generation will be well developed in the new smart electricity distribution grid, in which robust power distribution will be the key technology. In this paper, we present a new vehicle-to-grid (V2G network for energy transfer, in which distributed renewable energy helps the power grid balance demand and supply. Plug-in hybrid electric vehicles (PHEVs will act as transporters of electricity for distributed renewable energy dispatching. We formulate and analyze the V2G network within the theoretical framework of complex network. We also employ the generalized synchronization method to study the dynamic behavior of V2G networks. Furthermore, we develop a new price-based energy control method to stimulate the PHEV's behavior of charging and discharging. Simulation results indicate that the V2G network can achieve synchronization and each region is able to balance energy supply and demand through price-based control.

  5. Empirical Study of E-logistics System Based on Tibet Logistics Industry

    OpenAIRE

    Liu, Yu

    2013-01-01

    With the rapid growth of E-logistics in the global logistics industry, it is important to get insight into E-logistics system in Chinese logistics industry. Regarding the current situation of E-logistics of Chinese logistics industry, there are still many problems to be concerned and resolved. This paper will review the concepts and theoretical background of E-logistics System from previous researches. After acknowledging the essential issues on E-logistics System, a research model is designe...

  6. Influencing Factors of Catering and Food Service Industry Based on Principal Component Analysis

    OpenAIRE

    Zi Tang

    2014-01-01

    Scientific analysis of influencing factors is of great importance for the healthy development of catering and food service industry. This study attempts to present a set of critical indicators for evaluating the contribution of influencing factors to catering and food service industry in the particular context of Harbin City, Northeast China. Ten indicators that correlate closely with catering and food service industry were identified and performed by the principal component analysis method u...

  7. The Application of Moessbauer Emission Spectroscopy to Industrial Cobalt Based Fischer-Tropsch Catalysts

    International Nuclear Information System (INIS)

    Loosdrecht, J. van de; Berge, P. J. van; Craje, M. W. J.; Kraan, A. M. van der

    2002-01-01

    The application of Moessbauer emission spectroscopy to study cobalt based Fischer-Tropsch catalysts for the gas-to-liquids process was investigated. It was shown that Moessbauer emission spectroscopy could be used to study the oxidation of cobalt as a deactivation mechanism of high loading cobalt based Fischer-Tropsch catalysts. Oxidation was observed under conditions that are in contradiction with the bulk cobalt phase thermodynamics. This can be explained by oxidation of small cobalt crystallites or by surface oxidation. The formation of re-reducible Co 3+ species was observed as well as the formation of irreducible Co 3+ and Co 2+ species that interact strongly with the alumina support. The formation of the different cobalt species depends on the oxidation conditions. Iron was used as a probe nuclide to investigate the cobalt catalyst preparation procedure. A high-pressure Moessbauer emission spectroscopy cell was designed and constructed, which creates the opportunity to study cobalt based Fischer-Tropsch catalysts under realistic synthesis conditions.

  8. Evaluation index system of steel industry sustainable development based on entropy method and topsis method

    Science.gov (United States)

    Ronglian, Yuan; Mingye, Ai; Qiaona, Jia; Yuxuan, Liu

    2018-03-01

    Sustainable development is the only way for the development of human society. As an important part of the national economy, the steel industry is an energy-intensive industry and needs to go further for sustainable development. In this paper, we use entropy method and Topsis method to evaluate the development of China’s steel industry during the “12th Five-Year Plan” from four aspects: resource utilization efficiency, main energy and material consumption, pollution status and resource reuse rate. And we also put forward some suggestions for the development of China’s steel industry.

  9. Algal biorefinery-based industry: an approach to address fuel and food insecurity for a carbon-smart world.

    Science.gov (United States)

    Subhadra, Bobban

    2011-01-15

    Food and fuel production are intricately interconnected. In a carbon-smart society, it is imperative to produce both food and fuel sustainably. Integration of the emerging biorefinery concept with other industries can bring many environmental deliverables while mitigating several sustainability-related issues with respect to greenhouse gas emissions, fossil fuel usage, land use change for fuel production and future food insufficiency. A new biorefinery-based integrated industrial ecology encompasses the different value chain of products, coproducts, and services from the biorefinery industries. This paper discusses a framework to integrate the algal biofuel-based biorefinery, a booming biofuel sector, with other industries such as livestock, lignocellulosic and aquaculture. Using the USA as an example, this paper also illustrates the benefits associated with sustainable production of fuel and food. Policy and regulatory initiatives for synergistic development of the algal biofuel sector with other industries can bring many sustainable solutions for the future existence of mankind. Copyright © 2010 Society of Chemical Industry.

  10. The Assessment of Comprehensive Vulnerability of Chemical Industrial Park Based on Entropy Method and Matter-element Extension Model

    Directory of Open Access Journals (Sweden)

    Yan Jingyi

    2016-01-01

    Full Text Available The paper focuses on studying connotative meaning, evaluation methods and models for chemical industry park based on in-depth analysis of relevant research results in China and abroad, it summarizes and states the feature of menacing vulnerability and structural vulnerability and submits detailed influence factors such as personnel vulnerability, infrastructural vulnerability, environmental vulnerability and the vulnerability of safety managerial defeat. Using vulnerability scoping diagram establishes 21 evaluation indexes and an index system for the vulnerability evaluation of chemical industrial park. The comprehensive weights are calculated with entropy method, combining matter-element extension model to make the quantitative evaluation, then apply to evaluate some chemical industrial park successfully. This method provides a new ideas and ways for enhancing overall safety of the chemical industrial park.

