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Sample records for bmt providing optimal

  1. Principles of Bone Marrow Transplantation (BMT): Providing Optimal Veterinary and Husbandry Care to Irradiated Mice in BMT Studies

    OpenAIRE

    Duran-Struuck, Raimon; Dysko, Robert C

    2009-01-01

    Bone marrow transplantation (BMT) is the treatment of choice for many leukemias, solid tumors, and metabolic diseases. The field of bone marrow research is highly dependent on in vivo experimentation, because in vitro techniques do not mimic these complicated in vivo systems. Therefore, understanding the medical and husbandry care needs of these transiently immunodeficient bone marrow recipient animals is crucial for researchers, veterinary and animal care personnel. Here we discuss the princ...

  2. Analisis Efisiensi Baitul Maal Wat Tamwil Dengan Pendekatan Two Stage Data Envelopment Analysis (Studi Kasus Kantor Cabang BMT MMU Dan BMT UGT Sidogiri

    Directory of Open Access Journals (Sweden)

    Muhammad Mahbubi Ali

    2014-03-01

    Full Text Available Penelitian ini bertujuan untuk mengukur tingkat efisiensi Baitul Maal Wat Tamwil (BMT dengan mengambil studi kasus BMT MMU dan BMT UGT Sidogiri Pasuruan tingkat cabang dengan total sampel 50 cabang. Metode yang digunakan dalam penelitian ini adalah Two Stage DEA. Tahap pertama mengukur tingkat efisiensi BMT MMU dan BMT UGT dengan menggunakan DEA. Tahap kedua menguji faktor-faktor internal dan eksternal, yang mempengaruhi tingkat efisiensi BMT MMU dan BMT UGT dengan menggunakan pendekatan Tobit. Hasil penghitungan DEA menunjukkan, efisiensi overall technical BMT MMU (0,84 dan BMT UGT (0,88 pada tahun 2008 masih kurang optimal. Penyebab utama inefisiensi untuk BMT MMU adalah penyaluran pembiayaan, sementara sumber utama inefisiensi BMT UGT adalah penghimpunan dana pihak ketiga yang kurang maksimal. Hasil pengolahan Tobit menunjukkan bahwa kekuatan modal dan ukuran BMT memiliki pengaruh positif secara signifikan terhadap efisiensi overall technical pada dua BMT. Sementara dari sisi eksternal, PDRB perkapita memiliki pengaruh negatif secara signifikan. Adapun pertumbuhan pengangguran, tingkat pendidikan, dan komitmen keberagamaan tidak berpengaruh secara signifikan.JEL Classification : G21, R15Keywords : Efisiensi, BMT, Two Stage DEA

  3. Planning for a Bone Marrow Transplant (BMT)

    Science.gov (United States)

    ... Favorites Del.icio.us Digg Facebook Google Bookmarks Planning for a Bone Marrow Transplant (BMT) If you' ... help you find answers to financial questions: See Planning for Transplant Costs . Contact a patient services coordinator ...

  4. Analysis Problem of Baitul Maal Wat Tamwil (BMT Operation in Pekanbaru Indonesia Using Analytical Network Process (ANP Approach

    Directory of Open Access Journals (Sweden)

    Hamzah

    2013-08-01

    Full Text Available BMT is a financial institution which is sought after by small entrepreneurs for financing their business operations. This institution provides finance to help small entrepreneurs who cannot access finance from the larger banking sector. In addition, the existence of BMTs is a blessing for the lower income group in society, keeping them away from illegal money lenders who burden them with much higher interest rates. Since its appearance in 1992, the BMT has been receiving positive responses from all sections of society in Indonesia. Many people take advantage of these opportunities which are available through the setting up of a BMT institution; however, many of them failed and ended up bankrupt. It is because they faced many problems in their operations. Therefore, this research selected BMT in Pekanbaru as a case study in order to analyze the problems faced by BMT whether these problems due to internal or external factors. In this regard, the study employs the method of Analytic Network Process (ANP. The data used are primary data obtained from interviews (depth interview with academicians, practitioners, and regulators, who have an understanding of the subject matter covered. This paper concluded that the internal problems of lacking quality of Human resource become a major problem to be resolved through training and education. While externally, the major problem that must be immediately to resolve is the absence of specific regulation governing BMT.

  5. The Accounting and Reporting Challenges of Islamic Saving and Loan Cooperatives (BMT) in Indonesia

    OpenAIRE

    Ersa Tri Wahyuni

    2011-01-01

    The rapid development of BMT in Indonesia is not followed by the development of reporting regulations and accounting standards. The precise definite legal status of BMT is somehow in doubt and here is no accounting standard specially made for BMT. The role of BMT in microfinance institution is not small. The number of BMT has risen from 300 at the end of 1995, to 1501 at the end of 1997, and to 2470 BMT in 1998 (Timberg, 1999). While the definite number of BMT is hard to determine, currently ...

  6. Study on blocking the leukemia immune escape after BMT by Fas-Fas ligand pathway

    Institute of Scientific and Technical Information of China (English)

    胡中波; 邹萍; 李爱香; 张友山; 王良利; 刘凌波

    2004-01-01

    , 100% in Group B (6/6) and D (16/16), 12.5% (2/16) in Group C and 6.25% (1/16) in Group E respectively. It is demonstrated that, in contrast with the control (Group EGFP), survival rate was significantly increased in the sFas Group (P<0.01). Conclusions The transfer of sFas gene by adenovirus changed the prognosis state of leukemia/lymphoma mice after auto-BMT. The transduction of sFas might block the effect of the immune escape of EL4 cells through FasL. These results could thus provide a new direction to find a way to treat the leukemia and its recurrence after BMT.

  7. Biomimetic Signal Processing Using the Biosonar Measurement Tool (BMT)

    Science.gov (United States)

    Abawi, Ahmad T.; Hursky, Paul; Porter, Michael B.; Tiemann, Chris; Martin, Stephen

    2004-11-01

    In this paper data recorded on the Biosonar Measurement Tool (BMT) during a target echolocation experiment are used to 1) find ways to separate target echoes from clutter echoes, 2) analyze target returns and 3) find features in target returns that distinguish them from clutter returns. The BMT is an instrumentation package used in dolphin echolocation experiments developed at SPAWARSYSCEN. It can be held by the dolphin using a bite-plate during echolocation experiments and records the movement and echolocation strategy of a target-hunting dolphin without interfering with its motion through the search field. The BMT was developed to record a variety of data from a free-swimming dolphin engaged in a bottom target detection task. These data include the three dimensional location of the dolphin, including its heading, pitch roll and velocity as well as passive acoustic data recorded on three channels. The outgoing dolphin click is recorded on one channel and the resulting echoes are recorded on the two remaining channels. For each outgoing click the BMT records a large number of echoes that come from the entire ensonified field. Given the large number of transmitted clicks and the returned echoes, it is almost impossible to find a target return from the recorded data on the BMT. As a means of separating target echoes from those of clutter, an echo-mapping tool was developed. This tool produces an echomap on which echoes from targets (and other regular objects such as surface buoys, the side of a boat and so on) stack together as tracks, while echoes from clutter are scattered. Once these tracks are identified, the retuned echoes can easily be extracted for further analysis.

  8. Sustainability of BMT financing for Developing Micro-enterprises

    OpenAIRE

    Mislan Cokro, Widiyanto; Ismail, Abdul Ghafar

    2008-01-01

    The aim of this study is to analyze the sustainability of Islamic micro-financing for developing micro-enterprises (ME). We use the sample of Baitul Mal Wat Tamwil (BMT), as Islamic microfinance institution in Indonesia. Two approaches will be used to explore the sustainability, i.e., technical efficiency (using data envelopment analysis (DEA) and level of outreach. The results indicate that: first, generally the efficiency of BMTs is relatively low. Scale efficiency also indicates that BMTs ...

  9. BMT DAN DEMOKRATISASI EKONOMI: MEMBUMIKAN EKONOMI SYARI’AH DI INDONESIA

    OpenAIRE

    Lukman Al-Hakim

    2015-01-01

    In Indonesia, the Islamic economic system has been popular recently since the Bank Muamalah Indonesia was founded and followed by establishment of other shariah financial institutions and businesses such as Bayt al-Mâl wa al-Tamwîl (BMT). BMT, a micro shariah economic institution, is a choice in community based economic development. BMT is significant because the wheel of Indonesian economy is moved by communities from up to down. Populist economy means muslim community”s economy because the ...

  10. Analisis Faktor-Faktor Yang Mempengaruhi Masyarakat (Nasabah) Melakukan Qardhul Hasan di BMT Waashil Medan

    OpenAIRE

    Astuty, Endang Tri

    2014-01-01

    This research is related with factors that influence people (customer) to do Qardhul Hasan in BMT Waashil Medan. This research has purpose to get understanding of which factors that influence customer to do Qardhul Hasan financing in BMT Waashil. Qardhul Hasan financing has devided into productive loan and consumptive loan that used as financial capital bussines or others. This reasearch has taken sample of 40 customer who have got Qardhul Hasan financing of BMT Waashil Medan. This reasearch ...

  11. Insurance Premium Optimization: Perspective of Insurance Seeker and Insurance Provider

    Directory of Open Access Journals (Sweden)

    Nidhi Arora

    2014-03-01

    Full Text Available The paper proposes a utilitarian and newfangled design of life insurance premium payment. Insurance companies provide insurance to the policy holders and in turn the policy holders have to pay insurance premium periodically. In this paper, we study the important factors to be considered at the time of selecting the term of premium payment of insurance. The intention is to extend this study to a method which can machinate and assist users in deciding the term and amount of premium payment. Our aim here is twin-fold; one, to evoke a novel way to policy holder to decide the least premiums to be paid and second, to devise a manner for insurance provider to collect maximum premiums. With this twofold aim, we propose a hybrid soft computing optimization model using Neuro-Fuzzy approach and Particle Swarm Optimization.

  12. Optimization of a Virtual Power Plant to Provide Frequency Support.

    Energy Technology Data Exchange (ETDEWEB)

    Neely, Jason C. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Johnson, Jay [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Gonzalez, Sigifredo [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Lave, Matthew Samuel [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Delhotal, Jarod James [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

    2015-12-01

    Increasing the penetration of distributed renewable sources, including photovoltaic (PV) sources, poses technical challenges for grid management. The grid has been optimized over decades to rely upon large centralized power plants with well-established feedback controls, but now non-dispatchable, renewable sources are displacing these controllable generators. This one-year study was funded by the Department of Energy (DOE) SunShot program and is intended to better utilize those variable resources by providing electric utilities with the tools to implement frequency regulation and primary frequency reserves using aggregated renewable resources, known as a virtual power plant. The goal is to eventually enable the integration of 100s of Gigawatts into US power systems.

  13. Optimalisasi Intermediasi dan Pembiayaan BMT Menuju Pemberdayaan Ekonomi Masyarakat

    Directory of Open Access Journals (Sweden)

    Fahrur Ulum

    2015-09-01

    Full Text Available This article seeks to discuss the economic empowerment of society through the optimalization of BMT’s function of intermediating and financing. Using a descriptive and qualitative approach, this article reveals that the success of economic empowerment should be supported by strategy, tactics and stepping. The program should also be implemented through segmentation and training of clients, providing human resources that understand the vision and mission of empowerment, optimizing BMT’s function of intermediating, and providing a coordinated tool of saving. Intermediation is conducted through developing economic potentials of Muslim community (ummah, improving the quality of human resources, mobilizing societal resources, bridging the relation between the rich and the poor and between the fund owners and users, coaching and balancing in terms of financial support.

  14. Penyelesaian Sengketa Akad Pembiayaan Lembaga Keuangan Mikro (Studi Sengketa Di Baitul Maal Wat Tamwil (BMT) Kota Medan)

    OpenAIRE

    Harahap, Rahmad Hidayat

    2011-01-01

    One of the non-bank Islamic finance institutions is Baitul Mal wat Tamwil (BMT) which is oriented to the economic activities of small business based on the principles of Syari’ah and cooperatives. Jurisdictionally, the BMT is regulated through the law of cooperatives, therefore, the work guidelines, health assessment, statutes/bylaws of BMT are referred to Law No.25/1992 on Cooperatives. The data available in the North Sumatera Small-scale Business and Business Incubation Centre shows tha...

  15. Chronic GvHD decreases antiviral immune responses in allogeneic BMT

    OpenAIRE

    Hossain, Mohammad S.; Roback, John D.; Pollack, Brian P.; Jaye, David L.; Langston, Amelia; Waller, Edmund K.

    2007-01-01

    Chronic graft-versus-host disease (cGvHD) is associated with functional immunodeficiency and an increased risk of opportunistic infections in allogeneic bone marrow transplantation (BMT). We used a parent to F1 model of allogeneic BMT to test the hypothesis that cGvHD leads to impaired antigen-specific antiviral immunity and compared BM transplant recipients with cGvHD to control groups of allogeneic BM transplant recipients without GvHD. Mice with and without cGvHD received a nonlethal dose ...

  16. The Additive Risk Model for Estimation of Effect of Haplotype Match in BMT Studies

    DEFF Research Database (Denmark)

    Scheike, Thomas; Martinussen, T; Zhang, MJ

    2011-01-01

    In this article we consider a problem from bone marrow transplant (BMT) studies where there is interest on assessing the effect of haplotype match for donor and patient on the overall survival. The BMT study we consider is based on donors and patients that are genotype matched, and this therefore...... be developed using product-integration theory. Small sample properties are investigated using simulations in a setting that mimics the motivating haplomatch problem....... leads to a missing data problem. We show how Aalen's additive risk model can be applied in this setting with the benefit that the time-varying haplomatch effect can be easily studied. This problem has not been considered before, and the standard approach where one would use the expected-maximization (EM...

  17. Thomas-BMT equation generalized to electric dipole moments and field gradients

    OpenAIRE

    Metodiev, Eric M.

    2015-01-01

    An expression is presented for the relativistic equations of motion, including field gradients, of a particle and its spin with electric and magnetic dipole moments aligned along the spin axis. An electromagnetic duality transformation is used to generalize a Thomas-BMT equation with gradient terms. Corrections to particle dynamics in storage rings for precision $(g-2)$ and electric dipole moment measurements are calculated, and applications to precision particle tracking programs are conside...

  18. GLXP BMT: Lunar Lander Mission Definition & Opportunistic Science during Nominal Operations

    Science.gov (United States)

    Colmenarejo, P.; Mammarella, M.; Zaballa, M.; Claramunt, X.; García, C.; Martínez, A.

    2012-09-01

    The GLXP BMT "MoonRaise" mission is the Barcelona Moon Team Lunar Lander and Lunar exploration mission within the GLXP initiative. GMV is the mission technical leader and is in charge of the primary mission analysis that will later derive into the different mission subsystems and elements requirements and specifications for design and manufacturing. The classical scientific missions pivot around the scientific requirement and most of the mission elements design have the final purpose of fulfilling with the scientific requirements. This has the advantage of producing a dedicated mission to cope with all the scientific objectives (design-toperformance). The main drawback being the usually high mission complexity and cost. The GLXP BMT "MoonRaise" mission is a low cost mission and, thus, design-to-cost approach is used instead. Even if the "MoonRaise" mission will have some dedicated scientific objectives and dedicated resources, the maximization of the scientific content of the mission is a challenge in itself, and emphasis has to be placed in the imagination and achievement of opportunistic science while in nominal (nonscientific) operational phases. This paper presents the GLXP BMT "MoonRaise" mission architecture and mission approach and will identify potential opportunistic science targets with minimum impact on the Lunar Lander module and Rover module systems and at quasi-zero cost. The first section/s will be devoted to analyse the mission aspects, while the later section/s will be devoted to identification of interesting opportunistic science.

  19. Better Movers and Thinkers (BMT): An Exploratory Study of an Innovative Approach to Physical Education.

    Science.gov (United States)

    Dalziell, Andrew; Boyle, James; Mutrie, Nanette

    2015-11-01

    Recent research has confirmed a positive relationship between levels of physical activity and academic achievement. Some of these studies have been informed by neurological models of Executive Functioning (EF). There is a general consensus within the literature that the three core EF skills are; working memory, inhibitory control and cognitive flexibility. The development of these core EF skills has been linked with learning and academic achievement and is an essential component in the delivery of PE using a new and innovative approach called 'Better Movers and Thinkers (BMT).' A mixed methods design was used to investigate the effectiveness and feasibility of a 16-week intervention programme using BMT where 46 children were tested on two separate occasions for coordination and balance control, academic skills, working memory and non-verbal reasoning skills. One school acted as the control condition (21 students, aged 9 - 10 years) and another school acted as the intervention condition (25 students, aged 9 - 10 years). Quantitative data revealed an effect between pre and post-test conditions in the areas of phonological skills (p = .042), segmentation skills (p = .014) and working memory (p = .040) in favour of the intervention condition. Further analysis identified a gender-interaction with male students in the intervention condition making significant gains in phonological skills (p = .005) segmentation skills (p = .014) and spelling (p = .007) compared to boys in the control condition. Analysis of qualitative data from a sample of students from the intervention condition and their class teacher indicated good acceptability of BMT as an alternative approach to PE. PMID:27247688

  20. Better Movers and Thinkers (BMT: An Exploratory Study of an Innovative Approach to Physical Education

    Directory of Open Access Journals (Sweden)

    Andrew Dalziell

    2015-11-01

    Full Text Available Recent research has confirmed a positive relationship between levels of physical activity and academic achievement. Some of these studies have been informed by neurological models of Executive Functioning (EF. There is a general consensus within the literature that the three core EF skills are; working memory, inhibitory control and cognitive flexibility. The development of these core EF skills has been linked with learning and academic achievement and is an essential component in the delivery of PE using a new and innovative approach called ‘Better Movers and Thinkers (BMT.’ A mixed methods design was used to investigate the effectiveness and feasibility of a 16-week intervention programme using BMT where 46 children were tested on two separate occasions for coordination and balance control, academic skills, working memory and non-verbal reasoning skills. One school acted as the control condition (21 students, aged 9 – 10 years and another school acted as the intervention condition (25 students, aged 9 – 10 years. Quantitative data revealed an effect between pre and post-test conditions in the areas of phonological skills (p = .042, segmentation skills (p = .014 and working memory (p = .040 in favour of the intervention condition. Further analysis identified a gender-interaction with male students in the intervention condition making significant gains in phonological skills (p = .005 segmentation skills (p = .014 and spelling (p = .007 compared to boys in the control condition. Analysis of qualitative data from a sample of students from the intervention condition and their class teacher indicated good acceptability of BMT as an alternative approach to PE.

  1. PENGARUH PENDAPATAN BAGI HASIL MUDHARABAH, MUSYARAKAH DAN MURABAHAH TERHADAP BAGI HASIL TABUNGAN (STUDI PADA KSU BMT TAMAN SURGA JAKARTA

    Directory of Open Access Journals (Sweden)

    Zaenudin Zaenudin

    2015-08-01

    Full Text Available This study aims to see whether the effect mudharabah and musyarakah income share, and also murabahah margin income at mudhabahah saving deposit product at BMT Taman Surga Jakarta. The method analysis that used in this study is linier regression, with each variabel tested both concurrently (simultaneously or separately (partial. The result from this study is there is an positive and significat effect of mudharabah revenue sharing, musyarakah revenue sharing, and murabahah margin whether simultaneously and partial to mudharabah saving deposit share. BMT is expected to increase revenue for the results to further attract customers.DOI: 10.15408/etk.v13i1.1879

  2. Multiobjective fuel management optimization for self-fuel-providing LMFBR using genetic algorithms

    Energy Technology Data Exchange (ETDEWEB)

    Toshinsky, Vladimir G.; Sekimoto, Hiroshi [Research Laboratory for Nuclear Reactors, Tokyo Institute of Technology, O-Okayama, Meguro-ku, Tokyo (Japan); Toshinsky, Georgy I. [State Scientific Center, Institute of Physics and Power Engineering, Obninsk (Russian Federation)

    1999-06-01

    One of the conceptual options under consideration for the future of nuclear power is the long-term development without fuel reprocessing. This concept is based on a reactor that requires no plutonium reprocessing for itself, and provides high efficiency of natural uranium utilization, so called Self-Fuel-Providing LMFBR (SFPR). Several design considerations were previously given to this reactor type which, however, suffer from some problems connected with insufficient power flattening, large reactivity swings during burnup cycles, and peak fuel burnup being significantly higher than recent technology experience, which is about 18% for U-10 wt%Zr metallic fuel to be considered. Yet, the mentioned core parameters demonstrate high sensitivity to the fuel management strategy selected for the reactor. Therefore, the aim of this study is to develop a practical tool for the improvement of the core characteristics by fuel management optimization, which is based on advanced optimization techniques such as Genetic Algorithms (GA). The calculation results obtained by a simplified reactor model can serve as estimates of achievable values for mentioned core parameters, which are necessary to make decisions at the preliminary optimization stage.

  3. DECOVALEX III/BENCHPAR PROJECTS. Evaluation of the Impact of Thermal-Hydro-Mechanical Couplings in Bentonite and Near-Field Rock Barriers on a Nuclear Waste Repository in a Sparsely Fractured Hard Rock. Report of BMT1C/WP2

    Energy Technology Data Exchange (ETDEWEB)

    Jing, L. [Royal Inst. of Technology, Stockholm (Sweden). Engineering Geology; Nguyen, T.S. [Canadian Nuclear Safety Commission, Ottawa, ON (Canada)] (eds.)

    2005-02-15

    temperature can be predicted accurately without consideration of coupling to hydraulic and mechanical processes. It is also clear that mechanical behaviour, that is, evolution of stress in the buffer-rock system, cannot be appropriately predicted without consideration of temperature effects and effects of fluid pressure. It is not clear at this point whether the hydraulic behaviour (for example resaturation of the buffer and radioactive nuclide transport) can be significantly impacted by T and M processes. For the parameter set adopted in this analysis, the resaturation time is slightly impacted by the effect of temperature whereas the mechanically induced changes in permeability does not significantly impact the resaturation process. The general results of the impact of various THM couplings for sparsely fractured rocks conducted in this paper are in line with those of a homogenous low permeability rock defined as in BMT1B. The main difference is that the hydraulic conducting fractures provide an additional water supply that prevents desaturation of the rock and accelerates the buffer resaturation process.

  4. Optimal utilization of outages. The tasks of the OEM and/or service provider

    Energy Technology Data Exchange (ETDEWEB)

    Jakobs, Norbert [Siemens AG, Nuclear Power Generation Division, D-91050 Erlangen (Germany); Grauf, Eberhard [Gemeinschaftskernkraftwerk Neckar GmbH, im Steinbruch, D-74382 Neckarwestheim (Germany)

    1998-07-01

    The deregulation of Europe's power market on January 1, 1999 will force many electric utilities and especially nuclear power plant operators to introduce extensive cost-cutting measures in order that they can hold their own in the new competitive environment. Existing plants basically have three potential ways of reducing their power generating costs: by increasing availability, reducing fuel costs and cutting back operating costs. Optimizing plant outages provides considerable potential for raising plant availability but can also lower operating costs by reducing expenditure on maintenance. In order to optimize an outage in terms of performance time and cost, there are a number of starting points based on certain key factors: organization, planning, logistics, performance monitoring, plant and equipment enhancements as well as personnel motivation. To reach this goal it is necessary for the original equipment manufacturer (OEM) and/or service provider to be involved in these activities to a much greater extent than before and for a closer form of partnership to be established with the consumer. For it is only within a team having a common set of goals that the successes of the past have been able to be achieved and new tasks can be efficiently handled in the future. (author)

  5. Determinants of the Establishment of Islamic Micro Finance Institutions: The Case of Baitul Maal wa Tamwil (BMT) in Indonesia

    OpenAIRE

    Alfiah Hasanah; Arief Anshory Yusuf

    2013-01-01

    As a country with the largest number of muslim population in the world, Islamic micro finance institutions have a large potential to playa greater role in the country's aspiration to poverty reduction. However, the determinants of theestablishment of Islamic Micro Finance Institutions, particularly in Indonesia, has not been extensively studied. This paper attempts to explore the determinants of the establishment ofBaitul Maal wa Tamwil (BMT), one of the main Islamic microfinance institutions...

  6. Borreliacidal activity of Borrelia metal transporter A (BmtA binding small molecules by manganese transport inhibition

    Directory of Open Access Journals (Sweden)

    Wagh D

    2015-02-01

    Full Text Available Dhananjay Wagh,* Venkata Raveendra Pothineni,* Mohammed Inayathullah, Song Liu, Kwang-Min Kim, Jayakumar Rajadas Biomaterials and Advanced Drug Delivery Laboratory, Stanford Cardiovascular Pharmacology Division, Cardiovascular Institute, Stanford University School of Medicine, Palo Alto, CA, USA *These authors contributed equally to this work  Abstract: Borrelia burgdorferi, the causative agent of Lyme disease, utilizes manganese (Mn for its various metabolic needs. We hypothesized that blocking Mn transporter could be a possible approach to inhibit metabolic activity of this pathogen and eliminate the infection. We used a combination of in silico protein structure prediction together with molecular docking to target the Borrelia metal transporter A (BmtA, a single known Mn transporter in Borrelia and screened libraries of FDA approved compounds that could potentially bind to the predicted BmtA structure with high affinity. Tricyclic antihistamines such as loratadine, desloratadine, and 3-hydroxydesloratadine as well as yohimbine and tadalafil demonstrated a tight binding to the in silico folded BmtA transporter. We, then, tested borreliacidal activity and dose response of the shortlisted compounds from this screen using a series of in vitro assays. Amongst the probed compounds, desloratadine exhibited potent borreliacidal activity in vitro at and above 78 µg/mL (250 µM. Borrelia treated with lethal doses of desloratadine exhibited a significant loss of intracellular Mn specifically and a severe structural damage to the bacterial cell wall. Our results support the possibility of developing a novel, targeted therapy to treat Lyme disease by targeting specific metabolic needs of Borrelia.  Keywords: Lyme disease, BmtA, Borrelia burgdorferi, desloratadine, Bac Titer-Glo assay

  7. Objectively Optimized Observation Direction System Providing Situational Awareness for a Sensor Web

    Science.gov (United States)

    Aulov, O.; Lary, D. J.

    2010-12-01

    There is great utility in having a flexible and automated objective observation direction system for the decadal survey missions and beyond. Such a system allows us to optimize the observations made by suite of sensors to address specific goals from long term monitoring to rapid response. We have developed such a prototype using a network of communicating software elements to control a heterogeneous network of sensor systems, which can have multiple modes and flexible viewing geometries. Our system makes sensor systems intelligent and situationally aware. Together they form a sensor web of multiple sensors working together and capable of automated target selection, i.e. the sensors “know” where they are, what they are able to observe, what targets and with what priorities they should observe. This system is implemented in three components. The first component is a Sensor Web simulator. The Sensor Web simulator describes the capabilities and locations of each sensor as a function of time, whether they are orbital, sub-orbital, or ground based. The simulator has been implemented using AGIs Satellite Tool Kit (STK). STK makes it easy to analyze and visualize optimal solutions for complex space scenarios, and perform complex analysis of land, sea, air, space assets, and shares results in one integrated solution. The second component is target scheduler that was implemented with STK Scheduler. STK Scheduler is powered by a scheduling engine that finds better solutions in a shorter amount of time than traditional heuristic algorithms. The global search algorithm within this engine is based on neural network technology that is capable of finding solutions to larger and more complex problems and maximizing the value of limited resources. The third component is a modeling and data assimilation system. It provides situational awareness by supplying the time evolution of uncertainty and information content metrics that are used to tell us what we need to observe and the

  8. Pembuatan Strategic Dashboard untuk Mengidentifikasi dan Mengukur Potensi Tingkat Kesehatan Lembaga Keuangan Syariah Baitul Mal Wat Tamwil (BMT dengan Metode PEARLS Studi Kasus APEX

    Directory of Open Access Journals (Sweden)

    Jeanny Mareta Daud

    2012-09-01

    Full Text Available BMT (Baitul Mal Wat Tamwil tidak diakui sebagai non-bank lembaga keuangan, pada prinsipnya, lembaga BMT harus berfungsi sebagai lembaga intermediasi yang mengelola dana dari, untuk dan oleh masyarakat. BMT mencakup konsep pembiayaan kredit keuangan, jasa, asuransi simpananserta bagi masyarakat miskin dalam kegiatan ekonomi dan Pemerintah subsisten. Idealnya dengan mengintegrasikan konsep fungsi sosial, fungsi bisnis dalam satu wadah telah didirikan lembaga-lembaga penegakan hukum di lembaga-lembaga keuangan mikro syariah. APEX adalah lapis kedua (kedua lembaga tier atau organisasi yang mendistribusikan dana (baik dari hibah, pinjaman atau jaminan yang berperan untuk melayani anggota melalui sistem Informasi dan Komunikasi (TIK yang terintegrasi dalam lingkup nasional. APEX menjadi permukiman dan badan hukum akan mengetahui dan menganalisis kesehatan setiap anggota BMT. Pada dasarnya kesehatan penilaian diciptakan oleh World Council of serikat kredit (WOCCU adalah Mutiara (Perlindungan, Efektif, Aset, Tingkat pengembalian dan biaya, Likuiditas dan Tanda pertumbuhan. Hasil telah dilakukan dengan pembuatan aplikasi PEARLS dan pembuatan Dashboard PEARLS memudahkan pihak Executive untuk mengidentifikasi dan mengukur potensi tingkat kesehatan LKMS BMT secara strategis dan efektif dengan  menggunkanan metode PEARLS.

  9. Optimized green operation of LTE networks in the presence of multiple electricity providers

    KAUST Repository

    Ghazzai, Hakim

    2012-12-01

    Energy efficiency aspects in cellular networks can significantly contribute to the reduction of greenhouse gas emissions and help to save the environment. The base station (BS) sleeping strategy has become a well-known technique to achieve energy savings by switching off redundant BSs mainly for lightly loaded networks. Besides, introducing renewable energies as alternative power sources becomes a real challenge to network operators. In this paper, we propose a method that reduces the energy consumption of BSs by not only shutting down underutilized BSs but also by optimizing the amounts of energy procured from different retailers (Renewable energy and electricity retailers). We formulate an optimization problem that leads to the maximization of the profit of a Long-Term Evolution (LTE) cellular operator, and at the same time to the minimization of CO2 emissions in green wireless cellular networks without affecting the desired Quality of Service. © 2012 IEEE.

  10. Better movers and thinkers (BMT): A quasi-experimental study into the impact of physical education on children's cognition-A study protocol.

    Science.gov (United States)

    Dalziell, Andrew; Boyle, James; Mutrie, Nanette

    2015-01-01

    This study will extend on a pilot study and will evaluate the impact of a novel approach to PE, Better Movers and Thinkers (BMT), on students' cognition, physical activity habits, and gross motor coordination (GMC). The study will involve six mainstream state schools with students aged 9-11 years. Three schools will be allocated as the intervention condition and three as the control condition. The design of the study is a 16-week intervention with pre-, post- and 6 month follow-up measurements taken using the 'Cognitive Assessment System (CAS)' GMC tests, and the 'Physical Activity Habits Questionnaire for Children (PAQ-C).' Qualitative data will be gathered using student focus groups and class teacher interviews in each of the six schools. ANCOVA will be used to evaluate any effect of intervention comparing pre-test scores with post-test scores and then pre-test scores with 6 month follow-up scores. Qualitative data will be analysed through an iterative process using grounded theory. This protocol provides the details of the rationale and design of the study and details of the intervention, outcome measures, and the recruitment process. The study will address gaps within current research by evaluating if a change of approach in the delivery of PE within schools has an effect on children's cognition, PA habits, and GMC within a Scottish setting. PMID:26844172

  11. Better movers and thinkers (BMT): A quasi-experimental study into the impact of physical education on children's cognition—A study protocol

    Science.gov (United States)

    Dalziell, Andrew; Boyle, James; Mutrie, Nanette

    2015-01-01

    This study will extend on a pilot study and will evaluate the impact of a novel approach to PE, Better Movers and Thinkers (BMT), on students' cognition, physical activity habits, and gross motor coordination (GMC). The study will involve six mainstream state schools with students aged 9–11 years. Three schools will be allocated as the intervention condition and three as the control condition. The design of the study is a 16-week intervention with pre-, post- and 6 month follow-up measurements taken using the ‘Cognitive Assessment System (CAS)’ GMC tests, and the ‘Physical Activity Habits Questionnaire for Children (PAQ-C).’ Qualitative data will be gathered using student focus groups and class teacher interviews in each of the six schools. ANCOVA will be used to evaluate any effect of intervention comparing pre-test scores with post-test scores and then pre-test scores with 6 month follow-up scores. Qualitative data will be analysed through an iterative process using grounded theory. This protocol provides the details of the rationale and design of the study and details of the intervention, outcome measures, and the recruitment process. The study will address gaps within current research by evaluating if a change of approach in the delivery of PE within schools has an effect on children's cognition, PA habits, and GMC within a Scottish setting. PMID:26844172

  12. "You're never really off time": Healthcare providers' interpretations of optimal timing for HPV vaccination.

    Science.gov (United States)

    Henrikson, Nora B; Tuzzio, Leah; Gilkey, Melissa B; McRee, Annie-Laurie

    2016-12-01

    Healthcare providers have a strong influence on human papillomavirus (HPV) vaccination decisions, yet they often fail to recommend the vaccine to the 11- and 12-year-olds who are targeted by practice guidelines. We sought to understand how providers interpret and value age-based guidelines. We conducted a secondary analysis of data from two qualitative studies of healthcare providers' HPV vaccination attitudes and practices. Participants were physicians, nurse practitioners, and physician assistants in Minnesota (n = 27) and in Washington (n = 17) interviewed in 2012 and 2014 respectively. Verbatim transcripts from each study were analyzed independently using content analysis, and collective findings were then jointly analyzed. The research team worked via consensus to derive codes and describe representative themes. A high proportion of providers reported either a lack of concern about HPV vaccine completion, or concern beginning several years past the recommended target age. Many providers perceived a gradient of HPV vaccination timeliness ranging from age 12 to 26. Instead of age-based recommendations, providers timed recommendations based on perceptions of access to care and patient risk. They often offered "gentle" recommendations and deferred vaccination discussions as a tool to building trust with families. Interventions aimed at helping providers deliver effective recommendations for timely HPV vaccination are needed. Our findings suggest that changing the norm of provider culture to one in which "catch-up" schedules are seen as a suboptimal way to achieve vaccine uptake may be an important goal. PMID:27413667

  13. Incentives, Optimality, and Publicly Provided Goods: The Case of Mental Health Services

    OpenAIRE

    Richard Frank; Martin Gaynor

    1991-01-01

    In this paper we investigate the incentives present in intergovernmental transfers for public mental health care. This represents an important issue due to the large portion of mental health care that is provided by local governments, the central role of states in financing care via intergovernmental transfers, and recent innovations adopted by some states altering the traditional terms of these transfers. Using a relatively simple model we show that when a state government provides both fina...

  14. Dispatch of distributed energy resources to provide energy and reserve in smart grids using a particle swarm optimization approach

    DEFF Research Database (Denmark)

    Faria, Pedro; Soares, Tiago; Pinto, Tiago;

    2013-01-01

    grid operation. Computational intelligence methods can be used to give a suitable solution for the resources scheduling problem considering the time constraints. This paper proposes a methodology for a joint dispatch of demand response and distributed generation to provide energy and reserve...... by a virtual power player that operates a distribution network. The optimal schedule minimizes the operation costs and it is obtained using a particle swarm optimization approach, which is compared with a deterministic approach used as reference methodology. The proposed method is applied to a 33-bus...

  15. Optimizing the Use of Storage Systems Provided by Cloud Computing Environments

    Science.gov (United States)

    Gallagher, J. H.; Potter, N.; Byrne, D. A.; Ogata, J.; Relph, J.

    2013-12-01

    Cloud computing systems present a set of features that include familiar computing resources (albeit augmented to support dynamic scaling of processing power) bundled with a mix of conventional and unconventional storage systems. The linux base on which many Cloud environments (e.g., Amazon) are based make it tempting to assume that any Unix software will run efficiently in this environment efficiently without change. OPeNDAP and NODC collaborated on a short project to explore how the S3 and Glacier storage systems provided by the Amazon Cloud Computing infrastructure could be used with a data server developed primarily to access data stored in a traditional Unix file system. Our work used the Amazon cloud system, but we strived for designs that could be adapted easily to other systems like OpenStack. Lastly, we evaluated different architectures from a computer security perspective. We found that there are considerable issues associated with treating S3 as if it is a traditional file system, even though doing so is conceptually simple. These issues include performance penalties because using a software tool that emulates a traditional file system to store data in S3 performs poorly when compared to a storing data directly in S3. We also found there are important benefits beyond performance to ensuring that data written to S3 can directly accessed without relying on a specific software tool. To provide a hierarchical organization to the data stored in S3, we wrote 'catalog' files, using XML. These catalog files map discrete files to S3 access keys. Like a traditional file system's directories, the catalogs can also contain references to other catalogs, providing a simple but effective hierarchy overlaid on top of S3's flat storage space. An added benefit to these catalogs is that they can be viewed in a web browser; our storage scheme provides both efficient access for the data server and access via a web browser. We also looked at the Glacier storage system and

  16. Pulmonary rehabilitation and COPD: providing patients a good environment for optimizing therapy.

    Science.gov (United States)

    Corhay, Jean-Louis; Dang, Delphine Nguyen; Van Cauwenberge, Hélène; Louis, Renaud

    2014-01-01

    Chronic obstructive pulmonary disease (COPD) is an obstructive and progressive airway disease associated with an important reduction in daily physical activity and psychological problems that contribute to the patient's disability and poor health-related quality of life (HRQoL). Nowadays, pulmonary rehabilitation (PR) plays an essential role in the management of symptomatic patients with COPD, by breaking the vicious circle of dyspnea-decreased activity-deconditioning-isolation. Indeed the main benefits of comprehensive PR programs for patients with COPD include a decrease in symptoms (dyspnea and fatigue), improvements in exercise tolerance and HRQoL, reduction of health care utilization (particularly bed-days), as well as an increase in physical activity. Several randomized studies and meta-analyses greatly established the benefits of PR, which additionally, is recommended in a number of influential guidelines. This review aimed to highlight the impact of PR on COPD patients, focusing on the clinical usefulness of PR, which provides patients a good support for change. PMID:24368884

  17. Pulmonary rehabilitation and COPD: providing patients a good environment for optimizing therapy

    Directory of Open Access Journals (Sweden)

    Corhay JL

    2013-12-01

    Full Text Available Jean-Louis Corhay, Delphine Nguyen Dang, Hélène Van Cauwenberge, Renaud Louis Department of Pneumology, Centre Hospitalier Universitaire du Sart-Tilman Liège, Liège, Belgium Abstract: Chronic obstructive pulmonary disease (COPD is an obstructive and progressive airway disease associated with an important reduction in daily physical activity and psychological problems that contribute to the patient's disability and poor health-related quality of life (HRQoL. Nowadays, pulmonary rehabilitation (PR plays an essential role in the management of symptomatic patients with COPD, by breaking the vicious circle of dyspnea–decreased activity–deconditioning–isolation. Indeed the main benefits of comprehensive PR programs for patients with COPD include a decrease in symptoms (dyspnea and fatigue, improvements in exercise tolerance and HRQoL, reduction of health care utilization (particularly bed-days, as well as an increase in physical activity. Several randomized studies and meta-analyses greatly established the benefits of PR, which additionally, is recommended in a number of influential guidelines. This review aimed to highlight the impact of PR on COPD patients, focusing on the clinical usefulness of PR, which provides patients a good support for change. Keywords: chronic obstructive pulmonary disease, exercise training, physical activity, quality of life

  18. Evaluation of Persian Professional Web Social Networks\\\\\\' Features, to Provide a Suitable Solution for Optimization of These Networks in Iran

    OpenAIRE

    Nadjla Hariri; Amir Mahdi Anbari

    2013-01-01

    This study aimed to determine the status of Persian professional web social networks' features and provide a suitable solution for optimization of these networks in Iran. The research methods were library research and evaluative method, and study population consisted of 10 Persian professional web social networks. In this study, for data collection, a check list of social networks important tools and features was used. According to the results, “Cloob”, “IR Experts” and “Doreh” were the most ...

