Automation of energy demand forecasting

Science.gov (United States)

Siddique, Sanzad

Automation of energy demand forecasting saves time and effort by searching automatically for an appropriate model in a candidate model space without manual intervention. This thesis introduces a search-based approach that improves the performance of the model searching process for econometrics models. Further improvements in the accuracy of the energy demand forecasting are achieved by integrating nonlinear transformations within the models. This thesis introduces machine learning techniques that are capable of modeling such nonlinearity. Algorithms for learning domain knowledge from time series data using the machine learning methods are also presented. The novel search based approach and the machine learning models are tested with synthetic data as well as with natural gas and electricity demand signals. Experimental results show that the model searching technique is capable of finding an appropriate forecasting model. Further experimental results demonstrate an improved forecasting accuracy achieved by using the novel machine learning techniques introduced in this thesis. This thesis presents an analysis of how the machine learning techniques learn domain knowledge. The learned domain knowledge is used to improve the forecast accuracy.

Evaluation of automated residential demand response with flat and dynamic pricing

International Nuclear Information System (INIS)

Swisher, Joel; Wang, Kitty; Stewart, Stewart

2005-01-01

This paper reviews the performance of two recent automated load management programs for residential customers of electric utilities in two American states. Both pilot programs have been run with about 200 participant houses each, and both programs have control populations of similar customers without the technology or program treatment. In both cases, the technology used in the pilot is GoodWatts, an advanced, two-way, real-time, comprehensive home energy management system. The purpose of each pilot is to determine the household kW reduction in coincident peak electric load from the energy management technology. Nevada Power has conducted a pilot program for Air-Conditioning Load Management (ACLM), in which customers are sent an electronic curtailment signal for three-hour intervals during times of maximum peak demand. The participating customers receive an annual incentive payment, but otherwise they are on a conventional utility tariff. In California, three major utilities are jointly conducting a pilot demonstration of an Automated Demand Response System (ADRS). Customers are on a time-of-use (ToU) tariff, which includes a critical peak pricing (CPP) element. During times of maximum peak demand, customers are sent an electronic price signal that is three times higher than the normal on-peak price. Houses with the automated GoodWatts technology reduced their demand in both the ACLM and the ADRS programs by about 50% consistently across the summer curtailment or super peak events, relative to homes without the technology or any load management program or tariff in place. The absolute savings were greater in the ACLM program, due to the higher baseline air conditioning loads in the hotter Las Vegas climate. The results suggest that either automated technology or dynamic pricing can deliver significant demand response in low-consumption houses. However, for high-consumption houses, automated technology can reduce load by a greater absolute kWh difference. Targeting

Automated Demand Response Technology Demonstration Project for Small and Medium Commercial Buildings

Energy Technology Data Exchange (ETDEWEB)

Page, Janie; Kiliccote, Sila; Dudley, Junqiao Han; Piette, Mary Ann; Chiu, Albert K.; Kellow, Bashar; Koch, Ed; Lipkin, Paul

2011-07-01

Small and medium commercial customers in California make up about 20-25% of electric peak load in California. With the roll out of smart meters to this customer group, which enable granular measurement of electricity consumption, the investor-owned utilities will offer dynamic prices as default tariffs by the end of 2011. Pacific Gas and Electric Company, which successfully deployed Automated Demand Response (AutoDR) Programs to its large commercial and industrial customers, started investigating the same infrastructures application to the small and medium commercial customers. This project aims to identify available technologies suitable for automating demand response for small-medium commercial buildings; to validate the extent to which that technology does what it claims to be able to do; and determine the extent to which customers find the technology useful for DR purpose. Ten sites, enabled by eight vendors, participated in at least four test AutoDR events per site in the summer of 2010. The results showed that while existing technology can reliably receive OpenADR signals and translate them into pre-programmed response strategies, it is likely that better levels of load sheds could be obtained than what is reported here if better understanding of the building systems were developed and the DR response strategies had been carefully designed and optimized for each site.

Development and evaluation of fully automated demand response in large facilities

Energy Technology Data Exchange (ETDEWEB)

Piette, Mary Ann; Sezgen, Osman; Watson, David S.; Motegi, Naoya; Shockman, Christine; ten Hope, Laurie

2004-03-30

This report describes the results of a research project to develop and evaluate the performance of new Automated Demand Response (Auto-DR) hardware and software technology in large facilities. Demand Response (DR) is a set of activities to reduce or shift electricity use to improve electric grid reliability, manage electricity costs, and ensure that customers receive signals that encourage load reduction during times when the electric grid is near its capacity. The two main drivers for widespread demand responsiveness are the prevention of future electricity crises and the reduction of electricity prices. Additional goals for price responsiveness include equity through cost of service pricing, and customer control of electricity usage and bills. The technology developed and evaluated in this report could be used to support numerous forms of DR programs and tariffs. For the purpose of this report, we have defined three levels of Demand Response automation. Manual Demand Response involves manually turning off lights or equipment; this can be a labor-intensive approach. Semi-Automated Response involves the use of building energy management control systems for load shedding, where a preprogrammed load shedding strategy is initiated by facilities staff. Fully-Automated Demand Response is initiated at a building or facility through receipt of an external communications signal--facility staff set up a pre-programmed load shedding strategy which is automatically initiated by the system without the need for human intervention. We have defined this approach to be Auto-DR. An important concept in Auto-DR is that a facility manager is able to ''opt out'' or ''override'' an individual DR event if it occurs at a time when the reduction in end-use services is not desirable. This project sought to improve the feasibility and nature of Auto-DR strategies in large facilities. The research focused on technology development, testing

Didactical And Ethics Demands For Automated Pedagogical Diagnostics.

Directory of Open Access Journals (Sweden)

O. Kolgatin

2009-06-01

Full Text Available Didactical demands for pedagogical diagnostics and its realisation specific characters under conditions of active using of ICT in instruction process of universities are analysed. The ethics questions of pedagogical diagnostics are considered. Ethic aspects, connected with using of the automated pedagogical diagnostic systems, are underlined.

Open Location Management in Automated Warehousing Systems

OpenAIRE

Yu, Yugang; Koster, René

2009-01-01

textabstractA warehouse needs to have sufficient open locations to be able to store incoming shipments of various sizes. In combination with ongoing load retrievals open locations gradually spread over the storage area. Unfavorable positions of open locations negatively impact the average load retrieval times. This paper presents a new method to manage these open locations such that the average system travel time for processing a block of storage and retrieval jobs in an automated warehousing...

Smart Buildings and Demand Response

Science.gov (United States)

Kiliccote, Sila; Piette, Mary Ann; Ghatikar, Girish

2011-11-01

Advances in communications and control technology, the strengthening of the Internet, and the growing appreciation of the urgency to reduce demand side energy use are motivating the development of improvements in both energy efficiency and demand response (DR) systems in buildings. This paper provides a framework linking continuous energy management and continuous communications for automated demand response (Auto-DR) in various times scales. We provide a set of concepts for monitoring and controls linked to standards and procedures such as Open Automation Demand Response Communication Standards (OpenADR). Basic building energy science and control issues in this approach begin with key building components, systems, end-uses and whole building energy performance metrics. The paper presents a framework about when energy is used, levels of services by energy using systems, granularity of control, and speed of telemetry. DR, when defined as a discrete event, requires a different set of building service levels than daily operations. We provide examples of lessons from DR case studies and links to energy efficiency.

Semi-automated categorization of open-ended questions

Directory of Open Access Journals (Sweden)

Matthias Schonlau

2016-08-01

Full Text Available Text data from open-ended questions in surveys are difficult to analyze and are frequently ignored. Yet open-ended questions are important because they do not constrain respondents’ answer choices. Where open-ended questions are necessary, sometimes multiple human coders hand-code answers into one of several categories. At the same time, computer scientists have made impressive advances in text mining that may allow automation of such coding. Automated algorithms do not achieve an overall accuracy high enough to entirely replace humans. We categorize open-ended questions soliciting narrative responses using text mining for easy-to-categorize answers and humans for the remainder using expected accuracies to guide the choice of the threshold delineating between “easy” and “hard”. Employing multinomial boosting avoids the common practice of converting machine learning “confidence scores” into pseudo-probabilities. This approach is illustrated with examples from open-ended questions related to respondents’ advice to a patient in a hypothetical dilemma, a follow-up probe related to respondents’ perception of disclosure/privacy risk, and from a question on reasons for quitting smoking from a follow-up survey from the Ontario Smoker’s Helpline. Targeting 80% combined accuracy, we found that 54%-80% of the data could be categorized automatically in research surveys.

Open-Source Automated Mapping Four-Point Probe

Directory of Open Access Journals (Sweden)

Handy Chandra

2017-01-01

Full Text Available Scientists have begun using self-replicating rapid prototyper (RepRap 3-D printers to manufacture open source digital designs of scientific equipment. This approach is refined here to develop a novel instrument capable of performing automated large-area four-point probe measurements. The designs for conversion of a RepRap 3-D printer to a 2-D open source four-point probe (OS4PP measurement device are detailed for the mechanical and electrical systems. Free and open source software and firmware are developed to operate the tool. The OS4PP was validated against a wide range of discrete resistors and indium tin oxide (ITO samples of different thicknesses both pre- and post-annealing. The OS4PP was then compared to two commercial proprietary systems. Results of resistors from 10 to 1 MΩ show errors of less than 1% for the OS4PP. The 3-D mapping of sheet resistance of ITO samples successfully demonstrated the automated capability to measure non-uniformities in large-area samples. The results indicate that all measured values are within the same order of magnitude when compared to two proprietary measurement systems. In conclusion, the OS4PP system, which costs less than 70% of manual proprietary systems, is comparable electrically while offering automated 100 micron positional accuracy for measuring sheet resistance over larger areas.

Open-Source Automated Mapping Four-Point Probe.

Science.gov (United States)

Chandra, Handy; Allen, Spencer W; Oberloier, Shane W; Bihari, Nupur; Gwamuri, Jephias; Pearce, Joshua M

2017-01-26

Scientists have begun using self-replicating rapid prototyper (RepRap) 3-D printers to manufacture open source digital designs of scientific equipment. This approach is refined here to develop a novel instrument capable of performing automated large-area four-point probe measurements. The designs for conversion of a RepRap 3-D printer to a 2-D open source four-point probe (OS4PP) measurement device are detailed for the mechanical and electrical systems. Free and open source software and firmware are developed to operate the tool. The OS4PP was validated against a wide range of discrete resistors and indium tin oxide (ITO) samples of different thicknesses both pre- and post-annealing. The OS4PP was then compared to two commercial proprietary systems. Results of resistors from 10 to 1 MΩ show errors of less than 1% for the OS4PP. The 3-D mapping of sheet resistance of ITO samples successfully demonstrated the automated capability to measure non-uniformities in large-area samples. The results indicate that all measured values are within the same order of magnitude when compared to two proprietary measurement systems. In conclusion, the OS4PP system, which costs less than 70% of manual proprietary systems, is comparable electrically while offering automated 100 micron positional accuracy for measuring sheet resistance over larger areas.

Enabling Automated Dynamic Demand Response: From Theory to Practice

Energy Technology Data Exchange (ETDEWEB)

Frincu, Marc; Chelmis, Charalampos; Aman, Saima; Saeed, Rizwan; Zois, Vasileios; Prasanna, Viktor

2015-07-14

Demand response (DR) is a technique used in smart grids to shape customer load during peak hours. Automated DR offers utilities a fine grained control and a high degree of confidence in the outcome. However the impact on the customer's comfort means this technique is more suited for industrial and commercial settings than for residential homes. In this paper we propose a system for achieving automated controlled DR in a heterogeneous environment. We present some of the main issues arising in building such a system, including privacy, customer satisfiability, reliability, and fast decision turnaround, with emphasis on the solutions we proposed. Based on the lessons we learned from empirical results we describe an integrated automated system for controlled DR on the USC microgrid. Results show that while on a per building per event basis the accuracy of our prediction and customer selection techniques varies, it performs well on average when considering several events and buildings.

An automation of physics research on base of open standards

International Nuclear Information System (INIS)

Smirnov, V.A.

1997-01-01

A wide range of problems is considered concerning an automation of Laboratory of High Energies, JINR set-ups oriented to carry out the experimental researches in high energy and relativistic nuclear physics. Electronics of discussed automation systems is performed in open standards. Main peculiarities in the creation process of automation tools for experimental set-ups, stands and accelerators are shown. Some possibilities to build some accelerator control subsystems on base of industrial automation methods and techniques are discussed

Automation on an Open-Access Platform of Alzheimer's Disease Biomarker Immunoassays.

Science.gov (United States)

Gille, Benjamin; Dedeene, Lieselot; Stoops, Erik; Demeyer, Leentje; Francois, Cindy; Lefever, Stefanie; De Schaepdryver, Maxim; Brix, Britta; Vandenberghe, Rik; Tournoy, Jos; Vanderstichele, Hugo; Poesen, Koen

2018-04-01

The lack of (inter-)laboratory standardization has hampered the application of universal cutoff values for Alzheimer's disease (AD) cerebrospinal fluid (CSF) biomarkers and their transfer to general clinical practice. The automation of the AD biomarker immunoassays is suggested to generate more robust results than using manual testing. Open-access platforms will facilitate the integration of automation for novel biomarkers, allowing the introduction of the protein profiling concept. A feasibility study was performed on an automated open-access platform of the commercial immunoassays for the 42-amino-acid isoform of amyloid-β (Aβ 1-42 ), Aβ 1-40 , and total tau in CSF. Automated Aβ 1-42 , Aβ 1-40 , and tau immunoassays were performed within predefined acceptance criteria for bias and imprecision. Similar accuracy was obtained for ready-to-use calibrators as for reconstituted lyophilized kit calibrators. When compared with the addition of a standard curve in each test run, the use of a master calibrator curve, determined before and applied to each batch analysis as the standard curve, yielded an acceptable overall bias of -2.6% and -0.9% for Aβ 1-42 and Aβ 1-40 , respectively, with an imprecision profile of 6.2% and 8.4%, respectively. Our findings show that transfer of commercial manual immunoassays to fully automated open-access platforms is feasible, as it performs according to universal acceptance criteria.

OpenComet: An automated tool for comet assay image analysis

Directory of Open Access Journals (Sweden)

Benjamin M. Gyori

2014-01-01

Full Text Available Reactive species such as free radicals are constantly generated in vivo and DNA is the most important target of oxidative stress. Oxidative DNA damage is used as a predictive biomarker to monitor the risk of development of many diseases. The comet assay is widely used for measuring oxidative DNA damage at a single cell level. The analysis of comet assay output images, however, poses considerable challenges. Commercial software is costly and restrictive, while free software generally requires laborious manual tagging of cells. This paper presents OpenComet, an open-source software tool providing automated analysis of comet assay images. It uses a novel and robust method for finding comets based on geometric shape attributes and segmenting the comet heads through image intensity profile analysis. Due to automation, OpenComet is more accurate, less prone to human bias, and faster than manual analysis. A live analysis functionality also allows users to analyze images captured directly from a microscope. We have validated OpenComet on both alkaline and neutral comet assay images as well as sample images from existing software packages. Our results show that OpenComet achieves high accuracy with significantly reduced analysis time.

Openness, Technological Change and Labor Demand in Pre-Crisis Indonesia.

OpenAIRE

Suryahadi, A.; Chen, P.; Tyers, R.

1999-01-01

This paper examines the impact of export orientation, import competition, foreign ownership, and the rate of capital accumulation on the relative demand for skilled and unskilled labor in pre-crisis Indonesia. Estimates from an interrelated factor demand analysis indicate that openness and foreign ownership, by themselves, acted to raise the relative demand for unskilled workers in the pre-crisis period, while the newness of capital was associated with increased relative demand for skilled wo...

Automated mass correction and data interpretation for protein open-access liquid chromatography-mass spectrometry.

Science.gov (United States)

Wagner, Craig D; Hall, John T; White, Wendy L; Miller, Luke A D; Williams, Jon D

2007-02-01

Characterization of recombinant protein purification fractions and final products by liquid chromatography-mass spectrometry (LC/MS) are requested more frequently each year. A protein open-access (OA) LC/MS system was developed in our laboratory to meet this demand. This paper compares the system that we originally implemented in our facilities in 2003 to the one now in use, and discusses, in more detail, recent enhancements that have improved its robustness, reliability, and data reporting capabilities. The system utilizes instruments equipped with reversed-phase chromatography and an orthogonal accelerated time-of-flight mass spectrometer fitted with an electrospray source. Sample analysis requests are accomplished using a simple form on a web-enabled laboratory information management system (LIMS). This distributed form is accessible from any intranet-connected company desktop computer. Automated data acquisition and processing are performed using a combination of in-house (OA-Self Service, OA-Monitor, and OA-Analysis Engine) and vendor-supplied programs (AutoLynx, and OpenLynx) located on acquisition computers and off-line processing workstations. Analysis results are then reported via the same web-based LIMS. Also presented are solutions to problems not addressed on commercially available, small-molecule OA-LC/MS systems. These include automated transforming of mass-to-charge (m/z) spectra to mass spectra and automated data interpretation that considers minor variants to the protein sequence-such as common post-translational modifications (PTMs). Currently, our protein OA-LC/MS platform runs on five LC/MS instruments located in three separate GlaxoSmithKline R&D sites in the US and UK. To date, more than 8000 protein OA-LC/MS samples have been analyzed. With these user friendly and highly automated OA systems in place, mass spectrometry plays a key role in assessing the quality of recombinant proteins, either produced at our facilities or bought from external

Open-Source Assisted Laboratory Automation through Graphical User Interfaces and 3D Printers: Application to Equipment Hyphenation for Higher-Order Data Generation.

Science.gov (United States)

Siano, Gabriel G; Montemurro, Milagros; Alcaráz, Mirta R; Goicoechea, Héctor C

2017-10-17

Higher-order data generation implies some automation challenges, which are mainly related to the hidden programming languages and electronic details of the equipment. When techniques and/or equipment hyphenation are the key to obtaining higher-order data, the required simultaneous control of them demands funds for new hardware, software, and licenses, in addition to very skilled operators. In this work, we present Design of Inputs-Outputs with Sikuli (DIOS), a free and open-source code program that provides a general framework for the design of automated experimental procedures without prior knowledge of programming or electronics. Basically, instruments and devices are considered as nodes in a network, and every node is associated both with physical and virtual inputs and outputs. Virtual components, such as graphical user interfaces (GUIs) of equipment, are handled by means of image recognition tools provided by Sikuli scripting language, while handling of their physical counterparts is achieved using an adapted open-source three-dimensional (3D) printer. Two previously reported experiments of our research group, related to fluorescence matrices derived from kinetics and high-performance liquid chromatography, were adapted to be carried out in a more automated fashion. Satisfactory results, in terms of analytical performance, were obtained. Similarly, advantages derived from open-source tools assistance could be appreciated, mainly in terms of lesser intervention of operators and cost savings.

The ORT Open Tech Robotics and Automation Literacy Course.

Science.gov (United States)

Sharon, Dan; And Others

1987-01-01

Presents an overview of a course on robotics and automation developed by the Organization for Rehabilitation through Training (ORT) to be offered through an open learning environment in the United Kingdom. Highlights include hardware and software requirements, an educational model, design principles, and future developments. (LRW)

An Automation System for Optimizing a Supply Chain Network Design under the Influence of Demand Uncertainty

OpenAIRE

Polany, Rany

2012-01-01

This research develops and applies an integrated hierarchical framework for modeling a multi-echelon supply chain network design, under the influence of demand uncertainty. The framework is a layered integration of two levels: macro, high-level scenario planning combined with micro, low-level Monte Carlo simulation of uncertainties in demand. To facilitate rapid simulation of the effects of demand uncertainty, the integrated framework was implemented as a dashboard automation system using Mic...

Costs to Automate Demand Response - Taxonomy and Results from Field Studies and Programs

Energy Technology Data Exchange (ETDEWEB)

Piette, Mary A. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Schetrit, Oren [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Kiliccote, Sila [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Cheung, Iris [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Li, Becky Z [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

2017-07-31

During the past decade, the technology to automate demand response (DR) in buildings and industrial facilities has advanced significantly. Automation allows rapid, repeatable, reliable operation. This study focuses on costs for DR automation in commercial buildings with some discussion on residential buildings and industrial facilities. DR automation technology relies on numerous components, including communication systems, hardware and software gateways, standards-based messaging protocols, controls and integration platforms, and measurement and telemetry systems. This report compares cost data from several DR automation programs and pilot projects, evaluates trends in the cost per unit of DR and kilowatts (kW) available from automated systems, and applies a standard naming convention and classification or taxonomy for system elements. Median costs for the 56 installed automated DR systems studied here are about $200/kW. The deviation around this median is large with costs in some cases being an order of magnitude great or less than the median. This wide range is a result of variations in system age, size of load reduction, sophistication, and type of equipment included in cost analysis. The costs to automate fast DR systems for ancillary services are not fully analyzed in this report because additional research is needed to determine the total cost to install, operate, and maintain these systems. However, recent research suggests that they could be developed at costs similar to those of existing hot-summer DR automation systems. This report considers installation and configuration costs and does include the costs of owning and operating DR automation systems. Future analysis of the latter costs should include the costs to the building or facility manager costs as well as utility or third party program manager cost.

Implementing New-age Authentication Techniques using OpenID for Security Automation

OpenAIRE

Dharmendra Choukse; Umesh Kumar Singh; Deepak Sukheja; Rekha Shahapurkar

2010-01-01

Security of any software can be enhanced manifolds if multiple factors for authorization and authentication are used .The main aim of this work was to design and implement an Academy Automation Software for IPS Academy which uses OpenID and Windows CardSpace as Authentication Techniques in addition to Role Based Authentication (RBA) System to ensure that only authentic users can access the predefined roles as per their Authorization level. The Automation covers different computing hardware an...

An open-source automated continuous condition-based maintenance platform for commercial buildings

Energy Technology Data Exchange (ETDEWEB)

Katipamula, Srinivas; Gowri, Krishnan; Hernandez, George

2016-09-09

This paper describes one such reference process that can be deployed to provide continuous automated conditioned-based maintenance management for buildings that have BIM, a building automation system (BAS) and a computerized maintenance management software (CMMS) systems. The process can be deployed using an open source transactional network platform, VOLTTRON™, designed for distributed sensing and controls and supports both energy efficiency and grid services.

Cholgate - a randomized controlled trial comparing the effect of automated and on-demand decision support on the management of cardiovascular disease factors in primary care

NARCIS (Netherlands)

J.T. van Wyk (Jacobus); M.A.M. van Wijk (Marc); P.W. Moorman (Peter); M. Mosseveld (Mees); J. van der Lei (Johan)

2003-01-01

textabstractAutomated and on-demand decision support systems integrated into an electronic medical record have proven to be an effective implementation strategy for guidelines. Cholgate is a randomized controlled trial comparing the effect of automated and on-demand decision

Software for automated tracking of open items at NRC

International Nuclear Information System (INIS)

DeWispelare, A.R.; Mackin, P.C.; Johnson, R.L.

1995-01-01

The Open Item Tracking System (OITS) was developed in response to the Nuclear Regulatory Commission (NRC) need for a reliable, easy to use automated database system, to track all open (awaiting resolution) items related to regulatory, institutional, and technical uncertainties for the Department of Energy's (DOE's) high-level waste (HLW) disposal program. The OITS system was integrated with the Regulatory Program Database (RPD) Version 1.1, resulting in the RPD/OITS Version 2.0 system. RPD/OITS is a network bases system with client server architecture and a graphical user interface. This paper outlines the system and results of its implementation

Manual or automated measuring of antipsychotics' chemical oxygen demand.

Science.gov (United States)

Pereira, Sarah A P; Costa, Susana P F; Cunha, Edite; Passos, Marieta L C; Araújo, André R S T; Saraiva, M Lúcia M F S

2018-05-15

Antipsychotic (AP) drugs are becoming accumulated in terrestrial and aqueous resources due to their actual consumption. Thus, the search of methods for assessing the contamination load of these drugs is mandatory. The COD is a key parameter used for monitoring water quality upon the assessment of the effect of polluting agents on the oxygen level. Thus, the present work aims to assess the chemical oxygen demand (COD) levels of several typical and atypical antipsychotic drugs in order to obtain structure-activity relationships. It was implemented the titrimetric method with potassium dichromate as oxidant and a digestion step of 2h, followed by the measurement of remained unreduced dichromate by titration. After that, an automated sequential injection analysis (SIA) method was, also, used aiming to overcome some drawbacks of the titrimetric method. The results obtained showed a relationship between the chemical structures of antipsychotic drugs and their COD values, where the presence of aromatic rings and oxidable groups give higher COD values. It was obtained a good compliance between the results of the reference batch procedure and the SIA system, and the APs were clustered in two groups, with the values ratio between the methodologies, of 2 or 4, in the case of lower or higher COD values, respectively. The SIA methodology is capable of operating as a screening method, in any stage of a synthetic process, being also more environmentally friendly, and cost-effective. Besides, the studies presented open promising perspectives for the improvement of the effectiveness of pharmaceutical removal from the waste effluents, by assessing COD values. Copyright © 2018 Elsevier Inc. All rights reserved.

E-GRANTHALAYA: LIBRARY INFORMATION SCIENCE OPEN SOURCE AUTOMATION SOFTWARE: AN OVERVIEW

OpenAIRE

Umaiyorubagam, R.; JohnAnish, R; Jeyapragash, B

2015-01-01

The paper describes that Free Library software’s availability on-line. The open source software is available on three categories.They are library automation software, Digital Library software and integrated library packages. The paper discusses these aspect in detail.

Automated Dynamic Demand Response Implementation on a Micro-grid

Energy Technology Data Exchange (ETDEWEB)

Kuppannagari, Sanmukh R.; Kannan, Rajgopal; Chelmis, Charalampos; Prasanna, Viktor K.

2016-11-16

In this paper, we describe a system for real-time automated Dynamic and Sustainable Demand Response with sparse data consumption prediction implemented on the University of Southern California campus microgrid. Supply side approaches to resolving energy supply-load imbalance do not work at high levels of renewable energy penetration. Dynamic Demand Response (D²R) is a widely used demand-side technique to dynamically adjust electricity consumption during peak load periods. Our D²R system consists of accurate machine learning based energy consumption forecasting models that work with sparse data coupled with fast and sustainable load curtailment optimization algorithms that provide the ability to dynamically adapt to changing supply-load imbalances in near real-time. Our Sustainable DR (SDR) algorithms attempt to distribute customer curtailment evenly across sub-intervals during a DR event and avoid expensive demand peaks during a few sub-intervals. It also ensures that each customer is penalized fairly in order to achieve the targeted curtailment. We develop near linear-time constant-factor approximation algorithms along with Polynomial Time Approximation Schemes (PTAS) for SDR curtailment that minimizes the curtailment error defined as the difference between the target and achieved curtailment values. Our SDR curtailment problem is formulated as an Integer Linear Program that optimally matches customers to curtailment strategies during a DR event while also explicitly accounting for customer strategy switching overhead as a constraint. We demonstrate the results of our D²R system using real data from experiments performed on the USC smartgrid and show that 1) our prediction algorithms can very accurately predict energy consumption even with noisy or missing data and 2) our curtailment algorithms deliver DR with extremely low curtailment errors in the 0.01-0.05 kWh range.

PLACE: an open-source python package for laboratory automation, control, and experimentation.

Science.gov (United States)

Johnson, Jami L; Tom Wörden, Henrik; van Wijk, Kasper

2015-02-01

In modern laboratories, software can drive the full experimental process from data acquisition to storage, processing, and analysis. The automation of laboratory data acquisition is an important consideration for every laboratory. When implementing a laboratory automation scheme, important parameters include its reliability, time to implement, adaptability, and compatibility with software used at other stages of experimentation. In this article, we present an open-source, flexible, and extensible Python package for Laboratory Automation, Control, and Experimentation (PLACE). The package uses modular organization and clear design principles; therefore, it can be easily customized or expanded to meet the needs of diverse laboratories. We discuss the organization of PLACE, data-handling considerations, and then present an example using PLACE for laser-ultrasound experiments. Finally, we demonstrate the seamless transition to post-processing and analysis with Python through the development of an analysis module for data produced by PLACE automation. © 2014 Society for Laboratory Automation and Screening.

Will the future of knowledge work automation transform personalized medicine?

OpenAIRE

Gauri Naik; Sanika S. Bhide

2014-01-01

Today, we live in a world of ?information overload? which demands high level of knowledge-based work. However, advances in computer hardware and software have opened possibilities to automate ?routine cognitive tasks? for knowledge processing. Engineering intelligent software systems that can process large data sets using unstructured commands and subtle judgments and have the ability to learn ?on the fly? are a significant step towards automation of knowledge work. The applications of this t...

Effects of Granular Control on Customers’ Perspective and Behavior with Automated Demand Response Systems

Energy Technology Data Exchange (ETDEWEB)

Schetrit, Oren; Kim, Joyce; Yin, Rongxin; Kiliccote, Sila

2014-08-01

Automated demand response (Auto-DR) is expected to close the loop between buildings and the grid by providing machine-to-machine communications to curtail loads without the need for human intervention. Hence, it can offer more reliable and repeatable demand response results to the grid than the manual approach and make demand response participation a hassle-free experience for customers. However, many building operators misunderstand Auto-DR and are afraid of losing control over their building operation. To ease the transition from manual to Auto-DR, we designed and implemented granular control of Auto-DR systems so that building operators could modify or opt out of individual load-shed strategies whenever they wanted. This paper reports the research findings from this effort demonstrated through a field study in large commercial buildings located in New York City. We focused on (1) understanding how providing granular control affects building operators’ perspective on Auto-DR, and (2) evaluating the usefulness of granular control by examining their interaction with the Auto-DR user interface during test events. Through trend log analysis, interviews, and surveys, we found that: (1) the opt-out capability during Auto-DR events can remove the feeling of being forced into load curtailments and increase their willingness to adopt Auto-DR; (2) being able to modify individual load-shed strategies allows flexible Auto-DR participation that meets the building’s changing operational requirements; (3) a clear display of automation strategies helps building operators easily identify how Auto-DR is functioning and can build trust in Auto-DR systems.

Automated classification of self-grooming in mice using open-source software.

Science.gov (United States)

van den Boom, Bastijn J G; Pavlidi, Pavlina; Wolf, Casper J H; Mooij, Adriana H; Willuhn, Ingo

2017-09-01

Manual analysis of behavior is labor intensive and subject to inter-rater variability. Although considerable progress in automation of analysis has been made, complex behavior such as grooming still lacks satisfactory automated quantification. We trained a freely available, automated classifier, Janelia Automatic Animal Behavior Annotator (JAABA), to quantify self-grooming duration and number of bouts based on video recordings of SAPAP3 knockout mice (a mouse line that self-grooms excessively) and wild-type animals. We compared the JAABA classifier with human expert observers to test its ability to measure self-grooming in three scenarios: mice in an open field, mice on an elevated plus-maze, and tethered mice in an open field. In each scenario, the classifier identified both grooming and non-grooming with great accuracy and correlated highly with results obtained by human observers. Consistently, the JAABA classifier confirmed previous reports of excessive grooming in SAPAP3 knockout mice. Thus far, manual analysis was regarded as the only valid quantification method for self-grooming. We demonstrate that the JAABA classifier is a valid and reliable scoring tool, more cost-efficient than manual scoring, easy to use, requires minimal effort, provides high throughput, and prevents inter-rater variability. We introduce the JAABA classifier as an efficient analysis tool for the assessment of rodent self-grooming with expert quality. In our "how-to" instructions, we provide all information necessary to implement behavioral classification with JAABA. Copyright © 2017 Elsevier B.V. All rights reserved.

Stress reactions to cognitively demanding tasks and open-plan office noise

DEFF Research Database (Denmark)

Kristiansen, Jesper; Mathiesen, Line; Nielsen, Pernille Kofoed

2009-01-01

measured. RESULTS: Cognitively demanding work tasks were associated with changes in HRV, systolic blood pressure and EMG that reflects increased sympathetic activity in the autonomic nervous system. No effect of noise was observed, except for a higher rating of perceived exertion in the head and, contrary......OBJECTIVES: To investigate the effects of cognitively demanding work tasks and office noise on heart rate variability (HRV), cardiovascular responses and electromyography (EMG) activity in the trapezius muscles. METHODS: Ten female volunteers were exposed to simulated open-plan office noise for 35...

Will the future of knowledge work automation transform personalized medicine?

Science.gov (United States)

Naik, Gauri; Bhide, Sanika S

2014-09-01

Today, we live in a world of 'information overload' which demands high level of knowledge-based work. However, advances in computer hardware and software have opened possibilities to automate 'routine cognitive tasks' for knowledge processing. Engineering intelligent software systems that can process large data sets using unstructured commands and subtle judgments and have the ability to learn 'on the fly' are a significant step towards automation of knowledge work. The applications of this technology for high throughput genomic analysis, database updating, reporting clinically significant variants, and diagnostic imaging purposes are explored using case studies.

Participation through Automation: Fully Automated Critical PeakPricing in Commercial Buildings

Energy Technology Data Exchange (ETDEWEB)

Piette, Mary Ann; Watson, David S.; Motegi, Naoya; Kiliccote,Sila; Linkugel, Eric

2006-06-20

California electric utilities have been exploring the use of dynamic critical peak prices (CPP) and other demand response programs to help reduce peaks in customer electric loads. CPP is a tariff design to promote demand response. Levels of automation in DR can be defined as follows: Manual Demand Response involves a potentially labor-intensive approach such as manually turning off or changing comfort set points at each equipment switch or controller. Semi-Automated Demand Response involves a pre-programmed demand response strategy initiated by a person via centralized control system. Fully Automated Demand Response does not involve human intervention, but is initiated at a home, building, or facility through receipt of an external communications signal. The receipt of the external signal initiates pre-programmed demand response strategies. They refer to this as Auto-DR. This paper describes the development, testing, and results from automated CPP (Auto-CPP) as part of a utility project in California. The paper presents the project description and test methodology. This is followed by a discussion of Auto-DR strategies used in the field test buildings. They present a sample Auto-CPP load shape case study, and a selection of the Auto-CPP response data from September 29, 2005. If all twelve sites reached their maximum saving simultaneously, a total of approximately 2 MW of DR is available from these twelve sites that represent about two million ft{sup 2}. The average DR was about half that value, at about 1 MW. These savings translate to about 0.5 to 1.0 W/ft{sup 2} of demand reduction. They are continuing field demonstrations and economic evaluations to pursue increasing penetrations of automated DR that has demonstrated ability to provide a valuable DR resource for California.

Opportunities, Barriers and Actions for Industrial Demand Response in California

Energy Technology Data Exchange (ETDEWEB)

McKane, Aimee T.; Piette, Mary Ann; Faulkner, David; Ghatikar, Girish; Radspieler Jr., Anthony; Adesola, Bunmi; Murtishaw, Scott; Kiliccote, Sila

2008-01-31

In 2006 the Demand Response Research Center (DRRC) formed an Industrial Demand Response Team to investigate opportunities and barriers to implementation of Automated Demand Response (Auto-DR) systems in California industries. Auto-DR is an open, interoperable communications and technology platform designed to: Provide customers with automated, electronic price and reliability signals; Provide customers with capability to automate customized DR strategies; Automate DR, providing utilities with dispatchable operational capability similar to conventional generation resources. This research began with a review of previous Auto-DR research on the commercial sector. Implementing Auto-DR in industry presents a number of challenges, both practical and perceived. Some of these include: the variation in loads and processes across and within sectors, resource-dependent loading patterns that are driven by outside factors such as customer orders or time-critical processing (e.g. tomato canning), the perceived lack of control inherent in the term 'Auto-DR', and aversion to risk, especially unscheduled downtime. While industry has demonstrated a willingness to temporarily provide large sheds and shifts to maintain grid reliability and be a good corporate citizen, the drivers for widespread Auto-DR will likely differ. Ultimately, most industrial facilities will balance the real and perceived risks associated with Auto-DR against the potential for economic gain through favorable pricing or incentives. Auto-DR, as with any ongoing industrial activity, will need to function effectively within market structures. The goal of the industrial research is to facilitate deployment of industrial Auto-DR that is economically attractive and technologically feasible. Automation will make DR: More visible by providing greater transparency through two-way end-to-end communication of DR signals from end-use customers; More repeatable, reliable, and persistent because the automated

Free and open-source automated 3-D microscope.

Science.gov (United States)

Wijnen, Bas; Petersen, Emily E; Hunt, Emily J; Pearce, Joshua M

2016-11-01

Open-source technology not only has facilitated the expansion of the greater research community, but by lowering costs it has encouraged innovation and customizable design. The field of automated microscopy has continued to be a challenge in accessibility due the expense and inflexible, noninterchangeable stages. This paper presents a low-cost, open-source microscope 3-D stage. A RepRap 3-D printer was converted to an optical microscope equipped with a customized, 3-D printed holder for a USB microscope. Precision measurements were determined to have an average error of 10 μm at the maximum speed and 27 μm at the minimum recorded speed. Accuracy tests yielded an error of 0.15%. The machine is a true 3-D stage and thus able to operate with USB microscopes or conventional desktop microscopes. It is larger than all commercial alternatives, and is thus capable of high-depth images over unprecedented areas and complex geometries. The repeatability is below 2-D microscope stages, but testing shows that it is adequate for the majority of scientific applications. The open-source microscope stage costs less than 3-9% of the closest proprietary commercial stages. This extreme affordability vastly improves accessibility for 3-D microscopy throughout the world. © 2016 The Authors Journal of Microscopy © 2016 Royal Microscopical Society.

Demand Response Opportunities in Industrial Refrigerated Warehouses in California

Energy Technology Data Exchange (ETDEWEB)

Goli, Sasank; McKane, Aimee; Olsen, Daniel

2011-06-14

Industrial refrigerated warehouses that implemented energy efficiency measures and have centralized control systems can be excellent candidates for Automated Demand Response (Auto-DR) due to equipment synergies, and receptivity of facility managers to strategies that control energy costs without disrupting facility operations. Auto-DR utilizes OpenADR protocol for continuous and open communication signals over internet, allowing facilities to automate their Demand Response (DR). Refrigerated warehouses were selected for research because: They have significant power demand especially during utility peak periods; most processes are not sensitive to short-term (2-4 hours) lower power and DR activities are often not disruptive to facility operations; the number of processes is limited and well understood; and past experience with some DR strategies successful in commercial buildings may apply to refrigerated warehouses. This paper presents an overview of the potential for load sheds and shifts from baseline electricity use in response to DR events, along with physical configurations and operating characteristics of refrigerated warehouses. Analysis of data from two case studies and nine facilities in Pacific Gas and Electric territory, confirmed the DR abilities inherent to refrigerated warehouses but showed significant variation across facilities. Further, while load from California's refrigerated warehouses in 2008 was 360 MW with estimated DR potential of 45-90 MW, actual achieved was much less due to low participation. Efforts to overcome barriers to increased participation may include, improved marketing and recruitment of potential DR sites, better alignment and emphasis on financial benefits of participation, and use of Auto-DR to increase consistency of participation.

Will the future of knowledge work automation transform personalized medicine?

Directory of Open Access Journals (Sweden)

Gauri Naik

2014-09-01

Full Text Available Today, we live in a world of ‘information overload’ which demands high level of knowledge-based work. However, advances in computer hardware and software have opened possibilities to automate ‘routine cognitive tasks’ for knowledge processing. Engineering intelligent software systems that can process large data sets using unstructured commands and subtle judgments and have the ability to learn ‘on the fly’ are a significant step towards automation of knowledge work. The applications of this technology for high throughput genomic analysis, database updating, reporting clinically significant variants, and diagnostic imaging purposes are explored using case studies.

OpenCyto: an open source infrastructure for scalable, robust, reproducible, and automated, end-to-end flow cytometry data analysis.

Directory of Open Access Journals (Sweden)

Greg Finak

2014-08-01

Full Text Available Flow cytometry is used increasingly in clinical research for cancer, immunology and vaccines. Technological advances in cytometry instrumentation are increasing the size and dimensionality of data sets, posing a challenge for traditional data management and analysis. Automated analysis methods, despite a general consensus of their importance to the future of the field, have been slow to gain widespread adoption. Here we present OpenCyto, a new BioConductor infrastructure and data analysis framework designed to lower the barrier of entry to automated flow data analysis algorithms by addressing key areas that we believe have held back wider adoption of automated approaches. OpenCyto supports end-to-end data analysis that is robust and reproducible while generating results that are easy to interpret. We have improved the existing, widely used core BioConductor flow cytometry infrastructure by allowing analysis to scale in a memory efficient manner to the large flow data sets that arise in clinical trials, and integrating domain-specific knowledge as part of the pipeline through the hierarchical relationships among cell populations. Pipelines are defined through a text-based csv file, limiting the need to write data-specific code, and are data agnostic to simplify repetitive analysis for core facilities. We demonstrate how to analyze two large cytometry data sets: an intracellular cytokine staining (ICS data set from a published HIV vaccine trial focused on detecting rare, antigen-specific T-cell populations, where we identify a new subset of CD8 T-cells with a vaccine-regimen specific response that could not be identified through manual analysis, and a CyTOF T-cell phenotyping data set where a large staining panel and many cell populations are a challenge for traditional analysis. The substantial improvements to the core BioConductor flow cytometry packages give OpenCyto the potential for wide adoption. It can rapidly leverage new developments in

Manual versus Automated Rodent Behavioral Assessment: Comparing Efficacy and Ease of Bederson and Garcia Neurological Deficit Scores to an Open Field Video-Tracking System.

Science.gov (United States)

Desland, Fiona A; Afzal, Aqeela; Warraich, Zuha; Mocco, J

2014-01-01

Animal models of stroke have been crucial in advancing our understanding of the pathophysiology of cerebral ischemia. Currently, the standards for determining neurological deficit in rodents are the Bederson and Garcia scales, manual assessments scoring animals based on parameters ranked on a narrow scale of severity. Automated open field analysis of a live-video tracking system that analyzes animal behavior may provide a more sensitive test. Results obtained from the manual Bederson and Garcia scales did not show significant differences between pre- and post-stroke animals in a small cohort. When using the same cohort, however, post-stroke data obtained from automated open field analysis showed significant differences in several parameters. Furthermore, large cohort analysis also demonstrated increased sensitivity with automated open field analysis versus the Bederson and Garcia scales. These early data indicate use of automated open field analysis software may provide a more sensitive assessment when compared to traditional Bederson and Garcia scales.

Manual versus Automated Rodent Behavioral Assessment: Comparing Efficacy and Ease of Bederson and Garcia Neurological Deficit Scores to an Open Field Video-Tracking System

Directory of Open Access Journals (Sweden)

Fiona A. Desland

2014-01-01

Full Text Available Animal models of stroke have been crucial in advancing our understanding of the pathophysiology of cerebral ischemia. Currently, the standards for determining neurological deficit in rodents are the Bederson and Garcia scales, manual assessments scoring animals based on parameters ranked on a narrow scale of severity. Automated open field analysis of a live-video tracking system that analyzes animal behavior may provide a more sensitive test. Results obtained from the manual Bederson and Garcia scales did not show significant differences between pre- and post-stroke animals in a small cohort. When using the same cohort, however, post-stroke data obtained from automated open field analysis showed significant differences in several parameters. Furthermore, large cohort analysis also demonstrated increased sensitivity with automated open field analysis versus the Bederson and Garcia scales. These early data indicate use of automated open field analysis software may provide a more sensitive assessment when compared to traditional Bederson and Garcia scales.

Automated Critical Peak Pricing Field Tests: Program Descriptionand Results

Energy Technology Data Exchange (ETDEWEB)

Piette, Mary Ann; Watson, David; Motegi, Naoya; Kiliccote, Sila; Xu, Peng

2006-04-06

California utilities have been exploring the use of critical peak prices (CPP) to help reduce needle peaks in customer end-use loads. CPP is a form of price-responsive demand response (DR). Recent experience has shown that customers have limited knowledge of how to operate their facilities in order to reduce their electricity costs under CPP (Quantum 2004). While the lack of knowledge about how to develop and implement DR control strategies is a barrier to participation in DR programs like CPP, another barrier is the lack of automation of DR systems. During 2003 and 2004, the PIER Demand Response Research Center (DRRC) conducted a series of tests of fully automated electric demand response (Auto-DR) at 18 facilities. Overall, the average of the site-specific average coincident demand reductions was 8% from a variety of building types and facilities. Many electricity customers have suggested that automation will help them institutionalize their electric demand savings and improve their overall response and DR repeatability. This report focuses on and discusses the specific results of the Automated Critical Peak Pricing (Auto-CPP, a specific type of Auto-DR) tests that took place during 2005, which build on the automated demand response (Auto-DR) research conducted through PIER and the DRRC in 2003 and 2004. The long-term goal of this project is to understand the technical opportunities of automating demand response and to remove technical and market impediments to large-scale implementation of automated demand response (Auto-DR) in buildings and industry. A second goal of this research is to understand and identify best practices for DR strategies and opportunities. The specific objectives of the Automated Critical Peak Pricing test were as follows: (1) Demonstrate how an automated notification system for critical peak pricing can be used in large commercial facilities for demand response (DR). (2) Evaluate effectiveness of such a system. (3) Determine how customers

An open-source toolbox for automated phenotyping of mice in behavioral tasks

Directory of Open Access Journals (Sweden)

Tapan P Patel

2014-10-01

Full Text Available Classifying behavior patterns in mouse models of neurological, psychiatric and neurodevelopmental disorders is critical for understanding disease causality and treatment. However, complete characterization of behavior is time-intensive, prone to subjective scoring, and often requires specialized equipment. Although several reports describe automated home-cage monitoring and individual task scoring methods, we report the first open source, comprehensive toolbox for automating the scoring of several common behavior tasks used by the neuroscience community. We show this new toolbox is robust and achieves equal or better consistency when compared to manual scoring methods. We use this toolbox to study the alterations in behavior that occur following blast-induced traumatic brain injury (bTBI, and study if these behavior patterns are altered following genetic deletion of the transcription factor Ets-like kinase 1 (Elk-1. Due to the role of Elk-1 in neuronal survival and proposed role in synaptic plasticity, we hypothesized that Elk-1 deletion would improve some neurobehavioral deficits, while impairing others, following blast exposure. In Elk-1 knockout animals, deficits in open field, spatial object recognition and elevated zero maze performance after blast exposure disappeared, while new significant deficits appeared in spatial and associative memory. These are the first data suggesting a molecular mediator of anxiety deficits following blast-induced traumatic brain injury, and represent the utility of the broad screening tool we developed. More broadly, we envision this open-source toolbox will provide a more consistent and rapid analysis of behavior across many neurological diseases, promoting the rapid discovery of novel pathways mediating disease progression and treatment.

How to assess sustainability in automated manufacturing

DEFF Research Database (Denmark)

Dijkman, Teunis Johannes; Rödger, Jan-Markus; Bey, Niki

2015-01-01

The aim of this paper is to describe how sustainability in automation can be assessed. The assessment method is illustrated using a case study of a robot. Three aspects of sustainability assessment in automation are identified. Firstly, we consider automation as part of a larger system...... that fulfills the market demand for a given functionality. Secondly, three aspects of sustainability have to be assessed: environment, economy, and society. Thirdly, automation is part of a system with many levels, with different actors on each level, resulting in meeting the market demand. In this system......, (sustainability) specifications move top-down, which helps avoiding sub-optimization and problem shifting. From these three aspects, sustainable automation is defined as automation that contributes to products that fulfill a market demand in a more sustainable way. The case study presents the carbon footprints...

Open Standards in Practice: An OGC China Forum Initiative

Science.gov (United States)

Yue, Peng; Zhang, Mingda; Taylor, Trevor; Xie, Jibo; Zhang, Hongping; Tong, Xiaochong; Yu, Jinsongdi; Huang, Juntao

2016-11-01

Open standards like OGC standards can be used to improve interoperability and support machine-to-machine interaction over the Web. In the Big Data era, standard-based data and processing services from various vendors could be combined to automate the extraction of information and knowledge from heterogeneous and large volumes of geospatial data. This paper introduces an ongoing OGC China forum initiative, which will demonstrate how OGC standards can benefit the interaction among multiple organizations in China. The ability to share data and processing functions across organizations using standard services could change traditional manual interactions in their business processes, and provide on-demand decision support results by on-line service integration. In the initiative, six organizations are involved in two “MashUp” scenarios on disaster management. One “MashUp” is to derive flood maps in the Poyang Lake, Jiangxi. And the other one is to generate turbidity maps on demand in the East Lake, Wuhan, China. The two scenarios engage different organizations from the Chinese community by integrating sensor observations, data, and processing services from them, and improve the automation of data analysis process using open standards.

An open-source, programmable pneumatic setup for operation and automated control of single- and multi-layer microfluidic devices

Directory of Open Access Journals (Sweden)

Kara Brower

2018-04-01

Full Text Available Microfluidic technologies have been used across diverse disciplines (e.g. high-throughput biological measurement, fluid physics, laboratory fluid manipulation but widespread adoption has been limited in part due to the lack of openly disseminated resources that enable non-specialist labs to make and operate their own devices. Here, we report the open-source build of a pneumatic setup capable of operating both single and multilayer (Quake-style microfluidic devices with programmable scripting automation. This setup can operate both simple and complex devices with 48 device valve control inputs and 18 sample inputs, with modular design for easy expansion, at a fraction of the cost of similar commercial solutions. We present a detailed step-by-step guide to building the pneumatic instrumentation, as well as instructions for custom device operation using our software, Geppetto, through an easy-to-use GUI for live on-chip valve actuation and a scripting system for experiment automation. We show robust valve actuation with near real-time software feedback and demonstrate use of the setup for high-throughput biochemical measurements on-chip. This open-source setup will enable specialists and novices alike to run microfluidic devices easily in their own laboratories. Keywords: Microfluidics, Pneumatics, Laboratory automation, Biochip, BioMEMs, Biohacking, Fluid handling, Micro total analysis systems (μTAS, Quake-style valves

Open Source Tools for Assessment of Global Water Availability, Demands, and Scarcity

Science.gov (United States)

Li, X.; Vernon, C. R.; Hejazi, M. I.; Link, R. P.; Liu, Y.; Feng, L.; Huang, Z.; Liu, L.

2017-12-01

Water availability and water demands are essential factors for estimating water scarcity conditions. To reproduce historical observations and to quantify future changes in water availability and water demand, two open source tools have been developed by the JGCRI (Joint Global Change Research Institute): Xanthos and GCAM-STWD. Xanthos is a gridded global hydrologic model, designed to quantify and analyze water availability in 235 river basins. Xanthos uses a runoff generation and a river routing modules to simulate both historical and future estimates of total runoff and streamflows on a monthly time step at a spatial resolution of 0.5 degrees. GCAM-STWD is a spatiotemporal water disaggregation model used with the Global Change Assessment Model (GCAM) to spatially downscale global water demands for six major enduse sectors (irrigation, domestic, electricity generation, mining, and manufacturing) from the region scale to the scale of 0.5 degrees. GCAM-STWD then temporally downscales the gridded annual global water demands to monthly results. These two tools, written in Python, can be integrated to assess global, regional or basin-scale water scarcity or water stress. Both of the tools are extensible to ensure flexibility and promote contribution from researchers that utilize GCAM and study global water use and supply.

Demo abstract: Flexhouse-2-an open source building automation platform with a focus on flexible control

DEFF Research Database (Denmark)

Gehrke, Oliver; Kosek, Anna Magdalena; Svendsen, Mathias

2014-01-01

, an open-source implementation of a building automation system which has been designed with a strong focus on enabling the integration of the building into a smart power system and dedicated support for the requirements of an R&D environment. We will demonstrate the need for such a platform, discuss...

An Open-Source Automated Peptide Synthesizer Based on Arduino and Python.