  11. Control of Industrial Safety Based on Dynamic Characteristics of a Safety Budget-Industrial Accident Rate Model in Republic of Korea

    OpenAIRE

    Gi Heung Choi; Byoung Gook Loh

    2017-01-01

    Background: Despite the recent efforts to prevent industrial accidents in the Republic of Korea, the industrial accident rate has not improved much. Industrial safety policies and safety management are also known to be inefficient. This study focused on dynamic characteristics of industrial safety systems and their effects on safety performance in the Republic of Korea. Such dynamic characteristics are particularly important for restructuring of the industrial safety system. Methods: The e...

  12. Charge and Spin States in Schiff Base Metal Complexes with a Disiloxane Unit Exhibiting a Strong Noninnocent Ligand Character: Synthesis, Structure, Spectroelectrochemistry, and Theoretical Calculations.

    Science.gov (United States)

    Cazacu, Maria; Shova, Sergiu; Soroceanu, Alina; Machata, Peter; Bucinsky, Lukas; Breza, Martin; Rapta, Peter; Telser, Joshua; Krzystek, J; Arion, Vladimir B

    2015-06-15

    Mononuclear nickel(II), copper(II), and manganese(III) complexes with a noninnocent tetradentate Schiff base ligand containing a disiloxane unit were prepared in situ by reaction of 3,5-di-tert-butyl-2-hydroxybenzaldehyde with 1,3-bis(3-aminopropyl)tetramethyldisiloxane followed by addition of the appropriate metal(II) salt. The ligand H2L resulting from these reactions is a 2:1 condensation product of 3,5-di-tert-butyl-2-hydroxybenzaldehyde with 1,3-bis(3-aminopropyl)tetramethyldisiloxane. The resulting metal complexes, NiL·0.5CH2Cl2, CuL·1.5H2O, and MnL(OAc)·0.15H2O, were characterized by elemental analysis, spectroscopic methods (IR, UV-vis, X-band EPR, HFEPR, (1)H NMR), ESI mass spectrometry, and single crystal X-ray diffraction. Taking into account the well-known strong stabilizing effects of tert-butyl groups in positions 3 and 5 of the aromatic ring on phenoxyl radicals, we studied the one-electron and two-electron oxidation of the compounds using both experimental (chiefly spectroelectrochemistry) and computational (DFT) techniques. The calculated spin-density distribution and localized orbitals analysis revealed the oxidation locus and the effect of the electrochemical electron transfer on the molecular structure of the complexes, while time-dependent DFT calculations helped to explain the absorption spectra of the electrochemically generated species. Hyperfine coupling constants, g-tensors, and zero-field splitting parameters have been calculated at the DFT level of theory. Finally, the CASSCF approach has been employed to theoretically explore the zero-field splitting of the S = 2 MnL(OAc) complex for comparison purposes with the DFT and experimental HFEPR results. It is found that the D parameter sign strongly depends on the metal coordination geometry.

  13. Calculation of effective electromagnetic parameters of multi-needle zinc oxide whisker based on equivalent spherical particle and strong fluctuation theory

    Science.gov (United States)

    Zhao, Yu-Chen; Liu, Jiang-Fan; Song, Zhong-Guo; Xi, Xiao-Li

    2014-12-01

    Multi-needle zinc oxide whisker (M-ZnOw) includes tetrapod-needle ZnOw (T-ZnOw), flower-shaped ZnOw, and other similar ZnOw architectures. The unique three-dimensional (3D) and multi-needle-shaped structures give the special performance of M-ZnOw, but make it difficult to calculate the effective electromagnetic parameters of M-ZnOw composites. In this paper, based on the equivalent spherical particle and the strong fluctuation theory, three different closed-form expressions are presented to calculate the effective electromagnetic parameters of M-ZnOw composites. To start with, because of the macroscopic isotropic nature of M-ZnOw composites and lossy properties of M-ZnOw itself, an equivalent spherical particle is introduced in the scheme to simplify the unique microscopic structures of M-ZnOw, and the possible limitations of the presented equivalent spherical particle are discussed qualitatively. In addition, different closed-form expressions to calculate the effective electromagnetic parameter are obtained by means of representing the physical situations of conductive network as different correlation functions in the strong fluctuation theory. Finally, the effective permeability of a T-ZnOw/Fe - paraffin composite is calculated by these three expressions in 2-18 GHz frequency range. Very good agreement between the calculated and experimental results on one hand verifies the rationality of presented expressions, and on the other hand indicates that the correlation function plays an important role in improving the performance of the presented expression.

  14. Optimization of a development well pattern based on production performance: A case study of the strongly heterogeneous Sulige tight sandstone gas field, Ordos Basin

    Directory of Open Access Journals (Sweden)

    Yuegang Li

    2015-01-01

    Full Text Available As a typical tight sandstone gas field with strong heterogeneity, the Sulige Gas Field in the Ordos Basin faces major challenges in its development because the reservoirs in the gas field are small in effective sand scale, rapid in lithologic change, strong in plane heterogeneity, and poor in connectivity. How to scientifically deploy development wells to improve the recovery is the most important issue for the successful development of this kind of gas fields. Therefore, a well inference analysis was conducted to figure out the impact of well pattern density on the recovery based on the research of many years in gas field development methods and the summary of practical effect. In this paper, we put forward for the first time the concept of inter-well interference probability, and present the relationship between the probability of inter-well interference and well pattern density of the Sulige Gas Field. Then we established a mathematical model for the optimization of development well pattern by combining fine sand anatomy, reservoir engineering, numerical simulation and economic evaluation, and obtained a quantitative relationship between recovery and well pattern density. Furthermore, on the basis of comprehensive analysis, a reasonable development well pattern was designed for the Sulige Gas Field: this well pattern is parallelogram in shape, with a density of 3.1 wells/km2, well spacing of 500 m, and row spacing of 650 m. Development practices have confirmed that this scheme is capable of achieving better economic benefits, producing geological reserves as far as possible and improving the ultimate recovery of such gas fields.