  19. Time optimal control of an additional food provided predator-prey system with applications to pest management and biological conservation.

    Science.gov (United States)

    Srinivasu, P D N; Prasad, B S R V

    2010-04-01

    Use of additional food has been widely recognized by experimental scientists as one of the important tools for biological control such as species conservation and pest management. The quality and quantity of additional food supplied to the predators is known to play a vital role in the controllability of the system. The present study is continuation of a previous work that highlights the importance of quality and quantity of the additional food in the dynamics of a predator-prey system in the context of biological control. In this article the controllability of the predator-prey system is analyzed by considering inverse of quality of the additional food as the control variable. Control strategies are offered to steer the system from a given initial state to a required terminal state in a minimum time by formulating Mayer problem of optimal control. It is observed that an optimal strategy is a combination of bang-bang controls and could involve multiple switches. Properties of optimal paths are derived using necessary conditions for Mayer problem. In the light of the results evolved in this work it is possible to eradicate the prey from the eco-system in the minimum time by providing the predator with high quality additional food, which is relevant in the pest management. In the perspective of biological conservation this study highlights the possibilities to drive the state to an admissible interior equilibrium (irrespective of its stability nature) of the system in a minimum time.

  20. A Multi-Period Optimization Model for Service Providers Using Online Reservation Systems: An Application to Hotels.

    Directory of Open Access Journals (Sweden)

    Ming Xu

    Full Text Available This paper presents a multi-period optimization model for high margin and zero salvage products in online distribution channels with classifying customers based on number of products required. Taking hotel customers as an example, one is regular customers who reserve rooms for one day, and the other is long term stay (LTS customers who reserve rooms for a number of days. LTS may guarantee a specific amount of demand and generate opportunity income for a certain number of periods, meanwhile with risk of punishment incurred by overselling. By developing an operational optimization model and exploring the effects of parameters on optimal decisions, we suggest that service providers should make decisions based on the types of customers, number of products required, and duration of multi-period to reduce the loss of reputation and obtain more profit; at the same time, multi-period buying customers should buy products early. Finally, the paper conducts a numerical experiment, and the results are consistent with prevailing situations.

  1. A Multi-Period Optimization Model for Service Providers Using Online Reservation Systems: An Application to Hotels.

    Science.gov (United States)

    Xu, Ming; Jiao, Yan; Li, Xiaoming; Cao, Qingfeng; Wang, Xiaoyang

    2015-01-01

    This paper presents a multi-period optimization model for high margin and zero salvage products in online distribution channels with classifying customers based on number of products required. Taking hotel customers as an example, one is regular customers who reserve rooms for one day, and the other is long term stay (LTS) customers who reserve rooms for a number of days. LTS may guarantee a specific amount of demand and generate opportunity income for a certain number of periods, meanwhile with risk of punishment incurred by overselling. By developing an operational optimization model and exploring the effects of parameters on optimal decisions, we suggest that service providers should make decisions based on the types of customers, number of products required, and duration of multi-period to reduce the loss of reputation and obtain more profit; at the same time, multi-period buying customers should buy products early. Finally, the paper conducts a numerical experiment, and the results are consistent with prevailing situations.

  2. A Multi-Period Optimization Model for Service Providers Using Online Reservation Systems: An Application to Hotels.

    Science.gov (United States)

    Xu, Ming; Jiao, Yan; Li, Xiaoming; Cao, Qingfeng; Wang, Xiaoyang

    2015-01-01

    This paper presents a multi-period optimization model for high margin and zero salvage products in online distribution channels with classifying customers based on number of products required. Taking hotel customers as an example, one is regular customers who reserve rooms for one day, and the other is long term stay (LTS) customers who reserve rooms for a number of days. LTS may guarantee a specific amount of demand and generate opportunity income for a certain number of periods, meanwhile with risk of punishment incurred by overselling. By developing an operational optimization model and exploring the effects of parameters on optimal decisions, we suggest that service providers should make decisions based on the types of customers, number of products required, and duration of multi-period to reduce the loss of reputation and obtain more profit; at the same time, multi-period buying customers should buy products early. Finally, the paper conducts a numerical experiment, and the results are consistent with prevailing situations. PMID:26147663

  3. Proposing a Multi-Criteria Path Optimization Method in Order to Provide a Ubiquitous Pedestrian Wayfinding Service

    Science.gov (United States)

    Sahelgozin, M.; Sadeghi-Niaraki, A.; Dareshiri, S.

    2015-12-01

    A myriad of novel applications have emerged nowadays for different types of navigation systems. One of their most frequent applications is Wayfinding. Since there are significant differences between the nature of the pedestrian wayfinding problems and of those of the vehicles, navigation services which are designed for vehicles are not appropriate for pedestrian wayfinding purposes. In addition, diversity in environmental conditions of the users and in their preferences affects the process of pedestrian wayfinding with mobile devices. Therefore, a method is necessary that performs an intelligent pedestrian routing with regard to this diversity. This intelligence can be achieved by the help of a Ubiquitous service that is adapted to the Contexts. Such a service possesses both the Context-Awareness and the User-Awareness capabilities. These capabilities are the main features of the ubiquitous services that make them flexible in response to any user in any situation. In this paper, it is attempted to propose a multi-criteria path optimization method that provides a Ubiquitous Pedestrian Way Finding Service (UPWFS). The proposed method considers four criteria that are summarized in Length, Safety, Difficulty and Attraction of the path. A conceptual framework is proposed to show the influencing factors that have effects on the criteria. Then, a mathematical model is developed on which the proposed path optimization method is based. Finally, data of a local district in Tehran is chosen as the case study in order to evaluate performance of the proposed method in real situations. Results of the study shows that the proposed method was successful to understand effects of the contexts in the wayfinding procedure. This demonstrates efficiency of the proposed method in providing a ubiquitous pedestrian wayfinding service.

  4. Toxicities of bone marrow transplantation (BMT) with or without total body irradiation (TBI) in children ≤ 3 years old

    International Nuclear Information System (INIS)

    Purpose: To describe the toxicities of BMT using conditioning regimens with or without TBI in patients ≤ 3 years old treated at a single institution over a 10 year period. Materials/Methods: We retrospectively reviewed the medical records of 125 pediatric patients treated with BMT at a single institution from February, 1986 through February, 1996. Of these, 23 patients were ≤ 3 years old and are included in this study. A variety of chemotherapeutic preparative regimens were used. Fractionated TBI to a total dose of 12 Gy at 1.5 - 2.0 Gy/fraction over 3-4 days was used in 10 patients. Both acute and late toxicities were recorded based on interviews and the medical record. Survival and disease status were determined for all patients. Results: Patient diagnoses include acute lymphoblastic leukemia (n=3), acute myelogenous leukemia (n=7), neuroblastoma (n=4), rhabdomyosarcoma (n=1), severe aplastic anemia (n=3), and 5 patients with other inherited disorders. Thirteen patients (52%) were male. The mean age at diagnosis was 14.4 months (1-30 months). The mean age at transplant was 23.6 months (6-26 months). Median followup of surviving patients was 8 months (2-89 months). There were 10 autologuous, 11 allogeneic, and 2 haploidentical transplants. Four patients were retransplanted for relapsed neoplastic disease and 3 are alive. Thirteen of 23 patients (52%) are known to be alive. All 8 patients with non-malignant diagnoses (NM group) are alive. Of the 15 patients with malignancy (M group), 5 (33%) are alive. Of the NM group, 2 (25%) had interstitial pneumonitis post transplant, 3 (38%) were diagnosed with short stature, and 1 (7%) had diagnosed cataracts. One patient with 3 transplants had bronchiolitis obliterans and mild restrictive lung disease. Two patients had graft versus host disease (GVHD) post transplant. Of the M group, 1 (7%) patient died of transplant related toxicity (pulmonary mucormycosis and graft failure after second transplant). One (7%) patient had

  5. A method to improve multiobjective genetic algorithm optimization of a self-fuel-providing LMFBR by niche induction among nondominated solutions

    Energy Technology Data Exchange (ETDEWEB)

    Toshinsky, Vladimir G.; Sekimoto, Hiroshi E-mail: hsekimot@nr.titech.ac.jp; Toshinsky, Georgy I

    2000-03-01

    A method to improve the optimization performance of a genetic algorithm (GA) for multiobjective optimization problems is proposed. It is based on niche induction among nondominated solutions that is fulfilled by the control on their reproduction potential by using a sharing function. It is applied to an equilibrium cycle fuel reloading pattern for a Self-Fuel-Providing Reactor, and it provides better results compared to ones obtained with an adaptation of a conventional method.

  6. uVOIP: Cross-Layer Optimization of Buffer Operations for Providing Secure VOIP Services on Constrained Embedded Devices

    Directory of Open Access Journals (Sweden)

    Dinil.D

    2009-12-01

    Full Text Available In this paper, we present an optimized implementation of secure VoIP protocol stack so that the stackwould fit into the memory and computation budget of constrained embedded systems. The novel approachthat we take to achieve this is to perform cross-layer optimization of buffers and buffer operations.Buffers and buffer operations are involved in playback, capture, codec transformations, and network I/O.Following this approach, we have implemented VoIP application functions, RTP, and Secure RTPprotocols in a tightly integrated and highly optimized manner, on the top of the embedded TCP/IP stack,uIP. We call the protocol stack thus constructed, the uVoIP stack. We have tested the uVoIP stack inGNU/Linux Operating System using tunnel device for sending and receiving raw packets

  7. DECOVALEX III/BENCHPAR PROJECTS. Implications of Thermal-Hydro-Mechanical Coupling on the Near-Field Safety of a Nuclear Waste Repository. Report of BMT1A/WP2

    Energy Technology Data Exchange (ETDEWEB)

    Jing, L. [Royal Inst. of Technology, Stockholm (Sweden). Engineering Geology; Nguyen, T.S. [Canadian Nuclear Safety Commission, Ottawa, ON (Canada)] (eds.)

    2005-02-15

    This report presents the works performed for the first phase (BMT1A) of BMT1 of the DECOVALEX III project for the period of 1999-2002. The works of BMT1 is divided into three phases: BMT1A, BMT1B and BMT1C. The BMT1A concerns with calibration of the computer codes with a reference T-H-M experiment at Kamaishi Mine, Japan. The objective is to validate the numerical approaches, computer codes and material models, so that the teams simulating tools are at a comparable level of maturity and sophistication in order to perform the scooping calculations defined in BMT1B and BMT1C. Five teams participated in studying BMT1A: CNSC (Canada), JNC (Japan), IRSN/CEA (France), ANDRA/INERIS (France) and SKI/KTH (Sweden), using FEM approach except the INERIS team (Using FDM approach). A simplified calibration test case of the in-situ experiment was proposed and defined as an axisymmetric model. The case focuses on the THM behaviour along a radial line (with a radial distance r as the coordinate) from the centre of the heater. The desired output parameters are: temperature, radial displacement, pore pressure, water content, the total radial stress and the radial and tangential strains, respectively. Time histories of these output parameters were calculated for both the heating and cooling phases. A number of improvements to the modelling of the Kamaishi Mine heater test were suggested and tested in this study. Although the model geometry is much simplified compared to the field test conditions, improved simulation of the general THM responses were obtained, as compared with the Task 2C results of DECOVALEX II. The measures taken for improvement were: i) Parameter changes (reduced rock mass permeability and rock mass thermal expansion by the SKI/KTH team, and increased thermal expansion coefficient and reduced swelling pressure constant of the buffer by JNC team); ii) Inclusion of the sealing of rock fractures by penetrating bentonite by the SKI/KTH team, which can explain the

  8. Sub-optimal delivery of intermittent preventive treatment for malaria in pregnancy in Nigeria: influence of provider factors

    Directory of Open Access Journals (Sweden)

    Onoka Chima A

    2012-09-01

    Full Text Available Abstract Background The level of access to intermittent preventive treatment for malaria in pregnancy (IPTp in Nigeria is still low despite relatively high antenatal care coverage in the study area. This paper presents information on provider factors that affect the delivery of IPTp in Nigeria. Methods Data were collected from heads of maternal health units of 28 public and six private health facilities offering antenatal care (ANC services in two districts in Enugu State, south-east Nigeria. Provider knowledge of guidelines for IPTp was assessed with regard to four components: the drug used for IPTp, time of first dose administration, of second dose administration, and the strategy for sulphadoxine-pyrimethamine (SP administration (directly observed treatment, DOT. Provider practices regarding IPTp and facility-related factors that may explain observations such as availability of SP and water were also examined. Results Only five (14.7% of all 34 providers had correct knowledge of all four recommendations for provision of IPTp. None of them was a private provider. DOT strategy was practiced in only one and six private and public providers respectively. Overall, 22 providers supplied women with SP in the facility and women were allowed to take it at home. The most common reason for doing so amongst public providers was that women were required to come for antenatal care on empty stomachs to enhance the validity of manual fundal height estimation. Two private providers did not think it was necessary to use the DOT strategy because they assumed that women would take their drugs at home. Availability of SP and water in the facility, and concerns about side effects were not considered impediments to delivery of IPTp. Conclusion There was low level of knowledge of the guidelines for implementation of IPTp by all providers, especially those in the private sector. This had negative effects such as non-practice of DOT strategy by most of the providers

  9. Optimized high-throughput microRNA expression profiling provides novel biomarker assessment of clinical prostate and breast cancer biopsies

    Directory of Open Access Journals (Sweden)

    Fedele Vita

    2006-06-01

    Full Text Available Abstract Background Recent studies indicate that microRNAs (miRNAs are mechanistically involved in the development of various human malignancies, suggesting that they represent a promising new class of cancer biomarkers. However, previously reported methods for measuring miRNA expression consume large amounts of tissue, prohibiting high-throughput miRNA profiling from typically small clinical samples such as excision or core needle biopsies of breast or prostate cancer. Here we describe a novel combination of linear amplification and labeling of miRNA for highly sensitive expression microarray profiling requiring only picogram quantities of purified microRNA. Results Comparison of microarray and qRT-PCR measured miRNA levels from two different prostate cancer cell lines showed concordance between the two platforms (Pearson correlation R2 = 0.81; and extension of the amplification, labeling and microarray platform was successfully demonstrated using clinical core and excision biopsy samples from breast and prostate cancer patients. Unsupervised clustering analysis of the prostate biopsy microarrays separated advanced and metastatic prostate cancers from pooled normal prostatic samples and from a non-malignant precursor lesion. Unsupervised clustering of the breast cancer microarrays significantly distinguished ErbB2-positive/ER-negative, ErbB2-positive/ER-positive, and ErbB2-negative/ER-positive breast cancer phenotypes (Fisher exact test, p = 0.03; as well, supervised analysis of these microarray profiles identified distinct miRNA subsets distinguishing ErbB2-positive from ErbB2-negative and ER-positive from ER-negative breast cancers, independent of other clinically important parameters (patient age; tumor size, node status and proliferation index. Conclusion In sum, these findings demonstrate that optimized high-throughput microRNA expression profiling offers novel biomarker identification from typically small clinical samples such as breast

  10. Context Aware Adaptive Service based Dynamic Channel Allocation Approach for Providing an Optimal QoS over MANET

    Directory of Open Access Journals (Sweden)

    A. Ayyasamy

    2014-07-01

    Full Text Available Large variations in network Quality of Service (QoS in terms of bandwidth, latency and jitter may occur during media transfer over mobile ad-hoc networks. Applications need to adapt their functionality according to dynamic change of their QoS update. This paper proposes an enhanced service based platform to provide adaptive network management services to higher level application layer components. The Context Aware Adaptive Service (COAAS is a middleware architecture for service adaptation based on ad hoc network and service awareness. COAAS is structured in such a way that it can provide QoS awareness to streaming applications as well manage dynamic ad hoc network resources using an adaptive channel allocation approach. The overall architecture of COAAS framework includes core components to connection establishment, connection monitor, connection controller and policy manager. Adaptive channel allocation defined as object based component helps in dynamic binding during run time implemented using JXTA and J2ME using CDC [15] toolkit to demonstrate the performance of a mobile setup as a conference application.

  11. Optimizing the Fuel Consumption and Providing the Environmental Indicators in Green Architecture by using the Exergy Analysis

    Directory of Open Access Journals (Sweden)

    Nasim Bahmn

    2013-06-01

    Full Text Available This study aims to evaluate the reduced consumption of fossil fuels which lead to the environmental pollution, high costs and intensified fuel crisis in global markets. This research is applied based on the objective, has a type of library research and is among the survey research based on the method. The method of library studies with the document branch is applied in order to collect the required¬ data; and the information related to the variables of research is extracted by referring to the scientific sources and accessible documents of relevant organizations. Providing the consumed electric power in this article has been classified into three sections of manufacturing, distribution and consumption. As noted in the theoretical studies, the library studies and review of Ministry of Energy statistics indicate that about 80% of fuel of industry sector is consumed in power plants and refineries and the power plants play the highest role in the environmental pollution after the transportation sector. Therefore, by using the exergy and pinch technologies and developing the thermodynamic laws, it has been tried to provide the computational methods to reduce the energy consumption.

  12. DECOVALEX III/BENCHPAR PROJECTS. Implications of Thermal-Hydro-Mechanical Coupling on the Near-Field Safety of a Nuclear Waste Repository in a Homogeneous Rock Mass. Report of BMT1B/WP2

    Energy Technology Data Exchange (ETDEWEB)

    Jing, L. [Royal Inst. of Technology, Stockholm (Sweden). Engineering Geology; Nguyen, T.S. [Canadian Nuclear Safety Commission, Ottawa, ON (Canada)] (eds.)

    2005-02-15

    This report presents the works performed for the second phase (BMT1B) of BMT1 of the DECOVALEX III project for the period of 1999-2002. The works of BMT1 is divided into three phases: BMT1A, BMT1B and BMT1C. The BMT1A concerns with calibration of the computer codes with a reference T-H-M experiment at Kamaishi Mine, Japan. The objective is to validate the numerical approaches, computer codes and material models, so that the teams simulating tools are at a comparable level of maturity and sophistication. The BMT1B uses the calibrated codes to perform scoping calculations, considering varying degrees of THM coupling and varying permeability values of the surrounding rock for a reference generic repository design without fractures. The aim is to identify the coupling mechanisms of importance for construction, performance and safety of the repository. The chosen measures for evaluating the long term safety and performance of the repository are the maximal temperature created by the thermal loading from the emplaced wastes, the time for re-saturation of the buffer, the maximal swelling stress developed in the buffer, the structural integrity of the rock mass and the permeability evolution in the rock mass. Six teams participated in BMT1B: IRSN/CEA (France), CNSC (Canada), ANDRA/INERIS (France), JNC (Japan), BGR/ISEB-ZAG (Germany) and SKI/KTH (Sweden). All teams used FEM approach except the ANDRA/INERIS team who used the FDM approach, with different codes. All research teams except ISEB/ZAG used models with full THM coupling capabilities. The governing equations in these models were derived within the framework of Biot's theory of consolidation and have for primary unknown variables: temperature, pore fluid pressure and displacements of the solid skeleton. Since the original Biot's theory of consolidation is applicable to saturated materials and isothermal conditions, the research teams have to extend Biot's theory in order to deal with thermal effects and

  13. The design of a high-efficiency neutron counter for waste drums to provide optimized sensitivity for plutonium assay

    Energy Technology Data Exchange (ETDEWEB)

    Menlove, H.O.; Beddingfield, D.H.; Pickrell, M.M. [Los Alamos National Lab., NM (United States)] [and others

    1997-11-01

    An advanced passive neutron counter has been designed to improve the accuracy and sensitivity for the nondestructive assay of plutonium in scrap and waste containers. The High-Efficiency Neutron Counter (HENC) was developed under a Cooperative Research Development Agreement between the Los Alamos National Laboratory and Canberra Industries. The primary goal of the development was to produce a passive assay system for 200-L drums that has detectability limits and multiplicity counting features that are superior to previous systems. A detectability limit figure of merit (FOM) was defined that included the detector efficiency, the neutron die-away time, and the detector`s active volume and density that determine the cosmic-ray background. Monte Carlo neutron calculations were performed to determine the parameters to provide an optimum FOM. The system includes the {sup 252}Cf {open_quotes}add-a-source{close_quotes} feature to improve the accuracy as well as statistical filters to reduce the cosmic-ray spallation neutron background. The final decision gave an efficiency of 32% for plutonium with a detector {sup 3}He tube volume that is significantly smaller than for previous high-efficiency systems for 200-L drums. Because of the high efficiency of the HENC, we have incorporated neutron multiplicity counting for matrix corrections for those cases where the plutonium is localized in nonuniform hydrogenous materials. The paper describes the design and performance testing of the advanced system. 5 refs., 8 figs., 3 tabs.

  14. DECOVALEX III III/BENCHPAR PROJECTS. Approaches to Upscaling Thermal-Hydro-Mechanical Processes in a Fractured Rock. Mass and its Significance for Large-Scale Repository Performance Assessment. Summary of Findings. Report of BMT2/WP3

    Energy Technology Data Exchange (ETDEWEB)

    Andersson, Johan (comp.) [JA Streamflow AB, Aelvsjoe (Sweden); Staub, Isabelle (comp.) [Golder Associates AB, Stockholm (Sweden); Knight, Les (comp.) [Nirex UK Ltd, Oxon (United Kingdom)

    2005-02-15

    The Benchmark Test 2 of DECOVALEX III and Work Package 3 of BENCHPAR concerns the upscaling Thermal (T), Hydrological (H) and Mechanical (M) processes in a fractured rock mass and its significance for large-scale repository performance assessment. The work is primarily concerned with the extent to which various thermo-hydro-mechanical couplings in a fractured rock mass adjacent to a repository are significant in terms of solute transport typically calculated in large-scale repository performance assessments. Since the presence of even quite small fractures may control the hydraulic, mechanical and coupled hydromechanical behaviour of the rock mass, a key of the work has been to explore the extent to which these can be upscaled and represented by 'equivalent' continuum properties appropriate PA calculations. From these general aims the BMT was set-up as a numerical study of a large scale reference problem. Analysing this reference problem should: help explore how different means of simplifying the geometrical detail of a site, with its implications on model parameters, ('upscaling') impacts model predictions of relevance to repository performance, explore to what extent the THM-coupling needs to be considered in relation to PA-measures, compare the uncertainties in upscaling (both to uncertainty on how to upscale or uncertainty that arises due to the upscaling processes) and consideration of THM couplings with the inherent uncertainty and spatial variability of the site specific data. Furthermore, it has been an essential component of the work that individual teams not only produce numerical results but are forced to make their own judgements and to provide the proper justification for their conclusions based on their analysis. It should also be understood that conclusions drawn will partly be specific to the problem analysed, in particular as it mainly concerns a 2D application. This means that specific conclusions may have limited applicability

  15. An imaging informatics-based ePR (electronic patient record) system for providing decision support in evaluating dose optimization in stroke rehabilitation

    Science.gov (United States)

    Liu, Brent J.; Winstein, Carolee; Wang, Ximing; Konersman, Matt; Martinez, Clarisa; Schweighofer, Nicolas

    2012-02-01

    Stroke is one of the major causes of death and disability in America. After stroke, about 65% of survivors still suffer from severe paresis, while rehabilitation treatment strategy after stroke plays an essential role in recovery. Currently, there is a clinical trial (NIH award #HD065438) to determine the optimal dose of rehabilitation for persistent recovery of arm and hand paresis. For DOSE (Dose Optimization Stroke Evaluation), laboratory-based measurements, such as the Wolf Motor Function test, behavioral questionnaires (e.g. Motor Activity Log-MAL), and MR, DTI, and Transcranial Magnetic Stimulation (TMS) imaging studies are planned. Current data collection processes are tedious and reside in various standalone systems including hardcopy forms. In order to improve the efficiency of this clinical trial and facilitate decision support, a web-based imaging informatics system has been implemented together with utilizing mobile devices (eg, iPAD, tablet PC's, laptops) for collecting input data and integrating all multi-media data into a single system. The system aims to provide clinical imaging informatics management and a platform to develop tools to predict the treatment effect based on the imaging studies and the treatment dosage with mathematical models. Since there is a large amount of information to be recorded within the DOSE project, the system provides clinical data entry through mobile device applications thus allowing users to collect data at the point of patient interaction without typing into a desktop computer, which is inconvenient. Imaging analysis tools will also be developed for structural MRI, DTI, and TMS imaging studies that will be integrated within the system and correlated with the clinical and behavioral data. This system provides a research platform for future development of mathematical models to evaluate the differences between prediction and reality and thus improve and refine the models rapidly and efficiently.

  16. A novel electrospun biphasic scaffold provides optimal three-dimensional topography for in vitro co-culture of airway epithelial and fibroblast cells

    International Nuclear Information System (INIS)

    Conventional airway in vitro models focus upon the function of individual structural cells cultured in a two-dimensional monolayer, with limited three-dimensional (3D) models of the bronchial mucosa. Electrospinning offers an attractive method to produce defined, porous 3D matrices for cell culture. To investigate the effects of fibre diameter on airway epithelial and fibroblast cell growth and functionality, we manipulated the concentration and deposition rate of the non-degradable polymer polyethylene terephthalate to create fibres with diameters ranging from nanometre to micrometre. The nanofibre scaffold closely resembles the basement membrane of the bronchiole mucosal layer, and epithelial cells cultured at the air–liquid interface on this scaffold showed polarized differentiation. The microfibre scaffold mimics the porous sub-mucosal layer of the airway into which lung fibroblast cells showed good penetration. Using these defined electrospinning parameters we created a biphasic scaffold with 3D topography tailored for optimal growth of both cell types. Epithelial and fibroblast cells were co-cultured onto the apical nanofibre phase and the basal microfibre phase respectively, with enhanced epithelial barrier formation observed upon co-culture. This biphasic scaffold provides a novel 3D in vitro platform optimized to mimic the different microenvironments the cells encounter in vivo on which to investigate key airway structural cell interactions in airway diseases such as asthma. (paper)

  17. DECOVALEX III/BENCHPAR PROJECTS. The Thermal-Hydro-Mechanical Responses to a Glacial Cycle and their Potential Implications for Deep Geological Disposal of Nuclear Fuel Waste in a Fractured Crystalline Rock Mass. Report of BMT3/WP4

    Energy Technology Data Exchange (ETDEWEB)

    Chan, T.; Stanchell, F.W. [Atomic Energy of Canada Ltd, Toronto (Canada); Christiansson, R. [Swedish Nuclear Fuel and Waste Management Co., Figeholm (Sweden); Boulton, G.S. [Univ. of Edinburgh (United Kingdom). School of GeoSciences; Eriksson, L.O.; Vistrand, P.; Wallroth, T. [Chalmers Univ. of Technology, Goeteborg (Sweden). Dept. of Geology; Hartikainen, J. [Helsinki Univ. of Technology (Finland). Inst. of Mathematics; Jensen, M.R. [0ntario Power Generation, Toronto (Canada); Mas lvars, D. [Royal Inst. of Technology, Stockholm (Sweden). Land and Water Resources engineering

    2005-02-15

    A number of studies related to past and on-going deep repository performance assessments have identified glaciation/deglaciation as major future events in the next few hundred thousand years capable of causing significant impact on the long term performance of the repository system. Benchmark Test 3 (BMT3) of the international DECOVALEX III project has been designed to provide an illustrative example that explores the mechanical and hydraulic response of a fractured crystalline rock mass to a period of glaciation. The primary purpose of this numerical study is to investigate whether transient events associated with a glacial cycle could significantly influence the performance of a deep geological repository in a crystalline shield setting. A conceptual site-scale (tens of kilometres) hydro-mechanical (HM) model was assembled based primarily on site-specific litho-structural, hydrogeological and geomechanical data from the Whiteshell Research Area in the Canadian Shield, with simplification and generalization. Continental glaciological modelling of the Laurentide ice sheet through the last glacial cycle lasting approximately 100,000 years suggests that this site was glaciated at about 60 ka and between about 22.5 ka and 11 ka before present with maximum ice sheet thickness reaching 2,500 m and maximum basal water pressure head reaching 2000 m. The ice-sheet/drainage model was scaled down to generate spatially and temporally variable hydraulic and mechanical glaciated surface boundary conditions for site-scale subsurface HM modelling and permafrost modelling. Under extreme periglacial conditions permafrost was able to develop down to the assumed 500-m repository horizon. Two- and three-dimensional coupled HM finite-element simulations indicate: during ice-sheet advance there is rapid rise in hydraulic head, high transient hydraulic gradients and high groundwater velocities 2-3 orders of magnitude higher than under nonglacial conditions; surface water recharges deeper

  18. Optimization of Agroinfiltration in Pisum sativum Provides a New Tool for Studying the Salivary Protein Functions in the Pea Aphid Complex.

    Science.gov (United States)

    Guy, Endrick; Boulain, Hélène; Aigu, Yoann; Le Pennec, Charlotte; Chawki, Khaoula; Morlière, Stéphanie; Schädel, Kristina; Kunert, Grit; Simon, Jean-Christophe; Sugio, Akiko

    2016-01-01

    Aphids are piercing-sucking insect pests and feed on phloem sap. During feeding, aphids inject a battery of salivary proteins into host plant. Some of these proteins function like effectors of microbial pathogens and influence the outcome of plant-aphid interactions. The pea aphid (Acyrthosiphon pisum) is the model aphid and encompasses multiple biotypes each specialized to one or a few legume species, providing an opportunity to investigate the underlying mechanisms of the compatibility between plants and aphid biotypes. We aim to identify the aphid factors that determine the compatibility with host plants, hence involved in the host plant specialization process, and hypothesize that salivary proteins are one of those factors. Agrobacterium-mediated transient gene expression is a powerful tool to perform functional analyses of effector (salivary) proteins in plants. However, the tool was not established for the legume species that A. pisum feeds on. Thus, we decided to optimize the method for legume plants to facilitate the functional analyses of A. pisum salivary proteins. We screened a range of cultivars of pea (Pisum sativum) and alfalfa (Medicago sativa). None of the M. sativa cultivars was suitable for agroinfiltration under the tested conditions; however, we established a protocol for efficient transient gene expression in two cultivars of P. sativum, ZP1109 and ZP1130, using A. tumefaciens AGL-1 strain and the pEAQ-HT-DEST1 vector. We confirmed that the genes are expressed from 3 to 10 days post-infiltration and that aphid lines of the pea adapted biotype fed and reproduced on these two cultivars while lines of alfalfa and clover biotypes did not. Thus, the pea biotype recognizes these two cultivars as typical pea plants. By using a combination of ZP1109 and an A. pisum line, we defined an agroinfiltration procedure to examine the effect of in planta expression of selected salivary proteins on A. pisum fitness and demonstrated that transient expression of

  19. Combined gene/cell therapies provide long-term and pervasive rescue of multiple pathological symptoms in a murine model of globoid cell leukodystrophy

    OpenAIRE

    Ricca, Alessandra; Rufo, Nicole; Ungari, Silvia; Morena, Francesco; Martino, Sabata; Kulik, Wilem; Alberizzi, Valeria; Bolino, Alessandra; Bianchi, Francesca; del Carro, Ubaldo; Biffi, Alessandra; Gritti, Angela

    2015-01-01

    Globoid cell leukodystrophy (GLD) is a lysosomal storage disease caused by deficient activity of β-galactocerebrosidase (GALC). The infantile forms manifest with rapid and progressive central and peripheral demyelination, which represent a major hurdle for any treatment approach. We demonstrate here that neonatal lentiviral vector-mediated intracerebral gene therapy (IC GT) or transplantation of GALC-overexpressing neural stem cells (NSC) synergize with bone marrow transplant (BMT) providing ...

  20. Providing and optimizing functional MR (Magnetic Resonance) of motor cortex of human brain by MRI ( Magnetic Resonance Imaging) facilities of Imam Khomeinie Hospital

    CERN Document Server

    Khosravie, H R

    2000-01-01

    During the stimulation, an observable increased signal (%2-%5)in respective sensory-motor cortex was obtained after correcting for partial volume effects, optimizing S/N,and incorporating small vowels. The 2 D F A S T functional image obtained by this method, showed an anatomical association of the increased signal with gray matter of sensory-motor cortex(in T 1 weighted image). The resultant data showed the feasibility of functional magnetic resonance imaging using optimized gradient echo sequences on a standard 1.5 T imager. Display of human brain cortical activity is accomplished using various techniques, by them different spatial and temporal resolution may be obtained. F MRI technique with proper spatial and temporal resolution due to its noninvasivity is one of the promising techniques for detection of brain activities. This can be used as an important tool by neurologists, since a great development has been achieved for display different brain function. This thesis report the results of simulation effe...

  1. Optimization and Optimal Control

    CERN Document Server

    Chinchuluun, Altannar; Enkhbat, Rentsen; Tseveendorj, Ider

    2010-01-01

    During the last four decades there has been a remarkable development in optimization and optimal control. Due to its wide variety of applications, many scientists and researchers have paid attention to fields of optimization and optimal control. A huge number of new theoretical, algorithmic, and computational results have been observed in the last few years. This book gives the latest advances, and due to the rapid development of these fields, there are no other recent publications on the same topics. Key features: Provides a collection of selected contributions giving a state-of-the-art accou

  2. A CONTEXT AWARE BASED PRE-HANDOFF SUPPORT APPROACH TO PROVIDE OPTIMAL QOS FOR STREAMING APPLICATIONS OVER VEHICULAR AD HOC NETWORKS – HOSA

    Directory of Open Access Journals (Sweden)

    K. RAMESH BABU

    2015-06-01

    Full Text Available Large variations in network Quality of Service (QoS such as bandwidth, latency, jitter, and reliability may occur during media transfer over vehicular ad hoc networks (VANET. Usage of VANET over mobile and wireless computing applications experience “bursty” QoS behavior during the execution over distributed network scenarios. Applications such as streaming media services need to adapt their functionalities to any change in network status. Moreover, an enhanced software platform is necessary to provide adaptive network management services to upper software components. HOSA, a handoff service broker based architecture for QoS adaptation over VANET supports in providing awareness. HOSA is structured as a middleware platform both to provide QoS awareness to streaming applications as well to manage dynamic ad hoc network resources with support over handoff in an adaptive fashion. HOSA is well analyzed over routing schemes such as TIBSCRPH, SIP and ABSRP where performance of HOSA was measured using throughput, traffic intensity and end to end delay. HOSA has been analyzed using JXTA development toolkit over C++ implemented classes to demonstrate its performance over varying node mobility established using vehicular mobility based conference application.

  3. Ethical issues in bone marrow transplantation in children.

    Science.gov (United States)

    Bendorf, Aric; Kerridge, Ian H

    2011-09-01

    In the 50 years since the first successful human bone marrow transplant (BMT) was performed in 1959, BMT has become the optimal therapy for a wide variety of life-threatening paediatric haematological, immunological and genetic disorders. Unfortunately, while BMT generally provides the only possibility of cure for such afflicted children, few (25%) have a matched sibling available, and suitably matched unrelated donors are often not identified for many children in need of BMT. And even where BMT is possible, treatment is complex and arduous and associated with significant mortality and morbidity. The issues raised when either or both the donor and recipient are children and lack the capacity to make informed and rational decisions relating to BMT pose great challenges for all involved. This paper examines some of the ethical dilemmas that confront patients, families and medical practitioners when considering bone marrow transplantation in a child. PMID:21951444

  4. Legislation should support optimal breastfeeding practices and access to low-cost, high-quality complementary foods: Indonesia provides a case study.

    Science.gov (United States)

    Soekarjo, Damayanti; Zehner, Elizabeth

    2011-10-01

    It is important to support women to exclusively breastfeed for 6 months and continue breastfeeding for 24 months and beyond. It is also necessary to provide the poor with access to affordable ways to improve the quality of complementary foods. Currently, many countries do not have the legal and policy environment necessary to support exclusive and continued breastfeeding. Legislative and policy changes are also necessary for introducing complementary food supplements, allowing them to be marketed to those who need them, and ensuring that marketing remains appropriate and in full compliance with the International Code of Marketing of Breastmilk Substitutes. This paper aims to illustrate the above with examples from Indonesia and to identify legislative requirements for supporting breastfeeding and enabling appropriate access to high-quality complementary food supplements for children 6-24 months of age. Requirements include improved information, training, monitoring and enforcement systems for the International Code of Marketing of Breastmilk Substitutes; implementation and monitoring of the Baby-Friendly Hospital Initiative; establishment of a registration category for complementary food supplements to enhance availability of high-quality, low-cost fortified products to help improve young child feeding; clear identification and marketing of these products as complementary food supplements for 6-24-month-olds so as to promote proper use and not interfere with breastfeeding. PMID:21929639

  5. Exploring the Role of Islamic Microfinance Institution in Poverty Alleviation Through Microenterprises Development, A Case Study of Islamic Financial Cooperative (BMT) in Indonesia

    OpenAIRE

    Nur Indah Riwajanti

    2014-01-01

    Poverty alleviation might be carried out through many different approaches. Among others, provision of access to financing for microenterprises is likely to be important considering that the main problem of microenterprises is fast and easy access to financing. Taking into account that the majority of Indonesian population are Muslim, provision of Islamic micro financing, particularly through BMT (Baitul Maal wa Tamweel) to microenterprises could be one potential solution. This study aims to ...