Science.gov (United States)

Gali, Hariprasad

2017-10-01

The development of the first open-source automated peptide synthesizer, PepSy, using Arduino UNO and readily available components is reported. PepSy was primarily designed to synthesize small peptides in a relatively small scale (<100 µmol). Scripts to operate PepSy in a fully automatic or manual mode were written in Python. Fully automatic script includes functions to carry out resin swelling, resin washing, single coupling, double coupling, Fmoc deprotection, ivDde deprotection, on-resin oxidation, end capping, and amino acid/reagent line cleaning. Several small peptides and peptide conjugates were successfully synthesized on PepSy with reasonably good yields and purity depending on the complexity of the peptide.

Opportunities for Automated Demand Response in Wastewater Treatment Facilities in California - Southeast Water Pollution Control Plant Case Study

Energy Technology Data Exchange (ETDEWEB)

Olsen, Daniel [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Goli, Sasank [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Faulkner, David [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); McKane, Aimee [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

2012-12-20

This report details a study into the demand response potential of a large wastewater treatment facility in San Francisco. Previous research had identified wastewater treatment facilities as good candidates for demand response and automated demand response, and this study was conducted to investigate facility attributes that are conducive to demand response or which hinder its implementation. One years' worth of operational data were collected from the facility's control system, submetered process equipment, utility electricity demand records, and governmental weather stations. These data were analyzed to determine factors which affected facility power demand and demand response capabilities The average baseline demand at the Southeast facility was approximately 4 MW. During the rainy season (October-March) the facility treated 40% more wastewater than the dry season, but demand only increased by 4%. Submetering of the facility's lift pumps and centrifuges predicted load shifts capabilities of 154 kW and 86 kW, respectively, with large lift pump shifts in the rainy season. Analysis of demand data during maintenance events confirmed the magnitude of these possible load shifts, and indicated other areas of the facility with demand response potential. Load sheds were seen to be possible by shutting down a portion of the facility's aeration trains (average shed of 132 kW). Load shifts were seen to be possible by shifting operation of centrifuges, the gravity belt thickener, lift pumps, and external pump stations These load shifts were made possible by the storage capabilities of the facility and of the city's sewer system. Large load reductions (an average of 2,065 kW) were seen from operating the cogeneration unit, but normal practice is continuous operation, precluding its use for demand response. The study also identified potential demand response opportunities that warrant further study: modulating variable-demand aeration loads, shifting

Future Trends in Process Automation

OpenAIRE

Jämsä-Jounela, Sirkka-Liisa

2007-01-01

The importance of automation in the process industries has increased dramatically in recent years. In the highly industrialized countries, process automation serves to enhance product quality, master the whole range of products, improve process safety and plant availability, efficiently utilize resources and lower emissions. In the rapidly developing countries, mass production is the main motivation for applying process automation. The greatest demand for process automation is in the chemical...

Automated population of an i2b2 clinical data warehouse from an openEHR-based data repository.

Science.gov (United States)

Haarbrandt, Birger; Tute, Erik; Marschollek, Michael

2016-10-01

Detailed Clinical Model (DCM) approaches have recently seen wider adoption. More specifically, openEHR-based application systems are now used in production in several countries, serving diverse fields of application such as health information exchange, clinical registries and electronic medical record systems. However, approaches to efficiently provide openEHR data to researchers for secondary use have not yet been investigated or established. We developed an approach to automatically load openEHR data instances into the open source clinical data warehouse i2b2. We evaluated query capabilities and the performance of this approach in the context of the Hanover Medical School Translational Research Framework (HaMSTR), an openEHR-based data repository. Automated creation of i2b2 ontologies from archetypes and templates and the integration of openEHR data instances from 903 patients of a paediatric intensive care unit has been achieved. In total, it took an average of ∼2527s to create 2.311.624 facts from 141.917 XML documents. Using the imported data, we conducted sample queries to compare the performance with two openEHR systems and to investigate if this representation of data is feasible to support cohort identification and record level data extraction. We found the automated population of an i2b2 clinical data warehouse to be a feasible approach to make openEHR data instances available for secondary use. Such an approach can facilitate timely provision of clinical data to researchers. It complements analytics based on the Archetype Query Language by allowing querying on both, legacy clinical data sources and openEHR data instances at the same time and by providing an easy-to-use query interface. However, due to different levels of expressiveness in the data models, not all semantics could be preserved during the ETL process. Copyright © 2016 Elsevier Inc. All rights reserved.

Road infrastructure and demand induction

DEFF Research Database (Denmark)

Nielsen, Thomas Alexander Sick; Hovgesen, Henrik Harder; Lahrmann, Harry

2006-01-01

a long screenline is used to measure the development in aggregate demand in selected corridors. The paper analyses demand induction by establishing time series of aggregate demand that is compared with the national traffic index. Significant trend breaks in the association between aggregate demand...... in the corridors and the national index, following the opening of motorways or bridges, indicates demand induction by infrastructure expansion in a number of instances. Lack of significant trend breaks following opening year is found in peripheral areas where major population centres are missing. This indicates...... the necessity of some latent demand within suitable travel range for new infrastructure elements to produce significant amounts of induced demand. Estimates of demand induction as a percentage of the realised demand five years after opening are between 10% and 67% for new motorway sections depending...

Distribution automation

International Nuclear Information System (INIS)

Gruenemeyer, D.

1991-01-01

This paper reports on a Distribution Automation (DA) System enhances the efficiency and productivity of a utility. It also provides intangible benefits such as improved public image and market advantages. A utility should evaluate the benefits and costs of such a system before committing funds. The expenditure for distribution automation is economical when justified by the deferral of a capacity increase, a decrease in peak power demand, or a reduction in O and M requirements

Immediate drop on demand technology (I-DOT) coupled with mass spectrometry via an open port sampling interface.

Science.gov (United States)

Van Berkel, Gary J; Kertesz, Vilmos; Boeltz, Harry

2017-11-01

The aim of this work was to demonstrate and evaluate the analytical performance of coupling the immediate drop on demand technology to a mass spectrometer via the recently introduced open port sampling interface and ESI. Methodology & results: A maximum sample analysis throughput of 5 s per sample was demonstrated. Signal reproducibility was 10% or better as demonstrated by the quantitative analysis of propranolol and its stable isotope-labeled internal standard propranolol-d7. The ability of the system to multiply charge and analyze macromolecules was demonstrated using the protein cytochrome c. This immediate drop on demand technology/open port sampling interface/ESI-MS combination allowed for the quantitative analysis of relatively small mass analytes and was used for the identification of macromolecules like proteins.

Open-source Software for Demand Forecasting of Clinical Laboratory Test Volumes Using Time-series Analysis.

Science.gov (United States)

Mohammed, Emad A; Naugler, Christopher

2017-01-01

Demand forecasting is the area of predictive analytics devoted to predicting future volumes of services or consumables. Fair understanding and estimation of how demand will vary facilitates the optimal utilization of resources. In a medical laboratory, accurate forecasting of future demand, that is, test volumes, can increase efficiency and facilitate long-term laboratory planning. Importantly, in an era of utilization management initiatives, accurately predicted volumes compared to the realized test volumes can form a precise way to evaluate utilization management initiatives. Laboratory test volumes are often highly amenable to forecasting by time-series models; however, the statistical software needed to do this is generally either expensive or highly technical. In this paper, we describe an open-source web-based software tool for time-series forecasting and explain how to use it as a demand forecasting tool in clinical laboratories to estimate test volumes. This tool has three different models, that is, Holt-Winters multiplicative, Holt-Winters additive, and simple linear regression. Moreover, these models are ranked and the best one is highlighted. This tool will allow anyone with historic test volume data to model future demand.

Open-source software for demand forecasting of clinical laboratory test volumes using time-series analysis

Directory of Open Access Journals (Sweden)

Emad A Mohammed

2017-01-01

Full Text Available Background: Demand forecasting is the area of predictive analytics devoted to predicting future volumes of services or consumables. Fair understanding and estimation of how demand will vary facilitates the optimal utilization of resources. In a medical laboratory, accurate forecasting of future demand, that is, test volumes, can increase efficiency and facilitate long-term laboratory planning. Importantly, in an era of utilization management initiatives, accurately predicted volumes compared to the realized test volumes can form a precise way to evaluate utilization management initiatives. Laboratory test volumes are often highly amenable to forecasting by time-series models; however, the statistical software needed to do this is generally either expensive or highly technical. Method: In this paper, we describe an open-source web-based software tool for time-series forecasting and explain how to use it as a demand forecasting tool in clinical laboratories to estimate test volumes. Results: This tool has three different models, that is, Holt-Winters multiplicative, Holt-Winters additive, and simple linear regression. Moreover, these models are ranked and the best one is highlighted. Conclusion: This tool will allow anyone with historic test volume data to model future demand.

[Modularization by the open standard. (II)].

Science.gov (United States)

Muto, M; Takaha, Y; Chiba, N

2000-10-01

In recent years, accompanied by the marvelous development and spread of Laboratory Automation System(LAS), the NCCLS is now proposing five international standards for laboratory automation. We have based our laboratory on these "NCCLS standards of laboratory automation", we take these standards ahead first, and we now propose an open standard called "Open LA 21", to establish more detailed standard replacing the NCCLS laboratory automation standards.

Automated evaluation of ultrasonic indications

International Nuclear Information System (INIS)

Hansch, M.K.T.; Stegemann, D.

1994-01-01

Future requirements of reliability and reproducibility in quality assurance demand computer evaluation of defect indications. The ultrasonic method with its large field of applications and a high potential for automation provides all preconditions for fully automated inspection. The survey proposes several desirable hardware improvements, data acquisition requirements and software configurations. (orig.) [de

Research on Simulation Requirements and Business Architecture of Automated Demand Response in Power Sales Side Market Liberalization

Science.gov (United States)

Liu, Yiqun; Zhou, Pengcheng; Zeng, Ming; Chen, Songsong

2018-01-01

With the gradual reform of the electricity market, the power sale side liberalization has become the focus of attention as the key task of reform. The open power market provides a good environment for DR (Demand Response). It is of great significance to research the simulation requirements and business architecture of ADR (Automatic Demand Response) in power sale side market liberalization. Firstly, this paper analyzes the simulation requirements of ADR. Secondly, it analyzes the influence factors that the business development of ADR from five aspects after power sale side market liberalization. Finally, Based on ADR technology support system, the business architecture of ADR after power sale side market liberalization is constructed.

Transient Air-Water Flow and Air Demand following an Opening Outlet Gate

Directory of Open Access Journals (Sweden)

James Yang

2018-01-01

Full Text Available In Sweden, the dam-safety guidelines call for an overhaul of many existing bottom outlets. During the opening of an outlet gate, understanding the transient air-water flow is essential for its safe operation, especially under submerged tailwater conditions. Three-dimensional CFD simulations are undertaken to examine air-water flow behaviors at both free and submerged outflows. The gate, hoisted by wire ropes and powered by AC, opens at a constant speed. A mesh is adapted to follow the gate movement. At the free outflow, the CFD simulations and model tests agree well in terms of outlet discharge capacity. Larger air vents lead to more air supply; the increment becomes, however, limited if the vent area is larger than 10 m2. At the submerged outflow, a hydraulic jump builds up in the conduit when the gate reaches approximately 45% of its full opening. The discharge is affected by the tailwater and slightly by the flow with the hydraulic jump. The flow features strong turbulent mixing of air and water, with build-up and break-up of air pockets and collisions of defragmented water bodies. The air demand rate is several times as much as required by steady-state hydraulic jump with free surface.

How do Air Traffic Controllers Use Automation and Tools Differently During High Demand Situations?

Science.gov (United States)

Kraut, Joshua M.; Mercer, Joey; Morey, Susan; Homola, Jeffrey; Gomez, Ashley; Prevot, Thomas

2013-01-01

In a human-in-the-loop simulation, two air traffic controllers managed identical airspace while burdened with higher than average workload, and while using advanced tools and automation designed to assist with scheduling aircraft on multiple arrival flows to a single meter fix. This paper compares the strategies employed by each controller, and investigates how the controllers' strategies change while managing their airspace under more normal workload conditions and a higher workload condition. Each controller engaged in different methods of maneuvering aircraft to arrive on schedule, and adapted their strategies to cope with the increased workload in different ways. Based on the conclusions three suggestions are made: that quickly providing air traffic controllers with recommendations and information to assist with maneuvering and scheduling aircraft when burdened with increased workload will improve the air traffic controller's effectiveness, that the tools should adapt to the strategy currently employed by a controller, and that training should emphasize which traffic management strategies are most effective given specific airspace demands.

The Employment-Impact of Automation in Canada

OpenAIRE

McLean, Colin Alexander

2015-01-01

Standard neoclassical models of labour demand predict that automation does not produce long-term increases in unemployment. Supporting evidence in Canada between 1970 and 2008 is explained by the reallocation of labour from industries with high levels of automation such as Manufacturing to industries with low levels of automation such as Retail and Wholesale Trade, and Business Services. Recent evidence indicates however that on-going technological advances are now driving labour automation i...

Public demand for preserving local open space.

Science.gov (United States)

Jeffrey D. Kline

2006-01-01

Increased development results in the loss of forest, farm, range, and other open space lands that contribute to the quality of life of U.S. residents. I describe an economic rationale for growing public support for preserving local open space, based the growing scarcity of open space lands. I test the rationale empirically by correlating the prevalence of open space...

A review of automated systems for cyclotrons use

International Nuclear Information System (INIS)

Araujo, Sumair G.

2002-01-01

Automation has a growing role in process controls in general. It is everyday more and present in human kind's dreams, being pursued by scientists as the solution to improve the quality of life, to replace big efforts, to attend the growing demand of the world populace. Automation is a technology that can be applied in several processes to generate productivity, agility, flexibility and welfare. It opens horizons so that man can multiply his potential, develop his creativity and gives birth to a new age of realizations. Where he will certainly will be the central figure, responsible for decisions. It is up to him to find the best way. In particular, automation of target irradiation systems in cyclotrons is important in order to reduce the radiation dose received by the personnel and to increase the reliability of the method, leading to an improvement in the radioisotope production capacity. This work presents a literature review of automatized systems comparing them with the one developed at IPEN. The systems found in literature involve the use of solid, liquid and gaseous targets used in radioisotope production for Nuclear Medicine employing the techniques of PET (Positron Emission Tomography) and SPET (Single Photon Emission Tomography). (author)

Integrated Platform for Automated Sustainable Demand Response in Smart Grids

Energy Technology Data Exchange (ETDEWEB)

Zois, Vassilis [Univ. of Southern California, Los Angeles, CA (United States). Dept. of Computer Science; Frincu, Marc [Univ. of Southern California, Los Angeles, CA (United States). Dept. of Electrical Engineering; Prasanna, Viktor K. [Univ. of Southern California, Los Angeles, CA (United States). Dept. of Electrical Engineering

2014-10-08

Demand Response(DR) is a common practice used by utility providers to regulate energy demand. It is used at periods of high demand to minimize the peak to average consumption ratio. Several methods have been Demand Response(DR) is a common praon using information about the baseline consumption and the consumption during DR. Our goal is to provide a sustainable reduction to ensure the elimination of peaks in demand. The proposed system includes an adaptation mechanism for when the provided solution does not meet the DR requirements. We conducted a series of experiments using consumption data from a real life micro grid to evaluate the efficiency as well as the robustness of our solution.

Integrating Standard Operating Procedures with Spacecraft Automation, Phase II

Data.gov (United States)

National Aeronautics and Space Administration — Spacecraft automation can be used to greatly reduce the demands on crew member and flight controllers time and attention. Automation can monitor critical resources,...

A predictive control scheme for automated demand response mechanisms

NARCIS (Netherlands)

Lampropoulos, I.; Bosch, van den P.P.J.; Kling, W.L.

2012-01-01

The development of demand response mechanisms can provide a considerable option for the integration of renewable energy sources and the establishment of efficient generation and delivery of electrical power. The full potential of demand response can be significant, but its exploration still remains

Energy demand seen as an open perspective

International Nuclear Information System (INIS)

Scholz, L.

1990-01-01

In the course assessments of the potentials of conserving energy it has become clear that the major problems in such attempts do not come from the field of science or technology, but rather from the economy and the society. The chapter on prognostic assessment of energy demand therefore discusses the procedures in the Federal Republic of Germany and prognoses of energy demand and supply in their context, which is made up of ecological, economic, political and sociological factors. (DG) [de

The 'PhenoBox', a flexible, automated, open-source plant phenotyping solution.

Science.gov (United States)

Czedik-Eysenberg, Angelika; Seitner, Sebastian; Güldener, Ulrich; Koemeda, Stefanie; Jez, Jakub; Colombini, Martin; Djamei, Armin

2018-04-05

There is a need for flexible and affordable plant phenotyping solutions for basic research and plant breeding. We demonstrate our open source plant imaging and processing solution ('PhenoBox'/'PhenoPipe') and provide construction plans, source code and documentation to rebuild the system. Use of the PhenoBox is exemplified by studying infection of the model grass Brachypodium distachyon by the head smut fungus Ustilago bromivora, comparing phenotypic responses of maize to infection with a solopathogenic Ustilago maydis (corn smut) strain and effector deletion strains, and studying salt stress response in Nicotiana benthamiana. In U. bromivora-infected grass, phenotypic differences between infected and uninfected plants were detectable weeks before qualitative head smut symptoms. Based on this, we could predict the infection outcome for individual plants with high accuracy. Using a PhenoPipe module for calculation of multi-dimensional distances from phenotyping data, we observe a time after infection-dependent impact of U. maydis effector deletion strains on phenotypic response in maize. The PhenoBox/PhenoPipe system is able to detect established salt stress responses in N. benthamiana. We have developed an affordable, automated, open source imaging and data processing solution that can be adapted to various phenotyping applications in plant biology and beyond. © 2018 The Authors. New Phytologist © 2018 New Phytologist Trust.

Criteria for demand response systems

NARCIS (Netherlands)

Lampropoulos, I.; Kling, W.L.; Bosch, van den P.P.J.; Ribeiro, P.F.; Berg, van den J.

2013-01-01

The topic of demand side management is currently becoming more important than ever, in parallel with the further deregulation of the electricity sector, and the increasing integration of renewable energy sources. A historical review of automation integration in power system control assists in

Resins production: batch plant automation

International Nuclear Information System (INIS)

Banti, M.; Mauri, G.

1996-01-01

Companies that look for automation in their plants without external resources, have at their disposal flexible, custom and easy to use DCS, open towards PLC. In this article it is explained why Hoechts has followed this way of new plants for resins production automation

Emerging technologies for demand side management. Demand side management jitsugen no tame no saishin gijutsu

Energy Technology Data Exchange (ETDEWEB)

Suzuki, H; Iyoda, I [Mitsubishi Electric Corp., Tokyo (Japan)

1993-11-05

This paper explains the latest situation in hardware technologies to realize the demand side management, divided into the following technologies: communications technology, measurement technology, client information system technology, load controlling technology, home automation technology, and energy storing and saving technologies. Speaking of the communications technology, information exchange between the supply side and the demand side is important in the demand side management, whereas a technology intended of automatic power distribution and automatic meter-reading is advancing in development. The technology covers transmissions using from power lines and telephone lines to optical cables and wireless communications. Power line communications using power transmission lines as communication lines are simple and economical, but weak against noise, and not suitable for long-distance communications. Wireless communications have been drawing attentions along with the development of mobile communication device technologies. These technologies will give benefits to electric power companies in the initial stage of their use, such as for load investigation and general automation in power distribution. They would shift to benefiting users in about 2010 covering from security information such as about power interruption to publicity information and educations. 8 refs., 8 figs., 1 tab.

Information management - Assessing the demand for information

Science.gov (United States)

Rogers, William H.

1991-01-01

Information demand is defined in terms of both information content (what information) and form (when, how, and where it is needed). Providing the information richness required for flight crews to be informed without overwhelming their information processing capabilities will require a great deal of automated intelligence. It is seen that the essence of this intelligence is comprehending and capturing the demand for information.

Open3DQSAR

DEFF Research Database (Denmark)

Tosco, Paolo; Balle, Thomas

2011-01-01

Description Open3DQSAR is an open-source tool aimed at pharmacophore exploration by high-throughput chemometric analysis of molecular interaction fields (MIFs). Open3DQSAR can generate steric potential, electron density and MM/QM electrostatic potential fields; furthermore, it can import GRIDKONT...... binary files produced by GRID and CoMFA/CoMSIA fields (exported from SYBYL with the aid of a small SPL script). Subsequently, Open3DQSAR performs fast, automated PLS chemometric analysis of MIFs allowing to quickly generate and challenge the predictivity of many 3D-QSAR models using different training...... integration with OpenBabel, PyMOL, gnuplot •Multi-threaded computation of MIFs (both MM and QM); support for MMFF94 and GAFF force-fields with automated assignment of atom types to the imported molecular structures •Comprehensive output, including SDF molecular databases, 3D maps and many different plots...

Analysis of the Effects of Connected–Automated Vehicle Technologies on Travel Demand

Energy Technology Data Exchange (ETDEWEB)

Auld, Joshua [Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439; Sokolov, Vadim [Department of Systems Engineering and Operations Research, Volgenau School of Engineering, George Mason University, MS 4A6, 4400 University Drive, Fairfax, VA 22030; Stephens, Thomas S. [Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439

2017-01-01

Connected–automated vehicle (CAV) technologies are likely to have significant effects not only on how vehicles operate in the transportation system, but also on how individuals behave and use their vehicles. While many CAV technologies—such as connected adaptive cruise control and ecosignals—have the potential to increase network throughput and efficiency, many of these same technologies have a secondary effect of reducing driver burden, which can drive changes in travel behavior. Such changes in travel behavior—in effect, lowering the cost of driving—have the potential to increase greatly the utilization of the transportation system with concurrent negative externalities, such as congestion, energy use, and emissions, working against the positive effects on the transportation system resulting from increased capacity. To date, few studies have analyzed the potential effects on CAV technologies from a systems perspective; studies often focus on gains and losses to an individual vehicle, at a single intersection, or along a corridor. However, travel demand and traffic flow constitute a complex, adaptive, nonlinear system. Therefore, in this study, an advanced transportation systems simulation model—POLARIS—was used. POLARIS includes cosimulation of travel behavior and traffic flow to study the potential effects of several CAV technologies at the regional level. Various technology penetration levels and changes in travel time sensitivity have been analyzed to determine a potential range of effects on vehicle miles traveled from various CAV technologies.

Automated measurement of spatial preference in the open field test with transmitted lighting.

Science.gov (United States)

Kulikov, Alexander V; Tikhonova, Maria A; Kulikov, Victor A

2008-05-30

New modification of the open field was designed to improve automation of the test. The main innovations were: (1) transmitted lighting and (2) estimation of probability to find pixels associated with an animal in the selected region of arena as an objective index of spatial preference. Transmitted (inverted) lighting significantly ameliorated the contrast between an animal and arena and allowed to track white animals with similar efficacy as colored ones. Probability as a measure of preference of selected region was mathematically proved and experimentally verified. A good correlation between probability and classic indices of spatial preference (number of region entries and time spent therein) was shown. The algorithm of calculation of probability to find pixels associated with an animal in the selected region was implemented in the EthoStudio software. Significant interstrain differences in locomotion and the central zone preference (index of anxiety) were shown using the inverted lighting and the EthoStudio software in mice of six inbred strains. The effects of arena shape (circle or square) and a novel object presence in the center of arena on the open field behavior in mice were studied.

Automated quantum operations in photonic qutrits

Science.gov (United States)

Borges, G. F.; Baldijão, R. D.; Condé, J. G. L.; Cabral, J. S.; Marques, B.; Terra Cunha, M.; Cabello, A.; Pádua, S.

2018-02-01

We report an experimental implementation of automated state transformations on spatial photonic qutrits following the theoretical proposal made by Baldijão et al. [Phys. Rev. A 96, 032329 (2017), 10.1103/PhysRevA.96.032329]. A qutrit state is simulated by using three Gaussian beams, and after some state operations, the transformed state is available in the end in terms of the basis state. The state transformation setup uses a spatial light modulator and a calcite-based interferometer. The results reveal the usefulness of the operation method. The experimental data show a good agreement with theoretical predictions, opening possibilities for explorations in higher dimensions and in a wide range of applications. This is a necessary step in qualifying spatial photonic qudits as a competitive setup for experimental research in the implementation of quantum algorithms which demand a large number of steps.

Framtagning av en utvecklingsprocess för automation - baserat på konceptet Lean Automation

OpenAIRE

Carnbo, Linda

2012-01-01

Due to the globalization today the competition in the market has in- creased and it requires flexibility and produce according to customer demand. In order to reduce the cost of wages industrial companies are now considering moving the manufacturing to low-cost countries. To keep up with the competition in the market without moving the manu- facturing abroad, Lean Automation was developed. The concept of Lean Automation is to reduce the perceived complexity with automa- tion and make automati...

Instrument Control (iC) - An Open-Source Software to Automate Test Equipment.

Science.gov (United States)

Pernstich, K P

2012-01-01

It has become common practice to automate data acquisition from programmable instrumentation, and a range of different software solutions fulfill this task. Many routine measurements require sequential processing of certain tasks, for instance to adjust the temperature of a sample stage, take a measurement, and repeat that cycle for other temperatures. This paper introduces an open-source Java program that processes a series of text-based commands that define the measurement sequence. These commands are in an intuitive format which provides great flexibility and allows quick and easy adaptation to various measurement needs. For each of these commands, the iC-framework calls a corresponding Java method that addresses the specified instrument to perform the desired task. The functionality of iC can be extended with minimal programming effort in Java or Python, and new measurement equipment can be addressed by defining new commands in a text file without any programming.

Performance of an Additional Task During Level 2 Automated Driving: An On-Road Study Comparing Drivers With and Without Experience With Partial Automation.

Science.gov (United States)

Solís-Marcos, Ignacio; Ahlström, Christer; Kircher, Katja

2018-05-01

To investigate the influence of prior experience with Level 2 automation on additional task performance during manual and Level 2 partially automated driving. Level 2 automation is now on the market, but its effects on driver behavior remain unclear. Based on previous studies, we could expect an increase in drivers' engagement in secondary tasks during Level 2 automated driving, but it is yet unknown how drivers will integrate all the ongoing demands in such situations. Twenty-one drivers (12 without, 9 with Level 2 automation experience) drove on a highway manually and with Level 2 automation (exemplified by Volvo Pilot Assist generation 2; PA2) while performing an additional task. In half of the conditions, the task could be interrupted (self-paced), and in the other half, it could not (system-paced). Drivers' visual attention, additional task performance, and other compensatory strategies were analyzed. Driving with PA2 led to decreased scores in the additional task and more visual attention to the dashboard. In the self-paced condition, all drivers looked more to the task and perceived a lower mental demand. The drivers experienced with PA2 used the system and the task more than the novice group and performed more overtakings. The additional task interfered more with Level 2 automation than with manual driving. The drivers, particularly the automation novice drivers, used some compensatory strategies. Automation designers need to consider these potential effects in the development of future automated systems.

Cognitive task demands, self-control demands and the mental well-being of office workers.

Science.gov (United States)

Bridger, Robert S; Brasher, Kate

2011-09-01

The cognitive task demands of office workers and the self-control demands of their work roles were measured in a sample of 196 employees in two different office layouts using a self-report questionnaire, which was circulated electronically. Multiple linear regression analysis revealed that both factors were associated with mental well-being, but not with physical well-being, while controlling for exposure to psychosocial stressors. The interaction between cognitive task demands and self-control demands had the strongest association with mental well-being, suggesting that the deleterious effect of one was greater when the other was present. An exploratory analysis revealed that the association was stronger for employees working in a large open-plan office than for those working in smaller offices with more privacy. Frustration of work goals was the cognitive task demand having the strongest negative impact on mental well-being. Methodological limitations and scale psychometrics (particularly the use of the NASA Task Load Index) are discussed. STATEMENT OF RELEVANCE: Modern office work has high mental demands and low physical demands and there is a need to design offices to prevent adverse psychological reactions. It is shown that cognitive task demands interact with self-control demands to degrade mental well-being. The association was stronger in an open-plan office.

Automated classification of self-grooming in mice using open-source software

NARCIS (Netherlands)

Van den Boom, B.; Pavlidi, Pavlina; Wolf, Casper M H; Mooij, Hanne A H; Willuhn, Ingo

BACKGROUND: Manual analysis of behavior is labor intensive and subject to inter-rater variability. Although considerable progress in automation of analysis has been made, complex behavior such as grooming still lacks satisfactory automated quantification. NEW METHOD: We trained a freely available,

Automated classification of self-grooming in mice using open-source software

NARCIS (Netherlands)

van den Boom, Bastijn J. G.; Pavlidi, Pavlina; Wolf, Casper M. H.; Mooij, Hanne A. H.; Willuhn, Ingo

2017-01-01

Background: Manual analysis of behavior is labor intensive and subject to inter-rater variability. Although considerable progress in automation of analysis has been made, complex behavior such as grooming still lacks satisfactory automated quantification. New method: We trained a freely available,

基于区块链技术的自动需求响应系统应用初探%A Preliminary Study of Block Chain based Automated Demand Response System

Institute of Scientific and Technical Information of China (English)

李彬; 卢超; 曹望璋; 祁兵; 李德智; 陈宋宋; 崔高颖

2017-01-01

Under the opened retail electricity market,the operation rules and business process of automated demand response service become more complicated.There are many capital operations for the demand response compensation and penalty.The supporting technology that guarantee demand response program is required from the aspect of security and behavior notarization.According to the requirement analysis of basis demand response program,a block chain based solution was proposed.The key issues of certificate mechanism,interconnection agreement,intelligent contract,and information security contract were investigated.Finally,the problems of applying blockchain the demand response system in view of the existing technology was presented together with the corresponding suggestions.%自动需求响应业务在售电侧放开下各类业务主体的运行规则、业务流程趋向于复杂化,在补贴结算、违约惩罚等方面又涉及大量的资金流操作,从安全性、操作行为公证等方面亟需响应的技术手段保障.该文基于对现有自动需求响应业务的需求分析,提出了基于区块链技术的应用方案,并从工作量证明机制、互联共识、智能合约、信息安全等方面剖析了区块链在自动需求响应系统中的关键问题.最后,针对现有的技术水平分析了区块链目前应用与自动需求响应系统所存在的问题,并提出相应的建议方案.

Open Location Management in Automated Warehousing Systems

NARCIS (Netherlands)

Y. Yu (Yugang); M.B.M. de Koster (René)

2009-01-01

textabstractA warehouse needs to have sufficient open locations to be able to store incoming shipments of various sizes. In combination with ongoing load retrievals open locations gradually spread over the storage area. Unfavorable positions of open locations negatively impact the average load

Operational experience with open communication in the field of building automation at the IBM center Ehningen; GA-Betriebserfahrung - mit offener Kommunikation im Informatikzentrum Ehningen

Energy Technology Data Exchange (ETDEWEB)

Damnig, A [IBM Deutschland Informationssysteme GmbH, Ehningen bei Boeblingen (Germany)

1995-12-31

In chapter 21 of the anthology about building control the operational experience with open communication in the field of building automation is discussed. The following aspects are discussed: building automation at IBM in Ehningen, the FACN experience, what has been achieved? Energy and operation optimisation. (BWI) [Deutsch] Kapitel 21 des Sammelbandes ueber Building Control ist dem Thema der Betriebserfahrung mit Gebaeudeautomationen mit offener Kommunikation gewidmet. In diesem Zusammenhang werden folgende Themenbereiche angesprochen: Gebaeudeautomation bei IBM in Ehningen, das FACN-Protokoll; Betriebserfahrungen; Was wurde erreicht?; Energie- und Betriebsoptimierungen. (BWI)

Automation synthesis modules review

International Nuclear Information System (INIS)

Boschi, S.; Lodi, F.; Malizia, C.; Cicoria, G.; Marengo, M.

2013-01-01

The introduction of 68 Ga labelled tracers has changed the diagnostic approach to neuroendocrine tumours and the availability of a reliable, long-lived 68 Ge/ 68 Ga generator has been at the bases of the development of 68 Ga radiopharmacy. The huge increase in clinical demand, the impact of regulatory issues and a careful radioprotection of the operators have boosted for extensive automation of the production process. The development of automated systems for 68 Ga radiochemistry, different engineering and software strategies and post-processing of the eluate were discussed along with impact of automation with regulations. - Highlights: ► Generators availability and robust chemistry boosted for the huge diffusion of 68Ga radiopharmaceuticals. ► Different technological approaches for 68Ga radiopharmaceuticals will be discussed. ► Generator eluate post processing and evolution to cassette based systems were the major issues in automation. ► Impact of regulations on the technological development will be also considered

Generic Automated Multi-function Finger Design

Science.gov (United States)

Honarpardaz, M.; Tarkian, M.; Sirkett, D.; Ölvander, J.; Feng, X.; Elf, J.; Sjögren, R.

2016-11-01

Multi-function fingers that are able to handle multiple workpieces are crucial in improvement of a robot workcell. Design automation of multi-function fingers is highly demanded by robot industries to overcome the current iterative, time consuming and complex manual design process. However, the existing approaches for the multi-function finger design automation are unable to entirely meet the robot industries’ need. This paper proposes a generic approach for design automation of multi-function fingers. The proposed approach completely automates the design process and requires no expert skill. In addition, this approach executes the design process much faster than the current manual process. To validate the approach, multi-function fingers are successfully designed for two case studies. Further, the results are discussed and benchmarked with existing approaches.

Automated Mobility Transitions: Governing Processes in the UK

Directory of Open Access Journals (Sweden)

Debbie Hopkins

2018-03-01

Full Text Available Contemporary systems of mobility are undergoing a transition towards automation. In the UK, this transition is being led by (often new partnerships between incumbent manufacturers and new entrants, in collaboration with national governments, local/regional councils, and research institutions. This paper first offers a framework for analyzing the governance of the transition, adapting ideas from the Transition Management (TM perspective, and then applies the framework to ongoing automated vehicle transition dynamics in the UK. The empirical analysis suggests that the UK has adopted a reasonably comprehensive approach to the governing of automated vehicle innovation but that this approach cannot be characterized as sufficiently inclusive, democratic, diverse and open. The lack of inclusivity, democracy, diversity and openness is symptomatic of the post-political character of how the UK’s automated mobility transition is being governed. The paper ends with a call for a reconfiguration of the automated vehicle transition in the UK and beyond, so that much more space is created for dissent and for reflexive and comprehensive big picture thinking on (automated mobility futures.

Leaf-GP: an open and automated software application for measuring growth phenotypes for arabidopsis and wheat.

Science.gov (United States)

Zhou, Ji; Applegate, Christopher; Alonso, Albor Dobon; Reynolds, Daniel; Orford, Simon; Mackiewicz, Michal; Griffiths, Simon; Penfield, Steven; Pullen, Nick

2017-01-01

Plants demonstrate dynamic growth phenotypes that are determined by genetic and environmental factors. Phenotypic analysis of growth features over time is a key approach to understand how plants interact with environmental change as well as respond to different treatments. Although the importance of measuring dynamic growth traits is widely recognised, available open software tools are limited in terms of batch image processing, multiple traits analyses, software usability and cross-referencing results between experiments, making automated phenotypic analysis problematic. Here, we present Leaf-GP (Growth Phenotypes), an easy-to-use and open software application that can be executed on different computing platforms. To facilitate diverse scientific communities, we provide three software versions, including a graphic user interface (GUI) for personal computer (PC) users, a command-line interface for high-performance computer (HPC) users, and a well-commented interactive Jupyter Notebook (also known as the iPython Notebook) for computational biologists and computer scientists. The software is capable of extracting multiple growth traits automatically from large image datasets. We have utilised it in Arabidopsis thaliana and wheat ( Triticum aestivum ) growth studies at the Norwich Research Park (NRP, UK). By quantifying a number of growth phenotypes over time, we have identified diverse plant growth patterns between different genotypes under several experimental conditions. As Leaf-GP has been evaluated with noisy image series acquired by different imaging devices (e.g. smartphones and digital cameras) and still produced reliable biological outputs, we therefore believe that our automated analysis workflow and customised computer vision based feature extraction software implementation can facilitate a broader plant research community for their growth and development studies. Furthermore, because we implemented Leaf-GP based on open Python-based computer vision, image

Layered distributed architecture for plant automation

International Nuclear Information System (INIS)

Aravamuthan, G.; Verma, Yachika; Ranjan, Jyoti; Chachondia, Alka S.; Ganesh, G.

2005-01-01

The development of plant automation system and associated software remains one of the greatest challenges to the widespread implementation of highly adaptive re-configurable automation technology. This paper presents a layered distributed architecture for a plant automation system designed to support rapid reconfiguration and redeployment of automation components. The paper first presents evolution of automation architecture and their associated environment in the past few decades and then presents the concept of layered system architecture and the use of automation components to support the construction of a wide variety of automation system. It also highlights the role of standards and technology, which can be used in the development of automation components. We have attempted to adhere to open standards and technology for the development of automation component at a various layers. It also highlights the application of this concept in the development of an Operator Information System (OIS) for Advanced Heavy Water Reactor (AHWR). (author)

AROSICS: An Automated and Robust Open-Source Image Co-Registration Software for Multi-Sensor Satellite Data

Directory of Open Access Journals (Sweden)

Daniel Scheffler

2017-07-01

Full Text Available Geospatial co-registration is a mandatory prerequisite when dealing with remote sensing data. Inter- or intra-sensoral misregistration will negatively affect any subsequent image analysis, specifically when processing multi-sensoral or multi-temporal data. In recent decades, many algorithms have been developed to enable manual, semi- or fully automatic displacement correction. Especially in the context of big data processing and the development of automated processing chains that aim to be applicable to different remote sensing systems, there is a strong need for efficient, accurate and generally usable co-registration. Here, we present AROSICS (Automated and Robust Open-Source Image Co-Registration Software, a Python-based open-source software including an easy-to-use user interface for automatic detection and correction of sub-pixel misalignments between various remote sensing datasets. It is independent of spatial or spectral characteristics and robust against high degrees of cloud coverage and spectral and temporal land cover dynamics. The co-registration is based on phase correlation for sub-pixel shift estimation in the frequency domain utilizing the Fourier shift theorem in a moving-window manner. A dense grid of spatial shift vectors can be created and automatically filtered by combining various validation and quality estimation metrics. Additionally, the software supports the masking of, e.g., clouds and cloud shadows to exclude such areas from spatial shift detection. The software has been tested on more than 9000 satellite images acquired by different sensors. The results are evaluated exemplarily for two inter-sensoral and two intra-sensoral use cases and show registration results in the sub-pixel range with root mean square error fits around 0.3 pixels and better.

DeMand: A tool for evaluating and comparing device-level demand and supply forecast models

DEFF Research Database (Denmark)

Neupane, Bijay; Siksnys, Laurynas; Pedersen, Torben Bach

2016-01-01

Fine-grained device-level predictions of both shiftable and non-shiftable energy demand and supply is vital in order to take advantage of Demand Response (DR) for efficient utilization of Renewable Energy Sources. The selection of an effective device-level load forecast model is a challenging task......, mainly due to the diversity of the models and the lack of proper tools and datasets that can be used to validate them. In this paper, we introduce the DeMand system for fine-tuning, analyzing, and validating the device-level forecast models. The system offers several built-in device-level measurement...... datasets, forecast models, features, and errors measures, thus semi-automating most of the steps of the forecast model selection and validation process. This paper presents the architecture and data model of the DeMand system; and provides a use-case example on how one particular forecast model...

[Transient elevation of intraocular pressure in primary open-angle glaucoma patients after automated visual field examination in the winter].

Science.gov (United States)

Nishino, Kazuaki; Yoshida, Fujiko; Nitta, Akari; Saito, Mieko; Saito, Kazuuchi

2013-12-01

To evaluate retrospectively seasonal fluctuations of transient intraocular pressure (IOP) elevation after automated visual field examination in patients with primary open-angle glaucoma (POAG). We reviewed 53 consecutive patients with POAG who visited Kaimeido Ophthalmic and Dental Clinic from January 2011 to March 2013, 21 men and 32 women aged 67.7 +/- 11.2 years. The patients were divided into 4 groups, spring, summer, autumn, and winter according to the month of automated visual field examination and both eyes of each patient were enrolled. IOP was measured immediately after automated visual field examination (vf IOP) and compared with the average IOP from the previous 3 months (pre IOP) and with the average IOP from the following 3 months (post IOP) in each season. IOP elevation rate was defined as (vf IOP- pre IOP)/pre IOP x 100% and calculated for each season (paired t test). Additionally, the correlation between mean deviation (MD) and IOP elevation rate was evaluated (single regression analysis). Exclusion criteria were patients who received cataract surgery during this study or had a history of any previous glaucoma surgery. The automated visual field test was performed with a Humphrey field analyzer and the Central 30-2 FASTPAC threshold program. The average vf IOP was 14.5 +/- 2.5 mmHg, higher than pre IOP 13.8 +/- 2.4 mmHg (p field examination, especially in the winter but not in the summer.

Does the Location of Bruch's Membrane Opening Change Over Time? Longitudinal Analysis Using San Diego Automated Layer Segmentation Algorithm (SALSA).

Science.gov (United States)

Belghith, Akram; Bowd, Christopher; Medeiros, Felipe A; Hammel, Naama; Yang, Zhiyong; Weinreb, Robert N; Zangwill, Linda M

2016-02-01

We determined if the Bruch's membrane opening (BMO) location changes over time in healthy eyes and eyes with progressing glaucoma, and validated an automated segmentation algorithm for identifying the BMO in Cirrus high-definition coherence tomography (HD-OCT) images. We followed 95 eyes (35 progressing glaucoma and 60 healthy) for an average of 3.7 ± 1.1 years. A stable group of 50 eyes had repeated tests over a short period. In each B-scan of the stable group, the BMO points were delineated manually and automatically to assess the reproducibility of both segmentation methods. Moreover, the BMO location variation over time was assessed longitudinally on the aligned images in 3D space point by point in x, y, and z directions. Mean visual field mean deviation at baseline of the progressing glaucoma group was -7.7 dB. Mixed-effects models revealed small nonsignificant changes in BMO location over time for all directions in healthy eyes (the smallest P value was 0.39) and in the progressing glaucoma eyes (the smallest P value was 0.30). In the stable group, the overall intervisit-intraclass correlation coefficient (ICC) and coefficient of variation (CV) were 98.4% and 2.1%, respectively, for the manual segmentation and 98.1% and 1.9%, respectively, for the automated algorithm. Bruch's membrane opening location was stable in normal and progressing glaucoma eyes with follow-up between 3 and 4 years indicating that it can be used as reference point in monitoring glaucoma progression. The BMO location estimation with Cirrus HD-OCT using manual and automated segmentation showed excellent reproducibility.

Demand Response Resource Quantification with Detailed Building Energy Models

Energy Technology Data Exchange (ETDEWEB)

Hale, Elaine; Horsey, Henry; Merket, Noel; Stoll, Brady; Nag, Ambarish

2017-04-03

Demand response is a broad suite of technologies that enables changes in electrical load operations in support of power system reliability and efficiency. Although demand response is not a new concept, there is new appetite for comprehensively evaluating its technical potential in the context of renewable energy integration. The complexity of demand response makes this task difficult -- we present new methods for capturing the heterogeneity of potential responses from buildings, their time-varying nature, and metrics such as thermal comfort that help quantify likely acceptability of specific demand response actions. Computed with an automated software framework, the methods are scalable.

Bioprocessing automation in cell therapy manufacturing: Outcomes of special interest group automation workshop.

Science.gov (United States)

Ball, Oliver; Robinson, Sarah; Bure, Kim; Brindley, David A; Mccall, David

2018-04-01

Phacilitate held a Special Interest Group workshop event in Edinburgh, UK, in May 2017. The event brought together leading stakeholders in the cell therapy bioprocessing field to identify present and future challenges and propose potential solutions to automation in cell therapy bioprocessing. Here, we review and summarize discussions from the event. Deep biological understanding of a product, its mechanism of action and indication pathogenesis underpin many factors relating to bioprocessing and automation. To fully exploit the opportunities of bioprocess automation, therapeutics developers must closely consider whether an automation strategy is applicable, how to design an 'automatable' bioprocess and how to implement process modifications with minimal disruption. Major decisions around bioprocess automation strategy should involve all relevant stakeholders; communication between technical and business strategy decision-makers is of particular importance. Developers should leverage automation to implement in-process testing, in turn applicable to process optimization, quality assurance (QA)/ quality control (QC), batch failure control, adaptive manufacturing and regulatory demands, but a lack of precedent and technical opportunities can complicate such efforts. Sparse standardization across product characterization, hardware components and software platforms is perceived to complicate efforts to implement automation. The use of advanced algorithmic approaches such as machine learning may have application to bioprocess and supply chain optimization. Automation can substantially de-risk the wider supply chain, including tracking and traceability, cryopreservation and thawing and logistics. The regulatory implications of automation are currently unclear because few hardware options exist and novel solutions require case-by-case validation, but automation can present attractive regulatory incentives. Copyright © 2018 International Society for Cellular Therapy

Marketing automation

Directory of Open Access Journals (Sweden)

TODOR Raluca Dania

2017-01-01

Full Text Available The automation of the marketing process seems to be nowadays, the only solution to face the major changes brought by the fast evolution of technology and the continuous increase in supply and demand. In order to achieve the desired marketing results, businessis have to employ digital marketing and communication services. These services are efficient and measurable thanks to the marketing technology used to track, score and implement each campaign. Due to the technical progress, the marketing fragmentation, demand for customized products and services on one side and the need to achieve constructive dialogue with the customers, immediate and flexible response and the necessity to measure the investments and the results on the other side, the classical marketing approached had changed continue to improve substantially.

Interoperability between OPC UA and AutomationML

OpenAIRE

Henßen, Robert; Schleipen, Miriam

2014-01-01

OPC UA (OPC Unified Architecture) is a platform-independent standard series (IEC 62541) [1], [2] for communication of industrial automation devices and systems. The OPC Unified Architecture is an advanced communication technology for process control. Certainly the launching costs for the initial information model are quite high. AutomationML (Automation Markup Language) is an upcoming open standard series (IEC 62714) [3], [4] for describing production plants or plant components. The goal of t...

Implementation of a demand elasticity model in the building energy management system

NARCIS (Netherlands)

Ożadowicz, A.; Grela, J.; Babar, M.

2016-01-01

Nowadays, crucial part of modern Building Automation and Control Systems (BACS) is electric energy management. An active demand side management is very important feature of a Building Energy Management Systems (BEMS) integrated within the BACS. Since demand value changes in time and depends on

Scenarios about development and implications of automated vehicles in the Netherlands

NARCIS (Netherlands)

Milakis, D.; Snelder, M.; Van Arem, B.; Van Wee, G.P.; Homem De Almeida Rodriguez Correia, G.

2016-01-01

Automated driving technology is emerging. Yet, less is known about when automated vehicles will hit the market, how penetration rates will evolve and to what extent this new transportation technology will affect transportation demand and planning. This study identified through scenario analysis

What's New in the Library Automation Arena?

Science.gov (United States)

Breeding, Marshall

1998-01-01

Reviews trends in library automation based on vendors at the 1998 American Library Association Annual Conference. Discusses the major industry trend, a move from host-based computer systems to the new generation of client/server, object-oriented, open systems-based automation. Includes a summary of developments for 26 vendors. (LRW)

Delineated Analysis of Robotic Process Automation Tools

OpenAIRE

Ruchi Isaac; Riya Muni; Kenali Desai

2017-01-01

In this age and time when celerity is expected out of all the sectors of the country, the speed of execution of various processes and hence efficiency, becomes a prominent factor. To facilitate the speeding demands of these diverse platforms, Robotic Process Automation (RPA) is used. Robotic Process Automation can expedite back-office tasks in commercial industries, remote management tasks in IT industries and conservation of resources in multiple sectors. To implement RPA, many software ...

Instrument Control (iC) – An Open-Source Software to Automate Test Equipment

Science.gov (United States)

Pernstich, K. P.

2012-01-01

It has become common practice to automate data acquisition from programmable instrumentation, and a range of different software solutions fulfill this task. Many routine measurements require sequential processing of certain tasks, for instance to adjust the temperature of a sample stage, take a measurement, and repeat that cycle for other temperatures. This paper introduces an open-source Java program that processes a series of text-based commands that define the measurement sequence. These commands are in an intuitive format which provides great flexibility and allows quick and easy adaptation to various measurement needs. For each of these commands, the iC-framework calls a corresponding Java method that addresses the specified instrument to perform the desired task. The functionality of iC can be extended with minimal programming effort in Java or Python, and new measurement equipment can be addressed by defining new commands in a text file without any programming. PMID:26900522

Development of a fully automated open-column chemical-separation system—COLUMNSPIDER—and its application to Sr-Nd-Pb isotope analyses of igneous rock samples

Science.gov (United States)

Miyazaki, Takashi; Vaglarov, Bogdan Stefanov; Takei, Masakazu; Suzuki, Masahiro; Suzuki, Hiroaki; Ohsawa, Kouzou; Chang, Qing; Takahashi, Toshiro; Hirahara, Yuka; Hanyu, Takeshi; Kimura, Jun-Ichi; Tatsumi, Yoshiyuki

A fully automated open-column resin-bed chemical-separation system, named COLUMNSPIDER, has been developed. The system consists of a programmable micropipetting robot that dispenses chemical reagents and sample solutions into an open-column resin bed for elemental separation. After the initial set up of resin columns, chemical reagents, and beakers for the separated chemical components, all separation procedures are automated. As many as ten samples can be eluted in parallel in a single automated run. Many separation procedures, such as radiogenic isotope ratio analyses for Sr and Nd, involve the use of multiple column separations with different resin columns, chemical reagents, and beakers of various volumes. COLUMNSPIDER completes these separations using multiple runs. Programmable functions, including the positioning of the micropipetter, reagent volume, and elution time, enable flexible operation. Optimized movements for solution take-up and high-efficiency column flushing allow the system to perform as precisely as when carried out manually by a skilled operator. Procedural blanks, examined for COLUMNSPIDER separations of Sr, Nd, and Pb, are low and negligible. The measured Sr, Nd, and Pb isotope ratios for JB-2 and Nd isotope ratios for JB-3 and BCR-2 rock standards all fall within the ranges reported previously in high-accuracy analyses. COLUMNSPIDER is a versatile tool for the efficient elemental separation of igneous rock samples, a process that is both labor intensive and time consuming.

Bayesian Safety Risk Modeling of Human-Flightdeck Automation Interaction

Science.gov (United States)

Ancel, Ersin; Shih, Ann T.

2015-01-01

Usage of automatic systems in airliners has increased fuel efficiency, added extra capabilities, enhanced safety and reliability, as well as provide improved passenger comfort since its introduction in the late 80's. However, original automation benefits, including reduced flight crew workload, human errors or training requirements, were not achieved as originally expected. Instead, automation introduced new failure modes, redistributed, and sometimes increased workload, brought in new cognitive and attention demands, and increased training requirements. Modern airliners have numerous flight modes, providing more flexibility (and inherently more complexity) to the flight crew. However, the price to pay for the increased flexibility is the need for increased mode awareness, as well as the need to supervise, understand, and predict automated system behavior. Also, over-reliance on automation is linked to manual flight skill degradation and complacency in commercial pilots. As a result, recent accidents involving human errors are often caused by the interactions between humans and the automated systems (e.g., the breakdown in man-machine coordination), deteriorated manual flying skills, and/or loss of situational awareness due to heavy dependence on automated systems. This paper describes the development of the increased complexity and reliance on automation baseline model, named FLAP for FLightdeck Automation Problems. The model development process starts with a comprehensive literature review followed by the construction of a framework comprised of high-level causal factors leading to an automation-related flight anomaly. The framework was then converted into a Bayesian Belief Network (BBN) using the Hugin Software v7.8. The effects of automation on flight crew are incorporated into the model, including flight skill degradation, increased cognitive demand and training requirements along with their interactions. Besides flight crew deficiencies, automation system

Open3DQSAR

DEFF Research Database (Denmark)

Tosco, Paolo; Balle, Thomas

2011-01-01

Open3DQSAR is a freely available open-source program aimed at chemometric analysis of molecular interaction fields. MIFs can be imported from different sources (GRID, CoMFA/CoMSIA, quantum-mechanical electrostatic potential or electron density grids) or generated by Open3DQSAR itself. Much focus...... has been put on automation through the implementation of a scriptable interface, as well as on high computational performance achieved by algorithm parallelization. Flexibility and interoperability with existing molecular modeling software make Open3DQSAR a powerful tool in pharmacophore assessment...