  15. Energy saving and prediction modeling of petrochemical industries: A novel ELM based on FAHP

    International Nuclear Information System (INIS)

    Geng, ZhiQiang; Qin, Lin; Han, YongMing; Zhu, QunXiong

    2017-01-01

    Extreme learning machine (ELM), which is a simple single-hidden-layer feed-forward neural network with fast implementation, has been widely applied in many engineering fields. However, it is difficult to enhance the modeling ability of extreme learning in disposing the high-dimensional noisy data. And the predictive modeling method based on the ELM integrated fuzzy C-Means integrating analytic hierarchy process (FAHP) (FAHP-ELM) is proposed. The fuzzy C-Means algorithm is used to cluster the input attributes of the high-dimensional data. The Analytic Hierarchy Process (AHP) based on the entropy weights is proposed to filter the redundant information and extracts characteristic components. Then, the fusion data is used as the input of the ELM. Compared with the back-propagation (BP) neural network and the ELM, the proposed model has better performance in terms of the speed of convergence, generalization and modeling accuracy based on University of California Irvine (UCI) benchmark datasets. Finally, the proposed method was applied to build the energy saving and predictive model of the purified terephthalic acid (PTA) solvent system and the ethylene production system. The experimental results demonstrated the validity of the proposed method. Meanwhile, it could enhance the efficiency of energy utilization and achieve energy conservation and emission reduction. - Highlights: • The ELM integrated FAHP approach is proposed. • The FAHP-ELM prediction model is effectively verified through UCI datasets. • The energy saving and prediction model of petrochemical industries is obtained. • The method is efficient in improvement of energy efficiency and emission reduction.

  16. The Factors and Transversal Reorganizations Principles of Romanian Textile Industry Enterprises using Activity-Based Costing Method

    Directory of Open Access Journals (Sweden)

    Sorinel Capusneanu

    2007-04-01

    Full Text Available This article describes the factors and the principles of transversal reorganization of the enterprises from the Romanian textile industry by adapting the Activity-Based Costing method (ABC to its specific. There are presented and analyzed the real possibilities of reorganization of the enterprises in Romania by elaboration of methodological phases that will be covered until the implementation of their transversal organization. Are we ready to adapt the Activity-Based Costing method to the specific of the Romanian textile industry and not only? Here is the question whose response we will find in this article.

  17. Analysis on the Workspace of Six-degrees-of-freedom Industrial Robot Based on AutoCAD

    OpenAIRE

    Li Jin-quan; Zhang Rui; Cui Fang; Guan Qi; Zhang Yang

    2017-01-01

    This research discusses the workspace of the industrial robot with six degrees of freedom(6-DOF) based on AutoCAD platform. Based on the analysis of the overall configuration of the robot, this research establishes the kinematic mathematical model of the industrial robot by using DH parameters, and then solves the workspace of the robot consequently. In the AutoCAD, Auto Lisp language program is adopted to simulate the two-dimensional(2D) and three-dimensional(3D) space of the robot. Software...

  18. Stretchable and strong cellulose nanopaper structures based on polymer-coated nanofiber networks: an alternative to nonwoven porous membranes from electrospinning.

    Science.gov (United States)

    Sehaqui, Houssine; Morimune, Seira; Nishino, Takashi; Berglund, Lars A

    2012-11-12

    Nonwoven membranes based on electrospun fibers are of great interest in applications such as biomedical, filtering, and protective clothing. The poor mechanical performance is a limitation, as is some of the electrospinning solvents. To address these problems, porous nonwoven membranes based on nanofibrillated cellulose (NFC) modified by a hydroxyethyl cellulose (HEC) polymer coating are prepared. NFC/HEC aqueous suspensions are subjected to simple vacuum filtration in a paper-making fashion, followed by supercritical CO(2) drying. These nonwoven nanocomposite membranes are truly nanostructured and exhibit a nanoporous network structure with high specific surface area, as analyzed by nitrogen adsorption and FE-SEM. Mechanical properties evaluated by tensile tests show high strength combined with remarkably high strain to failure of up to 55%. XRD analysis revealed significant fibril realignment during tensile stretching. After postdrawing of the random mats, the modulus and strength are strongly increased. The present preparation route uses components from renewable resources, is environmentally friendly, and results in permeable membranes of exceptional mechanical performance.

  19. Double salt ionic liquids based on 1-ethyl-3-methylimidazolium acetate and hydroxyl-functionalized ammonium acetates: strong effects of weak interactions.