  6. Better movers and thinkers (BMT: A quasi-experimental study into the impact of physical education on children's cognition—A study protocol

    Directory of Open Access Journals (Sweden)

    Andrew Dalziell

    2015-01-01

    This protocol provides the details of the rationale and design of the study and details of the intervention, outcome measures, and the recruitment process. The study will address gaps within current research by evaluating if a change of approach in the delivery of PE within schools has an effect on children's cognition, PA habits, and GMC within a Scottish setting.

  7. A technique for determining the optimum mix of logistics service providers of a make-to-order supply chain by formulating and solving a constrained nonlinear cost optimization problem

    Directory of Open Access Journals (Sweden)

    Mrityunjoy Roy

    2013-04-01

    Full Text Available In this paper, a technique has been developed to determine the optimum mix of logistic service providers of a make-to-order (MTO supply chain. A serial MTO supply chain with different stages/ processes has been considered. For each stage different logistic service providers with different mean processing lead times, but same lead time variances are available. A realistic assumption that for each stage, the logistic service provider who charges more for his service consumes less processing lead time and vice-versa has been made in our study. Thus for each stage, for each service provider, a combination of cost and mean processing lead time is available. Using these combinations, for each stage, a polynomial curve, expressing cost of that stage as a function of mean processing lead time is fit. Cumulating all such expressions of cost for the different stages along with incorporation of suitable constraints arising out of timely delivery, results in the formulation of a constrained nonlinear cost optimization problem. On solving the problem using mathematica, optimum processing lead time for each stage is obtained. Using these optimum processing lead times and by employing a simple technique the optimum logistic service provider mix of the supply chain along with the corresponding total cost of processing is determined. Finally to examine the effect of changes in different parameters on the optimum total processing cost of the supply chain, sensitivity analysis has been carried out graphically.

  8. Combined gene/cell therapies provide long-term and pervasive rescue of multiple pathological symptoms in a murine model of globoid cell leukodystrophy.

    Science.gov (United States)

    Ricca, Alessandra; Rufo, Nicole; Ungari, Silvia; Morena, Francesco; Martino, Sabata; Kulik, Wilem; Alberizzi, Valeria; Bolino, Alessandra; Bianchi, Francesca; Del Carro, Ubaldo; Biffi, Alessandra; Gritti, Angela

    2015-06-15

    Globoid cell leukodystrophy (GLD) is a lysosomal storage disease caused by deficient activity of β-galactocerebrosidase (GALC). The infantile forms manifest with rapid and progressive central and peripheral demyelination, which represent a major hurdle for any treatment approach. We demonstrate here that neonatal lentiviral vector-mediated intracerebral gene therapy (IC GT) or transplantation of GALC-overexpressing neural stem cells (NSC) synergize with bone marrow transplant (BMT) providing dramatic extension of lifespan and global clinical-pathological rescue in a relevant GLD murine model. We show that timely and long-lasting delivery of functional GALC in affected tissues ensured by the exclusive complementary mode of action of the treatments underlies the outstanding benefit. In particular, the contribution of neural stem cell transplantation and IC GT during the early asymptomatic stage of the disease is instrumental to enhance long-term advantage upon BMT. We clarify the input of central nervous system, peripheral nervous system and periphery to the disease, and the relative contribution of treatments to the final therapeutic outcome, with important implications for treatment strategies to be tried in human patients. This study gives proof-of-concept of efficacy, tolerability and clinical relevance of the combined gene/cell therapies proposed here, which may constitute a feasible and effective therapeutic opportunity for children affected by GLD. PMID:25749991

  9. Geração de planos de produção via otimização seqüencial subótima Providing production plans via suboptimal sequential optimization

    Directory of Open Access Journals (Sweden)

    Oscar Salviano Silva Filho

    2007-01-01

    Full Text Available Neste artigo são discutidos aspectos relacionados à tomada de decisão dentro de um processo hierárquico de planejamento da produção. Neste contexto, foi desenvolvido um modelo agregado para um problema de planejamento estocástico, com restrições de chances nas variáveis de decisão, que serve como meta de produção a ser atingida nos níveis inferiores da hierarquia. Solução ótima global para este tipo de problema seqüencial é muito difícil, a menos em casos de pequena dimensão via algoritmo de programação dinâmica estocástica. Assim, como alternativa, investigou-se a utilização de uma heurística subótima denominada open-loop feedback controller (OLFC, que é muito simples de ser implementada computacionalmente. Como exemplo de aplicação, um problema mono-produto de planejamento agregado da produção foi formulado e a política subótima OLFC foi comparada à solução ótima usando o algoritmo de programação dinâmica estocástica. Além dos aspectos numéricos, algumas propriedades são analisadas, como a quase adaptabilidade do procedimento OLFC.In this paper, the need for developing an aggregate production plan within a hierarchical decision process is discussed. A production planning problem formulated as a sequential stochastic optimal control model with chance constraints is introduced. A global optimal solution is only possible in particular cases with a small number of decision variables. As a consequence, near optimal solutions are usually developed and applied to solve sequential stochastic problems. A suboptimal approach, called Open-Loop Feedback Controller (OLFC, is proposed to solve the aggregate stochastic production planning problem. A simple example is used to evaluate the performance of the OLFC solution computationally in relation to the global (closed-loop and mean (open-loop optimal solutions. Quasi-adaptability property of the OLFC procedure is analysed in this example.

  10. Optimal Control

    CERN Document Server

    Vinter, Richard

    2010-01-01

    "Each chapter contains a well-written introduction and notes. They include the author's deep insights on the subject matter and provide historical comments and guidance to related literature. This book may well become an important milestone in the literature of optimal control." --Mathematical Reviews "Thanks to a great effort to be self-contained, [this book] renders accessibly the subject to a wide audience. Therefore, it is recommended to all researchers and professionals interested in Optimal Control and its engineering and economic applications. It can serve as an excellent

  11. Optimized setting for providing etymology information of an English-Chinese dictionary%英汉双语词典提供词源信息的途径及优化设置

    Institute of Scientific and Technical Information of China (English)

    王丽君

    2012-01-01

    词源信息对英语学习者起着很重要的作用,不仅可以帮助记忆词汇还能了解词的演变、历史等。因此,双语词典提供词源信息是必须的。为了让读者更方便地使用双语词典,有必要对词典一些不足的地方进行优化设置。本文筛选了需要添加词源信息的词汇类型并阐述了原因。%Etymology information is very important for the English users.It can help them to remember words and to know the evolution and history of the words.So it is necessary for an English-Chinese dictionary to offer etymology information.In order to let the users use the dictionary more conveniently,the editor need optimize its short comings.This paper selects the word types which need be given etymology information and explains the reason.

  12. Optimistic Agents are Asymptotically Optimal

    OpenAIRE

    Sunehag, Peter; Hutter, Marcus

    2012-01-01

    We use optimism to introduce generic asymptotically optimal reinforcement learning agents. They achieve, with an arbitrary finite or compact class of environments, asymptotically optimal behavior. Furthermore, in the finite deterministic case we provide finite error bounds.

  13. Handbook of optimization in telecommunications

    CERN Document Server

    Pardalos, Panos M

    2008-01-01

    Covers the field of optimization in telecommunications, and the optimization developments that are frequently applied to telecommunications. This book aims to provide a reference tool for scientists and engineers in telecommunications who depend upon optimization.

  14. Therapy Provider Phase Information

    Data.gov (United States)

    U.S. Department of Health & Human Services — The Therapy Provider Phase Information dataset is a tool for providers to search by their National Provider Identifier (NPI) number to determine their phase for...

  15. Optimization techniques in statistics

    CERN Document Server

    Rustagi, Jagdish S

    1994-01-01

    Statistics help guide us to optimal decisions under uncertainty. A large variety of statistical problems are essentially solutions to optimization problems. The mathematical techniques of optimization are fundamentalto statistical theory and practice. In this book, Jagdish Rustagi provides full-spectrum coverage of these methods, ranging from classical optimization and Lagrange multipliers, to numerical techniques using gradients or direct search, to linear, nonlinear, and dynamic programming using the Kuhn-Tucker conditions or the Pontryagin maximal principle. Variational methods and optimiza

  16. Particle Swarm Optimization Toolbox

    Science.gov (United States)

    Grant, Michael J.

    2010-01-01

    The Particle Swarm Optimization Toolbox is a library of evolutionary optimization tools developed in the MATLAB environment. The algorithms contained in the library include a genetic algorithm (GA), a single-objective particle swarm optimizer (SOPSO), and a multi-objective particle swarm optimizer (MOPSO). Development focused on both the SOPSO and MOPSO. A GA was included mainly for comparison purposes, and the particle swarm optimizers appeared to perform better for a wide variety of optimization problems. All algorithms are capable of performing unconstrained and constrained optimization. The particle swarm optimizers are capable of performing single and multi-objective optimization. The SOPSO and MOPSO algorithms are based on swarming theory and bird-flocking patterns to search the trade space for the optimal solution or optimal trade in competing objectives. The MOPSO generates Pareto fronts for objectives that are in competition. A GA, based on Darwin evolutionary theory, is also included in the library. The GA consists of individuals that form a population in the design space. The population mates to form offspring at new locations in the design space. These offspring contain traits from both of the parents. The algorithm is based on this combination of traits from parents to hopefully provide an improved solution than either of the original parents. As the algorithm progresses, individuals that hold these optimal traits will emerge as the optimal solutions. Due to the generic design of all optimization algorithms, each algorithm interfaces with a user-supplied objective function. This function serves as a "black-box" to the optimizers in which the only purpose of this function is to evaluate solutions provided by the optimizers. Hence, the user-supplied function can be numerical simulations, analytical functions, etc., since the specific detail of this function is of no concern to the optimizer. These algorithms were originally developed to support entry

  17. Provide, provide: the economics of aging.

    Science.gov (United States)

    1998-06-26

    Most older persons face two potentially serious economic problems: (a) declining earning power and (b) declining health that can be partly offset by increased utilization of health care. The decline in earning power is largely attributable to physiological changes and to obsolescence of skills and knowledge. These adverse effects are exacerbated by public and private policies that reduce the incentives of older persons to continue work and increase the cost to employers of employing older workers. The problems of earnings replacement and health care payment are usually discussed separately, but there are several reasons why they should be considered together. First, there are often tradeoffs between the two. Money is money, and for most people there is never enough to go around. This is self-evident where private funds are concerned. Low-income elderly, for instance, frequently must choose between expensive prescription drugs and an adequate diet. For middle-income elderly, the choice may be between saving on medigap insurance or forgoing an airplane trip to a grandchild's graduation. Difficult choices are also inherent in the allocation of public funds. The same tax receipts that could be used to maintain or increase retirement benefits could be used to fund additional care, and vice versa. In discussing these tradeoffs, some analysts assert that people will gladly give up other goods and services for medical care that cures illness, relieves pain, or restores function. Others believe that some people would forgo some health insurance in order to maintain access to other goods and services. A second reason for looking at the two problems together is that they pose similar questions for public policy. How much should each generation provide for its own needs in old age, and how much should be provided by the generations that follow? How much provision should be voluntary, how much compulsory? How much intra-generational redistribution is appropriate after age 65

  18. Optimization Library for Interactive Multi-Criteria Optimization Tasks

    OpenAIRE

    Pfeiffer, Andreas

    2012-01-01

    The commercial library Optimization 2.1 for interactive multi-criteria optimization tasks has been released along with Dymola 2013. The library offers several numerical optimization algorithms for solving different kinds of optimization tasks. User defined Modelica functions or models provide the basis for an interactive optimization process where the user keeps overview of complex multi-criteria optimization tasks that can take discrete parameters, several model operating points or trajector...

  19. Integrated controls design optimization

    Science.gov (United States)

    Lou, Xinsheng; Neuschaefer, Carl H.

    2015-09-01

    A control system (207) for optimizing a chemical looping process of a power plant includes an optimizer (420), an income algorithm (230) and a cost algorithm (225) and a chemical looping process models. The process models are used to predict the process outputs from process input variables. Some of the process in puts and output variables are related to the income of the plant; and some others are related to the cost of the plant operations. The income algorithm (230) provides an income input to the optimizer (420) based on a plurality of input parameters (215) of the power plant. The cost algorithm (225) provides a cost input to the optimizer (420) based on a plurality of output parameters (220) of the power plant. The optimizer (420) determines an optimized operating parameter solution based on at least one of the income input and the cost input, and supplies the optimized operating parameter solution to the power plant.

  20. MAX Provider Characteristics

    Data.gov (United States)

    U.S. Department of Health & Human Services — The MAX Provider Characteristics (PC) File Implementation Report describes the design, implementation, and results of the MAXPC prototype, which was based on three...

  1. optimal control

    Directory of Open Access Journals (Sweden)

    L. I. Rozonoer

    1999-01-01

    Full Text Available Necessary and sufficient conditions for existence of optimal control for all initial data are proved for LQ-optimization problem. If these conditions are fulfilled, necessary and sufficient conditions of optimality are formulated. Basing on the results, some general hypotheses on optimal control in terms of Pontryagin's maximum condition and Bellman's equation are proposed.

  2. Provider of Services File

    Data.gov (United States)

    U.S. Department of Health & Human Services — The POS file consists of two data files, one for CLIA labs and one for 18 other provider types. The file names are CLIA and OTHER. If downloading the file, note it...

  3. What HERA may provide?

    Energy Technology Data Exchange (ETDEWEB)

    Jung, Hannes [DESY, Hamburg (Germany); De Roeck, Albert [CERN, Genf (Switzerland); Bartles, Jochen [Univ. Hamburg (DE). Institut fuer Theoretische Physik II] (and others)

    2008-09-15

    More than 100 people participated in a discussion session at the DIS08 workshop on the topic What HERA may provide. A summary of the discussion with a structured outlook and list of desirable measurements and theory calculations is given. (orig.)

  4. The Provident Principal.

    Science.gov (United States)

    McCall, John R.

    This monograph offers leadership approaches for school principals. Discussion applies the business leadership theory of Warren Bennis and Burt Nanus to the role of the principal. Each of the booklet's three parts concludes with discussion questions. Part 1, "Visions and Values for the Provident Principal," demonstrates the importance of…

  5. Achieving Provider Engagement

    Science.gov (United States)

    Greenfield, Geva; Pappas, Yannis; Car, Josip; Majeed, Azeem; Harris, Matthew

    2014-01-01

    The literature on integrated care is limited with respect to practical learning and experience. Although some attention has been paid to organizational processes and structures, not enough is paid to people, relationships, and the importance of these in bringing about integration. Little is known, for example, about provider engagement in the organizational change process, how to obtain and maintain it, and how it is demonstrated in the delivery of integrated care. Based on qualitative data from the evaluation of a large-scale integrated care initiative in London, United Kingdom, we explored the role of provider engagement in effective integration of services. Using thematic analysis, we identified an evolving engagement narrative with three distinct phases: enthusiasm, antipathy, and ambivalence, and argue that health care managers need to be aware of the impact of professional engagement to succeed in advancing the integrated care agenda. PMID:25212855

  6. Providence Their Guide

    Directory of Open Access Journals (Sweden)

    A.D. Naudé

    2012-02-01

    Full Text Available In his preface to this book the author quotes from Milton's Paradise lost, from which the title of this book is derived: 'Som natural tears they drop'd, but wip'd them soon; The World was all before them, where to choose Thir place of rest, and Providence thir guide; They hand in hand, with wand ring steps and slow, Through Eden took thir solitarie way.

  7. Why healthcare providers merge.

    Science.gov (United States)

    Postma, Jeroen; Roos, Anne-Fleur

    2016-04-01

    In many OECD countries, healthcare sectors have become increasingly concentrated as a result of mergers. However, detailed empirical insight into why healthcare providers merge is lacking. Also, we know little about the influence of national healthcare policies on mergers. We fill this gap in the literature by conducting a survey study on mergers among 848 Dutch healthcare executives, of which 35% responded (resulting in a study sample of 239 executives). A total of 65% of the respondents was involved in at least one merger between 2005 and 2012. During this period, Dutch healthcare providers faced a number of policy changes, including increasing competition, more pressure from purchasers, growing financial risks, de-institutionalisation of long-term care and decentralisation of healthcare services to municipalities. Our empirical study shows that healthcare providers predominantly merge to improve the provision of healthcare services and to strengthen their market position. Also efficiency and financial reasons are important drivers of merger activity in healthcare. We find that motives for merger are related to changes in health policies, in particular to the increasing pressure from competitors, insurers and municipalities. PMID:26055501

  8. Optimizing diversity

    CERN Document Server

    Frein, Yannick; Sebo, Andras

    2007-01-01

    We consider the problem of minimizing the size of a family of sets G such that every subset of 1,...,n can be written as a disjoint union of at most k members of G, where k and n are given numbers. This problem originates in a real-world application aiming at the diversity of industrial production. At the same time, the minimum of G so that every subset of 1,...,n is the union of two sets in G has been asked by Erdos and studied recently by Furedi and Katona without requiring the disjointness of the sets. A simple construction providing a feasible solution is conjectured to be optimal for this problem for all values of n and k and regardless of the disjointness requirement; we prove this conjecture in special cases including all (n,k) for which n <= 3k holds, and some individual values of n and k.

  9. Providing Compassion through Flow

    Directory of Open Access Journals (Sweden)

    Lydia Royeen

    2015-07-01

    Full Text Available Meg Kral, MS, OTR/L, CLT, is the cover artist for the Summer 2015 issue of The Open Journal of Occupational Therapy. Her untitled piece of art is an oil painting and is a re-creation of a photograph taken while on vacation. Meg is currently supervisor of outpatient services at Rush University Medical Center. She is lymphedema certified and has a specific interest in breast cancer lymphedema. Art and occupational therapy serve similar purposes for Meg: both provide a sense of flow. She values the outcomes, whether it is a piece of art or improved functional status

  10. The Provident Sea

    Science.gov (United States)

    Cushing, David H.

    1988-09-01

    The Provident Sea describes the history of fish stock management (including whales and seals). The book traces, on the basis of the original scientific material, the history of the management of "the provident sea" up to recent times when problems of over-exploitation have had dramatic effects upon stocks. The need for management arose mainly from the increasing industrialization of capture. Hence the preindustrial fisheries are covered, in particular the old cod fishery on the Grand Bank and the herring fishery in the North Sea, as an essential background to current problems. The origins of fisheries and whaling science are described, as is the development up to 1965 of the science and institution in fisheries, whaling, and sealing. In the sixties and seventies, certain major fishing nations took a heavy harvest of fish stocks using sophisticated and efficient gathering methods. This in turn led to conflict and one consequence was the "Law of the Sea" conference set up to try and resolve these issues.

  11. Dynamic Optimization

    Science.gov (United States)

    Laird, Philip

    1992-01-01

    We distinguish static and dynamic optimization of programs: whereas static optimization modifies a program before runtime and is based only on its syntactical structure, dynamic optimization is based on the statistical properties of the input source and examples of program execution. Explanation-based generalization is a commonly used dynamic optimization method, but its effectiveness as a speedup-learning method is limited, in part because it fails to separate the learning process from the program transformation process. This paper describes a dynamic optimization technique called a learn-optimize cycle that first uses a learning element to uncover predictable patterns in the program execution and then uses an optimization algorithm to map these patterns into beneficial transformations. The technique has been used successfully for dynamic optimization of pure Prolog.

  12. Optimization : insights and applications

    CERN Document Server

    Brinkhuis, Jan

    2005-01-01

    This self-contained textbook is an informal introduction to optimization through the use of numerous illustrations and applications. The focus is on analytically solving optimization problems with a finite number of continuous variables. In addition, the authors provide introductions to classical and modern numerical methods of optimization and to dynamic optimization. The book's overarching point is that most problems may be solved by the direct application of the theorems of Fermat, Lagrange, and Weierstrass. The authors show how the intuition for each of the theoretical results can be s

  13. Introduction to Continuous Optimization

    DEFF Research Database (Denmark)

    Andreasson, Niclas; Evgrafov, Anton; Patriksson, Michael;

    optimal solutions for continuous optimization models. The main part of the mathematical material therefore concerns the analysis and linear algebra that underlie the workings of convexity and duality, and necessary/sufficient local/global optimality conditions for continuous optimization problems. Natural...... algorithms are then developed from these optimality conditions, and their most important convergence characteristics are analyzed. The book answers many more questions of the form “Why?” and “Why not?” than “How?”. We use only elementary mathematics in the development of the book, yet are rigorous throughout....... The book provides lecture, exercise and reading material for a first course on continuous optimization and mathematical programming, geared towards third-year students, and has already been used as such for nearly ten years. The preface to the second edition describes the main changes made since the first...

  14. What HERA May Provide?

    Energy Technology Data Exchange (ETDEWEB)

    Jung, Hannes; /DESY; De Roeck, Albert; /CERN; Bartels, Jochen; /Hamburg U., Inst. Theor. Phys. II; Behnke, Olaf; Blumlein, Johannes; /DESY; Brodsky, Stanley; /SLAC /Durham U., IPPP; Cooper-Sarkar, Amanda; /Oxford U.; Deak, Michal; /DESY; Devenish, Robin; /Oxford U.; Diehl, Markus; /DESY; Gehrmann, Thomas; /Zurich U.; Grindhammer, Guenter; /Munich, Max Planck Inst.; Gustafson, Gosta; /CERN /Lund U., Dept. Theor. Phys.; Khoze, Valery; /Durham U., IPPP; Knutsson, Albert; /DESY; Klein, Max; /Liverpool U.; Krauss, Frank; /Durham U., IPPP; Kutak, Krzysztof; /DESY; Laenen, Eric; /NIKHEF, Amsterdam; Lonnblad, Leif; /Lund U., Dept. Theor. Phys.; Motyka, Leszek; /Hamburg U., Inst. Theor. Phys. II /Birmingham U. /Southern Methodist U. /DESY /Piemonte Orientale U., Novara /CERN /Paris, LPTHE /Hamburg U. /Penn State U.

    2011-11-10

    More than 100 people participated in a discussion session at the DIS08 workshop on the topic What HERA may provide. A summary of the discussion with a structured outlook and list of desirable measurements and theory calculations is given. The HERA accelerator and the HERA experiments H1, HERMES and ZEUS stopped running in the end of June 2007. This was after 15 years of very successful operation since the first collisions in 1992. A total luminosity of {approx} 500 pb{sup -1} has been accumulated by each of the collider experiments H1 and ZEUS. During the years the increasingly better understood and upgraded detectors and HERA accelerator have contributed significantly to this success. The physics program remains in full swing and plenty of new results were presented at DIS08 which are approaching the anticipated final precision, fulfilling and exceeding the physics plans and the previsions of the upgrade program. Most of the analyses presented at DIS08 were still based on the so called HERA I data sample, i.e. data taken until 2000, before the shutdown for the luminosity upgrade. This sample has an integrated luminosity of {approx} 100 pb{sup -1}, and the four times larger statistics sample from HERA II is still in the process of being analyzed.

  15. What HERA May Provide?

    International Nuclear Information System (INIS)

    More than 100 people participated in a discussion session at the DIS08 workshop on the topic What HERA may provide. A summary of the discussion with a structured outlook and list of desirable measurements and theory calculations is given. The HERA accelerator and the HERA experiments H1, HERMES and ZEUS stopped running in the end of June 2007. This was after 15 years of very successful operation since the first collisions in 1992. A total luminosity of ∼ 500 pb-1 has been accumulated by each of the collider experiments H1 and ZEUS. During the years the increasingly better understood and upgraded detectors and HERA accelerator have contributed significantly to this success. The physics program remains in full swing and plenty of new results were presented at DIS08 which are approaching the anticipated final precision, fulfilling and exceeding the physics plans and the previsions of the upgrade program. Most of the analyses presented at DIS08 were still based on the so called HERA I data sample, i.e. data taken until 2000, before the shutdown for the luminosity upgrade. This sample has an integrated luminosity of ∼ 100 pb-1, and the four times larger statistics sample from HERA II is still in the process of being analyzed.

  16. Optimal Strategy in Basketball

    CERN Document Server

    Skinner, Brian

    2015-01-01

    This book chapter reviews some of the major principles associated with optimal strategy in basketball. In particular, we consider the principles of allocative efficiency (optimal allocation of shots between offensive options), dynamic efficiency (optimal shot selection in the face of pressure from the shot clock), and the risk/reward tradeoff (strategic manipulation of outcome variance). For each principle, we provide a simple example of a strategic problem and show how it can be described analytically. We then review general analytical results and provide an overview of existing statistical studies. A number of open challenges in basketball analysis are highlighted.

  17. Nonlinear optimization

    CERN Document Server

    Ruszczynski, Andrzej

    2011-01-01

    Optimization is one of the most important areas of modern applied mathematics, with applications in fields from engineering and economics to finance, statistics, management science, and medicine. While many books have addressed its various aspects, Nonlinear Optimization is the first comprehensive treatment that will allow graduate students and researchers to understand its modern ideas, principles, and methods within a reasonable time, but without sacrificing mathematical precision. Andrzej Ruszczynski, a leading expert in the optimization of nonlinear stochastic systems, integrates t

  18. Website Optimization

    CERN Document Server

    King, Andrew

    2008-01-01

    Remember when an optimized website was one that merely didn't take all day to appear? Times have changed. Today, website optimization can spell the difference between enterprise success and failure, and it takes a lot more know-how to achieve success. This book is a comprehensive guide to the tips, techniques, secrets, standards, and methods of website optimization. From increasing site traffic to maximizing leads, from revving up responsiveness to increasing navigability, from prospect retention to closing more sales, the world of 21st century website optimization is explored, exemplified a

  19. Multiple optimal solutions to a sort of nonlinear optimization problem

    Institute of Scientific and Technical Information of China (English)

    Xue Shengjia

    2007-01-01

    The optimization problem is considered in which the objective function is pseudolinear(both pseudoconvex and pseudoconcave) and the constraints are linear. The general expression for the optimal solutions to the problem is derived with the representation theorem of polyhedral sets, and the uniqueness condition of the optimal solution and the computational procedures to determine all optimal solutions ( ifthe uniqueness condition is not satisfied ) are provided. Finally, an illustrative example is also given.

  20. Optimal control for chemical engineers

    CERN Document Server

    Upreti, Simant Ranjan

    2013-01-01

    Optimal Control for Chemical Engineers gives a detailed treatment of optimal control theory that enables readers to formulate and solve optimal control problems. With a strong emphasis on problem solving, the book provides all the necessary mathematical analyses and derivations of important results, including multiplier theorems and Pontryagin's principle.The text begins by introducing various examples of optimal control, such as batch distillation and chemotherapy, and the basic concepts of optimal control, including functionals and differentials. It then analyzes the notion of optimality, de

  1. Hybrid Batch Bayesian Optimization

    CERN Document Server

    Azimi, Javad; Fern, Xiaoli

    2012-01-01

    Bayesian Optimization aims at optimizing an unknown non-convex/concave function that is costly to evaluate. We are interested in application scenarios where concurrent function evaluations are possible. Under such a setting, BO could choose to either sequentially evaluate the function, one input at a time and wait for the output of the function before making the next selection, or evaluate the function at a batch of multiple inputs at once. These two different settings are commonly referred to as the sequential and batch settings of Bayesian Optimization. In general, the sequential setting leads to better optimization performance as each function evaluation is selected with more information, whereas the batch setting has an advantage in terms of the total experimental time (the number of iterations). In this work, our goal is to combine the strength of both settings. Specifically, we systematically analyze Bayesian optimization using Gaussian process as the posterior estimator and provide a hybrid algorithm t...

  2. Optimal periodic control

    CERN Document Server

    Colonius, Fritz

    1988-01-01

    This research monograph deals with optimal periodic control problems for systems governed by ordinary and functional differential equations of retarded type. Particular attention is given to the problem of local properness, i.e. whether system performance can be improved by introducing periodic motions. Using either Ekeland's Variational Principle or optimization theory in Banach spaces, necessary optimality conditions are proved. In particular, complete proofs of second-order conditions are included and the result is used for various versions of the optimal periodic control problem. Furthermore a scenario for local properness (related to Hopf bifurcation) is drawn up, giving hints as to where to look for optimal periodic solutions. The book provides mathematically rigorous proofs for results which are potentially of importance in chemical engineering and aerospace engineering.

  3. SAGD optimization under uncertainty

    Energy Technology Data Exchange (ETDEWEB)

    Gossuin, J.; Naccache, P. [Schlumberger SIS, Abingdon (United Kingdom); Bailley, W.; Couet, B. [Schlumberger-Doll Research, Cambridge, MA, (United States)

    2011-07-01

    In the heavy oil industry, the steam assisted gravity drainage process is often used to enhance oil recovery but this is a costly method and ways to make it more efficient are needed. Multiple methods have been developed to optimize the SAGD process but none of them explicitly considered uncertainty. This paper presents an optimization method in the presence of reservoir uncertainty. This process was tested on an SAGD model where three equi-probable geological models are possible. Preparatory steps were first performed to identify key variables and the optimization model was then proposed. The method was shown to be successful in handling a significant number of uncertainties, optimizing the SAGD process and preventing premature steam channels that can choke production. The optimization method presented herein was successfully applied to an SAGD process and was shown to provide better strategies than sensitivity analysis while handling more complex problems.

  4. Competition of Wireless Providers for Atomic Users

    CERN Document Server

    Gajić, Vojislav; Rimoldi, Bixio

    2010-01-01

    We study a problem where wireless service providers compete for heterogenous wireless users. The users differ in their utility functions as well as in the perceived quality of service of individual providers. We model the interaction of an arbitrary number of providers and users as a two-stage multi-leader-follower game. We prove existence and uniqueness of the subgame perfect Nash equilibrium for a generic channel model and a wide class of users' utility functions. We show that the competition of resource providers leads to a globally optimal outcome under mild technical conditions. Most users will purchase the resource from only one provider at the unique subgame perfect equilibrium. The number of users who connect to multiple providers at the equilibrium is always smaller than the number of providers. We also present a decentralized algorithm that globally converges to the unique system equilibrium with only local information under mild conditions on the update rates.

  5. Metacognitive Control and Optimal Learning

    OpenAIRE

    Son, Lisa K.; Rajiv Sethi

    2006-01-01

    The notion of optimality is often invoked informally in the literature on metacognitive control. We provide a precise formulation of the optimization problem and show that optimal time allocation strategies depend critically on certain characteristics of the learning environment, such as the extent of time pressure, and the nature of the uptake function. When the learning curve is concave, optimality requires that items at lower levels of initial competence be allocated greater time. On the o...

  6. Optimality Conditions in Vector Optimization

    CERN Document Server

    Jiménez, Manuel Arana; Lizana, Antonio Rufián

    2011-01-01

    Vector optimization is continuously needed in several science fields, particularly in economy, business, engineering, physics and mathematics. The evolution of these fields depends, in part, on the improvements in vector optimization in mathematical programming. The aim of this Ebook is to present the latest developments in vector optimization. The contributions have been written by some of the most eminent researchers in this field of mathematical programming. The Ebook is considered essential for researchers and students in this field.

  7. Medicinsk Optimering

    DEFF Research Database (Denmark)

    Birkholm, Klavs

    2010-01-01

    En undersøgelse af anvendelsen af medicin til optimering af koncentration, hukommelse og følelsestonus. Efterfulgt af etiske overvejelser og anbefalinger til det politiske system......En undersøgelse af anvendelsen af medicin til optimering af koncentration, hukommelse og følelsestonus. Efterfulgt af etiske overvejelser og anbefalinger til det politiske system...

  8. Simulation-based optimization parametric optimization techniques and reinforcement learning

    CERN Document Server

    Gosavi, Abhijit

    2003-01-01

    Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning introduces the evolving area of simulation-based optimization. The book's objective is two-fold: (1) It examines the mathematical governing principles of simulation-based optimization, thereby providing the reader with the ability to model relevant real-life problems using these techniques. (2) It outlines the computational technology underlying these methods. Taken together these two aspects demonstrate that the mathematical and computational methods discussed in this book do work. Broadly speaking, the book has two parts: (1) parametric (static) optimization and (2) control (dynamic) optimization. Some of the book's special features are: *An accessible introduction to reinforcement learning and parametric-optimization techniques. *A step-by-step description of several algorithms of simulation-based optimization. *A clear and simple introduction to the methodology of neural networks. *A gentle introduction to converg...

  9. Optimization Coaching for JavaScript (Artifact)

    OpenAIRE

    St-Amour, Vincent; Guo, Shu-Yu

    2015-01-01

    This artifact is based on our prototype optimization coach for the SpiderMonkey (https://developer.mozilla.org/en-US/docs/Mozilla/Projects/SpiderMonkey) JavaScript engine. An optimization coach is a performance tool that aims to provide programmers with insight into how their compiler optimizes their programs and to help them better harness the optimization process. It does so by reporting optimization near misses, i.e., reports of optimizations that the compiler did not apply, but could appl...

  10. Portfolio Optimization

    OpenAIRE

    Issagali, Aizhan; Alshimbayeva, Damira; Zhalgas, Aidana

    2015-01-01

    In this paper Portfolio Optimization techniques were used to determine the most favorable investment portfolio. In particular, stock indices of three companies, namely Microsoft Corporation, Christian Dior Fashion House and Shevron Corporation were evaluated. Using this data the amounts invested in each asset when a portfolio is chosen on the efficient frontier were calculated. In addition, the Portfolio with minimum variance, tangency portfolio and optimal Markowitz portfolio are presented.

  11. Analysis of Cost Optimization of Emergency Logistics for Foods Provided for Emergent Huge Disasters-Hit Areas%浅析大型突发灾害性事件下食品应急物流的成本优化

    Institute of Scientific and Technical Information of China (English)

    倪星; 李鸣烨; 杨立刚; 邓颖婷; 陆琮明

    2014-01-01

    As it is primarily for emergency logistics for food to provide disaster areas with continuous supply of food, plans of optimizing costs focus on timeliness. The plan is developed by analyzing four components of costs, including collection, storage, distribution and man-agement. Cost reduction for the food collection highlights amount and category of food, and cutting down costs of procurement, optimization of cost for food storage focuses on the inventory structure by using the grouping method of ABC, food distribution gives attention to order of materials distributed, routes, size and distributors, and management cost can by reduced by creating a major incident management and in-formation platform and improving emergency responding system.%食品应急物流活动的首要目标是在最短的时间内对事发地进行持续的应急食品供应,对成本优化的所有方案均着重于对时效性的考虑。通过分析食品筹集、仓储、配送、管理四个方面的成本构成要素,相应的成本优化方案是:筹集成本的优化主要考虑食品的种类及数量、政府采购成本的缩减;仓储成本的优化主要考虑采用“ABC分类法”优化库存结构;配送成本的优化主要考虑物资的配送顺序、配送路线和规模、物流主体的有机结合;管理成本的优化主要考虑健全的重大事件管理体系和信息指挥平台的建立以及应急机制的完善。

  12. Internet Provider Facilities, Published in Not Provided, US Army.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Internet Provider Facilities dataset as of Not Provided. Data by this publisher are often provided in Not Applicable coordinate system; in a Not Applicable...

  13. Unconstrained Optimization

    DEFF Research Database (Denmark)

    Frandsen, P. E.; Jonasson, K.; Nielsen, Hans Bruun;

    1999-01-01

    This lecture note is intended for use in the course 04212 Optimization and Data Fitting at the Technincal University of Denmark. It covers about 25% of the curriculum. Hopefully, the note may be useful also to interested persons not participating in that course. The aim of the note is to give an...... introduction to algorithms for unconstrained optimization. We present Conjugate Gradient, Damped Newton and Quasi Newton methods together with the relevant theoretical background. The reader is assumed to be familiar with algorithms for solving linear and nonlinear system of equations, at a level corresponding...

  14. Optimization of well field management

    DEFF Research Database (Denmark)

    Hansen, Annette Kirstine

    for optimizing well field man- agement using multi-objective optimization is developed. The optimization uses the Strength Pareto Evolutionary Algorithm 2 (SPEA2) to find the Pareto front be- tween the conflicting objectives. The Pareto front is a set of non-inferior optimal points and provides an important tool...... are to minimize the amount of infiltration, and to minimize the risk of getting contaminated water into the production wells. The optimization problem is subjected to a daily demand fulfilment constraint. Constant and sequential scheduling optimization is performed on the Hardhof case. The constant scheduling...... objectives. The sequential scheduling optimizes the management stepwise for daily time steps, and allows the final management to vary in time. The research shows that this method performs better than the constant scheduling when large variations in the hydrological conditions occur. This novel approach can...

  15. Optimal transport

    CERN Document Server

    Eckmann, B

    2008-01-01

    At the close of the 1980s, the independent contributions of Yann Brenier, Mike Cullen and John Mather launched a revolution in the venerable field of optimal transport founded by G Monge in the 18th century, which has made breathtaking forays into various other domains of mathematics ever since. The author presents a broad overview of this area.

  16. Topology optimization

    DEFF Research Database (Denmark)

    Bendsøe, Martin P.; Sigmund, Ole

    2007-01-01

    Taking as a starting point a design case for a compliant mechanism (a force inverter), the fundamental elements of topology optimization are described. The basis for the developments is a FEM format for this design problem and emphasis is given to the parameterization of design as a raster image...