Selecting automation for the clinical chemistry laboratory.

Science.gov (United States)

Melanson, Stacy E F; Lindeman, Neal I; Jarolim, Petr

2007-07-01

Laboratory automation proposes to improve the quality and efficiency of laboratory operations, and may provide a solution to the quality demands and staff shortages faced by today's clinical laboratories. Several vendors offer automation systems in the United States, with both subtle and obvious differences. Arriving at a decision to automate, and the ensuing evaluation of available products, can be time-consuming and challenging. Although considerable discussion concerning the decision to automate has been published, relatively little attention has been paid to the process of evaluating and selecting automation systems. To outline a process for evaluating and selecting automation systems as a reference for laboratories contemplating laboratory automation. Our Clinical Chemistry Laboratory staff recently evaluated all major laboratory automation systems in the United States, with their respective chemistry and immunochemistry analyzers. Our experience is described and organized according to the selection process, the important considerations in clinical chemistry automation, decisions and implementation, and we give conclusions pertaining to this experience. Including the formation of a committee, workflow analysis, submitting a request for proposal, site visits, and making a final decision, the process of selecting chemistry automation took approximately 14 months. We outline important considerations in automation design, preanalytical processing, analyzer selection, postanalytical storage, and data management. Selecting clinical chemistry laboratory automation is a complex, time-consuming process. Laboratories considering laboratory automation may benefit from the concise overview and narrative and tabular suggestions provided.

Energy Production System Management - Renewable energy power supply integration with Building Automation System

International Nuclear Information System (INIS)

Figueiredo, Joao; Martins, Joao

2010-01-01

Intelligent buildings, historically and technologically, refers to the integration of four distinctive systems: Building Automation Systems (BAS), Telecommunication Systems, Office Automation Systems and Computer Building Management Systems. The increasing sophisticated BAS has become the 'heart and soul' of modern intelligent buildings. Integrating energy supply and demand elements - often known as Demand-Side Management (DSM) - has became an important energy efficiency policy concept. Nowadays, European countries have diversified their power supplies, reducing the dependence on OPEC, and developing a broader mix of energy sources maximizing the use of renewable energy domestic sources. In this way it makes sense to include a fifth system into the intelligent building group: Energy Production System Management (EPSM). This paper presents a Building Automation System where the Demand-Side Management is fully integrated with the building's Energy Production System, which incorporates a complete set of renewable energy production and storage systems.

Access control for on-demand provisioned cloud infrastructure services

NARCIS (Netherlands)

Ngo, C.T.

2016-01-01

The evolution of Cloud Computing brings advantages to both customers and service providers to utilize and manage computing and network resources more efficiently with virtualization, service-oriented architecture technologies, and automated on-demand resource provisioning. However, these advantages

The Impact of Automation Reliability and Operator Fatigue on Performance and Reliance

Science.gov (United States)

2016-09-23

Cummings et al., 2007). Automation designed to assist operators in overload situations may promote operator disengagement during periods of low...Calhoun et al., 2011). This testbed offers several tasks designed to emulate the cognitive demands that an operator managing multiple UAVs is likely...reliable (Cronbach’s α = 0.94) measure of affective and cognitive components of trust in automation. Items gauge confidence in an automation and

Simulation-based Strategies for Smart Demand Response

Directory of Open Access Journals (Sweden)

Ines Leobner

2018-03-01

Full Text Available Demand Response can be seen as one effective way to harmonize demand and supply in order to achieve high self-coverage of energy consumption by means of renewable energy sources. This paper presents two different simulation-based concepts to integrate demand-response strategies into energy management systems in the customer domain of the Smart Grid. The first approach is a Model Predictive Control of the heating and cooling system of a low-energy office building. The second concept aims at industrial Demand Side Management by integrating energy use optimization into industrial automation systems. Both approaches are targeted at day-ahead planning. Furthermore, insights gained into the implications of the concepts onto the design of the model, simulation and optimization will be discussed. While both approaches share a similar architecture, different modelling and simulation approaches were required by the use cases.

Analysis of liquid relief valves opening demand during pressure increase abnormal scenarios at Embalse nuclear power plant

International Nuclear Information System (INIS)

Bedrossian, Gustavo C.; Gersberg, Sara

2000-01-01

Two hypothetical scenarios have been analyzed where, after an initiating event, Embalse nuclear power plant primary heat transport system could undergo a pressure increase. These abnormal events are a loss of feedwater to the steam generators and a loss of Class IV power supply with Class III restoration. This analysis focuses on primary system liquid relief valves action, specially on their opening demand. Calculation results show that even when these valves are expected to open during the transient, primary system maximum allowable pressure would not be exceeded if they failed to open. System response was also studied in case that one of these relief valves did not close once primary system pressure decreases. For the scenario of loss of feedwater to steam generators, if the degasser-condenser could not be bottled-up, Emergency Cooling Injection conditions would be reached due to a continuos loss of coolant. In case of loss of Class IV -and assuming degasser-condenser bottling-up as service water would not be available- it was observed that primary system should remain pressurized, and with core cooled by thermo siphoning mechanism. (author)

Automated leak localization performance without detailed demand distribution data

NARCIS (Netherlands)

Moors, Janneke; Scholten, L.; van der Hoek, J.P.; den Besten, J.

2018-01-01

Automatic leak localization has been suggested to reduce the time and personnel efforts needed to localize
(small) leaks. Yet, the available methods require a detailed demand distribution model for successful
calibration and good leak localization performance. The main aim of this work was

Reactor pressure vessel stud management automation strategies

International Nuclear Information System (INIS)

Biach, W.L.; Hill, R.; Hung, K.

1992-01-01

The adoption of hydraulic tensioner technology as the standard for bolting and unbolting the reactor pressure vessel (RPV) head 35 yr ago represented an incredible commitment to new technology, but the existing technology was so primitive as to be clearly unacceptable. Today, a variety of approaches for improvement make the decision more difficult. Automation in existing installations must meet complex physical, logistic, and financial parameters while addressing the demands of reduced exposure, reduced critical path, and extended plant life. There are two generic approaches to providing automated RPV stud engagement and disengagement: the multiple stud tensioner and automated individual tools. A variation of the latter would include the handling system. Each has its benefits and liabilities

Process development for automated solar-cell and module production. Task 4. Automated array assembly. Quarterly report No. 3

Energy Technology Data Exchange (ETDEWEB)

Hagerty, J. J.; Gifford, M.

1981-04-15

The Automated Lamination Station is mechanically complete and is currently undergoing final wiring. The high current driver and isolator boards have been completed and installed, and the main interface board is under construction. The automated vacuum chamber has had a minor redesign to increase stiffness and improve the cover open/close mechanism. Design of the Final Assembly Station has been completed and construction is underway.

Energy-conscious building automation. Phase 1 - pilot study. Main report; Energirigtig bygningsautomation. Fase 1 - Forundersoegelse. Hovedrapport

Energy Technology Data Exchange (ETDEWEB)

Hummelshoej, R.M.; Kaarup Olsen, P. (COWI A/S, Kgs. Lyngby (Denmark)); Brohus, H. (Aalborg Univ. (AAU), Inst. for Byggeri og Anlaeg, Aalborg (Denmark)); Olesen, Bjarne W. (Danmarks Tekniske Univ., DTU Byg. Institut for Byggeri og Anlaeg, ICIEE, Kgs. Lyngby (Denmark)); Bang Skjoedt, A.; Giliamsen, P. (TAC A/S, Herlev (Denmark))

2009-09-15

Building Automation is a significant and sometimes overlooked element of low-energy buildings to ensure large energy savings by e.g. demand control and to ensure optimised operation of ventilation system, cooling and heating system etc. in both new buildings and in modernisation of existing buildings. In the building design including installation, automation makes up a large part of the total construction costs. A rough figure is 3-500 DKK/m{sup 2}. It is estimated that energy-efficient building automation can reduce buildings' energy demand by about 15 kWh/m{sup 2} (electricity and heating) on average. Based on this possible reduction of building energy demand, the project deals with optimisation of control/adjustment of building installations for lighting, heating, cooling and ventilation systems. An investigated key parameter is how much it will be okay for the room temperature to 'glide' (change) during the occupied hours in a heavy and a light office building, and how this will influence the energy demand and the sensation of the indoor climate. The project shows that it is possible to save about 15 kWh/m{sup 2} primary energy by letting the temperature 'glide' +2,5 deg. C during the daily occupied hours instead of +1 deg. C. With this operation philosophy, the building constructions' thermo-active capacity can be utilised better, and there will be less requirements for automation and operation of the climate system. In the project is assessed how large a zone area can be covered by typical sensors in order to maintain a satisfactory indoor climate and the corresponding energy demand. The electricity consumption for building automation may account for up to 6 kWh/m{sup 2} per year. The project has made a preliminary basis for indicating a good practice for 1) automation of buildings with a view to good indoor climate and a low energy demand and 2) necessary equipping with meters to be able to document energy savings and energy

Automation trust and attention allocation in multitasking workspace.

Science.gov (United States)

Karpinsky, Nicole D; Chancey, Eric T; Palmer, Dakota B; Yamani, Yusuke

2018-07-01

Previous research suggests that operators with high workload can distrust and then poorly monitor automation, which has been generally inferred from automation dependence behaviors. To test automation monitoring more directly, the current study measured operators' visual attention allocation, workload, and trust toward imperfect automation in a dynamic multitasking environment. Participants concurrently performed a manual tracking task with two levels of difficulty and a system monitoring task assisted by an unreliable signaling system. Eye movement data indicate that operators allocate less visual attention to monitor automation when the tracking task is more difficult. Participants reported reduced levels of trust toward the signaling system when the tracking task demanded more focused visual attention. Analyses revealed that trust mediated the relationship between the load of the tracking task and attention allocation in Experiment 1, an effect that was not replicated in Experiment 2. Results imply a complex process underlying task load, visual attention allocation, and automation trust during multitasking. Automation designers should consider operators' task load in multitasking workspaces to avoid reduced automation monitoring and distrust toward imperfect signaling systems. Copyright © 2018. Published by Elsevier Ltd.

Automated Selection of Hotspots (ASH): enhanced automated segmentation and adaptive step finding for Ki67 hotspot detection in adrenal cortical cancer.

Science.gov (United States)

Lu, Hao; Papathomas, Thomas G; van Zessen, David; Palli, Ivo; de Krijger, Ronald R; van der Spek, Peter J; Dinjens, Winand N M; Stubbs, Andrew P

2014-11-25

In prognosis and therapeutics of adrenal cortical carcinoma (ACC), the selection of the most active areas in proliferative rate (hotspots) within a slide and objective quantification of immunohistochemical Ki67 Labelling Index (LI) are of critical importance. In addition to intratumoral heterogeneity in proliferative rate i.e. levels of Ki67 expression within a given ACC, lack of uniformity and reproducibility in the method of quantification of Ki67 LI may confound an accurate assessment of Ki67 LI. We have implemented an open source toolset, Automated Selection of Hotspots (ASH), for automated hotspot detection and quantification of Ki67 LI. ASH utilizes NanoZoomer Digital Pathology Image (NDPI) splitter to convert the specific NDPI format digital slide scanned from the Hamamatsu instrument into a conventional tiff or jpeg format image for automated segmentation and adaptive step finding hotspots detection algorithm. Quantitative hotspot ranking is provided by the functionality from the open source application ImmunoRatio as part of the ASH protocol. The output is a ranked set of hotspots with concomitant quantitative values based on whole slide ranking. We have implemented an open source automated detection quantitative ranking of hotspots to support histopathologists in selecting the 'hottest' hotspot areas in adrenocortical carcinoma. To provide wider community easy access to ASH we implemented a Galaxy virtual machine (VM) of ASH which is available from http://bioinformatics.erasmusmc.nl/wiki/Automated_Selection_of_Hotspots . The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/13000_2014_216.

Automated Critical PeakPricing Field Tests: 2006 Pilot ProgramDescription and Results

Energy Technology Data Exchange (ETDEWEB)

Piette, Mary Ann; Watson, David; Motegi, Naoya; Kiliccote, Sila

2007-06-19

During 2006 Lawrence Berkeley National Laboratory (LBNL) and the Demand Response Research Center (DRRC) performed a technology evaluation for the Pacific Gas and Electric Company (PG&E) Emerging Technologies Programs. This report summarizes the design, deployment, and results from the 2006 Automated Critical Peak Pricing Program (Auto-CPP). The program was designed to evaluate the feasibility of deploying automation systems that allow customers to participate in critical peak pricing (CPP) with a fully-automated response. The 2006 program was in operation during the entire six-month CPP period from May through October. The methodology for this field study included site recruitment, control strategy development, automation system deployment, and evaluation of sites' participation in actual CPP events through the summer of 2006. LBNL recruited sites in PG&E's territory in northern California through contacts from PG&E account managers, conferences, and industry meetings. Each site contact signed a memorandum of understanding with LBNL that outlined the activities needed to participate in the Auto-CPP program. Each facility worked with LBNL to select and implement control strategies for demand response and developed automation system designs based on existing Internet connectivity and building control systems. Once the automation systems were installed, LBNL conducted communications tests to ensure that the Demand Response Automation Server (DRAS) correctly provided and logged the continuous communications of the CPP signals with the energy management and control system (EMCS) for each site. LBNL also observed and evaluated Demand Response (DR) shed strategies to ensure proper commissioning of controls. The communication system allowed sites to receive day-ahead as well as day-of signals for pre-cooling, a DR strategy used at a few sites. Measurement of demand response was conducted using two different baseline models for estimating peak load savings. One

Responsiveness of residential electricity demand to dynamic tariffs : experiences from a large field test in the Netherlands

NARCIS (Netherlands)

Klaassen, E.A.M.; Kobus, C.B.A.; Frunt, J.; Slootweg, J.G.

2016-01-01

To efficiently facilitate the energy transition it is essential to evaluate the potential of demand response in practice. Based on the results of a Dutch smart grid pilot, this paper assesses the potential of both manual and semi-automated demand response in residential areas. To stimulate demand

Responsiveness of residential electricity demand to dynamic tariffs : Experiences from a large field test in the Netherlands

NARCIS (Netherlands)

Klaassen, EAM; Kobus, C.B.A.; Frunt, J; Slootweg, JG

2016-01-01

To efficiently facilitate the energy transition it is essential to evaluate the potential of demand response in practice. Based on the results of a Dutch smart grid pilot, this paper assesses the potential of both manual and semi-automated demand response in residential areas. To stimulate demand

A SURVEY OF AUTOMATION TECHNIQUES COMING FORTH IN SHEET-FED OFFSET PRINTING ORGANIZATIONS

OpenAIRE

Mr. Ramesh Kumar*, Mr. Bijender & Mr. Sandeep Boora

2017-01-01

Sheet-Fed offset is one of the premier processes in India as well as abroad. To cope up with customers large quantity demands automation has become mandatory. From prepress to post press a wide range of automation techniques exist and coming forth for sheet fed offset presses. Objective of this paper is to throw light on various sheet-fed offset automation techniques existing today and their futuristic implications. The data related to automation was collected with the help of survey conducte...

The UK-DALE dataset, domestic appliance-level electricity demand and whole-house demand from five UK homes.

Science.gov (United States)

Kelly, Jack; Knottenbelt, William

2015-01-01

Many countries are rolling out smart electricity meters. These measure a home's total power demand. However, research into consumer behaviour suggests that consumers are best able to improve their energy efficiency when provided with itemised, appliance-by-appliance consumption information. Energy disaggregation is a computational technique for estimating appliance-by-appliance energy consumption from a whole-house meter signal. To conduct research on disaggregation algorithms, researchers require data describing not just the aggregate demand per building but also the 'ground truth' demand of individual appliances. In this context, we present UK-DALE: an open-access dataset from the UK recording Domestic Appliance-Level Electricity at a sample rate of 16 kHz for the whole-house and at 1/6 Hz for individual appliances. This is the first open access UK dataset at this temporal resolution. We recorded from five houses, one of which was recorded for 655 days, the longest duration we are aware of for any energy dataset at this sample rate. We also describe the low-cost, open-source, wireless system we built for collecting our dataset.

An open framework for automated chemical hazard assessment based on GreenScreen for Safer Chemicals: A proof of concept.

Science.gov (United States)

Wehage, Kristopher; Chenhansa, Panan; Schoenung, Julie M

2017-01-01

GreenScreen® for Safer Chemicals is a framework for comparative chemical hazard assessment. It is the first transparent, open and publicly accessible framework of its kind, allowing manufacturers and governmental agencies to make informed decisions about the chemicals and substances used in consumer products and buildings. In the GreenScreen® benchmarking process, chemical hazards are assessed and classified based on 18 hazard endpoints from up to 30 different sources. The result is a simple numerical benchmark score and accompanying assessment report that allows users to flag chemicals of concern and identify safer alternatives. Although the screening process is straightforward, aggregating and sorting hazard data is tedious, time-consuming, and prone to human error. In light of these challenges, the present work demonstrates the usage of automation to cull chemical hazard data from publicly available internet resources, assign metadata, and perform a GreenScreen® hazard assessment using the GreenScreen® "List Translator." The automated technique, written as a module in the Python programming language, generates GreenScreen® List Translation data for over 3000 chemicals in approximately 30 s. Discussion of the potential benefits and limitations of automated techniques is provided. By embedding the library into a web-based graphical user interface, the extensibility of the library is demonstrated. The accompanying source code is made available to the hazard assessment community. Integr Environ Assess Manag 2017;13:167-176. © 2016 SETAC. © 2016 SETAC.

A scheme for a future distribution automation system in Finnish utilities

Energy Technology Data Exchange (ETDEWEB)

Lehtonen, M.; Kaerkkaeinen, S. [VTT Energy, Espoo (Finland); Partanen, J. [Lappeenranta Univ. of Technology (Finland)

1996-12-31

This presentation summarizes the results of a project, the aim of which was to define the optimal set of functions for the future distribution automation (DA) systems in Finland. The general factors. which affect the automation needs, are first discussed. The benefits of various functions of DA and demand side management (DSM) are then studied. Next a computer model for a DA feasibility analysis is presented, and some computation results are given. From these. the proposed automation scheme is finally concluded

A scheme for a future distribution automation system in Finnish utilities

Energy Technology Data Exchange (ETDEWEB)

Lehtonen, M; Kaerkkaeinen, S [VTT Energy, Espoo (Finland); Partanen, J [Lappeenranta Univ. of Technology (Finland)

1998-08-01

This presentation summarizes the results of a project, the aim of which was to define the optimal set of functions for the future distribution automation (DA) systems in Finland. The general factors, which affect the automation needs, are first discussed. The benefits of various functions of DA and demand side management (DSM) are then studied. Next a computer model for a DA feasibility analysis is presented, and some computation results are given. From these, the proposed automation scheme is finally concluded

A scheme for a future distribution automation system in Finnish utilities

Energy Technology Data Exchange (ETDEWEB)

Lehtonen, M; Kaerkkaeinen, S [VTT Energy, Espoo (Finland); Partanen, J [Lappeenranta Univ. of Technology (Finland)

1997-12-31

This presentation summarizes the results of a project, the aim of which was to define the optimal set of functions for the future distribution automation (DA) systems in Finland. The general factors. which affect the automation needs, are first discussed. The benefits of various functions of DA and demand side management (DSM) are then studied. Next a computer model for a DA feasibility analysis is presented, and some computation results are given. From these. the proposed automation scheme is finally concluded

A Domain-specific Framework for Automated Construction and Verification of Railway Control Systems

DEFF Research Database (Denmark)

Haxthausen, Anne Elisabeth

2009-01-01

in a demand for a higher degree of automation for the development verification, validation and test phases of projects, without impairing the thoroughness of safety-related quality measures and certification activities. Motivated by these considerations, this presentation describes an approach for automated...... elaborate safety mechanisms in order to keep the risk at the same low level that has been established for European railways until today. The challenge is further increased by the demand for shorter time-to-market periods and higher competition among suppliers of the railway domain; both factors resulting...

Architecture Views Illustrating the Service Automation Aspect of SOA

Science.gov (United States)

Gu, Qing; Cuadrado, Félix; Lago, Patricia; Duenãs, Juan C.

Earlier in this book, Chapter 8 provided a detailed analysis of service engineering, including a review of service engineering techniques and methodologies. This chapter is closely related to Chapter 8 as shows how such approaches can be used to develop a service, with particular emphasis on the identification of three views (the automation decision view, degree of service automation view and service automation related data view) that structure and ease elicitation and documentation of stakeholders' concerns. This is carried out through two large case studies to learn the industrial needs in illustrating services deployment and configuration automation. This set of views adds to the more traditional notations like UML, the visual power of attracting the attention of their users to the addressed concerns, and assist them in their work. This is especially crucial in service oriented architecting where service automation is highly demanded.

Distribution automation at BC Hydro : a case study

Energy Technology Data Exchange (ETDEWEB)

Siew, C. [BC Hydro, Vancouver, BC (Canada). Smart Grid Development Program

2009-07-01

This presentation discussed a distribution automation study conducted by BC Hydro to determine methods of improving grid performance by supporting intelligent transmission and distribution systems. The utility's smart grid program includes a number of utility-side and customer-side applications, including enabled demand response, microgrid, and operational efficiency applications. The smart grid program will improve reliability and power quality by 40 per cent, improve conservation and energy efficiency throughout the province, and provide enhanced customer service. Programs and initiatives currently underway at the utility include distribution management, smart metering, distribution automation, and substation automation programs. The utility's automation functionality will include fault interruption and locating, restoration capability, and restoration success. A decision support system has also been established to assist control room and field operating personnel with monitoring and control of the electric distribution system. Protection, control and monitoring (PCM) and volt VAR optimization upgrades are also planned. Reclosers are also being automated, and an automation guide has been developed for switches. tabs., figs.

Automated Resource Classifier for agglomerative functional ...

Indian Academy of Sciences (India)

2007-06-16

Jun 16, 2007 ... Automated resource; functional classification; integrative biology ... which is an open source software meeting the user requirements of flexibility. ... entries into any of the 7 basic non-overlapping functional classes: Cell wall, ...

Making progress with the automation of systematic reviews: principles of the International Collaboration for the Automation of Systematic Reviews (ICASR).

Science.gov (United States)

Beller, Elaine; Clark, Justin; Tsafnat, Guy; Adams, Clive; Diehl, Heinz; Lund, Hans; Ouzzani, Mourad; Thayer, Kristina; Thomas, James; Turner, Tari; Xia, Jun; Robinson, Karen; Glasziou, Paul

2018-05-19

Systematic reviews (SR) are vital to health care, but have become complicated and time-consuming, due to the rapid expansion of evidence to be synthesised. Fortunately, many tasks of systematic reviews have the potential to be automated or may be assisted by automation. Recent advances in natural language processing, text mining and machine learning have produced new algorithms that can accurately mimic human endeavour in systematic review activity, faster and more cheaply. Automation tools need to be able to work together, to exchange data and results. Therefore, we initiated the International Collaboration for the Automation of Systematic Reviews (ICASR), to successfully put all the parts of automation of systematic review production together. The first meeting was held in Vienna in October 2015. We established a set of principles to enable tools to be developed and integrated into toolkits.This paper sets out the principles devised at that meeting, which cover the need for improvement in efficiency of SR tasks, automation across the spectrum of SR tasks, continuous improvement, adherence to high quality standards, flexibility of use and combining components, the need for a collaboration and varied skills, the desire for open source, shared code and evaluation, and a requirement for replicability through rigorous and open evaluation.Automation has a great potential to improve the speed of systematic reviews. Considerable work is already being done on many of the steps involved in a review. The 'Vienna Principles' set out in this paper aim to guide a more coordinated effort which will allow the integration of work by separate teams and build on the experience, code and evaluations done by the many teams working across the globe.

Automated drawing generation system

International Nuclear Information System (INIS)

Yoshinaga, Toshiaki; Kawahata, Junichi; Yoshida, Naoto; Ono, Satoru

1991-01-01

Since automated CAD drawing generation systems still require human intervention, improvements were focussed on an interactive processing section (data input and correcting operation) which necessitates a vast amount of work. As a result, human intervention was eliminated, the original objective of a computerized system. This is the first step taken towards complete automation. The effects of development and commercialization of the system are as described below. (1) The interactive processing time required for generating drawings was improved. It was determined that introduction of the CAD system has reduced the time required for generating drawings. (2) The difference in skills between workers preparing drawings has been eliminated and the quality of drawings has been made uniform. (3) The extent of knowledge and experience demanded of workers has been reduced. (author)

Network-based automation for SMEs

DEFF Research Database (Denmark)

Parizi, Mohammad Shahabeddini; Radziwon, Agnieszka

2017-01-01

The implementation of appropriate automation concepts which increase productivity in Small and Medium Sized Enterprises (SMEs) requires a lot of effort, due to their limited resources. Therefore, it is strongly recommended for small firms to open up for the external sources of knowledge, which...... could be obtained through network interaction. Based on two extreme cases of SMEs representing low-tech industry and an in-depth analysis of their manufacturing facilities this paper presents how collaboration between firms embedded in a regional ecosystem could result in implementation of new...... with other members of the same regional ecosystem. The findings highlight two main automation related areas where manufacturing SMEs could leverage on external sources on knowledge – these are assistance in defining automation problem as well as appropriate solution and provider selection. Consequently...

Smart grids clouds, communications, open source, and automation

CERN Document Server

Bakken, David

2014-01-01

The utilization of sensors, communications, and computer technologies to create greater efficiency in the generation, transmission, distribution, and consumption of electricity will enable better management of the electric power system. As the use of smart grid technologies grows, utilities will be able to automate meter reading and billing and consumers will be more aware of their energy usage and the associated costs. The results will require utilities and their suppliers to develop new business models, strategies, and processes.With an emphasis on reducing costs and improving return on inve

The UK-DALE dataset, domestic appliance-level electricity demand and whole-house demand from five UK homes

Science.gov (United States)

Kelly, Jack; Knottenbelt, William

2015-03-01

Many countries are rolling out smart electricity meters. These measure a home’s total power demand. However, research into consumer behaviour suggests that consumers are best able to improve their energy efficiency when provided with itemised, appliance-by-appliance consumption information. Energy disaggregation is a computational technique for estimating appliance-by-appliance energy consumption from a whole-house meter signal. To conduct research on disaggregation algorithms, researchers require data describing not just the aggregate demand per building but also the ‘ground truth’ demand of individual appliances. In this context, we present UK-DALE: an open-access dataset from the UK recording Domestic Appliance-Level Electricity at a sample rate of 16 kHz for the whole-house and at 1/6 Hz for individual appliances. This is the first open access UK dataset at this temporal resolution. We recorded from five houses, one of which was recorded for 655 days, the longest duration we are aware of for any energy dataset at this sample rate. We also describe the low-cost, open-source, wireless system we built for collecting our dataset.

Automated rapid chemistry in heavy element research

International Nuclear Information System (INIS)

Schaedel, M.

1994-01-01

With the increasingly short half-lives of the heavy element isotopes in the transition region from the heaviest actinides to the transactinide elements the demand for automated rapid chemistry techniques is also increasing. Separation times of significantly less than one minute, high chemical yields, high repetition rates, and an adequate detection system are prerequisites for many successful experiments in this field. The development of techniques for separations in the gas phase and in the aqueous phase for applications of chemical or nuclear studies of the heaviest elements are briefly outlined. Typical examples of results obtained with automated techniques are presented for studies up to element 105, especially those obtained with the Automated Rapid Chemistry Apparatus, ARCA. The prospects to investigate the properties of even heavier elements with chemical techniques are discussed

Automated sampling and data processing derived from biomimetic membranes

DEFF Research Database (Denmark)

Perry, Mark; Vissing, Thomas; Boesen, P.

2009-01-01

data processing software to analyze and organize the large amounts of data generated. In this work, we developed an automated instrumental voltage clamp solution based on a custom-designed software controller application (the WaveManager), which enables automated on-line voltage clamp data acquisition...... applicable to long-time series experiments. We designed another software program for off-line data processing. The automation of the on-line voltage clamp data acquisition and off-line processing was furthermore integrated with a searchable database (DiscoverySheet (TM)) for efficient data management......Recent advances in biomimetic membrane systems have resulted in an increase in membrane lifetimes from hours to days and months. Long-lived membrane systems demand the development of both new automated monitoring equipment capable of measuring electrophysiological membrane characteristics and new...

Evaluating the Validity and Applicability of Automated Essay Scoring in Two Massive Open Online Courses

Directory of Open Access Journals (Sweden)

Erin Dawna Reilly

2014-11-01

Full Text Available The use of massive open online courses (MOOCs to expand students’ access to higher education has raised questions regarding the extent to which this course model can provide and assess authentic, higher level student learning. In response to this need, MOOC platforms have begun utilizing automated essay scoring (AES systems that allow students to engage in critical writing and free-response activities. However, there is a lack of research investigating the validity of such systems in MOOCs. This research examined the effectiveness of an AES tool to score writing assignments in two MOOCs. Results indicated that some significant differences existed between Instructor grading, AES-Holistic scores, and AES-Rubric Total scores within two MOOC courses. However, use of the AES system may still be useful given instructors’ assessment needs and intent. Findings from this research have implications for instructional technology administrators, educational designers, and instructors implementing AES learning activities in MOOC courses.

Automated evaluation of ultrasonic indications. State of the art -development trends. Pt. 1

International Nuclear Information System (INIS)

Hansch, M.K.T.; Stegemann, D.

1994-01-01

Future requirements of reliability and reproducibility in quality assurance demand computer evaluation of defect indications. The ultrasonic method with its large field of applications and a high potential for automation provides all preconditions for fully automated inspection. The survey proposes several desirable hardware improvements, data acquisition requirements and software configurations. (orig.) [de

Open-Source 3-D Platform for Low-Cost Scientific Instrument Ecosystem.

Science.gov (United States)

Zhang, C; Wijnen, B; Pearce, J M

2016-08-01

The combination of open-source software and hardware provides technically feasible methods to create low-cost, highly customized scientific research equipment. Open-source 3-D printers have proven useful for fabricating scientific tools. Here the capabilities of an open-source 3-D printer are expanded to become a highly flexible scientific platform. An automated low-cost 3-D motion control platform is presented that has the capacity to perform scientific applications, including (1) 3-D printing of scientific hardware; (2) laboratory auto-stirring, measuring, and probing; (3) automated fluid handling; and (4) shaking and mixing. The open-source 3-D platform not only facilities routine research while radically reducing the cost, but also inspires the creation of a diverse array of custom instruments that can be shared and replicated digitally throughout the world to drive down the cost of research and education further. © 2016 Society for Laboratory Automation and Screening.

OpenADR Open Source Toolkit: Developing Open Source Software for the Smart Grid

Energy Technology Data Exchange (ETDEWEB)

McParland, Charles

2011-02-01

Demand response (DR) is becoming an increasingly important part of power grid planning and operation. The advent of the Smart Grid, which mandates its use, further motivates selection and development of suitable software protocols to enable DR functionality. The OpenADR protocol has been developed and is being standardized to serve this goal. We believe that the development of a distributable, open source implementation of OpenADR will benefit this effort and motivate critical evaluation of its capabilities, by the wider community, for providing wide-scale DR services

Development and transport implications of automated vehicles in the Netherlands: Scenarios for 2030 and 2050

NARCIS (Netherlands)

Milakis, D.; Snelder, M.; Arem, B. van; Wee, B. van; Almeida Correia, G.H. de

2017-01-01

Automated driving technology is emerging. Yet, little is known in the literature about when automated vehicles will reach the market, how penetration rates will evolve and to what extent this new transport technology will affect transport demand and planning. This study uses scenario analysis to

Manual versus Automated Rodent Behavioral Assessment: Comparing Efficacy and Ease of Bederson and Garcia Neurological Deficit Scores to an Open Field Video-Tracking System

OpenAIRE

Fiona A. Desland; Aqeela Afzal; Zuha Warraich; J Mocco

2014-01-01

Animal models of stroke have been crucial in advancing our understanding of the pathophysiology of cerebral ischemia. Currently, the standards for determining neurological deficit in rodents are the Bederson and Garcia scales, manual assessments scoring animals based on parameters ranked on a narrow scale of severity. Automated open field analysis of a live-video tracking system that analyzes animal behavior may provide a more sensitive test. Results obtained from the manual Bederson and Garc...

AUTOMATING ASSET KNOWLEDGE WITH MTCONNECT.

Science.gov (United States)

Venkatesh, Sid; Ly, Sidney; Manning, Martin; Michaloski, John; Proctor, Fred

2016-01-01

In order to maximize assets, manufacturers should use real-time knowledge garnered from ongoing and continuous collection and evaluation of factory-floor machine status data. In discrete parts manufacturing, factory machine monitoring has been difficult, due primarily to closed, proprietary automation equipment that make integration difficult. Recently, there has been a push in applying the data acquisition concepts of MTConnect to the real-time acquisition of machine status data. MTConnect is an open, free specification aimed at overcoming the "Islands of Automation" dilemma on the shop floor. With automated asset analysis, manufacturers can improve production to become lean, efficient, and effective. The focus of this paper will be on the deployment of MTConnect to collect real-time machine status to automate asset management. In addition, we will leverage the ISO 22400 standard, which defines an asset and quantifies asset performance metrics. In conjunction with these goals, the deployment of MTConnect in a large aerospace manufacturing facility will be studied with emphasis on asset management and understanding the impact of machine Overall Equipment Effectiveness (OEE) on manufacturing.

Decon2LS: An open-source software package for automated processing and visualization of high resolution mass spectrometry data.

Science.gov (United States)

Jaitly, Navdeep; Mayampurath, Anoop; Littlefield, Kyle; Adkins, Joshua N; Anderson, Gordon A; Smith, Richard D

2009-03-17

Data generated from liquid chromatography coupled to high-resolution mass spectrometry (LC-MS)-based studies of a biological sample can contain large amounts of biologically significant information in the form of proteins, peptides, and metabolites. Interpreting this data involves inferring the masses and abundances of biomolecules injected into the instrument. Because of the inherent complexity of mass spectral patterns produced by these biomolecules, the analysis is significantly enhanced by using visualization capabilities to inspect and confirm results. In this paper we describe Decon2LS, an open-source software package for automated processing and visualization of high-resolution MS data. Drawing extensively on algorithms developed over the last ten years for ICR2LS, Decon2LS packages the algorithms as a rich set of modular, reusable processing classes for performing diverse functions such as reading raw data, routine peak finding, theoretical isotope distribution modelling, and deisotoping. Because the source code is openly available, these functionalities can now be used to build derivative applications in relatively fast manner. In addition, Decon2LS provides an extensive set of visualization tools, such as high performance chart controls. With a variety of options that include peak processing, deisotoping, isotope composition, etc, Decon2LS supports processing of multiple raw data formats. Deisotoping can be performed on an individual scan, an individual dataset, or on multiple datasets using batch processing. Other processing options include creating a two dimensional view of mass and liquid chromatography (LC) elution time features, generating spectrum files for tandem MS data, creating total intensity chromatograms, and visualizing theoretical peptide profiles. Application of Decon2LS to deisotope different datasets obtained across different instruments yielded a high number of features that can be used to identify and quantify peptides in the

Development and transport implications of automated vehicles in the Netherlands : Scenarios for 2030 and 2050

NARCIS (Netherlands)

Milakis, D.; Snelder, M.; van Arem, B.; van Wee, G.P.; Homem de Almeida Correia, G.

2017-01-01

Automated driving technology is emerging. Yet, little is known in the literature about when automated vehicles will reach the market, how penetration rates will evolve and to what extent this new transport technology will affect transport demand and planning. This study uses scenario analysis to

Design of an optimal automation system : Finding a balance between a human's task engagement and exhaustion

NARCIS (Netherlands)

Klein, Michel; van Lambalgen, Rianne

2011-01-01

In demanding tasks, human performance can seriously degrade as a consequence of increased workload and limited resources. In such tasks it is very important to maintain an optimal performance quality, therefore automation assistance is required. On the other hand, automation can also impose

EDISON - research programme on electric distribution automation 1993-1997. Final report 1997

Energy Technology Data Exchange (ETDEWEB)

Lehtonen, M [ed.; VTT Energy, Espoo (Finland). Energy Systems

1998-08-01

This report comprises a summary of the results of the five year research programme EDISON on distribution automation in Finnish utilities. The research programme (1993 - 1997) was conducted under the leadership of VTT Energy, in cooperation with universities, distribution companies and the manufacturing industry. The main part of the funding has been from the Technology Development Centre TEKES and from manufacturing companies. The goal of the research programme was to develop a new scheme for a complete distribution automation system, including the network automation, computer systems in the control centre and the customer associated automation functions. In addition, the techniques for demand side management were developed and integrated into the automation scheme. The final aim was to demonstrate the automation functions and systems of the scheme in real distribution systems. The results of nineteen projects are given in this report

Energy Assessment of Automated Mobility Districts

Energy Technology Data Exchange (ETDEWEB)

Chen, Yuche [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

2017-08-03

Automated vehicles (AVs) are increasingly being discussed as the basis for on-demand mobility services, introducing a new paradigm in which a fleet of AVs displace private automobiles for day-to-day travel in dense activity districts. This project examines such a concept to displace privately owned automobiles within a region containing dense activity generators (jobs, retail, entertainment, etc.), referred to as an automated mobility district (AMDs). The project reviews several such districts including airport, college campuses, business parks, downtown urban cores, and military bases, with examples of previous attempts to meet the mobility needs apart from private automobiles, some with automated technology and others with more traditional transit based solutions. The issues and benefits of AMDs are framed within the perspective of intra-district, inter-district, and border issues, and the requirements for a modeling framework are identified to adequately reflect the breadth of mobility, energy, and emissions impact anticipated with AMDs.

Evaluation of Representative Smart Grid Investment Project Technologies: Demand Response

Energy Technology Data Exchange (ETDEWEB)

Fuller, Jason C.; Prakash Kumar, Nirupama; Bonebrake, Christopher A.

2012-02-14

This document is one of a series of reports estimating the benefits of deploying technologies similar to those implemented on the Smart Grid Investment Grant (SGIG) projects. Four technical reports cover the various types of technologies deployed in the SGIG projects, distribution automation, demand response, energy storage, and renewables integration. A fifth report in the series examines the benefits of deploying these technologies on a national level. This technical report examines the impacts of a limited number of demand response technologies and implementations deployed in the SGIG projects.

Eye metrics for task-dependent automation

NARCIS (Netherlands)

Imants, P.; Greef, T.E. de

2014-01-01

Future air traffic is expected to grow increasingly, opening up a gap for task dependent automation and adaptive interfaces, helping the Air Traffic Controller to cope with fluctuating workloads. One of the challenging factors in the application of such intelligent systems concerns the question what

Eye Metrics for Task-Dependent Automation

NARCIS (Netherlands)

Imants, P.; de Greef, T.F.A.

2014-01-01

Future air traffic is expected to grow increasingly, opening up a gap for task dependent automation and adaptive interfaces, helping the Air Traffic Controller to cope with fluctuating workloads. One of the challenging factors in the application of such intelligent systems concerns the question what

Automated energy conserving cover for refrigerated cabinet access openings

International Nuclear Information System (INIS)

Ibrahim, F.F.

1984-01-01

An automatically operated flexible barrier cover for the access openings of refrigerated display cabinets. The barrier cover limits the contact between the refrigerated air within the cabinet and the ambient air. The barrier cover can be moved over the access opening during non-customer use time periods when the retail food outlet is closed. The barrier cover can be arranged as a unitary assembly which can be manufactured and sold separately from the display cabinet as a retrofit device to effect energy savings. The flexible barrier cover can be stored in a reeled-up position or can be arranged as a folded flexible barrier which can be fanned out across the access opening. Various traction means are provided for moving the flexible barrier across the access opening

The Rise of the Machines: Automation, Horizontal Innovation and Income Inequality

OpenAIRE

Morten Olsen; David Hemous

2014-01-01

We construct an endogenous growth model of directed technical change with automation (the introduction of machines which replace low-skill labor and complement high-skill labor) and horizontal innovation (the introduction of new products, which increases demand for both types of labor). For general processes of technical change, we demonstrate that although low-skill wages can drop during periods of increasing automation intensity, the asymptotic growth rate is weakly positive --- though lowe...

OpenChrom: a cross-platform open source software for the mass spectrometric analysis of chromatographic data.

Science.gov (United States)

Wenig, Philip; Odermatt, Juergen

2010-07-30

Today, data evaluation has become a bottleneck in chromatographic science. Analytical instruments equipped with automated samplers yield large amounts of measurement data, which needs to be verified and analyzed. Since nearly every GC/MS instrument vendor offers its own data format and software tools, the consequences are problems with data exchange and a lack of comparability between the analytical results. To challenge this situation a number of either commercial or non-profit software applications have been developed. These applications provide functionalities to import and analyze several data formats but have shortcomings in terms of the transparency of the implemented analytical algorithms and/or are restricted to a specific computer platform. This work describes a native approach to handle chromatographic data files. The approach can be extended in its functionality such as facilities to detect baselines, to detect, integrate and identify peaks and to compare mass spectra, as well as the ability to internationalize the application. Additionally, filters can be applied on the chromatographic data to enhance its quality, for example to remove background and noise. Extended operations like do, undo and redo are supported. OpenChrom is a software application to edit and analyze mass spectrometric chromatographic data. It is extensible in many different ways, depending on the demands of the users or the analytical procedures and algorithms. It offers a customizable graphical user interface. The software is independent of the operating system, due to the fact that the Rich Client Platform is written in Java. OpenChrom is released under the Eclipse Public License 1.0 (EPL). There are no license constraints regarding extensions. They can be published using open source as well as proprietary licenses. OpenChrom is available free of charge at http://www.openchrom.net.

Performansi Video on Demand (VOD) Pada Virtual Private Network (VPN) Menggunakan OpenVPN

OpenAIRE

Priyambudi, Henry Okta

2013-01-01

Multimedia streaming menggunakanmedia video, sebagai cara penyampaian informasi yanglebih baik dibandingkan dengan teks atau suara. Salahsatu jenis multimedia streaming adalah Video OnDemand (VOD). Pada sistem video on demand, file videotelah disimpan terlebih dahulu di dalam server. Clientmerequest file video yang diinginkan dan prosesstreaming dapat dilakukan.. Salah satu kelemahan darivideo on demand adalah tidak ada sistem authentifikasipada client. Setiap client dapat melakukan streaming...

On the emergence of pervasive home automation

DEFF Research Database (Denmark)

Torbensen, Rune Sonnich

2012-01-01

bridges and expandable via USB modules so that new data-communication technologies can be connected to cover the whole residence. An ’IHAP ready’ flexible communication software framework that supports wireless end-device development is proposed. The idea is to bootstrap this new market with open source...... end-devices via the Open Device Service Description Language, which employs abstract service types to describe transformations to the simple end-device application protocols used in home automation. A security system called Trusted Domain grants access for remote control of home automation devices...... by smartphones, M2M applications, and service providers. These Internet nodes and home gateways become the trusted members of a home network capable of spanning several network segments. To include new members, both locally and remotely, a new user-friendly method for establishing trust between remote devices...

Space station automation study. Automation requirements derived from space manufacturing concepts. Volume 1: Executive summary

Science.gov (United States)

1984-01-01

The two manufacturing concepts developed represent innovative, technologically advanced manufacturing schemes. The concepts were selected to facilitate an in depth analysis of manufacturing automation requirements in the form of process mechanization, teleoperation and robotics, and artificial intelligence. While the cost effectiveness of these facilities has not been analyzed as part of this study, both appear entirely feasible for the year 2000 timeframe. The growing demand for high quality gallium arsenide microelectronics may warrant the ventures.

Why Are There Still So Many Jobs? The History and Future of Workplace Automation

OpenAIRE

David H. Autor

2015-01-01

In this essay, I begin by identifying the reasons that automation has not wiped out a majority of jobs over the decades and centuries. Automation does indeed substitute for labor—as it is typically intended to do. However, automation also complements labor, raises output in ways that leads to higher demand for labor, and interacts with adjustments in labor supply. Journalists and even expert commentators tend to overstate the extent of machine substitution for human labor and ignore the stron...

Automation, consolidation, and integration in autoimmune diagnostics.

Science.gov (United States)

Tozzoli, Renato; D'Aurizio, Federica; Villalta, Danilo; Bizzaro, Nicola

2015-08-01

Over the past two decades, we have witnessed an extraordinary change in autoimmune diagnostics, characterized by the progressive evolution of analytical technologies, the availability of new tests, and the explosive growth of molecular biology and proteomics. Aside from these huge improvements, organizational changes have also occurred which brought about a more modern vision of the autoimmune laboratory. The introduction of automation (for harmonization of testing, reduction of human error, reduction of handling steps, increase of productivity, decrease of turnaround time, improvement of safety), consolidation (combining different analytical technologies or strategies on one instrument or on one group of connected instruments) and integration (linking analytical instruments or group of instruments with pre- and post-analytical devices) opened a new era in immunodiagnostics. In this article, we review the most important changes that have occurred in autoimmune diagnostics and present some models related to the introduction of automation in the autoimmunology laboratory, such as automated indirect immunofluorescence and changes in the two-step strategy for detection of autoantibodies; automated monoplex immunoassays and reduction of turnaround time; and automated multiplex immunoassays for autoantibody profiling.

Going Open: Does it Mean Giving Away Control?

Directory of Open Access Journals (Sweden)

Michael Weiss

2013-01-01

Full Text Available Open source software has evolved from being an effort driven by a collective of volunteers to become an integral part of commercial software. Constant demands for new features besides maintaining product quality made companies seek open source as an answer for these demands. These growing demands brought with them control of quality, architecture, contribution management, and community management. This article explores the governance strategies adopted by open source software projects to manage the quality of complements (such as plug-ins that extend a platform's functionality developed by community members outside the core team. The outcomes of the research contribute to our understanding of the strategies followed by different open source platform owners (the open source project initiators to manage external innovation in the case of platform extensions in two areas: i governance models and ii regulatory tools.

A versatile and low-cost open source pipetting robot for automation of toxicological and ecotoxicological bioassays.

Science.gov (United States)

Steffens, Sebastian; Nüßer, Leonie; Seiler, Thomas-Benjamin; Ruchter, Nadine; Schumann, Mark; Döring, Ricarda; Cofalla, Catrina; Ostfeld, Avi; Salomons, Elad; Schüttrumpf, Holger; Hollert, Henner; Brinkmann, Markus

2017-01-01

In the past decades, bioassays and whole-organism bioassay have become important tools not only in compliance testing of industrial chemicals and plant protection products, but also in the monitoring of environmental quality. With few exceptions, such test systems are discontinuous. They require exposure of the biological test material in small units, such as multiwell plates, during prolonged incubation periods, and do not allow online read-outs. It is mostly due to these shortcomings that applications in continuous monitoring of, e.g., drinking or surface water quality are largely missing. We propose the use of pipetting robots that can be used to automatically exchange samples in multiwell plates with fresh samples in a semi-static manner, as a potential solution to overcome these limitations. In this study, we developed a simple and low-cost, versatile pipetting robot constructed partly using open-source hardware that has a small footprint and can be used for online monitoring of water quality by means of an automated whole-organism bioassay. We tested its precision in automated 2-fold dilution series and used it for exposure of zebrafish embryos (Danio rerio)-a common model species in ecotoxicology-to cadmium chloride and permethrin. We found that, compared to conventional static or semi-static exposure scenarios, effects of the two chemicals in zebrafish embryos generally occurred at lower concentrations, and analytically verified that the increased frequency of media exchange resulted in a greater availability of the chemical. In combination with advanced detection systems this custom-made pipetting robot has the potential to become a valuable tool in future monitoring strategies for drinking and surface water.

A versatile and low-cost open source pipetting robot for automation of toxicological and ecotoxicological bioassays.

Directory of Open Access Journals (Sweden)

Sebastian Steffens

Full Text Available In the past decades, bioassays and whole-organism bioassay have become important tools not only in compliance testing of industrial chemicals and plant protection products, but also in the monitoring of environmental quality. With few exceptions, such test systems are discontinuous. They require exposure of the biological test material in small units, such as multiwell plates, during prolonged incubation periods, and do not allow online read-outs. It is mostly due to these shortcomings that applications in continuous monitoring of, e.g., drinking or surface water quality are largely missing. We propose the use of pipetting robots that can be used to automatically exchange samples in multiwell plates with fresh samples in a semi-static manner, as a potential solution to overcome these limitations. In this study, we developed a simple and low-cost, versatile pipetting robot constructed partly using open-source hardware that has a small footprint and can be used for online monitoring of water quality by means of an automated whole-organism bioassay. We tested its precision in automated 2-fold dilution series and used it for exposure of zebrafish embryos (Danio rerio-a common model species in ecotoxicology-to cadmium chloride and permethrin. We found that, compared to conventional static or semi-static exposure scenarios, effects of the two chemicals in zebrafish embryos generally occurred at lower concentrations, and analytically verified that the increased frequency of media exchange resulted in a greater availability of the chemical. In combination with advanced detection systems this custom-made pipetting robot has the potential to become a valuable tool in future monitoring strategies for drinking and surface water.

Collaborations in Open Learning Environments

NARCIS (Netherlands)

Spoelstra, Howard

2015-01-01

This thesis researches automated services for professionals aiming at starting collaborative learning projects in open learning environments, such as MOOCs. It investigates the theoretical backgrounds of team formation for collaborative learning. Based on the outcomes, a model is developed

Automated data collection based on RoboDiff at the ESRF beamline MASSIF-1

Energy Technology Data Exchange (ETDEWEB)

Nurizzo, Didier, E-mail: Didier.nurizzo@esrf.fr; Guichard, Nicolas; McSweeney, Sean; Theveneau, Pascal; Guijarro, Matias; Svensson, Olof; Mueller-Dieckmann, Christoph; Leonard, Gordon [ESRF, The European Synchrotron, 71, Avenue des Martyrs,CS 40220, 38043 Grenoble (France); Bowler, Matthew W. [EMBL Grenoble Outstation, 71 Avenue des Martyrs, CS90181, 38042 Grenoble Cedex 9 (France)

2016-07-27

The European Synchrotron Radiation Facility has a long standing history in the automation of experiments in Macromolecular Crystallography. MASSIF-1 (Massively Automated Sample Screening and evaluation Integrated Facility), a beamline constructed as part of the ESRF Upgrade Phase I program, has been open to the external user community since July 2014 and offers a unique completely automated data collection service to both academic and industrial structural biologists.

Robotics and Office Automation: Implications for Vocational Education.

Science.gov (United States)

Fraser, Jeannette L.; And Others

Directed to individuals responsible for program planning in vocational education at the national and state levels, this review and synthesis of technological developments in robotics and office automation identifies the potential demand for skills in these technologies in the next 3 to 5 years. The procedures for the study are described in the…

A time-use model for the automated vehicle-era

NARCIS (Netherlands)

Pudāne, Baiba; Molin, Eric J.E.; Arentze, Theo A.; Maknoon, Yousef; Chorus, Caspar G.

2018-01-01

Automated Vehicles (AVs) offer their users a possibility to perform new non-driving activities while being on the way. The effects of this opportunity on travel choices and travel demand have mostly been conceptualised and modelled via a reduced penalty associated with (in-vehicle) travel time. This

A Time-use Model for the Automated Vehicle-era

NARCIS (Netherlands)

Pudane, B.; Molin, E.J.E.; Arentze, TA; Maknoon, M.Y.; Chorus, C.G.