    Science.gov (United States)

    Pereira, Jorge F B; Barber, Patrick S; Kelley, Steven P; Berton, Paula; Rogers, Robin D

    2017-10-11

    The properties of double salt ionic liquids based on solutions of cholinium acetate ([Ch][OAc]), ethanolammonium acetate ([NH 3 (CH 2 ) 2 OH][OAc]), hydroxylammonium acetate ([NH 3 OH][OAc]), ethylammonium acetate ([NH 3 CH 2 CH 3 ][OAc]), and tetramethylammonium acetate ([N(CH 3 ) 4 ][OAc]) in 1-ethyl-3-methylimidazolium acetate ([C 2 mim][OAc]) were investigated by NMR spectroscopy and X-ray crystallography. Through mixture preparation, the solubility of [N(CH 3 ) 4 ][OAc] is the lowest, and [Ch][OAc] shows a 3-fold lower solubility than the other hydroxylated ammonium acetate-based salts in [C 2 mim][OAc] at room temperature. NMR and X-ray crystallographic studies of the pure salts suggest that the molecular-level mechanisms governing such miscibility differences are related to the weaker interactions between the -NH 3 groups and [OAc] - , even though three of these salts possess the same strong 1 : 1 hydrogen bonds between the cation -OH group and the [OAc] - ion. The formation of polyionic clusters between the anion and those cations with unsatisfied hydrogen bond donors seems to be a new tool by which the solubility of these salts in [C 2 mim][OAc] can be controlled.

  20. Nature and Dynamics of Industry-Based Workplace Learning for South African TVET Lecturers

    Science.gov (United States)

    van der Bijl, Andre; Taylor, Vanessa

    2016-01-01

    This article reports on the findings of an industry workplace experience project involving lecturers in South Africa's technical and vocational education and training (TVET) colleges, against the backdrop of new legislation and the realization that college lecturers' industry-related skills are in question. Its focus is on the nature of TVET…

  1. Emergy-based comparative analysis of energy intensity in different industrial systems.

    Science.gov (United States)

    Liu, Zhe; Geng, Yong; Wang, Hui; Sun, Lu; Ma, Zhixiao; Tian, Xu; Yu, Xiaoman

    2015-12-01

    With the rapid economic development, energy consumption of China has been the second place in the world next to the USA. Usually, measuring energy consumption intensity or efficiency applies heat unit which is joule per gross domestic production (GDP) or coal equivalent per GDP. However, this measuring approach is only oriented by the conversion coefficient of heat combustion which does not match the real value of the materials during their formation in the ecological system. This study applied emergy analysis to evaluate the energy consumption intensity to fill this gap. Emergy analysis is considered as a bridge between ecological system and economic system, which can evaluate the contribution of ecological products and services as well as the load placed on environmental systems. In this study, emergy indicator for performing energy consumption intensity of primary energy was proposed. Industrial production is assumed as the main contributor of energy consumption compared to primary and tertiary industries. Therefore, this study validated this method by investigating the two industrial case studies which were Dalian Economic Development Area (DEDA) and Fuzhou economic and technological area (FETA), to comparatively study on their energy consumption intensity between the different kinds of industrial systems and investigate the reasons behind the differences. The results show that primary energy consumption (PEC) of DEDA was much higher than that of FETA during 2006 to 2010 and its primary energy consumption ratio (PECR) to total emergy involvement had a dramatically decline from year 2006 to 2010. In the same time, nonrenewable energy of PEC in DEDA was also much higher than that in FETA. The reason was that industrial structure of DEDA was mainly formed by heavy industries like petro-chemistry industry, manufacturing industries, and high energy-intensive industries. However, FETA was formed by electronic business, food industry, and light industries. Although

  2. Analysis on Potential of Electric Energy Market based on Large Industrial Consumer

    Science.gov (United States)

    Lin, Jingyi; Zhu, Xinzhi; Yang, Shuo; Xia, Huaijian; Yang, Di; Li, Hao; Lin, Haiying

    2018-01-01

    The implementation of electric energy substitution by enterprises plays an important role in promoting the development of energy conservation and emission reduction in china. In order to explore alternative energy potential of industrial enterprises, to simulate and analyze the process of industrial enterprises, identify high energy consumption process and equipment, give priority to alternative energy technologies, and determine the enterprise electric energy substitution potential predictive value, this paper constructs the evaluation model of the influence factors of the electric energy substitution potential of industrial enterprises, and uses the combined weight method to determine the weight value of the evaluation factors to calculate the target value of the electric energy substitution potential. Taking the iron and steel industry as an example, this method is used to excavate the potential. The results show that the method can effectively tap the potential of the electric power industry

  3. A supply chain based assessment of water issues in the coal industry in China

    International Nuclear Information System (INIS)

    Pan Lingying; Liu Pei; Ma Linwei; Li Zheng

    2012-01-01

    Shortages of water and geographically uneven distribution of coal and water pose great challenges to sustainable development of the coal industry in China. In this paper, we illustrate the major challenges existing in the coal industry from a supply chain viewpoint, and propose technical and policy suggestions to address them. First, we provide quantitative information about water withdrawal, consumption, waste water recycling and treatment and pollution from coal mining, preparation, to final conversion for China's power generation and coal-to-chemical industry. We then analyze scenarios of water use in China's coal industry between 2020 and 2030. Our results show that water issues are becoming increasingly severe constraints for coal development in China, especially in North and West China, where water is more scarce and ecological systems are more vulnerable than other regions. Without implementing effective water-saving measures or regulations the water demand in the coal industry could dramatically increase and probably exceed China's water supply capacity in the near-term future, bringing substantial uncertainty to sustainable development of China's energy economy. We also illustrate that coal-fired power generation, with appropriate technical improvement and proper policy supports, has the greatest potential for water savings in the coal industry. Our conclusions also underscore the importance of expanding energy efficiency and renewable energy in China so as to limit the country's dependence on coal. - Highlights: ► We provide information of water supply and use in the coal industry in China. ► We analyze scenarios of water use in China's coal industry between 2020 and 2030. ► Water issues are becoming severe constrains for the coal industry in China. ► The water demand in the coal industry could exceed China's water supply capacity. ► Coal-fired power generation has great potential for water savings.