  17. Regularizing portfolio optimization

    Science.gov (United States)

    Still, Susanne; Kondor, Imre

    2010-07-01

    The optimization of large portfolios displays an inherent instability due to estimation error. This poses a fundamental problem, because solutions that are not stable under sample fluctuations may look optimal for a given sample, but are, in effect, very far from optimal with respect to the average risk. In this paper, we approach the problem from the point of view of statistical learning theory. The occurrence of the instability is intimately related to over-fitting, which can be avoided using known regularization methods. We show how regularized portfolio optimization with the expected shortfall as a risk measure is related to support vector regression. The budget constraint dictates a modification. We present the resulting optimization problem and discuss the solution. The L2 norm of the weight vector is used as a regularizer, which corresponds to a diversification 'pressure'. This means that diversification, besides counteracting downward fluctuations in some assets by upward fluctuations in others, is also crucial because it improves the stability of the solution. The approach we provide here allows for the simultaneous treatment of optimization and diversification in one framework that enables the investor to trade off between the two, depending on the size of the available dataset.

  18. Optimizing clozapine treatment

    DEFF Research Database (Denmark)

    Damkier, P; Lublin, H; Taylor, D;

    2011-01-01

    Clozapine treatment remains the gold standard for treatment-resistant schizophrenia, but treatment with clozapine is associated with several side-effects that complicate the use of the drug. This clinical overview aims to provide psychiatrists with knowledge about how to optimize clozapine...

  19. Querying Data Providing Web Services

    OpenAIRE

    Sabesan, Manivasakan

    2010-01-01

    Web services are often used for search computing where data is retrieved from servers providing information of different kinds. Such data providing web services return a set of objects for a given set of parameters without any side effects. There is need to enable general and scalable search capabilities of data from data providing web services, which is the topic of this Thesis. The Web Service MEDiator (WSMED) system automatically provides relational views of any data providing web service ...

  20. Nature-inspired optimization algorithms

    CERN Document Server

    Yang, Xin-She

    2014-01-01

    Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspired algorithms for optimization. The book's unified approach, balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with well-chosen case studies to illustrate how these algorithms work. Topics include particle swarm optimization, ant and bee algorithms, simulated annealing, cuckoo search, firefly algorithm, bat algorithm, flower algorithm, harmony search, algorithm analysis, constraint handling, hybrid methods, parameter tuning

  1. Teaching antenatal counseling skills to neonatal providers.

    Science.gov (United States)

    Stokes, Theophil A; Watson, Katie L; Boss, Renee D

    2014-02-01

    Counseling a family confronted with the birth of a periviable neonate is one of the most difficult tasks that a neonatologist must perform. The neonatologist's goal is to facilitate an informed, collaborative decision about whether life-sustaining therapies are in the best interest of this baby. Neonatologists are trained to provide families with a detailed account of the morbidity and mortality data they believe are necessary to facilitate a truly informed decision. Yet these complicated and intensely emotional conversations require advanced communication and counseling skills that our current fellowship-training strategies are not adequately providing. We review educational models for training neonatology fellows to provide antenatal counseling at the threshold of viability. We believe that training aimed at teaching these skills should be incorporated into the neonatal-perinatal medicine fellowship. The optimal approaches for teaching these skills remain uncertain, and there is a need for continued innovation and outcomes-based research.

  2. Wind farm design optimization

    Energy Technology Data Exchange (ETDEWEB)

    Carreau, Michel; Morgenroth, Michael; Belashov, Oleg; Mdimagh, Asma; Hertz, Alain; Marcotte, Odile

    2010-09-15

    Innovative numerical computer tools have been developed to streamline the estimation, the design process and to optimize the Wind Farm Design with respect to the overall return on investment. The optimization engine can find the collector system layout automatically which provide a powerful tool to quickly study various alternative taking into account more precisely various constraints or factors that previously would have been too costly to analyze in details with precision. Our Wind Farm Tools have evolved through numerous projects and created value for our clients yielding Wind Farm projects with projected higher returns.

  3. An introduction to optimization

    CERN Document Server

    Chong, Edwin K P

    2013-01-01

    Praise for the Third Edition "". . . guides and leads the reader through the learning path . . . [e]xamples are stated very clearly and the results are presented with attention to detail.""  -MAA Reviews  Fully updated to reflect new developments in the field, the Fourth Edition of Introduction to Optimization fills the need for accessible treatment of optimization theory and methods with an emphasis on engineering design. Basic definitions and notations are provided in addition to the related fundamental background for linear algebra, geometry, and calculus.  This new

  4. Optimal market making

    OpenAIRE

    Guéant, Olivier

    2016-01-01

    Market makers provide liquidity to other market participants: they propose prices at which they stand ready to buy and sell a wide variety of assets. They face a complex optimization problem with both static and dynamic components. They need indeed to propose bid and offer/ask prices in an optimal way for making money out of the difference between these two prices (their bid-ask spread). Since they seldom buy and sell simultaneously, and therefore hold long or short inventories, they also nee...

  5. OPTIMIZATION OF GRID RESOURCE SCHEDULING USING PARTICLE SWARM OPTIMIZATION ALGORITHM

    Directory of Open Access Journals (Sweden)

    S. Selvakrishnan

    2010-10-01

    Full Text Available Job allocation process is one of the big issues in grid environment and it is one of the research areas in Grid Computing. Hence a new area of research is developed to design optimal methods. It focuses on new heuristic techniques that provide an optimal or near optimal solution for large grids. By learning grid resource scheduling and PSO (Particle Swarm Optimization algorithm, this proposed scheduler allocates an application to a host from a pool of available hosts and applications by selecting the best match. PSO-based algorithm is more effective in grid resources scheduling with the favor of reducing the executing time and completing time.

  6. Quantum Optimization

    CERN Document Server

    Hogg, T; Hogg, Tad; Portnov, Dmitriy

    2000-01-01

    We present a quantum algorithm for combinatorial optimization using the cost structure of the search states. Its behavior is illustrated for overconstrained satisfiability and asymmetric traveling salesman problems. Simulations with randomly generated problem instances show each step of the algorithm shifts amplitude preferentially towards lower cost states, thereby concentrating amplitudes into low-cost states, on average. These results are compared with conventional heuristics for these problems.

  7. Optimal learning

    CERN Document Server

    Powell, Warren B

    2012-01-01

    Learn the science of collecting information to make effective decisions Everyday decisions are made without the benefit of accurate information. Optimal Learning develops the needed principles for gathering information to make decisions, especially when collecting information is time-consuming and expensive. Designed for readers with an elementary background in probability and statistics, the book presents effective and practical policies illustrated in a wide range of applications, from energy, homeland security, and transportation to engineering, health, and business. This book covers the

  8. Choosing Your Prenatal Care Provider

    Science.gov (United States)

    ... care provider is. These kinds of providers can take care of you during pregnancy and deliver your baby: ... doctor who has special education and training to take care of pregnant women and deliver babies. About 8 ...

  9. GrassmannOptim: An R Package for Grassmann Manifold Optimization

    Directory of Open Access Journals (Sweden)

    Ko Placid Adragni

    2012-07-01

    Full Text Available The optimization of a real-valued objective function f(U, where U is a p X d,p > d, semi-orthogonal matrix such that UTU=Id, and f is invariant under right orthogonal transformation of U, is often referred to as a Grassmann manifold optimization. Manifold optimization appears in a wide variety of computational problems in the applied sciences. In this article, we present GrassmannOptim, an R package for Grassmann manifold optimization. The implementation uses gradient-based algorithms and embeds a stochastic gradient method for global search. We describe the algorithms, provide some illustrative examples on the relevance of manifold optimization and finally, show some practical usages of the package.

  10. Reverse Osmosis Optimization

    Energy Technology Data Exchange (ETDEWEB)

    McMordie Stoughton, Kate; Duan, Xiaoli; Wendel, Emily M.

    2013-08-26

    This technology evaluation was prepared by Pacific Northwest National Laboratory on behalf of the U.S. Department of Energy’s Federal Energy Management Program (FEMP). ¬The technology evaluation assesses techniques for optimizing reverse osmosis (RO) systems to increase RO system performance and water efficiency. This evaluation provides a general description of RO systems, the influence of RO systems on water use, and key areas where RO systems can be optimized to reduce water and energy consumption. The evaluation is intended to help facility managers at Federal sites understand the basic concepts of the RO process and system optimization options, enabling them to make informed decisions during the system design process for either new projects or recommissioning of existing equipment. This evaluation is focused on commercial-sized RO systems generally treating more than 80 gallons per hour.¬

  11. Reverse Osmosis Optimization

    Energy Technology Data Exchange (ETDEWEB)

    None

    2013-08-01

    This technology evaluation was prepared by Pacific Northwest National Laboratory on behalf of the U.S. Department of Energy’s Federal Energy Management Program (FEMP). The technology evaluation assesses techniques for optimizing reverse osmosis (RO) systems to increase RO system performance and water efficiency. This evaluation provides a general description of RO systems, the influence of RO systems on water use, and key areas where RO systems can be optimized to reduce water and energy consumption. The evaluation is intended to help facility managers at Federal sites understand the basic concepts of the RO process and system optimization options, enabling them to make informed decisions during the system design process for either new projects or recommissioning of existing equipment. This evaluation is focused on commercial-sized RO systems generally treating more than 80 gallons per hour.

  12. Manufacturing tolerant topology optimization

    DEFF Research Database (Denmark)

    Sigmund, Ole

    2009-01-01

    In this paper we present an extension of the topology optimization method to include uncertainties during the fabrication of macro, micro and nano structures. More specifically, we consider devices that are manufactured using processes which may result in (uniformly) too thin (eroded) or too thick...... (dilated) structures compared to the intended topology. Examples are MEMS devices manufactured using etching processes, nano-devices manufactured using e-beam lithography or laser micro-machining and macro structures manufactured using milling processes. In the suggested robust topology optimization...... that the method provides manufacturing tolerant designs with little decrease in performance. As a positive side effect the robust design formulation also eliminates the longstanding problem of one-node connected hinges in compliant mechanism design using topology optimization....

  13. Optimization of Metronidazole Emulgel

    Directory of Open Access Journals (Sweden)

    Monica Rao

    2013-01-01

    Full Text Available The purpose of the present study was to develop and optimize the emulgel system for MTZ (Metronidazole, a poorly water soluble drug. The pseudoternary phase diagrams were developed for various microemulsion formulations composed of Capmul 908 P, Acconon MC8-2, and propylene glycol. The emulgel was optimized using a three-factor, two-level factorial design, the independent variables selected were Capmul 908 P, and surfactant mixture (Acconon MC8-2 and gelling agent, and the dependent variables (responses were a cumulative amount of drug permeated across the dialysis membrane in 24 h ( and spreadability (. Mathematical equations and response surface plots were used to relate the dependent and independent variables. The regression equations were generated for responses and . The statistical validity of the polynomials was established, and optimized formulation factors were selected. Validation of the optimization study with 3 confirmatory runs indicated a high degree of prognostic ability of response surface methodology. Emulgel system of MTZ was developed and optimized using 23 factorial design and could provide an effective treatment against topical infections.

  14. Discrete optimization

    CERN Document Server

    Parker, R Gary

    1988-01-01

    This book treats the fundamental issues and algorithmic strategies emerging as the core of the discipline of discrete optimization in a comprehensive and rigorous fashion. Following an introductory chapter on computational complexity, the basic algorithmic results for the two major models of polynomial algorithms are introduced--models using matroids and linear programming. Further chapters treat the major non-polynomial algorithms: branch-and-bound and cutting planes. The text concludes with a chapter on heuristic algorithms.Several appendixes are included which review the fundamental ideas o

  15. Combinatorial Optimization

    CERN Document Server

    Chvátal, V

    2011-01-01

    This book is a collection of six articles arising from the meeting of the NATO Advanced Study Institute (ASI) "Combinatorial Optimization: Methods and Applications," which was held at the University of Montreal in June 2006. This ASI consisted of seven series of five one-hour lectures and one series of four one-hour lectures. It was attended by some sixty students of graduate or postdoctoral level from fifteen countries worldwide. It includes topics such as: integer and mixed integer programming, facility location, branching on split disjunctions, convexity in combinatorial optimizat

  16. Performing aggressive code optimization with an ability to rollback changes made by the aggressive optimizations

    Science.gov (United States)

    Gschwind, Michael K

    2013-07-23

    Mechanisms for aggressively optimizing computer code are provided. With these mechanisms, a compiler determines an optimization to apply to a portion of source code and determines if the optimization as applied to the portion of source code will result in unsafe optimized code that introduces a new source of exceptions being generated by the optimized code. In response to a determination that the optimization is an unsafe optimization, the compiler generates an aggressively compiled code version, in which the unsafe optimization is applied, and a conservatively compiled code version in which the unsafe optimization is not applied. The compiler stores both versions and provides them for execution. Mechanisms are provided for switching between these versions during execution in the event of a failure of the aggressively compiled code version. Moreover, predictive mechanisms are provided for predicting whether such a failure is likely.

  17. Babesiosis for Health Care Providers

    Centers for Disease Control (CDC) Podcasts

    2012-04-25

    This podcast will educate health care providers on diagnosing babesiosis and providing patients at risk with tick bite prevention messages.  Created: 4/25/2012 by Center for Global Health, Division of Parasitic Diseases and Malaria.   Date Released: 4/25/2012.

  18. Measuring the Optimality of Hadoop Optimization

    OpenAIRE

    Kim, Woo-Cheol; Baek, Changryong; Lee, Dongwon

    2013-01-01

    In recent years, much research has focused on how to optimize Hadoop jobs. Their approaches are diverse, ranging from improving HDFS and Hadoop job scheduler to optimizing parameters in Hadoop configurations. Despite their success in improving the performance of Hadoop jobs, however, very little is known about the limit of their optimization performance. That is, how optimal is a given Hadoop optimization? When a Hadoop optimization method X improves the performance of a job by Y %, how do we...

  19. Optimal exploration systems

    Science.gov (United States)

    Klesh, Andrew T.

    This dissertation studies optimal exploration, defined as the collection of information about given objects of interest by a mobile agent (the explorer) using imperfect sensors. The key aspects of exploration are kinematics (which determine how the explorer moves in response to steering commands), energetics (which determine how much energy is consumed by motion and maneuvers), informatics (which determine the rate at which information is collected) and estimation (which determines the states of the objects). These aspects are coupled by the steering decisions of the explorer. We seek to improve exploration by finding trade-offs amongst these couplings and the components of exploration: the Mission, the Path and the Agent. A comprehensive model of exploration is presented that, on one hand, accounts for these couplings and on the other hand is simple enough to allow analysis. This model is utilized to pose and solve several exploration problems where an objective function is to be minimized. Specific functions to be considered are the mission duration and the total energy. These exploration problems are formulated as optimal control problems and necessary conditions for optimality are obtained in the form of two-point boundary value problems. An analysis of these problems reveals characteristics of optimal exploration paths. Several regimes are identified for the optimal paths including the Watchtower, Solar and Drag regime, and several non-dimensional parameters are derived that determine the appropriate regime of travel. The so-called Power Ratio is shown to predict the qualitative features of the optimal paths, provide a metric to evaluate an aircrafts design and determine an aircrafts capability for flying perpetually. Optimal exploration system drivers are identified that provide perspective as to the importance of these various regimes of flight. A bank-to-turn solar-powered aircraft flying at constant altitude on Mars is used as a specific platform for

  20. TERRAIN, PROVIDENCE COUNTY, RHODE ISLAND

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — The Providence AOI consists of the costal portion of the county, and meshes up seamlessly with the Kent county AOI directly south. Ground Control is collected...

  1. Types of health care providers

    Science.gov (United States)

    Physicians; Nurses; Health care providers; Doctors; Pharmacists ... with a Doctor of Medicine (MD) or a Doctor of Osteopathic Medicine (DO). NURSING CARE Registered nurses (RNs) have graduated from a nursing program, have ...

  2. Medicare Referring Provider DMEPOS PUF

    Data.gov (United States)

    U.S. Department of Health & Human Services — This dataset, which is part of CMSs Medicare Provider Utilization and Payment Data, details information on Durable Medical Equipment, Prosthetics, Orthotics and...

  3. Optimal produktion

    Directory of Open Access Journals (Sweden)

    Öje Danell

    1999-04-01

    Full Text Available Optimal Production in Reindeer Husbandry.There are three ways to optimize the reindeer herd: 1 Adjusting the reindeer number to pasture resources. 2 Keeping as many productive animals in the herd as possible through slaughter. 3 Increasing the herd quality through selection.Renhjorden bör optimeras så att den fungerar som en "skördeapparat" for bete och lämnar största möjliga bidrag till försörjningen för dem som lever av renskötsel. Det finns minst tre sätt att optimera renhjorden, nämligen (1 anpassning av djurantalet till betesresurserna så att djurens kondition och därmed produktiviteten kan bibehållas på hög nivå, (2 utforma renhjordens struktur med hjalp av slaktuttaget så att den innehåller så stor andel produktiva djur som möjligt, och (3 förbättra djurmaterialets produktionsmässiga kvalitet genom urval baserat på registrerad produktion. Betesanpassningen är den mest grundläggande åtgärden och ger den snabbaste effekten. Även hjordstrukturering är en åtgärd som ger relativt snabb effekt och som dessutom kan beslutas och utforas av den enskilde djuraägaren utan att störa den kollektiva renskötseln. Urval är en åtgärd som ger effekt först på längre sikt och därför kräver en konsekvent insats under en längre tid.

  4. SYSTEM ORGANIZATION OF MATERIAL PROVIDING OF BUILDING

    Directory of Open Access Journals (Sweden)

    A. V. Rаdkеvich

    2014-04-01

    Full Text Available Purpose. Development of scientific-methodical bases to the design of rational management of material streams in the field of building providing taking into account intersystem connections with the enterprises of building industry. Methodology. The analysis of last few years of functioning of building industry in Ukraine allows distinguishing a number of problems that negatively influence the steady development of building, as the component of the state economics system. Therefore the research of existent organization methods of the system of building objects providing with material resources is extremely necessary. In connection with this the article justifies the use of method of hierarchies analysis (Saati method for finding the optimal task solution of fixing the enterprises of building industry after building objects. Findings. Results give an opportunity to guidance of building organization to estimate and choose advantageous suppliers - enterprises of building industry, to conduct their rating, estimation taking into account basic descriptions, such as: quality, price, reliability of deliveries, specialization, financial status etc. Originality. On the basis of Saati method the methodologies of organization are improved, planning and managements of the reliable system of providing of building necessary material resources that meet the technological requirements of implementation of building and installation works. Practical value. Contribution to the decisions of many intricate organizational problems that are accompanied by the problems of development of building, provided due to organization of the reliable system of purchase of material resources.

  5. [SIAM conference on optimization

    Energy Technology Data Exchange (ETDEWEB)

    1992-05-10

    Abstracts are presented of 63 papers on the following topics: large-scale optimization, interior-point methods, algorithms for optimization, problems in control, network optimization methods, and parallel algorithms for optimization problems.

  6. Ecosystem services provided by waterbirds.

    Science.gov (United States)

    Green, Andy J; Elmberg, Johan

    2014-02-01

    Ecosystem services are ecosystem processes that directly or indirectly benefit human well-being. There has been much recent literature identifying different services and the communities and species that provide them. This is a vital first step towards management and maintenance of these services. In this review, we specifically address the waterbirds, which play key functional roles in many aquatic ecosystems, including as predators, herbivores and vectors of seeds, invertebrates and nutrients, although these roles have often been overlooked. Waterbirds can maintain the diversity of other organisms, control pests, be effective bioindicators of ecological conditions, and act as sentinels of potential disease outbreaks. They also provide important provisioning (meat, feathers, eggs, etc.) and cultural services to both indigenous and westernized societies. We identify key gaps in the understanding of ecosystem services provided by waterbirds and areas for future research required to clarify their functional role in ecosystems and the services they provide. We consider how the economic value of these services could be calculated, giving some examples. Such valuation will provide powerful arguments for waterbird conservation. PMID:23786594

  7. Ecosystem services provided by waterbirds.

    Science.gov (United States)

    Green, Andy J; Elmberg, Johan

    2014-02-01

    Ecosystem services are ecosystem processes that directly or indirectly benefit human well-being. There has been much recent literature identifying different services and the communities and species that provide them. This is a vital first step towards management and maintenance of these services. In this review, we specifically address the waterbirds, which play key functional roles in many aquatic ecosystems, including as predators, herbivores and vectors of seeds, invertebrates and nutrients, although these roles have often been overlooked. Waterbirds can maintain the diversity of other organisms, control pests, be effective bioindicators of ecological conditions, and act as sentinels of potential disease outbreaks. They also provide important provisioning (meat, feathers, eggs, etc.) and cultural services to both indigenous and westernized societies. We identify key gaps in the understanding of ecosystem services provided by waterbirds and areas for future research required to clarify their functional role in ecosystems and the services they provide. We consider how the economic value of these services could be calculated, giving some examples. Such valuation will provide powerful arguments for waterbird conservation.

  8. Enstore with Chimera namespace provider

    International Nuclear Information System (INIS)

    Enstore is a mass storage system developed by Fermilab that provides distributed access and management of data stored on tapes. It uses a namespace service, PNFS, developed by DESY to provide a filesystem-like view of the stored data. PNFS is a legacy product and is being replaced by a new implementation, called Chimera, which is also developed by DESY. Chimera offers multiple advantages over PNFS in terms of performance and functionality. The Enstore client component, encp, has been modified to work with Chimera, as well as with any other namespace provider. We performed high load end-to-end acceptance test of Enstore with the Chimera namespace. This paper describes the modifications to Enstore, the test procedure and the results of the acceptance testing.

  9. Complex System Optimization Using Biogeography-Based Optimization

    Directory of Open Access Journals (Sweden)

    Dawei Du

    2013-01-01

    Full Text Available Complex systems are frequently found in modern industry. But with their multisubsystems, multiobjectives, and multiconstraints, the optimization of complex systems is extremely hard. In this paper, a new algorithm adapted from biogeography-based optimization (BBO is introduced for complex system optimization. BBO/Complex is the combination of BBO with a multiobjective ranking system, an innovative migration approach, and effective diversity control. Based on comparisons with three complex system optimization algorithms (multidisciplinary feasible (MDF, individual discipline feasible (IDF, and collaborative optimization (CO on four real-world benchmark problems, BBO/Complex demonstrates competitive performance. BBO/Complex provides the best performance in three of the benchmark problems and the second best in the fourth problem.

  10. Constructing optimal entanglement witnesses

    Science.gov (United States)

    Chruściński, Dariusz; Pytel, Justyna; Sarbicki, Gniewomir

    2009-12-01

    We provide a class of indecomposable entanglement witnesses. In 4×4 case, it reproduces the well-known Breuer-Hall witness. We prove that these witnesses are optimal and atomic, i.e., they are able to detect the “weakest” quantum entanglement encoded into states with positive partial transposition. Equivalently, we provide a construction of indecomposable atomic maps in the algebra of 2k×2k complex matrices. It is shown that their structural physical approximations give rise to entanglement breaking channels. This result supports recent conjecture by Korbicz [Phys. Rev. A 78, 062105 (2008)].

  11. Manufacturing tolerant topology optimization

    Institute of Scientific and Technical Information of China (English)

    Ole Sigmund

    2009-01-01

    In this paper we present an extension of the topology optimization method to include uncertainties during the fabrication of macro, micro and nano structures. More specifically, we consider devices that are manufactured using processes which may result in (uniformly) too thin (eroded)or too thick (dilated) structures compared to the intended topology. Examples are MEMS devices manufactured using etching processes, nano-devices manufactured using e-beam lithography or laser micro-machining and macro structures manufactured using milling processes. In the suggested robust topology optimization approach, under- and over-etching is modelled by image processing-based "erode" and "dilate" operators and the optimization problem is formulated as a worst case design problem. Applications of the method to the design of macro structures for minimum compliance and micro compliant mechanisms show that the method provides manufacturing tolerant designs with little decrease in performance. As a positive side effect the robust design formulation also eliminates the longstanding problem of one-node connected hinges in compliant mechanism design using topology optimization.

  12. Duality in optimization and variational inequalities

    CERN Document Server

    Goh, Cj

    2001-01-01

    This comprehensive volume covers a wide range of duality topics ranging from simple ideas in network flows to complex issues in non-convex optimization and multicriteria problems. In addition, it examines duality in the context of variational inequalities and vector variational inequalities, as generalizations to optimization. Duality in Optimization and Variational Inequalities is intended for researchers and practitioners of optimization with the aim of enhancing their understanding of duality. It provides a wider appreciation of optimality conditions in various scenarios and under different assumptions. It will enable the reader to use duality to devise more effective computational methods, and to aid more meaningful interpretation of optimization and variational inequality problems.

  13. Knudsen Gas Provides Nanobubble Stability

    NARCIS (Netherlands)

    Seddon, James R.T.; Zandvliet, Harold J.W.; Lohse, Detlef

    2011-01-01

    We provide a model for the remarkable stability of surface nanobubbles to bulk dissolution. The key to the solution is that the gas in a nanobubble is of Knudsen type. This leads to the generation of a bulk liquid flow which effectively forces the diffusive gas to remain local. Our model predicts th

  14. Twitter for travel medicine providers.

    Science.gov (United States)

    Mills, Deborah J; Kohl, Sarah E

    2016-03-01

    Travel medicine practitioners, perhaps more so than medical practitioners working in other areas of medicine, require a constant flow of information to stay up-to-date, and provide best practice information and care to their patients. Many travel medicine providers are unaware of the popularity and potential of the Twitter platform. Twitter use among our travellers, as well as by physicians and health providers, is growing exponentially. There is a rapidly expanding body of published literature on this information tool. This review provides a brief overview of the ways Twitter is being used by health practitioners, the advantages that are peculiar to Twitter as a platform of social media, and how the interested practitioner can get started. Some key points about the dark side of Twitter are highlighted, as well as the potential benefits of using Twitter as a way to disseminate accurate medical information to the public. This article will help readers develop an increased understanding of Twitter as a tool for extracting useful facts and insights from the ever increasing volume of health information. PMID:26988200

  15. New consumer services provided by smart metering

    Directory of Open Access Journals (Sweden)

    Daminov Ildar

    2015-01-01

    Full Text Available This paper focuses on the issues of smart metering market and considers different services provided by smart metering from consumer point of view. Firstly, smart metering deployment challenges emerging and conventional tariffs, which modify a consumer behavior and thus, the entire electric energy market can be optimized since the customer is motivated to consume less energy. Secondly, the authors illustrate changes in electricity quality, which have an impact on consumer relations with utility. Additionally, two main indices of grid resilience – SAIDI and SAIFI – are exemplified to reveal the improvement potential of smart metering implementation in certain regions of Russia that also influence the consumer. Finally, in-home display and privacy problem directly reflect the consumer’s behavior, thus the private life rights should not be violated as they are guaranteed by law.

  16. Optimization of power system operation

    CERN Document Server

    Zhu, Jizhong

    2015-01-01

    This book applies the latest applications of new technologies topower system operation and analysis, including new and importantareas that are not covered in the previous edition. Optimization of Power System Operation covers both traditional andmodern technologies, including power flow analysis, steady-statesecurity region analysis, security constrained economic dispatch,multi-area system economic dispatch, unit commitment, optimal powerflow, smart grid operation, optimal load shed, optimalreconfiguration of distribution network, power system uncertaintyanalysis, power system sensitivity analysis, analytic hierarchicalprocess, neural network, fuzzy theory, genetic algorithm,evolutionary programming, and particle swarm optimization, amongothers. New topics such as the wheeling model, multi-areawheeling, the total transfer capability computation in multipleareas, are also addressed. The new edition of this book continues to provide engineers andac demics with a complete picture of the optimization of techn...

  17. Optimal dynamic detection of explosives

    Energy Technology Data Exchange (ETDEWEB)

    Moore, David Steven [Los Alamos National Laboratory; Mcgrane, Shawn D [Los Alamos National Laboratory; Greenfield, Margo T [Los Alamos National Laboratory; Scharff, R J [Los Alamos National Laboratory; Rabitz, Herschel A [PRINCETON UNIV; Roslund, J [PRINCETON UNIV

    2009-01-01

    The detection of explosives is a notoriously difficult problem, especially at stand-off distances, due to their (generally) low vapor pressure, environmental and matrix interferences, and packaging. We are exploring optimal dynamic detection to exploit the best capabilities of recent advances in laser technology and recent discoveries in optimal shaping of laser pulses for control of molecular processes to significantly enhance the standoff detection of explosives. The core of the ODD-Ex technique is the introduction of optimally shaped laser pulses to simultaneously enhance sensitivity of explosives signatures while reducing the influence of noise and the signals from background interferents in the field (increase selectivity). These goals are being addressed by operating in an optimal nonlinear fashion, typically with a single shaped laser pulse inherently containing within it coherently locked control and probe sub-pulses. With sufficient bandwidth, the technique is capable of intrinsically providing orthogonal broad spectral information for data fusion, all from a single optimal pulse.

  18. Design Optimization Toolkit: Users' Manual

    Energy Technology Data Exchange (ETDEWEB)

    Aguilo Valentin, Miguel Alejandro [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States). Computational Solid Mechanics and Structural Dynamics

    2014-07-01

    The Design Optimization Toolkit (DOTk) is a stand-alone C++ software package intended to solve complex design optimization problems. DOTk software package provides a range of solution methods that are suited for gradient/nongradient-based optimization, large scale constrained optimization, and topology optimization. DOTk was design to have a flexible user interface to allow easy access to DOTk solution methods from external engineering software packages. This inherent flexibility makes DOTk barely intrusive to other engineering software packages. As part of this inherent flexibility, DOTk software package provides an easy-to-use MATLAB interface that enables users to call DOTk solution methods directly from the MATLAB command window.

  19. Product Distributions for Distributed Optimization. Chapter 1

    Science.gov (United States)

    Bieniawski, Stefan R.; Wolpert, David H.

    2004-01-01

    With connections to bounded rational game theory, information theory and statistical mechanics, Product Distribution (PD) theory provides a new framework for performing distributed optimization. Furthermore, PD theory extends and formalizes Collective Intelligence, thus connecting distributed optimization to distributed Reinforcement Learning (FU). This paper provides an overview of PD theory and details an algorithm for performing optimization derived from it. The approach is demonstrated on two unconstrained optimization problems, one with discrete variables and one with continuous variables. To highlight the connections between PD theory and distributed FU, the results are compared with those obtained using distributed reinforcement learning inspired optimization approaches. The inter-relationship of the techniques is discussed.

  20. Induction heating processes optimization a general optimal control approach

    CERN Document Server

    Favennec, Y; Bay, F

    2003-01-01

    A general automatic optimization procedure coupled to a finite element induction heating process simulation has been developed. The mathematical model and the numerical methods are presented along with results validating the model. The first part of this paper presents the direct induction heating mathematical model, the related main numerical choices and especially the ultra-weak coupling procedure. The general optimization problem is then presented with the full detailed transposition of the ultra-weak coupling procedure to the adjoint problem. Numerical results provided at the end prove the efficiency and robustness of the adjoint model in optimizing induction heating processes.

  1. Optimal Investment Strategy for Risky Assets

    OpenAIRE

    Sergei Maslov; Yi-Cheng Zhang

    1998-01-01

    We design an optimal strategy for investment in a portfolio of assets subject to a multiplicative Brownian motion. The strategy provides the maximal typical long-term growth rate of investor's capital. We determine the optimal fraction of capital that an investor should keep in risky assets as well as weights of different assets in an optimal portfolio. In this approach both average return and volatility of an asset are relevant indicators determining its optimal weight. Our results are parti...

  2. Optimization of synchronizability in multiplex networks

    CERN Document Server

    Dwivedi, Sanjiv K; Jalan, Sarika

    2015-01-01

    We investigate the optimization of synchronizability in multiplex networks and demonstrate that the interlayer coupling strength is the deciding factor for the efficiency of optimization. The optimized networks have homogeneity in the degree as well as in the betweenness centrality. Additionally, the interlayer coupling strength crucially affects various properties of individual layers in the optimized multiplex networks. We provide an understanding to how the emerged network properties are shaped or affected when the evolution renders them better synchronizable.

  3. System floorplanning optimization

    KAUST Repository

    Browning, David W.

    2012-12-01

    Notebook and Laptop Original Equipment Manufacturers (OEMs) place great emphasis on creating unique system designs to differentiate themselves in the mobile market. These systems are developed from the \\'outside in\\' with the focus on how the system is perceived by the end-user. As a consequence, very little consideration is given to the interconnections or power of the devices within the system with a mentality of \\'just make it fit\\'. In this paper we discuss the challenges of Notebook system design and the steps by which system floor-planning tools and algorithms can be used to provide an automated method to optimize this process to ensure all required components most optimally fit inside the Notebook system. © 2012 IEEE.

  4. Optimizing Medical Kits for Spaceflight

    Science.gov (United States)

    Keenan, A. B,; Foy, Millennia; Myers, G.

    2014-01-01

    The Integrated Medical Model (IMM) is a probabilistic model that estimates medical event occurrences and mission outcomes for different mission profiles. IMM simulation outcomes describing the impact of medical events on the mission may be used to optimize the allocation of resources in medical kits. Efficient allocation of medical resources, subject to certain mass and volume constraints, is crucial to ensuring the best outcomes of in-flight medical events. We implement a new approach to this medical kit optimization problem. METHODS We frame medical kit optimization as a modified knapsack problem and implement an algorithm utilizing a dynamic programming technique. Using this algorithm, optimized medical kits were generated for 3 different mission scenarios with the goal of minimizing the probability of evacuation and maximizing the Crew Health Index (CHI) for each mission subject to mass and volume constraints. Simulation outcomes using these kits were also compared to outcomes using kits optimized..RESULTS The optimized medical kits generated by the algorithm described here resulted in predicted mission outcomes more closely approached the unlimited-resource scenario for Crew Health Index (CHI) than the implementation in under all optimization priorities. Furthermore, the approach described here improves upon in reducing evacuation when the optimization priority is minimizing the probability of evacuation. CONCLUSIONS This algorithm provides an efficient, effective means to objectively allocate medical resources for spaceflight missions using the Integrated Medical Model.

  5. Providing Southern Perspectives on CSR

    OpenAIRE

    Jeppesen, Søren; Kothuis, Bas

    2014-01-01

    The article seeks to contribute to the SMEs and CSR literature in developing countries by providing; a) a ‘Southern’ SME perspective, which includes the voices of managers and workers, b) a perspective of CSR, which opens up to informal CSR practices that SMEs undertake, and c) an analysis of the key institutional issues affecting the CSR practices of SMEs. It presents perceptions of CSR practices among 21 SMEs in the garment industry in South Africa, based on 40 interviews with managers and ...

  6. Optimal GENCO bidding strategy

    Science.gov (United States)

    Gao, Feng

    Electricity industries worldwide are undergoing a period of profound upheaval. The conventional vertically integrated mechanism is being replaced by a competitive market environment. Generation companies have incentives to apply novel technologies to lower production costs, for example: Combined Cycle units. Economic dispatch with Combined Cycle units becomes a non-convex optimization problem, which is difficult if not impossible to solve by conventional methods. Several techniques are proposed here: Mixed Integer Linear Programming, a hybrid method, as well as Evolutionary Algorithms. Evolutionary Algorithms share a common mechanism, stochastic searching per generation. The stochastic property makes evolutionary algorithms robust and adaptive enough to solve a non-convex optimization problem. This research implements GA, EP, and PS algorithms for economic dispatch with Combined Cycle units, and makes a comparison with classical Mixed Integer Linear Programming. The electricity market equilibrium model not only helps Independent System Operator/Regulator analyze market performance and market power, but also provides Market Participants the ability to build optimal bidding strategies based on Microeconomics analysis. Supply Function Equilibrium (SFE) is attractive compared to traditional models. This research identifies a proper SFE model, which can be applied to a multiple period situation. The equilibrium condition using discrete time optimal control is then developed for fuel resource constraints. Finally, the research discusses the issues of multiple equilibria and mixed strategies, which are caused by the transmission network. Additionally, an advantage of the proposed model for merchant transmission planning is discussed. A market simulator is a valuable training and evaluation tool to assist sellers, buyers, and regulators to understand market performance and make better decisions. A traditional optimization model may not be enough to consider the distributed

  7. Instant PageSpeed optimization

    CERN Document Server

    Jaiswal, Sanjeev

    2013-01-01

    Filled with practical, step-by-step instructions and clear explanations for the most important and useful tasks. Instant PageSpeed Optimization is a hands-on guide that provides a number of clear, step-by-step exercises for optimizing your websites for better performance and improving their efficiency.Instant PageSpeed Optimization is aimed at website developers and administrators who wish to make their websites load faster without any errors and consume less bandwidth. It's assumed that you will have some experience in basic web technologies like HTML, CSS3, JavaScript, and the basics of netw

  8. Constructing optimal entanglement witnesses. II

    CERN Document Server

    Chruscinski, Dariusz

    2010-01-01

    We provide a class of optimal nondecomposable entanglement witnesses for 4N x 4N composite quantum systems or, equivalently, a new construction of nondecomposable positive maps in the algebra of 4N x 4N complex matrices. This construction provides natural generalization of the Robertson map. It is shown that their structural physical approximations give rise to entanglement breaking channels.

  9. Optimal Insurance Under Random Auditing

    OpenAIRE

    Marie-Cécile Fagart; Pierre Picard

    1998-01-01

    We provide a characterization of an optimal insurance contract (coverage schedule and audit policy) when the monitoring procedure is random. When the policyholder exhibits constant absolute risk aversion, the optimal contract involves a positive indemnity payment with a deductible when the magnitude of damages exceeds a threshold. In such a case, marginal damages are fully covered if the claim is verified. Otherwise, there is an additional deductible that disappears when the damages become in...