2018-01-01

Automated Vehicles (AVs) offer their users a possibility to perform new non-driving activities while being on the way. The effects of this opportunity on travel choices and travel demand have mostly been conceptualised and modelled via a reduced penalty associated with (in-vehicle) travel time. This

Flexible automated manufacturing for SMEs

DEFF Research Database (Denmark)

Grube Hansen, David; Bilberg, Arne; Madsen, Erik Skov

2017-01-01

SMEs are in general highly flexible and agile in order to accommodate the customer demands in the paradigm of High Mix-Low Volume manufacturing. The flexibility and agility have mainly been enabled by manual labor, but as we are entering the technology and data driven fourth industrial revolution......, where augmented operators and machines work in cooperation in a highly flexible and productive manufacturing system both an opportunity and a need has raised for developing highly flexible and efficient automation....

A model based message passing approach for flexible and scalable home automation controllers

Energy Technology Data Exchange (ETDEWEB)

Bienhaus, D. [INNIAS GmbH und Co. KG, Frankenberg (Germany); David, K.; Klein, N.; Kroll, D. [ComTec Kassel Univ., SE Kassel Univ. (Germany); Heerdegen, F.; Jubeh, R.; Zuendorf, A. [Kassel Univ. (Germany). FG Software Engineering; Hofmann, J. [BSC Computer GmbH, Allendorf (Germany)

2012-07-01

There is a large variety of home automation systems that are largely proprietary systems from different vendors. In addition, the configuration and administration of home automation systems is frequently a very complex task especially, if more complex functionality shall be achieved. Therefore, an open model for home automation was developed that is especially designed for easy integration of various home automation systems. This solution also provides a simple modeling approach that is inspired by typical home automation components like switches, timers, etc. In addition, a model based technology to achieve rich functionality and usability was implemented. (orig.)

Automated sampling and data processing derived from biomimetic membranes

International Nuclear Information System (INIS)

Perry, M; Vissing, T; Hansen, J S; Nielsen, C H; Boesen, T P; Emneus, J

2009-01-01

Recent advances in biomimetic membrane systems have resulted in an increase in membrane lifetimes from hours to days and months. Long-lived membrane systems demand the development of both new automated monitoring equipment capable of measuring electrophysiological membrane characteristics and new data processing software to analyze and organize the large amounts of data generated. In this work, we developed an automated instrumental voltage clamp solution based on a custom-designed software controller application (the WaveManager), which enables automated on-line voltage clamp data acquisition applicable to long-time series experiments. We designed another software program for off-line data processing. The automation of the on-line voltage clamp data acquisition and off-line processing was furthermore integrated with a searchable database (DiscoverySheet(TM)) for efficient data management. The combined solution provides a cost efficient and fast way to acquire, process and administrate large amounts of voltage clamp data that may be too laborious and time consuming to handle manually. (communication)

Automated sampling and data processing derived from biomimetic membranes

Energy Technology Data Exchange (ETDEWEB)

Perry, M; Vissing, T; Hansen, J S; Nielsen, C H [Aquaporin A/S, Diplomvej 377, DK-2800 Kgs. Lyngby (Denmark); Boesen, T P [Xefion ApS, Kildegaardsvej 8C, DK-2900 Hellerup (Denmark); Emneus, J, E-mail: Claus.Nielsen@fysik.dtu.d [DTU Nanotech, Technical University of Denmark, DK-2800 Kgs. Lyngby (Denmark)

2009-12-15

Recent advances in biomimetic membrane systems have resulted in an increase in membrane lifetimes from hours to days and months. Long-lived membrane systems demand the development of both new automated monitoring equipment capable of measuring electrophysiological membrane characteristics and new data processing software to analyze and organize the large amounts of data generated. In this work, we developed an automated instrumental voltage clamp solution based on a custom-designed software controller application (the WaveManager), which enables automated on-line voltage clamp data acquisition applicable to long-time series experiments. We designed another software program for off-line data processing. The automation of the on-line voltage clamp data acquisition and off-line processing was furthermore integrated with a searchable database (DiscoverySheet(TM)) for efficient data management. The combined solution provides a cost efficient and fast way to acquire, process and administrate large amounts of voltage clamp data that may be too laborious and time consuming to handle manually. (communication)

Point-of-Care Test Equipment for Flexible Laboratory Automation.

Science.gov (United States)

You, Won Suk; Park, Jae Jun; Jin, Sung Moon; Ryew, Sung Moo; Choi, Hyouk Ryeol

2014-08-01

Blood tests are some of the core clinical laboratory tests for diagnosing patients. In hospitals, an automated process called total laboratory automation, which relies on a set of sophisticated equipment, is normally adopted for blood tests. Noting that the total laboratory automation system typically requires a large footprint and significant amount of power, slim and easy-to-move blood test equipment is necessary for specific demands such as emergency departments or small-size local clinics. In this article, we present a point-of-care test system that can provide flexibility and portability with low cost. First, the system components, including a reagent tray, dispensing module, microfluidic disk rotor, and photometry scanner, and their functions are explained. Then, a scheduler algorithm to provide a point-of-care test platform with an efficient test schedule to reduce test time is introduced. Finally, the results of diagnostic tests are presented to evaluate the system. © 2014 Society for Laboratory Automation and Screening.

EDISON - research programme on electricity distribution automation 1993-1997. Interim report 1995

Energy Technology Data Exchange (ETDEWEB)

Lehtonen, M. [ed.] [VTT Energy, Espoo (Finland). Energy Systems

1996-12-31

The report comprises a summary of the results of the first three years of the research programme EDISON on distribution automation in Finnish electrical utilities. The five year research programme (1993-1997) is conducted under the leadership of VTT Energy, in cooperation with universities, distribution companies and the manufacturing industry. The main part of funding is from the Technology Development Centre (Tekes) and from manufacturing companies. The goal of the research programme is to develop a new scheme for a complete distribution automation system, including the network automation, computer systems in the control centre and the customer automation functions. In addition, the techniques for demand side management are developed and integrated into the automation scheme. The final aim is to demonstrate the automation functions and systems of the scheme in real distribution systems. The results of thirteen projects are now given. These results should be considered intermediate, since most projects will be continued in 1996. (orig.)

EDISON - research programme on electricity distribution automation 1993-1997. Interim report 1996

Energy Technology Data Exchange (ETDEWEB)

Lehtonen, M. [ed.] [VTT Energy, Espoo (Finland). Energy Systems

1997-12-31

The report comprises a summary of the results of the first four years of the research programme EDISON on distribution automation in Finnish utilities. The five year research programme (1993-1997) is conducted under the leadership of VTT Energy, in cooperation with universities, distribution companies and the manufacturing industry. The main part of the funding is from the Technology Development Centre TEKES and from manufacturing companies. The goal of the research programme is to develop a new scheme for a complete distribution automation system, including the network automation, computer systems in the control centre and the customer associated automation functions. In addition, the techniques for demand side management are developed and integrated into the automation scheme. The final aim is to demonstrate the automation functions and systems of the scheme in real distribution systems. The results of fifteen projects are now given. These results should be considered intermediate, since most projects will be continued in 1997. (orig.) 43 refs.

EDISON - research programme on electricity distribution automation 1993-1997. Interim report 1995

Energy Technology Data Exchange (ETDEWEB)

Lehtonen, M [ed.; VTT Energy, Espoo (Finland). Energy Systems

1997-12-31

The report comprises a summary of the results of the first three years of the research programme EDISON on distribution automation in Finnish electrical utilities. The five year research programme (1993-1997) is conducted under the leadership of VTT Energy, in cooperation with universities, distribution companies and the manufacturing industry. The main part of funding is from the Technology Development Centre (Tekes) and from manufacturing companies. The goal of the research programme is to develop a new scheme for a complete distribution automation system, including the network automation, computer systems in the control centre and the customer automation functions. In addition, the techniques for demand side management are developed and integrated into the automation scheme. The final aim is to demonstrate the automation functions and systems of the scheme in real distribution systems. The results of thirteen projects are now given. These results should be considered intermediate, since most projects will be continued in 1996. (orig.)

Decon2LS: An open-source software package for automated processing and visualization of high resolution mass spectrometry data

Directory of Open Access Journals (Sweden)

Anderson Gordon A

2009-03-01

Full Text Available Abstract Background Data generated from liquid chromatography coupled to high-resolution mass spectrometry (LC-MS-based studies of a biological sample can contain large amounts of biologically significant information in the form of proteins, peptides, and metabolites. Interpreting this data involves inferring the masses and abundances of biomolecules injected into the instrument. Because of the inherent complexity of mass spectral patterns produced by these biomolecules, the analysis is significantly enhanced by using visualization capabilities to inspect and confirm results. In this paper we describe Decon2LS, an open-source software package for automated processing and visualization of high-resolution MS data. Drawing extensively on algorithms developed over the last ten years for ICR2LS, Decon2LS packages the algorithms as a rich set of modular, reusable processing classes for performing diverse functions such as reading raw data, routine peak finding, theoretical isotope distribution modelling, and deisotoping. Because the source code is openly available, these functionalities can now be used to build derivative applications in relatively fast manner. In addition, Decon2LS provides an extensive set of visualization tools, such as high performance chart controls. Results With a variety of options that include peak processing, deisotoping, isotope composition, etc, Decon2LS supports processing of multiple raw data formats. Deisotoping can be performed on an individual scan, an individual dataset, or on multiple datasets using batch processing. Other processing options include creating a two dimensional view of mass and liquid chromatography (LC elution time features, generating spectrum files for tandem MS data, creating total intensity chromatograms, and visualizing theoretical peptide profiles. Application of Decon2LS to deisotope different datasets obtained across different instruments yielded a high number of features that can be used to

Supply-demand controls the futures

International Nuclear Information System (INIS)

Brown, D.

1991-01-01

This paper briefly discusses the futures market of petroleum and explains how futures operate. The purpose of the paper is to demonstrate that oil futures markets does no determine energy prices - it merely reflects the prices recorded through trades made in an open marketplace. A futures contract is an agreement between a buyer and a seller at a price that seems fair to both. High demand from buyers can push prices up; low demand or a willingness to sell pushes prices down. As a result, supply and demand control the futures exchange and not vice-versa. The paper goes on to explain some basic principals of the futures market including the differences between hedging and speculating on prices and marketing strategy

Automics: an integrated platform for NMR-based metabonomics spectral processing and data analysis

Directory of Open Access Journals (Sweden)

Qu Lijia

2009-03-01

Full Text Available Abstract Background Spectral processing and post-experimental data analysis are the major tasks in NMR-based metabonomics studies. While there are commercial and free licensed software tools available to assist these tasks, researchers usually have to use multiple software packages for their studies because software packages generally focus on specific tasks. It would be beneficial to have a highly integrated platform, in which these tasks can be completed within one package. Moreover, with open source architecture, newly proposed algorithms or methods for spectral processing and data analysis can be implemented much more easily and accessed freely by the public. Results In this paper, we report an open source software tool, Automics, which is specifically designed for NMR-based metabonomics studies. Automics is a highly integrated platform that provides functions covering almost all the stages of NMR-based metabonomics studies. Automics provides high throughput automatic modules with most recently proposed algorithms and powerful manual modules for 1D NMR spectral processing. In addition to spectral processing functions, powerful features for data organization, data pre-processing, and data analysis have been implemented. Nine statistical methods can be applied to analyses including: feature selection (Fisher's criterion, data reduction (PCA, LDA, ULDA, unsupervised clustering (K-Mean and supervised regression and classification (PLS/PLS-DA, KNN, SIMCA, SVM. Moreover, Automics has a user-friendly graphical interface for visualizing NMR spectra and data analysis results. The functional ability of Automics is demonstrated with an analysis of a type 2 diabetes metabolic profile. Conclusion Automics facilitates high throughput 1D NMR spectral processing and high dimensional data analysis for NMR-based metabonomics applications. Using Automics, users can complete spectral processing and data analysis within one software package in most cases

Automics: an integrated platform for NMR-based metabonomics spectral processing and data analysis.

Science.gov (United States)

Wang, Tao; Shao, Kang; Chu, Qinying; Ren, Yanfei; Mu, Yiming; Qu, Lijia; He, Jie; Jin, Changwen; Xia, Bin

2009-03-16

Spectral processing and post-experimental data analysis are the major tasks in NMR-based metabonomics studies. While there are commercial and free licensed software tools available to assist these tasks, researchers usually have to use multiple software packages for their studies because software packages generally focus on specific tasks. It would be beneficial to have a highly integrated platform, in which these tasks can be completed within one package. Moreover, with open source architecture, newly proposed algorithms or methods for spectral processing and data analysis can be implemented much more easily and accessed freely by the public. In this paper, we report an open source software tool, Automics, which is specifically designed for NMR-based metabonomics studies. Automics is a highly integrated platform that provides functions covering almost all the stages of NMR-based metabonomics studies. Automics provides high throughput automatic modules with most recently proposed algorithms and powerful manual modules for 1D NMR spectral processing. In addition to spectral processing functions, powerful features for data organization, data pre-processing, and data analysis have been implemented. Nine statistical methods can be applied to analyses including: feature selection (Fisher's criterion), data reduction (PCA, LDA, ULDA), unsupervised clustering (K-Mean) and supervised regression and classification (PLS/PLS-DA, KNN, SIMCA, SVM). Moreover, Automics has a user-friendly graphical interface for visualizing NMR spectra and data analysis results. The functional ability of Automics is demonstrated with an analysis of a type 2 diabetes metabolic profile. Automics facilitates high throughput 1D NMR spectral processing and high dimensional data analysis for NMR-based metabonomics applications. Using Automics, users can complete spectral processing and data analysis within one software package in most cases. Moreover, with its open source architecture, interested

Strategies for Demand Response in Commercial Buildings

Energy Technology Data Exchange (ETDEWEB)

Watson, David S.; Kiliccote, Sila; Motegi, Naoya; Piette, Mary Ann

2006-06-20

This paper describes strategies that can be used in commercial buildings to temporarily reduce electric load in response to electric grid emergencies in which supplies are limited or in response to high prices that would be incurred if these strategies were not employed. The demand response strategies discussed herein are based on the results of three years of automated demand response field tests in which 28 commercial facilities with an occupied area totaling over 11 million ft{sup 2} were tested. Although the demand response events in the field tests were initiated remotely and performed automatically, the strategies used could also be initiated by on-site building operators and performed manually, if desired. While energy efficiency measures can be used during normal building operations, demand response measures are transient; they are employed to produce a temporary reduction in demand. Demand response strategies achieve reductions in electric demand by temporarily reducing the level of service in facilities. Heating ventilating and air conditioning (HVAC) and lighting are the systems most commonly adjusted for demand response in commercial buildings. The goal of demand response strategies is to meet the electric shed savings targets while minimizing any negative impacts on the occupants of the buildings or the processes that they perform. Occupant complaints were minimal in the field tests. In some cases, ''reductions'' in service level actually improved occupant comfort or productivity. In other cases, permanent improvements in efficiency were discovered through the planning and implementation of ''temporary'' demand response strategies. The DR strategies that are available to a given facility are based on factors such as the type of HVAC, lighting and energy management and control systems (EMCS) installed at the site.

Automating radiochemistry: Considerations for commerical suppliers of devices

International Nuclear Information System (INIS)

Schmidt, D.G.

1993-01-01

The fundamental decision to automate a particular radiochemical synthesis for in house use depends primarily on the demand for the compound and the total number of studies to be carried out with that compound. For a commercial supplier of automated chemistry systems, much more goes in to the decision to design, develop and produce a particular automated chemistry system. There is a dramatic difference in design effort between an industrial environment and an academic environment. An in house system must be built only once and needs only to incrementally simplify the synthesis process. A commercial product must: have reasonable manufacturing costs; be easy to use; be aesthetically pleasing; be easy to install and service; be functionally integral with other equipment sold by the manufacturer; be marketable within the regulatory environment; address radiation safety issues. This paper discusses issues that guide commercial suppliers in the formation of their product lines

Evaluate the interactive and reusable service in adaptive on demand applications

OpenAIRE

Hwang , Chyi-Wen

2007-01-01

In this paper, the researcher based on the open platforms and tools for personalized learning idea, with the “ Interactive & reusable” function in UI design model, directly dealing with Knowledge on demand (KOD) service from the aspect-oriented and object-oriented issue. Moreover, to propose the KOD combine with VOD (Video on Demand); AOD (Audio on Demand); COD (Course on Demand) and IOD (Information on Demand in Global index searching) in diversity of hypermedia metadata.

Steam generator automated eddy current data analysis: A benchmarking study. Final report

International Nuclear Information System (INIS)

Brown, S.D.

1998-12-01

The eddy current examination of steam generator tubes is a very demanding process. Challenges include: complex signal analysis, massive amount of data to be reviewed quickly with extreme precision and accuracy, shortages of data analysts during peak periods, and the desire to reduce examination costs. One method to address these challenges is by incorporating automation into the data analysis process. Specific advantages, which automated data analysis has the potential to provide, include the ability to analyze data more quickly, consistently and accurately than can be performed manually. Also, automated data analysis can potentially perform the data analysis function with significantly smaller levels of analyst staffing. Despite the clear advantages that an automated data analysis system has the potential to provide, no automated system has been produced and qualified that can perform all of the functions that utility engineers demand. This report investigates the current status of automated data analysis, both at the commercial and developmental level. A summary of the various commercial and developmental data analysis systems is provided which includes the signal processing methodologies used and, where available, the performance data obtained for each system. Also, included in this report is input from seventeen research organizations regarding the actions required and obstacles to be overcome in order to bring automatic data analysis from the laboratory into the field environment. In order to provide assistance with ongoing and future research efforts in the automated data analysis arena, the most promising approaches to signal processing are described in this report. These approaches include: wavelet applications, pattern recognition, template matching, expert systems, artificial neural networks, fuzzy logic, case based reasoning and genetic algorithms. Utility engineers and NDE researchers can use this information to assist in developing automated data

Automation of management processes as a factor in the emergence of the jobs of the future

Directory of Open Access Journals (Sweden)

Veretehin Vladislav Vadimovich

2016-03-01

Full Text Available In the article the review of researches of domestic and foreign organizations, modeling the demand and supply of professions on the labour market. Determined that most of the management functions is transferred to automated systems, robots and machines. The article presents the table containing the list of names of professions that are replaced by automated systems of management of objects and the list of names of professions that are replaced by automated systems in the management of documents. Defined the professions that will be in demand tomorrow (2020, the day after tomorrow" (after 2020, "profession-retired," and your future profession. Described professional skills the jobs of the future. Based on research by the Agency for strategic initiatives and the Moscow school of management SKOLKOVO is defined as the TOP 10 most popular professions of the future. Identified the need to replace old professions. Generated table the jobs of the future according to eaten research school of management "SKOLKOVO". The efficiency of transferring management functions to automated systems.

ROUTING DEMAND CHANGES TO USERS ON THE WM LATERAL CANAL WITH SACMAN

Science.gov (United States)

Most canals have either long travel times or insufficient in-canal storage to operate on-demand. Thus, most flow changes must be routed through the canal. Volume compensation has been proposed as a method for easily applying feedforward control to irrigation canals. SacMan (Software for Automated Ca...

Remote sensing inputs to water demand modeling

Science.gov (United States)

Estes, J. E.; Jensen, J. R.; Tinney, L. R.; Rector, M.

1975-01-01

In an attempt to determine the ability of remote sensing techniques to economically generate data required by water demand models, the Geography Remote Sensing Unit, in conjunction with the Kern County Water Agency of California, developed an analysis model. As a result it was determined that agricultural cropland inventories utilizing both high altitude photography and LANDSAT imagery can be conducted cost effectively. In addition, by using average irrigation application rates in conjunction with cropland data, estimates of agricultural water demand can be generated. However, more accurate estimates are possible if crop type, acreage, and crop specific application rates are employed. An analysis of the effect of saline-alkali soils on water demand in the study area is also examined. Finally, reference is made to the detection and delineation of water tables that are perched near the surface by semi-permeable clay layers. Soil salinity prediction, automated crop identification on a by-field basis, and a potential input to the determination of zones of equal benefit taxation are briefly touched upon.

Use of automated test equipment and open-quotes paperlessclose quotes process control to implement efficient production of SSC dipole magnets

International Nuclear Information System (INIS)

Tobin, T.; Fagan, R.; Mitchell, D.

1994-01-01

In an effort to minimize human error and maximize process control and test capabilities during Collider Dipole Magnets (CDM) production, General Dynamics is developing automated test and process control equipment; known as Test ampersand Process Control Modules (TPCM's). When used along with software designed to create open-quotes paperlessclose quotes process control documentation, the system becomes the Test ampersand Process Control System (TPCS). This system simplifies business decisions and eliminates some problems normally associated with process control documentation, while reducing human errors during CDM production. It is also designed to reduce test operator errors normally incurred during test setup and data analysis. The authors present an overview of the TPCS hardware and software being developed at General Dynamics, along with the process control techniques included in TPCS

Design automation of ΔΣ switched capacitor modulators using spice and MATLAB

Directory of Open Access Journals (Sweden)

Mirković Dejan

2014-01-01

Full Text Available Concerning the fact that the design of contemporary integrated circuits (IC is practically impossible without using sophisticated Electronic Design Automation (EDA software, this paper gives some interesting thoughts and considerations about that issue. As technology processes advances on year basis consequently EDA industry is forced to follow this trend as well. This, on the other hand, requires IC designer to frequently and efficiently accommodate to new working environments. Authors of this paper suggest a method for high level circuit analysis that is based on using common (open source or low cost circuit simulators but precise and fast enough to meet requirements imposed by demanding mixed-signal blocks. The paper demonstrates the proposed EDA procedure on an example of second order ΔΣ modulator design. It illustrates considerable simulation time saving which is more than welcome in a world of analogue and mixed-signal design. [Projekat Ministarstva nauke Republike Srbije, br. TR32004: Advanced technologies for measurement, control, and communication on the electric grid

Automation in biological crystallization.

Science.gov (United States)

Stewart, Patrick Shaw; Mueller-Dieckmann, Jochen

2014-06-01

Crystallization remains the bottleneck in the crystallographic process leading from a gene to a three-dimensional model of the encoded protein or RNA. Automation of the individual steps of a crystallization experiment, from the preparation of crystallization cocktails for initial or optimization screens to the imaging of the experiments, has been the response to address this issue. Today, large high-throughput crystallization facilities, many of them open to the general user community, are capable of setting up thousands of crystallization trials per day. It is thus possible to test multiple constructs of each target for their ability to form crystals on a production-line basis. This has improved success rates and made crystallization much more convenient. High-throughput crystallization, however, cannot relieve users of the task of producing samples of high quality. Moreover, the time gained from eliminating manual preparations must now be invested in the careful evaluation of the increased number of experiments. The latter requires a sophisticated data and laboratory information-management system. A review of the current state of automation at the individual steps of crystallization with specific attention to the automation of optimization is given.

IMCOM LonWorks (registered trademark) Building Automation Systems Implementation Strategy

National Research Council Canada - National Science Library

Schwenk, David M; Bush, Joseph; Hughes, Lucie M; Briggs, Stephen; White, Will

2008-01-01

...; however BASs can present their own technical and administrative (including contractual) challenges. This report defines a methodology for the development and execution of a basewide Open Building Automation System...

Laboratory automation of high-quality and efficient ligand-binding assays for biotherapeutic drug development.

Science.gov (United States)

Wang, Jin; Patel, Vimal; Burns, Daniel; Laycock, John; Pandya, Kinnari; Tsoi, Jennifer; DeSilva, Binodh; Ma, Mark; Lee, Jean

2013-07-01

Regulated bioanalytical laboratories that run ligand-binding assays in support of biotherapeutics development face ever-increasing demand to support more projects with increased efficiency. Laboratory automation is a tool that has the potential to improve both quality and efficiency in a bioanalytical laboratory. The success of laboratory automation requires thoughtful evaluation of program needs and fit-for-purpose strategies, followed by pragmatic implementation plans and continuous user support. In this article, we present the development of fit-for-purpose automation of total walk-away and flexible modular modes. We shared the sustaining experience of vendor collaboration and team work to educate, promote and track the use of automation. The implementation of laboratory automation improves assay performance, data quality, process efficiency and method transfer to CRO in a regulated bioanalytical laboratory environment.

Responsiveness of residential electricity demand to dynamic tariffs: Experiences from a large field test in the Netherlands

OpenAIRE

Klaassen, EAM; Kobus, C.B.A.; Frunt, J; Slootweg, JG

2016-01-01

To efficiently facilitate the energy transition it is essential to evaluate the potential of demand response in practice. Based on the results of a Dutch smart grid pilot, this paper assesses the potential of both manual and semi-automated demand response in residential areas. To stimulate demand response, a dynamic tariff and smart appliances were used. The participating households were informed about the tariff day-ahead through a home energy management system, connected to a display instal...

E-health, phase two: the imperative to integrate process automation with communication automation for large clinical reference laboratories.

Science.gov (United States)

White, L; Terner, C

2001-01-01

The initial efforts of e-health have fallen far short of expectations. They were buoyed by the hype and excitement of the Internet craze but limited by their lack of understanding of important market and environmental factors. E-health now recognizes that legacy systems and processes are important, that there is a technology adoption process that needs to be followed, and that demonstrable value drives adoption. Initial e-health transaction solutions have targeted mostly low-cost problems. These solutions invariably are difficult to integrate into existing systems, typically requiring manual interfacing to supported processes. This limitation in particular makes them unworkable for large volume providers. To meet the needs of these providers, e-health companies must rethink their approaches, appropriately applying technology to seamlessly integrate all steps into existing business functions. E-automation is a transaction technology that automates steps, integration of steps, and information communication demands, resulting in comprehensive automation of entire business functions. We applied e-automation to create a billing management solution for clinical reference laboratories. Large volume, onerous regulations, small margins, and only indirect access to patients challenge large laboratories' billing departments. Couple these problems with outmoded, largely manual systems and it becomes apparent why most laboratory billing departments are in crisis. Our approach has been to focus on the most significant and costly problems in billing: errors, compliance, and system maintenance and management. The core of the design relies on conditional processing, a "universal" communications interface, and ASP technologies. The result is comprehensive automation of all routine processes, driving out errors and costs. Additionally, compliance management and billing system support and management costs are dramatically reduced. The implications of e-automated processes can extend

Software Defined Networking challenges and future direction: A case study of implementing SDN features on OpenStack private cloud

International Nuclear Information System (INIS)

Shamugam, Veeramani; Murray, I; Leong, J A; Sidhu, Amandeep S

2016-01-01

Cloud computing provides services on demand instantly, such as access to network infrastructure consisting of computing hardware, operating systems, network storage, database and applications. Network usage and demands are growing at a very fast rate and to meet the current requirements, there is a need for automatic infrastructure scaling. Traditional networks are difficult to automate because of the distributed nature of their decision making process for switching or routing which are collocated on the same device. Managing complex environments using traditional networks is time-consuming and expensive, especially in the case of generating virtual machines, migration and network configuration. To mitigate the challenges, network operations require efficient, flexible, agile and scalable software defined networks (SDN). This paper discuss various issues in SDN and suggests how to mitigate the network management related issues. A private cloud prototype test bed was setup to implement the SDN on the OpenStack platform to test and evaluate the various network performances provided by the various configurations. (paper)

Software Defined Networking challenges and future direction: A case study of implementing SDN features on OpenStack private cloud

Science.gov (United States)

Shamugam, Veeramani; Murray, I.; Leong, J. A.; Sidhu, Amandeep S.

2016-03-01

Cloud computing provides services on demand instantly, such as access to network infrastructure consisting of computing hardware, operating systems, network storage, database and applications. Network usage and demands are growing at a very fast rate and to meet the current requirements, there is a need for automatic infrastructure scaling. Traditional networks are difficult to automate because of the distributed nature of their decision making process for switching or routing which are collocated on the same device. Managing complex environments using traditional networks is time-consuming and expensive, especially in the case of generating virtual machines, migration and network configuration. To mitigate the challenges, network operations require efficient, flexible, agile and scalable software defined networks (SDN). This paper discuss various issues in SDN and suggests how to mitigate the network management related issues. A private cloud prototype test bed was setup to implement the SDN on the OpenStack platform to test and evaluate the various network performances provided by the various configurations.

Use of a platform in an automated open-field to enhance assessment of anxiety-like behaviors in mice.

Science.gov (United States)

Pogorelov, Vladimir M; Lanthorn, Thomas H; Savelieva, Katerina V

2007-05-15

The present report describes a setup for simultaneously measuring anxiety-like behaviors and locomotor activity in mice. Animals are placed in a brightly lit, standard automated open-field (OF) in which a rectangular ceramic platform 8 cm high covers one quadrant of the floor. Mice preferred to stay under the platform, avoiding the area with bright illumination. Activities under and outside the platform were measured for 5 min. Chlordiazepoxide and buspirone dose-dependently increased time spent outside the platform (L-Time) and the light distance to total OF distance ratio (L:T-TD) in both genders without changing total OF distance. By contrast, amphetamine decreased L-Time and L:T-TD in males, thus displaying an anxiogenic effect. Imipramine was without selective effect on L-Time or L:T-TD, but decreased total OF distance at the highest dose indicative of a sedative effect. Drug effects were also evaluated in the OF without platform using conventional anxiety measures. Introduction of the platform into the OF apparatus strongly enhanced the sensitivity to anxiolytics. Comparison of strains differing in activity or anxiety levels showed that L-Time and L:T-TD can be used as measures of anxiety-like behavior independent of locomotor activity. Changes in motor activity are reflected in the total distance traveled under and outside the platform. Therefore, the platform test is fully automated, sensitive to both anxiolytic and anxiogenic effects of drugs and genetic phenotypes with little evidence of gender-specific responses, and can be easily utilized by most laboratories measuring behavior.

How automated image analysis techniques help scientists in species identification and classification?

Science.gov (United States)

Yousef Kalafi, Elham; Town, Christopher; Kaur Dhillon, Sarinder

2017-09-04

Identification of taxonomy at a specific level is time consuming and reliant upon expert ecologists. Hence the demand for automated species identification increased over the last two decades. Automation of data classification is primarily focussed on images, incorporating and analysing image data has recently become easier due to developments in computational technology. Research efforts in identification of species include specimens' image processing, extraction of identical features, followed by classifying them into correct categories. In this paper, we discuss recent automated species identification systems, categorizing and evaluating their methods. We reviewed and compared different methods in step by step scheme of automated identification and classification systems of species images. The selection of methods is influenced by many variables such as level of classification, number of training data and complexity of images. The aim of writing this paper is to provide researchers and scientists an extensive background study on work related to automated species identification, focusing on pattern recognition techniques in building such systems for biodiversity studies.

Automated Demand Response Approaches to Household Energy Management in a Smart Grid Environment

Science.gov (United States)

Adika, Christopher Otieno

The advancement of renewable energy technologies and the deregulation of the electricity market have seen the emergence of Demand response (DR) programs. Demand response is a cost-effective load management strategy which enables the electricity suppliers to maintain the integrity of the power grid during high peak periods, when the customers' electrical load is high. DR programs are designed to influence electricity users to alter their normal consumption patterns by offering them financial incentives. A well designed incentive-based DR scheme that offer competitive electricity pricing structure can result in numerous benefits to all the players in the electricity market. Lower power consumption during peak periods will significantly enhance the robustness of constrained networks by reducing the level of power of generation and transmission infrastructure needed to provide electric service. Therefore, this will ease the pressure of building new power networks as we avoiding costly energy procurements thereby translating into huge financial savings for the power suppliers. Peak load reduction will also reduce the inconveniences suffered by end users as a result of brownouts or blackouts. Demand response will also drastically lower the price peaks associated with wholesale markets. This will in turn reduce the electricity costs and risks for all the players in the energy market. Additionally, DR is environmentally friendly since it enhances the flexibility of the power grid through accommodation of renewable energy resources. Despite its many benefits, DR has not been embraced by most electricity networks. This can be attributed to the fact that the existing programs do not provide enough incentives to the end users and, therefore, most electricity users are not willing to participate in them. To overcome these challenges, most utilities are coming up with innovative strategies that will be more attractive to their customers. Thus, this dissertation presents various

ERSN-OpenMC, a Java-based GUI for OpenMC Monte Carlo code

Directory of Open Access Journals (Sweden)

Jaafar EL Bakkali

2016-07-01

Full Text Available OpenMC is a new Monte Carlo transport particle simulation code focused on solving two types of neutronic problems mainly the k-eigenvalue criticality fission source problems and external fixed fission source problems. OpenMC does not have any Graphical User Interface and the creation of one is provided by our java-based application named ERSN-OpenMC. The main feature of this application is to provide to the users an easy-to-use and flexible graphical interface to build better and faster simulations, with less effort and great reliability. Additionally, this graphical tool was developed with several features, as the ability to automate the building process of OpenMC code and related libraries as well as the users are given the freedom to customize their installation of this Monte Carlo code. A full description of the ERSN-OpenMC application is presented in this paper.

Automation of the National Water Quality Laboratories, U. S. Geological Survey. I. Description of laboratory functions and definition of the automation project

Energy Technology Data Exchange (ETDEWEB)

Morris, W.F.; Ames, H.S.

1977-07-01

In January 1976, the Water Resources Division of the U.S. Geological Survey asked Lawrence Livermore Laboratory to conduct a feasibility study for automation of the National Water Quality (NWQ) Laboratory in Denver, Colorado (formerly Denver Central Laboratory). Results of the study were published in the Feasibility Study for Automation of the Central Laboratories, Lawrence Livermore Laboratory, Rept. UCRL-52001 (1976). Because the present system for processing water samples was found inadequate to meet the demands of a steadily increasing workload, new automation was recommended. In this document we present details necessary for future implementation of the new system, as well as descriptions of current laboratory automatic data processing and analytical facilities to better define the scope of the project and illustrate what the new system will accomplish. All pertinent inputs, outputs, and other operations that define the project are shown in functional designs.

Automation of the National Water Quality Laboratories, U.S. Geological Survey. I. Description of laboratory functions and definition of the automation project

International Nuclear Information System (INIS)

Morris, W.F.; Ames, H.S.

1977-01-01

In January 1976, the Water Resources Division of the U.S. Geological Survey asked Lawrence Livermore Laboratory to conduct a feasibility study for automation of the National Water Quality (NWQ) Laboratory in Denver, Colorado (formerly Denver Central Laboratory). Results of the study were published in the Feasibility Study for Automation of the Central Laboratories, Lawrence Livermore Laboratory, Rept. UCRL-52001 (1976). Because the present system for processing water samples was found inadequate to meet the demands of a steadily increasing workload, new automation was recommended. In this document we present details necessary for future implementation of the new system, as well as descriptions of current laboratory automatic data processing and analytical facilities to better define the scope of the project and illustrate what the new system will accomplish. All pertinent inputs, outputs, and other operations that define the project are shown in functional designs

Service-oriented architectural framework for support and automation of collaboration tasks

Directory of Open Access Journals (Sweden)

Ana Sasa

2011-06-01

Full Text Available Due to more and more demanding requirements for business flexibility and agility, automation of end-to-end industrial processes has become an important topic. Systems supporting business process execution need to enable automated tasks execution as well as integrate human performed tasks (human tasks into a business process. In this paper, we focus on collaboration tasks, which are an important type of composite human tasks. We propose a service-oriented architectural framework describing a service responsible for human task execution (Human task service, which not only implements collaboration tasks but also improves their execution by automated and semi-automated decision making and collaboration based on ontologies and agent technology. The approach is very generic and can be used for any type of business processes. A case study was performed for a human task intensive business process from an electric power transmission domain.

Applying Dataflow Architecture and Visualization Tools to In Vitro Pharmacology Data Automation.

Science.gov (United States)

Pechter, David; Xu, Serena; Kurtz, Marc; Williams, Steven; Sonatore, Lisa; Villafania, Artjohn; Agrawal, Sony

2016-12-01

The pace and complexity of modern drug discovery places ever-increasing demands on scientists for data analysis and interpretation. Data flow programming and modern visualization tools address these demands directly. Three different requirements-one for allosteric modulator analysis, one for a specialized clotting analysis, and one for enzyme global progress curve analysis-are reviewed, and their execution in a combined data flow/visualization environment is outlined. © 2016 Society for Laboratory Automation and Screening.

Research on electricity market operation mechanism and its benefit of demand side participation

Science.gov (United States)

Han, Shuai; Yan, Xu; Qin, Li-juan; Lin, Xi-qiao; Zeng, Bo

2017-08-01

Demand response plays an important role in maintaining the economic stability of the system, and has the characteristics of high efficiency, low cost, fast response, good environmental benefits and so on. Demand side resource is an important part of electricity market. The research of demand side resources in our country is still in the initial stage, but the opening of the electricity sales side provides a broad prospect for the development of electricity market. This paper summarizes the main types of demand side resources in our country, analyzes the economic principle of demand response from the micro perspective, puts forward some suggestions on the operation mechanism of China’s demand side resources participating in the electricity market under the condition of electricity sales side opening, analyzes the current situation of pricing in the electricity wholesale market and sets up the pricing strategy of the centralized wholesale market with the demand side power supply participating in quotation, which makes the social and economic benefits reach the maximum.

Automation of diagnostic genetic testing: mutation detection by cyclic minisequencing.

Science.gov (United States)

Alagrund, Katariina; Orpana, Arto K

2014-01-01

The rising role of nucleic acid testing in clinical decision making is creating a need for efficient and automated diagnostic nucleic acid test platforms. Clinical use of nucleic acid testing sets demands for shorter turnaround times (TATs), lower production costs and robust, reliable methods that can easily adopt new test panels and is able to run rare tests in random access principle. Here we present a novel home-brew laboratory automation platform for diagnostic mutation testing. This platform is based on the cyclic minisequecing (cMS) and two color near-infrared (NIR) detection. Pipetting is automated using Tecan Freedom EVO pipetting robots and all assays are performed in 384-well micro plate format. The automation platform includes a data processing system, controlling all procedures, and automated patient result reporting to the hospital information system. We have found automated cMS a reliable, inexpensive and robust method for nucleic acid testing for a wide variety of diagnostic tests. The platform is currently in clinical use for over 80 mutations or polymorphisms. Additionally to tests performed from blood samples, the system performs also epigenetic test for the methylation of the MGMT gene promoter, and companion diagnostic tests for analysis of KRAS and BRAF gene mutations from formalin fixed and paraffin embedded tumor samples. Automation of genetic test reporting is found reliable and efficient decreasing the work load of academic personnel.

High-resolution stochastic integrated thermal–electrical domestic demand model

International Nuclear Information System (INIS)

McKenna, Eoghan; Thomson, Murray

2016-01-01

Highlights: • A major new version of CREST’s demand model is presented. • Simulates electrical and thermal domestic demands at high-resolution. • Integrated structure captures appropriate time-coincidence of variables. • Suitable for low-voltage network and urban energy analyses. • Open-source development in Excel VBA freely available for download. - Abstract: This paper describes the extension of CREST’s existing electrical domestic demand model into an integrated thermal–electrical demand model. The principle novelty of the model is its integrated structure such that the timing of thermal and electrical output variables are appropriately correlated. The model has been developed primarily for low-voltage network analysis and the model’s ability to account for demand diversity is of critical importance for this application. The model, however, can also serve as a basis for modelling domestic energy demands within the broader field of urban energy systems analysis. The new model includes the previously published components associated with electrical demand and generation (appliances, lighting, and photovoltaics) and integrates these with an updated occupancy model, a solar thermal collector model, and new thermal models including a low-order building thermal model, domestic hot water consumption, thermostat and timer controls and gas boilers. The paper reviews the state-of-the-art in high-resolution domestic demand modelling, describes the model, and compares its output with three independent validation datasets. The integrated model remains an open-source development in Excel VBA and is freely available to download for users to configure and extend, or to incorporate into other models.

Scenarios of energy demand and efficiency potential for Bulgaria

Energy Technology Data Exchange (ETDEWEB)

Tzvetanov, P.; Ruicheva, M.; Denisiev, M.

1996-12-31

The paper presents aggregated results on macroeconomic and final energy demand scenarios developed within the Bulgarian Country Study on Greenhouse Gas Emissions Mitigation, supported by US Country Studies Program. The studies in this area cover 5 main stages: (1) {open_quotes}Baseline{close_quotes} and {open_quotes}Energy Efficiency{close_quotes} socioeconomic and energy policy philosophy; (2) Modeling of macroeconomic and sectoral development till 2020; (3) Expert assessments on the technological options for energy efficiency increase and GHG mitigation in the Production, Transport and Households and Services Sectors; (4) Bottom-up modeling of final energy demand; and (5) Sectoral and overall energy efficiency potential and policy. Within the Bulgarian Country Study, the presented results have served as a basis for the final integration stage {open_quotes}Assessment of the Mitigation Policy and Measures in the Energy System of Bulgaria{close_quotes}.

Open access journals – what publishers offer, what researchers want

CERN Document Server

Dallmeier-Tiessen, Suenje; Goerner, Bettina; Hyppoelae, Jenni; Igo-Kemenes, Peter; Kahn, Deborah; Lamber, Simon; Lengenfelder, Anja; Leonard, Chris; Mele, Salvatore; Nowicka, Malgorzata; Polydoratou, Panayiota; Ross, David; Ruiz-Perez, Sergio; Schimmer, Ralf; Swaisland, Mark; van der Stelt, Wim

2011-01-01

The SOAP (Study of Open Access Publishing) project has analyzed the current supply and demand situation in the open access journal landscape. Starting from the Directory of Open Access Journals, several sources of data were considered, including journal websites and direct inquiries within the publishing industry to comprehensively map the present supply of online peer-reviewed OA journals. The demand for open access publishing is summarised, as assessed through a large-scale survey of researchers' opinions and attitudes. Some forty thousand answers were collected across disciplines and around the world, reflecting major support for the idea of open access, while highlighting drivers of and barriers to open access publishing.

Policy challenges of increasing automation in driving

Directory of Open Access Journals (Sweden)

Ata M. Khan

2012-03-01

Full Text Available The convergence of information and communication technologies (ICT with automotive technologies has already resulted in automation features in road vehicles and this trend is expected to continue in the future owing to consumer demand, dropping costs of components, and improved reliability. While the automation features that have taken place so far are mainly in the form of information and driver warning technologies (classified as level I pre-2010, future developments in the medium term (level II 2010–2025 are expected to exhibit connected cognitive vehicle features and encompass increasing degree of automation in the form of advanced driver assistance systems. Although autonomous vehicles have been developed for research purposes and are being tested in controlled driving missions, the autonomous driving case is only a long term (level III 2025+ scenario. This paper contributes knowledge on technological forecasts regarding automation, policy challenges for each level of technology development and application context, and the essential instrument of cost-effectiveness for policy analysis which enables policy decisions on the automation systems to be assessed in a consistent and balanced manner. The cost of a system per vehicle is viewed against its effectiveness in meeting policy objectives of improving safety, efficiency, mobility, convenience and reducing environmental effects. Example applications are provided that illustrate the contribution of the methodology in providing information for supporting policy decisions. Given the uncertainties in system costs as well as effectiveness, the tool for assessing policies for future generation features probabilistic and utility-theoretic analysis capability. The policy issues defined and the assessment framework enable the resolution of policy challenges while allowing worthy innovative automation in driving to enhance future road transportation.

Distress and worry as mediators in the relationship between psychosocial risks and upper body musculoskeletal complaints in highly automated manufacturing.

Science.gov (United States)

Wixted, Fiona; Shevlin, Mark; O'Sullivan, Leonard W

2018-03-15

As a result of changes in manufacturing including an upward trend in automation and the advent of the fourth industrial revolution, the requirement for supervisory monitoring and consequently, cognitive demand has increased in automated manufacturing. The incidence of musculoskeletal disorders has also increased in the manufacturing sector. A model was developed based on survey data to test if distress and worry mediate the relationship between psychosocial factors (job control, cognitive demand, social isolation and skill discretion), stress states and symptoms of upper body musculoskeletal disorders in highly automated manufacturing companies (n = 235). These constructs facilitated the development of a statistically significant model (RMSEA 0.057, TLI 0.924, CFI 0.935). Cognitive demand was shown to be related to higher distress in employees, and distress to a higher incidence of self-reported shoulder and lower back symptoms. The mediation model incorporating stress states (distress, worry) as mediators is a novel approach in linking psychosocial risks to musculoskeletal disorders. Practitioners' Summary With little requirement for physical work in many modern automated manufacturing workplaces, there is often minimal management focus on Work-Related Musculoskeletal Disorders (WRMSDs) as important occupational health problems. Our model provides evidence that psychosocial factors are important risk factors in symptoms of WRMSD and should be managed.

The standard laboratory module approach to automation of the chemical laboratory

International Nuclear Information System (INIS)

Hollen, R.M.; Erkkila, T.H.

1993-01-01

Automation of the technology and practice of environmental laboratory automation has not been as rapid or complete as one might expect. Confined to autosamplers and limited robotic systems, our ability to apply production concepts to environmental analytical analysis is not great. With the impending remediation of our hazardous waste sites in the US, only the application of production chemistry techniques will even begin to provide those responsible with the necessary knowledge to accomplish the cleanup expeditiously and safely. Tightening regulatory requirements have already mandated staggering increases in sampling and characterization needs with the future only guaranteeing greater demands. The Contaminant Analysis Automation Program has been initiated by our government to address these current and future characterization by application of a new robotic paradigm for analytical chemistry. By using standardized modular instruments, named Standard Laboratory Modules, flexible automation systems can rapidly be configured to apply production techniques to our nations environmental problems at-site

ICECAP: an integrated, general-purpose, automation-assisted IC50/EC50 assay platform.

Science.gov (United States)

Li, Ming; Chou, Judy; King, Kristopher W; Jing, Jing; Wei, Dong; Yang, Liyu

2015-02-01

IC50 and EC50 values are commonly used to evaluate drug potency. Mass spectrometry (MS)-centric bioanalytical and biomarker labs are now conducting IC50/EC50 assays, which, if done manually, are tedious and error-prone. Existing bioanalytical sample preparation automation systems cannot meet IC50/EC50 assay throughput demand. A general-purpose, automation-assisted IC50/EC50 assay platform was developed to automate the calculations of spiking solutions and the matrix solutions preparation scheme, the actual spiking and matrix solutions preparations, as well as the flexible sample extraction procedures after incubation. In addition, the platform also automates the data extraction, nonlinear regression curve fitting, computation of IC50/EC50 values, graphing, and reporting. The automation-assisted IC50/EC50 assay platform can process the whole class of assays of varying assay conditions. In each run, the system can handle up to 32 compounds and up to 10 concentration levels per compound, and it greatly improves IC50/EC50 assay experimental productivity and data processing efficiency. © 2014 Society for Laboratory Automation and Screening.

Systems automated reporting of patient dose in digital radiology

International Nuclear Information System (INIS)

Collado Chamorro, P.; Sanz Freire, C. J.; Martinez Mirallas, O.; Tejada San Juan, S.; Lopez de Gammarra, M. S.

2013-01-01

It has developed a procedure automated reporting of doses to patients in Radiology. This procedure allows to save the time required of the data used to calculate the dose to patients by yields. Also saves the time spent in the transcription of these data for the realization of the necessary calculations. This system has been developed using open source software. The characteristics of the systems of digital radiography for the automation of procedures, in particular the registration of dose should benefit from patient. This procedure is validated and currently in use at our institution. (Author)

Automating NEURON Simulation Deployment in Cloud Resources.

Science.gov (United States)

Stockton, David B; Santamaria, Fidel

2017-01-01

Simulations in neuroscience are performed on local servers or High Performance Computing (HPC) facilities. Recently, cloud computing has emerged as a potential computational platform for neuroscience simulation. In this paper we compare and contrast HPC and cloud resources for scientific computation, then report how we deployed NEURON, a widely used simulator of neuronal activity, in three clouds: Chameleon Cloud, a hybrid private academic cloud for cloud technology research based on the OpenStack software; Rackspace, a public commercial cloud, also based on OpenStack; and Amazon Elastic Cloud Computing, based on Amazon's proprietary software. We describe the manual procedures and how to automate cloud operations. We describe extending our simulation automation software called NeuroManager (Stockton and Santamaria, Frontiers in Neuroinformatics, 2015), so that the user is capable of recruiting private cloud, public cloud, HPC, and local servers simultaneously with a simple common interface. We conclude by performing several studies in which we examine speedup, efficiency, total session time, and cost for sets of simulations of a published NEURON model.

[Modularization by the open standard. (I)].

Science.gov (United States)

Hirano, H

2000-10-01

We are proceeding with the project called "Open LA21 Project" in the course of the clinical laboratory automation toward the 21st century. With the modular system that realizes integration, downsizing, a reasonable price, and is the future course in the clinical testing automation system as well, we aim to establish common standards among manufacturers as the only way to create user friendly market environments where the proper competition exists among the manufacturers. The common standards which are in preparation by the participating companies as "Open module system standards" are the standards which are going to be made public. They are intended to guarantee connection, compatibility of the products in conformity with the standards. In this project, we intend to realize the modular system that integrates each field, such as chemistry, hematology, coagulation/fibrinolysis, immunology, urinalysis in an early stage, and contribute positively to restructuring and upgrading the "raison d'etre" of the 21st century clinical testing.

An Overview of the Automated Dispatch Controller Algorithms in the System Advisor Model (SAM)

Energy Technology Data Exchange (ETDEWEB)

DiOrio, Nicholas A [National Renewable Energy Lab. (NREL), Golden, CO (United States)

2017-11-22

Three automatic dispatch modes have been added to the battery model within the System Adviser Model. These controllers have been developed to perform peak shaving in an automated fashion, providing users with a way to see the benefit of reduced demand charges without manually programming a complicated dispatch control. A flexible input option allows more advanced interaction with the automated controller. This document will describe the algorithms in detail and present brief results on its use and limitations.

The Molecular Industrial Revolution: Automated Synthesis of Small Molecules.

Science.gov (United States)

Trobe, Melanie; Burke, Martin D

2018-04-09

Today we are poised for a transition from the highly customized crafting of specific molecular targets by hand to the increasingly general and automated assembly of different types of molecules with the push of a button. Creating machines that are capable of making many different types of small molecules on demand, akin to that which has been achieved on the macroscale with 3D printers, is challenging. Yet important progress is being made toward this objective with two complementary approaches: 1) Automation of customized synthesis routes to different targets by machines that enable the use of many reactions and starting materials, and 2) automation of generalized platforms that make many different targets using common coupling chemistry and building blocks. Continued progress in these directions has the potential to shift the bottleneck in molecular innovation from synthesis to imagination, and thereby help drive a new industrial revolution on the molecular scale. © 2018 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.

DataBase on Demand

International Nuclear Information System (INIS)

Aparicio, R Gaspar; Gomez, D; Wojcik, D; Coz, I Coterillo

2012-01-01

At CERN a number of key database applications are running on user-managed MySQL database services. The database on demand project was born out of an idea to provide the CERN user community with an environment to develop and run database services outside of the actual centralised Oracle based database services. The Database on Demand (DBoD) empowers the user to perform certain actions that had been traditionally done by database administrators, DBA's, providing an enterprise platform for database applications. It also allows the CERN user community to run different database engines, e.g. presently open community version of MySQL and single instance Oracle database server. This article describes a technology approach to face this challenge, a service level agreement, the SLA that the project provides, and an evolution of possible scenarios.

Fully-automated approach to hippocampus segmentation using a graph-cuts algorithm combined with atlas-based segmentation and morphological opening.