  4. An Industrial-Based Consortium to Develop Premium Carbon Products from Coal, Annual Progress Report, October 1, 2005 through September 30, 2006

    Energy Technology Data Exchange (ETDEWEB)

    Miller, Bruce G

    2006-09-29

    Since 1998, The Pennsylvania State University has been successfully managing the Consortium for Premium Carbon Products from Coal (CPCPC), which is a vehicle for industry-driven research on the promotion, development, and transfer of innovative technology on premium carbon produces from coal to the U.S. industry. The CPCPC is an initiative being led by Penn State, its co-charter member West Virginia University (WVU), and the U.S. Department of Energy's (DOE) National Energy Technology Laboratory (NETL), who also provides the base funding for the program, with Penn State responsible for consortium management. CPCPC began in 1998 under DOE Cooperative Agreement No. DE-FC26-98FT40350. This agreement ended November 2004 but the CPCPC activity has continued under the present cooperative agreement, No. DE-FC26-03NT41874, which started October 1, 2003. The objective of the second agreement is to continue the successful operation of the CPCPC. The CPCPC has enjoyed tremendous success with its organizational structure, that includes Penn State and WVU as charter members, numerous industrial affiliate members, and strategic university affiliate members together with NETL, forming a vibrant and creative team for innovative research in the area of transforming coal to carbon products. The key aspect of CPCPC is its industry-led council that selects proposals submitted by CPCPC members to ensure CPCPC target areas have strong industrial support. Base funding for the selected projects is provided by NETL with matching funds from industry. At the annual funding meeting held in October 2003, ten projects were selected for funding. Subcontracts were let from Penn State to the subcontractors on March 1, 2004. Nine of the ten 2004 projects were completed during the previous annual reporting period and their final reports were submitted with the previous annual report (i.e., 10/01/04-09/30/05). The final report for the remaining project, which was submitted during this reporting

  5. An Industrial-Based Consortium to Develop Premium Carbon Products from Coal, Annual Progress Report, October 1, 2004 through September 30, 2005

    Energy Technology Data Exchange (ETDEWEB)

    Miller, Bruce G

    2006-03-01

    Since 1998, The Pennsylvania State University (PSU) has been successfully operating the Consortium for Premium Carbon Products from Coal (CPCPC), which is a vehicle for industry-driven research on the promotion, development, and transfer of innovative technology on premium carbon produces from coal to the U.S. industry. The CPCPC is an initiative being led by PSU, its co-charter member West Virginia University (WVU), and the U.S. Department of Energy's (DOE) National Energy Technology Laboratory (NETL), who also provides the base funding for the program, with PSU responsible for consortium management. CPCPC began in 1998 under DOE Cooperative Agreement No. DE-FC26-98FT40350. This agreement ended November 2004 but the CPCPC activity has continued under the present cooperative agreement, No. DE-FC26-03NT41874, which started October 1, 2003. The objective of the second agreement is to continue the successful operation of the CPCPC. The CPCPC has enjoyed tremendous success with its organizational structure, that includes PSU and WVU as charter members, numerous industrial affiliate members, and strategic university affiliate members together with NETL, forming a vibrant and creative team for innovative research in the area of transforming coal to carbon products. The key aspect of CPCPC is its industry-led council that selects proposals submitted by CPCPC members to ensure CPCPC target areas have strong industrial support. A second contract was executed with DOE NETL starting in October 2003 to continue the activities of CPCPC. An annual funding meeting was held in October 2003 and the council selected ten projects for funding. Base funding for the projects is provided by NETL with matching funds from industry. Subcontracts were let from Penn State to the subcontractors on March 1, 2004. Nine of the ten projects have been completed and the final reports for these 2004 projects are attached. An annual funding meeting was held in November 2004 and the council

  6. <strong>Neuroeconomics and Human Resource Developmentstrong>/>

    DEFF Research Database (Denmark)

    Larsen, Torben

    2009-01-01

    threats and personal stress. So far, the evidence-based findings on human resource development (HRD) seem not to match these huge challenges. The aim of this study is to identify cost-effective means of mental training to recover sufficiently from the present bias to enable more sustainable decisions...... making as required to meet the global challenges in study as confirmed by an intercultural neuroeconomic comparative study between Asian and Western cultures. However, a cultural barrier in the Western cultural tradition against meditative introversion has to be overcome to improve the time horizon...... meditation, Harvard relaxation procedure, ACEM meditation and Autogenic training. IV. Broad health effects of regular medical meditation are evidenced by RCT and even reviews/meta-analysis in more medical meditation settings: Recovery from basal anxiety Stabilization of plasma cortisol Independence...