  10. Providing cleaner air to Canadians

    International Nuclear Information System (INIS)

    This booklet is designed to explain salient aspects of the Ozone Annex, negotiated and signed recently by Canada and the United States, in a joint effort to improve air quality in North America. By significantly reducing the transboundary flows of air pollutants that cause smog, the Ozone Annex will benefit some 16 million people in central and eastern Canada and provide an example for a future round of negotiations to address concerns of the millions of Canadians and Americans who live in the border area between British Columbia and Washington State. The brochure provide summaries of the Canadian and American commitments, focusing on transportation, monitoring and reporting. The Ozone Annex complements other air quality initiatives by the Government of Canada enacted under the Environmental Protection Act, 1999. These measures include regulations to reduce sulphur content to 30 parts per million by Jan 1, 2005; proposing to restrict toxic particulate matter (PM) to less than 10 microns; establishing daily smog forecasts in the Maritimes and committing to a national program built upon existing smog advisories and forecasts in Quebec, Ontario and British Columbia; and investing in more clean air research through the newly created Canadian Foundation for Climate and Atmospheric Sciences

  11. Providing Southern Perspectives on CSR

    DEFF Research Database (Denmark)

    Jeppesen, Søren; Kothuis, Bas

    The article seeks to contribute to the SMEs and CSR literature in developing countries by providing; a) a ‘Southern’ SME perspective, which includes the voices of managers and workers, b) a perspective of CSR, which opens up to informal CSR practices that SMEs undertake, and c) an analysis of the...... are found to be important factors in explaining the CSR perceptions and level of practices. It is suggested that future research investigate the role of informal practices further and explore the role of institutional theory.......The article seeks to contribute to the SMEs and CSR literature in developing countries by providing; a) a ‘Southern’ SME perspective, which includes the voices of managers and workers, b) a perspective of CSR, which opens up to informal CSR practices that SMEs undertake, and c) an analysis...... of the key institutional issues affecting the CSR practices of SMEs. It presents perceptions of CSR practices among 21 SMEs in the garment industry in South Africa, based on 40 interviews with managers and 19 interviews with workers through the use of qualitative and quantitative interview frameworks...

  12. Wind Turbine Providing Grid Support

    DEFF Research Database (Denmark)

    2011-01-01

    A variable speed wind turbine is arranged to provide additional electrical power to counteract non-periodic disturbances in an electrical grid. A controller monitors events indicating a need to increase the electrical output power from the wind turbine to the electrical grid. The controller...... is arranged to control the wind turbine as follows: after an indicating event has been detected, the wind turbine enters an overproduction period in which the electrical output power is increased, wherein the additional electrical output power is taken from kinetic energy stored in the rotor and without...... changing the operation of the wind turbine to a more efficient working point.; When the rotational speed of the rotor reaches a minimum value, the wind turbine enters a recovery period to re-accelerate the rotor to the nominal rotational speed while further contributing to the stability of the electrical...

  13. Antenna optimization using Particle Swarm Optimization algorithm

    Directory of Open Access Journals (Sweden)

    Golubović Ružica M.

    2006-01-01

    Full Text Available We present the results for two different antenna optimization problems that are found using the Particle Swarm Optimization (PSO algorithm. The first problem is finding the maximal forward gain of a Yagi antenna. The second problem is finding the optimal feeding of a broadside antenna array. The optimization problems have 6 and 20 optimization variables, respectively. The preferred values of the parameters of the PSO algorithm are found for presented problems. The results show that the preferred parameters of PSO are somewhat different for optimization problems with different number of dimensions of the optimization space. The results that are found using the PSO algorithm are compared with the results that are found using other optimization algorithms, in order to estimate the efficiency of the PSO.

  14. 76 FR 48204 - Fund Availability Under VA's Homeless Providers Grant and Per Diem Program

    Science.gov (United States)

    2011-08-08

    ... community; (2) Facilitate reintegration with the community and provide services that may optimize reintegration such as life-skills education, recreational activities, and follow up case management; (3)...

  15. Enhanced Bee Colony Algorithm for Complex Optimization Problems

    OpenAIRE

    S.Suriya; R. Deepalakshmi; S.Suresh kannan; Dr.S.P.SHANTHARAJAH

    2012-01-01

    Optimization problems are considered to be one kind of NP hard problems. Usually heuristic approaches are found to provide solutions for NP hard problems. There are a plenty of heuristic algorithmsavailable to solve optimization problems namely: Ant Colony Optimization, Particle Swarm Optimization, Bee Colony Optimization, etc. The basic Bee Colony algorithm, a population based search algorithm, is analyzed to be a novel tool for complex optimization problems. The algorithm mimics the food fo...

  16. Nonlinear optimization in electrical engineering with applications in Matlab

    CERN Document Server

    Bakr, Mohamed

    2013-01-01

    Nonlinear Optimization in Electrical Engineering with Applications in MATLAB® provides an introductory course on nonlinear optimization in electrical engineering, with a focus on applications such as the design of electric, microwave, and photonic circuits, wireless communications, and digital filter design. Basic concepts are introduced using a step-by-step approach and illustrated with MATLAB® codes that the reader can use and adapt. Topics covered include: classical optimization methods; one dimensional optimization; unconstrained and constrained optimization; global optimization; space map

  17. Providing global WLCG transfer monitoring

    International Nuclear Information System (INIS)

    The WLCG[1] Transfers Dashboard is a monitoring system which aims to provide a global view of WLCG data transfers and to reduce redundancy in monitoring tasks performed by the LHC experiments. The system is designed to work transparently across LHC experiments and across the various technologies used for data transfer. Currently each LHC experiment monitors data transfers via experiment-specific systems but the overall cross-experiment picture is missing. Even for data transfers handled by FTS, which is used by 3 LHC experiments, monitoring tasks such as aggregation of FTS transfer statistics or estimation of transfer latencies are performed by every experiment separately. These tasks could be performed once, centrally, and then served to all experiments via a well-defined set of APIs. In the design and development of the new system, experience accumulated by the LHC experiments in the data management monitoring area is taken into account and a considerable part of the code of the ATLAS DDM Dashboard is being re-used. The paper describes the architecture of the Global Transfer monitoring system, the implementation of its components and the first prototype.

  18. Quality assurance for high dose rate brachytherapy treatment planning optimization: using a simple optimization to verify a complex optimization

    International Nuclear Information System (INIS)

    As dose optimization for high dose rate brachytherapy becomes more complex, it becomes increasingly important to have a means of verifying that optimization results are reasonable. A method is presented for using a simple optimization as quality assurance for the more complex optimization algorithms typically found in commercial brachytherapy treatment planning systems. Quality assurance tests may be performed during commissioning, at regular intervals, and/or on a patient specific basis. A simple optimization method is provided that optimizes conformal target coverage using an exact, variance-based, algebraic approach. Metrics such as dose volume histogram, conformality index, and total reference air kerma agree closely between simple and complex optimizations for breast, cervix, prostate, and planar applicators. The simple optimization is shown to be a sensitive measure for identifying failures in a commercial treatment planning system that are possibly due to operator error or weaknesses in planning system optimization algorithms. Results from the simple optimization are surprisingly similar to the results from a more complex, commercial optimization for several clinical applications. This suggests that there are only modest gains to be made from making brachytherapy optimization more complex. The improvements expected from sophisticated linear optimizations, such as PARETO methods, will largely be in making systems more user friendly and efficient, rather than in finding dramatically better source strength distributions. (paper)

  19. Optimal Control and Optimization of Stochastic Supply Chain Systems

    CERN Document Server

    Song, Dong-Ping

    2013-01-01

    Optimal Control and Optimization of Stochastic Supply Chain Systems examines its subject in the context of the presence of a variety of uncertainties. Numerous examples with intuitive illustrations and tables are provided, to demonstrate the structural characteristics of the optimal control policies in various stochastic supply chains and to show how to make use of these characteristics to construct easy-to-operate sub-optimal policies.                 In Part I, a general introduction to stochastic supply chain systems is provided. Analytical models for various stochastic supply chain systems are formulated and analysed in Part II. In Part III the structural knowledge of the optimal control policies obtained in Part II is utilized to construct easy-to-operate sub-optimal control policies for various stochastic supply chain systems accordingly. Finally, Part IV discusses the optimisation of threshold-type control policies and their robustness. A key feature of the book is its tying together of ...

  20. AC Optimal Power Flow

    Energy Technology Data Exchange (ETDEWEB)

    2016-10-04

    In this work, we have implemented and developed the simulation software to implement the mathematical model of an AC Optimal Power Flow (OPF) problem. The objective function is to minimize the total cost of generation subject to constraints of node power balance (both real and reactive) and line power flow limits (MW, MVAr, and MVA). We have currently implemented the polar coordinate version of the problem. In the present work, we have used the optimization solver, Knitro (proprietary and not included in this software) to solve the problem and we have kept option for both the native numerical derivative evaluation (working satisfactorily now) as well as for analytical formulas corresponding to the derivatives being provided to Knitro (currently, in the debugging stage). Since the AC OPF is a highly non-convex optimization problem, we have also kept the option for a multistart solution. All of these can be decided by the user during run-time in an interactive manner. The software has been developed in C++ programming language, running with GCC compiler on a Linux machine. We have tested for satisfactory results against Matpower for the IEEE 14 bus system.

  1. Optimization Foundations and Applications

    CERN Document Server

    Miller, H Ronald

    2011-01-01

    A thorough and highly accessible resource for analysts in a broad range of social sciences. Optimization: Foundations and Applications presents a series of approaches to the challenges faced by analysts who must find the best way to accomplish particular objectives, usually with the added complication of constraints on the available choices. Award-winning educator Ronald E. Miller provides detailed coverage of both classical, calculus-based approaches and newer, computer-based iterative methods. Dr. Miller lays a solid foundation for both linear and nonlinear models and quickly moves on to dis

  2. Configurable intelligent optimization algorithm design and practice in manufacturing

    CERN Document Server

    Tao, Fei; Laili, Yuanjun

    2014-01-01

    Presenting the concept and design and implementation of configurable intelligent optimization algorithms in manufacturing systems, this book provides a new configuration method to optimize manufacturing processes. It provides a comprehensive elaboration of basic intelligent optimization algorithms, and demonstrates how their improvement, hybridization and parallelization can be applied to manufacturing. Furthermore, various applications of these intelligent optimization algorithms are exemplified in detail, chapter by chapter. The intelligent optimization algorithm is not just a single algorit

  3. Multicriteria Optimization in Action

    OpenAIRE

    2003-01-01

    This interactive media familiarizes students with the fundamental concepts of multicriteria optimization: feasible and Pareto optimal solution sets. These concepts are used to solve applied problems of engineering optimization. EO4021 Multicriteria Analysis in Engineering

  4. Registration analytical providing of efficiency of control of inventories

    OpenAIRE

    Чук, Олена Вікторівна

    2014-01-01

    This paper clarifies the importance of accounting for payments to suppliers, including rational choice and needs for improvement of analytical accounting calculations with them. Thus the accounting of payments to suppliers for businesses should consider not only the specifics of their activities and provide guidance and operational economic information for effective inventory management and optimization of financial discipline.

  5. Multi-net optimization of VLSI interconnect

    CERN Document Server

    Moiseev, Konstantin; Wimer, Shmuel

    2015-01-01

    This book covers layout design and layout migration methodologies for optimizing multi-net wire structures in advanced VLSI interconnects. Scaling-dependent models for interconnect power, interconnect delay and crosstalk noise are covered in depth, and several design optimization problems are addressed, such as minimization of interconnect power under delay constraints, or design for minimal delay in wire bundles within a given routing area. A handy reference or a guide for design methodologies and layout automation techniques, this book provides a foundation for physical design challenges of interconnect in advanced integrated circuits.  • Describes the evolution of interconnect scaling and provides new techniques for layout migration and optimization, focusing on multi-net optimization; • Presents research results that provide a level of design optimization which does not exist in commercially-available design automation software tools; • Includes mathematical properties and conditions for optimal...

  6. Enhanced ant colony optimization for multiscale problems

    Science.gov (United States)

    Hu, Nan; Fish, Jacob

    2016-03-01

    The present manuscript addresses the issue of computational complexity of optimizing nonlinear composite materials and structures at multiple scales. Several solutions are detailed to meet the enormous computational challenge of optimizing nonlinear structures at multiple scales including: (i) enhanced sampling procedure that provides superior performance of the well-known ant colony optimization algorithm, (ii) a mapping-based meshing of a representative volume element that unlike unstructured meshing permits sensitivity analysis on coarse meshes, and (iii) a multilevel optimization procedure that takes advantage of possible weak coupling of certain scales. We demonstrate the proposed optimization procedure on elastic and inelastic laminated plates involving three scales.

  7. Dosimetry robustness with stochastic optimization

    Science.gov (United States)

    Nohadani, Omid; Seco, Joao; Martin, Benjamin C.; Bortfeld, Thomas

    2009-06-01

    All radiation therapy treatment planning relies on accurate dose calculation. Uncertainties in dosimetric prediction can significantly degrade an otherwise optimal plan. In this work, we introduce a robust optimization method which handles dosimetric errors and warrants for high-quality IMRT plans. Unlike other dose error estimations, we do not rely on the detailed knowledge about the sources of the uncertainty and use a generic error model based on random perturbation. This generality is sought in order to cope with a large variety of error sources. We demonstrate the method on a clinical case of lung cancer and show that our method provides plans that are more robust against dosimetric errors and are clinically acceptable. In fact, the robust plan exhibits a two-fold improved equivalent uniform dose compared to the non-robust but optimized plan. The achieved speedup will allow computationally extensive multi-criteria or beam-angle optimization approaches to warrant for dosimetrically relevant plans.

  8. vZ - An Optimizing SMT Solver

    DEFF Research Database (Denmark)

    Bjørner, Nikolaj; Dung, Phan Anh; Fleckenstein, Lars

    2015-01-01

    vZ is a part of the SMT solver Z3. It allows users to pose and solve optimization problems modulo theories. Many SMT applications use models to provide satisfying assignments, and a growing number of these build on top of Z3 to get optimal assignments with respect to objective functions. v......Z provides a portfolio of approaches for solving linear optimization problems over SMT formulas, MaxSMT, and their combinations. Objective functions are combined as either Pareto fronts, lexicographically, or each objective is optimized independently. We describe usage scenarios of vZ, outline the tool...

  9. Database Optimizing Services

    Directory of Open Access Journals (Sweden)

    Adrian GHENCEA

    2010-12-01

    Full Text Available Almost every organization has at its centre a database. The database provides support for conducting different activities, whether it is production, sales and marketing or internal operations. Every day, a database is accessed for help in strategic decisions. The satisfaction therefore of such needs is entailed with a high quality security and availability. Those needs can be realised using a DBMS (Database Management System which is, in fact, software for a database. Technically speaking, it is software which uses a standard method of cataloguing, recovery, and running different data queries. DBMS manages the input data, organizes it, and provides ways of modifying or extracting the data by its users or other programs. Managing the database is an operation that requires periodical updates, optimizing and monitoring.

  10. Optimal Tax Depreciation under a Progressive Tax System

    NARCIS (Netherlands)

    Wielhouwer, J.L.; De Waegenaere, A.M.B.; Kort, P.M.

    2000-01-01

    The focus of this paper is on the effect of a progressive tax system on optimal tax depreciation. By using dynamic optimization we show that an optimal strategy exists, and we provide an analytical expression for the optimal depreciation charges. Depreciation charges initially decrease over time, an

  11. Algorithmic Aspects of Several Data Transfer Service Optimization Problems

    CERN Document Server

    Andreica, Mugurel Ionut; Ionescu, Florin; Andreica, Cristina Teodora

    2009-01-01

    Optimized data transfer services are highly demanded nowadays, due to the large amounts of data which are frequently being produced and accessed. In this paper we consider several data transfer service optimization problems (optimal server location in path networks, optimal packet sequencing and minimum makespan packet scheduling), for which we provide novel algorithmic solutions.

  12. 耦合流域模型及在中国环境规划与管理中的应用进展%Coupling Watershed Environmental Model with Optimizing Method to Provide Least Cost Alternatives in Environmental Planning and Management

    Institute of Scientific and Technical Information of China (English)

    蒋洪强; 吴文俊; 姚艳玲; 刘年磊; 王金南; 毕军; 姚瑞华

    2015-01-01

    Watershed environmental models were very important tools for studying water blackening and smell, eutrophication and many other problem of water pollution. Watershed environmental models comprised of pollution load models, water quality models, and aquatic-land coupling models, either mechanistic or empirical. Mechanistic models focus on characterizing hydrodynamics and transformation, and calibrating parameter through measured data of localization, empirical models focus on statistical rule for large quantities of data. Models comprehensively qualified the internal complex pollution process within entire watershed system. Pollution load models usually estimated load from pollution sources, and calculated load of pollutant discharged into rivers. Water quality models often simulated transporting and degrading processes of several pollutants in rivers, lakes, etc. Conventionally, watershed models have been widely used to evaluate non-point source pollution and analyze water quality impacted by environmental management strategies, such as emission trading. Nowadays models have been further expanded to couple with economic model for designing and optimizing environmental policy. In this paper, the coupling model of water quantity and water quality were applicated in water resource management and water environment management policy, which including water resource allocation, effect of emission trading, trade-off in cost & benefit analysis were reviewed. Finally, development and prospect of watershed environmental models were carried out. We should compare environmental impact by both the target strategy and environmental capacity strategy, which will be more meaningful. Uncertainty of model problems may also need emphasized if we continue to dig deep. Most of the researchers always set the approach of optimizing as a deterministic situation, actually, far from it. Uncertainty and risk associated with the quantification and prediction of waterborne pollutant loads and

  13. Optimal Power Flow Pursuit

    Energy Technology Data Exchange (ETDEWEB)

    Dall' Anese, Emiliano

    2016-08-01

    Past works that focused on addressing power-quality and reliability concerns related to renewable energy resources (RESs) operating with business-as-usual practices have looked at the design of Volt/VAr and Volt/Watt strategies to regulate real or reactive powers based on local voltage measurements, so that terminal voltages are within acceptable levels. These control strategies have the potential of operating at the same time scale of distribution-system dynamics, and can therefore mitigate disturbances precipitated fast time-varying loads and ambient conditions; however, they do not necessarily guarantee system-level optimality, and stability claims are mainly based on empirical evidences. On a different time scale, centralized and distributed optimal power flow (OPF) algorithms have been proposed to compute optimal steady-state inverter setpoints, so that power losses and voltage deviations are minimized and economic benefits to end-users providing ancillary services are maximized. However, traditional OPF schemes may offer decision making capabilities that do not match the dynamics of distribution systems. Particularly, during the time required to collect data from all the nodes of the network (e.g., loads), solve the OPF, and subsequently dispatch setpoints, the underlying load, ambient, and network conditions may have already changed; in this case, the DER output powers would be consistently regulated around outdated setpoints, leading to suboptimal system operation and violation of relevant electrical limits. The present work focuses on the synthesis of distributed RES-inverter controllers that leverage the opportunities for fast feedback offered by power-electronics interfaced RESs. The overarching objective is to bridge the temporal gap between long-term system optimization and real-time control, to enable seamless RES integration in large scale with stability and efficiency guarantees, while congruently pursuing system-level optimization objectives. The

  14. Applications of combinatorial optimization

    CERN Document Server

    Paschos, Vangelis Th

    2013-01-01

    Combinatorial optimization is a multidisciplinary scientific area, lying in the interface of three major scientific domains: mathematics, theoretical computer science and management. The three volumes of the Combinatorial Optimization series aims to cover a wide range of topics in this area. These topics also deal with fundamental notions and approaches as with several classical applications of combinatorial optimization. "Applications of Combinatorial Optimization" is presenting a certain number among the most common and well-known applications of Combinatorial Optimization.

  15. Global Optimization with Hybrid Evolutionary Computation

    OpenAIRE

    Bashir, Hassan Abdullahi

    2014-01-01

    An investigation has been made into hybrid systems which include stochastic and deterministic optimization. This thesis aims to provide new and relevant insights into the design of the nature-inspired hybrid optimization paradigms. It combines evolutionary and gradient-based methods. These hybrid evolutionary methods yield improved performance when applied to complex global optimization tasks and recent research has shown many of such hybridization policies.The thesis has three broad contribu...

  16. On the optimal provision of social insurance

    OpenAIRE

    Krueger, Dirk; Ludwig, Alexander

    2015-01-01

    In this paper we compute the optimal tax and education policy transition in an economy where progressive taxes provide social insurance against idiosyncratic wage risk, but distort the education decision of households. Optimally chosen tertiary education subsidies mitigate these distortions. We highlight the importance of two different channels through which academic talent is transmitted across generations (persistence of innate ability vs. the impact of parental education) for the optimal d...

  17. Optimization of Monte Carlo simulations

    OpenAIRE

    Bryskhe, Henrik

    2009-01-01

    This thesis considers several different techniques for optimizing Monte Carlo simulations. The Monte Carlo system used is Penelope but most of the techniques are applicable to other systems. The two mayor techniques are the usage of the graphics card to do geometry calculations, and raytracing. Using graphics card provides a very efficient way to do fast ray and triangle intersections. Raytracing provides an approximation of Monte Carlo simulation but is much faster to perform. A program was ...

  18. Oil Reservoir Production Optimization using Optimal Control

    DEFF Research Database (Denmark)

    Völcker, Carsten; Jørgensen, John Bagterp; Stenby, Erling Halfdan

    2011-01-01

    the adjoint method. We use an Explicit Singly Diagonally Implicit Runge-Kutta (ESDIRK) method for the integration and a quasi-Newton Sequential Quadratic Programming (SQP) algorithm for the constrained optimization. We use this algorithm in a numerical case study to optimize the production of oil from an oil...

  19. Mechanical Design Optimization Using Advanced Optimization Techniques

    CERN Document Server

    Rao, R Venkata

    2012-01-01

    Mechanical design includes an optimization process in which designers always consider objectives such as strength, deflection, weight, wear, corrosion, etc. depending on the requirements. However, design optimization for a complete mechanical assembly leads to a complicated objective function with a large number of design variables. It is a good practice to apply optimization techniques for individual components or intermediate assemblies than a complete assembly. Analytical or numerical methods for calculating the extreme values of a function may perform well in many practical cases, but may fail in more complex design situations. In real design problems, the number of design parameters can be very large and their influence on the value to be optimized (the goal function) can be very complicated, having nonlinear character. In these complex cases, advanced optimization algorithms offer solutions to the problems, because they find a solution near to the global optimum within reasonable time and computational ...

  20. Benchmarking optimization solvers for structural topology optimization

    DEFF Research Database (Denmark)

    Rojas Labanda, Susana; Stolpe, Mathias

    2015-01-01

    The purpose of this article is to benchmark different optimization solvers when applied to various finite element based structural topology optimization problems. An extensive and representative library of minimum compliance, minimum volume, and mechanism design problem instances for different...... sizes is developed for this benchmarking. The problems are based on a material interpolation scheme combined with a density filter. Different optimization solvers including Optimality Criteria (OC), the Method of Moving Asymptotes (MMA) and its globally convergent version GCMMA, the interior point...... profiles conclude that general solvers are as efficient and reliable as classical structural topology optimization solvers. Moreover, the use of the exact Hessians in SAND formulations, generally produce designs with better objective function values. However, with the benchmarked implementations solving...

  1. Microgenetic optimization algorithm for optimal wavefront shaping

    CERN Document Server

    Anderson, Benjamin R; Gunawidjaja, Ray; Eilers, Hergen

    2015-01-01

    One of the main limitations of utilizing optimal wavefront shaping in imaging and authentication applications is the slow speed of the optimization algorithms currently being used. To address this problem we develop a micro-genetic optimization algorithm ($\\mu$GA) for optimal wavefront shaping. We test the abilities of the $\\mu$GA and make comparisons to previous algorithms (iterative and simple-genetic) by using each algorithm to optimize transmission through an opaque medium. From our experiments we find that the $\\mu$GA is faster than both the iterative and simple-genetic algorithms and that both genetic algorithms are more resistant to noise and sample decoherence than the iterative algorithm.

  2. Optimal estimation of dynamic systems

    CERN Document Server

    Crassidis, John L

    2004-01-01

    Most newcomers to the field of linear stochastic estimation go through a difficult process in understanding and applying the theory.This book minimizes the process while introducing the fundamentals of optimal estimation.Optimal Estimation of Dynamic Systems explores topics that are important in the field of control where the signals received are used to determine highly sensitive processes such as the flight path of a plane, the orbit of a space vehicle, or the control of a machine. The authors use dynamic models from mechanical and aerospace engineering to provide immediate results of estim

  3. Providing care for critically ill surgical patients: challenges and recommendations.

    Science.gov (United States)

    Tisherman, Samuel A; Kaplan, Lewis; Gracias, Vicente H; Beilman, Gregory J; Toevs, Christine; Byrnes, Matthew C; Coopersmith, Craig M

    2013-07-01

    Providing optimal care for critically ill and injured surgical patients will become more challenging with staff shortages for surgeons and intensivists. This white paper addresses the historical issues behind the present situation, the need for all intensivists to engage in dedicated critical care per the intensivist model, and the recognition that intensivists from all specialties can provide optimal care for the critically ill surgical patient, particularly with continuing involvement by the surgeon of record. The new acute care surgery training paradigm (including trauma, surgical critical care, and emergency general surgery) has been developed to increase interest in trauma and surgical critical care, but the number of interested trainees remains too few. Recommendations are made for broadening the multidisciplinary training and practice opportunities in surgical critical care for intensivists from all base specialties and for maintaining the intensivist model within acute care surgery practice. Support from academic and administrative leadership, as well as national organizations, will be needed. PMID:23754675

  4. The Diversity of Providers on the Family Medicine Team.

    Science.gov (United States)

    Bazemore, Andrew; Wingrove, Peter; Peterson, Lars; Petterson, Stephen

    2016-01-01

    Family physicians are increasingly incorporating other health care providers into their practice teams to better meet the needs of increasingly complex and comorbid patients. While a majority of family physicians report working with a nurse practitioner, only 21% work with a behavioral health specialist. A better understanding of optimal team composition and function in primary care is essential to realizing the promise of a patient-centered medical home and achieving the triple aim. PMID:26769871

  5. Integrated solar energy system optimization

    Science.gov (United States)

    Young, S. K.

    1982-11-01

    The computer program SYSOPT, intended as a tool for optimizing the subsystem sizing, performance, and economics of integrated wind and solar energy systems, is presented. The modular structure of the methodology additionally allows simulations when the solar subsystems are combined with conventional technologies, e.g., a utility grid. Hourly energy/mass flow balances are computed for interconnection points, yielding optimized sizing and time-dependent operation of various subsystems. The program requires meteorological data, such as insolation, diurnal and seasonal variations, and wind speed at the hub height of a wind turbine, all of which can be taken from simulations like the TRNSYS program. Examples are provided for optimization of a solar-powered (wind turbine and parabolic trough-Rankine generator) desalinization plant, and a design analysis for a solar powered greenhouse.

  6. Optimizing Chemical Sensor Array Sizes

    International Nuclear Information System (INIS)

    Optimal selection of array sensors for a chemical sensing application is a nontrivial task. It is commonly believed that ''more is better'' when choosing the number of sensors required to achieve good chemical selectivity. However, cost and system complexity issues point towards the choice of small arrays. A quantitative array optimization is carried out to explore the selectivity of arrays of partially-selective chemical sensors as a function of array size. It is shown that modest numbers (dozens) of target analytes are completely distinguished with a range of arrays sizes. However, the array selectivity and the robustness against sensor sensitivity variability are significantly degraded if the array size is increased above a certain number of sensors, so that relatively small arrays provide the best performance. The results also suggest that data analyses for very large arrays of partially-selective sensors will be optimized by separately anal yzing small sensor subsets

  7. Topological Derivatives in Shape Optimization

    CERN Document Server

    Novotny, Antonio André

    2013-01-01

    The topological derivative is defined as the first term (correction) of the asymptotic expansion of a given shape functional with respect to a small parameter that measures the size of singular domain perturbations, such as holes, inclusions, defects, source-terms and cracks. Over the last decade, topological asymptotic analysis has become a broad, rich and fascinating research area from both theoretical and numerical standpoints. It has applications in many different fields such as shape and topology optimization, inverse problems, imaging processing and mechanical modeling including synthesis and/or optimal design of microstructures, sensitivity analysis in fracture mechanics and damage evolution modeling. Since there is no monograph on the subject at present, the authors provide here the first account of the theory which combines classical sensitivity analysis in shape optimization with asymptotic analysis by means of compound asymptotic expansions for elliptic boundary value problems. This book is intende...

  8. Optimized manufacturable porous materials

    DEFF Research Database (Denmark)

    Andreassen, Erik; Andreasen, Casper Schousboe; Jensen, Jakob Søndergaard;

    to include manufacturing constraints in the optimization. This work focuses on incorporating the manufacturability into the optimization procedure, allowing the resulting material structure to be manufactured directly using rapid manufacturing techniques, such as selective laser melting/sintering (SLM...

  9. Optimal Alarm Systems

    Data.gov (United States)

    National Aeronautics and Space Administration — An optimal alarm system is simply an optimal level-crossing predictor that can be designed to elicit the fewest false alarms for a fixed detection probability. It...

  10. Pseudolinear functions and optimization

    CERN Document Server

    Mishra, Shashi Kant

    2015-01-01

    Pseudolinear Functions and Optimization is the first book to focus exclusively on pseudolinear functions, a class of generalized convex functions. It discusses the properties, characterizations, and applications of pseudolinear functions in nonlinear optimization problems.The book describes the characterizations of solution sets of various optimization problems. It examines multiobjective pseudolinear, multiobjective fractional pseudolinear, static minmax pseudolinear, and static minmax fractional pseudolinear optimization problems and their results. The authors extend these results to locally

  11. Path Optimization Using APSO

    Directory of Open Access Journals (Sweden)

    Deepak Goyal

    2013-07-01

    Full Text Available This paper addresses the malicious node detection and path optimization problem for wireless sensor networks. Malicious node detection in neighborhood is a needed because that node may cause incorrect decisions or energy depletion. In this paper APSO (combination of Artificial bee colony and particular swarm optimization is used to choose an optimized path. Through this improved version we will overcome the disadvantage of local optimal which comes when we use PSO approach.

  12. Path Optimization Using APSO

    OpenAIRE

    Deepak Goyal; Malay Ranjan Tripathy

    2013-01-01

    This paper addresses the malicious node detection and path optimization problem for wireless sensor networks. Malicious node detection in neighborhood is a needed because that node may cause incorrect decisions or energy depletion. In this paper APSO (combination of Artificial bee colony and particular swarm optimization) is used to choose an optimized path. Through this improved version we will overcome the disadvantage of local optimal which comes when we use PSO approach.

  13. Optimized manufacturable porous materials

    OpenAIRE

    Andreassen, Erik; Andreasen, Casper Schousboe; Jensen, Jakob Søndergaard; Sigmund, Ole

    2012-01-01

    Topology optimization has been used to design two-dimensional material structures with specific elastic properties, but optimized designs of three-dimensional material structures are more scarsely seen. Partly because it requires more computational power, and partly because it is a major challenge to include manufacturing constraints in the optimization.This work focuses on incorporating the manufacturability into the optimization procedure, allowing the resulting material structure to be man...

  14. Optimal Control for Dummies

    Directory of Open Access Journals (Sweden)

    Marcus Davidsson

    2012-06-01

    Full Text Available The aim of this study is to facilitate the teaching of optimal control in economics. Understanding optimal control can be challenging to say the least. This study discusses optimal control and its applications in economics. More specifically the famous Keynesian-Ramsey rule will be explored and discussed in detail. The same rule is also extensively used in resource economics to calculate the optimal extraction from for example a gold mine.

  15. Optimization algorithms and applications

    CERN Document Server

    Arora, Rajesh Kumar

    2015-01-01

    Choose the Correct Solution Method for Your Optimization ProblemOptimization: Algorithms and Applications presents a variety of solution techniques for optimization problems, emphasizing concepts rather than rigorous mathematical details and proofs. The book covers both gradient and stochastic methods as solution techniques for unconstrained and constrained optimization problems. It discusses the conjugate gradient method, Broyden-Fletcher-Goldfarb-Shanno algorithm, Powell method, penalty function, augmented Lagrange multiplier method, sequential quadratic programming, method of feasible direc

  16. Optimization of radiation protection

    International Nuclear Information System (INIS)

    The Symposium presentations were divided into three sessions devoted to the following topics: the role of optimization of radiation protection (10 papers), application of the principle of optimization of radiation protection (26 papers), methods and techniques in the optimization of radiation protection (7 papers). An additional session was devoted to the presentation of a summary statement and to an extended discussion by a panel of senior experts on the question of whether optimization (ALARA) is meeting its objective

  17. Accomplishing Deterministic XML Query Optimization

    Institute of Scientific and Technical Information of China (English)

    Dun-Ren Che

    2005-01-01

    As the popularity of XML (eXtensible Markup Language) keeps growing rapidly, the management of XML compliant structured-document databases has become a very interesting and compelling research area. Query optimization for XML structured-documents stands out as one of the most challenging research issues in this area because of the much enlarged optimization (search) space, which is a consequence of the intrinsic complexity of the underlying data model of XML data. We therefore propose to apply deterministic transformations on query expressions to most aggressively prune the search space and fast achieve a sufficiently improved alternative (if not the optimal) for each incoming query expression. This idea is not just exciting but practically attainable. This paper first provides an overview of our optimization strategy, and then focuses on the key implementation issues of our rule-based transformation system for XML query optimization in a database environment. The performance results we obtained from experimentation show that our approach is a valid and effective one.

  18. Optimal control with aerospace applications

    CERN Document Server

    Longuski, James M; Prussing, John E

    2014-01-01

    Want to know not just what makes rockets go up but how to do it optimally? Optimal control theory has become such an important field in aerospace engineering that no graduate student or practicing engineer can afford to be without a working knowledge of it. This is the first book that begins from scratch to teach the reader the basic principles of the calculus of variations, develop the necessary conditions step-by-step, and introduce the elementary computational techniques of optimal control. This book, with problems and an online solution manual, provides the graduate-level reader with enough introductory knowledge so that he or she can not only read the literature and study the next level textbook but can also apply the theory to find optimal solutions in practice. No more is needed than the usual background of an undergraduate engineering, science, or mathematics program: namely calculus, differential equations, and numerical integration. Although finding optimal solutions for these problems is a...

  19. Optimal obstacle control problem

    Institute of Scientific and Technical Information of China (English)

    ZHU Li; LI Xiu-hua; GUO Xing-ming

    2008-01-01

    In the paper we discuss some properties of the state operators of the optimal obstacle control problem for elliptic variational inequality. Existence, uniqueness and regularity of the optimal control problem are established. In addition, the approximation of the optimal obstacle problem is also studied.

  20. Dependability of self-optimizing mechatronic systems

    CERN Document Server

    Rammig, Franz; Schäfer, Wilhelm; Sextro, Walter

    2014-01-01

    Intelligent technical systems, which combine mechanical, electrical and software engineering with control engineering and advanced mathematics, go far beyond the state of the art in mechatronics and open up fascinating perspectives. Among these systems are so-called self-optimizing systems, which are able to adapt their behavior autonomously and flexibly to changing operating conditions. Self-optimizing systems create high value for example in terms of energy and resource efficiency as well as reliability. The Collaborative Research Center 614 "Self-optimizing Concepts and Structures in Mechanical Engineering" pursued the long-term aim to open up the active paradigm of self-optimization for mechanical engineering and to enable others to develop self-optimizing systems. This book is directed to researchers and practitioners alike. It provides a design methodology for the development of self-optimizing systems consisting of a reference process, methods, and tools. The reference process is divided into two phase...

  1. Time optimal paths for high speed maneuvering

    Energy Technology Data Exchange (ETDEWEB)

    Reister, D.B.; Lenhart, S.M.

    1993-01-01

    Recent theoretical results have completely solved the problem of determining the minimum length path for a vehicle with a minimum turning radius moving from an initial configuration to a final configuration. Time optimal paths for a constant speed vehicle are a subset of the minimum length paths. This paper uses the Pontryagin maximum principle to find time optimal paths for a constant speed vehicle. The time optimal paths consist of sequences of axes of circles and straight lines. The maximum principle introduces concepts (dual variables, bang-bang solutions, singular solutions, and transversality conditions) that provide important insight into the nature of the time optimal paths. We explore the properties of the optimal paths and present some experimental results for a mobile robot following an optimal path.

  2. Explicit Optimal Hardness via Gaussian stability results

    CERN Document Server

    De, Anindya

    2012-01-01

    The results of Raghavendra (2008) show that assuming Khot's Unique Games Conjecture (2002), for every constraint satisfaction problem there exists a generic semi-definite program that achieves the optimal approximation factor. This result is existential as it does not provide an explicit optimal rounding procedure nor does it allow to calculate exactly the Unique Games hardness of the problem. Obtaining an explicit optimal approximation scheme and the corresponding approximation factor is a difficult challenge for each specific approximation problem. An approach for determining the exact approximation factor and the corresponding optimal rounding was established in the analysis of MAX-CUT (KKMO 2004) and the use of the Invariance Principle (MOO 2005). However, this approach crucially relies on results explicitly proving optimal partitions in Gaussian space. Until recently, Borell's result (Borell 1985) was the only non-trivial Gaussian partition result known. In this paper we derive the first explicit optimal...

  3. On the Ramified Optimal Allocation Problem

    CERN Document Server

    Xia, Qinglan

    2011-01-01

    This paper proposes an optimal allocation problem with ramified transport technology in a spatial economy. Ramified transportation is used to model the transport economy of scale in group transportation observed widely in both nature and efficiently designed transport systems of branching structures. The ramified allocation problem aims at finding an optimal allocation plan as well as an associated optimal allocation path to minimize overall cost of transporting commodity from factories to households. This problem differentiates itself from existing ramified transportation literature in that the distribution of production among factories is not fixed but endogenously determined as observed in many allocation practices. It's shown that due to the transport economy of scale in ramified transportation, each optimal allocation plan corresponds equivalently to an optimal assignment map from households to factories. This optimal assignment map provides a natural partition of both households and allocation paths. We...

  4. An overview of the optimization modelling applications

    Science.gov (United States)

    Singh, Ajay

    2012-10-01

    SummaryThe optimal use of available resources is of paramount importance in the backdrop of the increasing food, fiber, and other demands of the burgeoning global population and the shrinking resources. The optimal use of these resources can be determined by employing an optimization technique. The comprehensive reviews on the use of various programming techniques for the solution of different optimization problems have been provided in this paper. The past reviews are grouped into nine sections based on the solutions of the theme-based real world problems. The sections include: use of optimization modelling for conjunctive use planning, groundwater management, seawater intrusion management, irrigation management, achieving optimal cropping pattern, management of reservoir systems operation, management of resources in arid and semi-arid regions, solid waste management, and miscellaneous uses which comprise, managing problems of hydropower generation and sugar industry. Conclusions are drawn where gaps exist and more research needs to be focused.

  5. Topology Optimization for Architected Materials Design

    Science.gov (United States)

    Osanov, Mikhail; Guest, James K.