Science.gov (United States)

Kwak, Kichang; Yoon, Uicheul; Lee, Dong-Kyun; Kim, Geon Ha; Seo, Sang Won; Na, Duk L; Shim, Hack-Joon; Lee, Jong-Min

2013-09-01

The hippocampus has been known to be an important structure as a biomarker for Alzheimer's disease (AD) and other neurological and psychiatric diseases. However, it requires accurate, robust and reproducible delineation of hippocampal structures. In this study, an automated hippocampal segmentation method based on a graph-cuts algorithm combined with atlas-based segmentation and morphological opening was proposed. First of all, the atlas-based segmentation was applied to define initial hippocampal region for a priori information on graph-cuts. The definition of initial seeds was further elaborated by incorporating estimation of partial volume probabilities at each voxel. Finally, morphological opening was applied to reduce false positive of the result processed by graph-cuts. In the experiments with twenty-seven healthy normal subjects, the proposed method showed more reliable results (similarity index=0.81±0.03) than the conventional atlas-based segmentation method (0.72±0.04). Also as for segmentation accuracy which is measured in terms of the ratios of false positive and false negative, the proposed method (precision=0.76±0.04, recall=0.86±0.05) produced lower ratios than the conventional methods (0.73±0.05, 0.72±0.06) demonstrating its plausibility for accurate, robust and reliable segmentation of hippocampus. Copyright © 2013 Elsevier Inc. All rights reserved.

Energy conservation and management system using efficient building automation

Science.gov (United States)

Ahmed, S. Faiz; Hazry, D.; Tanveer, M. Hassan; Joyo, M. Kamran; Warsi, Faizan A.; Kamarudin, H.; Wan, Khairunizam; Razlan, Zuradzman M.; Shahriman A., B.; Hussain, A. T.

2015-05-01

In countries where the demand and supply gap of electricity is huge and the people are forced to endure increasing hours of load shedding, unnecessary consumption of electricity makes matters even worse. So the importance and need for electricity conservation increases exponentially. This paper outlines a step towards the conservation of energy in general and electricity in particular by employing efficient Building Automation technique. It should be noted that by careful designing and implementation of the Building Automation System, up to 30% to 40% of energy consumption can be reduced, which makes a huge difference for energy saving. In this study above mentioned concept is verified by performing experiment on a prototype experimental room and by implementing efficient building automation technique. For the sake of this efficient automation, Programmable Logic Controller (PLC) is employed as a main controller, monitoring various system parameters and controlling appliances as per required. The hardware test run and experimental findings further clarifies and proved the concept. The added advantage of this project is that it can be implemented to both small and medium level domestic homes thus greatly reducing the overall unnecessary load on the Utility provider.

How we can measure the non-driving-task engagement in automated driving: Comparing flow experience and workload.

Science.gov (United States)

Ko, Sang Min; Ji, Yong Gu

2018-02-01

In automated driving, a driver can completely concentrate on non-driving-related tasks (NDRTs). This study investigated the flow experience of a driver who concentrated on NDRTs and tasks that induce mental workload under conditional automation. Participants performed NDRTs under different demand levels: a balanced demand-skill level (fit condition) to induce flow, low-demand level to induce boredom, and high-demand level to induce anxiety. In addition, they performed the additional N-Back task, which artificially induces mental workload. The results showed participants had the longest reaction time when they indicated the highest flow score, and had the longest gaze-on time, road-fixation time, hands-on time, and take-over time under the fit condition. Significant differences were not observed in the driver reaction times in the fit condition and the additional N-Back task, indicating that performing NDRTs that induce a high flow experience could influence driver reaction time similar to performing tasks with a high mental workload. Copyright © 2017. Published by Elsevier Ltd.

Automated microscopy for high-content RNAi screening

Science.gov (United States)

2010-01-01

Fluorescence microscopy is one of the most powerful tools to investigate complex cellular processes such as cell division, cell motility, or intracellular trafficking. The availability of RNA interference (RNAi) technology and automated microscopy has opened the possibility to perform cellular imaging in functional genomics and other large-scale applications. Although imaging often dramatically increases the content of a screening assay, it poses new challenges to achieve accurate quantitative annotation and therefore needs to be carefully adjusted to the specific needs of individual screening applications. In this review, we discuss principles of assay design, large-scale RNAi, microscope automation, and computational data analysis. We highlight strategies for imaging-based RNAi screening adapted to different library and assay designs. PMID:20176920

Automated Development of Accurate Algorithms and Efficient Codes for Computational Aeroacoustics

Science.gov (United States)

Goodrich, John W.; Dyson, Rodger W.

1999-01-01

The simulation of sound generation and propagation in three space dimensions with realistic aircraft components is a very large time dependent computation with fine details. Simulations in open domains with embedded objects require accurate and robust algorithms for propagation, for artificial inflow and outflow boundaries, and for the definition of geometrically complex objects. The development, implementation, and validation of methods for solving these demanding problems is being done to support the NASA pillar goals for reducing aircraft noise levels. Our goal is to provide algorithms which are sufficiently accurate and efficient to produce usable results rapidly enough to allow design engineers to study the effects on sound levels of design changes in propulsion systems, and in the integration of propulsion systems with airframes. There is a lack of design tools for these purposes at this time. Our technical approach to this problem combines the development of new, algorithms with the use of Mathematica and Unix utilities to automate the algorithm development, code implementation, and validation. We use explicit methods to ensure effective implementation by domain decomposition for SPMD parallel computing. There are several orders of magnitude difference in the computational efficiencies of the algorithms which we have considered. We currently have new artificial inflow and outflow boundary conditions that are stable, accurate, and unobtrusive, with implementations that match the accuracy and efficiency of the propagation methods. The artificial numerical boundary treatments have been proven to have solutions which converge to the full open domain problems, so that the error from the boundary treatments can be driven as low as is required. The purpose of this paper is to briefly present a method for developing highly accurate algorithms for computational aeroacoustics, the use of computer automation in this process, and a brief survey of the algorithms that

Driver Vigilance in Automated Vehicles: Hazard Detection Failures Are a Matter of Time.

Science.gov (United States)

Greenlee, Eric T; DeLucia, Patricia R; Newton, David C

2018-03-01

The primary aim of the current study was to determine whether monitoring the roadway for hazards during automated driving results in a vigilance decrement. Although automated vehicles are relatively novel, the nature of human-automation interaction within them has the classic hallmarks of a vigilance task. Drivers must maintain attention for prolonged periods of time to detect and respond to rare and unpredictable events, for example, roadway hazards that automation may be ill equipped to detect. Given the similarity with traditional vigilance tasks, we predicted that drivers of a simulated automated vehicle would demonstrate a vigilance decrement in hazard detection performance. Participants "drove" a simulated automated vehicle for 40 minutes. During that time, their task was to monitor the roadway for roadway hazards. As predicted, hazard detection rate declined precipitously, and reaction times slowed as the drive progressed. Further, subjective ratings of workload and task-related stress indicated that sustained monitoring is demanding and distressing and it is a challenge to maintain task engagement. Monitoring the roadway for potential hazards during automated driving results in workload, stress, and performance decrements similar to those observed in traditional vigilance tasks. To the degree that vigilance is required of automated vehicle drivers, performance errors and associated safety risks are likely to occur as a function of time on task. Vigilance should be a focal safety concern in the development of vehicle automation.

Modular reconfigurable machines incorporating modular open architecture control

CSIR Research Space (South Africa)

Padayachee, J

2008-01-01

Full Text Available degrees of freedom on a single platform. A corresponding modular Open Architecture Control (OAC) system is presented. OAC overcomes the inflexibility of fixed proprietary automation, ensuring that MRMs provide the reconfigurability and extensibility...

Using Publish-Subscribe Messaging for System Status and Automation

Science.gov (United States)

Smith, Danford S.

2015-01-01

The NASA Goddard Mission Services Evolution Center (GMSEC) system is a message-based plug-and-play open system architecture used in many of NASA mission operations centers. This presentation will focus on the use of GMSEC standard messages to report and analyze the status of a system and enable the automation of the system's components. In GMSEC systems, each component reports its status using a keep-alive message and also publishes status and activities as log messages. In addition, the components can accept functional directive messages from the GMSEC message bus. Over the past several years, development teams have found ways to utilize these messages to create innovative display pages and increasingly sophisticated approaches to automation. This presentation will show the flexibility and value of the message-based approach to system awareness and automation.

Effects of steering demand on lane keeping behaviour, self-reports, and physiology. A simulator study.

Science.gov (United States)

Dijksterhuis, Chris; Brookhuis, Karel A; De Waard, Dick

2011-05-01

In this study a driving simulator was used to determine changes in mental effort in response to manipulations of steering demand. Changes in mental effort were assessed by using subjective effort ratings, physiology, and the standard deviation of the lateral position. Steering demand was increased by exposure to narrow lane widths and high density oncoming traffic while speed was fixed in all conditions to prevent a compensatory reaction. Results indicated that both steering demand factors influence mental effort expenditure and using multiple measures contributes to effort assessment. Application of these outcomes for adaptive automation is envisaged. Copyright © 2010 Elsevier Ltd. All rights reserved.

Nuclear power generation and automation technology

International Nuclear Information System (INIS)

Korei, Yoshiro

1985-01-01

The proportion of nuclear power in the total generated electric power has been increasing year after year, and the ensuring of its stable supply has been demanded. For the further development of nuclear power generation, the heightening of economical efficiency which is the largest merit of nuclear power and the public acceptance as a safe and stable electric power source are the important subjects. In order to solve these subjects, in nuclear power generation, various automation techniques have been applied for the purpose of the heightening of reliability, labor saving and the reduction of radiation exposure. Meeting the high needs of automation, the automation technology aided by computers have been applied to the design, manufacture and construction, operation and maintenance of nuclear power plants. Computer-aided design and the examples of design of a reactor building, pipings and a fuel assembly, an automatic welder for pipings of all position TIG welding type, a new central monitoring and control system, an automatic exchanger of control rod-driving mechanism, an automatic in-service inspection system for nozzles and pipings, and a robot for steam generator maintenance are shown. The trend of technical development and an intelligent moving robot, a system maintenance robot and a four legs walking robot are explained. (Kako, I.)

The Risk of Residential Peak Electricity Demand: A Comparison of Five European Countries

Directory of Open Access Journals (Sweden)

Jacopo Torriti

2017-03-01

Full Text Available The creation of a Europe-wide electricity market combined with the increased intermittency of supply from renewable sources calls for an investigation into the risk of aggregate peak demand. This paper makes use of a risk model to assess differences in time-use data from residential end-users in five different European electricity markets. Drawing on the Multinational Time-Use Survey database, it assesses risk in relation to the probability of electrical appliance use within households for five European countries. Findings highlight in which countries and for which activities the risk of aggregate peak demand is higher and link smart home solutions (automated load control, dynamic pricing and smart appliances to different levels of peak demand risk.

openBEB: open biological experiment browser for correlative measurements.

Science.gov (United States)

Ramakrishnan, Chandrasekhar; Bieri, Andrej; Sauter, Nora; Roizard, Sophie; Ringler, Philippe; Müller, Shirley A; Goldie, Kenneth N; Enimanev, Kaloyan; Stahlberg, Henning; Rinn, Bernd; Braun, Thomas

2014-03-26

New experimental methods must be developed to study interaction networks in systems biology. To reduce biological noise, individual subjects, such as single cells, should be analyzed using high throughput approaches. The measurement of several correlative physical properties would further improve data consistency. Accordingly, a considerable quantity of data must be acquired, correlated, catalogued and stored in a database for subsequent analysis. We have developed openBEB (open Biological Experiment Browser), a software framework for data acquisition, coordination, annotation and synchronization with database solutions such as openBIS. OpenBEB consists of two main parts: A core program and a plug-in manager. Whereas the data-type independent core of openBEB maintains a local container of raw-data and metadata and provides annotation and data management tools, all data-specific tasks are performed by plug-ins. The open architecture of openBEB enables the fast integration of plug-ins, e.g., for data acquisition or visualization. A macro-interpreter allows the automation and coordination of the different modules. An update and deployment mechanism keeps the core program, the plug-ins and the metadata definition files in sync with a central repository. The versatility, the simple deployment and update mechanism, and the scalability in terms of module integration offered by openBEB make this software interesting for a large scientific community. OpenBEB targets three types of researcher, ideally working closely together: (i) Engineers and scientists developing new methods and instruments, e.g., for systems-biology, (ii) scientists performing biological experiments, (iii) theoreticians and mathematicians analyzing data. The design of openBEB enables the rapid development of plug-ins, which will inherently benefit from the "house keeping" abilities of the core program. We report the use of openBEB to combine live cell microscopy, microfluidic control and visual

Open Research Data: From Vision to Practice

CERN Document Server

Pampel, Heinz

2014-01-01

“To make progress in science, we need to be open and share.” This quote from Neelie Kroes (2012), vice president of the European Commission describes the growing public demand for an Open Science. Part of Open Science is, next to Open Access to peer-reviewed publications, the Open Access to research data, the basis of scholarly knowledge. The opportunities and challenges of Data Sharing are discussed widely in the scholarly sector. The cultures of Data Sharing differ within the scholarly disciplines. Well advanced are for example disciplines like biomedicine and earth sciences. Today, more and more funding agencies require a proper Research Data Management and the possibility of data re-use. Many researchers often see the potential of Data Sharing, but they act cautiously. This situation shows a clear ambivalence between the demand for Data Sharing and the current practice of Data Sharing. Starting from a baseline study on current discussions, practices and developments the article describe the challenges...

Automatic systems for opening and closing reactor vessels, steam generators, and pressurizers

International Nuclear Information System (INIS)

Samblat, C.

1990-01-01

The need for shorter working assignments, reduced dose rates and less time consumption have caused Electricite de France and Framatome to automate the entire procedure of opening and closing the main components in the primary system, such as the reactor vessel, steam generator, and pressurizer. The experience accumulated by the two companies in more than 300 annual revisions of nuclear generating units worldwide has been used as a basis for automating all bolt opening and closing steps as well as cleaning processes. The machines and automatic systems currently in operation are the result of extensive studies and practical tests. (orig.) [de

The Job Demands-Resources Model in China: Validation and Extension

OpenAIRE

Hu, Q.

2014-01-01

The Job Demands-Resources (JD-R) Model assumes that employee health and well-being result from the interplay between job demands and job resources. Based on its openheuristic nature, the JD-R model can be applied to various occupational settings, irrespective of the particular demands and resources involved. However, the model has been developed and tested in western countries so that it is still an open question whether it can be applied in the Chinese work context. The objective of this dis...

Overestimation of the 25(OH)D serum concentration with the automated IDS EIA kit.

Science.gov (United States)

Cavalier, Etienne; Huberty, Véronique; Cormier, Catherine; Souberbielle, Jean-Claude

2011-02-01

We have recently observed an increasing number of patients presenting very high serum levels of 25-hydroxyvitamin D [25(OH)D] (> 150 ng/mL), which, in all cases, had been measured with the IDS EIA kit adapted on different "open" automated platforms. We performed a comparison between the IDS EIA kit adapted on two different "open"automated platforms and the DiaSorin RIA. We found a systematic bias (higher levels with the IDS EIA kit) for concentrations more than 50-60 ng/mL that was less obvious when the IDS EIA was used in its manual procedure. We thus suggest to use the IDS EIA kit in its manual procedure rather than to adapt it on an automated platform, and to interpret cautiously a 25(OH)D greater than 100 ng/mL with this kit. Copyright © 2011 American Society for Bone and Mineral Research.

A quantitative measure for degree of automation and its relation to system performance and mental load.

Science.gov (United States)

Wei, Z G; Macwan, A P; Wieringa, P A

1998-06-01

In this paper we quantitatively model degree of automation (DofA) in supervisory control as a function of the number and nature of tasks to be performed by the operator and automation. This model uses a task weighting scheme in which weighting factors are obtained from task demand load, task mental load, and task effect on system performance. The computation of DofA is demonstrated using an experimental system. Based on controlled experiments using operators, analyses of the task effect on system performance, the prediction and assessment of task demand load, and the prediction of mental load were performed. Each experiment had a different DofA. The effect of a change in DofA on system performance and mental load was investigated. It was found that system performance became less sensitive to changes in DofA at higher levels of DofA. The experimental data showed that when the operator controlled a partly automated system, perceived mental load could be predicted from the task mental load for each task component, as calculated by analyzing a situation in which all tasks were manually controlled. Actual or potential applications of this research include a methodology to balance and optimize the automation of complex industrial systems.

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...

Android based security and home automation system

OpenAIRE

Khan, Sadeque Reza; Dristy, Farzana Sultana

2015-01-01

The smart mobile terminal operator platform Android is getting popular all over the world with its wide variety of applications and enormous use in numerous spheres of our daily life. Considering the fact of increasing demand of home security and automation, an Android based control system is presented in this paper where the proposed system can maintain the security of home main entrance and also the car door lock. Another important feature of the designed system is that it can control the o...

Psi4 1.1: An Open-Source Electronic Structure Program Emphasizing Automation, Advanced Libraries, and Interoperability.

Science.gov (United States)

Parrish, Robert M; Burns, Lori A; Smith, Daniel G A; Simmonett, Andrew C; DePrince, A Eugene; Hohenstein, Edward G; Bozkaya, Uğur; Sokolov, Alexander Yu; Di Remigio, Roberto; Richard, Ryan M; Gonthier, Jérôme F; James, Andrew M; McAlexander, Harley R; Kumar, Ashutosh; Saitow, Masaaki; Wang, Xiao; Pritchard, Benjamin P; Verma, Prakash; Schaefer, Henry F; Patkowski, Konrad; King, Rollin A; Valeev, Edward F; Evangelista, Francesco A; Turney, Justin M; Crawford, T Daniel; Sherrill, C David

2017-07-11

Psi4 is an ab initio electronic structure program providing methods such as Hartree-Fock, density functional theory, configuration interaction, and coupled-cluster theory. The 1.1 release represents a major update meant to automate complex tasks, such as geometry optimization using complete-basis-set extrapolation or focal-point methods. Conversion of the top-level code to a Python module means that Psi4 can now be used in complex workflows alongside other Python tools. Several new features have been added with the aid of libraries providing easy access to techniques such as density fitting, Cholesky decomposition, and Laplace denominators. The build system has been completely rewritten to simplify interoperability with independent, reusable software components for quantum chemistry. Finally, a wide range of new theoretical methods and analyses have been added to the code base, including functional-group and open-shell symmetry adapted perturbation theory, density-fitted coupled cluster with frozen natural orbitals, orbital-optimized perturbation and coupled-cluster methods (e.g., OO-MP2 and OO-LCCD), density-fitted multiconfigurational self-consistent field, density cumulant functional theory, algebraic-diagrammatic construction excited states, improvements to the geometry optimizer, and the "X2C" approach to relativistic corrections, among many other improvements.

Automation of static and dynamic non-dispersive liquid phase microextraction. Part 2: Approaches based on impregnated membranes and porous supports.

Science.gov (United States)

Alexovič, Michal; Horstkotte, Burkhard; Solich, Petr; Sabo, Ján

2016-02-11

A critical overview on automation of modern liquid phase microextraction (LPME) approaches based on the liquid impregnation of porous sorbents and membranes is presented. It is the continuation of part 1, in which non-dispersive LPME techniques based on the use of the extraction phase (EP) in the form of drop, plug, film, or microflow have been surveyed. Compared to the approaches described in part 1, porous materials provide an improved support for the EP. Simultaneously they allow to enlarge its contact surface and to reduce the risk of loss by incident flow or by components of surrounding matrix. Solvent-impregnated membranes or hollow fibres are further ideally suited for analyte extraction with simultaneous or subsequent back-extraction. Their use can therefore improve the procedure robustness and reproducibility as well as it "opens the door" to the new operation modes and fields of application. However, additional work and time are required for membrane replacement and renewed impregnation. Automation of porous support-based and membrane-based approaches plays an important role in the achievement of better reliability, rapidness, and reproducibility compared to manual assays. Automated renewal of the extraction solvent and coupling of sample pretreatment with the detection instrumentation can be named as examples. The different LPME methodologies using impregnated membranes and porous supports for the extraction phase and the different strategies of their automation, and their analytical applications are comprehensively described and discussed in this part. Finally, an outlook on future demands and perspectives of LPME techniques from both parts as a promising area in the field of sample pretreatment is given. Copyright © 2015 Elsevier B.V. All rights reserved.

Altering user' acceptance of automation through prior automation exposure.

Science.gov (United States)

Bekier, Marek; Molesworth, Brett R C

2017-06-01

Air navigation service providers worldwide see increased use of automation as one solution to overcome the capacity constraints imbedded in the present air traffic management (ATM) system. However, increased use of automation within any system is dependent on user acceptance. The present research sought to determine if the point at which an individual is no longer willing to accept or cooperate with automation can be manipulated. Forty participants underwent training on a computer-based air traffic control programme, followed by two ATM exercises (order counterbalanced), one with and one without the aid of automation. Results revealed after exposure to a task with automation assistance, user acceptance of high(er) levels of automation ('tipping point') decreased; suggesting it is indeed possible to alter automation acceptance. Practitioner Summary: This paper investigates whether the point at which a user of automation rejects automation (i.e. 'tipping point') is constant or can be manipulated. The results revealed after exposure to a task with automation assistance, user acceptance of high(er) levels of automation decreased; suggesting it is possible to alter automation acceptance.

AutoLabDB: a substantial open source database schema to support a high-throughput automated laboratory.

Science.gov (United States)

Sparkes, Andrew; Clare, Amanda

2012-05-15

Modern automated laboratories need substantial data management solutions to both store and make accessible the details of the experiments they perform. To be useful, a modern Laboratory Information Management System (LIMS) should be flexible and easily extensible to support evolving laboratory requirements, and should be based on the solid foundations of a robust, well-designed database. We have developed such a database schema to support an automated laboratory that performs experiments in systems biology and high-throughput screening. We describe the design of the database schema (AutoLabDB), detailing the main features and describing why we believe it will be relevant to LIMS manufacturers or custom builders. This database has been developed to support two large automated Robot Scientist systems over the last 5 years, where it has been used as the basis of an LIMS that helps to manage both the laboratory and all the experiment data produced.

Library Automation Report, 1996. Multimedia Computers in U.S. Public Schools, 1995-96.

Science.gov (United States)

Quality Education Data, Inc., Denver, CO.

District library media directors face dual demands including competition for limited educational dollars and the need to meet increasingly sophisticated student research requests. To solve these dilemmas, many districts are automating their schools' library media centers. Quality Education Data (QED) is an education research firm providing…

Selectivity and Openness in Israeli Higher Education.

Science.gov (United States)

Guri-Rozenblit, Sarah

1990-01-01

Israel's efforts to respond to growing social demands and to expand higher education are outlined, focusing on the extent of the state's involvement in higher education, demand and supply in Israeli universities, the social and academic functions of the Open University, and the overall academization of postsecondary institutions. (MSE)

Drivability Improvement Control for Vehicle Start-Up Applied to an Automated Manual Transmission

Directory of Open Access Journals (Sweden)

Danna Jiang

2017-01-01

Full Text Available Drivability is the key factor for the automated manual transmission. It includes fast response to the driver’s demand and the driving comfort. This paper deals with a control methodology applied to an automated manual transmission vehicle for drivability enhancement during vehicle start-up phase. Based on a piecewise model of powertrain, a multiple-model predictive controller (mMPC is designed with the engine speed, clutch disc speed, and wheel speed as the measurable input variables and the engine torque reference and clutch friction torque reference as the controller’s output variables. The model not only includes the clutch dynamic, the flexible shaft dynamic, but also includes the actuators’ delay character. Considering the driver’s intention, a slipping speed trajectory is generated based on the acceleration pedal dynamically. The designed control strategy is verified on a complete powertrain and longitudinal vehicle dynamic model with different driver’s torque demands.

The Hammersmith philosophy for PET chemistry automation

International Nuclear Information System (INIS)

Clark, J.C.

1993-01-01

The authors have only automated production of robust chemical syntheses for routine use on a weekly scheduled basis; 18 FDG, 11 C-methylations ampersand H 2 15 O. They use programmable logic controllers (PLC's) to control temp, time and flow. Set-up and run programs are assembled in ladder logic and stored on an EPROM. During set-up, clean dry reaction vessels, product reception vials ampersand reagents are installed. HPLC product peak is cut by remote control valve operation. For 11 C methylations an automated product formulation system is integrated with the HPLC open-quotes cut peakclose quotes and delivers the product via a membrane filter to the delivery vial. A PLC controlled 18 FDG unit, incorporating a closed glassy carbon reactor in a one pot system for fluorination and hydrolytic deprotection has been built. Enriched H 2 18 O is recovered and the product is purified by HPLC. H 2 15 O is infused from a unit housed under the PET scanner couch. It is supplied with 15 O 2 , 5% H 2 ampersand saline for infusion solution ampersand gases are separated by a sterile, pyrogen free water permeable membrane. Infusions are controlled from the scanner console where infused doses are displayed using an open-quotes on boardclose quotes radiation detector. These systems are operated by a small team of trained technicians within a Good Manufacturing Practice framework. Independent Quality Assurance is provided, to qualify for a open-quotes specialsclose quotes radiopharmaceutical Manufacturing Licence

Audit: Automated Disk Investigation Toolkit

Directory of Open Access Journals (Sweden)

Umit Karabiyik

2014-09-01

Full Text Available Software tools designed for disk analysis play a critical role today in forensics investigations. However, these digital forensics tools are often difficult to use, usually task specific, and generally require professionally trained users with IT backgrounds. The relevant tools are also often open source requiring additional technical knowledge and proper configuration. This makes it difficult for investigators without some computer science background to easily conduct the needed disk analysis. In this paper, we present AUDIT, a novel automated disk investigation toolkit that supports investigations conducted by non-expert (in IT and disk technology and expert investigators. Our proof of concept design and implementation of AUDIT intelligently integrates open source tools and guides non-IT professionals while requiring minimal technical knowledge about the disk structures and file systems of the target disk image.

Automated X-ray image analysis for cargo security: Critical review and future promise.

Science.gov (United States)

Rogers, Thomas W; Jaccard, Nicolas; Morton, Edward J; Griffin, Lewis D

2017-01-01

We review the relatively immature field of automated image analysis for X-ray cargo imagery. There is increasing demand for automated analysis methods that can assist in the inspection and selection of containers, due to the ever-growing volumes of traded cargo and the increasing concerns that customs- and security-related threats are being smuggled across borders by organised crime and terrorist networks. We split the field into the classical pipeline of image preprocessing and image understanding. Preprocessing includes: image manipulation; quality improvement; Threat Image Projection (TIP); and material discrimination and segmentation. Image understanding includes: Automated Threat Detection (ATD); and Automated Contents Verification (ACV). We identify several gaps in the literature that need to be addressed and propose ideas for future research. Where the current literature is sparse we borrow from the single-view, multi-view, and CT X-ray baggage domains, which have some characteristics in common with X-ray cargo.

Complacency and Automation Bias in the Use of Imperfect Automation.

Science.gov (United States)

Wickens, Christopher D; Clegg, Benjamin A; Vieane, Alex Z; Sebok, Angelia L

2015-08-01

We examine the effects of two different kinds of decision-aiding automation errors on human-automation interaction (HAI), occurring at the first failure following repeated exposure to correctly functioning automation. The two errors are incorrect advice, triggering the automation bias, and missing advice, reflecting complacency. Contrasts between analogous automation errors in alerting systems, rather than decision aiding, have revealed that alerting false alarms are more problematic to HAI than alerting misses are. Prior research in decision aiding, although contrasting the two aiding errors (incorrect vs. missing), has confounded error expectancy. Participants performed an environmental process control simulation with and without decision aiding. For those with the aid, automation dependence was created through several trials of perfect aiding performance, and an unexpected automation error was then imposed in which automation was either gone (one group) or wrong (a second group). A control group received no automation support. The correct aid supported faster and more accurate diagnosis and lower workload. The aid failure degraded all three variables, but "automation wrong" had a much greater effect on accuracy, reflecting the automation bias, than did "automation gone," reflecting the impact of complacency. Some complacency was manifested for automation gone, by a longer latency and more modest reduction in accuracy. Automation wrong, creating the automation bias, appears to be a more problematic form of automation error than automation gone, reflecting complacency. Decision-aiding automation should indicate its lower degree of confidence in uncertain environments to avoid the automation bias. © 2015, Human Factors and Ergonomics Society.

Automating with SIMATIC S7-1500 configuring, programming and testing with STEP 7 Professional

CERN Document Server

Berger, Hans

2014-01-01

With many innovations, the SIMATIC S7-1500 programmable logic controller (PLC) sets new standards in productivity and efficiency in control technology. By its outstanding system performance and with PROFINET as the standard interface, it ensures extremely short system response times and the highest control quality with a maximum of flexibility for most demanding automation tasks. The engineering software STEP 7 Professional operates inside TIA Portal, a user interface that is designed for intuitive operation. Functionality includes all aspects of Automation: from the configuration of the controllers via the programming in the IEC languages ¿¿LAD, FBD, STL, and SCL up to the program test. In the book, the hardware components of the automation system S7-1500 are presented including the description of their configuration and parameterization. A comprehensive introduction into STEP 7 Professional illustrates the basics of programming and troubleshooting. Beginners learn the basics of automation with Simatic...

Challenges in Gaining Large Scale Carbon Reductions through Wireless Home Automation Systems

DEFF Research Database (Denmark)

Larsen, Peter Gorm; Rovsing, Poul Ejnar; Toftegaard, Thomas Skjødeberg

2010-01-01

Buildings account for more than a 35 % of the energy consumption in Europe. Therefore a step towards more sustainable lifestile is to use home automation to optimize the energy consumption “automatically”. This paper reports about the usage and some of the remaining challenges of especially...... wireless but also powerline communication in a home automation setting. For many years, home automation has been visible to many, but accessible to only a few, because of inadequate integration of systems. A vast number of both standard and proprietary communication protocols are used, and systems...... are often difficult to install and configure so professional assistance is needed. In this paper we report about our experience in constructing an open universal home automation framework enabling interoperability of multiple communication protocols. The framework can easily be expanded in order to support...

Geometry Based Design Automation : Applied to Aircraft Modelling and Optimization

OpenAIRE

Amadori, Kristian

2012-01-01

Product development processes are continuously challenged by demands for increased efficiency. As engineering products become more and more complex, efficient tools and methods for integrated and automated design are needed throughout the development process. Multidisciplinary Design Optimization (MDO) is one promising technique that has the potential to drastically improve concurrent design. MDO frameworks combine several disciplinary models with the aim of gaining a holistic perspective of ...

MVO Automation Platform: Addressing Unmet Needs in Clinical Laboratories with Microcontrollers, 3D Printing, and Open-Source Hardware/Software.

Science.gov (United States)

Iglehart, Brian

2018-05-01

Laboratory automation improves test reproducibility, which is vital to patient care in clinical laboratories. Many small and specialty laboratories are excluded from the benefits of automation due to low sample number, cost, space, and/or lack of automation expertise. The Minimum Viable Option (MVO) automation platform was developed to address these hurdles and fulfill an unmet need. Consumer 3D printing enabled rapid iterative prototyping to allow for a variety of instrumentation and assay setups and procedures. Three MVO versions have been produced. MVOv1.1 successfully performed part of a clinical assay, and results were comparable to those of commercial automation. Raspberry Pi 3 Model B (RPI3) single-board computers with Sense Hardware Attached on Top (HAT) and Raspberry Pi Camera Module V2 hardware were remotely accessed and evaluated for their suitability to qualify the latest MVOv1.2 platform. Sense HAT temperature, barometric pressure, and relative humidity sensors were stable in climate-controlled environments and are useful in identifying appropriate laboratory spaces for automation placement. The RPI3 with camera plus digital dial indicator logged axis travel experiments. RPI3 with camera and Sense HAT as a light source showed promise when used for photometric dispensing tests. Individual well standard curves were necessary for well-to-well light and path length compensations.

Automated gait analysis in the open-field test for laboratory mice.

Science.gov (United States)

Leroy, Toon; Silva, Mitchell; D'Hooge, Rudi; Aerts, Jean-Marie; Berckmans, Daniel

2009-02-01

In this article, an automated and accurate mouse observation method, based on a conventional test for motor function evaluation, is outlined. The proposed measurement technique was integrated in a regular open-field test, where the trajectory and locomotion of a free-moving mouse were measured simultaneously. The system setup consisted of a transparent cage and a camera placed below it with its lens pointing upward, allowing for images to be captured from underneath the cage while the mouse was walking on the transparent cage floor. Thus, additional information was obtained about the position of the limbs of the mice for gait reconstruction. In a first step, the camera was calibrated as soon as it was fixed in place. A linear calibration factor, relating distances in image coordinates to real-world dimensions, was determined. In a second step, the mouse was located and its body contour segmented from the image by subtracting a previously taken "background" image of the empty cage from the camera image. In a third step, the movement of the mouse was analyzed and its speed estimated from its location in the past few images. If the speed was above a 1-sec threshold, the mouse was recognized to be running, and the image was further processed for footprint recognition. In a fourth step, color filtering was applied within the recovered mouse region to measure the position of the mouse's paws, which were visible in the image as small pink spots. Paws that were detected at the same location in a number of subsequent images were kept as footprints-that is, paws in contact with the cage floor. The footprints were classified by their position relative to the mouse's outline as corresponding to the front left or right paw or the hind left or right paw. Finally, eight parameters were calculated from the footprint pattern to describe the locomotion of the mouse: right/left overlap, front/hind base, right/left front limb stride, and right/left hind limb stride. As an application

Building control. Technical building systems: Automation and management; Building Control. Technische Gebaeudesysteme: Automation und Bewirtschaftung

Energy Technology Data Exchange (ETDEWEB)

Kranz, H.R.; Baenninger, M.; Bieler, P.; Brettschneider, J.P.; Damnig, A.; Fassbender, H.W.; Friedrichs, K.; Gauchel, J.; Hegewald, B.; Kaelin, W.; Lezius, A.; Markert, H.; Oehler, A.; Otto, J.; Puettmer, M. Jr.; Rohrbacher, H.; Schuerdt, K.; Vogt, D.; Wittling, J.

1995-12-31

Cost-optimised management and maintenance of buildings can no longer be carried out without electronic data processing. The present anthology gives a comprehensive overview of the planning and operation of building automation systems. The following topics are discussed: ecological cooling and facade concepts, facility management, jeopardy alarm technology, building automation, communication technology, open communication and networks, building system technology, norms and directives, building right and law. A special abstract has been prepared for each of the 23 chapters. (BWI). 260 figs., 161 refs. [Deutsch] Kostenoptimiertes Management, Bewirtschaftung und Instandhaltung von Gebaeuden sind ohne EDV nicht mehr denkbar. Das vorliegende Buch gibt einen umfassenden Ueberblick ueber Planung und Betrieb von Gebaeudeautomationssystemen. Es wird dabei auf folgende Themenkomplexe eingegangen: Oekologische Kuehl- und Fassadenkonzepte; Facility Management, Gefahrenmeldetechnik, Gebaeudeautomation; Kommunikationstechnik, offenen Kommunikation und Netzwerke; Gebaeudesystemtechnik und Installationsbus; Energiemanagement; Betreibererfahrungen; Normen und Richtlinien; Baurecht und Gesetz. Fuer alle 23 Einzelkapitel wurde eine gesonderte inhaltliche Erschliessung durchgefuehrt. (BWI)

Search Analytics: Automated Learning, Analysis, and Search with Open Source

Science.gov (United States)

Hundman, K.; Mattmann, C. A.; Hyon, J.; Ramirez, P.

2016-12-01

The sheer volume of unstructured scientific data makes comprehensive human analysis impossible, resulting in missed opportunities to identify relationships, trends, gaps, and outliers. As the open source community continues to grow, tools like Apache Tika, Apache Solr, Stanford's DeepDive, and Data-Driven Documents (D3) can help address this challenge. With a focus on journal publications and conference abstracts often in the form of PDF and Microsoft Office documents, we've initiated an exploratory NASA Advanced Concepts project aiming to use the aforementioned open source text analytics tools to build a data-driven justification for the HyspIRI Decadal Survey mission. We call this capability Search Analytics, and it fuses and augments these open source tools to enable the automatic discovery and extraction of salient information. In the case of HyspIRI, a hyperspectral infrared imager mission, key findings resulted from the extractions and visualizations of relationships from thousands of unstructured scientific documents. The relationships include links between satellites (e.g. Landsat 8), domain-specific measurements (e.g. spectral coverage) and subjects (e.g. invasive species). Using the above open source tools, Search Analytics mined and characterized a corpus of information that would be infeasible for a human to process. More broadly, Search Analytics offers insights into various scientific and commercial applications enabled through missions and instrumentation with specific technical capabilities. For example, the following phrases were extracted in close proximity within a publication: "In this study, hyperspectral images…with high spatial resolution (1 m) were analyzed to detect cutleaf teasel in two areas. …Classification of cutleaf teasel reached a users accuracy of 82 to 84%." Without reading a single paper we can use Search Analytics to automatically identify that a 1 m spatial resolution provides a cutleaf teasel detection users accuracy of 82

Modeling and Clustering Water Demand Patterns from Real-World Smart Meter Data

OpenAIRE

CHEIFETZ , Nicolas; Noumir , Zineb; Same , Allou; SANDRAZ , Anne-Claire; FELIERS , Cédric; HEIM , Véronique

2017-01-01

Nowadays, drinking water utilities need an acute comprehension of the water demand on their distribution network, in order to efficiently operate the optimization of resources, manage billing and propose new customer services. With the emergence of smart grids, based on automated meter reading (AMR), a better understanding of the consumption modes is now accessible for smart cities with more granularities. In this context, this paper evaluates a novel methodology for identif...

In vivo robotics: the automation of neuroscience and other intact-system biological fields.

Science.gov (United States)

Kodandaramaiah, Suhasa B; Boyden, Edward S; Forest, Craig R

2013-12-01

Robotic and automation technologies have played a huge role in in vitro biological science, having proved critical for scientific endeavors such as genome sequencing and high-throughput screening. Robotic and automation strategies are beginning to play a greater role in in vivo and in situ sciences, especially when it comes to the difficult in vivo experiments required for understanding the neural mechanisms of behavior and disease. In this perspective, we discuss the prospects for robotics and automation to influence neuroscientific and intact-system biology fields. We discuss how robotic innovations might be created to open up new frontiers in basic and applied neuroscience and present a concrete example with our recent automation of in vivo whole-cell patch clamp electrophysiology of neurons in the living mouse brain. © 2013 New York Academy of Sciences.

Optimized mine ventilation on demand (OMVOD)

International Nuclear Information System (INIS)

Anderson, M.

2009-01-01

This paper provided an overview of the Optimized Mine Ventilation on Demand (OMVOD) system that is being installed at Xstrata Nickel Rim South Project and at Vale Inco's Totten Mine in Sudbury. The OMVOD system is designed to dynamically monitor and control air quality and quantity in real time and dilute and remove hazardous substances including diesel particulate matter (DPM), carbon monoxide (CO) and nitrous oxide (NO 2 ). It is also designed to control the thermal environment and provide ventilation for humans as well as mobile equipment engine combustion according to regulatory standards. The paper highlighted the OMVOD system optimization of energy, air quality measurement and control and production management of the mines through real time dynamic automation. Topics of discussion included real-time tracking and monitoring of diesel equipment; real-time tracking of underground miners; real-time evaluation of mine ventilation networks; and real-time control and optimization of ventilation equipment. ABB and Simsmart Technologies have joined forces to provide underground mining customers with a ventilation optimization solution. Simsmart's OMVOD provides proven real time/dynamic automation technology to significantly reduce energy costs, provide health and safety benefits as well as major capital cost savings while realizing an increase in production.

An Organizational-Technical Concept to Deal with Open Source Software License Terms

Directory of Open Access Journals (Sweden)

Sergius Dyck

2016-06-01

Full Text Available Open source software (OSS released under various license terms is widely used as third party libraries in today's software projects. To ensure open source compliance within an organization, a strategic approach to OSS management is needed. As basis for such an approach, we introduce an organizational-technical concept for dealing with the various OSS licenses by using procedural instructions and build automation software. The concept includes the careful consideration of OSS license conditions. The results obtained from this consideration and additional necessary commitments are documented in a so-called license playbook. We introduce procedure instructions enabling a consistent approach for software development using OSS libraries. The procedure instructions are described in a way such that they can be implemented for example for Java projects using the popular build automation tool Apache Maven and the software repository tool Nexus. We give guidance on how to realize such an implementation on basis of automation tools in practice.

Quantitative analysis of spider locomotion employing computer-automated video tracking

DEFF Research Database (Denmark)

Baatrup, E; Bayley, M

1993-01-01

The locomotor activity of adult specimens of the wolf spider Pardosa amentata was measured in an open-field setup, using computer-automated colour object video tracking. The x,y coordinates of the animal in the digitized image of the test arena were recorded three times per second during four...

AN INVESTIGATION INTO THE SIGNIFICANT IMPACTS OF AUTOMATION IN ASSET MANAGEMENT

Directory of Open Access Journals (Sweden)

Benjamin L. Britton

2017-03-01

Full Text Available This paper explores the implications of applying automation, a technological force in which computer systems can fulfill human tasks, into the asset management industry. The investigation explores a number of significant topics in which managers should begin contemplating, including workforce origination post automation, the primary skills necessary to facilitate augmentation, and how robo advisors could challenge an organization’s value proposition. The investigation was centered on Jupiter Asset Management (JAM to support their preparations for automation, as well as to provide insight from the ‘grass roots’. Research centered on interviews with experienced individuals within automative and asset management. The findings identify that current entry level occupations with systematic, repetitive tasks in a fixed domain, will be automated. Placing a greater demand for analytical abilities in junior recruits as the cognitive understanding of what data represents is a weakness of artificial intelligence (AI thus strengthening augmentation between employees and technology. Automated investment profilers known as robo advisors will challenge the value proposition of organizations, such as JAM, which in time will need to be onboard with the technology to remain competitive within a growing millennial market. The paper concludes that there is an evident need for asset management firms to design training processes that blend enhanced senior level shadowing, with programmes focused on broadening juniors’ abilities to interpret and apply AI generated data through a series of newly identified skills.

Initial Assessment and Modeling Framework Development for Automated Mobility Districts: Preprint

Energy Technology Data Exchange (ETDEWEB)

Hou, Yi [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Young, Stanley E [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Garikapati, Venu [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Chen, Yuche [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Zhu, Lei [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

2018-02-07

Automated vehicles (AVs) are increasingly being discussed as the basis for on-demand mobility services, introducing a new paradigm in which a fleet of AVs displaces private automobiles for day-to-day travel in dense activity districts. This paper examines a concept to displace privately owned automobiles within a region containing dense activity generators (jobs, retail, entertainment, etc.), referred to as an automated mobility district (AMD). This paper reviews several such districts, including airports, college campuses, business parks, downtown urban cores, and military bases, with examples of previous attempts to meet the mobility needs apart from private automobiles, some with automated technology and others with more traditional transit-based solutions. The issues and benefits of AMDs are framed within the perspective of intra-district, inter-district, and border issues, and the requirements for a modeling framework are identified to adequately reflect the breadth of mobility, energy, and emissions impact anticipated with AMDs

Building automation: Photovoltaic assisted thermal comfort management system for energy saving

International Nuclear Information System (INIS)

Khan, M Reyasudin Basir; Jidin, Razali; Shaaya, Sharifah Azwa; Pasupuleti, Jagadeesh

2013-01-01

Building automation plays an important key role in the means to reduce building energy consumption and to provide comfort for building occupants. It is often that air conditioning system operating features ignored in building automation which can result in thermal discomfort among building occupants. Most automation system for building is expensive and incurs high maintenance cost. Such system also does not support electricity demand side management system such as load shifting. This paper discusses on centralized monitoring system for room temperature and photovoltaic (PV) output for feasibility study of PV assisted air conditioning system in small office buildings. The architecture of the system consists of PV modules and sensor nodes located at each room. Wireless sensor network technology (WSN) been used for data transmission. The data from temperature sensors and PV modules transmitted to the host personal computer (PC) wirelessly using Zigbee modules. Microcontroller based USB data acquisition device used to receive data from sensor nodes and displays the data on PC.

Building automation: Photovoltaic assisted thermal comfort management system for energy saving

Science.gov (United States)

Reyasudin Basir Khan, M.; Jidin, Razali; Pasupuleti, Jagadeesh; Azwa Shaaya, Sharifah

2013-06-01

Building automation plays an important key role in the means to reduce building energy consumption and to provide comfort for building occupants. It is often that air conditioning system operating features ignored in building automation which can result in thermal discomfort among building occupants. Most automation system for building is expensive and incurs high maintenance cost. Such system also does not support electricity demand side management system such as load shifting. This paper discusses on centralized monitoring system for room temperature and photovoltaic (PV) output for feasibility study of PV assisted air conditioning system in small office buildings. The architecture of the system consists of PV modules and sensor nodes located at each room. Wireless sensor network technology (WSN) been used for data transmission. The data from temperature sensors and PV modules transmitted to the host personal computer (PC) wirelessly using Zigbee modules. Microcontroller based USB data acquisition device used to receive data from sensor nodes and displays the data on PC.

Flexible Automation System for Determination of Elemental Composition of Incrustations in Clogged Biliary Endoprostheses Using ICP-MS.

Science.gov (United States)

Fleischer, Heidi; Ramani, Kinjal; Blitti, Koffi; Roddelkopf, Thomas; Warkentin, Mareike; Behrend, Detlef; Thurow, Kerstin

2018-02-01

Automation systems are well established in industries and life science laboratories, especially in bioscreening and high-throughput applications. An increasing demand of automation solutions can be seen in the field of analytical measurement in chemical synthesis, quality control, and medical and pharmaceutical fields, as well as research and development. In this study, an automation solution was developed and optimized for the investigation of new biliary endoprostheses (stents), which should reduce clogging after implantation in the human body. The material inside the stents (incrustations) has to be controlled regularly and under identical conditions. The elemental composition is one criterion to be monitored in stent development. The manual procedure was transferred to an automated process including sample preparation, elemental analysis using inductively coupled plasma mass spectrometry (ICP-MS), and data evaluation. Due to safety issues, microwave-assisted acid digestion was executed outside of the automation system. The performance of the automated process was determined and validated. The measurement results and the processing times were compared for both the manual and the automated procedure. Finally, real samples of stent incrustations and pig bile were analyzed using the automation system.

Automation Hooks Architecture Trade Study for Flexible Test Orchestration

Science.gov (United States)

Lansdowne, Chatwin A.; Maclean, John R.; Graffagnino, Frank J.; McCartney, Patrick A.

2010-01-01

We describe the conclusions of a technology and communities survey supported by concurrent and follow-on proof-of-concept prototyping to evaluate feasibility of defining a durable, versatile, reliable, visible software interface to support strategic modularization of test software development. The objective is that test sets and support software with diverse origins, ages, and abilities can be reliably integrated into test configurations that assemble and tear down and reassemble with scalable complexity in order to conduct both parametric tests and monitored trial runs. The resulting approach is based on integration of three recognized technologies that are currently gaining acceptance within the test industry and when combined provide a simple, open and scalable test orchestration architecture that addresses the objectives of the Automation Hooks task. The technologies are automated discovery using multicast DNS Zero Configuration Networking (zeroconf), commanding and data retrieval using resource-oriented Restful Web Services, and XML data transfer formats based on Automatic Test Markup Language (ATML). This open-source standards-based approach provides direct integration with existing commercial off-the-shelf (COTS) analysis software tools.

Improving the driver-automation interaction: an approach using automation uncertainty.

Science.gov (United States)

Beller, Johannes; Heesen, Matthias; Vollrath, Mark

2013-12-01

The aim of this study was to evaluate whether communicating automation uncertainty improves the driver-automation interaction. A false system understanding of infallibility may provoke automation misuse and can lead to severe consequences in case of automation failure. The presentation of automation uncertainty may prevent this false system understanding and, as was shown by previous studies, may have numerous benefits. Few studies, however, have clearly shown the potential of communicating uncertainty information in driving. The current study fills this gap. We conducted a driving simulator experiment, varying the presented uncertainty information between participants (no uncertainty information vs. uncertainty information) and the automation reliability (high vs.low) within participants. Participants interacted with a highly automated driving system while engaging in secondary tasks and were required to cooperate with the automation to drive safely. Quantile regressions and multilevel modeling showed that the presentation of uncertainty information increases the time to collision in the case of automation failure. Furthermore, the data indicated improved situation awareness and better knowledge of fallibility for the experimental group. Consequently, the automation with the uncertainty symbol received higher trust ratings and increased acceptance. The presentation of automation uncertaintythrough a symbol improves overall driver-automation cooperation. Most automated systems in driving could benefit from displaying reliability information. This display might improve the acceptance of fallible systems and further enhances driver-automation cooperation.

Free and Open Source Management Information Systems and ...

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

What is the impact of introducing an automated management information system within a microfinance institution or savings and credit cooperative on the employees, the clients and the business processes? The project will involve deployment of an open source management information system (Mifos Vanilla) in two ...

Using microwave Doppler radar in automated manufacturing applications

Science.gov (United States)

Smith, Gregory C.

Since the beginning of the Industrial Revolution, manufacturers worldwide have used automation to improve productivity, gain market share, and meet growing or changing consumer demand for manufactured products. To stimulate further industrial productivity, manufacturers need more advanced automation technologies: "smart" part handling systems, automated assembly machines, CNC machine tools, and industrial robots that use new sensor technologies, advanced control systems, and intelligent decision-making algorithms to "see," "hear," "feel," and "think" at the levels needed to handle complex manufacturing tasks without human intervention. The investigator's dissertation offers three methods that could help make "smart" CNC machine tools and industrial robots possible: (1) A method for detecting acoustic emission using a microwave Doppler radar detector, (2) A method for detecting tool wear on a CNC lathe using a Doppler radar detector, and (3) An online non-contact method for detecting industrial robot position errors using a microwave Doppler radar motion detector. The dissertation studies indicate that microwave Doppler radar could be quite useful in automated manufacturing applications. In particular, the methods developed may help solve two difficult problems that hinder further progress in automating manufacturing processes: (1) Automating metal-cutting operations on CNC machine tools by providing a reliable non-contact method for detecting tool wear, and (2) Fully automating robotic manufacturing tasks by providing a reliable low-cost non-contact method for detecting on-line position errors. In addition, the studies offer a general non-contact method for detecting acoustic emission that may be useful in many other manufacturing and non-manufacturing areas, as well (e.g., monitoring and nondestructively testing structures, materials, manufacturing processes, and devices). By advancing the state of the art in manufacturing automation, the studies may help

Effective Management of High-Use/High-Demand Space Using Restaurant-Style Pagers

Science.gov (United States)

Gonzalez, Adriana

2012-01-01

The library landscape is changing at a fast pace, with an increase in the demand for study space including quiet, individualized study space; open group study space; and as enclosed group study space. In large academic libraries, managing limited high-demand resources is crucial and is partially being driven by the greater emphasis on group…

Distributed GIS for automated natural hazard zonation mapping Internet-SMS warning towards sustainable society

Directory of Open Access Journals (Sweden)

Devanjan Bhattacharya

2014-12-01

Full Text Available Today, open systems are needed for real time analysis and warnings on geo-hazards and over time can be achieved using Open Source Geographical Information System (GIS-based platform such as GeoNode which is being contributed to by developers around the world. To develop on an open source platform is a very vital component for better disaster information management as far as spatial data infrastructures are concerned and this would be extremely vital when huge databases are to be created and consulted regularly for city planning at different scales, particularly satellite images and maps of locations. There is a big need for spatially referenced data creation, analysis, and management. Some of the salient points that this research would be able to definitely contribute with GeoNode, being an open source platform, are facilitating the creation, sharing, and collaborative use of geospatial data. The objective is development of an automated natural hazard zonation system with Internet-short message service (SMS warning utilizing geomatics for sustainable societies. A concept of developing an internet-resident geospatial geohazard warning system has been put forward in this research, which can communicate alerts via SMS. There has been a need to develop an automated integrated system to categorize hazard and issue warning that reaches users directly. At present, no web-enabled warning system exists which can disseminate warning after hazard evaluation at one go and in real time. The objective of this research work has been to formalize a notion of an integrated, independent, generalized, and automated geo-hazard warning system making use of geo-spatial data under popular usage platform. In this paper, a model of an automated geo-spatial hazard warning system has been elaborated. The functionality is to be modular in architecture having GIS-graphical user interface (GUI, input, understanding, rainfall prediction, expert, output, and warning modules. A

Automation and Optimization of Multipulse Laser Zona Drilling of Mouse Embryos During Embryo Biopsy.