  7. Improved Taguchi method based contract capacity optimization for industrial consumer with self-owned generating units

    International Nuclear Information System (INIS)

    Yang, Hong-Tzer; Peng, Pai-Chun

    2012-01-01

    Highlights: ► We propose an improved Taguchi method to determine the optimal contract capacities with SOGUs. ► We solve the highly discrete and nonlinear optimization problem for the contract capacities with SOGUs. ► The proposed improved Taguchi method integrates PSO in Taguchi method. ► The customer using the proposed optimization approach may save up to 12.18% of power expenses. ► The improved Taguchi method can also be well applied to the other similar problems. - Abstract: Contract capacity setting for industrial consumer with self-owned generating units (SOGUs) is a highly discrete and nonlinear optimization problem considering expenditure on the electricity from the utility and operation costs of the SOGUs. This paper proposes an improved Taguchi method that combines existing Taguchi method and particle swarm optimization (PSO) algorithm to solve this problem. Taguchi method provides fast converging characteristics in searching the optimal solution through quality analysis in orthogonal matrices. The integrated PSO algorithm generates new solutions in the orthogonal matrices based on the searching experiences during the evolution process to further improve the quality of solution. To verify feasibility of the proposed method, the paper uses the real data obtained from a large optoelectronics factory in Taiwan. In comparison with the existing optimization methods, the proposed improved Taguchi method has superior performance as revealed in the numerical results in terms of the convergence process and the quality of solution obtained.

  8. Real-time monitoring of emissions from monoethanolamine-based industrial scale carbon capture facilities.

    Science.gov (United States)

    Zhu, Liang; Schade, Gunnar Wolfgang; Nielsen, Claus Jørgen

    2013-12-17

    We demonstrate the capabilities and properties of using Proton Transfer Reaction time-of-flight mass spectrometry (PTR-ToF-MS) to real-time monitor gaseous emissions from industrial scale amine-based carbon capture processes. The benchmark monoethanolamine (MEA) was used as an example of amines needing to be monitored from carbon capture facilities, and to describe how the measurements may be influenced by potentially interfering species in CO2 absorber stack discharges. On the basis of known or expected emission compositions, we investigated the PTR-ToF-MS MEA response as a function of sample flow humidity, ammonia, and CO2 abundances, and show that all can exhibit interferences, thus making accurate amine measurements difficult. This warrants a proper sample pretreatment, and we show an example using a dilution with bottled zero air of 1:20 to 1:10 to monitor stack gas concentrations at the CO2 Technology Center Mongstad (TCM), Norway. Observed emissions included many expected chemical species, dominantly ammonia and acetaldehyde, but also two new species previously not reported but emitted in significant quantities. With respect to concerns regarding amine emissions, we show that accurate amine quantifications in the presence of water vapor, ammonia, and CO2 become feasible after proper sample dilution, thus making PTR-ToF-MS a viable technique to monitor future carbon capture facility emissions, without conventional laborious sample pretreatment.

  9. Design of Solar PV Cell Based Inverter for Unbalanced and Distorted Industrial Loads

    Directory of Open Access Journals (Sweden)

    Naga Ananth D

    2015-04-01

    Full Text Available PV cell is getting importance in low and medium power generation due to easy installation, low maintenance and subsidies in price from respective nation. Most of the loads in distribution system are unbalanced and distorted, due to which there will be unbalanced voltage and current occur at load and may disturb its overall performance. Due to these loads voltage unbalance, distorted voltage and current and variable power factors in each phase can be observed. An efficient algorithm to mitigate unbalanced and distorted load and source voltage and current in solar photo voltaic (PV inverter for isolated load system was considered. This solar PV system can be applicable to remote located industrial loads like heating, welding and small arc furnace type distorted loads and also for unbalanced loads. The PV inverter is designed such that it will maintain nearly constant voltage magnitude and can mitigate harmonics in voltage and current near the load terminals. A MATLAB/ SIMULINK based solar PV inverter was simulated and results are compared with standard AC three phase grid connected system. The proposed shows that the inverter is having very less voltage and current harmonic content and can maintain nearly constant voltage profile for highly unbalanced system.

  10. CPS-Based Smart Warehouse for Industry 4.0: A Survey of the Underlying Technologies

    Directory of Open Access Journals (Sweden)

    Xiulong Liu

    2018-02-01

    Full Text Available This paper discusses how the state-of-the-art techniques in cyber-physical systems facilitate building smart warehouses to achieve the promising vision of industry 4.0. We focus on four significant issues when applying CPS techniques in smart warehouses. First, efficient CPS data collection: when limited communication bandwidth meets numerous CPS devices, we need to make more effort to study efficient wireless communication scheduling strategies. Second, accurate and robust localization: localization is the basis for many fundamental operations in smart warehouses, but still needs to be improved from various aspects like accuracy and robustness. Third, human activity recognition: human activity recognition can be applied in human–computer interaction for remote machine operations. Fourth, multi-robot collaboration: smart robots will take the place of humans to accomplish most tasks particularly in a harsh environment, and smart and fully-distributed robot collaborating algorithms should be investigated. Finally, we point out some challenging issues in the future CPS-based smart warehouse, which could open some new research directions.

  11. Beverages-Food Industry Cluster Development Based on Value Chain in Indonesia

    Directory of Open Access Journals (Sweden)

    Lasmono Tri Sunaryanto

    2014-06-01

    Full Text Available This study wants to develop the cluster-based food and beverage industry value chain that corresponds to the potential in the regions in Java Economic Corridor. Targeted research: a description of SME development strategies that have been implemented, composed, and can be applied to an SME cluster development strategy of food and beverage, as well as a proven implementation strategy of SME cluster development of food and beverage. To achieve these objectives, implemented descriptive methods, techniques of data collection through surveys, analysis desk, and the FGD. The data will be analyzed with descriptive statistics. Results of study on PT KML and 46 units of food and drink SMEs in Malang shows that the condition of the SME food-beverage cluster is: not formal, and still as the center. As for the condition of the existence of information technology: the majority of SMEs do not have the PC and only 11% who have it, of which only 23% have a PC that has an internet connection, as well as PC ownership is mostly just used for administration, with WORD and EXCEL programs, and only 4% (1 unit SMEs who use the internet marketing media.