    2016-07-01

    Advanced manufacturing processes provide a tremendous opportunity to fabricate materials with precisely defined architectures. To fully leverage these capabilities, however, materials architectures must be optimally designed according to the target application, base material used, and specifics of the fabrication process. Computational topology optimization offers a systematic, mathematically driven framework for navigating this new design challenge. The design problem is posed and solved formally as an optimization problem with unit cell and upscaling mechanics embedded within this formulation. This article briefly reviews the key requirements to apply topology optimization to materials architecture design and discusses several fundamental findings related to optimization of elastic, thermal, and fluidic properties in periodic materials. Emerging areas related to topology optimization for manufacturability and manufacturing variations, nonlinear mechanics, and multiscale design are also discussed.

  6. Optimal growth models and the Lagrange Multipliers

    OpenAIRE

    Le Van, Cuong; SAGLAM, Cagri

    2003-01-01

    We provide sufficient conditions on the objective functional and the constraint functions under which the Lagrangean can be represented by a L exp.1 sequence of multipliers in infinite horizon discrete time optimal growth models.

  7. Optimization and optimal control in automotive systems

    CERN Document Server

    Kolmanovsky, Ilya; Steinbuch, Maarten; Re, Luigi

    2014-01-01

    This book demonstrates the use of the optimization techniques that are becoming essential to meet the increasing stringency and variety of requirements for automotive systems. It shows the reader how to move away from earlier  approaches, based on some degree of heuristics, to the use of  more and more common systematic methods. Even systematic methods can be developed and applied in a large number of forms so the text collects contributions from across the theory, methods and real-world automotive applications of optimization. Greater fuel economy, significant reductions in permissible emissions, new drivability requirements and the generally increasing complexity of automotive systems are among the criteria that the contributing authors set themselves to meet. In many cases multiple and often conflicting requirements give rise to multi-objective constrained optimization problems which are also considered. Some of these problems fall into the domain of the traditional multi-disciplinary optimization applie...

  8. Particle Swarm Optimization Based Reactive Power Optimization

    CERN Document Server

    Sujin, P R; Linda, M Mary

    2010-01-01

    Reactive power plays an important role in supporting the real power transfer by maintaining voltage stability and system reliability. It is a critical element for a transmission operator to ensure the reliability of an electric system while minimizing the cost associated with it. The traditional objectives of reactive power dispatch are focused on the technical side of reactive support such as minimization of transmission losses. Reactive power cost compensation to a generator is based on the incurred cost of its reactive power contribution less the cost of its obligation to support the active power delivery. In this paper an efficient Particle Swarm Optimization (PSO) based reactive power optimization approach is presented. The optimal reactive power dispatch problem is a nonlinear optimization problem with several constraints. The objective of the proposed PSO is to minimize the total support cost from generators and reactive compensators. It is achieved by maintaining the whole system power loss as minimum...

  9. Optimal Load Dispatch Using Ant Lion Optimization

    Directory of Open Access Journals (Sweden)

    Menakshi Mahendru Nischal

    2015-08-01

    Full Text Available This paper presents Ant lion optimization (ALO technique to solve optimal load dispatch problem. Ant lion optimization (ALO is a novel nature inspired algorithm. The ALO algorithm mimics the hunting mechanism of ant lions in nature. Five main steps of hunting prey such as the random walk of ants, building traps, entrapment of ants in traps, catching preys, and re-building traps are implemented. Optimal load dispatch (OLD is a method of determining the most efficient, low-cost and reliable operation of a power system by dispatching available electricity generation resources to supply load on the system. The primary objective of OLD is to minimize total cost of generation while honoring operational constraints of available generation resources. The proposed technique is implemented on 3, 6 & 20 unit test system for solving the OLD. Numerical results shows that the proposed method has good convergence property and better in quality of solution than other algorithms reported in recent literature.

  10. Parenting provided by adults with mental retardation.

    Science.gov (United States)

    Dowdney, L; Skuse, D

    1993-01-01

    Studies assessing the quality of parenting provided by adults with mental retardation present conflicting conclusions. Some consider the majority to be doing reasonably well, whilst others report frequently unsatisfactory caretaking. There are a number of reasons for such different views. First, inconsistent selection criteria make it hard to compare across studies. In particular, sample composition will be influenced by the recruitment source. For example, if parents have been chosen from voluntary educational programmes a rather different picture is likely to be found than if they have been selected from individuals known to, or referred by, statutory agencies. On the whole, authors working with subjects from the former source have been rather more optimistic than those working with parents referred because there were already serious concerns about parenting difficulties or about delayed child development. Secondly, the majority of studies have used poorly defined global measures of parenting, with variable criteria of what constitutes adequate care. Some have concentrated on physical care and hygiene, whilst others have looked for the presence of affection and warmth. A child's reception into care as the sole measure of the quality of parenting is an unsatisfactory criterion because parental retardation has itself occasionally been used as the basis for removal of a child into care, even in the absence of other evidence of neglect or abuse. Thirdly, methodological flaws are found in studies that have used observational assessments of parenting. Such studies have suggested mothers with mental retardation tend to lack interactive skills (such as high levels of praise and imitation, and low restrictiveness) which are known to be associated with optimal child development. Control groups have often not been matched on social and other variables which might be expected to exert a significant influence upon parenting practices. In addition, the generalisability of

  11. Parenting provided by adults with mental retardation.

    Science.gov (United States)

    Dowdney, L; Skuse, D

    1993-01-01

    Studies assessing the quality of parenting provided by adults with mental retardation present conflicting conclusions. Some consider the majority to be doing reasonably well, whilst others report frequently unsatisfactory caretaking. There are a number of reasons for such different views. First, inconsistent selection criteria make it hard to compare across studies. In particular, sample composition will be influenced by the recruitment source. For example, if parents have been chosen from voluntary educational programmes a rather different picture is likely to be found than if they have been selected from individuals known to, or referred by, statutory agencies. On the whole, authors working with subjects from the former source have been rather more optimistic than those working with parents referred because there were already serious concerns about parenting difficulties or about delayed child development. Secondly, the majority of studies have used poorly defined global measures of parenting, with variable criteria of what constitutes adequate care. Some have concentrated on physical care and hygiene, whilst others have looked for the presence of affection and warmth. A child's reception into care as the sole measure of the quality of parenting is an unsatisfactory criterion because parental retardation has itself occasionally been used as the basis for removal of a child into care, even in the absence of other evidence of neglect or abuse. Thirdly, methodological flaws are found in studies that have used observational assessments of parenting. Such studies have suggested mothers with mental retardation tend to lack interactive skills (such as high levels of praise and imitation, and low restrictiveness) which are known to be associated with optimal child development. Control groups have often not been matched on social and other variables which might be expected to exert a significant influence upon parenting practices. In addition, the generalisability of

  12. Analysis and Optimization for Mobile Agent Communication

    Institute of Scientific and Technical Information of China (English)

    YANGBo; LIUDayou

    2005-01-01

    Communication performance is one of the most important factors affecting the efficiency of mobile agent system. Only traditional optimization techniques for communication performance are not enough, especially in large-scale intelligent mobile agent system, so more intelligent optimization techniques are needed. In the background, the paper studies communication of mobile agent system from the viewpoint of performance. The paper makes qualitative and quantitative analysis of four important factors that will affect the communication performance of mobile agent system and presents the communication performance optimization model. The model hasthree primary functions. First, the model provides a formalism method to describe the communication task and process of mobile agent. Second, the model provides a means to make quantitative analysis of the performance of mobile agent system. Third, the model can plan out an optimal communication scheme for mobile agent to minimize the cost of whole communication. The model could thus be a building block for the optimization of the communication behavior of mobile agent.

  13. Optimal Organizational Hierarchies: Source Coding: Disaster Relief

    CERN Document Server

    Murthy, G Rama

    2011-01-01

    ulticasting is an important communication paradigm for enabling the dissemination of information selectively. This paper considers the problem of optimal secure multicasting in a communication network captured through a graph (optimal is in an interesting sense) and provides a doubly optimal solution using results from source coding. It is realized that the solution leads to optimal design (in a well defined optimality sense) of organizational hierarchies captured through a graph. In this effort two novel concepts : prefix free path, graph entropy are introduced. Some results of graph entropy are provided. Also some results on Kraft inequality are discussed. As an application Hierarchical Hybrid Communication Network is utilized as a model of structured Mobile Adhoc network for utility in Disaster Management. Several new research problems that naturally emanate from this research are summarized.

  14. Pulmonary rehabilitation and COPD: providing patients a good environment for optimizing therapy

    OpenAIRE

    Corhay JL; Nguyen Dang D; Van Cauwenberge H; Louis R

    2013-01-01

    Jean-Louis Corhay, Delphine Nguyen Dang, Hélène Van Cauwenberge, Renaud Louis Department of Pneumology, Centre Hospitalier Universitaire du Sart-Tilman Liège, Liège, Belgium Abstract: Chronic obstructive pulmonary disease (COPD) is an obstructive and progressive airway disease associated with an important reduction in daily physical activity and psychological problems that contribute to the patient's disability and poor health-related quali...

  15. Dosing of ACE inhibitors in left ventricular dysfunction : Does current clinical dosing provide optimal benefit?

    NARCIS (Netherlands)

    Pinto, YM; van Geel, PP; Alkfaji, H; van Veldhuisen, DJ; van Gilst, WH

    1999-01-01

    In the present review, we discuss the role of clinical dosing of angiotensin converting enzyme (ACE) inhibitors in the treatment of left ventricular dysfunction. Although the precise mechanism of action of ACE inhibitors is still unresolved, the clinical efficacy of ACE inhibitors in the treatment o

  16. Do Cuticular Hydrocarbons Provide Sufficient Information for Optimal Sex Allocation in the Ant Formica exsecta?

    DEFF Research Database (Denmark)

    van Zweden, Jelle Stijn; Vitikainen, Emma; D'Ettorre, Patrizia;

    2011-01-01

    Split sex ratio theory predicts that when kin structure varies among colonies of social insects, in order to maximize the inclusive fitness, colonies with relatively high sister-sister relatedness should specialize in producing reproductive females, whereas in those with relatively low sister......-sister relatedness workers should bias their sex ratio towards males. However, in order to achieve this, workers need to be able to reliably assess the type of colony in which they live. The information on colony kin structure may be encoded in cuticular hydrocarbons (CHCs), assuming that genetic variability...... translates accurately into chemical variability. However, in genetically heterogeneous colonies, too accurate information may encourage the pursuit of individual interests through nepotistic behavior and reduce colony efficiency or cause social disruption. In this study, we estimated how well variability...

  17. Provide a method to Prediction of nodes movement to optimize Routing Algorithms in Ad Hoc Networks

    Directory of Open Access Journals (Sweden)

    E.jahani

    2012-06-01

    Full Text Available Ad hoc networks have been of great interest among scholars of the field, due to their flexibility, quick setup,high potentiality, and also their application in the battle field, fire, earthquakes, where there is no hope to setup infrastructure networks. network dynamic, high mobility of nodes, the nature of broadcast communication ,shortdurability of mobile devices batteries, transmission errors and as a result packet loss and limited bandwidth of bands, all cause the routing in those networks to be more difficult than the other networks.

  18. Provide optimized antidepressant monotherapy with multiple drugs before considering antidepressant polypharmacy

    OpenAIRE

    SAAH, Tammy; Garlow, Steven J.; Rapaport, Mark H.

    2014-01-01

    Summary Many patients with chronic or recurring major depressive disorder have suboptimal responses to the wide range of antidepressant medications available. When confronted with these patients, clinicians may augment the original antidepressant with other medications, including adjunctive treatment with a second or third antidepressant. Although it is a widely-used practice among psychiatrists and primary care physicians in high-income countries, evidence for the benefits of this type of an...

  19. Electrostatic Clustering and Free Energy Calculations Provide a Foundation for Protein Design and Optimization

    OpenAIRE

    Gorham, Ronald D.; Kieslich, Chris A.; Morikis, Dimitrios

    2010-01-01

    Electrostatic interactions are ubiquitous in proteins and dictate stability and function. In this review, we discuss several methods for the analysis of electrostatics in protein–protein interactions. We discuss alanine-scanning mutagenesis, Poisson–Boltzmann electrostatics, free energy calculations, electrostatic similarity distances, and hierarchical clustering of electrostatic potentials. Our recently developed computational framework, known as Analysis of Electrostatic Similarities Of Pro...

  20. Concepts of combinatorial optimization

    CERN Document Server

    Paschos, Vangelis Th

    2014-01-01

    Combinatorial optimization is a multidisciplinary scientific area, lying in the interface of three major scientific domains: mathematics, theoretical computer science and management.  The three volumes of the Combinatorial Optimization series aim to cover a wide range  of topics in this area. These topics also deal with fundamental notions and approaches as with several classical applications of combinatorial optimization.Concepts of Combinatorial Optimization, is divided into three parts:- On the complexity of combinatorial optimization problems, presenting basics about worst-case and randomi

  1. Optimization theory with applications

    CERN Document Server

    Pierre, Donald A

    1987-01-01

    Optimization principles are of undisputed importance in modern design and system operation. They can be used for many purposes: optimal design of systems, optimal operation of systems, determination of performance limitations of systems, or simply the solution of sets of equations. While most books on optimization are limited to essentially one approach, this volume offers a broad spectrum of approaches, with emphasis on basic techniques from both classical and modern work.After an introductory chapter introducing those system concepts that prevail throughout optimization problems of all typ

  2. Ranking USRDS provider specific SMRs from 1998-2001

    Science.gov (United States)

    Louis, Thomas A.; Paddock, Susan M.; Ridgeway, Greg

    2009-01-01

    Provider profiling (ranking/percentiling) is prevalent in health services research. Bayesian models coupled with optimizing a loss function provide an effective framework for computing non-standard inferences such as ranks. Inferences depend on the posterior distribution and should be guided by inferential goals. However, even optimal methods might not lead to definitive results and ranks should be accompanied by valid uncertainty assessments. We outline the Bayesian approach and use estimated Standardized Mortality Ratios (SMRs) in 1998-2001 from the United States Renal Data System (USRDS) as a platform to identify issues and demonstrate approaches. Our analyses extend Liu et al. (2004) by computing estimates developed by Lin et al. (2006) that minimize errors in classifying providers above or below a percentile cut-point, by combining evidence over multiple years via a first-order, autoregressive model on log(SMR), and by use of a nonparametric prior. Results show that ranks/percentiles based on maximum likelihood estimates of the SMRs and those based on testing whether an SMR = 1 substantially under-perform the optimal estimates. Combining evidence over the four years using the autoregressive model reduces uncertainty, improving performance over percentiles based on only one year. Furthermore, percentiles based on posterior probabilities of exceeding a properly chosen SMR threshold are essentially identical to those produced by minimizing classification loss. Uncertainty measures effectively calibrate performance, showing that considerable uncertainty remains even when using optimal methods. Findings highlight the importance of using loss function guided percentiles and the necessity of accompanying estimates with uncertainty assessments. PMID:19343106

  3. POSTDOC : THE HUMAN OPTIMIZATION

    Directory of Open Access Journals (Sweden)

    Satish Gajawada

    2013-12-01

    Full Text Available This paper is dedicated to everyone who is interested in the Artificial Intelligence. John Henry Holland proposed Genetic Algorithm in the early 1970s. Ant Colony Optimization was proposed by Marco Dorigo in 1992. Particle Swarm Optimization was introduced by Kennedy and Eberhart in 1995. Storn and Price introduced Differential Evolution in 1996. K.M. Passino introduced Bacterial Foraging Optimization Algorithm in 2002. In 2003, X.L. Li proposed Artificial Fish Swarm Algorithm. Artificial Bee Colony algorithm was introduced by Karaboga in 2005. In the past, researchers have explored behavior of chromosomes, birds, fishes, ants, bacteria, bees and so on to create excellent optimization methods for solving complex optimization problems. In this paper, Satish Gajawada proposed The Human Optimization. Humans progressed like anything. They help each other. There are so many plus points in Humans. In fact all optimization algorithms based on other beings are created by Humans. There is so much to explore in behavior of Human for creating awesome optimization algorithms. Artificial Fishes, birds, ants, bees etc have solved optimization problems. Similarly, optimization method based on Humans is expected to solve complex problems. This paper sets the trend for all optimization algorithms that come in future based on Humans.

  4. Evolutionary constrained optimization

    CERN Document Server

    Deb, Kalyanmoy

    2015-01-01

    This book makes available a self-contained collection of modern research addressing the general constrained optimization problems using evolutionary algorithms. Broadly the topics covered include constraint handling for single and multi-objective optimizations; penalty function based methodology; multi-objective based methodology; new constraint handling mechanism; hybrid methodology; scaling issues in constrained optimization; design of scalable test problems; parameter adaptation in constrained optimization; handling of integer, discrete and mix variables in addition to continuous variables; application of constraint handling techniques to real-world problems; and constrained optimization in dynamic environment. There is also a separate chapter on hybrid optimization, which is gaining lots of popularity nowadays due to its capability of bridging the gap between evolutionary and classical optimization. The material in the book is useful to researchers, novice, and experts alike. The book will also be useful...

  5. Particle Swarm Optimization

    Science.gov (United States)

    Venter, Gerhard; Sobieszczanski-Sobieski Jaroslaw

    2002-01-01

    The purpose of this paper is to show how the search algorithm known as particle swarm optimization performs. Here, particle swarm optimization is applied to structural design problems, but the method has a much wider range of possible applications. The paper's new contributions are improvements to the particle swarm optimization algorithm and conclusions and recommendations as to the utility of the algorithm, Results of numerical experiments for both continuous and discrete applications are presented in the paper. The results indicate that the particle swarm optimization algorithm does locate the constrained minimum design in continuous applications with very good precision, albeit at a much higher computational cost than that of a typical gradient based optimizer. However, the true potential of particle swarm optimization is primarily in applications with discrete and/or discontinuous functions and variables. Additionally, particle swarm optimization has the potential of efficient computation with very large numbers of concurrently operating processors.

  6. Interactive Topology Optimization

    DEFF Research Database (Denmark)

    Nobel-Jørgensen, Morten

    Interactivity is the continuous interaction between the user and the application to solve a task. Topology optimization is the optimization of structures in order to improve stiffness or other objectives. The goal of the thesis is to explore how topology optimization can be used in applications...... in an interactive and intuitive way. By creating such applications with an intuitive and simple user interface we allow non-engineers like designers and architects to easily experiment with boundary conditions, design domains and other optimization settings. This is in contrast to commercial topology optimization...... on theory of from human-computer interaction which is described in Chapter 2. Followed by a description of the foundations of topology optimization in Chapter 3. Our applications for topology optimization in 2D and 3D are described in Chapter 4 and a game which trains the human intuition of topology...

  7. CHINESE JOURNAL OF MECHANICAL ENGINEERING RELIABILITY AND OPTIMIZATION DESIGN OF NEW ROLLER ORIENTATION CLUTCH

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    The mechanical reliability and optimization theory on the method of reliability-optimization design for the new roller orientation clutch is provided. The result of reliability-optimization design is compared with the result of the conventional design method.

  8. Application of the optimal Latin hypercube design and radial basis function network to collaborative optimization

    Institute of Scientific and Technical Information of China (English)

    ZHAO Min; CUI Wei-cheng

    2007-01-01

    Improving the efficiency of ship optimization is crucial for modern ship design. Compared with traditional methods, multidisciplinary design optimization (MDO) is a more promising approach. For this reason, Collaborative Optimization (CO) is discussed and analyzed in this paper. As one of the most frequently applied MDO methods, CO promotes autonomy of disciplines while providing a coordinating mechanism guaranteeing progress toward an optimum and maintaining interdisciplinary compatibility. However, there are some difficulties in applying the conventional CO method, such as difficulties in choosing an initial point and tremendous computational requirements. For the purpose of overcoming these problems, optimal Latin hypercube design and Radial basis function network were applied to CO. Optimal Latin hypercube design is a modified Latin Hypercube design. Radial basis function network approximates the optimization model, and is updated during the optimization process to improve accuracy. It is shown by examples that the computing efficiency and robustness of this CO method are higher than with the conventional CO method.

  9. Contingency Contractor Optimization Phase 3 Sustainment Software Design Document - Contingency Contractor Optimization Tool - Prototype

    Energy Technology Data Exchange (ETDEWEB)

    Durfee, Justin David; Frazier, Christopher Rawls; Bandlow, Alisa; Jones, Katherine A

    2016-05-01

    This document describes the final software design of the Contingency Contractor Optimization Tool - Prototype. Its purpose is to provide the overall architecture of the software and the logic behind this architecture. Documentation for the individual classes is provided in the application Javadoc. The Contingency Contractor Optimization project is intended to address Department of Defense mandates by delivering a centralized strategic planning tool that allows senior decision makers to quickly and accurately assess the impacts, risks, and mitigation strategies associated with utilizing contract support. The Contingency Contractor Optimization Tool - Prototype was developed in Phase 3 of the OSD ATL Contingency Contractor Optimization project to support strategic planning for contingency contractors. The planning tool uses a model to optimize the Total Force mix by minimizing the combined total costs for selected mission scenarios. The model optimizes the match of personnel types (military, DoD civilian, and contractors) and capabilities to meet mission requirements as effectively as possible, based on risk, cost, and other requirements.

  10. DNA reaction networks: Providing a panoramic view

    Science.gov (United States)

    Wang, Fei; Fan, Chunhai

    2016-08-01

    A quantitative understanding of the functional landscape of a biochemical circuit can reveal the design rules required to optimize the circuit. Now, a high-throughput droplet-based microfluidic platform has been developed which enables high-resolution mapping of bifurcation diagrams for two nonlinear DNA networks.

  11. Optimality conditions for the numerical solution of optimization problems with PDE constraints :

    Energy Technology Data Exchange (ETDEWEB)

    Aguilo Valentin, Miguel Alejandro; Ridzal, Denis

    2014-03-01

    A theoretical framework for the numerical solution of partial di erential equation (PDE) constrained optimization problems is presented in this report. This theoretical framework embodies the fundamental infrastructure required to e ciently implement and solve this class of problems. Detail derivations of the optimality conditions required to accurately solve several parameter identi cation and optimal control problems are also provided in this report. This will allow the reader to further understand how the theoretical abstraction presented in this report translates to the application.

  12. Optimal flow for brown trout: Habitat - prey optimization.

    Science.gov (United States)

    Fornaroli, Riccardo; Cabrini, Riccardo; Sartori, Laura; Marazzi, Francesca; Canobbio, Sergio; Mezzanotte, Valeria

    2016-10-01

    The correct definition of ecosystem needs is essential in order to guide policy and management strategies to optimize the increasing use of freshwater by human activities. Commonly, the assessment of the optimal or minimum flow rates needed to preserve ecosystem functionality has been done by habitat-based models that define a relationship between in-stream flow and habitat availability for various species of fish. We propose a new approach for the identification of optimal flows using the limiting factor approach and the evaluation of basic ecological relationships, considering the appropriate spatial scale for different organisms. We developed density-environment relationships for three different life stages of brown trout that show the limiting effects of hydromorphological variables at habitat scale. In our analyses, we found that the factors limiting the densities of trout were water velocity, substrate characteristics and refugia availability. For all the life stages, the selected models considered simultaneously two variables and implied that higher velocities provided a less suitable habitat, regardless of other physical characteristics and with different patterns. We used these relationships within habitat based models in order to select a range of flows that preserve most of the physical habitat for all the life stages. We also estimated the effect of varying discharge flows on macroinvertebrate biomass and used the obtained results to identify an optimal flow maximizing habitat and prey availability. PMID:27320735

  13. Workshop on Computational Optimization

    CERN Document Server

    2015-01-01

    Our everyday life is unthinkable without optimization. We try to minimize our effort and to maximize the achieved profit. Many real world and industrial problems arising in engineering, economics, medicine and other domains can be formulated as optimization tasks. This volume is a comprehensive collection of extended contributions from the Workshop on Computational Optimization 2013. It presents recent advances in computational optimization. The volume includes important real life problems like parameter settings for controlling processes in bioreactor, resource constrained project scheduling, problems arising in transport services, error correcting codes, optimal system performance and energy consumption and so on. It shows how to develop algorithms for them based on new metaheuristic methods like evolutionary computation, ant colony optimization, constrain programming and others.

  14. Energy optimization system

    Science.gov (United States)

    Zhou, Zhi; de Bedout, Juan Manuel; Kern, John Michael; Biyik, Emrah; Chandra, Ramu Sharat

    2013-01-22

    A system for optimizing customer utility usage in a utility network of customer sites, each having one or more utility devices, where customer site is communicated between each of the customer sites and an optimization server having software for optimizing customer utility usage over one or more networks, including private and public networks. A customer site model for each of the customer sites is generated based upon the customer site information, and the customer utility usage is optimized based upon the customer site information and the customer site model. The optimization server can be hosted by an external source or within the customer site. In addition, the optimization processing can be partitioned between the customer site and an external source.

  15. Optimality in Data Assimilation

    Science.gov (United States)

    Nearing, Grey; Yatheendradas, Soni

    2016-04-01

    It costs a lot more to develop and launch an earth-observing satellite than it does to build a data assimilation system. As such, we propose that it is important to understand the efficiency of our assimilation algorithms at extracting information from remote sensing retrievals. To address this, we propose that it is necessary to adopt completely general definition of "optimality" that explicitly acknowledges all differences between the parametric constraints of our assimilation algorithm (e.g., Gaussianity, partial linearity, Markovian updates) and the true nature of the environmetnal system and observing system. In fact, it is not only possible, but incredibly straightforward, to measure the optimality (in this more general sense) of any data assimilation algorithm as applied to any intended model or natural system. We measure the information content of remote sensing data conditional on the fact that we are already running a model and then measure the actual information extracted by data assimilation. The ratio of the two is an efficiency metric, and optimality is defined as occurring when the data assimilation algorithm is perfectly efficient at extracting information from the retrievals. We measure the information content of the remote sensing data in a way that, unlike triple collocation, does not rely on any a priori presumed relationship (e.g., linear) between the retrieval and the ground truth, however, like triple-collocation, is insensitive to the spatial mismatch between point-based measurements and grid-scale retrievals. This theory and method is therefore suitable for use with both dense and sparse validation networks. Additionally, the method we propose is *constructive* in the sense that it provides guidance on how to improve data assimilation systems. All data assimilation strategies can be reduced to approximations of Bayes' law, and we measure the fractions of total information loss that are due to individual assumptions or approximations in the

  16. Pareto-optimal alloys

    DEFF Research Database (Denmark)

    Bligaard, Thomas; Johannesson, Gisli Holmar; Ruban, Andrei;

    2003-01-01

    Large databases that can be used in the search for new materials with specific properties remain an elusive goal in materials science. The problem is complicated by the fact that the optimal material for a given application is usually a compromise between a number of materials properties and the ......, the Pareto-optimal set, to determine optimal alloy solutions for the compromise between low compressibility, high stability, and cost....

  17. POSTDOC : THE HUMAN OPTIMIZATION

    OpenAIRE

    Satish Gajawada

    2013-01-01

    This paper is dedicated to everyone who is interested in the Artificial Intelligence. John Henry Holland proposed Genetic Algorithm in the early 1970s. Ant Colony Optimization was proposed by Marco Dorigo in 1992. Particle Swarm Optimization was introduced by Kennedy and Eberhart in 1995. Storn and Price introduced Differential Evolution in 1996. K.M. Passino introduced Bacterial Foraging Optimization Algorithm in 2002. In 2003, X.L. Li proposed Artificial Fish Swarm Algorithm....

  18. Optimal Sales Force Compensation

    OpenAIRE

    Matthias Kräkel; Anja Schöttner

    2014-01-01

    We analyze a dynamic moral-hazard model to derive optimal sales force compensation plans without imposing any ad hoc restrictions on the class of feasible incentive contracts. We explain when the compensation plans that are most common in practice - fixed salaries, quota-based bonuses, commissions, or a combination thereof - are optimal. Fixed salaries are optimal for small revenue-cost ratios. Quota-based bonuses (commissions) should be used if the revenue-cost ratio takes intermediate (larg...

  19. Search engine optimization

    OpenAIRE

    Jež, Tomáš

    2012-01-01

    This diploma thesis deals with the analysis of optimizing websites for search engines (Search Engine Optimization – SEO), summarizes history and evolution in this area and describes current trends in the given topic. The practical part of the thesis consists of case study, which applies knowledge gained from the literal research to a practical example. It includes analysis of an existing company’s website and suggestions for a complex optimization strategy.

  20. Optimal elimination contest

    OpenAIRE

    Knyazev, Dmitriy

    2013-01-01

    We consider multi-stage elimination contests, where agents’ efforts at different stages generate some output for the organizers. Depending on the output function we characterize the optimal prize structure of the tournament and show that it is almost efficient. We have found that in some cases quite a strange structure turns out to be optimal, under which prizes for agents are smaller at the later stages than at the earlier ones. Sufficient conditions for optimality of such structures ...

  1. Topology Optimization of Metamaterial-Based Electrically Small Antennas

    DEFF Research Database (Denmark)

    Erentok, Aycan; Sigmund, Ole

    2007-01-01

    A topology optimized metamaterial-based electrically small antenna configuration that is independent of a specific spherical and/or cylindrical metamaterial shell design is demonstrated. Topology optimization is shown to provide the optimal value and placement of a given ideal metamaterial in space...

  2. Time optimal paths for a constant speed unicycle

    Energy Technology Data Exchange (ETDEWEB)

    Reister, D.B.

    1991-01-01

    This paper uses the Pontryagin maximum principle to find time optimal paths for a constant speed unicycle. The time optimal paths consist of sequences of arcs of circles and straight lines. The maximum principle introduced concepts (dual variables, bang-bang solutions, singular solutions, and transversality conditions) that provide important insight into the nature of the time optimal paths. 10 refs., 6 figs.

  3. Deterministic Global Optimization

    CERN Document Server

    Scholz, Daniel

    2012-01-01

    This monograph deals with a general class of solution approaches in deterministic global optimization, namely the geometric branch-and-bound methods which are popular algorithms, for instance, in Lipschitzian optimization, d.c. programming, and interval analysis.It also introduces a new concept for the rate of convergence and analyzes several bounding operations reported in the literature, from the theoretical as well as from the empirical point of view. Furthermore, extensions of the prototype algorithm for multicriteria global optimization problems as well as mixed combinatorial optimization

  4. OPTIMAL DELAUNAY TRIANGULATIONS

    Institute of Scientific and Technical Information of China (English)

    Long Chen; Jin-chao Xu

    2004-01-01

    The Delaunay triangulation, in both classic and more generalized sense, is studied in this paper for minimizing the linear interpolation error (measure in Lp-norm) for a given function. The classic Delaunay triangulation can then be characterized as an optimal triangulation that minimizes the interpolation error for the isotropic function ‖x‖2 among all the triangulations with a given set of vertices. For a more general function, a functiondependent Delaunay triangulation is then defined to be an optimal triangulation that minimizes the interpolation error for this .function and its construction can be obtained by a simple lifting and projection procedure.The optimal Delaunay triangulation is the one that minimizes the interpolation error among all triangulations with the same number of vertices, i.e. the distribution of vertices are optimized in order to minimize the interpolation error. Such a function-dependent optimal Delaunay triangulation is proved to exist for any given convex continuous function.On an optimal Delaunay triangulation associated with f, it is proved that ▽f at the interior vertices can be exactly recovered by the function values on its neighboring vertices.Since the optimal Delaunay triangulation is difficult to obtain in practice, the concept of nearly optimal triangulation is introduced and two sufficient conditions are presented for a triangulation to be nearly optimal.

  5. Optimal Recurrence Grammars

    CERN Document Server

    Graben, Peter beim; Fröhlich, Flavio

    2015-01-01

    We optimally estimate the recurrence structure of a multivariate time series by Markov chains obtained from recurrence grammars. The goodness of fit is assessed with a utility function derived from the stochastic Markov transition matrix. It assumes a local maximum for the distance threshold of the optimal recurrence grammar. We validate our approach by means of the nonlinear Lorenz system and its linearized stochastic surrogates. Finally we apply our optimization procedure to the segmentation of neurophysiological time series obtained from anesthetized animals. We propose the number of optimal recurrence domains as a statistic for classifying an animals' state of consciousness.

  6. Pointer state optimization

    Energy Technology Data Exchange (ETDEWEB)

    Heese, Raoul; Freyberger, Matthias [Institut fuer Quantenphysik, Universitaet Ulm, D-89069 Ulm (Germany)

    2012-07-01

    Arthurs and Kelly's simultaneous measurements in the spirit of von Neumann involve two pointer systems which are coupled to a quantum system to be measured. It seems natural to ask which pointers are optimal for a given system state at hand. This, however, requires to define optimality, which can on the one hand be approached with the help of traditional uncertainty relations, or, on the other hand, by means of entropic measures. Both concepts can lead to totally different directions of optimization. Similarly, the question arises whether there even exist such optimal pointer states for all possible system states to be measured.

  7. Constructing new optimal entanglement witnesses

    CERN Document Server

    Chruscinski, Dariusz; Sarbicki, Gniewomir

    2009-01-01

    We provide a new class of indecomposable entanglement witnesses. In 4 x 4 case it reproduces the well know Breuer-Hall witness. We prove that these new witnesses are optimal and atomic, i.e. they are able to detect the "weakest" quantum entanglement encoded into states with positive partial transposition (PPT). Equivalently, we provide a new construction of indecomposable atomic maps in the algebra of 2k x 2k complex matrices. It is shown that their structural physical approximations give rise to entanglement breaking channels. This result supports recent conjecture by Korbicz et. al.

  8. Optimal Investment in Structured Bonds

    DEFF Research Database (Denmark)

    Jessen, Pernille; Jørgensen, Peter Løchte

    2012-01-01

    of the article is to provide possible explanations for the puzzle of why small retail investors hold structured bonds. The investment universe consists of a stock index, a risk-free bank account, and a structured bond containing an option written on another index. We apply expected utility maximization...... and consider different utility functions and trading strategies. Our results show that investors should include structured bonds in their optimal portfolio only if they cannot access the index underlying the option directly and only if the products then provide sufficient diversification to compensate...

  9. Global optimization of digital circuits

    Science.gov (United States)

    Flandera, Richard

    1991-12-01

    This thesis was divided into two tasks. The first task involved developing a parser which could translate a behavioral specification in Very High-Speed Integrated Circuits (VHSIC) Hardware Description Language (VHDL) into the format used by an existing digital circuit optimization tool, Boolean Reasoning In Scheme (BORIS). Since this tool is written in Scheme, a dialect of Lisp, the parser was also written in Scheme. The parser was implemented is Artez's modification of Earley's Algorithm. Additionally, a VHDL tokenizer was implemented in Scheme and a portion of the VHDL grammar was converted into the format which the parser uses. The second task was the incorporation of intermediate functions into BORIS. The existing BORIS contains a recursive optimization system that optimizes digital circuits by using circuit outputs as inputs into other circuits. Intermediate functions provide a greater selection of functions to be used as circuits inputs. Using both intermediate functions and output functions, the costs of the circuits in the test set were reduced by 43 percent. This is a 10 percent reduction when compared to the existing recursive optimization system. Incorporating intermediate functions into BORIS required the development of an intermediate-function generator and a set of control methods to keep the computation time from increasing exponentially.

  10. Optimal control of blending and melting of copper concentrates

    Science.gov (United States)

    Imanbekova, Ulzhan; Hotra, Oleksandra; Koshimbayev, Shamil; Popiel, Piotr; Tanaś, Jacek

    2015-09-01

    The mathematical models of the melting process, the optimization criterion and constraints on the input and controlling variables and the values of the conductivities of the melt under the electrodes and the phase voltages are used to solve the optimization problem of the electrical regime of the electric furnace. In this paper the optimal variant of the electrical regime of the furnace for the electromelting and blending processing of copper concentrates is considered, which can be provided by the optimal immersion of electrodes. The optimal parameters of the technological process of electromelting and blending are calculated. The proposed mathematical model could be applied for melting process optimization.

  11. Optimal Differentiation Pricing Policy with Linear Demand Function

    Institute of Scientific and Technical Information of China (English)

    唐小我; 张明善

    2003-01-01

    The main objective in any marketing effort is to consider the optimal conditions to maximize revenue and profit. The optimal market segmentation pricing strategy is investigated under the assumption of an aggregate linear demand function. The optimal conditions to maximize revenue and profit, two closely correlative problems, are obtained respectively. The differentiation pricing policy described here can be easily applied in practice. A numerical example is provided which vividly illustrates the advantage of applying optimal policies.

  12. Optimization of surface maintenance

    International Nuclear Information System (INIS)

    The present conference paper deals with methods of optimizing the surface maintenance of steel-made offshore installations. The paper aims at identifying important approaches to the problems regarding the long-range planning of an economical and cost effective maintenance program. The methods of optimization are based on the obtained experiences from the maintenance of installations on the Norwegian continental shelf. 3 figs

  13. Optimization in power systems

    Energy Technology Data Exchange (ETDEWEB)

    Costa, Geraldo R.M. da [Sao Paulo Univ., Sao Carlos, SP (Brazil). Escola de Engenharia

    1994-12-31

    This paper discusses, partially, the advantages and the disadvantages of the optimal power flow. It shows some of the difficulties of implementation and proposes solutions. An analysis is made comparing the power flow, BIGPOWER/CESP, and the optimal power flow, FPO/SEL, developed by the author, when applied to the CEPEL-ELETRONORTE and CESP systems. (author) 8 refs., 5 tabs.

  14. Natural selection and optimality

    International Nuclear Information System (INIS)

    It is assumed that Darwin's principle translates into optimal regimes of operation along metabolical pathways in an ecological system. Fitness is then defined in terms of the distance of a given individual's thermodynamic parameters from their optimal values. The method is illustrated testing maximum power as a criterion of merit satisfied in ATP synthesis. (author). 26 refs, 2 figs

  15. Food Alone May Not Provide Sufficient Micronutrients for Preventing Deficiency

    Directory of Open Access Journals (Sweden)

    Misner Bill

    2006-06-01

    Full Text Available Abstract The American Dietetic Association (ADA has stated that the best nutritional strategy for promoting optimal health and reducing the risk of chronic disease is to wisely choose a wide variety of foods. Seventy diets were computer analyzed from the menu of athletes or sedentary subjects seeking to improve the quality of micronutrient intake from food choices. All of these dietary analyses fell short of the recommended 100% RDA micronutrient level from food alone. Therefore, based on diets analyzed for adequacy or inadequacy of macronutrients and micronutrients, a challenging question is proposed: "Does food selection alone provide 100% of the former RDA or newer RDI micronutrient recommended daily requirement?"