Science.gov (United States)

Wong, Christopher Yee; Mills, James K

2017-03-01

Laser zona drilling (LZD) is a required step in many embryonic surgical procedures, for example, assisted hatching and preimplantation genetic diagnosis. LZD involves the ablation of the zona pellucida (ZP) using a laser while minimizing potentially harmful thermal effects on critical internal cell structures. Develop a method for the automation and optimization of multipulse LZD, applied to cleavage-stage embryos. A two-stage optimization is used. The first stage uses computer vision algorithms to identify embryonic structures and determines the optimal ablation zone farthest away from critical structures such as blastomeres. The second stage combines a genetic algorithm with a previously reported thermal analysis of LZD to optimize the combination of laser pulse locations and pulse durations. The goal is to minimize the peak temperature experienced by the blastomeres while creating the desired opening in the ZP. A proof of concept of the proposed LZD automation and optimization method is demonstrated through experiments on mouse embryos with positive results, as adequately sized openings are created. Automation of LZD is feasible and is a viable step toward the automation of embryo biopsy procedures. LZD is a common but delicate procedure performed by human operators using subjective methods to gauge proper LZD procedure. Automation of LZD removes human error to increase the success rate of LZD. Although the proposed methods are developed for cleavage-stage embryos, the same methods may be applied to most types LZD procedures, embryos at different developmental stages, or nonembryonic cells.

Rules-based analysis with JBoss Drools: adding intelligence to automation

International Nuclear Information System (INIS)

Ley, E. de; Jacobs, D.

2012-01-01

Rule engines are specialized software systems for applying conditional actions (if/then rules) on data. They are also known as 'production rule systems'. Rules engines are less-known as software technology than the traditional procedural, object-oriented, scripting or dynamic development languages. This is a pity, as their usage may offer an important enrichment to a development toolbox. JBoss Drools is an open-source rules engine that can easily be embedded in any Java application. Through an integration in our Passerelle process automation suite, we have been able to provide advanced solutions for intelligent process automation, complex event processing, system monitoring and alarming, automated repair etc. This platform has been proven for many years as an automated diagnosis and repair engine for Belgium's largest telecom provider, and it is being piloted at Synchrotron Soleil for device monitoring and alarming. After an introduction to rules engines in general and JBoss Drools in particular, we will present its integration in a solution platform, some important principles and a practical use case. (authors)

Automation of Personnel Certification Roadbuilding Departments and Enterprises

Directory of Open Access Journals (Sweden)

Andrey Vladimirovich Ostroukh

2015-10-01

Full Text Available The article suggests science-based solutions to improve the efficiency of personnel certification of road construction departments and enterprises by developing an integrated learning environment based on an automated system of distance learning with the open source software and methodological support, tailored to the professional standards. Personnel certification procedure of road construction departments and enterprises for optimization and automation is analyzed. Optimization solutions for all stages of the preparation and conduction conformance testing to create test tasks for batch import of test tasks in a database of test tasks and adaptive algorithm for bringing the subject of tests proposed and implemented. The developed technique of adaptive presentation may perform various functions, depending on the settings of the algorithm.

A spectrum of applications of automated reasoning

International Nuclear Information System (INIS)

Wos, L.

2002-01-01

The likelihood of an automated reasoning program being of substantial assistance for a wide spectrum of applications rests with the nature of the options and parameters it offers on which to base needed strategies and methodologies. This article focuses on such a spectrum, featuring W. McCune's program OTTER, discussing widely varied successes in answering open questions, and touching on some of the strategies and methodologies that played a key role. The applications include finding a first proof, discovering single axioms, locating improved axiom systems, and simplifying existing proofs. The last application is directly pertinent to the recently found (by R. Thiele) Hilbert's twenty-fourth problem-which is extremely amenable to attack with the appropriate automated reasoning program, a problem concerned with proof simplification. The methodologies include those for seeking shorter proofs and for finding proofs that avoid unwanted lemmas or classes of term, a specific option for seeking proofs with smaller equational or formula complexity, and a different option to address the variable richness of a proof. The type of proof one obtains with the use of OTTER is Hilbert-style axiomatic, including details that permit one sometimes to gain new insights. We include questions still open and challenges that merit consideration

A location-routing problem model with multiple periods and fuzzy demands

Directory of Open Access Journals (Sweden)

Ali Nadizadeh

2014-08-01

Full Text Available This paper puts forward a dynamic capacitated location-routing problem with fuzzy demands (DCLRP-FD. It is given on input a set of identical vehicles (each having a capacity, a fixed cost and availability level, a set of depots with restricted capacities and opening costs, a set of customers with fuzzy demands, and a planning horizon with multiple periods. The problem consists of determining the depots to be opened only in the first period of the planning horizon, the customers and the vehicles to be assigned to each opened depot, and performing the routes that may be changed in each time period due to fuzzy demands. A fuzzy chance-constrained programming (FCCP model has been designed using credibility theory and a hybrid heuristic algorithm with four phases is presented in order to solve the problem. To obtain the best value of the fuzzy parameters of the model and show the influence of the availability level of vehicles on final solution, some computational experiments are carried out. The validity of the model is then evaluated in contrast with CLRP-FD's models in the literature. The results indicate that the model and the proposed algorithm are robust and could be used in real world problems.

Automated Metadata Formatting for Cornell’s Print-on-Demand Books

Directory of Open Access Journals (Sweden)

Dianne Dietrich

2009-11-01

Full Text Available Cornell University Library has made Print-On Demand (POD books available for many of its digitized out-of-copyright books. The printer must be supplied with metadata from the MARC bibliographic record in order to produce book covers. Although the names of authors are present in MARC records, they are given in an inverted order suitable for alphabetical filing rather than the natural order that is desirable for book covers. This article discusses a process for parsing and manipulating the MARC author strings to identify their various component parts and to create natural order strings. In particular, the article focuses on processing non-name information in author strings, such as titles that were commonly used in older works, e.g., baron or earl, and suffixes appended to names, e.g., "of Bolsena." Relevant patterns are identified and a Python script is used to manipulate the author name strings.

Estimating Reduced Consumption for Dynamic Demand Response

Energy Technology Data Exchange (ETDEWEB)

Chelmis, Charalampos [Univ. of Southern California, Los Angeles, CA (United States); Aman, Saima [Univ. of Southern California, Los Angeles, CA (United States); Saeed, Muhammad Rizwan [Univ. of Southern California, Los Angeles, CA (United States); Frincu, Marc [Univ. of Southern California, Los Angeles, CA (United States); Prasanna, Viktor K. [Univ. of Southern California, Los Angeles, CA (United States)

2015-01-30

Growing demand is straining our existing electricity generation facilities and requires active participation of the utility and the consumers to achieve energy sustainability. One of the most effective and widely used ways to achieve this goal in the smart grid is demand response (DR), whereby consumers reduce their electricity consumption in response to a request sent from the utility whenever it anticipates a peak in demand. To successfully plan and implement demand response, the utility requires reliable estimate of reduced consumption during DR. This also helps in optimal selection of consumers and curtailment strategies during DR. While much work has been done on predicting normal consumption, reduced consumption prediction is an open problem that is under-studied. In this paper, we introduce and formalize the problem of reduced consumption prediction, and discuss the challenges associated with it. We also describe computational methods that use historical DR data as well as pre-DR conditions to make such predictions. Our experiments are conducted in the real-world setting of a university campus microgrid, and our preliminary results set the foundation for more detailed modeling.

An Analysis of Open Source Security Software Products Downloads

Science.gov (United States)

Barta, Brian J.

2014-01-01

Despite the continued demand for open source security software, a gap in the identification of success factors related to the success of open source security software persists. There are no studies that accurately assess the extent of this persistent gap, particularly with respect to the strength of the relationships of open source software…

Aviation Frontiers: On-Demand Aircraft

Science.gov (United States)

Moore, Mark D.

2010-01-01

Throughout the 20th Century, NASA has defined the forefront of aeronautical technology, and the aviation industry owes much of its prosperity to this knowledge and technology. In recent decades, centralized aeronautics has become a mature discipline, which raises questions concerning the future aviation innovation frontiers. Three transformational aviation capabilities, bounded together by the development of a Free Flight airspace management system, have the potential to transform 21st Century society as profoundly as civil aviation transformed the 20th Century. These mobility breakthroughs will re-establish environmental sustainable centralized aviation, while opening up latent markets for civil distributed sensing and on-demand rural and regional transportation. Of these three transformations, on-demand aviation has the potential to have the largest market and productivity improvement to society. The information system revolution over the past 20 years shows that vehicles lead, and the interconnecting infrastructure to make them more effective follows; that is, unless on-demand aircraft are pioneered, a distributed Air Traffic Control system will likely never be established. There is no single technology long-pole that will enable on-demand vehicle solutions. However, fully digital aircraft that include electric propulsion has the potential to be a multi-disciplinary initiator of solid state technologies that can provide order of magnitude improvements in the ease of use, safety/reliability, community and environmental friendliness, and affordability.

Galileo battery testing and the impact of test automation

Science.gov (United States)

Pertuch, W. T.; Dils, C. T.

1985-01-01

Test complexity, changes of test specifications, and the demand for tight control of tests led to the development of automated testing used for Galileo and other projects. The use of standardized interfacing, i.e., IEEE-488, with desktop computers and test instruments, resulted in greater reliability, repeatability, and accuracy of both control and data reporting. Increased flexibility of test programming has reduced costs by permitting a wide spectrum of test requirements at one station rather than many stations.

Exploring ethical justification for self-demand amputation.

Science.gov (United States)

Tomasini, Floris

2006-01-01

Self-demand amputees are persons who need to have one or more healthy limbs or digits amputated to fit the way they see themselves. They want to rid themselves of a limb that they believe does not belong to their body-identity. The obsessive desire to have appendages surgically removed to fit an alternative body-image is medically and ethically controversial. My purpose in this paper is to provide a number of normative and professional ethical perspectives on whether or not it is possible to justify surgery for self-demand amputees. In doing so I proceed dialogically, moving between empirical context and normative theory, revealing the taken for granted normative assumptions (what I call the natural attitude--a technical term borrowed from phenomenology) that provide ethical limits to justifying the treatment of self-demand amputees. While I critically examine both Kantian responses against as well as Utilitarian responses for amputation on demand, I conclude that neither normative tradition can fully incorporate an understanding of what it is like to be a self-demand amputee. Since neither theory can justify the apparent non-rational desire of amputation on demand, ethical justification, I argue, falls short of the recognition that there may be a problem. To end, I introduce a meta-ethical idea, "the struggle for recognition," opening up the theoretical possibility of a hermeneutics of recognition before ethical justification that may be more sensitive to the problem of radical embodied difference exemplified by self-demand amputees.

Neural network controller for Active Demand-Side Management with PV energy in the residential sector

International Nuclear Information System (INIS)

Matallanas, E.; Castillo-Cagigal, M.; Gutiérrez, A.; Monasterio-Huelin, F.; Caamaño-Martín, E.; Masa, D.; Jiménez-Leube, J.

2012-01-01

Highlights: ► We have developed a neural controller for Active Demand-Side Management. ► The controller consists of Multilayer Perceptrons evolved with a genetic algorithm. ► The architecture of the controller is distributed and modular. ► The simulations show that the electrical local behavior improves. ► Active Demand-Side Management helps users to control his energy behaviour. -- Abstract: In this paper, we describe the development of a control system for Demand-Side Management in the residential sector with Distributed Generation. The electrical system under study incorporates local PV energy generation, an electricity storage system, connection to the grid and a home automation system. The distributed control system is composed of two modules: a scheduler and a coordinator, both implemented with neural networks. The control system enhances the local energy performance, scheduling the tasks demanded by the user and maximizing the use of local generation.

Open-Source Tools for Enhancing Full-Text Searching of OPACs: Use of Koha, Greenstone and Fedora

Science.gov (United States)

Anuradha, K. T.; Sivakaminathan, R.; Kumar, P. Arun

2011-01-01

Purpose: There are many library automation packages available as open-source software, comprising two modules: staff-client module and online public access catalogue (OPAC). Although the OPAC of these library automation packages provides advanced features of searching and retrieval of bibliographic records, none of them facilitate full-text…

Cleaning Data with OpenRefine

Directory of Open Access Journals (Sweden)

Seth van Hooland

2013-08-01

Full Text Available Duplicate records, empty values and inconsistent formats are phenomena we should be prepared to deal with when using historical data sets. This lesson will teach you how to discover inconsistencies in data contained within a spreadsheet or a database. As we increasingly share, aggregate and reuse data on the web, historians will need to respond to data quality issues which inevitably pop up. Using a program called OpenRefine, you will be able to easily identify systematic errors such as blank cells, duplicates, spelling inconsistencies, etc. OpenRefine not only allows you to quickly diagnose the accuracy of your data, but also to act upon certain errors in an automated manner.

FRAME (Force Review Automation Environment): MATLAB-based AFM data processor.

Science.gov (United States)

Partola, Kostyantyn R; Lykotrafitis, George

2016-05-03

Data processing of force-displacement curves generated by atomic force microscopes (AFMs) for elastic moduli and unbinding event measurements is very time consuming and susceptible to user error or bias. There is an evident need for consistent, dependable, and easy-to-use AFM data processing software. We have developed an open-source software application, the force review automation environment (or FRAME), that provides users with an intuitive graphical user interface, automating data processing, and tools for expediting manual processing. We did not observe a significant difference between manually processed and automatically processed results from the same data sets. Copyright © 2016 Elsevier Ltd. All rights reserved.

Flexible demand in the GB domestic electricity sector in 2030

International Nuclear Information System (INIS)

Drysdale, Brian; Wu, Jianzhong; Jenkins, Nick

2015-01-01

Highlights: • Annual domestic demand by category and daily flexible load profiles are shown to 2030. • Valuable flexible demand requires loads to be identifiable, accessible, and useful. • The extent of flexible demand varies significantly on a diurnal and seasonal basis. • Barriers to accessing domestic demand include multiple low value loads and apathy. • Existing market structure a barrier to fully rewarding individual load flexibility. - Abstract: In order to meet greenhouse gas emissions targets the Great Britain (GB) future electricity supply will include a higher fraction of non-dispatchable generation, increasing opportunities for demand side management to maintain a supply/demand balance. This paper examines the extent of flexible domestic demand (FDD) in GB, its usefulness in system balancing and appropriate incentives to encourage consumers to participate. FDD, classified as electric space and water heating (ESWH), and cold and wet appliances, amounts to 59 TW h in 2012 (113 TW h total domestic demand) and is calculated to increase to 67 TW h in 2030. Summer and winter daily load profiles for flexible loads show significant seasonal and diurnal variations in the total flexible load and between load categories. Low levels of reflective consumer engagement with electricity consumption and a resistance to automation present barriers to effective access to FDD. A value of £1.97/household/year has been calculated for cold appliance loads used for frequency response in 2030, using 2013 market rates. The introduction of smart meters in GB by 2020 will allow access to FDD for system balancing. The low commercial value of individual domestic loads increases the attractiveness of non-financial incentives to fully exploit FDD. It was shown that appliance loads have different characteristics which can contribute to an efficient power system in different ways

An automated, open-source pipeline for mass production of digital elevation models (DEMs) from very-high-resolution commercial stereo satellite imagery

Science.gov (United States)

Shean, David E.; Alexandrov, Oleg; Moratto, Zachary M.; Smith, Benjamin E.; Joughin, Ian R.; Porter, Claire; Morin, Paul

2016-06-01

We adapted the automated, open source NASA Ames Stereo Pipeline (ASP) to generate digital elevation models (DEMs) and orthoimages from very-high-resolution (VHR) commercial imagery of the Earth. These modifications include support for rigorous and rational polynomial coefficient (RPC) sensor models, sensor geometry correction, bundle adjustment, point cloud co-registration, and significant improvements to the ASP code base. We outline a processing workflow for ˜0.5 m ground sample distance (GSD) DigitalGlobe WorldView-1 and WorldView-2 along-track stereo image data, with an overview of ASP capabilities, an evaluation of ASP correlator options, benchmark test results, and two case studies of DEM accuracy. Output DEM products are posted at ˜2 m with direct geolocation accuracy of process individual stereo pairs on a local workstation, the methods presented here were developed for large-scale batch processing in a high-performance computing environment. We are leveraging these resources to produce dense time series and regional mosaics for the Earth's polar regions.

A State of the Art Review on the Impact of Technology on Skill Demand in OECD Countries.

Science.gov (United States)

Kim, Young-Hwa

2002-01-01

Review of research since the 1980s shows a consistent trend toward higher skill demands in Organisation for Economic Cooperation and Development countries. There is evidence both that higher skills are needed to implement technology and that implementing technology raises skill requirements. Automation is displacing low-skilled jobs and creating…

PUCK: An Automated Prompting System for Smart Environments: Towards achieving automated prompting; Challenges involved.

Science.gov (United States)

Das, Barnan; Cook, Diane J; Schmitter-Edgecombe, Maureen; Seelye, Adriana M

2012-10-01

The growth in popularity of smart environments has been quite steep in the last decade and so has the demand for smart health assistance systems. A smart home-based prompting system can enhance these technologies to deliver in-home interventions to users for timely reminders or brief instructions describing the way a task should be done for successful completion. This technology is in high demand given the desire of people who have physical or cognitive limitations to live independently in their homes. In this paper, with the introduction of the "PUCK" prompting system, we take an approach to automate prompting-based interventions without any predefined rule sets or user feedback. Unlike other approaches, we use simple off-the-shelf sensors and learn the timing for prompts based on real data that is collected with volunteer participants in our smart home test bed. The data mining approaches taken to solve this problem come with the challenge of an imbalanced class distribution that occurs naturally in the data. We propose a variant of an existing sampling technique, SMOTE, to deal with the class imbalance problem. To validate the approach, a comparative analysis with Cost Sensitive Learning is performed.

The surveillance state of behavioral automation

Science.gov (United States)

Schaefer, Andreas T; Claridge-Chang, Adam

2012-01-01

Genetics’ demand for increased throughput is driving automatization of behavior analysis far beyond experimental workhorses like circadian monitors and the operant conditioning box. However, the new automation is not just faster: it is also allowing new kinds of experiments, many of which erase the boundaries of the traditional neuroscience disciplines (psychology, ethology and physiology) while producing insight into problems that were otherwise opaque. Ironically, a central theme of current automatization is to improve observation of animals in increasingly naturalistic environments. This is not just a return to 19th century priorities: the new observational methods provide unprecedented quantitation of actions and ever-closer integration with experimentation. PMID:22119142

Automation technology saves 30% energy; Automatisierungstechnik spart 30% Energie ein

Energy Technology Data Exchange (ETDEWEB)

Klinkow, Torsten; Meyer, Michael [Wago Kontakttechnik GmbH und Co. KG, Minden (Germany)

2013-04-01

A systematic energy management is in more demand than ever in order to reduce the increasing energy costs. What used to be a difficult puzzle consisting of different technology components in the early days is today easier to solve by means of a standardized and cost-effective automation technology. With its IO system, Wago Kontakttechnik GmbH and Co. KG (Minden, Federal Republic of Germany) supplies a complete and coordinated portfolio for the energy efficiency.

Low cost automation

International Nuclear Information System (INIS)

1987-03-01

This book indicates method of building of automation plan, design of automation facilities, automation and CHIP process like basics of cutting, NC processing machine and CHIP handling, automation unit, such as drilling unit, tapping unit, boring unit, milling unit and slide unit, application of oil pressure on characteristics and basic oil pressure circuit, application of pneumatic, automation kinds and application of process, assembly, transportation, automatic machine and factory automation.

Designing a fully automated multi-bioreactor plant for fast DoE optimization of pharmaceutical protein production.

Science.gov (United States)

Fricke, Jens; Pohlmann, Kristof; Jonescheit, Nils A; Ellert, Andree; Joksch, Burkhard; Luttmann, Reiner

2013-06-01

The identification of optimal expression conditions for state-of-the-art production of pharmaceutical proteins is a very time-consuming and expensive process. In this report a method for rapid and reproducible optimization of protein expression in an in-house designed small-scale BIOSTAT® multi-bioreactor plant is described. A newly developed BioPAT® MFCS/win Design of Experiments (DoE) module (Sartorius Stedim Systems, Germany) connects the process control system MFCS/win and the DoE software MODDE® (Umetrics AB, Sweden) and enables therefore the implementation of fully automated optimization procedures. As a proof of concept, a commercial Pichia pastoris strain KM71H has been transformed for the expression of potential malaria vaccines. This approach has allowed a doubling of intact protein secretion productivity due to the DoE optimization procedure compared to initial cultivation results. In a next step, robustness regarding the sensitivity to process parameter variability has been proven around the determined optimum. Thereby, a pharmaceutical production process that is significantly improved within seven 24-hour cultivation cycles was established. Specifically, regarding the regulatory demands pointed out in the process analytical technology (PAT) initiative of the United States Food and Drug Administration (FDA), the combination of a highly instrumented, fully automated multi-bioreactor platform with proper cultivation strategies and extended DoE software solutions opens up promising benefits and opportunities for pharmaceutical protein production. Copyright © 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

An automated tensile machine for small specimens heavily neutron irradiated in FFTF/MOTA

International Nuclear Information System (INIS)

Kohyama, Akira; Sato, Shinji; Hamada, Kenichi

1993-01-01

The objective of this work is to develop a fully automated tensile machine for post-irradiation examination (PIE) of Fast Flux Test Facility (FFTF)/Materials Open Test Assembly (MOTA) irradiated miniature tension specimens. The anticipated merit of the automated tensile machine is to reduce damage to specimens during specimen handling for PIE and to reduce exposure to radioactive specimens. This machine is designed for testing at elevated temperatures, up to 873 K, in a vacuum or in an inert gas environment. Twelve specimen assemblies are placed in the vacuum chamber that can be tested successively in a fully automated manner. A unique automated tensile machine for the PIE of FFTF/MOTA irradiated specimens, the Monbusho Automated Tensile Machine (MATRON) consists of a test frame with controlling units and an automated specimen-loading apparatus. The qualification of the test frame has been completed, and the results have satisfied the machine specifications. The capabilities of producing creep and relaxation data have been demonstrated for Cu, Al, 316SS, and ferritic steels. The specimen holders for the three-point bending test and the small bulge test (small punch test; SP test) were also designed and produced

The prospects for Russian gas demand and exports

International Nuclear Information System (INIS)

Stern, J.; Dobozi, I.; Maichel, G.; de Vries, R.

1995-01-01

Three contributions to the debate on the future of Russian internal gas demand and exports are presented. In the first, it is argued that Russia's domestic demand will continue to fall due to a combination of payment enforcement for large industrial enterprises and their closure arising from restructuring. Information on gas demand is difficult to interpret, but the most significant factor during 1993-94 was the non-payment of bills without supply disconnection. It is estimated that the falling internal demand will put Russia in the position by 2010 of being able roughly to double its exports to Europe compared with 1993. This could be at relatively low cost since the requirement for investment in production and transmission facilities will not be large. The second author examines economic factors that will decided the size of the Russian ''gas bubble''. Uncertainties in domestic demand open up a wide range of scenarios. The predictions of the first author are regarded as an extreme ''low demand case''. Factors which could increase demand are an anticipated turnaround in the Russian economy in the mid 1990s and the likelihood of energy intensive industries, in which gas would have a competitive advantage, remaining as the backbone of the economy. The third contribution discusses natural gas supply and demand forecasts for Western Europe and concludes that the completion of the Gamal-Europe project, completing a second gas supply line from Russia to Europe, is essential. (U.K.)

Medical record automation at the Los Alamos Scientific Laboratory

International Nuclear Information System (INIS)

Hogle, G.O.; Grier, R.S.

1979-01-01

With the increase in population at the Los Alamos Scientific Laboratory and the growing concern over employee health, especially concerning the effects of the work environment, the Occupational Medicine Group decided to automate its medical record keeping system to meet these growing demands. With this computer system came not only the ability for long-term study of the work environment verses employee health, but other benefits such as more comprehensive records, increased legibility, reduced physician time, and better records management

The digital code driven autonomous synthesis of ibuprofen automated in a 3D-printer-based robot.

Science.gov (United States)

Kitson, Philip J; Glatzel, Stefan; Cronin, Leroy

2016-01-01

An automated synthesis robot was constructed by modifying an open source 3D printing platform. The resulting automated system was used to 3D print reaction vessels (reactionware) of differing internal volumes using polypropylene feedstock via a fused deposition modeling 3D printing approach and subsequently make use of these fabricated vessels to synthesize the nonsteroidal anti-inflammatory drug ibuprofen via a consecutive one-pot three-step approach. The synthesis of ibuprofen could be achieved on different scales simply by adjusting the parameters in the robot control software. The software for controlling the synthesis robot was written in the python programming language and hard-coded for the synthesis of ibuprofen by the method described, opening possibilities for the sharing of validated synthetic 'programs' which can run on similar low cost, user-constructed robotic platforms towards an 'open-source' regime in the area of chemical synthesis.

The digital code driven autonomous synthesis of ibuprofen automated in a 3D-printer-based robot

Directory of Open Access Journals (Sweden)

Philip J. Kitson

2016-12-01

Full Text Available An automated synthesis robot was constructed by modifying an open source 3D printing platform. The resulting automated system was used to 3D print reaction vessels (reactionware of differing internal volumes using polypropylene feedstock via a fused deposition modeling 3D printing approach and subsequently make use of these fabricated vessels to synthesize the nonsteroidal anti-inflammatory drug ibuprofen via a consecutive one-pot three-step approach. The synthesis of ibuprofen could be achieved on different scales simply by adjusting the parameters in the robot control software. The software for controlling the synthesis robot was written in the python programming language and hard-coded for the synthesis of ibuprofen by the method described, opening possibilities for the sharing of validated synthetic ‘programs’ which can run on similar low cost, user-constructed robotic platforms towards an ‘open-source’ regime in the area of chemical synthesis.

AUTOMATION OF CONVEYOR BELT TRANSPORT

Directory of Open Access Journals (Sweden)

Nenad Marinović

1990-12-01

Full Text Available Belt conveyor transport, although one of the most economical mining transport system, introduce many problems to mantain the continuity of the operation. Every stop causes economical loses. Optimal operation require correct tension of the belt, correct belt position and velocity and faultless rolls, which are together input conditions for automation. Detection and position selection of the faults are essential for safety to eliminate fire hazard and for efficient maintenance. Detection and location of idler roll faults are still open problem and up to now not solved successfully (the paper is published in Croatian.

Computational Methods for Physical Model Information Management: Opening the Aperture

International Nuclear Information System (INIS)

Moser, F.; Kirgoeze, R.; Gagne, D.; Calle, D.; Murray, J.; Crowley, J.

2015-01-01

The volume, velocity and diversity of data available to analysts are growing exponentially, increasing the demands on analysts to stay abreast of developments in their areas of investigation. In parallel to the growth in data, technologies have been developed to efficiently process, store, and effectively extract information suitable for the development of a knowledge base capable of supporting inferential (decision logic) reasoning over semantic spaces. These technologies and methodologies, in effect, allow for automated discovery and mapping of information to specific steps in the Physical Model (Safeguard's standard reference of the Nuclear Fuel Cycle). This paper will describe and demonstrate an integrated service under development at the IAEA that utilizes machine learning techniques, computational natural language models, Bayesian methods and semantic/ontological reasoning capabilities to process large volumes of (streaming) information and associate relevant, discovered information to the appropriate process step in the Physical Model. The paper will detail how this capability will consume open source and controlled information sources and be integrated with other capabilities within the analysis environment, and provide the basis for a semantic knowledge base suitable for hosting future mission focused applications. (author)

OpenBAN: An Open Building ANalytics Middleware for Smart Buildings

Directory of Open Access Journals (Sweden)

Pandarasamy Arjunan

2016-03-01

Full Text Available Towards the realization of smart building applications, buildings are increasingly instrumented with diverse sensors and actuators. These sensors generate large volumes of data which can be analyzed for optimizing building operations. Many building energy management tasks such as energy forecasting, disaggregation, among others require complex analytics leveraging collected sensor data. While several standalone and cloud-based systems for archiving, sharing and visualizing sensor data have emerged, their support for analyzing sensor data streams is primitive and limited to rule-based actions based on thresholds and simple aggregation functions. We develop OpenBAN, an open source sensor data analytics middleware for buildings, to make analytics an integral component of modern smart building applications. OpenBAN provides a framework of extensible sensor data processing elements for identifying various building context, which different applications can leverage. We validate the capabilities of OpenBAN by developing three representative real-world applications which are deployed in our test-bed buildings: (i household energy disaggregation, (ii detection of sprinkler usage from water meter data, and (iii electricity demand forecasting. We also provide a preliminary system performance of OpenBAN when deployed in the cloud and locally.

Coping with Unemployment: Personality, Role Demands, and Time Structure

Science.gov (United States)

Van Hoye, Greet; Lootens, Hanne

2013-01-01

Time structure has been found to be an important coping mechanism for dealing with the negative effects of unemployment on psychological well-being. This study extends the literature by investigating personality (openness to experience, conscientiousness, extraversion, neuroticism, and proactivity) and role demands (marital status, being the only…

An automated quasi-continuous capillary refill timing device

International Nuclear Information System (INIS)

Blaxter, L L; Morris, D E; Crowe, J A; Hayes-Gill, B R; Henry, C; Hill, S; Sharkey, D; Vyas, H

2016-01-01

Capillary refill time (CRT) is a simple means of cardiovascular assessment which is widely used in clinical care. Currently, CRT is measured through manual assessment of the time taken for skin tone to return to normal colour following blanching of the skin surface. There is evidence to suggest that manually assessed CRT is subject to bias from ambient light conditions, a lack of standardisation of both blanching time and manually applied pressure, subjectiveness of return to normal colour, and variability in the manual assessment of time. We present a novel automated system for CRT measurement, incorporating three components: a non-invasive adhesive sensor incorporating a pneumatic actuator, a diffuse multi-wavelength reflectance measurement device, and a temperature sensor; a battery operated datalogger unit containing a self contained pneumatic supply; and PC based data analysis software for the extraction of refill time, patient skin surface temperature, and sensor signal quality. Through standardisation of the test, it is hoped that some of the shortcomings of manual CRT can be overcome. In addition, an automated system will facilitate easier integration of CRT into electronic record keeping and clinical monitoring or scoring systems, as well as reducing demands on clinicians. Summary analysis of volunteer (n  =  30) automated CRT datasets are presented, from 15 healthy adults and 15 healthy children (aged from 5 to 15 years), as their arms were cooled from ambient temperature to 5°C. A more detailed analysis of two typical datasets is also presented, demonstrating that the response of automated CRT to cooling matches that of previously published studies. (paper)

Automation of Endmember Pixel Selection in SEBAL/METRIC Model

Science.gov (United States)

Bhattarai, N.; Quackenbush, L. J.; Im, J.; Shaw, S. B.

2015-12-01

The commonly applied surface energy balance for land (SEBAL) and its variant, mapping evapotranspiration (ET) at high resolution with internalized calibration (METRIC) models require manual selection of endmember (i.e. hot and cold) pixels to calibrate sensible heat flux. Current approaches for automating this process are based on statistical methods and do not appear to be robust under varying climate conditions and seasons. In this paper, we introduce a new approach based on simple machine learning tools and search algorithms that provides an automatic and time efficient way of identifying endmember pixels for use in these models. The fully automated models were applied on over 100 cloud-free Landsat images with each image covering several eddy covariance flux sites in Florida and Oklahoma. Observed land surface temperatures at automatically identified hot and cold pixels were within 0.5% of those from pixels manually identified by an experienced operator (coefficient of determination, R2, ≥ 0.92, Nash-Sutcliffe efficiency, NSE, ≥ 0.92, and root mean squared error, RMSE, ≤ 1.67 K). Daily ET estimates derived from the automated SEBAL and METRIC models were in good agreement with their manual counterparts (e.g., NSE ≥ 0.91 and RMSE ≤ 0.35 mm day-1). Automated and manual pixel selection resulted in similar estimates of observed ET across all sites. The proposed approach should reduce time demands for applying SEBAL/METRIC models and allow for their more widespread and frequent use. This automation can also reduce potential bias that could be introduced by an inexperienced operator and extend the domain of the models to new users.

OpenIPSL: Open-Instance Power System Library - Update 1.5 to "iTesla Power Systems Library (iPSL): A Modelica library for phasor time-domain simulations"

Science.gov (United States)

Baudette, Maxime; Castro, Marcelo; Rabuzin, Tin; Lavenius, Jan; Bogodorova, Tetiana; Vanfretti, Luigi

2018-01-01

This paper presents the latest improvements implemented in the Open-Instance Power System Library (OpenIPSL). The OpenIPSL is a fork from the original iTesla Power Systems Library (iPSL) by some of the original developers of the iPSL. This fork's motivation comes from the will of the authors to further develop the library with additional features tailored to research and teaching purposes. The enhancements include improvements to existing models, the addition of a new package of three phase models, and the implementation of automated tests through continuous integration.

Building a print on demand web service

Science.gov (United States)

Reddy, Prakash; Rozario, Benedict; Dudekula, Shariff; V, Anil Dev

2011-03-01

There is considerable effort underway to digitize all books that have ever been printed. There is need for a service that can take raw book scans and convert them into Print on Demand (POD) books. Such a service definitely augments the digitization effort and enables broader access to a wider audience. To make this service practical we have identified three key challenges that needed to be addressed. These are: a) produce high quality image images by eliminating artifacts that exist due to the age of the document or those that are introduced during the scanning process b) develop an efficient automated system to process book scans with minimum human intervention; and c) build an eco system which allows us the target audience to discover these books.

Automated Asteroseismic Analysis of Solar-type Stars

DEFF Research Database (Denmark)

Karoff, Christoffer; Campante, T.L.; Chaplin, W.J.

2010-01-01

The rapidly increasing volume of asteroseismic observations on solar-type stars has revealed a need for automated analysis tools. The reason for this is not only that individual analyses of single stars are rather time consuming, but more importantly that these large volumes of observations open...... are calculated in a consistent way. Here we present a set of automated asterosesimic analysis tools. The main engine of these set of tools is an algorithm for modelling the autocovariance spectra of the stellar acoustic spectra allowing us to measure not only the frequency of maximum power and the large......, radius, luminosity, effective temperature, surface gravity and age based on grid modeling. All the tools take into account the window function of the observations which means that they work equally well for space-based photometry observations from e.g. the NASA Kepler satellite and ground-based velocity...

PR-PR: cross-platform laboratory automation system.

Science.gov (United States)

Linshiz, Gregory; Stawski, Nina; Goyal, Garima; Bi, Changhao; Poust, Sean; Sharma, Monica; Mutalik, Vivek; Keasling, Jay D; Hillson, Nathan J

2014-08-15

To enable protocol standardization, sharing, and efficient implementation across laboratory automation platforms, we have further developed the PR-PR open-source high-level biology-friendly robot programming language as a cross-platform laboratory automation system. Beyond liquid-handling robotics, PR-PR now supports microfluidic and microscopy platforms, as well as protocol translation into human languages, such as English. While the same set of basic PR-PR commands and features are available for each supported platform, the underlying optimization and translation modules vary from platform to platform. Here, we describe these further developments to PR-PR, and demonstrate the experimental implementation and validation of PR-PR protocols for combinatorial modified Golden Gate DNA assembly across liquid-handling robotic, microfluidic, and manual platforms. To further test PR-PR cross-platform performance, we then implement and assess PR-PR protocols for Kunkel DNA mutagenesis and hierarchical Gibson DNA assembly for microfluidic and manual platforms.

Autonomy and Automation

Science.gov (United States)

Shively, Jay

2017-01-01

A significant level of debate and confusion has surrounded the meaning of the terms autonomy and automation. Automation is a multi-dimensional concept, and we propose that Remotely Piloted Aircraft Systems (RPAS) automation should be described with reference to the specific system and task that has been automated, the context in which the automation functions, and other relevant dimensions. In this paper, we present definitions of automation, pilot in the loop, pilot on the loop and pilot out of the loop. We further propose that in future, the International Civil Aviation Organization (ICAO) RPAS Panel avoids the use of the terms autonomy and autonomous when referring to automated systems on board RPA. Work Group 7 proposes to develop, in consultation with other workgroups, a taxonomy of Levels of Automation for RPAS.

Investigation on the actual energy consumption by office automation devices used in offices; Office ni okeru OA kiki no energy shohi jittai chosa

Energy Technology Data Exchange (ETDEWEB)

NONE

1997-03-01

With an objective to further improve efficiency of power demand by office automation devices and suppress increase in the power demand, investigations were carried out on the actual power consumption by office automation devices, and discussions were given on energy saving effects in the office automation devices. In the investigations, measurements were conducted for small offices as the subject thereof with regard to electric power consumed by such presentation tools and their peripheral devices as personal computers, word processors, copying machines, facsimile machines, electronic whiteboards and overhead projectors. Power consumption particularly in a standby condition was also investigated. As a result of the investigations, the following characteristics were revealed: the number of office automation devices used to deal with the Energy Star is increasing rapidly; power consumption believed to have been reduced by the Energy Star transferring to lower power consumption is estimated to be 3% in average for personal computers, 26% for copying machines, and 68% for facsimile machines; and while facsimile machines are left in operating condition for 24 hours, their operation rate at night is very low, wherein there is a large room for saving energy in this time band. 65 figs., 21 tabs.

Use of Automated Scoring in Spoken Language Assessments for Test Takers with Speech Impairments. Research Report. ETS RR-17-42

Science.gov (United States)

Loukina, Anastassia; Buzick, Heather

2017-01-01

This study is an evaluation of the performance of automated speech scoring for speakers with documented or suspected speech impairments. Given that the use of automated scoring of open-ended spoken responses is relatively nascent and there is little research to date that includes test takers with disabilities, this small exploratory study focuses…

Balance between automation and human actions in nuclear power plant operation. Results of international cooperation

International Nuclear Information System (INIS)

Sun, B.; Olmstead, R.; Oudiz, A.; Jenkinson, J.; Kossilov, A.

1990-01-01

Automation has long been an established feature of power plants. In some applications, the use of automation has been the significant factor which has enabled plant technology to progress to its current state. Societal demands for increased levels of safety have led to greater use of redundancy and diversity and this, in turn, has increased levels of automation. However, possibly the greatest contributory factor in increased automation has resulted from improvements in information technology. Much recent attention has been focused on the concept of inherently safe reactors, which may simplify safety system requirements and information and control system complexity. The allocation of tasks between man and machine may be one of the most critical activity in the design of new nuclear plants and major retro-fits and it therefore warrants a design approach which is commensurate in quality with the high levels of safety and production performance sought from nuclear plants. Facing this climate, in 1989 the International Atomic Energy Agency (IAEA) formed an advisory group from member countries with extensive experience in nuclear power plant automation. The task of this group was to advise on the appropriate balance between manual and automatic actions in plant operation

Balance between automation and human actions in nuclear power plant operation. Results of international cooperation

International Nuclear Information System (INIS)

Sun, B.; Olmstead, R.; Oudiz, A.; Jenkinson, J.; Kossilov, A.

1990-01-01

Automation has long been an established feature of power plants. In some applications, the use of automation has been the significant factor which has enabled plant technology to progress to its current state. Societal demands for increased levels of safety have led to greater use of redundancy and diversity and this, in turn, has increased levels of automation. However, possibly the greatest contributory factor in increased automation has resulted from improvements in information technology. Much recent attention has been focused on the concept of inherently safe reactors, which may simplify safety system requirements and information and control system complexity. The allocation of tasks between man and machine may be one of the most critical activity in the design of new nuclear plants and major retro-fits and it therefore warrants a design approach which is commensurate in quality with the high levels of safety and production performance sought from nuclear plants. Facing this climate, in 1989 the International Atomic Energy Agency (IAEA) formed an advisory group from member countries with extensive experience in nuclear power plant automation. The task of this group was to advise on the appropriate balance between manual and automatic actions in plant operation. (author) [fr

Transient Tolerant Automated Control System for the LEDA 75kV Injector

International Nuclear Information System (INIS)

Thuot, M.E.; Dalesio, L.R.; Harrington, M.; Hodgkins, D.; Kerstiens, D.M.; Stettler, M.W.; Warren, D.S.; Zaugg, T.; Arvin, A.; Bolt, S.; Richards, M.

1999-01-01

The Low-Energy Demonstration Accelerator (LEDA) injector is designed to inject 75-keV, 110-mA, proton beams into the LEDA RFQ. The injector operation has been automated to provide long term, high availability operation using the Experimental Physics and Industrial Control System (EPICS). Automated recovery from spark-downs demands reliable spark detection and sequence execution by the injector controller. Reliable computer control in the high-energy transient environment required transient suppression and isolation of hundreds of analog and binary data lines connecting the EPICS computer controller to the injector and it's power supplies and diagnostics. A transient suppression design based on measured and modeled spark transient parameters provides robust injector operation. This paper describes the control system hardware and software design, implementation and operational performance

Automated asteroseismic peak detections

DEFF Research Database (Denmark)

de Montellano, Andres Garcia Saravia Ortiz; Hekker, S.; Themessl, N.

2018-01-01

Space observatories such as Kepler have provided data that can potentially revolutionize our understanding of stars. Through detailed asteroseismic analyses we are capable of determining fundamental stellar parameters and reveal the stellar internal structure with unprecedented accuracy. However......, such detailed analyses, known as peak bagging, have so far been obtained for only a small percentage of the observed stars while most of the scientific potential of the available data remains unexplored. One of the major challenges in peak bagging is identifying how many solar-like oscillation modes are visible...... of detected oscillation modes. The algorithm presented here opens the possibility for detailed and automated peak bagging of the thousands of solar-like oscillators observed by Kepler....

Data for Environmental Modeling (D4EM): Background and Applications of Data Automation

Science.gov (United States)

The Data for Environmental Modeling (D4EM) project demonstrates the development of a comprehensive set of open source software tools that overcome obstacles to accessing data needed by automating the process of populating model input data sets with environmental data available fr...

Microprocessor-based integration of microfluidic control for the implementation of automated sensor monitoring and multithreaded optimization algorithms.

Science.gov (United States)

Ezra, Elishai; Maor, Idan; Bavli, Danny; Shalom, Itai; Levy, Gahl; Prill, Sebastian; Jaeger, Magnus S; Nahmias, Yaakov

2015-08-01

Microfluidic applications range from combinatorial synthesis to high throughput screening, with platforms integrating analog perfusion components, digitally controlled micro-valves and a range of sensors that demand a variety of communication protocols. Currently, discrete control units are used to regulate and monitor each component, resulting in scattered control interfaces that limit data integration and synchronization. Here, we present a microprocessor-based control unit, utilizing the MS Gadgeteer open framework that integrates all aspects of microfluidics through a high-current electronic circuit that supports and synchronizes digital and analog signals for perfusion components, pressure elements, and arbitrary sensor communication protocols using a plug-and-play interface. The control unit supports an integrated touch screen and TCP/IP interface that provides local and remote control of flow and data acquisition. To establish the ability of our control unit to integrate and synchronize complex microfluidic circuits we developed an equi-pressure combinatorial mixer. We demonstrate the generation of complex perfusion sequences, allowing the automated sampling, washing, and calibrating of an electrochemical lactate sensor continuously monitoring hepatocyte viability following exposure to the pesticide rotenone. Importantly, integration of an optical sensor allowed us to implement automated optimization protocols that require different computational challenges including: prioritized data structures in a genetic algorithm, distributed computational efforts in multiple-hill climbing searches and real-time realization of probabilistic models in simulated annealing. Our system offers a comprehensive solution for establishing optimization protocols and perfusion sequences in complex microfluidic circuits.

Price, environment and security: Exploring multi-modal motivation in voluntary residential peak demand response

International Nuclear Information System (INIS)

Gyamfi, Samuel; Krumdieck, Susan

2011-01-01

Peak demand on electricity grids is a growing problem that increases costs and risks to supply security. Residential sector loads often contribute significantly to seasonal and daily peak demand. Demand response projects aim to manage peak demand by applying price signals and automated load shedding technologies. This research investigates voluntary load shedding in response to information about the security of supply, the emission profile and the cost of meeting critical peak demand in the customers' network. Customer willingness to change behaviour in response to this information was explored through mail-back survey. The diversified demand modelling method was used along with energy audit data to estimate the potential peak load reduction resulting from the voluntary demand response. A case study was conducted in a suburb of Christchurch, New Zealand, where electricity is the main source for water and space heating. On this network, all water heating cylinders have ripple-control technology and about 50% of the households subscribe to differential day/night pricing plan. The survey results show that the sensitivity to supply security is on par with price, with the emission sensitivity being slightly weaker. The modelling results show potential 10% reduction in critical peak load for aggregate voluntary demand response. - Highlights: → Multiple-factor behaviour intervention is necessarily for effective residential demand response. → Security signals can achieve result comparable to price. → The modelling results show potential 10% reduction in critical peak load for aggregate voluntary demand response. → New Zealand's energy policy should include innovation and development of VDR programmes and technologies.

Complete automation of nuclear reactors control

International Nuclear Information System (INIS)

Weill, J.

1955-01-01

The use of nuclear reactor for energy production induces the installation of automatic control systems which need to be safe enough and can adapt to the industrial scale of energy production. These automatic control systems have to insure the constancy of power level and adjust the power produced to the energy demand. Two functioning modes are considered: nuclear plant connected up to other electric production systems as hydraulic or thermic plants or nuclear plants functioning on an independent network. For nuclear plants connected up with other production plants, xenon poisoning and operating cost lead to keep working at maximum power the nuclear reactors. Thus, the power modulation control system will not be considered and only start-up control, safety control, and control systems will be automated. For nuclear power plants working on an independent network, the power modulation control system is needed to economize fuel. It described the automated control system for reactors functioning with constant power: a power measurement system constituted of an ionization chamber and a direct-current amplifier will control the steadfastness of the power produced. For reactors functioning with variable power, the automated power control system will allow to change the power and maintain it steady with all the necessary safety and will control that working conditions under P max and R max (maximum power and maximum reactivity). The effects of temperature and xenon poisoning will also be discussed. Safety systems will be added to stop completely the functioning of the reactor if P max is reached. (M.P.)

New Lifecycle for Firewall Openings

CERN Multimedia

Computer Security Team

2011-01-01

The first line in defending CERN against malicious traffic from the Internet is CERN's outer perimeter firewall. Following a well-defined set of rules, this firewall permits or denies any incoming network traffic to communicate with CERN hosts and controls outgoing traffic towards the Internet. System administrators can usually request firewall openings for the servers they are responsible for by using the LANDB Web interface (http://network.cern.ch). These requests are approved or rejected following the result of a subsequent security scan performed by the Computer Security Team. In the past, the number of firewall openings has grown significantly. System administrators naturally care more about their openings than about demanding closure once an opening has become obsolete or the server has changed purpose. Even worse, servers might pass under a new responsibility, i.e. a new system administrator, who does not even know about the current firewall openings. Indeed, a manual review of all firewall openings h...

Sistema de resum automàtic accessible via web service

OpenAIRE

Pedrajas Pérez, Samuel

2015-01-01

En este proyecto se presenta un sistema de resumen automático que utiliza el método de las cadenas léxicas. Se ha implementado como un módulo para FreeLing, que es una librería open source de análisis lingüístico, y hecho accesible vía web service en TextServer, la plataforma de webservices de TALP. In this project an automatic summarization system which uses the lexical chain method is shown. It has been implemented as a module for FreeLing, an open source language analysis tool suite, an...

Using historical wafermap data for automated yield analysis

International Nuclear Information System (INIS)

Tobin, K.W.; Karnowski, T.P.; Gleason, S.S.; Jensen, D.; Lakhani, F.

1999-01-01

To be productive and profitable in a modern semiconductor fabrication environment, large amounts of manufacturing data must be collected, analyzed, and maintained. This includes data collected from in- and off-line wafer inspection systems and from the process equipment itself. This data is increasingly being used to design new processes, control and maintain tools, and to provide the information needed for rapid yield learning and prediction. Because of increasing device complexity, the amount of data being generated is outstripping the yield engineer close-quote s ability to effectively monitor and correct unexpected trends and excursions. The 1997 SIA National Technology Roadmap for Semiconductors highlights a need to address these issues through open-quotes automated data reduction algorithms to source defects from multiple data sources and to reduce defect sourcing time.close quotes SEMATECH and the Oak Ridge National Laboratory have been developing new strategies and technologies for providing the yield engineer with higher levels of assisted data reduction for the purpose of automated yield analysis. In this article, we will discuss the current state of the art and trends in yield management automation. copyright 1999 American Vacuum Society

Systems integration (automation system). System integration (automation system)

Energy Technology Data Exchange (ETDEWEB)

Fujii, K; Komori, T; Fukuma, Y; Oikawa, M [Nippon Steal Corp., Tokyo (Japan)

1991-09-26

This paper introduces business activities on an automation systems integration (SI) started by a company in July,1988, and describes the SI concepts. The business activities include, with the CIM (unified production carried out on computers) and AMENITY (living environment) as the mainstays, a single responsibility construction ranging from consultation on structuring optimal systems for processing and assembling industries and intelligent buildings to system design, installation and after-sales services. With an SI standing on users {prime} position taken most importantly, the business starts from a planning and consultation under close coordination. On the conceptual basis of structuring optimal systems using the ompany {prime}s affluent know-hows and tools and adapting and applying with multi-vendors, open networks, centralized and distributed systems, the business is promoted with the accumulated technologies capable of realizing artificial intelligence and neural networks in its background, and supported with highly valuable business results in the past. 10 figs., 1 tab.

CityMobil : Human factor issues regarding highly automated vehicles on eLane

NARCIS (Netherlands)

Toffetti, A.; Wilschut, E.S.; Martens, M.H.; Schieben, A.; Rambaldini, A.; Merat, N.; Flemisch, F.

2009-01-01

There are several human factor concerns with highly autonomous or semiautonomous driving, such as transition of control, loss of skill, and dealing with automated system errors. Four CityMobil experiments studied the eLane concept for dual-mode cars, and the results of one are described. The open

Sensors and Automated Analyzers for Radionuclides

International Nuclear Information System (INIS)

Grate, Jay W.; Egorov, Oleg B.; O'Hara, Matthew J.

2005-01-01

The production of nuclear weapons materials has generated a legacy of nuclear waste and contaminated environmental sites. (1) The remediation of radiochemically contaminated sites and processing of stored wastes into stable waste forms will require characterization procedures throughout all phases of these activities. (2) Consequently the demands for radiochemical analysis will increase rapidly in the future. Methods are required to do these analyses rapidly and precisely. To meet these characterization needs, new automated techniques are required in order to provide improved precision, consistent analytical protocols, reduced worker exposure to toxic and/or radioactive samples, greater sample throughput, reduced costs, and reduced secondary waste generation. Furthermore, methods are required that provide automatic analyses in settings other than analytical laboratories

Information security for energy automation. IEC 62351 Challenges and possible solutions; Informationsicherheit fuer die Energieautomatisierung. IEC 62351 - Herausforderungen und Loesungsansaetze

Energy Technology Data Exchange (ETDEWEB)

Knorr, K.; Fries, S. [Sector Corporate Technology, Siemens AG, Muenchen (Germany); Seewald, M.G. [Sector Energy, Siemens AG, Nuernberg (Germany)

2008-10-06

Information security has gained tremendous importance for energy automation systems over the last years. New standards like IEC 62351 address this topic and specify technical requirements which have to be met by the vendors. Especially vendors that cover the entire energy automation chain with their product portfolio have to face several new demanding challenges. The authors describe suitable approaches and implementation issues that are derived from selected IEC 62351 requirements following the product lifecycle process. (orig.)

The influence of highly automated driving on the self-perception of drivers in the context of Conduct-by-Wire.