  12. Mergers, acquisitions, divestitures, and applications for market-based rates in a deregulating electric utility industry

    International Nuclear Information System (INIS)

    Cox, A.J.

    1999-01-01

    In this article, the author reviews FERC's current procedures for undertaking competitive analysis. The current procedure for evaluating the competitive impact of transactions in the electric utility industry is described in Order 592, in particular Appendix A. These procedures effectively revised criteria that had been laid out in Commonwealth Edison and brought its merger policy in line with the EPAct and the provisions of Order 888. Order 592 was an attempt to provide more certainty and expedition in handling mergers. It established three criteria that had to be satisfied for a merger to be approved: Post-merger market power must be within acceptable thresholds or be satisfactorily mitigated, acceptable customer protections must be in place (to ensure that rates will not go up as a result of increased costs) and any adverse effect on regulation must be addressed. FERC states that its Order 592 Merger Policy Statement is based upon the Horizontal Merger Guidelines issued jointly by the Federal Trade Commission and the Antitrust Division Department of Justice (FTC/DOJ Merger Guidelines). While it borrows much of the language and basic concepts of the Merger Guidelines, FERC's procedures have been criticized as not following the methodology closely enough, leaving open the possibility of mistakes in market definition

  13. Construction of Microbial-based Biosensor to Measure BOD of Industrial Wastewaters

    Directory of Open Access Journals (Sweden)

    Behnam Mahdavi

    2014-04-01

    Full Text Available In this study a cell-based biosensor for measurement of BOD was designed and developed. Activated sludge collected from wastewater treatment plant of Shahinshahr was used as biological receptor and a Clark cell was used as transducer. According to the results obtained from the sensor calibration, a linear relationship between the current changes and glucose-glutamic acid (GAA standard concentrations up to 50 mg/L was observed. The BOD values of different industrial wastewaters, inlet and outlet of treatment plant of Ardineh Company (Isfahan, and also  inlet and outlet of domestic wastewater treatment plant of Shahinshahr, and outlet of treatment plant of Pegah Company (Isfahan were measured using this biosensor. Comparison of the results of this biosensor and the results of the standard BOD test (BOD5 showed that the mean percentage error measured by the sensor was +29.6%. The results concerning the stability of the designed biosensor showed a stability time of 3 days for the response of biosensor.

  14. Analysis on the Workspace of Six-degrees-of-freedom Industrial Robot Based on AutoCAD

    Directory of Open Access Journals (Sweden)

    Li Jin-quan

    2017-01-01

    Full Text Available This research discusses the workspace of the industrial robot with six degrees of freedom(6-DOF based on AutoCAD platform. Based on the analysis of the overall configuration of the robot, this research establishes the kinematic mathematical model of the industrial robot by using DH parameters, and then solves the workspace of the robot consequently. In the AutoCAD, Auto Lisp language program is adopted to simulate the two-dimensional(2D and three-dimensional(3D space of the robot. Software user interface is written by using the dialog box control language of Visual LISP. At last, the research analyzes the trend of the shape and direction of the workspace when the length and angle range of the robot are changed. This research lays the foundation for the design, control and planning of industrial robots.

  15. Modeling of the opportunities and effects of industry modernization based on nanotehnologies

    Directory of Open Access Journals (Sweden)

    Viktoria Viktorovna Akberdina

    2011-06-01

    Full Text Available The questions related to the evaluation of industrial modernization possibilities of nanotechnology are reviewed in this paper, restrictive barriers are marked, the author's typology of levels of nanotechnological developments' interaction provided. The author shows models which formalize the diffusion of nanotechnology - a model of technological dynamics and a model of nanotechnologшсфд modernization. A large part of the paper is devoted to methodological approaches to the assessment of synergistic effects of nanotechnology, such as technological roadmaps, the analysis of external effects, optional theory and dynamic analysis of market structure. A new typology of interaction levels between nanotechnology and industrial operating systems, taking into account the direction and depth of their interaction, is suggested. Three types of functions of nanotechnological developments are highlighted: addition, substitution and field construction. A matrix of levels and types of interaction of nanotechnology to their functions is constructed and a model of interaction between nanotechnology and traditional technologies as well. The bases for evaluating the synergetic effect of nanotechnology are technological roadmaps, which possible scenarios are reflected in the modified inter-sectoral balance. Using roadmaps for evaluating the effects of nanotechnology will not only review the likely scenarios and their potential profitability, but also help to choose the optimal path in terms of resource cost and socio-economic, fiscal and environmental performance of nanotechnologies. Synergetic effects are conditioned by additional benefits or costs of socio-economic system due to changes in its structure, so the effects can be evaluated through positive or negative externalities. The synergistic effect of nanotechnology can be defined as the non-vicarious quantitative market effect for subjects who are not participating in the creation or consumption of

  16. Fighting childhood obesity through performance-based regulation of the food industry.

    Science.gov (United States)