  16. Identifiable Data Files - Medicare Provider Analysis and ...

    Data.gov (United States)

    U.S. Department of Health & Human Services — The Medicare Provider Analysis and Review (MEDPAR) File contains data from claims for services provided to beneficiaries admitted to Medicare certified inpatient...

  17. Dairies, Published in Not Provided, US Army.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Dairies dataset as of Not Provided. Data by this publisher are often provided in Not Applicable coordinate system; in a Not Applicable projection; The extent...

  18. Discussing Diabetes with Your Healthcare Provider

    Science.gov (United States)

    ... of this page please turn Javascript on. Feature: Diabetes Discussing Diabetes with Your Healthcare Provider Past Issues / Fall 2009 Table of Contents Diabetes Medicines—Always Discuss Them with Your Healthcare Provider ...

  19. Internet Provider Facilities, Published in 2006, Farmer.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Internet Provider Facilities dataset, was produced all or in part from Field Survey/GPS information as of 2006. Data by this publisher are often provided in...

  20. Institutional Provider and Beneficiary Summary PUF

    Data.gov (United States)

    U.S. Department of Health & Human Services — The CMS IPBS PUFs are aggregated files in which each record summarizes information for a particular institutional provider. An institutional provider refers to a...

  1. Insure Kids Now (IKN) (Dental Care Providers)

    Data.gov (United States)

    U.S. Department of Health & Human Services — The Insure Kids Now (IKN) Dental Care Providers in Your State locator tool is provided, in accordance with the Children's Health Insurance Program Reauthorization...

  2. An analysis of healthcare providers' online ratings

    OpenAIRE

    Erik Black; Lindsay Thompson; Heidi Saliba; Kara Dawson; Nicole Paradise Black

    2009-01-01

    Background Many websites allow consumers to evaluate their healthcare experience yet scant data exist that explore the type and content of reviews. Objective To evaluate and describe online healthcare provider reviews. Methods We analysed 16 703 ratings on 6101 providers from four US cities. Ratings spanned five categories and an overall provider score. We also performed text analyses of narrative commentary (n = 15 952). Results Providers had a high mean score for each category (3.7...

  3. Workshop on Computational Optimization

    CERN Document Server

    2016-01-01

    This volume is a comprehensive collection of extended contributions from the Workshop on Computational Optimization 2014, held at Warsaw, Poland, September 7-10, 2014. The book presents recent advances in computational optimization. The volume includes important real problems like parameter settings for controlling processes in bioreactor and other processes, resource constrained project scheduling, infection distribution, molecule distance geometry, quantum computing, real-time management and optimal control, bin packing, medical image processing, localization the abrupt atmospheric contamination source and so on. It shows how to develop algorithms for them based on new metaheuristic methods like evolutionary computation, ant colony optimization, constrain programming and others. This research demonstrates how some real-world problems arising in engineering, economics, medicine and other domains can be formulated as optimization tasks.

  4. Modern optimization with R

    CERN Document Server

    Cortez, Paulo

    2014-01-01

    The goal of this book is to gather in a single document the most relevant concepts related to modern optimization methods, showing how such concepts and methods can be addressed using the open source, multi-platform R tool. Modern optimization methods, also known as metaheuristics, are particularly useful for solving complex problems for which no specialized optimization algorithm has been developed. These methods often yield high quality solutions with a more reasonable use of computational resources (e.g. memory and processing effort). Examples of popular modern methods discussed in this book are: simulated annealing; tabu search; genetic algorithms; differential evolution; and particle swarm optimization. This book is suitable for undergraduate and graduate students in Computer Science, Information Technology, and related areas, as well as data analysts interested in exploring modern optimization methods using R.

  5. Bacterial Colony Optimization

    Directory of Open Access Journals (Sweden)

    Ben Niu

    2012-01-01

    Full Text Available This paper investigates the behaviors at different developmental stages in Escherichia coli (E. coli lifecycle and developing a new biologically inspired optimization algorithm named bacterial colony optimization (BCO. BCO is based on a lifecycle model that simulates some typical behaviors of E. coli bacteria during their whole lifecycle, including chemotaxis, communication, elimination, reproduction, and migration. A newly created chemotaxis strategy combined with communication mechanism is developed to simplify the bacterial optimization, which is spread over the whole optimization process. However, the other behaviors such as elimination, reproduction, and migration are implemented only when the given conditions are satisfied. Two types of interactive communication schemas: individuals exchange schema and group exchange schema are designed to improve the optimization efficiency. In the simulation studies, a set of 12 benchmark functions belonging to three classes (unimodal, multimodal, and rotated problems are performed, and the performances of the proposed algorithms are compared with five recent evolutionary algorithms to demonstrate the superiority of BCO.

  6. Flight plan optimization

    Science.gov (United States)

    Dharmaseelan, Anoop; Adistambha, Keyne D.

    2015-05-01

    Fuel cost accounts for 40 percent of the operating cost of an airline. Fuel cost can be minimized by planning a flight on optimized routes. The routes can be optimized by searching best connections based on the cost function defined by the airline. The most common algorithm that used to optimize route search is Dijkstra's. Dijkstra's algorithm produces a static result and the time taken for the search is relatively long. This paper experiments a new algorithm to optimize route search which combines the principle of simulated annealing and genetic algorithm. The experimental results of route search, presented are shown to be computationally fast and accurate compared with timings from generic algorithm. The new algorithm is optimal for random routing feature that is highly sought by many regional operators.

  7. Stability versus Optimality

    Science.gov (United States)

    Inanloo, B.

    2011-12-01

    The Caspian Sea is considered to be the largest inland body of water in the world, which located between the Caucasus Mountains and Central Asia. The Caspian Sea has been a source of the most contentious international conflicts between five littoral states now borders the sea: Azerbaijan, Iran, Kazakhstan, Russia, and Turkmenistan. The conflict over the legal status of this international body of water as an aftermath of the breakup of the Soviet Union in 1991. Since then the parties have been negotiating without coming up with any agreement neither on the ownerships of waters, nor the oil and natural gas beneath them. The number of involved stakeholders, the unusual characteristics of the Caspian Sea in considering it as a lake or a sea, and a large number of external parties are interested in the valuable resources of the Sea has made this conflict complex and unique. This paper intends to apply methods to find the best allocation schemes considering acceptability and stability of selected solution to share the Caspian Sea and its resources fairly and efficiently. Although, there are several allocation methods in solving such allocation problems, however, most of those seek a socially optimal solution that can satisfy majority of criteria or decision makers, while, in practice, especially in multi-nation problems, such solution may not be necessarily a stable solution and to be acceptable to all parties. Hence, there is need to apply a method that considers stability and acceptability of solutions to find a solution with high chance to be agreed upon that. Application of some distance-based methods in studying the Caspian Sea conflict provides some policy insights useful for finding solutions that can resolve the dispute. In this study, we use methods such as Goal Programming, Compromise Programming, and considering stability of solution the logic of Power Index is used to find a division rule that is stable negotiators. The results of this study shows that the

  8. 5 CFR 890.910 - Provider information.

    Science.gov (United States)

    2010-01-01

    ... 5 Administrative Personnel 2 2010-01-01 2010-01-01 false Provider information. 890.910 Section 890.910 Administrative Personnel OFFICE OF PERSONNEL MANAGEMENT (CONTINUED) CIVIL SERVICE REGULATIONS..., and FEHB Benefit Payments § 890.910 Provider information. The hospital provider information used...

  9. Optimal design and optimal control of structures undergoing finite rotations and elastic deformations

    CERN Document Server

    Ibrahimbegović, A; Kučerová, A; Villon, P; 10.1002/nme.1150

    2009-01-01

    In this work we deal with the optimal design and optimal control of structures undergoing large rotations. In other words, we show how to find the corresponding initial configuration and the corresponding set of multiple load parameters in order to recover a desired deformed configuration or some desirable features of the deformed configuration as specified more precisely by the objective or cost function. The model problem chosen to illustrate the proposed optimal design and optimal control methodologies is the one of geometrically exact beam. First, we present a non-standard formulation of the optimal design and optimal control problems, relying on the method of Lagrange multipliers in order to make the mechanics state variables independent from either design or control variables and thus provide the most general basis for developing the best possible solution procedure. Two different solution procedures are then explored, one based on the diffuse approximation of response function and gradient method and t...

  10. Optimal intervention strategies for tuberculosis

    Science.gov (United States)

    Bowong, Samuel; Aziz Alaoui, A. M.

    2013-06-01

    This paper deals with the problem of optimal control of a deterministic model of tuberculosis (abbreviated as TB for tubercle bacillus). We first present and analyze an uncontrolled tuberculosis model which incorporates the essential biological and epidemiological features of the disease. The model is shown to exhibit the phenomenon of backward bifurcation, where a stable disease-free equilibrium co-exists with one or more stable endemic equilibria when the associated basic reproduction number is less than the unity. Based on this continuous model, the tuberculosis control is formulated and solved as an optimal control problem, indicating how control terms on the chemoprophylaxis and detection should be introduced in the population to reduce the number of individuals with active TB. Results provide a framework for designing the cost-effective strategies for TB with two intervention methods.

  11. Optimally Training a Cascade Classifier

    CERN Document Server

    Shen, Chunhua; Hengel, Anton van den

    2010-01-01

    Cascade classifiers are widely used in real-time object detection. Different from conventional classifiers that are designed for a low overall classification error rate, a classifier in each node of the cascade is required to achieve an extremely high detection rate and moderate false positive rate. Although there are a few reported methods addressing this requirement in the context of object detection, there is no a principled feature selection method that explicitly takes into account this asymmetric node learning objective. We provide such an algorithm here. We show a special case of the biased minimax probability machine has the same formulation as the linear asymmetric classifier (LAC) of \\cite{wu2005linear}. We then design a new boosting algorithm that directly optimizes the cost function of LAC. The resulting totally-corrective boosting algorithm is implemented by the column generation technique in convex optimization. Experimental results on object detection verify the effectiveness of the proposed bo...

  12. Big data optimization recent developments and challenges

    CERN Document Server

    2016-01-01

    The main objective of this book is to provide the necessary background to work with big data by introducing some novel optimization algorithms and codes capable of working in the big data setting as well as introducing some applications in big data optimization for both academics and practitioners interested, and to benefit society, industry, academia, and government. Presenting applications in a variety of industries, this book will be useful for the researchers aiming to analyses large scale data. Several optimization algorithms for big data including convergent parallel algorithms, limited memory bundle algorithm, diagonal bundle method, convergent parallel algorithms, network analytics, and many more have been explored in this book.

  13. Essentially Optimal Universally Composable Oblivious Transfer

    DEFF Research Database (Denmark)

    Damgård, Ivan Bjerre; Nielsen, Jesper Buus; Orlandi, Claudio

    2009-01-01

    Oblivious transfer is one of the most important cryptographic primitives, both for theoretical and practical reasons and several protocols were proposed during the years. We provide the first oblivious transfer protocol which is simultaneously optimal on the following list of parameters: Security....... Communication complexity: it communicates O(1) group elements to transfer one out of two group elements. The Big-O notation hides 32, meaning that the communication is probably not optimal, but is essentially optimal in that the overhead is at least constant. Our construction is based on pairings, and we assume...

  14. Optimized QoS Routing Algorithm

    Institute of Scientific and Technical Information of China (English)

    石明洪; 王思兵; 白英彩

    2004-01-01

    QoS routing is one of the key technologies for providing guaranteed service in IP networks. The paper focuses on the optimization problem for bandwidth constrained QoS routing, and proposes an optimal algorithm based on the global optimization of path bandwidth and hop counts. The main goal of the algorithm is to minimize the consumption of network resource, and at the same time to minimize the network congestion caused by irrational path selection. The simulation results show that our algorithm has lower call blocking rate and higher throughput than traditional algorithms.

  15. Variable ordering structures in vector optimization

    CERN Document Server

    Eichfelder, Gabriele

    2014-01-01

    This book provides an introduction to vector optimization with variable ordering structures, i.e., to optimization problems with a vector-valued objective function where the elements in the objective space are compared based on a variable ordering structure: instead of a partial ordering defined by a convex cone, we see a whole family of convex cones, one attached to each element of the objective space. The book starts by presenting several applications that have recently sparked new interest in these optimization problems, and goes on to discuss fundamentals and important results on a wide ra

  16. Supply chain management and optimization in manufacturing

    CERN Document Server

    Pirim, Harun; Yilbas, Bekir Sami

    2014-01-01

    This book introduces general supply chain terminology particularly for novice readers, state of the art supply chain management and optimization issues and problems in manufacturing. The book provides insights for making supply chain decisions, planning and scheduling through supply chain network. It introduces optimization problems, i.e. transportation of raw materials, products and location, inventory of plants, warehouses and retailers, faced throughout the supply chain network.

  17. Metaheuristics for bi-level optimization

    CERN Document Server

    2013-01-01

    This book provides a complete background on metaheuristics to solve complex bi-level optimization problems (continuous/discrete, mono-objective/multi-objective) in a diverse range of application domains. Readers learn to solve large scale bi-level optimization problems by efficiently combining metaheuristics with complementary metaheuristics and mathematical programming approaches. Numerous real-world examples of problems demonstrate how metaheuristics are applied in such fields as networks, logistics and transportation, engineering design, finance and security.

  18. Ant colony optimization and constraint programming

    CERN Document Server

    Solnon, Christine

    2013-01-01

    Ant colony optimization is a metaheuristic which has been successfully applied to a wide range of combinatorial optimization problems. The author describes this metaheuristic and studies its efficiency for solving some hard combinatorial problems, with a specific focus on constraint programming. The text is organized into three parts. The first part introduces constraint programming, which provides high level features to declaratively model problems by means of constraints. It describes the main existing approaches for solving constraint satisfaction problems, including complete tree search

  19. Optimizing Sustainable Geothermal Heat Extraction

    Science.gov (United States)

    Patel, Iti; Bielicki, Jeffrey; Buscheck, Thomas

    2016-04-01

    Geothermal heat, though renewable, can be depleted over time if the rate of heat extraction exceeds the natural rate of renewal. As such, the sustainability of a geothermal resource is typically viewed as preserving the energy of the reservoir by weighing heat extraction against renewability. But heat that is extracted from a geothermal reservoir is used to provide a service to society and an economic gain to the provider of that service. For heat extraction used for market commodities, sustainability entails balancing the rate at which the reservoir temperature renews with the rate at which heat is extracted and converted into economic profit. We present a model for managing geothermal resources that combines simulations of geothermal reservoir performance with natural resource economics in order to develop optimal heat mining strategies. Similar optimal control approaches have been developed for managing other renewable resources, like fisheries and forests. We used the Non-isothermal Unsaturated-saturated Flow and Transport (NUFT) model to simulate the performance of a sedimentary geothermal reservoir under a variety of geologic and operational situations. The results of NUFT are integrated into the optimization model to determine the extraction path over time that maximizes the net present profit given the performance of the geothermal resource. Results suggest that the discount rate that is used to calculate the net present value of economic gain is a major determinant of the optimal extraction path, particularly for shallower and cooler reservoirs, where the regeneration of energy due to the natural geothermal heat flux is a smaller percentage of the amount of energy that is extracted from the reservoir.

  20. Modular optimization code package: MOZAIK

    Science.gov (United States)

    Bekar, Kursat B.

    existing beam port configuration of the Penn State Breazeale Reactor (PSBR) was designed to test and validate the code package in its entirety, as well as its modules separately. The selected physics code, TORT, and the requisite data such as source distribution, cross-sections, and angular quadratures were comprehensively tested with these computational models. The modular feature and the parallel performance of the code package were also examined using these computational models. Another outcome of these computational models is to provide the necessary background information for determining the optimal shape of the D2O moderator tank for the new beam tube configurations for the PSBR's beam port facility. The first mission of the code package was completed successfully by determining the optimal tank shape which was sought for the current beam tube configuration and two new beam tube configurations for the PSBR's beam port facility. The performance of the new beam tube configurations and the current beam tube configuration were evaluated with the new optimal tank shapes determined by MOZAIK. Furthermore, the performance of the code package with the two different optimization strategies were analyzed showing that while GA is capable of achieving higher thermal beam intensity for a given beam tube setup, Min-max produces an optimal shape that is more amenable to machining and manufacturing. The optimal D2O moderator tank shape determined by MOZAIK with the current beam port configuration improves the thermal neutron beam intensity at the beam port exit end by 9.5%. Similarly, the new tangential beam port configuration (beam port near the core interface) with the optimal moderator tank shape determined by MOZAIK improves the thermal neutron beam intensity by a factor of 1.4 compared to the existing beam port configuration (with the existing D2O moderator tank). Another new beam port configuration, radial beam tube configuration, with the optimal moderator tank shape

  1. Data Service Provider Cost Estimation Tool

    Science.gov (United States)

    Fontaine, Kathy; Hunolt, Greg; Booth, Arthur L.; Banks, Mel

    2011-01-01

    The Data Service Provider Cost Estimation Tool (CET) and Comparables Database (CDB) package provides to NASA s Earth Science Enterprise (ESE) the ability to estimate the full range of year-by-year lifecycle cost estimates for the implementation and operation of data service providers required by ESE to support its science and applications programs. The CET can make estimates dealing with staffing costs, supplies, facility costs, network services, hardware and maintenance, commercial off-the-shelf (COTS) software licenses, software development and sustaining engineering, and the changes in costs that result from changes in workload. Data Service Providers may be stand-alone or embedded in flight projects, field campaigns, research or applications projects, or other activities. The CET and CDB package employs a cost-estimation-by-analogy approach. It is based on a new, general data service provider reference model that provides a framework for construction of a database by describing existing data service providers that are analogs (or comparables) to planned, new ESE data service providers. The CET implements the staff effort and cost estimation algorithms that access the CDB and generates the lifecycle cost estimate for a new data services provider. This data creates a common basis for an ESE proposal evaluator for considering projected data service provider costs.

  2. 4th Optimization Day

    CERN Document Server

    Eberhard, Andrew; Ralph, Daniel; Glover, Barney M

    1999-01-01

    Although the monograph Progress in Optimization I: Contributions from Aus­ tralasia grew from the idea of publishing a proceedings of the Fourth Optimiza­ tion Day, held in July 1997 at the Royal Melbourne Institute of Technology, the focus soon changed to a refereed volume in optimization. The intention is to publish a similar book annually, following each Optimization Day. The idea of having an annual Optimization Day was conceived by Barney Glover; the first of these Optimization Days was held in 1994 at the University of Ballarat. Barney hoped that such a yearly event would bring together the many, but widely dispersed, researchers in Australia who were publishing in optimization and related areas such as control. The first Optimization Day event was followed by similar conferences at The University of New South Wales (1995), The University of Melbourne (1996), the Royal Melbourne Institute of Technology (1997), and The University of Western Australia (1998). The 1999 conference will return to Ballarat ...

  3. Judo Biomechanical Optimization

    CERN Document Server

    Sacripanti, Attilio

    2016-01-01

    In this paper, for the first time, there is comprehensively tackling the problem of biomechanical optimization of a sport of situation such as judo. Starting from the optimization of more simple sports, optimization of this kind of complex sports is grounded on a general physics tool such as the analysis of variation. The objective function is divided for static and dynamic situation of Athletes couple, and it is proposed also a sort of dynamic programming problem Strategic Optimization. A dynamic programming problem is an optimization problem in which decisions have to be taken sequentially over several time periods linked in some fashion. A strategy for a dynamic programming problem is just a contingency plan, a plan that specifies what is to be done at each stage as a function of all that has transpired up to that point. It is possible to demonstrate, under some conditions, that a Markovian optimal strategy is an optimal strategy for the dynamic programming problem under examination. At last we try to appr...

  4. Home Care Providers to the Rescue

    DEFF Research Database (Denmark)

    Hansen, Steen M; Brøndum, Stig; Thomas, Grethe;

    2015-01-01

    AIM: To describe the implementation of a novel first-responder programme in which home care providers equipped with automated external defibrillators (AEDs) were dispatched in parallel with existing emergency medical services in the event of a suspected out-of-hospital cardiac arrest (OHCA......). METHODS: We evaluated a one-year prospective study that trained home care providers in performing cardiopulmonary resuscitation (CPR) and using an AED in cases of suspected OHCA. Data were collected from cardiac arrest case files, case files from each provider dispatch and a survey among dispatched...... providers. The study was conducted in a rural district in Denmark. RESULTS: Home care providers were dispatched to 28 of the 60 OHCAs that occurred in the study period. In ten cases the providers arrived before the ambulance service and subsequently performed CPR. AED analysis was executed in three cases...

  5. Agent-Based Optimization

    CERN Document Server

    Jędrzejowicz, Piotr; Kacprzyk, Janusz

    2013-01-01

    This volume presents a collection of original research works by leading specialists focusing on novel and promising approaches in which the multi-agent system paradigm is used to support, enhance or replace traditional approaches to solving difficult optimization problems. The editors have invited several well-known specialists to present their solutions, tools, and models falling under the common denominator of the agent-based optimization. The book consists of eight chapters covering examples of application of the multi-agent paradigm and respective customized tools to solve  difficult optimization problems arising in different areas such as machine learning, scheduling, transportation and, more generally, distributed and cooperative problem solving.

  6. Nonlinear optimal control theory

    CERN Document Server

    Berkovitz, Leonard David

    2012-01-01

    Nonlinear Optimal Control Theory presents a deep, wide-ranging introduction to the mathematical theory of the optimal control of processes governed by ordinary differential equations and certain types of differential equations with memory. Many examples illustrate the mathematical issues that need to be addressed when using optimal control techniques in diverse areas. Drawing on classroom-tested material from Purdue University and North Carolina State University, the book gives a unified account of bounded state problems governed by ordinary, integrodifferential, and delay systems. It also dis

  7. Encyclopedia of optimization

    CERN Document Server

    Pardalos, Panos

    2001-01-01

    Optimization problems are widespread in the mathematical modeling of real world systems and their applications arise in all branches of science, applied science and engineering. The goal of the Encyclopedia of Optimization is to introduce the reader to a complete set of topics in order to show the spectrum of recent research activities and the richness of ideas in the development of theories, algorithms and the applications of optimization. It is directed to a diverse audience of students, scientists, engineers, decision makers and problem solvers in academia, business, industry, and government.

  8. A novel bee swarm optimization algorithm for numerical function optimization

    Science.gov (United States)

    Akbari, Reza; Mohammadi, Alireza; Ziarati, Koorush

    2010-10-01

    The optimization algorithms which are inspired from intelligent behavior of honey bees are among the most recently introduced population based techniques. In this paper, a novel algorithm called bee swarm optimization, or BSO, and its two extensions for improving its performance are presented. The BSO is a population based optimization technique which is inspired from foraging behavior of honey bees. The proposed approach provides different patterns which are used by the bees to adjust their flying trajectories. As the first extension, the BSO algorithm introduces different approaches such as repulsion factor and penalizing fitness (RP) to mitigate the stagnation problem. Second, to maintain efficiently the balance between exploration and exploitation, time-varying weights (TVW) are introduced into the BSO algorithm. The proposed algorithm (BSO) and its two extensions (BSO-RP and BSO-RPTVW) are compared with existing algorithms which are based on intelligent behavior of honey bees, on a set of well known numerical test functions. The experimental results show that the BSO algorithms are effective and robust; produce excellent results, and outperform other algorithms investigated in this consideration.

  9. Optimization of Malicious Traffic in Optimal Source Based Filtering

    Directory of Open Access Journals (Sweden)

    P.MOHANRAJ

    2014-01-01

    Full Text Available Traffic and spam are the main problems in the data transmission through the network. Many traffic filtering systems have been proposed to find and filter the traffic over the network. The system Optimal Source Filtering (OSF has implemented a new and optimal filtering mechanism. The new mechanism named as DROP, which monitors and filters the spam and malicious traffic over a network effectively. Traffic filtering systems have been proposed to detect the spammer and malicious traffic, using the optimal rules and policies. Further these systems are highly ineffective when they encounter malicious traffic. The proposed system introduced OSF protocol, which helps to improve the efficiency of the firewall and filters based on the user rule. The proposed filtering scheme provides TFS false filtering when the flash crowd occurred. The protocol verifies users and firewall rules and policies with the data priority model, which makes the filtering process more robust and fastest manner. The Proposed spam detection project identifies and eliminates unwanted messages by monitoring outgoing messages. The spam detection is the main challenging task in the network. In the existing system spam detection has implemented after the data received. According to the user rule and request the current system identifies the spam and zombies by monitoring every outgoing message from the sender.

  10. Helicopter mission optimization study. [portable computer technology for flight optimization

    Science.gov (United States)

    Olson, J. R.

    1978-01-01

    The feasibility of using low-cost, portable computer technology to help a helicopter pilot optimize flight parameters to minimize fuel consumption and takeoff and landing noise was demonstrated. Eight separate computer programs were developed for use in the helicopter cockpit using a hand-held computer. The programs provide the helicopter pilot with the ability to calculate power required, minimum fuel consumption for both range and endurance, maximum speed and a minimum noise profile for both takeoff and landing. Each program is defined by a maximum of two magnetic cards. The helicopter pilot is required to key in the proper input parameter such as gross weight, outside air temperature or pressure altitude.

  11. Optimized Ant Colony Algorithm by Local Pheromone Update

    OpenAIRE

    Hui Yu

    2013-01-01

    Ant colony algorithm, a heuristic simulated algorithm, provides better solutions for non-convex, non-linear and discontinuous optimization problems. For ant colony algorithm, it is frequently to be trapped into local optimum, which might lead to stagnation. This article presents the  city-select strategy, local pheromone update strategy, optimum solution prediction strategy and local optimization strategy to optimize ant colony algorithm, provides ant colony algorithm based on local pheromone...

  12. Microwave tomography global optimization, parallelization and performance evaluation

    CERN Document Server

    Noghanian, Sima; Desell, Travis; Ashtari, Ali

    2014-01-01

    This book provides a detailed overview on the use of global optimization and parallel computing in microwave tomography techniques. The book focuses on techniques that are based on global optimization and electromagnetic numerical methods. The authors provide parallelization techniques on homogeneous and heterogeneous computing architectures on high performance and general purpose futuristic computers. The book also discusses the multi-level optimization technique, hybrid genetic algorithm and its application in breast cancer imaging.

  13. On Alternative Optimal Solutions to Linear Fractional Optimization Problems

    Institute of Scientific and Technical Information of China (English)

    ShengjiaXue

    2004-01-01

    The structure of the optimal solution set is derived for linear fractional optimization problems with the representation theorem of polyhedral sets.And the computational procedure in determining all optimal solutions is also given.

  14. Design optimization of solar cooker

    Energy Technology Data Exchange (ETDEWEB)

    Mirdha, U.S.; Dhariwal, S.R. [Department of Physics, Jai Narain Vyas University, Jodhpur 342 005 (India)

    2008-03-15

    Various designs of solar cookers have been theoretically investigated with a view to optimize their performance. Starting from a conventional box type cooker, various combinations of booster mirrors have been studied to arrive at a final design, aimed at providing a cooker, which can be fixed on a south facing window (for countries of northern hemisphere, mainly situated near the tropic of Cancer). This cooker, with a rear window opening, may provide higher cooking temperature for a fairly large duration of the day. Two or three changes in positions of the side booster mirrors, without moving the cooker as a whole has been proposed. The new design has been experimentally implemented and compared with a conventional box type solar cooker. Besides the convenience of a rear window opening, the cooker provides temperatures sufficiently high to enable cooking two meals a day. (author)

  15. Appliction of nontraditional optimization techniques for airfoil shape optimization

    OpenAIRE

    Mukesh, R.; Lingadurai, K; Selvakumar, U.

    2012-01-01

    The method of optimization algorithms is one of the most important parameters which will strongly influence the fidelity of the solution during an aerodynamic shape optimization problem. Nowadays, various optimization methods, such as genetic algorithm (GA), simulated annealing (SA), and particle swarm optimization (PSO), are more widely employed to solve the aerodynamic shape optimization problems. In addition to the optimization method, the geometry parameterization becomes an important fac...

  16. Dynamic stochastic optimization

    CERN Document Server

    Ermoliev, Yuri; Pflug, Georg

    2004-01-01

    Uncertainties and changes are pervasive characteristics of modern systems involving interactions between humans, economics, nature and technology. These systems are often too complex to allow for precise evaluations and, as a result, the lack of proper management (control) may create significant risks. In order to develop robust strategies we need approaches which explic­ itly deal with uncertainties, risks and changing conditions. One rather general approach is to characterize (explicitly or implicitly) uncertainties by objec­ tive or subjective probabilities (measures of confidence or belief). This leads us to stochastic optimization problems which can rarely be solved by using the standard deterministic optimization and optimal control methods. In the stochastic optimization the accent is on problems with a large number of deci­ sion and random variables, and consequently the focus ofattention is directed to efficient solution procedures rather than to (analytical) closed-form solu­ tions. Objective an...

  17. Overall bolt stress optimization

    DEFF Research Database (Denmark)

    Pedersen, Niels Leergaard

    2013-01-01

    The state of stress in bolts and nuts with International Organization for Standardization metric thread design is examined and optimized. The assumed failure mode is fatigue, so the applied preload and the load amplitude together with the stress concentrations define the connection strength....... Maximum stress in the bolt is found at the fillet under the head, at the thread start, or at the thread root. To minimize the stress concentration, shape optimization is applied. Nut shape optimization also has a positive effect on the maximum stress. The optimization results show that designing a nut...... change to the bolt head and the nut has the positive indirect effect of increasing the member stiffness, all leading to a smaller joint stiffness factor....

  18. Optimal mixture experiments

    CERN Document Server

    Sinha, B K; Pal, Manisha; Das, P

    2014-01-01

    The book dwells mainly on the optimality aspects of mixture designs. As mixture models are a special case of regression models, a general discussion on regression designs has been presented, which includes topics like continuous designs, de la Garza phenomenon, Loewner order domination, Equivalence theorems for different optimality criteria and standard optimality results for single variable polynomial regression and multivariate linear and quadratic regression models. This is followed by a review of the available literature on estimation of parameters in mixture models. Based on recent research findings, the volume also introduces optimal mixture designs for estimation of optimum mixing proportions in different mixture models, which include Scheffé’s quadratic model, Darroch-Waller model, log- contrast model, mixture-amount models, random coefficient models and multi-response model.  Robust mixture designs and mixture designs in blocks have been also reviewed. Moreover, some applications of mixture desig...

  19. Topology optimized microbioreactors.

    Science.gov (United States)

    Schäpper, Daniel; Lencastre Fernandes, Rita; Lantz, Anna Eliasson; Okkels, Fridolin; Bruus, Henrik; Gernaey, Krist V

    2011-04-01

    This article presents the fusion of two hitherto unrelated fields--microbioreactors and topology optimization. The basis for this study is a rectangular microbioreactor with homogeneously distributed immobilized brewers yeast cells (Saccharomyces cerevisiae) that produce a recombinant protein. Topology optimization is then used to change the spatial distribution of cells in the reactor in order to optimize for maximal product flow out of the reactor. This distribution accounts for potentially negative effects of, for example, by-product inhibition. We show that the theoretical improvement in productivity is at least fivefold compared with the homogeneous reactor. The improvements obtained by applying topology optimization are largest where either nutrition is scarce or inhibition effects are pronounced.

  20. Topology optimized microbioreactors

    DEFF Research Database (Denmark)

    Schäpper, Daniel; Lencastre Fernandes, Rita; Eliasson Lantz, Anna;

    2011-01-01

    This article presents the fusion of two hitherto unrelated fields—microbioreactors and topology optimization. The basis for this study is a rectangular microbioreactor with homogeneously distributed immobilized brewers yeast cells (Saccharomyces cerevisiae) that produce a recombinant protein...

  1. Bolt Thread Stress Optimization

    DEFF Research Database (Denmark)

    Pedersen, Niels Leergaard

    2012-01-01

    Designs of threaded fasteners are controlled by different standards, and the number of different thread definitions is large. The most commonly used thread is probably the metric ISO thread, and this design is therefore used in this paper. Thread root design controls the stress concentration factor...... of threads and therefore indirectly the bolt fatigue life. The root shape is circular, and from shape optimization for minimum stress concentration it is well known that the circular shape is seldom optimal. An axisymmetric Finite Element (FE) formulation is used to analyze the bolted connection, and a study...... is performed to establish the need for contact modeling with regard to finding the correct stress concentration factor. Optimization is performed with a simple parameterization with two design variables. Stress reduction of up to 9% is found in the optimization process, and some similarities are found...

  2. Accelerated Parallel Texture Optimization

    Institute of Scientific and Technical Information of China (English)

    Hao-Da Huang; Xin Tong; Wen-Cheng Wang

    2007-01-01

    Texture optimization is a texture synthesis method that can efficiently reproduce various features of exemplar textures. However, its slow synthesis speed limits its usage in many interactive or real time applications. In this paper, we propose a parallel texture optimization algorithm to run on GPUs. In our algorithm, k-coherence search and principle component analysis (PCA) are used for hardware acceleration, and two acceleration techniques are further developed to speed up our GPU-based texture optimization. With a reasonable precomputation cost, the online synthesis speed of our algorithm is 4000+ times faster than that of the original texture optimization algorithm and thus our algorithm is capable of interactive applications. The advantages of the new scheme are demonstrated by applying it to interactive editing of flow-guided synthesis.

  3. General shape optimization capability

    Science.gov (United States)

    Chargin, Mladen K.; Raasch, Ingo; Bruns, Rudolf; Deuermeyer, Dawson

    1991-01-01

    A method is described for calculating shape sensitivities, within MSC/NASTRAN, in a simple manner without resort to external programs. The method uses natural design variables to define the shape changes in a given structure. Once the shape sensitivities are obtained, the shape optimization process is carried out in a manner similar to property optimization processes. The capability of this method is illustrated by two examples: the shape optimization of a cantilever beam with holes, loaded by a point load at the free end (with the shape of the holes and the thickness of the beam selected as the design variables), and the shape optimization of a connecting rod subjected to several different loading and boundary conditions.

  4. Linearly constrained minimax optimization

    DEFF Research Database (Denmark)

    Madsen, Kaj; Schjær-Jacobsen, Hans

    1978-01-01

    We present an algorithm for nonlinear minimax optimization subject to linear equality and inequality constraints which requires first order partial derivatives. The algorithm is based on successive linear approximations to the functions defining the problem. The resulting linear subproblems are...

  5. 78 FR 71476 - Health Insurance Providers Fee

    Science.gov (United States)

    2013-11-29

    ... provides health insurance under Medicare Advantage, Medicare Part D, or Medicaid; or (5) a non-fully... under subchapter L, an entity providing health insurance under Medicare Advantage, Medicare Part D, or... net premiums written. Medicare Advantage and Medicare Part D Plans Some employers or unions...

  6. Organizational culture associated with provider satisfaction

    Science.gov (United States)

    Scammon, Debra L.; Tabler, Jennifer; Brunisholz, Kimberly; Gren, Lisa H.; Kim, Jaewhan; Tomoaia-Cotisel, Andrada; Day, Julie; Farrell, Timothy W.; Waitzman, Norman J.; Magill, Michael K.

    2014-01-01

    Objectives Assess 1) provider satisfaction with specific elements of PCMH; 2) clinic organizational cultures; 3) associations between provider satisfaction and clinic culture. Methods Cross sectional study with surveys conducted in 2011 with providers and staff in 10 primary care clinics implementing their version of a PCMH: Care by Design™. Measures included the Organizational Culture Assessment Instrument (OCAI) and the American Medical Group Association provider satisfaction survey. Results Providers were most satisfied with quality of care (M=4.14; scale=1–5) and interactions with patients (M=4.12) and least satisfied with time spent working (M=3.47), paper work (M =3.45) and compensation (M=3.35). Culture profiles differed across clinics with family/clan and hierarchical the most common. Significant correlations (p ≤ 0.05) between provider satisfaction and clinic culture archetypes included: family/clan negatively correlated with administrative work; entrepreneurial positively correlated with the Time Spent Working dimension; market/rational positively correlated with how practices were facing economic and strategic challenges; and hierarchical negatively correlated with Relationships with Staff and Resource dimensions. Discussion Provider satisfaction is an important metric for assessing experiences with features of a PCMH model. Conclusions Identification of clinic-specific culture archetypes and archetype associations with provider satisfaction can help inform practice redesign. Attention to effective methods for changing organizational culture is recommended. PMID:24610184

  7. Providing Career Counseling to Lesbian Women.

    Science.gov (United States)

    McVannel, Martha Erwin

    The literature on career counseling and lesbian women was reviewed resulting in the identification of 10 maxims regarding providing career counseling to lesbian women. The maxims are as follows: (1) sexual orientation is essential information when providing career counseling; (2) it is important that the workplace be lesbian-affirming; (3) lesbian…

  8. 75 FR 6839 - Technical Service Provider Assistance

    Science.gov (United States)

    2010-02-12

    ... provider (TSP) provisions under the Food Security Act of 1985. The Food, Conservation, and Energy Act of.... Specifically, under section 1244 of the Food Security Act of 1985, each of the NRCS conservation programs makes... Conservation Service 7 CFR Part 652 RIN 0578-AA48 Technical Service Provider Assistance AGENCY:...

  9. Identifying Mentors' Observations for Providing Feedback

    Science.gov (United States)

    Hudson, Peter

    2016-01-01

    Mentors' feedback can assist preservice teachers' development; yet feedback tends to be variable from one mentor to the next. What do mentors observe for providing feedback? In this study, 24 mentors observed a final-year preservice teacher through a professionally video-recorded lesson and provided written notes for feedback. They observed the…

  10. Concussion management by primary care providers

    Science.gov (United States)

    Pleacher, M D; Dexter, W W

    2006-01-01

    Objective To assess current concussion management practices of primary care providers. Methods An 11 item questionnaire was mailed to primary care providers in the state of Maine, with serial mailings to non‐respondents. Results Over 50% of the questionnaires were completed, with nearly 70% of primary care providers indicating that they routinely use published guidelines as a tool in managing patients with concussion. Nearly two thirds of providers were aware that neuropsychological tests could be used, but only 16% had access to such tests within a week of injury. Conclusions Primary care providers are using published concussion management guidelines with high frequency, but many are unable to access neuropsychological testing when it is required. PMID:16371479

  11. Particle Swarm Optimization of Speed in Unplanned Lane Traffic

    Directory of Open Access Journals (Sweden)

    Prasun Ghosal

    2012-07-01

    Full Text Available Analysis of Speed Optimization Technique in Traffic is a very promising research problem. Searching for an efficient optimization method to increase the degree of speed optimization and thereby increasing the traffic flow in a lane is a widely concerning issue. However, there has been a limited research effort on the optimization of the lane usage with speed optimization. This paper presents a novel technique to solve the problem optimally using the knowledge base analysis of speeds of vehicles, population of lanes , using partial modification of Swarm Intelligence which, in turn will act as a guide for design of lanes optimally to provide better optimized traffic with less number of transitions of vehicles between lanes..