Science.gov (United States)

Kauer, Michaela; Franz, Benjamin; Maier, Alexander; Bruder, Ralph

2015-01-01

Today, new driving paradigms are being introduced that aim to reduce the number of standalone driver assistance systems by combining these into one overarching system. This is done to reduce the demands on drivers but often leads to a higher degree of automation. Feasibility and driver behaviour are often the subject of studies, but this is contrasted by a lack of research into the influence of highly automated driving on the self-perception of drivers. This article begins to close this gap by investigating the influences of one highly automated driving concept--Conduct-by-Wire--on the self-perception of drivers via a combined driving simulator and interview study. The aim of this work is to identify changes in the role concept of drivers indicated by highly automated driving, to evaluate these changes from the drivers' point of view and to give suggestions of possible improvements to the design of highly automated vehicles.

Digital image analysis applied to industrial nondestructive evaluation and automated parts assembly

International Nuclear Information System (INIS)

Janney, D.H.; Kruger, R.P.

1979-01-01

Many ideas of image enhancement and analysis are relevant to the needs of the nondestructive testing engineer. These ideas not only aid the engineer in the performance of his current responsibilities, they also open to him new areas of industrial development and automation which are logical extensions of classical testing problems. The paper begins with a tutorial on the fundamentals of computerized image enhancement as applied to nondestructive testing, then progresses through pattern recognition and automated inspection to automated, or robotic, assembly procedures. It is believed that such procedures are cost-effective in many instances, and are but the logical extension of those techniques now commonly used, but often limited to analysis of data from quality-assurance images. Many references are given in order to help the reader who wishes to pursue a given idea further

Automated vocabulary discovery for geo-parsing online epidemic intelligence.

Science.gov (United States)

Keller, Mikaela; Freifeld, Clark C; Brownstein, John S

2009-11-24

Automated surveillance of the Internet provides a timely and sensitive method for alerting on global emerging infectious disease threats. HealthMap is part of a new generation of online systems designed to monitor and visualize, on a real-time basis, disease outbreak alerts as reported by online news media and public health sources. HealthMap is of specific interest for national and international public health organizations and international travelers. A particular task that makes such a surveillance useful is the automated discovery of the geographic references contained in the retrieved outbreak alerts. This task is sometimes referred to as "geo-parsing". A typical approach to geo-parsing would demand an expensive training corpus of alerts manually tagged by a human. Given that human readers perform this kind of task by using both their lexical and contextual knowledge, we developed an approach which relies on a relatively small expert-built gazetteer, thus limiting the need of human input, but focuses on learning the context in which geographic references appear. We show in a set of experiments, that this approach exhibits a substantial capacity to discover geographic locations outside of its initial lexicon. The results of this analysis provide a framework for future automated global surveillance efforts that reduce manual input and improve timeliness of reporting.

ABCD, an Open Source Software for Modern Libraries

Directory of Open Access Journals (Sweden)

Sangeeta Namdev Dhamdhere

2011-12-01

Full Text Available Nowadays, librarians are using various kinds of open source software for different purposes such as library automation, digitization, institutional repository, content management. ABCD, acronym for Automatisación de Bibliotécas y Centros de Documentación, is one of such software. It caters to almost all present needs of modern libraries of any sizes. It offers a solution to library automation with ISBD as well as local formats. It has excellent indexing and retrieval features based on UNESCO’s ISIS technology, a web OPAC, and a library Portal with integrated meta-search and content management system to manage online as well as offline digital resources and physical documents and media.

Eastern Michigan University's Automated Storage and Retrieval System: 10 Years Later

Science.gov (United States)

Bullard, Rita; Wrosch, Jackie

2009-01-01

Automated storage/retrieval systems (ASRSs) are playing an integral part in today's library operations and collections management. Eastern Michigan University installed an ASRS as part of the new Halle Library, which opened in May 1998, to provide "storage" for up to 800,000 items. Over the past 10 years our policies and procedures have…

VisTrails is an open-source scientific workflow and provenance management system

CSIR Research Space (South Africa)

Mthombeni, Thabo DM

2011-12-01

Full Text Available VisTrails is an open-source scientific workflow and provenance management system that provides support for simulations, data exploration and visualization. Whereas workflows have been traditionally used to automate repetitive tasks, for applications...

Open Data for Public Policy in Latin America and the Caribbean ...

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

Understanding an increasingly complex knowledge economy demands ... to Open Data have shown that disseminating data over the Internet via open, accessible and structured formats has the potential to transform the way data are created, ...

Home Automation

OpenAIRE

Ahmed, Zeeshan

2010-01-01

In this paper I briefly discuss the importance of home automation system. Going in to the details I briefly present a real time designed and implemented software and hardware oriented house automation research project, capable of automating house's electricity and providing a security system to detect the presence of unexpected behavior.

Open-source colorimeter.

Science.gov (United States)

Anzalone, Gerald C; Glover, Alexandra G; Pearce, Joshua M

2013-04-19

The high cost of what have historically been sophisticated research-related sensors and tools has limited their adoption to a relatively small group of well-funded researchers. This paper provides a methodology for applying an open-source approach to design and development of a colorimeter. A 3-D printable, open-source colorimeter utilizing only open-source hardware and software solutions and readily available discrete components is discussed and its performance compared to a commercial portable colorimeter. Performance is evaluated with commercial vials prepared for the closed reflux chemical oxygen demand (COD) method. This approach reduced the cost of reliable closed reflux COD by two orders of magnitude making it an economic alternative for the vast majority of potential users. The open-source colorimeter demonstrated good reproducibility and serves as a platform for further development and derivation of the design for other, similar purposes such as nephelometry. This approach promises unprecedented access to sophisticated instrumentation based on low-cost sensors by those most in need of it, under-developed and developing world laboratories.

Open-Source Colorimeter

Science.gov (United States)

Anzalone, Gerald C.; Glover, Alexandra G.; Pearce, Joshua M.

2013-01-01

The high cost of what have historically been sophisticated research-related sensors and tools has limited their adoption to a relatively small group of well-funded researchers. This paper provides a methodology for applying an open-source approach to design and development of a colorimeter. A 3-D printable, open-source colorimeter utilizing only open-source hardware and software solutions and readily available discrete components is discussed and its performance compared to a commercial portable colorimeter. Performance is evaluated with commercial vials prepared for the closed reflux chemical oxygen demand (COD) method. This approach reduced the cost of reliable closed reflux COD by two orders of magnitude making it an economic alternative for the vast majority of potential users. The open-source colorimeter demonstrated good reproducibility and serves as a platform for further development and derivation of the design for other, similar purposes such as nephelometry. This approach promises unprecedented access to sophisticated instrumentation based on low-cost sensors by those most in need of it, under-developed and developing world laboratories. PMID:23604032

An Analysis of COSPA – A Consortium for Open Source in the Public Administration

OpenAIRE

Morgan, Lorraine

2005-01-01

peer-reviewed This paper reflects on a two-year EU funded specific research targeted project that officially began in January 2004 entitled COSPA, a Consortium for studying, evaluating and supporting the introduction of Open Source Software and Open Data Standards in the Public Administration. COSPA focuses on office automation and desktop system software and aims at rigorously measuring the effort, costs and benefits of a transition to Open Source. The project invo...

LOW COST ANALYZER FOR THE DETERMINATION OF PHOSPHORUS BASED ON OPEN-SOURCE HARDWARE AND PULSED FLOWS

Directory of Open Access Journals (Sweden)

Pablo González

2016-04-01

Full Text Available The need for automated analyzers for industrial and environmental samples has triggered the research for new and cost-effective strategies of automation and control of analytical systems. The widespread availability of open-source hardware together with novel analytical methods based on pulsed flows have opened the possibility of implementing standalone automated analytical systems at low cost. Among the areas that can benefit from this approach are the analysis of industrial products and effluents and environmental analysis. In this work, a multi-pumping flow system is proposed for the determination of phosphorus in effluents and polluted water samples. The system employs photometric detection based on the formation of molybdovanadophosphoric acid, and the fluidic circuit is built using three solenoid micropumps. The detection is implemented with a low cost LED-photodiode photometric detection system and the whole system is controlled by an open-source Arduino Uno microcontroller board. The optimization of the timing to ensure the color development and the pumping cycle is discussed for the proposed implementation. Experimental results to evaluate the system behavior are presented verifying a linear relationship between the relative absorbance and the phosphorus concentrations for levels as high as 50 mg L-1.

Demand Response of Thermostatic Loads by Optimized Switching-Fraction Broadcast

DEFF Research Database (Denmark)

Totu, Luminita Cristiana; Wisniewski, Rafal

2014-01-01

Demand response is an important Smart Grid concept that aims at facilitating the integration of volatile energy resources into the electricity grid. This paper considers the problem of managing large populations of thermostat-based devices with on/off operation. The objective is to enable demand...... Method is used to spatially discretize these equations. Next, a broadcast strategy with two switching-fraction signals is proposed for actuating the population. This is applied in an open-loop scenario for tracking a power reference by running an optimization with a multilinear objective....

Optimization of automation: I. Estimation method of cognitive automation rates reflecting the effects of automation on human operators in nuclear power plants

International Nuclear Information System (INIS)

Lee, Seung Min; Kim, Jong Hyun; Seong, Poong Hyun

2014-01-01

Highlights: • We propose an estimation method of the automation rate by taking the advantages of automation as the estimation measures. • We conduct the experiments to examine the validity of the suggested method. • The higher the cognitive automation rate is, the greater the decreased rate of the working time will be. • The usefulness of the suggested estimation method is proved by statistical analyses. - Abstract: Since automation was introduced in various industrial fields, the concept of the automation rate has been used to indicate the inclusion proportion of automation among all work processes or facilities. Expressions of the inclusion proportion of automation are predictable, as is the ability to express the degree of the enhancement of human performance. However, many researchers have found that a high automation rate does not guarantee high performance. Therefore, to reflect the effects of automation on human performance, this paper proposes a new estimation method of the automation rate that considers the effects of automation on human operators in nuclear power plants (NPPs). Automation in NPPs can be divided into two types: system automation and cognitive automation. Some general descriptions and characteristics of each type of automation are provided, and the advantages of automation are investigated. The advantages of each type of automation are used as measures of the estimation method of the automation rate. One advantage was found to be a reduction in the number of tasks, and another was a reduction in human cognitive task loads. The system and the cognitive automation rate were proposed as quantitative measures by taking advantage of the aforementioned benefits. To quantify the required human cognitive task loads and thus suggest the cognitive automation rate, Conant’s information-theory-based model was applied. The validity of the suggested method, especially as regards the cognitive automation rate, was proven by conducting

A Voyage to Arcturus: A model for automated management of a WLCG Tier-2 facility

International Nuclear Information System (INIS)

Roy, Gareth; Crooks, David; Mertens, Lena; Mitchell, Mark; Skipsey, Samuel Cadellin; Britton, David; Purdie, Stuart

2014-01-01

With the current trend towards 'On Demand Computing' in big data environments it is crucial that the deployment of services and resources becomes increasingly automated. Deployment based on cloud platforms is available for large scale data centre environments but these solutions can be too complex and heavyweight for smaller, resource constrained WLCG Tier-2 sites. Along with a greater desire for bespoke monitoring and collection of Grid related metrics, a more lightweight and modular approach is desired. In this paper we present a model for a lightweight automated framework which can be use to build WLCG grid sites, based on 'off the shelf' software components. As part of the research into an automation framework the use of both IPMI and SNMP for physical device management will be included, as well as the use of SNMP as a monitoring/data sampling layer such that more comprehensive decision making can take place and potentially be automated. This could lead to reduced down times and better performance as services are recognised to be in a non-functional state by autonomous systems.

The importance of a culture of openness.

Science.gov (United States)

2016-06-15

Revamping the counselling service at Birmingham Children's Hospital, as well as offering wa 24/7 telephone service and face-to-face counselling, led to reduced work-related stress - as stated in Nursing Management. Sara Brown, deputy chief officer for workforce at the hospital, says a culture of openness is essential for tackling the demands of nursing. She says nurses in management positions are responsible for supporting the daily demands of service delivery.

Open source system options for librarians and archivists

CERN Document Server

Tomer, Christinger

2019-01-01

The importance of open source systems in the context of libraries and archives is perhaps greater now than ever before. This book explains the essentials of open source systems to benefit academic and public librarians and archivists who have a vested interest in the future of integrated online library systems. Author Christinger Tomer, who has studied open source systems for more than two decades and used them extensively in both teaching and consulting, provides brief histories of both library automation and open source software, in the latter instance focusing on aspects that have more directly influenced library and archival computing. He then describes and analyzes key open source systems and critically compares them to commercial systems in terms of design, functionality, and ease of administration. The book concludes with an in-depth description of how these systems are currently being employed as well as insightful predictions about how this segment of the software environment is likely to evolve.

Open microfluidic gel electrophoresis: Rapid and low cost separation and analysis of DNA at the nanoliter scale.

Science.gov (United States)

Gutzweiler, Ludwig; Gleichmann, Tobias; Tanguy, Laurent; Koltay, Peter; Zengerle, Roland; Riegger, Lutz

2017-07-01

Gel electrophoresis is one of the most applied and standardized tools for separation and analysis of macromolecules and their fragments in academic research and in industry. In this work we present a novel approach for conducting on-demand electrophoretic separations of DNA molecules in open microfluidic (OM) systems on planar polymer substrates. The approach combines advantages of slab gel, capillary- and chip-based methods offering low consumable costs (<0.1$) circumventing cost-intensive microfluidic chip fabrication, short process times (5 min per analysis) and high sensitivity (4 ng/μL dsDNA) combined with reasonable resolution (17 bases). The open microfluidic separation system comprises two opposing reservoirs of 2-4 μL in volume, a semi-contact written gel line acting as separation channel interconnecting the reservoirs and sample injected into the line via non-contact droplet dispensing and thus enabling the precise control of the injection plug and sample concentration. Evaporation is prevented by covering aqueous structures with PCR-grade mineral oil while maintaining surface temperature at 15°C. The liquid gel line exhibits a semi-circular cross section of adaptable width (∼200-600 μm) and height (∼30-80 μm) as well as a typical length of 15-55 mm. Layout of such liquid structures is adaptable on-demand not requiring time consuming and repetitive fabrication steps. The approach was successfully demonstrated by the separation of a standard label-free DNA ladder (100-1000 bp) at 100 V/cm via in-line staining and laser induced fluorescent end-point detection using an automated prototype. © 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Potential of Laboratory Execution Systems (LESs) to Simplify the Application of Business Process Management Systems (BPMSs) in Laboratory Automation.

Science.gov (United States)

Neubert, Sebastian; Göde, Bernd; Gu, Xiangyu; Stoll, Norbert; Thurow, Kerstin

2017-04-01

Modern business process management (BPM) is increasingly interesting for laboratory automation. End-to-end workflow automation and improved top-level systems integration for information technology (IT) and automation systems are especially prominent objectives. With the ISO Standard Business Process Model and Notation (BPMN) 2.X, a system-independent and interdisciplinary accepted graphical process control notation is provided, allowing process analysis, while also being executable. The transfer of BPM solutions to structured laboratory automation places novel demands, for example, concerning the real-time-critical process and systems integration. The article discusses the potential of laboratory execution systems (LESs) for an easier implementation of the business process management system (BPMS) in hierarchical laboratory automation. In particular, complex application scenarios, including long process chains based on, for example, several distributed automation islands and mobile laboratory robots for a material transport, are difficult to handle in BPMSs. The presented approach deals with the displacement of workflow control tasks into life science specialized LESs, the reduction of numerous different interfaces between BPMSs and subsystems, and the simplification of complex process modelings. Thus, the integration effort for complex laboratory workflows can be significantly reduced for strictly structured automation solutions. An example application, consisting of a mixture of manual and automated subprocesses, is demonstrated by the presented BPMS-LES approach.

Open Energy Information System version 2.0

Energy Technology Data Exchange (ETDEWEB)

2017-09-26

OpenEIS was created to provide standard methods for authoring, sharing, testing, using, and improving algorithms for operational building energy efficiency with building managers and building owners. OpenEIS is designed as a no-cost/low-cost solution that will propagate the fault detection and diagnostic (FDD) solutions into the marketplace by providing state- of- the-art analytical and diagnostic algorithms. As OpenEIS penetrates the market, demand by control system manufacturers and integrators serving small and medium commercial customers will help push these types of commercial software tool offerings into the broader marketplace.

Oil-Price Shocks: Beyond Standard Aggregate Demand/Aggregate Supply Analysis.

Science.gov (United States)

Elwood, S. Kirk

2001-01-01

Explores the problems of portraying oil-price shocks using the aggregate demand/aggregate supply model. Presents a simple modification of the model that differentiates between production and absorption of goods, which enables it to better reflect the effects of oil-price shocks on open economies. (RLH)

Photonomics: automation approaches yield economic aikido for photonics device manufacture

Science.gov (United States)

Jordan, Scott

2002-09-01

In the glory days of photonics, with exponentiating demand for photonics devices came exponentiating competition, with new ventures commencing deliveries seemingly weekly. Suddenly the industry was faced with a commodity marketplace well before a commodity cost structure was in place. Economic issues like cost, scalability, yield-call it all "Photonomics" -now drive the industry. Automation and throughput-optimization are obvious answers, but until now, suitable modular tools had not been introduced. Available solutions were barely compatible with typical transverse alignment tolerances and could not automate angular alignments of collimated devices and arrays. And settling physics served as the insoluble bottleneck to throughput and resolution advancement in packaging, characterization and fabrication processes. The industry has addressed these needs in several ways, ranging from special configurations of catalog motion devices to integrated microrobots based on a novel mini-hexapod configuration. This intriguing approach allows tip/tilt alignments to be automated about any point in space, such as a beam waist, a focal point, the cleaved face of a fiber, or the optical axis of a waveguide- ideal for MEMS packaging automation and array alignment. Meanwhile, patented new low-cost settling-enhancement technology has been applied in applications ranging from air-bearing long-travel stages to subnanometer-resolution piezo positioners to advance resolution and process cycle-times in sensitive applications such as optical coupling characterization and fiber Bragg grating generation. Background, examples and metrics are discussed, providing an up-to-date industry overview of available solutions.

New information on world uranium resource, production, supply and demand

International Nuclear Information System (INIS)

Zhang Jianguo; Meng Jin

2006-01-01

New information on world uranium resource, production, supply and demand is introduced. Up to now, explored uranium resources at production cost < USD 40/kg U has 2523257 t uranium; production cost < USD 80/kg U has 5911514 t uranium; production cost < USD130/kg U has 11280488 t uranium; and cost range unassigned has 3102000 t uranium. At moment, the demand uranium of each year is about 67000 t U. After 2020, world uranium demand will rise well above 100000 t per annum with sharp revival of nuclear power plants. With three kinds of economic growth the cumulative requirement of the uranium in low demand case, middle demand case and high demand case from 2000 to 2050 is 3390000, 5394100 and 7577300 t respectively. In the world market uranium price rises from 20 years lowest 18.2 USD/kg U to 75.4 USD/kg U. In 2003, global uranium product is about 35385 t U, and 2004, global uranium product is about 40475 t U. In 2004's world uranium production underground mining, open pit, in situ, by product, and combination account for 39%, 27%, 19%, 11% and 4% respectively. (authors)

Automation of MCDOR at NMT-3 Los Alamos National Laboratory. Final report

International Nuclear Information System (INIS)

Shahinpoor, M.

1997-01-01

The automation of various parts of multiple--cycle direct oxide reduction (MCDOR) at LANL's NMT-3 was the goal of this research and development activities. In particular, originally the following goals were assigned to the author by the NMT-3 technical staff leaders (Greg Bird, Jim McNeese, Joel Williams): (1) Design and fabricate an automation set up; (2) Step-wise automation is preferred; (3) Step 1 involves automatic metering and mixing of powders; and (4) Step 2-automatic transport of powder to furnace location The initial task assigned in May 91 was to get the appropriate design developed and order equipment and parts to automatically weight powders. In fact the work statement read open-quotes Create an experimental automation set up in the ME Department at UNM to automatically weigh powders using an electronic balance. Further, design the set up such that the electronic balance is reprogrammable for specific weight set points. Thus, when a set point in weight is reached by means of a vibratory feeder feeding a container on the balance, the electronic balance will send an electronic signal out to switch off the vibratory feederclose quotes. The automation of the reduction of plutonium oxide to plutonium is described

Automation of MCDOR at NMT-3 Los Alamos National Laboratory. Final report

Energy Technology Data Exchange (ETDEWEB)

Shahinpoor, M.

1997-01-01

The automation of various parts of multiple--cycle direct oxide reduction (MCDOR) at LANL`s NMT-3 was the goal of this research and development activities. In particular, originally the following goals were assigned to the author by the NMT-3 technical staff leaders (Greg Bird, Jim McNeese, Joel Williams): (1) Design and fabricate an automation set up; (2) Step-wise automation is preferred; (3) Step 1 involves automatic metering and mixing of powders; and (4) Step 2-automatic transport of powder to furnace location The initial task assigned in May 91 was to get the appropriate design developed and order equipment and parts to automatically weight powders. In fact the work statement read {open_quotes}Create an experimental automation set up in the ME Department at UNM to automatically weigh powders using an electronic balance. Further, design the set up such that the electronic balance is reprogrammable for specific weight set points. Thus, when a set point in weight is reached by means of a vibratory feeder feeding a container on the balance, the electronic balance will send an electronic signal out to switch off the vibratory feeder{close_quotes}. The automation of the reduction of plutonium oxide to plutonium is described.

Process automation

International Nuclear Information System (INIS)

Moser, D.R.

1986-01-01

Process automation technology has been pursued in the chemical processing industries and to a very limited extent in nuclear fuel reprocessing. Its effective use has been restricted in the past by the lack of diverse and reliable process instrumentation and the unavailability of sophisticated software designed for process control. The Integrated Equipment Test (IET) facility was developed by the Consolidated Fuel Reprocessing Program (CFRP) in part to demonstrate new concepts for control of advanced nuclear fuel reprocessing plants. A demonstration of fuel reprocessing equipment automation using advanced instrumentation and a modern, microprocessor-based control system is nearing completion in the facility. This facility provides for the synergistic testing of all chemical process features of a prototypical fuel reprocessing plant that can be attained with unirradiated uranium-bearing feed materials. The unique equipment and mission of the IET facility make it an ideal test bed for automation studies. This effort will provide for the demonstration of the plant automation concept and for the development of techniques for similar applications in a full-scale plant. A set of preliminary recommendations for implementing process automation has been compiled. Some of these concepts are not generally recognized or accepted. The automation work now under way in the IET facility should be useful to others in helping avoid costly mistakes because of the underutilization or misapplication of process automation. 6 figs

An open-source java platform for automated reaction mapping.

Science.gov (United States)

Crabtree, John D; Mehta, Dinesh P; Kouri, Tina M

2010-09-27

This article presents software applications that have been built upon a modular, open-source, reaction mapping library that can be used in both cheminformatics and bioinformatics research. We first describe the theoretical underpinnings and modular architecture of the core software library. We then describe two applications that have been built upon that core. The first is a generic reaction viewer and mapper, and the second classifies reactions according to rules that can be modified by end users with little or no programming skills.

Automated genotyping of dinucleotide repeat markers

Energy Technology Data Exchange (ETDEWEB)

Perlin, M.W.; Hoffman, E.P. [Carnegie Mellon Univ., Pittsburgh, PA (United States)]|[Univ. of Pittsburgh, PA (United States)

1994-09-01

The dinucleotide repeats (i.e., microsatellites) such as CA-repeats are a highly polymorphic, highly abundant class of PCR-amplifiable markers that have greatly streamlined genetic mapping experimentation. It is expected that over 30,000 such markers (including tri- and tetranucleotide repeats) will be characterized for routine use in the next few years. Since only size determination, and not sequencing, is required to determine alleles, in principle, dinucleotide repeat genotyping is easily performed on electrophoretic gels, and can be automated using DNA sequencers. Unfortunately, PCR stuttering with these markers generates not one band for each allele, but a pattern of bands. Since closely spaced alleles must be disambiguated by human scoring, this poses a key obstacle to full automation. We have developed methods that overcome this obstacle. Our model is that the observed data is generated by arithmetic superposition (i.e., convolution) of multiple allele patterns. By quantitatively measuring the size of each component band, and exploiting the unique stutter pattern associated with each marker, closely spaced alleles can be deconvolved; this unambiguously reconstructs the {open_quotes}true{close_quotes} allele bands, with stutter artifact removed. We used this approach in a system for automated diagnosis of (X-linked) Duchenne muscular dystrophy; four multiplexed CA-repeats within the dystrophin gene were assayed on a DNA sequencer. Our method accurately detected small variations in gel migration that shifted the allele size estimate. In 167 nonmutated alleles, 89% (149/167) showed no size variation, 9% (15/167) showed 1 bp variation, and 2% (3/167) showed 2 bp variation. We are currently developing a library of dinucleotide repeat patterns; together with our deconvolution methods, this library will enable fully automated genotyping of dinucleotide repeats from sizing data.

Automation facilities for agricultural machinery control

Directory of Open Access Journals (Sweden)

A. Yu. Izmaylov

2017-01-01

Full Text Available The possibility of use of the automation equipment for agricultural machinery control is investigated. The authors proposed solutions on creation of the centralized unified automated information system for mobile aggregates management. In accordance with the modern requirements this system should be open, integrated into the general schema of agricultural enterprise control. Standard hardware, software and communicative features should be realized in tasks of monitoring and control. Therefore the schema should be get with use the unified modules and Russian standards. The complex multivariate unified automated control system for different objects of agricultural purpose based on block and modular creation should correspond to the following principles: high reliability, simplicity of service, low expenses in case of operation, the short payback period connected to increase in productivity, the reduced losses when harvesting, postharvest processing and storage, the improved energetic indices. Technological processes control in agricultural production is exercised generally with feedback. The example without feedback is program control by temperature in storage in case of the cooling mode. Feedback at technological processes control in agricultural production allows to optimally solve a problem of rational distribution of functions in man-distributed systems and forming the intelligent ergonomic interfaces, consistent with professional perceptions of decision-makers. The negative feedback created by the control unit allows to support automatically a quality index of technological process at the set level. The quantitative analysis of a production situation base itself upon deeply formalized basis of computer facilities that promotes making of the optimal solution. Information automated control system introduction increases labor productivity by 40 percent, reduces energetic costs by 25 percent. Improvement of quality of the executed technological

Spheres of Knowledge that Require Open-mindedness and Open Data

Science.gov (United States)

Branch, B. D.

2009-05-01

The progress of social knowledge is impeded if not paralyzed at present by two fundamental factors, one impinging from knowledge without, and the other operating within the world of science itself' (Mannheim, Wirth, and Shils, p. xi). Hence, a Sphere of Knowledge (SK) defined here as a pseudo-ontology, may require a societal open-mindedness as defined by Dewey (1912). With professional open-mindedness and open data use, such social constructs may bridge and build relations towards efficient and effective societal problem solving. Open data use is defined where information has to be gathered from many sources to provided input for latter decision-making in the public interest. Here, spatial thinking may be the heart of data collection, analysis, and reporting that sustains an informatics experience among all parts of society. Here, at risk may be human survival and sustainability if policy and politics has hindered scientific or evidence-based transfer. Executive Order 12096, Coordinating Geographical Data Acquisition and Access: The National Spatial Data Infrastructure, by the federal government in 1994, may be an example of an informatics gap of knowledge where a federal mandate is not being connected to geosciences tools and community leaders that could benefit an open society. Critical in a SK is how an open society makes effective decisions if the issues it faces are new with unpredictable outcomes. Policy and politics should not impede the scientific or evidence based knowledge transfer but should be a root of democratic tools. Policy development and implementation should reflect such complexities' (Gardner, et al, 2003, p. 2). Conceptually, a SK may be too broad for any one disciplinary to address effectively as a next generation concern. The demand for deep integration of scientific data within and between disciplines is also growing, as larger and broader science questions are becoming more common. Concurrent with the growing demand for next generation

Exploring energy consumption and demand in China

International Nuclear Information System (INIS)

Fan, Ying; Xia, Yan

2012-01-01

China has been experiencing industrialization and urbanization since reform and opening of its economy in 1978. Energy consumption in the country has featured issues such as a coal-dominated energy mix, low energy efficiency and high emissions. Thus, it is of great importance to explore the factors driving the increase in energy consumption in the past two decades and estimate the potential for decreasing energy demands in the future. In this paper a hybrid energy input–output model is used to decompose driving factors to identify how these factors impact changes in energy intensity. A modified RAS approach is applied to project energy requirements in a BAU scenario and an alternative scenario. The results show that energy input mix, industry structure and technology improvements have major influences on energy demand. Energy demand in China will continue to increase at a rapid rate if the economy develops as in the past decades, and is projected to reach 4.7 billion tce in 2020. However, the huge potential for a decrease cannot be neglected, since growth could be better by adjusting the energy mix and industrial structure and enhancing technology improvements. The total energy demand could be less than 4.0 billion tce in 2020. -- Highlights: ► In this paper a hybrid energy input–output model is used to decompose driving factors to China’s energy intensity change. ► A modified RAS approach is applied to project energy requirements in China. ► The results show that energy input mix, industry structure and technology improvements have major influences on energy demand. ► Energy demand in China will reach 4.7 billion ton in 2020 if the economy develops as in the past decades. ► There is a huge potential for a decrease of energy demand by adjusting the energy mix and industrial structure and enhancing technology improvements.

Principles of Automation for Patient Safety in Intensive Care: Learning From Aviation.

Science.gov (United States)

Dominiczak, Jason; Khansa, Lara

2018-06-01

The transition away from written documentation and analog methods has opened up the possibility of leveraging data science and analytic techniques to improve health care. In the implementation of data science techniques and methodologies, high-acuity patients in the ICU can particularly benefit. The Principles of Automation for Patient Safety in Intensive Care (PASPIC) framework draws on Billings's principles of human-centered aviation (HCA) automation and helps in identifying the advantages, pitfalls, and unintended consequences of automation in health care. Billings's HCA principles are based on the premise that human operators must remain "in command," so that they are continuously informed and actively involved in all aspects of system operations. In addition, automated systems need to be predictable, simple to train, to learn, and to operate, and must be able to monitor the human operators, and every intelligent system element must know the intent of other intelligent system elements. In applying Billings's HCA principles to the ICU setting, PAPSIC has three key characteristics: (1) integration and better interoperability, (2) multidimensional analysis, and (3) enhanced situation awareness. PAPSIC suggests that health care professionals reduce overreliance on automation and implement "cooperative automation" and that vendors reduce mode errors and embrace interoperability. Much can be learned from the aviation industry in automating the ICU. Because it combines "smart" technology with the necessary controls to withstand unintended consequences, PAPSIC could help ensure more informed decision making in the ICU and better patient care. Copyright © 2018 The Joint Commission. Published by Elsevier Inc. All rights reserved.

Factory automation for heavy electric equipment

International Nuclear Information System (INIS)

Rokutani, Takashi; Ninomiya, Iwao; Hatayama, Naokatsu; Kato, Hiroshi; Yano, Hideaki.

1986-01-01

The heightening of productivity in the factories manufacturing heavy electric equipment has been advanced so far by the rationalization of direct workings such as NC, robots and the adoption of FMS (flexible manufacturing system). However, as CAD advances, the effective utilization of these data and the expansion to future CIM (computer integrated manufacture) have become to be demanded. In the Hitachi Works of Hitachi Ltd., it was decided to advance the synthetic rationalization by adopting FA (factory automation) system. Steam turbine blades, pipings for nuclear power plants and motor coils were taken up as the objects since these are important parts, and for the purpose of the drastic heightening of QA level, the heightening of accuracy and the shortening of processes, the synchronization with field installation schedule and the creation of safe working place environment, the FA projects for these three sections were simultaneously planned. When the automation of non-mass production factories is promoted, there are the unmanned factories combining FMS lines for relatively many products and those characterized by FMC of shortening preparation time for small lot products, and this is the examples of the former. The system constitution for FA and the production management combined with it are described. The high reliability of the optical network was regarded as important. (Kako, I.)

Analysis of open source GIS software

OpenAIRE

Božnis, Andrius

2006-01-01

GIS is one of the most perspective information technology sciences sphere. GIS conjuncts the digital image analysis and data base systems. This makes GIS wide applicable and very high skills demanding system. There is a lot of commercial GIS software which is well advertised and which functionality is pretty well known, while open source software is forgotten. In this diploma work is made analysis of available open source GIS software on the Internet, in the scope of different projects interr...

A system of innovation to activate practices on open data: The Open4Citizens project

DEFF Research Database (Denmark)

Morelli, Nicola; Götzen, Amalia De; Simeone, Luca

2018-01-01

The increasing production of data is encouraging government institutions to consider the potential of open data as a public resource and to publish a large number of public datasets. This is configuring a new scenario in which open data are likely to play an important role for democracy...... and transparen-cy and for new innovation possibilities, in relation to the creation of a new generation of public services based on open data. In this context, though, it is possible to observe an asymmetry between the supply side of open data and the demand side. While more and more insti-tutions are producing...... and publishing data, there is no public awareness of the way in which such data can be used, nor is there a diffuse practice to work with those data. The definition of a practice for a large use of data is the aim of the Open4Citizens project, which promoted initiatives at different levels: at the level...

Automated pipe handling systems for new and retrofit applications in shallow drilling markets

Energy Technology Data Exchange (ETDEWEB)

McDougall, P.; Fikowski, L.M. [Blackbird Well Servicing Inc., Calgary, AB (Canada)

2003-07-01

This presentation discussed the importance of the human interface as the main element in the development of automated mechanical systems on drilling rigs. Improvements in drilling rig designs are meant to improve manpower efficiencies and performance. The goal for Blackbird Well Servicing is to design automated and integrated processes that can be controlled manually at any point during an operation. Although some drilling operations can be fully automated and fully integrated, certain steps in the process are intentionally left open ended for human intervention. It was concluded that the consistency of performance is the most significant feature of integrated systems and that all drilling contractors should strive for smooth, steady performance rather than brute labour. Speed and efficiency increases with consistent performance. Reliability results in better performance, thereby lowering operating costs and more work for drilling contractors.

Automation inflicted differences on operator performance in nuclear power plant control rooms

Energy Technology Data Exchange (ETDEWEB)

Andersson, Jonas; Osvalder, A.L. [Chalmers Univ. of Technology, Dept. of Product and Producton Development (Sweden)

2007-03-15

Today it is possible to automate almost any function in a human-machine system. Therefore it is important to find a balance between automation level and the prerequisites for the operator to maintain safe operation. Different human factors evaluation methods can be used to find differences between automatic and manual operations that have an effect on operator performance; e.g. Predictive Human Error Analysis (PHEA), NASA Task Load Index (NASA-TLX), Halden Questionnaire, and Human Error Assessment and Reduction Technique (HEART). Results from an empirical study concerning automation levels, made at Ringhals power plant, showed that factors as time pressure and criticality of the work situation influenced the operator's performance and mental workload more than differences in level of automation. The results indicate that the operator's attention strategies differ between the manual and automatic sequences. Independently of level of automation, it is essential that the operator retains control and situational understanding. When performing a manual task, the operator is 'closer' to the process and in control with sufficient situational understanding. When the level of automation increases, the demands on information presentation increase to ensure safe plant operation. The need for control can be met by introducing 'control gates' where the operator has to accept that the automatic procedures are continuing as expected. Situational understanding can be established by clear information about process status and by continuous feedback. A conclusion of the study was that a collaborative control room environment is important. Rather than allocating functions to either the operator or the system, a complementary strategy should be used. Key parameters to consider when planning the work in the control room are time constraints and task criticality and how they affect the performance of the joint cognitive system.However, the examined working

Automation inflicted differences on operator performance in nuclear power plant control rooms

International Nuclear Information System (INIS)

Andersson, Jonas; Osvalder, A.L.

2007-03-01

Today it is possible to automate almost any function in a human-machine system. Therefore it is important to find a balance between automation level and the prerequisites for the operator to maintain safe operation. Different human factors evaluation methods can be used to find differences between automatic and manual operations that have an effect on operator performance; e.g. Predictive Human Error Analysis (PHEA), NASA Task Load Index (NASA-TLX), Halden Questionnaire, and Human Error Assessment and Reduction Technique (HEART). Results from an empirical study concerning automation levels, made at Ringhals power plant, showed that factors as time pressure and criticality of the work situation influenced the operator's performance and mental workload more than differences in level of automation. The results indicate that the operator's attention strategies differ between the manual and automatic sequences. Independently of level of automation, it is essential that the operator retains control and situational understanding. When performing a manual task, the operator is 'closer' to the process and in control with sufficient situational understanding. When the level of automation increases, the demands on information presentation increase to ensure safe plant operation. The need for control can be met by introducing 'control gates' where the operator has to accept that the automatic procedures are continuing as expected. Situational understanding can be established by clear information about process status and by continuous feedback. A conclusion of the study was that a collaborative control room environment is important. Rather than allocating functions to either the operator or the system, a complementary strategy should be used. Key parameters to consider when planning the work in the control room are time constraints and task criticality and how they affect the performance of the joint cognitive system.However, the examined working situations were too different

Social implications of residential demand response in cool temperate climates

International Nuclear Information System (INIS)

Darby, Sarah J.; McKenna, Eoghan

2012-01-01

Residential electrical demand response (DR) offers the prospect of reducing the environmental impact of electricity use, and also the supply costs. However, the relatively small loads and numerous actors imply a large effort: response ratio. Residential DR may be an essential part of future smart grids, but how viable is it in the short to medium term? This paper reviews some DR concepts, then evaluates the propositions that households in cool temperate climates will be in a position to contribute to grid flexibility within the next decade, and that that they will allow some automated load control. Examples of demand response from around the world are discussed in order to assess the main considerations for cool climates. Different tariff types and forms of control are assessed in terms of what is being asked of electricity users, with a focus on real-time pricing and direct load control in energy systems with increasingly distributed resources. The literature points to the significance of thermal loads, supply mix, demand-side infrastructure, market regulation, and the framing of risks and opportunities associated with DR. In concentrating on social aspects of residential demand response, the paper complements the body of work on technical and economic potential. - Highlights: ► Demand response implies major change in governance of electricity systems. ► Households in cool temperate climates can be flexible, mainly with thermal loads. ► DR requires simple tariffs, appropriate enabling technology, education, and feedback. ► Need to test consumer acceptance of DR in specific conditions. ► Introduce tariffs with technologies e.g., TOU tariff plus DLC with electric vehicles.

Capitalizing on global demands for open data access and interoperability - the USGIN story

Science.gov (United States)

Richard, Stephen; Allison, Lee

2016-04-01

U.S. Geoscience Information Network (USGIN - http://usgin.org) data integration framework packages data so that it can be accessible through a broad array of open-source software and applications, including GeoServer, QGIS, GrassGIS, uDig, and gvSIG. USGIN data-sharing networks are designed to interact with other data exchange systems and have the ability to connect information on a granular level without jeopardizing data ownership. The system is compliant with international standards and protocols, scalable, extensible, and can be deployed throughout the world for a myriad of applications. Using GeoSciML as its data transfer standard and a collaborative approach to Content Model development and management, much of the architecture is publically available through GitHub. Initially developed by the USGS and Association of American State Geologists as a distributed, self-maintained platform for sharing geoscience information, USGIN meets all the requirements of the White House Open Data Access Initiative that applies to (almost) all federally-funded research and all federally-maintained data, opening up huge opportunities for further deployment. In December 2015, the USGIN Content Model schema was recommended for adoption by the White House-led US Group on Earth Observations (USGEO) "Draft Common Framework for Earth-Observation Data" for all US earth observation (i.e., satellite) data. The largest USGIN node is the U.S. National Geothermal Data System (NGDS - www.geothermaldata.org). NGDS provides free open access to ~ 10 million data records, maps, and reports, sharing relevant geoscience and land use data to propel geothermal development and production in the U.S. NGDS currently serves information from hundreds of the U.S. Department of Energy's sponsored projects and geologic data feeds from 60+ data providers in all 50 states, using free and open source software, in a federated system where data owners maintain control of their data. This interactive online

The effects of session length on demand functions generated using FR schedules.

Science.gov (United States)

Foster, T Mary; Kinloch, Jennifer; Poling, Alan

2011-05-01

In comparing open and closed economies, researchers often arrange shorter sessions under the former condition than under the latter. Several studies indicate that session length per se can affect performance and there are some data that indicate that this variable can influence demand functions. To provide further data, the present study exposed domestic hens to series of increasing fixed-ratio schedules with the length of the open-economy sessions varied over 10, 40, 60, and 120 min. Session time affected the total-session response rates and pause lengths. The shortest session gave the greatest response rates and shortest pauses and the longest gave the lowest response rates and longest pauses. The total-session demand functions also changed with session length: The shortest session gave steeper initial slopes (i.e., the functions were more elastic at small ratios) and smaller rates of change of elasticity than the longest session. Response rates, pauses, and demand functions were, however, similar for equivalent periods of responding taken from within sessions of different overall lengths (e.g., total-session data for 10-min sessions and the data for the first 10 min of 120-min sessions). These findings suggest that differences in session length can confound the results of studies comparing open and closed economies when those economies are arranged in sessions that differ substantially in length, hence data for equivalent-length periods of responding, rather than total-session data, should be of primary interest under these conditions.

Automated vocabulary discovery for geo-parsing online epidemic intelligence

Directory of Open Access Journals (Sweden)

Freifeld Clark C

2009-11-01

Full Text Available Abstract Background Automated surveillance of the Internet provides a timely and sensitive method for alerting on global emerging infectious disease threats. HealthMap is part of a new generation of online systems designed to monitor and visualize, on a real-time basis, disease outbreak alerts as reported by online news media and public health sources. HealthMap is of specific interest for national and international public health organizations and international travelers. A particular task that makes such a surveillance useful is the automated discovery of the geographic references contained in the retrieved outbreak alerts. This task is sometimes referred to as "geo-parsing". A typical approach to geo-parsing would demand an expensive training corpus of alerts manually tagged by a human. Results Given that human readers perform this kind of task by using both their lexical and contextual knowledge, we developed an approach which relies on a relatively small expert-built gazetteer, thus limiting the need of human input, but focuses on learning the context in which geographic references appear. We show in a set of experiments, that this approach exhibits a substantial capacity to discover geographic locations outside of its initial lexicon. Conclusion The results of this analysis provide a framework for future automated global surveillance efforts that reduce manual input and improve timeliness of reporting.

The automated ground network system

Science.gov (United States)

Smith, Miles T.; Militch, Peter N.

1993-01-01

The primary goal of the Automated Ground Network System (AGNS) project is to reduce Ground Network (GN) station life-cycle costs. To accomplish this goal, the AGNS project will employ an object-oriented approach to develop a new infrastructure that will permit continuous application of new technologies and methodologies to the Ground Network's class of problems. The AGNS project is a Total Quality (TQ) project. Through use of an open collaborative development environment, developers and users will have equal input into the end-to-end design and development process. This will permit direct user input and feedback and will enable rapid prototyping for requirements clarification. This paper describes the AGNS objectives, operations concept, and proposed design.

[Automated measurement of distance vision based on the DIN strategy].

Science.gov (United States)

Effert, R; Steinmetz, H; Jansen, W; Rau, G; Reim, M

1989-07-01

A method for automated measurement of far vision is described which meets the test requirements laid down in the new DIN standards. The subject sits 5 m from a high-resolution monitor on which either Landolt rings or Snellen's types are generated by a computer. By moving a joystick the subject indicates to the computer whether he can see the critical detail (e.g., the direction of opening of the Landolt ring). Depending on the subject's input and the course of the test so far, the computer generates the next test symbol until the threshold criterion is reached. The sequence of presentation of the symbols and the threshold criterion are also in accordance with the DIN standard. Initial measurements of far vision using this automated system produced similar results to those obtained by conventional methods.

Complex Genetics of Behavior: BXDs in the Automated Home-Cage.

Science.gov (United States)

Loos, Maarten; Verhage, Matthijs; Spijker, Sabine; Smit, August B

2017-01-01

This chapter describes a use case for the genetic dissection and automated analysis of complex behavioral traits using the genetically diverse panel of BXD mouse recombinant inbred strains. Strains of the BXD resource differ widely in terms of gene and protein expression in the brain, as well as in their behavioral repertoire. A large mouse resource opens the possibility for gene finding studies underlying distinct behavioral phenotypes, however, such a resource poses a challenge in behavioral phenotyping. To address the specifics of large-scale screening we describe how to investigate: (1) how to assess mouse behavior systematically in addressing a large genetic cohort, (2) how to dissect automation-derived longitudinal mouse behavior into quantitative parameters, and (3) how to map these quantitative traits to the genome, deriving loci underlying aspects of behavior.

FULLY AUTOMATED IMAGE ORIENTATION IN THE ABSENCE OF TARGETS

Directory of Open Access Journals (Sweden)

C. Stamatopoulos

2012-07-01

Full Text Available Automated close-range photogrammetric network orientation has traditionally been associated with the use of coded targets in the object space to allow for an initial relative orientation (RO and subsequent spatial resection of the images. Over the past decade, automated orientation via feature-based matching (FBM techniques has attracted renewed research attention in both the photogrammetry and computer vision (CV communities. This is largely due to advances made towards the goal of automated relative orientation of multi-image networks covering untargetted (markerless objects. There are now a number of CV-based algorithms, with accompanying open-source software, that can achieve multi-image orientation within narrow-baseline networks. From a photogrammetric standpoint, the results are typically disappointing as the metric integrity of the resulting models is generally poor, or even unknown, while the number of outliers within the image matching and triangulation is large, and generally too large to allow relative orientation (RO via the commonly used coplanarity equations. On the other hand, there are few examples within the photogrammetric research field of automated markerless camera calibration to metric tolerances, and these too are restricted to narrow-baseline, low-convergence imaging geometry. The objective addressed in this paper is markerless automatic multi-image orientation, maintaining metric integrity, within networks that incorporate wide-baseline imagery. By wide-baseline we imply convergent multi-image configurations with convergence angles of up to around 90°. An associated aim is provision of a fast, fully automated process, which can be performed without user intervention. For this purpose, various algorithms require optimisation to allow parallel processing utilising multiple PC cores and graphics processing units (GPUs.

Automated Quantitative Rare Earth Elements Mineralogy by Scanning Electron Microscopy

Science.gov (United States)

Sindern, Sven; Meyer, F. Michael

2016-09-01

Increasing industrial demand of rare earth elements (REEs) stems from the central role they play for advanced technologies and the accelerating move away from carbon-based fuels. However, REE production is often hampered by the chemical, mineralogical as well as textural complexity of the ores with a need for better understanding of their salient properties. This is not only essential for in-depth genetic interpretations but also for a robust assessment of ore quality and economic viability. The design of energy and cost-efficient processing of REE ores depends heavily on information about REE element deportment that can be made available employing automated quantitative process mineralogy. Quantitative mineralogy assigns numeric values to compositional and textural properties of mineral matter. Scanning electron microscopy (SEM) combined with a suitable software package for acquisition of backscatter electron and X-ray signals, phase assignment and image analysis is one of the most efficient tools for quantitative mineralogy. The four different SEM-based automated quantitative mineralogy systems, i.e. FEI QEMSCAN and MLA, Tescan TIMA and Zeiss Mineralogic Mining, which are commercially available, are briefly characterized. Using examples of quantitative REE mineralogy, this chapter illustrates capabilities and limitations of automated SEM-based systems. Chemical variability of REE minerals and analytical uncertainty can reduce performance of phase assignment. This is shown for the REE phases parisite and synchysite. In another example from a monazite REE deposit, the quantitative mineralogical parameters surface roughness and mineral association derived from image analysis are applied for automated discrimination of apatite formed in a breakdown reaction of monazite and apatite formed by metamorphism prior to monazite breakdown. SEM-based automated mineralogy fulfils all requirements for characterization of complex unconventional REE ores that will become

Identification of High-Variation Fields based on Open Satellite Imagery

DEFF Research Database (Denmark)

Jeppesen, Jacob Høxbroe; Jacobsen, Rune Hylsberg; Nyholm Jørgensen, Rasmus

2017-01-01

. The categorization is based on vegetation indices derived from Sentinel-2 satellite imagery. A case study on 7678 winter wheat fields is presented, which employs open data and open source software to analyze the satellite imagery. Furthermore, the method can be automated to deliver categorizations at every update......This paper proposes a simple method for categorizing fields on a regional level, with respect to intra-field variations. It aims to identify fields where the potential benefits of applying precision agricultural practices are highest from an economic and environmental perspective...

The experience of women with abortion during adolescence as demanded by their mothers

OpenAIRE

Domingos, Selisvane Ribeiro da Fonseca; Merighi, Miriam Aparecida Barbosa; Jesus, Maria Cristina Pinto de; Oliveira, Deíse Moura de

2013-01-01

OBJECTIVE: to understand the experience of women who induced an abortion during adolescence as demanded by their mothers. METHOD: qualitative study with a social phenomenology approach conducted in 2010 with three women through interviews with open questions. RESULTS: the participants tried to hide their pregnancies from their mothers and when the mothers found out about the pregnancies they decide to interrupt it, demanding that their daughters have an abortion, which was performed ...

Flexible software architecture for user-interface and machine control in laboratory automation.

Science.gov (United States)

Arutunian, E B; Meldrum, D R; Friedman, N A; Moody, S E

1998-10-01

We describe a modular, layered software architecture for automated laboratory instruments. The design consists of a sophisticated user interface, a machine controller and multiple individual hardware subsystems, each interacting through a client-server architecture built entirely on top of open Internet standards. In our implementation, the user-interface components are built as Java applets that are downloaded from a server integrated into the machine controller. The user-interface client can thereby provide laboratory personnel with a familiar environment for experiment design through a standard World Wide Web browser. Data management and security are seamlessly integrated at the machine-controller layer using QNX, a real-time operating system. This layer also controls hardware subsystems through a second client-server interface. This architecture has proven flexible and relatively easy to implement and allows users to operate laboratory automation instruments remotely through an Internet connection. The software architecture was implemented and demonstrated on the Acapella, an automated fluid-sample-processing system that is under development at the University of Washington.

Automation of the shearer loader technique - an overview; Automatisierung der Walzenladertechnik - ein Ueberblick

Energy Technology Data Exchange (ETDEWEB)

Hackelboerger, B.; Hoelling, B. [Eickhoff Bergbautechnik GmbH, Bochum (Germany); Nienhaus, K.; Winkel, R. [RWTH Aachen (DE). Lehr- und Forschungsgebiet Betriebsmittel fuer die Gewinnung mineralischer Rohstoffe (BGMR)

2007-09-06

The present paper deals with the automation of the shearer loader technology. Starting with the reasons for automation: These are firstly the increase of production by way of rationalization, secondly the gentle material handling associated with health protection and safety at work. Consecutive the development of the automation concept by Eickhoff Bergbautechnik GmbH is being presented which commenced in 1986 with the introduction of the Memory Cut at DSK and successfully continued in 1993 with the first-time utilization of the Defined Face Opening (DFO) in Australia. The authors will present the state-of-the-art in the automation of Eickhoff shearer loaders with the EiControl concept. Besides tramming and ranging arm autosteering it comprises further additional modules for the automatic and semi-automatic cutting sequence to enable control and stabilization of the machine. An overview of the supplied systems combined with the experiences made by the respective mine operators will complete our glance at today's opportunities provided by the advanced shearer loader technology. The Outlook discusses the existing limits of automation and presents future development potentials such as coal boundary layer detection and collision prevention which paves the road to automatic longwall control with the vision of an unmanned face. (orig.)

Automated medical follow-up and delayed industrial risks

International Nuclear Information System (INIS)

Smith, M.E.