    Sugarman, Stephen D; Sandman, Nirit

    2007-04-01

    That childhood obesity is an alarming public health problem is clear and widely appreciated. What is altogether unclear is what our society should do about it. Some people think the solution lies in using tort law to sue McDonald's, Coca-Cola, and other corporations. We reject that notion. Others believe that government should order specific changes in the behavior of food companies and school officials--and yet, there is little reason for confidence that these "command and control" strategies will make a difference. Instead, we propose "performance-based regulation" of the food industry. This is analogous to the approach our country is now taking with respect to elementary and secondary education (most prominently in the No Child Left Behind legislation). Schools are not told how to achieve better educational results, but better outcomes are demanded of them. This strategy has also been used in the environmental context to reduce harmful power plant emissions, and it has been briefly proposed as a way of regulating cigarette companies. In this Article, we propose that large firms selling food and drink that is high in sugar or fat will be assigned the responsibility of reducing obesity rates in a specific pool of children. A firm's share of the overall responsibility will be based on its share of the "bad' food market, and the children assigned to it will be organized by geographically proximate schools where obesity rates are currently above the plan's nationwide target rate of 8 percent (the actual childhood obesity rate today is approximately 16 percent). Firms that fail to achieve their goals will be subject to serious financial penalties.

  17. Analysis of financing efficiency of big data industry in Guizhou province based on DEA models

    Science.gov (United States)

    Li, Chenggang; Pan, Kang; Luo, Cong

    2018-03-01

    Taking 20 listed enterprises of big data industry in Guizhou province as samples, this paper uses DEA method to evaluate the financing efficiency of big data industry in Guizhou province. The results show that the pure technical efficiency of big data enterprise in Guizhou province is high, whose mean value reaches to 0.925. The mean value of scale efficiency reaches to 0.749. The average value of comprehensive efficiency reaches 0.693. The comprehensive financing efficiency is low. According to the results of the study, this paper puts forward some policy and recommendations to improve the financing efficiency of the big data industry in Guizhou.

  18. Wastewater reuse in a cascade based system of a petrochemical industry for the replacement of losses in cooling towers.

    Science.gov (United States)

    Hansen, Everton; Rodrigues, Marco Antônio Siqueira; Aquim, Patrice Monteiro de

    2016-10-01

    This article discusses the mapping of opportunities for the water reuse in a cascade based system in a petrochemical industry in southern Brazil. This industrial sector has a large demand for water for its operation. In the studied industry, for example, approximately 24 million cubic meters of water were collected directly from the source in 2014. The objective of this study was to evaluate the implementation of the reuse of water in cascade in a petrochemical industry, focusing on the reuse of aqueous streams to replenish losses in the cooling towers. This is an industrial scale case study with real data collected during the years 2014 and 2015. Water reuse was performed using heuristic approach based on the exploitation of knowledge acquired during the search process. The methodology of work consisted of the construction of a process map identifying the stages of production and water consumption, as well as the characterization of the aqueous streams involved in the process. For the application of the industrial water reuse as cooling water, mass balances were carried out considering the maximum concentration levels of turbidity, pH, conductivity, alkalinity, calcium hardness, chlorides, sulfates, silica, chemical oxygen demand and suspended solids as parameters turbidity, pH, conductivity, alkalinity, calcium hardness, chlorides, sulfates, silica, chemical oxygen demand and suspended solids as parameters. The adopted guideline was the fulfillment of the water quality criteria for each application in the industrial process. The study showed the feasibility for the reuse of internal streams as makeup water in cooling towers, and the implementation of the reuse presented in this paper totaled savings of 385,440 m(3)/year of water, which means a sufficient volume to supply 6350 inhabitants for a period of one year, considering the average water consumption per capita in Brazil; in addition to 201,480 m(3)/year of wastewater that would no longer be generated

  19. Semiconducting polymer-based nanoparticles with strong absorbance in NIR-II window for in vivo photothermal therapy and photoacoustic imaging.

    Science.gov (United States)

    Cao, Ziyang; Feng, Liangzhu; Zhang, Guobing; Wang, Junxia; Shen, Song; Li, Dongdong; Yang, Xianzhu

    2018-02-01

    Near-infrared (NIR) light-induced photothermal therapy (PTT) has attracted much interest in recent years. In the NIR region, tissue penetration ability of the second biological near-infrared window (1000-1350 nm) is recognized to be stronger than that of the first window (650-950 nm). However, NIR light absorbers in the second NIR region (NIR-II) have been scant even though various NIR light absorbers in the first NIR region (NIR-I) have been widely explored. In this work, a thieno-isoindigo derivative-based semiconducting polymer, PBTPBF-BT, were formulated into PEGylated nanoparticles. The obtained nanoparticle NP PBTPBF-BT exhibited strong absorption in NIR-II region, inherent high photothermal conversion efficacy, and excellent photostability. The in vitro and in vivo PTT study employing 1064 nm laser in NIR-II window revealed that NP PBTPBF-BT could efficiently ablate tumor cell at a power density of 0.42 W/cm 2 (the skin tolerance threshold value). Moreover, NP PBTPBF-BT with excellent photostability exhibited enhanced photoacoustic (PA) imaging of tumor in living mice, suggesting the great probability of using NP PBTPBF-BT for in vivo PA imaging-guided PTT in the NIR-II window. Copyright © 2017 Elsevier Ltd. All rights reserved.

  20. 76 FR 53683 - Draft Guidance for Industry on Oversight of Clinical Investigations: A Risk-Based Approach to...

    Science.gov (United States)

    2011-08-29

    ... 200N, Rockville, MD 20852-1448; or the Office of Communication, Education and Radiation Programs... describes a modern, risk-based approach to monitoring that focuses on critical study parameters and relies... appropriate, and other forms of information technology. Title: Draft Guidance for Industry: Oversight of...