In response to increasing demand for human data to identify social, environmental, and occupational influences upon health, Statistics Canada has been organizing existing files of vital and health records to facilitate such studies on a national scale. In particular, the development of a Canadian Mortality Data Base file, the initiation of the National Cancer Incidence system, and the development of new computer techniques have helped reduce the cost and increase the scale and efficiency of automated medical follow-up to produce statistics of sickness or death attributable to environmental factors. Specific occupational studies now in progress serve to illustrate the methods, practical difficulties, potential size, and products from such investigations

Lean automation development : applying lean principles to the automation development process

OpenAIRE

Granlund, Anna; Wiktorsson, Magnus; Grahn, Sten; Friedler, Niklas

2014-01-01

By a broad empirical study it is indicated that automation development show potential of improvement. In the paper, 13 lean product development principles are contrasted to the automation development process and it is suggested why and how these principles can facilitate, support and improve the automation development process. The paper summarises a description of what characterises a lean automation development process and what consequences it entails. Main differences compared to current pr...

An Automated, High-Throughput System for GISAXS and GIWAXS Measurements of Thin Films

Science.gov (United States)

Schaible, Eric; Jimenez, Jessica; Church, Matthew; Lim, Eunhee; Stewart, Polite; Hexemer, Alexander

Grazing incidence small-angle X-ray scattering (GISAXS) and grazing incidence wide-angle X-ray scattering (GIWAXS) are important techniques for characterizing thin films. In order to meet rapidly increasing demand, the SAXSWAXS beamline at the Advanced Light Source (beamline 7.3.3) has implemented a fully automated, high-throughput system to conduct SAXS, GISAXS and GIWAXS measurements. An automated robot arm transfers samples from a holding tray to a measurement stage. Intelligent software aligns each sample in turn, and measures each according to user-defined specifications. Users mail in trays of samples on individually barcoded pucks, and can download and view their data remotely. Data will be pipelined to the NERSC supercomputing facility, and will be available to users via a web portal that facilitates highly parallelized analysis.

Bottom-Up Technologies for Reuse: Automated Extractive Adoption of Software Product Lines

OpenAIRE

Martinez , Jabier ,; Ziadi , Tewfik; Bissyandé , Tegawendé; Klein , Jacques ,; Le Traon , Yves ,

2017-01-01

International audience; Adopting Software Product Line (SPL) engineering principles demands a high up-front investment. Bottom-Up Technologies for Reuse (BUT4Reuse) is a generic and extensible tool aimed to leverage existing similar software products in order to help in extractive SPL adoption. The envisioned users are 1) SPL adopters and 2) Integrators of techniques and algorithms to provide automation in SPL adoption activities. We present the methodology it implies for both types of users ...

An Open Portal for Blended Learning

DEFF Research Database (Denmark)

Grønbæk, Kaj; Bouvin, Niels Olof; Petersen, Marianne Graves

2004-01-01

The combination of traditional teaching and Web-based teaching, so called blended learning, is a challenge to the teachers as well as to the students. This shift in teaching demands an openness and flexibility from the technical platform which has not been found in the existing tools. Therefore...

Parameters Investigation of Mathematical Model of Productivity for Automated Line with Availability by DMAIC Methodology

Directory of Open Access Journals (Sweden)

Tan Chan Sin

2014-01-01

Full Text Available Automated line is widely applied in industry especially for mass production with less variety product. Productivity is one of the important criteria in automated line as well as industry which directly present the outputs and profits. Forecast of productivity in industry accurately in order to achieve the customer demand and the forecast result is calculated by using mathematical model. Mathematical model of productivity with availability for automated line has been introduced to express the productivity in terms of single level of reliability for stations and mechanisms. Since this mathematical model of productivity with availability cannot achieve close enough productivity compared to actual one due to lack of parameters consideration, the enhancement of mathematical model is required to consider and add the loss parameters that is not considered in current model. This paper presents the investigation parameters of productivity losses investigated by using DMAIC (Define, Measure, Analyze, Improve, and Control concept and PACE Prioritization Matrix (Priority, Action, Consider, and Eliminate. The investigated parameters are important for further improvement of mathematical model of productivity with availability to develop robust mathematical model of productivity in automated line.

Open source tools for fluorescent imaging.

Science.gov (United States)

Hamilton, Nicholas A

2012-01-01

As microscopy becomes increasingly automated and imaging expands in the spatial and time dimensions, quantitative analysis tools for fluorescent imaging are becoming critical to remove both bottlenecks in throughput as well as fully extract and exploit the information contained in the imaging. In recent years there has been a flurry of activity in the development of bio-image analysis tools and methods with the result that there are now many high-quality, well-documented, and well-supported open source bio-image analysis projects with large user bases that cover essentially every aspect from image capture to publication. These open source solutions are now providing a viable alternative to commercial solutions. More importantly, they are forming an interoperable and interconnected network of tools that allow data and analysis methods to be shared between many of the major projects. Just as researchers build on, transmit, and verify knowledge through publication, open source analysis methods and software are creating a foundation that can be built upon, transmitted, and verified. Here we describe many of the major projects, their capabilities, and features. We also give an overview of the current state of open source software for fluorescent microscopy analysis and the many reasons to use and develop open source methods. Copyright © 2012 Elsevier Inc. All rights reserved.

Both Automation and Paper.

Science.gov (United States)

Purcell, Royal

1988-01-01

Discusses the concept of a paperless society and the current situation in library automation. Various applications of automation and telecommunications are addressed, and future library automation is considered. Automation at the Monroe County Public Library in Bloomington, Indiana, is described as an example. (MES)

Demand outlook : back to the 1990s or a new paradigm?

International Nuclear Information System (INIS)

Diwan, R.

2002-01-01

Economic growth in Asia will be much lower in the next five years compared to what it was in the first two thirds of the last decade. There are many structural reasons for this turn of events, but slower economic growth will play an important role on oil demand. Structural economic problems will slow demand in Asia, structurally reducing global demand growth in the next 3 to 5 years. The four trends that will impact oil supply levels include: (1) impact of new technologies, (2) impact of price cycle in mature areas, (3) solutions to geopolitical problems, and (4) increase in OPEC capacity. In the next 5 to 7 years oil demand in Asia will be lower than during the 1990 and 1997 period, when Pacific Basin demand growth averaged 5.5 per cent, or nearly 0.9 million barrels per day on an annual average. A new set of dynamics in the crude oil market will be created as a result of these changes. Prices and flows will be destabilized. The lower demand for oil in Asia will have major consequences for global demand, prices and OPEC strategy. The opening of the upstream sector in most OPEC countries will result in faster growth in production capacity. 13 figs

Automated Groundwater Screening

International Nuclear Information System (INIS)

Taylor, Glenn A.; Collard, Leonard B.

2005-01-01

The Automated Intruder Analysis has been extended to include an Automated Ground Water Screening option. This option screens 825 radionuclides while rigorously applying the National Council on Radiation Protection (NCRP) methodology. An extension to that methodology is presented to give a more realistic screening factor for those radionuclides which have significant daughters. The extension has the promise of reducing the number of radionuclides which must be tracked by the customer. By combining the Automated Intruder Analysis with the Automated Groundwater Screening a consistent set of assumptions and databases is used. A method is proposed to eliminate trigger values by performing rigorous calculation of the screening factor thereby reducing the number of radionuclides sent to further analysis. Using the same problem definitions as in previous groundwater screenings, the automated groundwater screening found one additional nuclide, Ge-68, which failed the screening. It also found that 18 of the 57 radionuclides contained in NCRP Table 3.1 failed the screening. This report describes the automated groundwater screening computer application

SLAE-CPS: Smart Lean Automation Engine Enabled by Cyber-Physical Systems Technologies.

Science.gov (United States)

Ma, Jing; Wang, Qiang; Zhao, Zhibiao

2017-06-28

In the context of Industry 4.0, the demand for the mass production of highly customized products will lead to complex products and an increasing demand for production system flexibility. Simply implementing lean production-based human-centered production or high automation to improve system flexibility is insufficient. Currently, lean automation (Jidoka) that utilizes cyber-physical systems (CPS) is considered a cost-efficient and effective approach for improving system flexibility under shrinking global economic conditions. Therefore, a smart lean automation engine enabled by CPS technologies (SLAE-CPS), which is based on an analysis of Jidoka functions and the smart capacity of CPS technologies, is proposed in this study to provide an integrated and standardized approach to design and implement a CPS-based smart Jidoka system. A set of comprehensive architecture and standardized key technologies should be presented to achieve the above-mentioned goal. Therefore, a distributed architecture that joins service-oriented architecture, agent, function block (FB), cloud, and Internet of things is proposed to support the flexible configuration, deployment, and performance of SLAE-CPS. Then, several standardized key techniques are proposed under this architecture. The first one is for converting heterogeneous physical data into uniform services for subsequent abnormality analysis and detection. The second one is a set of Jidoka scene rules, which is abstracted based on the analysis of the operator, machine, material, quality, and other factors in different time dimensions. These Jidoka rules can support executive FBs in performing different Jidoka functions. Finally, supported by the integrated and standardized approach of our proposed engine, a case study is conducted to verify the current research results. The proposed SLAE-CPS can serve as an important reference value for combining the benefits of innovative technology and proper methodology.

SLAE–CPS: Smart Lean Automation Engine Enabled by Cyber-Physical Systems Technologies

Science.gov (United States)

Ma, Jing; Wang, Qiang; Zhao, Zhibiao

2017-01-01

In the context of Industry 4.0, the demand for the mass production of highly customized products will lead to complex products and an increasing demand for production system flexibility. Simply implementing lean production-based human-centered production or high automation to improve system flexibility is insufficient. Currently, lean automation (Jidoka) that utilizes cyber-physical systems (CPS) is considered a cost-efficient and effective approach for improving system flexibility under shrinking global economic conditions. Therefore, a smart lean automation engine enabled by CPS technologies (SLAE–CPS), which is based on an analysis of Jidoka functions and the smart capacity of CPS technologies, is proposed in this study to provide an integrated and standardized approach to design and implement a CPS-based smart Jidoka system. A set of comprehensive architecture and standardized key technologies should be presented to achieve the above-mentioned goal. Therefore, a distributed architecture that joins service-oriented architecture, agent, function block (FB), cloud, and Internet of things is proposed to support the flexible configuration, deployment, and performance of SLAE–CPS. Then, several standardized key techniques are proposed under this architecture. The first one is for converting heterogeneous physical data into uniform services for subsequent abnormality analysis and detection. The second one is a set of Jidoka scene rules, which is abstracted based on the analysis of the operator, machine, material, quality, and other factors in different time dimensions. These Jidoka rules can support executive FBs in performing different Jidoka functions. Finally, supported by the integrated and standardized approach of our proposed engine, a case study is conducted to verify the current research results. The proposed SLAE–CPS can serve as an important reference value for combining the benefits of innovative technology and proper methodology. PMID:28657577

Algebraic structure of open string interactions

International Nuclear Information System (INIS)

Ramond, P.; Rodgers, V.G.J.

1986-05-01

Starting from the gauge invariant equations of motion for the free open string we show how to generate interactions by analogy with Yang-Mills. We postulate Non-Abelian transformation laws acting on the fields of the gauge invariant free open string theory. By demanding algebraic closure we then derive a set of consistency requirements and show that they lead to the construction of the minimal interacting equations which contain no cubic terms away from the physical gauge. We present explicit solutions to lowest interacting order for both vertices and structure functions. 14 refs

Algebraic structure of open-string interactions

International Nuclear Information System (INIS)

Ramond, P.; Rodgers, V.G.J.

1986-01-01

Starting from the gauge-invariant equations of motion for the free open string we show how to generate interactions by analogy with the Yang-Mills system. We postulate non-Abelian transformation laws acting on the fields of the gauge-invariant free open-string theory. By demanding algebraic closure we then derive a set of consistency requirements and show that they lead to the construction of the minimal interacting equations which contain no cubic terms away from the physical gauge. We present explicit solutions to lowest interacting order for both vertices and structure functions

A SOA-Based Embedded Systems Development Environment for Industrial Automation

Directory of Open Access Journals (Sweden)

G. Doukas

2007-10-01

Full Text Available 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.

Prediction Models for Dynamic Demand Response

Energy Technology Data Exchange (ETDEWEB)

Aman, Saima; Frincu, Marc; Chelmis, Charalampos; Noor, Muhammad; Simmhan, Yogesh; Prasanna, Viktor K.

2015-11-02

As Smart Grids move closer to dynamic curtailment programs, Demand Response (DR) events will become necessary not only on fixed time intervals and weekdays predetermined by static policies, but also during changing decision periods and weekends to react to real-time demand signals. Unique challenges arise in this context vis-a-vis demand prediction and curtailment estimation and the transformation of such tasks into an automated, efficient dynamic demand response (D²R) process. While existing work has concentrated on increasing the accuracy of prediction models for DR, there is a lack of studies for prediction models for D²R, which we address in this paper. Our first contribution is the formal definition of D²R, and the description of its challenges and requirements. Our second contribution is a feasibility analysis of very-short-term prediction of electricity consumption for D²R over a diverse, large-scale dataset that includes both small residential customers and large buildings. Our third, and major contribution is a set of insights into the predictability of electricity consumption in the context of D²R. Specifically, we focus on prediction models that can operate at a very small data granularity (here 15-min intervals), for both weekdays and weekends - all conditions that characterize scenarios for D²R. We find that short-term time series and simple averaging models used by Independent Service Operators and utilities achieve superior prediction accuracy. We also observe that workdays are more predictable than weekends and holiday. Also, smaller customers have large variation in consumption and are less predictable than larger buildings. Key implications of our findings are that better models are required for small customers and for non-workdays, both of which are critical for D²R. Also, prediction models require just few days’ worth of data indicating that small amounts of

Oh and by the way, you get meter readings too : a look at distribution automation, intelligent grids, and demand side management : getting the real value from your AMI

Energy Technology Data Exchange (ETDEWEB)

Summerlin, T. [Gestalt, Camden, NJ (United States); Ferguson, P.D. [Newmarket Hydro Ltd., Newmarket, ON (Canada)

2006-07-01

The full value of smart metering programs will be realized when information and communication capabilities are used to enable distribution automation, intelligent grids, and sufficient data management that will transform interval meter data into useful information. By leveraging and managing meter data effectively, utilities can increase their operational efficiency, improve their understanding of customers' needs, and develop more effective demand side management programs. This presentation examined some of the changing priorities of advanced metering infrastructure (AMI) strategies, and provided details of meter data management (MDM) technologies developed to help utilities increase efficiency, cut costs and provide better service to their customers. An MDM system is the set of data bases and applications required to provide utilities with a solution for the data retention, analysis and storage repository gaps that will be created when monthly manual meter readings are replaced with AMI systems. In order to resolve storage, functionality and legacy integration gaps, MDM systems must be scalable systems that can support large and small quantities of meter data, and must also conform to industry standard data warehouse designs. Data structure in the systems must support both regulated and deregulated markets, and be capable of providing extensive graphical, tabular and Excel export of the metered and totalized data from the interval to system level. MDM systems can provide improved support for demand response decision-making processes; distribution planning and reliability; outage management; revenue assurance; forecasting; and curtailment. It was concluded that MDM systems can be used to improve processes and provide additional benefits well beyond the meter reading and billing process benefits originally identified by utilities as a primary goal of implementing AMI. refs., tabs., figs.

ms_lims, a simple yet powerful open source laboratory information management system for MS-driven proteomics.

Science.gov (United States)

Helsens, Kenny; Colaert, Niklaas; Barsnes, Harald; Muth, Thilo; Flikka, Kristian; Staes, An; Timmerman, Evy; Wortelkamp, Steffi; Sickmann, Albert; Vandekerckhove, Joël; Gevaert, Kris; Martens, Lennart

2010-03-01

MS-based proteomics produces large amounts of mass spectra that require processing, identification and possibly quantification before interpretation can be undertaken. High-throughput studies require automation of these various steps, and management of the data in association with the results obtained. We here present ms_lims (http://genesis.UGent.be/ms_lims), a freely available, open-source system based on a central database to automate data management and processing in MS-driven proteomics analyses.

Generating Systems Biology Markup Language Models from the Synthetic Biology Open Language.

Science.gov (United States)

Roehner, Nicholas; Zhang, Zhen; Nguyen, Tramy; Myers, Chris J

2015-08-21

In the context of synthetic biology, model generation is the automated process of constructing biochemical models based on genetic designs. This paper discusses the use cases for model generation in genetic design automation (GDA) software tools and introduces the foundational concepts of standards and model annotation that make this process useful. Finally, this paper presents an implementation of model generation in the GDA software tool iBioSim and provides an example of generating a Systems Biology Markup Language (SBML) model from a design of a 4-input AND sensor written in the Synthetic Biology Open Language (SBOL).

Beyond crosswalks: reliability of exposure assessment following automated coding of free-text job descriptions for occupational epidemiology.

Science.gov (United States)

Burstyn, Igor; Slutsky, Anton; Lee, Derrick G; Singer, Alison B; An, Yuan; Michael, Yvonne L

2014-05-01

Epidemiologists typically collect narrative descriptions of occupational histories because these are less prone than self-reported exposures to recall bias of exposure to a specific hazard. However, the task of coding these narratives can be daunting and prohibitively time-consuming in some settings. The aim of this manuscript is to evaluate the performance of a computer algorithm to translate the narrative description of occupational codes into standard classification of jobs (2010 Standard Occupational Classification) in an epidemiological context. The fundamental question we address is whether exposure assignment resulting from manual (presumed gold standard) coding of the narratives is materially different from that arising from the application of automated coding. We pursued our work through three motivating examples: assessment of physical demands in Women's Health Initiative observational study, evaluation of predictors of exposure to coal tar pitch volatiles in the US Occupational Safety and Health Administration's (OSHA) Integrated Management Information System, and assessment of exposure to agents known to cause occupational asthma in a pregnancy cohort. In these diverse settings, we demonstrate that automated coding of occupations results in assignment of exposures that are in reasonable agreement with results that can be obtained through manual coding. The correlation between physical demand scores based on manual and automated job classification schemes was reasonable (r = 0.5). The agreement between predictive probability of exceeding the OSHA's permissible exposure level for polycyclic aromatic hydrocarbons, using coal tar pitch volatiles as a surrogate, based on manual and automated coding of jobs was modest (Kendall rank correlation = 0.29). In the case of binary assignment of exposure to asthmagens, we observed that fair to excellent agreement in classifications can be reached, depending on presence of ambiguity in assigned job classification (κ

The application and implementation of optimized mine ventilation on demand (OMVOD) at the Xstrata Nickel Rim South Mine, Sudbury, Ontario

International Nuclear Information System (INIS)

Bartsch, E.; Laine, M.; Andersen, M.

2010-01-01

An Optimized Mine Ventilation on Demand (OMVOD) system has been installed at the Xstrata Nickel Rim South Mine in Sudbury. Developed by Simsmart Technologies, the OMVOD system monitors and controls air quality and quantity through real time dynamic automation. A ventilation on demand (VOD) system was needed to remove diesel particulate matter (DPM), carbon monoxide (CO) and nitrogen dioxide (NO 2 ). This paper described the real-time tracking and monitoring of the OMVOD system and optimization of ventilation equipment. Simsmart's OMVOD system was shown to reduce energy costs while improve air quality in the underground mine. 7 refs., 3 tabs., 8 figs.

Semi-automatic Citation Correction with Lemon8-XML

Directory of Open Access Journals (Sweden)

MJ Suhonos

2009-03-01

Full Text Available The Lemon8-XML software application, developed by the Public Knowledge Project (PKP, provides an open-source, computer-assisted interface for reliable citation structuring and validation. Lemon8-XML combines citation parsing algorithms with freely-available online indexes such as PubMed, WorldCat, and OAIster. Fully-automated markup of entire bibliographies may be a genuine possibility using this approach. Automated markup of citations would increase bibliographic accuracy while reducing copyediting demands.

Automated model building

CERN Document Server

Caferra, Ricardo; Peltier, Nicholas

2004-01-01

This is the first book on automated model building, a discipline of automated deduction that is of growing importance Although models and their construction are important per se, automated model building has appeared as a natural enrichment of automated deduction, especially in the attempt to capture the human way of reasoning The book provides an historical overview of the field of automated deduction, and presents the foundations of different existing approaches to model construction, in particular those developed by the authors Finite and infinite model building techniques are presented The main emphasis is on calculi-based methods, and relevant practical results are provided The book is of interest to researchers and graduate students in computer science, computational logic and artificial intelligence It can also be used as a textbook in advanced undergraduate courses

Automated Functional Testing based on the Navigation of Web Applications

Directory of Open Access Journals (Sweden)

Boni García

2011-08-01

Full Text Available Web applications are becoming more and more complex. Testing such applications is an intricate hard and time-consuming activity. Therefore, testing is often poorly performed or skipped by practitioners. Test automation can help to avoid this situation. Hence, this paper presents a novel approach to perform automated software testing for web applications based on its navigation. On the one hand, web navigation is the process of traversing a web application using a browser. On the other hand, functional requirements are actions that an application must do. Therefore, the evaluation of the correct navigation of web applications results in the assessment of the specified functional requirements. The proposed method to perform the automation is done in four levels: test case generation, test data derivation, test case execution, and test case reporting. This method is driven by three kinds of inputs: i UML models; ii Selenium scripts; iii XML files. We have implemented our approach in an open-source testing framework named Automatic Testing Platform. The validation of this work has been carried out by means of a case study, in which the target is a real invoice management system developed using a model-driven approach.

Robotic Automation in Computer Controlled Polishing

Science.gov (United States)

Walker, D. D.; Yu, G.; Bibby, M.; Dunn, C.; Li, H.; Wu, Y.; Zheng, X.; Zhang, P.

2016-02-01

We first present a Case Study - the manufacture of 1.4 m prototype mirror-segments for the European Extremely Large Telescope, undertaken by the National Facility for Ultra Precision Surfaces, at the OpTIC facility operated by Glyndwr University. Scale-up to serial-manufacture demands delivery of a 1.4 m off-axis aspheric hexagonal segment with surface precision robots and computer numerically controlled ('CNC') polishing machines for optical fabrication. The objective was not to assess which is superior. Rather, it was to understand for the first time their complementary properties, leading us to operate them together as a unit, integrated in hardware and software. Three key areas are reported. First is the novel use of robots to automate currently-manual operations on CNC polishing machines, to improve work-throughput, mitigate risk of damage to parts, and reduce dependence on highly-skilled staff. Second is the use of robots to pre-process surfaces prior to CNC polishing, to reduce total process time. The third draws the threads together, describing our vision of the automated manufacturing cell, where the operator interacts at cell rather than machine level. This promises to deliver a step-change in end-to-end manufacturing times and costs, compared with either platform used on its own or, indeed, the state-of-the-art used elsewhere.

Demand Uncertainty

DEFF Research Database (Denmark)

Nguyen, Daniel Xuyen

This paper presents a model of trade that explains why firms wait to export and why many exporters fail. Firms face uncertain demands that are only realized after the firm enters the destination. The model retools the timing of uncertainty resolution found in productivity heterogeneity models....... This retooling addresses several shortcomings. First, the imperfect correlation of demands reconciles the sales variation observed in and across destinations. Second, since demands for the firm's output are correlated across destinations, a firm can use previously realized demands to forecast unknown demands...... in untested destinations. The option to forecast demands causes firms to delay exporting in order to gather more information about foreign demand. Third, since uncertainty is resolved after entry, many firms enter a destination and then exit after learning that they cannot profit. This prediction reconciles...

BioBlocks: Programming Protocols in Biology Made Easier.

Science.gov (United States)

Gupta, Vishal; Irimia, Jesús; Pau, Iván; Rodríguez-Patón, Alfonso

2017-07-21

The methods to execute biological experiments are evolving. Affordable fluid handling robots and on-demand biology enterprises are making automating entire experiments a reality. Automation offers the benefit of high-throughput experimentation, rapid prototyping, and improved reproducibility of results. However, learning to automate and codify experiments is a difficult task as it requires programming expertise. Here, we present a web-based visual development environment called BioBlocks for describing experimental protocols in biology. It is based on Google's Blockly and Scratch, and requires little or no experience in computer programming to automate the execution of experiments. The experiments can be specified, saved, modified, and shared between multiple users in an easy manner. BioBlocks is open-source and can be customized to execute protocols on local robotic platforms or remotely, that is, in the cloud. It aims to serve as a de facto open standard for programming protocols in Biology.

Security of gas supply in open markets. LNG and power at a turning point

International Nuclear Information System (INIS)

2004-01-01

Since the 'IEA Study on Security of Gas Supply' was published in 1995, many member countries have started to open their gas and electricity markets to competition. Governments progressively withdrew from directly managing the gas sector; they concentrate now on setting objectives and the framework for competition. With the continued growth of gas demand and the decline of domestic reserves, most IEA countries have to import more gas, mainly for power generation. This requires access to gas reserves at competitive conditions, as well as timely investment in new infrastructure to ensure a reliable gas supply. Reform has led to open markets, where supply and demand are balanced by the market. In the gas sector, supply is capacity-bound and large parts of the demand side are inelastic. The study looks at how governments and other stakeholders in IEA countries respond to the need to create a framework that enables the players to deliver secure and reliable gas supply at the border and all the way down to the final customer. This book analyses the most recent developments in security of gas supply and reliability in all IEA regions in the context of open markets and in view of the new demand and supply trends. A CD-Rom featuring the positions of the main stakeholders (governments, regulators, industry, customers and other organisations) is included with the publication. 'Security of Gas Supply in Open Markets' is a follow-up of 'Flexibility in Natural Gas Supply and Demand' in the IEA series on energy market reforms

First field demonstration of cloud datacenter workflow automation employing dynamic optical transport network resources under OpenStack and OpenFlow orchestration.

Science.gov (United States)

Szyrkowiec, Thomas; Autenrieth, Achim; Gunning, Paul; Wright, Paul; Lord, Andrew; Elbers, Jörg-Peter; Lumb, Alan

2014-02-10

For the first time, we demonstrate the orchestration of elastic datacenter and inter-datacenter transport network resources using a combination of OpenStack and OpenFlow. Programmatic control allows a datacenter operator to dynamically request optical lightpaths from a transport network operator to accommodate rapid changes of inter-datacenter workflows.

Survey on Wireless Sensor Network Technologies for Industrial Automation: The Security and Quality of Service Perspectives

Directory of Open Access Journals (Sweden)

Delphine Christin

2010-04-01

Full Text Available Wireless Sensor Networks (WSNs are gradually adopted in the industrial world due to their advantages over wired networks. In addition to saving cabling costs, WSNs widen the realm of environments feasible for monitoring. They thus add sensing and acting capabilities to objects in the physical world and allow for communication among these objects or with services in the future Internet. However, the acceptance of WSNs by the industrial automation community is impeded by open issues, such as security guarantees and provision of Quality of Service (QoS. To examine both of these perspectives, we select and survey relevant WSN technologies dedicated to industrial automation. We determine QoS requirements and carry out a threat analysis, which act as basis of our evaluation of the current state-of-the-art. According to the results of this evaluation, we identify and discuss open research issues.

三开门自动温室气体测定箱的应用效果%Effect of greenhouse gas measurement of three-side-open automated chamber

Institute of Scientific and Technical Information of China (English)

万运帆; 李玉娥; 刘运通; 高清竹; 秦晓波; 刘硕; 马欣

2011-01-01

为了降低农田自动温室气体测定箱在观测过程中对作物生长环境及作物生长的干扰,本研究在玉米大田环境条件下比较了一种新型的三开门 自动温室气体测定箱与传统单开门自动温室气体测定箱对环境空气温湿度、土壤温度与水分、玉米生长以及温室气体排放的影响.结果表明:三开门温室气体测定箱能显著减小与大田环境条件下的空气温度、湿度及土壤温度的差异;相对于单开门箱,三开门箱在箱体打开及关闭条件下气温平均低0.90和0.74℃,空气湿度平均增加1.36％和降低5.69％:在玉米小喇叭口期前土壤温度约降低2℃,小喇叭口期后差异不显著;对土壤水分的影响在玉米苗期有一定的作用,但差异小显著;三开 门箱相对于单开门箱能显著降低箱体对作物生长的影响,还能降低CO2平均通量值6.85％及N2O的平均通量值3.68％,而对CH4平均通量值基本无影响.因此,三开门箱相对于传统单开门自动温室气体测定箱能显著减小测定箱时观测环境及作物生长的干扰,应用这种箱体观测能更好地反映田间温室气体排放状况.%In order to decrease the disturbance of automatic chamber on crop growth and its growing environment during greenhouse gases measurement, the effect experiment of a three-side-open automated chamber on greenhouse gases measurement in maize field was conducted in compare with traditional open-at-top chamber. The experiment was to test the three-side-open chamber's character on ambient temperature, ambient relative humidity, soil temperature, soil moisture, crop growth and greenhouse gases emission. Results showed that in compare with traditional open-at-top chamber, the three-side-open chamber can significantly decrease the influence of chamber on ambient temperature, ambient relative humidity and soil temperature. It can decrease ambient temperature by 0.90℃and increase air relative humidity by 1

Knowledge structure representation and automated updates in intelligent information management systems

Science.gov (United States)

Corey, Stephen; Carnahan, Richard S., Jr.

1990-01-01

A continuing effort to apply rapid prototyping and Artificial Intelligence techniques to problems associated with projected Space Station-era information management systems is examined. In particular, timely updating of the various databases and knowledge structures within the proposed intelligent information management system (IIMS) is critical to support decision making processes. Because of the significantly large amounts of data entering the IIMS on a daily basis, information updates will need to be automatically performed with some systems requiring that data be incorporated and made available to users within a few hours. Meeting these demands depends first, on the design and implementation of information structures that are easily modified and expanded, and second, on the incorporation of intelligent automated update techniques that will allow meaningful information relationships to be established. Potential techniques are studied for developing such an automated update capability and IIMS update requirements are examined in light of results obtained from the IIMS prototyping effort.

Open Access Publishing - Strengths and Strategies

Science.gov (United States)

Rasmussen, Martin

2010-05-01

The journal crisis and the demand for free accessibility to the results of publicly funded research were the main drivers of the Open Access movement since the late 1990's. Besides many academic institutions that support the different ways of Open Access publishing, there is a growing number of publishing houses that are specialized on this new access and business model of scholarly literature. The lecture provides an overview of the different kinds of Open Access publishing, discusses the variety of underlying business models, names the advantages and potentials for researches and the public, and overcomes some objections against Open Access. Besides the increased visibility and information supply, the topic of copyrights and exploitation rights will be discussed. Furthermore, it is a central aim of the presentation to show that Open Access does not only support full peer-review, but also provides the potential for even enhanced quality assurance. The financing of business models based on open accessible literature is another important part to be outlined in the lecture.

Hooke: an open software platform for force spectroscopy.

Science.gov (United States)

Sandal, Massimo; Benedetti, Fabrizio; Brucale, Marco; Gomez-Casado, Alberto; Samorì, Bruno

2009-06-01

Hooke is an open source, extensible software intended for analysis of atomic force microscope (AFM)-based single molecule force spectroscopy (SMFS) data. We propose it as a platform on which published and new algorithms for SMFS analysis can be integrated in a standard, open fashion, as a general solution to the current lack of a standard software for SMFS data analysis. Specific features and support for file formats are coded as independent plugins. Any user can code new plugins, extending the software capabilities. Basic automated dataset filtering and semi-automatic analysis facilities are included. Software and documentation are available at (http://code.google.com/p/hooke). Hooke is a free software under the GNU Lesser General Public License.

Open-source, community-driven microfluidics with Metafluidics.

Science.gov (United States)

Kong, David S; Thorsen, Todd A; Babb, Jonathan; Wick, Scott T; Gam, Jeremy J; Weiss, Ron; Carr, Peter A

2017-06-07

Microfluidic devices have the potential to automate and miniaturize biological experiments, but open-source sharing of device designs has lagged behind sharing of other resources such as software. Synthetic biologists have used microfluidics for DNA assembly, cell-free expression, and cell culture, but a combination of expense, device complexity, and reliance on custom set-ups hampers their widespread adoption. We present Metafluidics, an open-source, community-driven repository that hosts digital design files, assembly specifications, and open-source software to enable users to build, configure, and operate a microfluidic device. We use Metafluidics to share designs and fabrication instructions for both a microfluidic ring-mixer device and a 32-channel tabletop microfluidic controller. This device and controller are applied to build genetic circuits using standard DNA assembly methods including ligation, Gateway, Gibson, and Golden Gate. Metafluidics is intended to enable a broad community of engineers, DIY enthusiasts, and other nontraditional participants with limited fabrication skills to contribute to microfluidic research.

A review of the automated detection and classification of acute leukaemia: Coherent taxonomy, datasets, validation and performance measurements, motivation, open challenges and recommendations.

Science.gov (United States)

Alsalem, M A; Zaidan, A A; Zaidan, B B; Hashim, M; Madhloom, H T; Azeez, N D; Alsyisuf, S

2018-05-01

Acute leukaemia diagnosis is a field requiring automated solutions, tools and methods and the ability to facilitate early detection and even prediction. Many studies have focused on the automatic detection and classification of acute leukaemia and their subtypes to promote enable highly accurate diagnosis. This study aimed to review and analyse literature related to the detection and classification of acute leukaemia. The factors that were considered to improve understanding on the field's various contextual aspects in published studies and characteristics were motivation, open challenges that confronted researchers and recommendations presented to researchers to enhance this vital research area. We systematically searched all articles about the classification and detection of acute leukaemia, as well as their evaluation and benchmarking, in three main databases: ScienceDirect, Web of Science and IEEE Xplore from 2007 to 2017. These indices were considered to be sufficiently extensive to encompass our field of literature. Based on our inclusion and exclusion criteria, 89 articles were selected. Most studies (58/89) focused on the methods or algorithms of acute leukaemia classification, a number of papers (22/89) covered the developed systems for the detection or diagnosis of acute leukaemia and few papers (5/89) presented evaluation and comparative studies. The smallest portion (4/89) of articles comprised reviews and surveys. Acute leukaemia diagnosis, which is a field requiring automated solutions, tools and methods, entails the ability to facilitate early detection or even prediction. Many studies have been performed on the automatic detection and classification of acute leukaemia and their subtypes to promote accurate diagnosis. Research areas on medical-image classification vary, but they are all equally vital. We expect this systematic review to help emphasise current research opportunities and thus extend and create additional research fields. Copyright �

Intraoperative Cochlear Implant Device Testing Utilizing an Automated Remote System: A Prospective Pilot Study.

Science.gov (United States)

Lohmann, Amanda R; Carlson, Matthew L; Sladen, Douglas P

2018-03-01

Intraoperative cochlear implant device testing provides valuable information regarding device integrity, electrode position, and may assist with determining initial stimulation settings. Manual intraoperative device testing during cochlear implantation requires the time and expertise of a trained audiologist. The purpose of the current study is to investigate the feasibility of using automated remote intraoperative cochlear implant reverse telemetry testing as an alternative to standard testing. Prospective pilot study evaluating intraoperative remote automated impedance and Automatic Neural Response Telemetry (AutoNRT) testing in 34 consecutive cochlear implant surgeries using the Intraoperative Remote Assistant (Cochlear Nucleus CR120). In all cases, remote intraoperative device testing was performed by trained operating room staff. A comparison was made to the "gold standard" of manual testing by an experienced cochlear implant audiologist. Electrode position and absence of tip fold-over was confirmed using plain film x-ray. Automated remote reverse telemetry testing was successfully completed in all patients. Intraoperative x-ray demonstrated normal electrode position without tip fold-over. Average impedance values were significantly higher using standard testing versus CR120 remote testing (standard mean 10.7 kΩ, SD 1.2 vs. CR120 mean 7.5 kΩ, SD 0.7, p automated testing with regard to the presence of open or short circuits along the array. There were, however, two cases in which standard testing identified an open circuit, when CR120 testing showed the circuit to be closed. Neural responses were successfully obtained in all patients using both systems. There was no difference in basal electrode responses (standard mean 195.0 μV, SD 14.10 vs. CR120 194.5 μV, SD 14.23; p = 0.7814); however, more favorable (lower μV amplitude) results were obtained with the remote automated system in the apical 10 electrodes (standard 185.4 μV, SD 11.69 vs. CR

Automated Video Surveillance for the Study of Marine Mammal Behavior and Cognition

Directory of Open Access Journals (Sweden)

Jeremy Karnowski

2016-11-01

Full Text Available Systems for detecting and tracking social marine mammals, including dolphins, can provide data to help explain their social dynamics, predict their behavior, and measure the impact of human interference. Data collected from video surveillance methods can be consistently and systematically sampled for studies of behavior, and frame-by-frame analyses can uncover insights impossible to observe from real-time, freely occurring natural behavior. Advances in boat-based, aerial, and underwater recording platforms provide opportunities to document the behavior of marine mammals and create massive datasets. The use of human experts to detect, track, identify individuals, and recognize activity in video demands significant time and financial investment. This paper examines automated methods designed to analyze large video corpora containing marine mammals. While research is converging on best solutions for some automated tasks, particularly detection and classification, many research domains are ripe for exploration.

Dynamic adaptive policymaking for the sustainable city: The case of automated taxis

Directory of Open Access Journals (Sweden)

Warren E. Walker

2017-06-01

Full Text Available By 2050, about two-thirds of the world’s people are expected to live in urban areas. But, the economic viability and sustainability of city centers is threatened by problems related to transport, such as pollution, congestion, and parking. Much has been written about automated vehicles and demand responsive transport. The combination of these potentially disruptive developments could reduce these problems. However, implementation is held back by uncertainties, including public acceptance, liability, and privacy. So, their potential to reduce urban transport problems may not be fully realized. We propose an adaptive approach to implementation that takes some actions right away and creates a framework for future actions that allows for adaptations over time as knowledge about performance and acceptance of the new system (called ‘automated taxis’ accumulates and critical events for implementation take place. The adaptive approach is illustrated in the context of a hypothetical large city.

A Framework for the Systematic Collection of Open Source Intelligence

Energy Technology Data Exchange (ETDEWEB)

Pouchard, Line Catherine [ORNL; Trien, Joseph P [ORNL; Dobson, Jonathan D [ORNL

2009-01-01

Following legislative directions, the Intelligence Community has been mandated to make greater use of Open Source Intelligence (OSINT). Efforts are underway to increase the use of OSINT but there are many obstacles. One of these obstacles is the lack of tools helping to manage the volume of available data and ascertain its credibility. We propose a unique system for selecting, collecting and storing Open Source data from the Web and the Open Source Center. Some data management tasks are automated, document source is retained, and metadata containing geographical coordinates are added to the documents. Analysts are thus empowered to search, view, store, and analyze Web data within a single tool. We present ORCAT I and ORCAT II, two implementations of the system.

78 FR 53466 - Modification of Two National Customs Automation Program (NCAP) Tests Concerning Automated...

Science.gov (United States)

2013-08-29

... Customs Automation Program (NCAP) Tests Concerning Automated Commercial Environment (ACE) Document Image... National Customs Automation Program (NCAP) tests concerning document imaging, known as the Document Image... the National Customs Automation Program (NCAP) tests concerning document imaging, known as the...

A multifunctional multimaterial system for on-demand protein release.

Science.gov (United States)

Tuncaboylu, Deniz Ceylan; Friess, Fabian; Wischke, Christian; Lendlein, Andreas

2018-06-15

In order to provide best control of the regeneration process for each individual patient, the release of protein drugs administered during surgery may need to be timely adapted and/or delayed according to the progress of healing/regeneration. This study aims to establish a multifunctional implant system for a local on-demand release, which is applicable for various types of proteins. It was hypothesized that a tubular multimaterial container kit, which hosts the protein of interest as a solution or gel formulation, would enable on-demand release if equipped with the capacity of diameter reduction upon external stimulation. Using devices from poly(ɛ-caprolactone) networks, it could be demonstrated that a shape-memory effect activated by heat or NIR light enabled on-demand tube shrinkage. The decrease of diameter of these shape-memory tubes (SMT) allowed expelling the payload as demonstrated for several proteins including SDF-1α, a therapeutically relevant chemotactic protein, to achieve e.g. continuous release with a triggered add-on dosing (open tube) or an on-demand onset of bolus or sustained release (sealed tube). Considering the clinical relevance of protein factors in (stem) cell attraction to lesions and the progress in monitoring biomarkers in body fluids, such on-demand release systems may be further explored e.g. in heart, nerve, or bone regeneration in the future. Copyright © 2018. Published by Elsevier B.V.

Optimization of automation: III. Development of optimization method for determining automation rate in nuclear power plants

International Nuclear Information System (INIS)

Lee, Seung Min; Kim, Jong Hyun; Kim, Man Cheol; Seong, Poong Hyun

2016-01-01

Highlights: • We propose an appropriate automation rate that enables the best human performance. • We analyze the shortest working time considering Situation Awareness Recovery (SAR). • The optimized automation rate is estimated by integrating the automation and ostracism rate estimation methods. • The process to derive the optimized automation rate is demonstrated through case studies. - Abstract: Automation has been introduced in various industries, including the nuclear field, because it is commonly believed that automation promises greater efficiency, lower workloads, and fewer operator errors through reducing operator errors and enhancing operator and system performance. However, the excessive introduction of automation has deteriorated operator performance due to the side effects of automation, which are referred to as Out-of-the-Loop (OOTL), and this is critical issue that must be resolved. Thus, in order to determine the optimal level of automation introduction that assures the best human operator performance, a quantitative method of optimizing the automation is proposed in this paper. In order to propose the optimization method for determining appropriate automation levels that enable the best human performance, the automation rate and ostracism rate, which are estimation methods that quantitatively analyze the positive and negative effects of automation, respectively, are integrated. The integration was conducted in order to derive the shortest working time through considering the concept of situation awareness recovery (SAR), which states that the automation rate with the shortest working time assures the best human performance. The process to derive the optimized automation rate is demonstrated through an emergency operation scenario-based case study. In this case study, four types of procedures are assumed through redesigning the original emergency operating procedure according to the introduced automation and ostracism levels. Using the

World-wide distribution automation systems

International Nuclear Information System (INIS)

Devaney, T.M.

1994-01-01

A worldwide power distribution automation system is outlined. Distribution automation is defined and the status of utility automation is discussed. Other topics discussed include a distribution management system, substation feeder, and customer functions, potential benefits, automation costs, planning and engineering considerations, automation trends, databases, system operation, computer modeling of system, and distribution management systems

WIDAFELS flexible automation systems

International Nuclear Information System (INIS)

Shende, P.S.; Chander, K.P.; Ramadas, P.

1990-01-01

After discussing the various aspects of automation, some typical examples of various levels of automation are given. One of the examples is of automated production line for ceramic fuel pellets. (M.G.B.)

Automation in Clinical Microbiology

Science.gov (United States)

Ledeboer, Nathan A.

2013-01-01

Historically, the trend toward automation in clinical pathology laboratories has largely bypassed the clinical microbiology laboratory. In this article, we review the historical impediments to automation in the microbiology laboratory and offer insight into the reasons why we believe that we are on the cusp of a dramatic change that will sweep a wave of automation into clinical microbiology laboratories. We review the currently available specimen-processing instruments as well as the total laboratory automation solutions. Lastly, we outline the types of studies that will need to be performed to fully assess the benefits of automation in microbiology laboratories. PMID:23515547

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.

Virtual automation.

Science.gov (United States)

Casis, E; Garrido, A; Uranga, B; Vives, A; Zufiaurre, C

2001-01-01

Total laboratory automation (TLA) can be substituted in mid-size laboratories by a computer sample workflow control (virtual automation). Such a solution has been implemented in our laboratory using PSM, software developed in cooperation with Roche Diagnostics (Barcelona, Spain), to this purpose. This software is connected to the online analyzers and to the laboratory information system and is able to control and direct the samples working as an intermediate station. The only difference with TLA is the replacement of transport belts by personnel of the laboratory. The implementation of this virtual automation system has allowed us the achievement of the main advantages of TLA: workload increase (64%) with reduction in the cost per test (43%), significant reduction in the number of biochemistry primary tubes (from 8 to 2), less aliquoting (from 600 to 100 samples/day), automation of functional testing, drastic reduction of preanalytical errors (from 11.7 to 0.4% of the tubes) and better total response time for both inpatients (from up to 48 hours to up to 4 hours) and outpatients (from up to 10 days to up to 48 hours). As an additional advantage, virtual automation could be implemented without hardware investment and significant headcount reduction (15% in our lab).

Demand Response Advanced Controls Framework and Assessment of Enabling Technology Costs

Energy Technology Data Exchange (ETDEWEB)

Potter, Jennifer; Cappers, Peter

2017-08-28

The Demand Response Advanced Controls Framework and Assessment of Enabling Technology Costs research describe a variety of DR opportunities and the various bulk power system services they can provide. The bulk power system services are mapped to a generalized taxonomy of DR “service types”, which allows us to discuss DR opportunities and bulk power system services in fewer yet broader categories that share similar technological requirements which mainly drive DR enablement costs. The research presents a framework for the costs to automate DR and provides descriptions of the various elements that drive enablement costs. The report introduces the various DR enabling technologies and end-uses, identifies the various services that each can provide to the grid and provides the cost assessment for each enabling technology. In addition to a report, this research includes a Demand Response Advanced Controls Database and User Manual. They are intended to provide users with the data that underlies this research and instructions for how to use that database more effectively and efficiently.

Automated protocols for spaceborne sub-meter resolution "Big Data" products for Earth Science

Science.gov (United States)

Neigh, C. S. R.; Carroll, M.; Montesano, P.; Slayback, D. A.; Wooten, M.; Lyapustin, A.; Shean, D. E.; Alexandrov, O.; Macander, M. J.; Tucker, C. J.

2017-12-01

The volume of available remotely sensed data has grown exceeding Petabytes per year and the cost for data, storage systems and compute power have both dropped exponentially. This has opened the door for "Big Data" processing systems with high-end computing (HEC) such as the Google Earth Engine, NASA Earth Exchange (NEX), and NASA Center for Climate Simulation (NCCS). At the same time, commercial very high-resolution (VHR) satellites have grown into a constellation with global repeat coverage that can support existing NASA Earth observing missions with stereo and super-spectral capabilities. Through agreements with the National Geospatial-Intelligence Agency NASA-Goddard Space Flight Center is acquiring Petabytes of global sub-meter to 4 meter resolution imagery from WorldView-1,2,3 Quickbird-2, GeoEye-1 and IKONOS-2 satellites. These data are a valuable no-direct cost for the enhancement of Earth observation research that supports US government interests. We are currently developing automated protocols for generating VHR products to support NASA's Earth observing missions. These include two primary foci: 1) on demand VHR 1/2° ortho mosaics - process VHR to surface reflectance, orthorectify and co-register multi-temporal 2 m multispectral imagery compiled as user defined regional mosaics. This will provide an easy access dataset to investigate biodiversity, tree canopy closure, surface water fraction, and cropped area for smallholder agriculture; and 2) on demand VHR digital elevation models (DEMs) - process stereo VHR to extract VHR DEMs with the NASA Ames stereo pipeline. This will benefit Earth surface studies on the cryosphere (glacier mass balance, flow rates and snow depth), hydrology (lake/water body levels, landslides, subsidence) and biosphere (forest structure, canopy height/cover) among others. Recent examples of products used in NASA Earth Science projects will be provided. This HEC API could foster surmounting prior spatial-temporal limitations while

Automation of Test Cases for Web Applications : Automation of CRM Test Cases

OpenAIRE

Seyoum, Alazar

2012-01-01

The main theme of this project was to design a test automation framework for automating web related test cases. Automating test cases designed for testing a web interface provide a means of improving a software development process by shortening the testing phase in the software development life cycle. In this project an existing AutoTester framework and iMacros test automation tools were used. CRM Test Agent was developed to integrate AutoTester to iMacros and to enable the AutoTester,...

An inventory control project in a major Danish company using compound renewal demand models

DEFF Research Database (Denmark)

Larsen, Christian; Seiding, Claus Hoe; Teller, Christian

operation is highly automated. However, the procedures for estimating demands and the policies for the inventory control system that were in use at the beginning of the project did not fully match the sophisticated technological standard of the physical system. During the initial phase of the project...... We describe the development of a framework to compute the optimal inventory policy for a large spare-parts' distribution centre operation in the RA division of the Danfoss Group in Denmark. The RA division distributes spare parts worldwide for cooling and A/C systems. The warehouse logistics...

Automated TV based system for open field studies: Effects of methamphetamine

NARCIS (Netherlands)

Tanger, H.J.; Vanwersch, R.A.P.; Wolthuis, O.L.

1978-01-01

A method is described whereby open field behaviour of rats can be automatically registered using a TV camera, a video converter, an X-Y recorder and a papertape puncher. Use is made of the scanning properties of the TV camera to obtain the X and Y coordinates of the rat's position and to print this

An Automation Planning Primer.

Science.gov (United States)

Paynter, Marion

1988-01-01

This brief planning guide for library automation incorporates needs assessment and evaluation of options to meet those needs. A bibliography of materials on automation planning and software reviews, library software directories, and library automation journals is included. (CLB)

Reanalysis of 24 Nearby Open Clusters using Gaia data

Science.gov (United States)

Yen, Steffi X.; Reffert, Sabine; Röser, Siegfried; Schilbach, Elena; Kharchenko, Nina V.; Piskunov, Anatoly E.

2018-04-01

We have developed a fully automated cluster characterization pipeline, which simultaneously determines cluster membership and fits the fundamental cluster parameters: distance, reddening, and age. We present results for 24 established clusters and compare them to literature values. Given the large amount of stellar data for clusters available from Gaia DR2 in 2018, this pipeline will be beneficial to analyzing the parameters of open clusters in our Galaxy.

Automation in Immunohematology

Directory of Open Access Journals (Sweden)

Meenu Bajpai

2012-01-01

Full Text Available There have been rapid technological advances in blood banking in South Asian region over the past decade with an increasing emphasis on quality and safety of blood products. The conventional test tube technique has given way to newer techniques such as column agglutination technique, solid phase red cell adherence assay, and erythrocyte-magnetized technique. These new technologies are adaptable to automation and major manufacturers in this field have come up with semi and fully automated equipments for immunohematology tests in the blood bank. Automation improves the objectivity and reproducibility of tests. It reduces human errors in patient identification and transcription errors. Documentation and traceability of tests, reagents and processes and archiving of results is another major advantage of automation. Shifting from manual methods to automation is a major undertaking for any transfusion service to provide quality patient care with lesser turnaround time for their ever increasing workload. This article discusses the various issues involved in the process.

Inselect: Automating the Digitization of Natural History Collections.

Directory of Open Access Journals (Sweden)

Lawrence N Hudson

Full Text Available The world's natural history collections constitute an enormous evidence base for scientific research on the natural world. To facilitate these studies and improve access to collections, many organisations are embarking on major programmes of digitization. This requires automated approaches to mass-digitization that support rapid imaging of specimens and associated data capture, in order to process the tens of millions of specimens common to most natural history collections. In this paper we present Inselect-a modular, easy-to-use, cross-platform suite of open-source software tools that supports the semi-automated processing of specimen images generated by natural history digitization programmes. The software is made up of a Windows, Mac OS X, and Linux desktop application, together with command-line tools that are designed for unattended operation on batches of images. Blending image visualisation algorithms that automatically recognise specimens together with workflows to support post-processing tasks such as barcode reading, label transcription and metadata capture, Inselect fills a critical gap to increase the rate of specimen digitization.

Unified Brake Service by a Hierarchical Controller for Active Deceleration Control in an Electric and Automated Vehicle

Directory of Open Access Journals (Sweden)

Yuliang Nie

2017-12-01

Full Text Available Unified brake service is a universal service for generating certain brake force to meet the demand deceleration and is essential for an automated driving system. However, it is rather difficult to control the pressure in the wheel cylinders to reach the target deceleration of the automated vehicle, which is the key issue of the active deceleration control system (ADC. This paper proposes a hierarchical control method to actively control vehicle deceleration with active-brake actuators. In the upper hierarchical, the target pressure of wheel cylinders is obtained by dynamic equations of a pure electric vehicle. In the lower hierarchical, the solenoid valve instructions and the pump speed of hydraulic control unit (HCU are determined to satisfy the desired pressure with the feedback of measured wheel cylinder pressure by pressure sensors. Results of road experiments of a pure electric and automated vehicle indicate that the proposed method realizes the target deceleration accurately and efficiently.