  12. Optimal Responsible Investment

    DEFF Research Database (Denmark)

    Jessen, Pernille

    The paper studies retail Socially Responsible Investment and portfolio allocation. It extends conventional portfolio theory by allowing for a personal value based investment decision. When preferences for responsibility enter the framework for mean-variance analysis, it yields an optimal...... responsible investment model. An example of index investing illustrates the theory. Results show that it is crucial for the responsible investor to consider portfolio risk, expected return, and responsibility simultaneously in order to obtain an optimal portfolio. The model enables responsible investors...

  13. Restructuring in Combinatorial Optimization

    OpenAIRE

    Levin, Mark Sh.

    2011-01-01

    The paper addresses a new class of combinatorial problems which consist in restructuring of solutions (as structures) in combinatorial optimization. Two main features of the restructuring process are examined: (i) a cost of the restructuring, (ii) a closeness to a goal solution. This problem corresponds to redesign (improvement, upgrade) of modular systems or solutions. The restructuring approach is described and illustrated for the following combinatorial optimization problems: knapsack prob...

  14. Intuitions About Lagrangian Optimization

    OpenAIRE

    Dan Kalman; Michael Hoy

    2010-01-01

    We expose a weakness in an intuitive description popularly associated with the method of Lagrange multipliers and propose an alternative intuition. According to the deficient intuition, the Lagrange technique transforms a constrained optimization problem into an unconstrained optimization problem. This is both mathematically incorrect, and in some contexts contrary to a basic understanding of economic principles. In fact, as is probably understood by most instructors, solutions to the Lagrang...

  15. Optimizing Traffic Flow

    OpenAIRE

    Huberman, Bernardo A.; Helbing, Dirk

    1998-01-01

    We present an economics-based method for deciding the optimal rates at which vehicles are allowed to enter a highway. The method exploits the naturally occuring fluctuations of traffic flow and is flexible enough to adapt in real time to the transient flow characteristics of road traffic. Simulations based on realistic parameter values show that this strategy is feasible for naturally occuring traffic, and that even far from optimality, injection policies can improve traffic flow. Our results...

  16. Java Defensive Optimization

    OpenAIRE

    Wang, Haoqing

    2015-01-01

    We design and implement two Java optimizations based on JSR308 annota- tions: pure method memoization and dynamic taint analysis optimization. In pure method memoization, we introduce JavaMem, an automatic method memo- ization tool for Java. JavaMem memoizes on Java pure or partially pure method at runtime according to offline execution time profiling results and static analysis- based correctness proof. We achieve 3% speedup on average on selected Dacapo benchmarks. For dynamic taint analysi...

  17. Trajectory Optimization Algorithm Studies

    OpenAIRE

    Gandhi, Manan

    2015-01-01

    In complex engineered systems, completing an objective is sometimes not enough. The system must be able to reach a set performance characteristic, such as an unmanned aerial vehicle flying from point A to point B, \\textit{under 10 seconds}. This introduces the notion of optimality, what is the most efficient, the fastest, the cheapest way to complete a task. This report explores the two pillars of optimal control, Bellman's Dynamic Programming and Pontryagin's Maximum Principle, and compares ...

  18. Bacterial Colony Optimization

    OpenAIRE

    Ben Niu; Hong Wang

    2012-01-01

    This paper investigates the behaviors at different developmental stages in Escherichia coli (E. coli) lifecycle and developing a new biologically inspired optimization algorithm named bacterial colony optimization (BCO). BCO is based on a lifecycle model that simulates some typical behaviors of E. coli bacteria during their whole lifecycle, including chemotaxis, communication, elimination, reproduction, and migration. A newly created chemotaxis strategy combined with communication mechanism i...

  19. Guided randomness in optimization

    CERN Document Server

    Clerc, Maurice

    2015-01-01

    The performance of an algorithm used depends on the GNA. This book focuses on the comparison of optimizers, it defines a stress-outcome approach which can be derived all the classic criteria (median, average, etc.) and other more sophisticated.   Source-codes used for the examples are also presented, this allows a reflection on the ""superfluous chance,"" succinctly explaining why and how the stochastic aspect of optimization could be avoided in some cases.

  20. Optimal time discrimination

    OpenAIRE

    Coşkun, Filiz; Sayalı, Zeynep Ceyda; Gürbüz, Emine; Balcı, Fuat

    2015-01-01

    Optimal Time Discrimination Journal: Quarterly Journal of Experimental Psychology Manuscript ID: QJE-STD 14-039.R1 Manuscript Type: Standard Article Date Submitted by the Author: n/a Complete List of Authors: Çoskun, Filiz; Koç University, Psychology Sayalı Ungerer, Zeynep; Koç University, Psychology Gürbüz, Emine; Koç University, Psychology Balcı, Fuat; Koç University, Psychology Keywords: Decision making, Interval Timing, Optimality, Response Times, Temporal ...

  1. Propeller design by optimization

    Science.gov (United States)

    Rizk, M. H.; Jou, W.-H.

    1986-01-01

    The feasibility of designing propellers by an optimization procedure is investigated. A scheme, which solves the full potential flow equation about a propeller by line relaxation, is modified so that the iterative solutions of the flow equation and the design parameters are updated simultaneously. Some technical problems in using optimization for designing propellers with maximum efficiency are identified. Approaches for overcoming these problems are presented.

  2. Optimal control of hybrid vehicles

    CERN Document Server

    Jager, Bram; Kessels, John

    2013-01-01

    Optimal Control of Hybrid Vehicles provides a description of power train control for hybrid vehicles. The background, environmental motivation and control challenges associated with hybrid vehicles are introduced. The text includes mathematical models for all relevant components in the hybrid power train. The power split problem in hybrid power trains is formally described and several numerical solutions detailed, including dynamic programming and a novel solution for state-constrained optimal control problems based on Pontryagin’s maximum principle.   Real-time-implementable strategies that can approximate the optimal solution closely are dealt with in depth. Several approaches are discussed and compared, including a state-of-the-art strategy which is adaptive for vehicle conditions like velocity and mass. Two case studies are included in the book: ·        a control strategy for a micro-hybrid power train; and ·        experimental results obtained with a real-time strategy implemented in...

  3. Formal Proofs for Nonlinear Optimization

    Directory of Open Access Journals (Sweden)

    Victor Magron

    2015-01-01

    Full Text Available We present a formally verified global optimization framework. Given a semialgebraic or transcendental function f and a compact semialgebraic domain K, we use the nonlinear maxplus template approximation algorithm to provide a certified lower bound of f over K.This method allows to bound in a modular way some of the constituents of f by suprema of quadratic forms with a well chosen curvature. Thus, we reduce the initial goal to a hierarchy of semialgebraic optimization problems, solved by sums of squares relaxations. Our implementation tool interleaves  semialgebraic approximations with sums of squares witnesses to form certificates. It is interfaced with Coq and thus benefits from the trusted arithmetic available inside the proof assistant. This feature is used to produce, from the certificates, both valid underestimators and lower bounds for each approximated constituent.The application range for such a tool is widespread; for instance Hales' proof of Kepler's conjecture yields thousands of multivariate transcendental inequalities. We illustrate the performance of our formal framework on some of these inequalities as well as on examples from the global optimization literature.

  4. 5th Optimization Day

    CERN Document Server

    Mees, Alistair; Fisher, Mike; Jennings, Les

    2000-01-01

    'Optimization Day' (OD) has been a series of annual mini-conferences in Australia since 1994. The purpose of this series of events is to gather researchers in optimization and its related areas from Australia and their collaborators, in order to exchange new developments of optimization theories, methods and their applications. The first four OD mini-conferences were held in The Uni­ versity of Ballarat (1994), The University of New South Wales (1995), The University of Melbourne (1996) and Royal Melbourne Institute of Technology (1997), respectively. They were all on the eastern coast of Australia. The fifth mini-conference Optimization Days was held at the Centre for Ap­ plied Dynamics and Optimization (CADO), Department of Mathematics and Statistics, The University of Western Australia, Perth, from 29 to 30 June 1998. This is the first time the OD mini-conference has been held at the west­ ern coast of Australia. This fifth OD preceded the International Conference on Optimization: Techniques and Applica...

  5. Training a quantum optimizer

    Science.gov (United States)

    Wecker, Dave; Hastings, Matthew B.; Troyer, Matthias

    2016-08-01

    We study a variant of the quantum approximate optimization algorithm [E. Farhi, J. Goldstone, and S. Gutmann, arXiv:1411.4028] with a slightly different parametrization and a different objective: rather than looking for a state which approximately solves an optimization problem, our goal is to find a quantum algorithm that, given an instance of the maximum 2-satisfiability problem (MAX-2-SAT), will produce a state with high overlap with the optimal state. Using a machine learning approach, we chose a "training set" of instances and optimized the parameters to produce a large overlap for the training set. We then tested these optimized parameters on a larger instance set. As a training set, we used a subset of the hard instances studied by Crosson, Farhi, C. Y.-Y. Lin, H.-H. Lin, and P. Shor (CFLLS) (arXiv:1401.7320). When tested, on the full set, the parameters that we find produce a significantly larger overlap than the optimized annealing times of CFLLS. Testing on other random instances from 20 to 28 bits continues to show improvement over annealing, with the improvement being most notable on the hardest instances. Further tests on instances of MAX-3-SAT also showed improvement on the hardest instances. This algorithm may be a possible application for near-term quantum computers with limited coherence times.

  6. OPTIMIZING AN ALUMINUM EXTRUSION PROCESS

    Directory of Open Access Journals (Sweden)

    Mohammed Ali Hajeeh

    2013-01-01

    Full Text Available Minimizing the amount of scrap generated in an aluminum extrusion process. An optimizing model is constructed in order to select the best cutting patterns of aluminum logs and billets of various sizes and shapes. The model applied to real data obtained from an existing extrusion factory in Kuwait. Results from using the suggested model provided substantial reductions in the amount of scrap generated. Using sound mathematical approaches contribute significantly in reducing waste and savings when compared to the existing non scientific techniques.

  7. In-plant logistics optimalization

    OpenAIRE

    MAROUŠEK, Jan

    2008-01-01

    In a theoretical part of this work there is introduced a general view on logistics and its development, than a view on creating value for customer, basics of lean production, lean thinking and following methods as Six Sigma and Value Stream Mapping. At the end of the theoretical part there is mentioned outsourcing of logistics services and view on relationship between logistics provider and a client. In a practical part there is introduced a project of in-plant logistics optimalization in a f...

  8. Optimal decisions principles of programming

    CERN Document Server

    Lange, Oskar

    1971-01-01

    Optimal Decisions: Principles of Programming deals with all important problems related to programming.This book provides a general interpretation of the theory of programming based on the application of the Lagrange multipliers, followed by a presentation of the marginal and linear programming as special cases of this general theory. The praxeological interpretation of the method of Lagrange multipliers is also discussed.This text covers the Koopmans' model of transportation, geometric interpretation of the programming problem, and nature of activity analysis. The solution of t

  9. Better Movers and Thinkers (BMT):An Exploratory Study of an Innovative Approach to Physical Education

    OpenAIRE

    Andrew Dalziell; James Boyle; Nanette Mutrie

    2015-01-01

    Recent research has confirmed a positive relationship between levels of physical activity and academic achievement. Some of these studies have been informed by neurological models of Executive Functioning (EF). There is a general consensus within the literature that the three core EF skills are; working memory, inhibitory control and cognitive flexibility. The development of these core EF skills has been linked with learning and academic achievement and is an essential component in the delive...

  10. Tuberculin skin test positivity in pediatric allogeneic BMT recipients and donors in Turkey.

    Science.gov (United States)

    Tavil, Betul; Gulhan, Bora; Ozcelik, Ugur; Cetin, Mualla; Tezcan, Ilhan; Tuncer, Murat; Uckan, Duygu

    2007-06-01

    The preliminary study was performed to determine the frequency of tuberculin skin test (TST) positivity among 26 patients and their donors screened by TST to investigate whether tuberculin positivity of a recipient or donor influenced the rate of tuberculosis disease, transplant-related events, and to evaluate the effectiveness of isoniazide (INAH) prophylaxis administered to those with positive TST. The frequency of TST positivity was 23% (n = 6) among recipients and also 23% (n = 6) among donors. Two recipients and five donors with positive TST received INAH prophylaxis for six months. Our use of INAH prophylaxis in transplant patients was very conservative because of the risk of drug interaction. The transplantation procedure was not postponed for either recipient or donor TST positivity. Despite the high frequency of tuberculosis in our country, we have not detected any case of tuberculosis in our center, either among the purified protein derivative-screened (n = 26) or non-screened (n = 128) patients except for disseminated tuberculosis infection because of BCG vaccination in two patients with severe combined immunodeficiency. In conclusion, TST positivity in either recipient or donor may not be a contraindication for bone marrow transplantation and the procedure may not be postponed. Pretransplantation TST screening may be needed in countries where tuberculosis is common in the general population.

  11. Novel Approaches for Graft-versus-Host Disease Prevention Compared to Contemporary Controls (BMT CTN 1203)

    Science.gov (United States)

    2016-06-16

    Acute Leukemia; Chronic Myelogenous Leukemia; Myelodysplasia; Chronic Lymphocytic Leukemia; Small Lymphocytic Lymphoma; Lymphoma, B-Cell; Lymphoma, Follicular; Lymphoma, Large B-Cell, Diffuse; Hodgkin's Lymphoma

  12. The Radiation Reaction Effects in the BMT Model of Spinning Charge and the Radiation Polarization Phenomenon

    CERN Document Server

    Lebedev, S L

    2005-01-01

    The effect of radiation polarization attended with the motion of spinning charge in the magnetic field could be viewed through the classical theory of self-interaction. The quantum expression for the polarization time follows from the semiclassical relation $T_{QED}\\sim \\hbar c^{3}/\\mu_{B}^2\\omega_{c}^3$, and needs quantum explanation neither for the orbit nor for the spin motion. In our approach the polarization emerges as a result of natural selection in the ensenmble of elastically scattered electrons among which the group of particles that bear their spins in the 'right' directions has the smaller probability of radiation. The evidence of non-complete polarization degree is also obtained.

  13. Compassion fatigue in pediatric palliative care providers.

    Science.gov (United States)

    Rourke, Mary T

    2007-10-01

    The experience of compassion fatigue is an expected and common response to the professional task of routinely caring for children at the end of life. Symptoms of compassion fatigue often mimic trauma reactions. Implementing strategies that span personal, professional, and organizational domains can help protect health care providers from the damaging effects of compassion fatigue. Providing pediatric palliative care within a constructive and supportive team can help caregivers deal with the relational challenges of compassion fatigue. Finally, any consideration of the toll of providing pediatric palliative care must be balanced with a consideration of the parallel experience of compassion satisfaction. PMID:17933615

  14. Genetics services in a social, ethical and policy context: a collaboration between consumers and providers

    OpenAIRE

    Wertz, D.; Gregg, R.

    2000-01-01

    We report a unique, collaborative effort by users and providers of genetic services to arrive at outlines for optimal ethics and clinical practice. Using focus groups of consumers (users) and providers (held separately), a provider-consumer project team developed 1) a consumer wish list, 2) an experientially based ethical overview of situations arising in practice, and 3) detailed suggestions for consumer-provider interactions in clinical settings. Consumers were primarily interested in accur...

  15. Optimal covariate designs theory and applications

    CERN Document Server

    Das, Premadhis; Mandal, Nripes Kumar; Sinha, Bikas Kumar

    2015-01-01

    This book primarily addresses the optimality aspects of covariate designs. A covariate model is a combination of ANOVA and regression models. Optimal estimation of the parameters of the model using a suitable choice of designs is of great importance; as such choices allow experimenters to extract maximum information for the unknown model parameters. The main emphasis of this monograph is to start with an assumed covariate model in combination with some standard ANOVA set-ups such as CRD, RBD, BIBD, GDD, BTIBD, BPEBD, cross-over, multi-factor, split-plot and strip-plot designs, treatment control designs, etc. and discuss the nature and availability of optimal covariate designs. In some situations, optimal estimations of both ANOVA and the regression parameters are provided. Global optimality and D-optimality criteria are mainly used in selecting the design. The standard optimality results of both discrete and continuous set-ups have been adapted, and several novel combinatorial techniques have been applied for...

  16. Fair Optimization and Networks: A Survey

    Directory of Open Access Journals (Sweden)

    Wlodzimierz Ogryczak

    2014-01-01

    Full Text Available Optimization models related to designing and operating complex systems are mainly focused on some efficiency metrics such as response time, queue length, throughput, and cost. However, in systems which serve many entities there is also a need for respecting fairness: each system entity ought to be provided with an adequate share of the system’s services. Still, due to system operations-dependant constraints, fair treatment of the entities does not directly imply that each of them is assigned equal amount of the services. That leads to concepts of fair optimization expressed by the equitable models that represent inequality averse optimization rather than strict inequality minimization; a particular widely applied example of that concept is the so-called lexicographic maximin optimization (max-min fairness. The fair optimization methodology delivers a variety of techniques to generate fair and efficient solutions. This paper reviews fair optimization models and methods applied to systems that are based on some kind of network of connections and dependencies, especially, fair optimization methods for the location problems and for the resource allocation problems in communication networks.

  17. A Structural Optimization Framework for Multidisciplinary Design

    Directory of Open Access Journals (Sweden)

    Mohammad Kurdi

    2015-01-01

    Full Text Available This work describes the development of a structural optimization framework adept at accommodating diverse customer requirements. The purpose is to provide a framework accessible to the optimization research analyst. The framework integrates the method of moving asymptotes into the finite element analysis program (FEAP by exploiting the direct interface capability in FEAP. Analytic sensitivities are incorporated to provide a robust and efficient optimization search. User macros are developed to interface the design algorithm and analytic sensitivity with the finite element analysis program. To test the optimization tool and sensitivity calculations, three sizing and one topology optimization problems are considered. In addition, flutter analysis of a heated panel is analyzed as an example of coupling to nonstructural discipline. In sizing optimization, the calculated semianalytic sensitivities match analytic and finite difference calculations. Differences between analytic designs and numerical ones are less than 2.0% and are attributed to discrete nature of finite elements. In the topology problem, quadratic elements are found robust at resolving checkerboard patterns.

  18. Decoding suprathreshold stochastic resonance with optimal weights

    Energy Technology Data Exchange (ETDEWEB)

    Xu, Liyan, E-mail: xuliyan@qdu.edu.cn [Institute of Complexity Science, Qingdao University, Qingdao 266071 (China); Vladusich, Tony [Computational and Theoretical Neuroscience Laboratory, Institute for Telecommunications Research, School of Information Technology and Mathematical Sciences, University of South Australia, SA 5095 (Australia); Duan, Fabing [Institute of Complexity Science, Qingdao University, Qingdao 266071 (China); Gunn, Lachlan J.; Abbott, Derek [Centre for Biomedical Engineering (CBME) and School of Electrical & Electronic Engineering, The University of Adelaide, Adelaide, SA 5005 (Australia); McDonnell, Mark D. [Computational and Theoretical Neuroscience Laboratory, Institute for Telecommunications Research, School of Information Technology and Mathematical Sciences, University of South Australia, SA 5095 (Australia); Centre for Biomedical Engineering (CBME) and School of Electrical & Electronic Engineering, The University of Adelaide, Adelaide, SA 5005 (Australia)

    2015-10-09

    We investigate an array of stochastic quantizers for converting an analog input signal into a discrete output in the context of suprathreshold stochastic resonance. A new optimal weighted decoding is considered for different threshold level distributions. We show that for particular noise levels and choices of the threshold levels optimally weighting the quantizer responses provides a reduced mean square error in comparison with the original unweighted array. However, there are also many parameter regions where the original array provides near optimal performance, and when this occurs, it offers a much simpler approach than optimally weighting each quantizer's response. - Highlights: • A weighted summing array of independently noisy binary comparators is investigated. • We present an optimal linearly weighted decoding scheme for combining the comparator responses. • We solve for the optimal weights by applying least squares regression to simulated data. • We find that the MSE distortion of weighting before summation is superior to unweighted summation of comparator responses. • For some parameter regions, the decrease in MSE distortion due to weighting is negligible.

  19. Medicare Provider Analysis and Review (MEDPAR)

    Data.gov (United States)

    U.S. Department of Health & Human Services — MEDPAR files contain information on Medicare beneficiaries using hospital inpatient services. The data is provided by the state and the Diagnosis Related Groups...

  20. Medicare Referring Provider DMEPOS PUF CY2013

    Data.gov (United States)

    U.S. Department of Health & Human Services — This dataset, which is part of CMSs Medicare Provider Utilization and Payment Data, details information on Durable Medical Equipment, Prosthetics, Orthotics and...

  1. Provider Customer Service Program - Performance Data

    Data.gov (United States)

    U.S. Department of Health & Human Services — CMS is continuously analyzing performance and quality of the Provider Customer Service Programs (PCSPs) of the contractors and will be identifying trends and making...

  2. Medicare Provider Utilization and Payment Data - Inpatient

    Data.gov (United States)

    U.S. Department of Health & Human Services — The data provided here include hospital-specific charges for the more than 3,000 U.S. hospitals that receive Medicare Inpatient Prospective Payment System (IPPS)...

  3. Topological Trends of Internet Content Providers

    CERN Document Server

    Shavitt, Yuval

    2012-01-01

    The Internet is constantly changing, and its hierarchy was recently shown to become flatter. Recent studies of inter-domain traffic showed that large content providers drive this change by bypassing tier-1 networks and reaching closer to their users, enabling them to save transit costs and reduce reliance of transit networks as new services are being deployed, and traffic shaping is becoming increasingly popular. In this paper we take a first look at the evolving connectivity of large content provider networks, from a topological point of view of the autonomous systems (AS) graph. We perform a 5-year longitudinal study of the topological trends of large content providers, by analyzing several large content providers and comparing these trends to those observed for large tier-1 networks. We study trends in the connectivity of the networks, neighbor diversity and geographical spread, their hierarchy, the adoption of IXPs as a convenient method for peering, and their centrality. Our observations indicate that co...

  4. Medicare Referring Provider (DMEPOS) Data CY2013

    Data.gov (United States)

    U.S. Department of Health & Human Services — The Centers for Medicare and Medicaid Services (CMS) released a new dataset, the Referring Provider Durable Medical Equipment, Prosthetics, Orthotics and Supplies...

  5. Medicare Provider Utilization and Payment Data - Outpatient

    Data.gov (United States)

    U.S. Department of Health & Human Services — The data provided here include estimated hospital-specific charges for 30 Ambulatory Payment Classification (APC) Groups paid under the Medicare Outpatient...

  6. National Provider Identifier Standard - Data Dissemination

    Data.gov (United States)

    U.S. Department of Health & Human Services — The National Plan and Provider Enumeration System, NPPES, downloadable file, also referred to as the NPI Downloadable File, contains FOIA disclosable NPPES health...

  7. Concrete "Waffle" Provides Laser Beam Accuracy

    Science.gov (United States)

    Building Design and Construction, 1978

    1978-01-01

    A massive concrete "waffle," riding on a bed of specially treated gravel and sand inside another building, provides the structural rigidity needed by the University of Rochester's Laboratory for Laser Energetics. (Author)

  8. Extensive IT outsourcing: advice from providers.

    Science.gov (United States)

    Smith, Mike; Whiting, Stacilee

    2007-01-01

    In summary, providers are reporting some benefits related to resources and knowledge, improved service levels/performance and stronger IT staff/leadership. Also, on average, providers are reporting satisfactory experiences with application support and CIO outsourcing. However, not all of their expectations are being met, and some providers have discontinued outsourcing due to unmet expectations. Clearly, outsourcing is an option one must research in depth--it is not for everyone. When one evaluates the results of extensive IT outsourcing, it becomes easier to see what outsourcing mix and firm may be a good match for your organization's needs and expected outcomes. As you decide upon the outsourcing mix and firm that is right for you, providers advise you to pay special attention to contractual arrangements. With adequate research and contractual provisions, organizations can find the outsourcing mix that is right for them.

  9. Capitated contracting of integrated health provider organizations.

    Science.gov (United States)

    Bazzoli, G J; Dynan, L; Burns, L R

    This paper examines global capitation of integrated health provider organizations that link physicians and hospitals, such as physician-hospital organizations and management service organizations. These organizations have proliferated in recent years, but their contracting activity has not been studied. We develop a conceptual model to understand the capitated contracting bargaining process. Exploratory multivariate analysis suggests that global capitation of these organizations is more common in markets with high health maintenance organization (HMO) market share, greater numbers of HMOs, and fewer physician group practices. Additionally, health provider organizations with more complex case mix, nonprofit status, more affiliated physicians, health system affiliations, and diversity in physician organizational arrangements are more likely to have global capitation. Finally, state regulation of provider contracting with self-insured employers appears to have spillover effects on health plan risk contracting with health providers. PMID:10711318

  10. Providing Service Using A Virtualization Infrastructure

    OpenAIRE

    Young R. Park; Srinarayan Sharma

    2011-01-01

    Services could be designed to be simple, atomic, and transparent to potential consumers who interact with providers to attain desired outcome. Providing the desired service, though, may involve a series of complex operations such as accessing multiples databases owned by multiple parties residing in multiple locations, complex queries to obtain desired outcome, transforming these queries for proper display, displaying the outcome in a format comprehensible to the consumer, et cetera. The deve...

  11. Providing driving rain data for hygrothermal calculations

    DEFF Research Database (Denmark)

    Kragh, Mikkel Kristian

    1996-01-01

    Due to a wish for driving rain data as input for hygrothermal calculations, this report deals with utilizing commonly applied empirical relations and standard meteorological data, in an attempt to provide realistic estimates rather than exact correlations.......Due to a wish for driving rain data as input for hygrothermal calculations, this report deals with utilizing commonly applied empirical relations and standard meteorological data, in an attempt to provide realistic estimates rather than exact correlations....

  12. Competition in bank-provided payment services

    OpenAIRE

    Bolt, Wilko; Humphrey, David

    2013-01-01

    Banks supply payment services that underpin the smooth operation of the economy. To ensure an efficient payment system, it is important to maintain competition among payment service providers but data available to gauge the degree of competition are quite limited. We propose and implement a frontierbased method to assess relative competition in bank-provided payment services. Billion dollar banks account for around ninety percent of assets in the US and those with around to billion in assets ...

  13. Quality Business Service Provider in Community Enterprise

    OpenAIRE

    Chalard Chantarasombat; Tantawan Singkeaw

    2012-01-01

    Problem statement: The development of community enterprises focuses on the development of service providers for commercial industries and community enterprises and it is necessary to create and extend the development according to the changing global conditions. The department of industrial promotion and industry promotion center region 5, Khon Kaen must create and develop the quality of service providers in community enterprises as an exclusive course to find a model and development guideline...

  14. Net neutrality at internet backbone provider level

    OpenAIRE

    Baglioni, Laura; Calabrese, Armando; Ghiron, Nathan Levialdi

    2013-01-01

    This paper analysis the Internet interconnection market and combine the main technical (i.e. service quality) and economic aspects (i.e. profits and utility) characterizing relations between market players (end users, EUs; Internet Service Providers, ISPs; Internet Backbone Providers, IBPs) in order to determine possible economic outcomes in the strategic interaction between them. The proposed model enables a comparison to be made between expected values of social welfare (i.e. EU utility and...

  15. 9th International Conference on Optimization : Techniques and Applications

    CERN Document Server

    Wang, Song; Wu, Soon-Yi

    2015-01-01

    This book presents the latest research findings and state-of-the-art solutions on optimization techniques and provides new research direction and developments. Both the theoretical and practical aspects of the book will be much beneficial to experts and students in optimization and operation research community. It selects high quality papers from The International Conference on Optimization: Techniques and Applications (ICOTA2013). The conference is an official conference series of POP (The Pacific Optimization Research Activity Group; there are over 500 active members). These state-of-the-art works in this book authored by recognized experts will make contributions to the development of optimization with its applications.

  16. Utilizing multiple objectives for the optimization of the pultrusion process based on a thermo-chemical simulation

    DEFF Research Database (Denmark)

    Tutum, Cem Celal; Baran, Ismet; Hattel, Jesper Henri

    2013-01-01

    is a 'cheap', therefore attractive and efficient tool for autonomous (numerical) optimization. Optimization problems in engineering in general comprise multiple objectives often having conflict with each other. Evolutionary multi-objective optimization (EMO) algorithms provide an ideal way of solving...

  17. Optimized Dynamical Decoupling via Genetic Algorithms

    CERN Document Server

    Quiroz, Gregory

    2013-01-01

    We utilize genetic algorithms to find optimal dynamical decoupling (DD) sequences for a single-qubit system subjected to a general decoherence model under a variety of control pulse conditions. We focus on the case of sequences with equal pulse-intervals and perform the optimization with respect to pulse type and order. In this manner we obtain robust DD sequences, first in the limit of ideal pulses, then when including pulse imperfections such as finite pulse duration and qubit rotation (flip-angle) errors. Although our optimization is numerical, we identify a deterministic structure underlies the top-performing sequences. We use this structure to devise DD sequences which outperform previously designed concatenated DD (CDD) and quadratic DD (QDD) sequences in the presence of pulse errors. We explain our findings using time-dependent perturbation theory and provide a detailed scaling analysis of the optimal sequences.

  18. Global 4-D trajectory optimization for spacecraft

    Institute of Scientific and Technical Information of China (English)

    2010-01-01

    Global 4-D trajectory(x,y,z,t)is optimized for a spacecraft,which is launched from the Earth to fly around the Sun,just as star-drift of 1437 asteroids in the solar system.The spacecraft trajectory is controlled by low thrust.The performance index of optimal trajectory is to maximize the rendezvous times with the intermediate asteroids,and also maximize the final mass.This paper provides a combined algorithm of global 4-D trajectory optimization.The algorithm is composed of dynamic programming and two-point-boundary algorithm based on optimal control theory.The best 4-D trajectory is obtained:the spacecraft flies passing 55 asteroids,and rendezvous with(following or passing again)asteroids for 454 days,and finally rendezvous with the asteroid 2005SN25 on the day 60521(MJD),the final mass of the spacecraft is 836.53 kg.

  19. Optimal Reinsurance: A Risk Sharing Approach

    Directory of Open Access Journals (Sweden)

    Alejandro Balbas

    2013-08-01

    Full Text Available This paper proposes risk sharing strategies, which allow insurers to cooperate and diversify non-systemic risk. We deal with both deviation measures and coherent risk measures and provide general mathematical methods applying to optimize them all. Numerical examples are given in order to illustrate how efficiently the non-systemic risk can be diversified and how effective the presented mathematical tools may be. It is also illustrated how the existence of huge disasters may lead to wrong solutions of our optimal risk sharing problem, in the sense that the involved risk measure could ignore the existence of a non-null probability of "global ruin" after the design of the optimal risk sharing strategy. To overcome this caveat, one can use more conservative risk measures. The stability in the large of the optimal sharing plan guarantees that "the global ruin caveat" may be also addressed and solved with the presented methods.

  20. Obstetric Provider Maldistribution: Georgia, USA, 2011.

    Science.gov (United States)

    Spelke, Bridget; Zertuche, Adrienne D; Rochat, Roger

    2016-07-01

    Objectives In 2010, Georgia had the nation's highest maternal mortality rate, sixteenth highest infant mortality rate, and a waning obstetrician/gynecologist (ob/gyn) workforce. Statewide ob/gyn workforce data, however, masked obstetric-specific care shortages and regional variation in obstetric services. The Georgia Maternal and Infant Health Research Group thereby assessed each Georgia region's obstetric provider workforce to identify service-deficient areas. Methods We identified 63 birthing facilities in the 82 Primary Care Service Areas (PCSAs) outside metropolitan Atlanta and interviewed nurse managers and others to assess the age, sex, and expected departure year of each delivering professional. Using accepted annual delivery rates of 155 per obstetrician (OB), 100 per certified nurse midwife (CNM), and 70 per family medicine physician (FP) we converted obstetric providers into "OB equivalents" to standardize obstetric services available in any given area. Using facility births and computed OB equivalents (contemporary and 2020 estimates), we calculated current and projected average annual births per provider (AABP) for each PCSA, categorizing its obstetric provider workforce as "adequate" (AABP  166). We mapped results using ArcGIS. Results Of 82 surveyed PCSAs, 52 % (43) were deficient in obstetric care; 16 % (13) had a shortage and 37 % (30) lacked obstetric providers entirely. There were no delivering FPs in 89 % (73) of PCSAs and no CNMs in 70 % (56). If Georgia fails to recruit delivering providers, 72 % (58/77) of PCSAs will have deficient or no obstetric care by 2020. Conclusions Obstetric provider shortages in Georgia hinder access to prenatal and delivery services. Care-deficient areas will expand if recruitment and retention of delivering professionals does not improve.

  1. Quality Business Service Provider in Community Enterprise

    Directory of Open Access Journals (Sweden)

    Chalard Chantarasombat

    2012-01-01

    Full Text Available Problem statement: The development of community enterprises focuses on the development of service providers for commercial industries and community enterprises and it is necessary to create and extend the development according to the changing global conditions. The department of industrial promotion and industry promotion center region 5, Khon Kaen must create and develop the quality of service providers in community enterprises as an exclusive course to find a model and development guideline in effective operations that is efficient and appropriate according to the particular community. Approach: The objectives of this research were: (1 to recruit and select at least 15 individuals to participate in the training of service providers in community enterprise in Kalasin province. (2 To define the structure, content, create a curriculum and development of service providers in community enterprise. (3 To develop the participants basic skills training, create motivation, learning experience through on the job training and business management and capability in the diagnosing the cause of problems. (4 To develop the participants understanding of community product standards and provide advice and consultation on the preparation and application of manufacturing standard certification of community products, community enterprise management and provide advice in the implementation of management standards of community enterprises. (5 Satisfaction of the participants training in service providers in community enterprise. Results: 29 people applied for the training program and 26 passed evaluation which was higher than the target of 15 individuals. The theoretical training courses prior to the training had an overall average of 5.06 and after the training had an average of 15.80, the average progress was 10.74. The exercise training through on the job training was regarded as a vocational skill and hand an average of 5.27 before the training. After the

  2. Logistic service providers and sustainable physical distribution

    Directory of Open Access Journals (Sweden)

    Stef Weijers

    2012-06-01

    Full Text Available Background: Logistic Service Providers main concern was to ensure reliability for a low price (Christopher, 2005. Dutch Logistic Service Providers still have these two aspects at the top of their list, but also have to take in a new aspect: sustainability. 88% Of the investigated Logistic Service Providers have included sustainability in the company's goals. These Logistic Service Providers have developed different strategies to achieve a higher level of sustainability. This paper presents the results of a study into what Logistic Service Providers say what they are doing, or intend to do, to improve sustainability for their transport services. In this way insight is given in the attitude of Dutch Logistic Service Providers towards sustainability and how they intend to translate this into business practise: internal solutions or new methods incorporating external partners. Methods: Various methods of the investigations were used, among which the analysis of the statements about the sustainabilityon the websites of various companies as well as the questionnaire per Internet. The research covered 50 largest logistics companies operating in the Netherlands and 60 companies that competed for the award "Lean and Green" advertised in the Netherlands. In addition, the Internet survey was answered by 41 companies that belong to the network of our university. Results: The investigation has shown that sustainability is handled by the logistics company as an integral part of the corporate strategy. In contrast, shippers depend in the choice of logistics services primarily on such classical aspects as the reliability or the price and the sustainability play a minor role. Conclusions: Trying to find methods to improve the sustainability, Dutch logistics service providers, in the first place, look for solutions that increase the efficiency and therefore the cost reduction potential. Solutions, which require the involvement of clients, were less often

  3. SEARCH ENGINE OPTIMIZATION

    Directory of Open Access Journals (Sweden)

    Jakub Zilincan

    2015-09-01

    Full Text Available Search engine optimization techniques, often shortened to “SEO,” should lead to first positions in organic search results. Some optimization techniques do not change over time, yet still form the basis for SEO. However, as the Internet and web design evolves dynamically, new optimization techniques flourish and flop. Thus, we looked at the most important factors that can help to improve positioning in search results. It is important to emphasize that none of the techniques can guarantee high ranking because search engines have sophisticated algorithms, which measure the quality of webpages and derive their position in search results from it. Next, we introduced and examined the object of the optimization, which is a particular website. This web site was created for the sole purpose of implementing and testing all the main SEO techniques. The main objective of this article was to determine whether search engine optimization increases ranking of website in search results and subsequently leads to higher traffic. This research question is supported by testing and verification of results. The last part of our article concludes the research results and proposes further recommendations.

  4. Social Attention and the Provider's Dilemma

    CERN Document Server

    Aperjis, Christina

    2010-01-01

    While attracting attention is one of the prime goals of content providers, the conversion of that attention into revenue is by no means obvious. Given that most users expect to consume web content for free, a provider with an established audience faces a dilemma. Since the introduction of advertisements or subscription fees will be construed by users as an inconvenience which may lead them to stop using the site, what should the provider do in order to maximize revenues? We address this question through the lens of adaptation theory, which states that even though a change affects a person's utility initially, as time goes on people tend to adapt and become less aware of past changes. We establish that if the likelihood of continuing to attend to the provider after an increase in inconvenience is log-concave in the magnitude of the increase, then the provider faces a tradeoff between achieving a higher revenue per user sooner and maximizing the number of users in the long term. On the other hand, if the likeli...

  5. Providing Service Using A Virtualization Infrastructure

    Directory of Open Access Journals (Sweden)

    Young R. Park

    2011-05-01

    Full Text Available Services could be designed to be simple, atomic, and transparent to potential consumers who interact with providers to attain desired outcome. Providing the desired service, though, may involve a series of complex operations such as accessing multiples databases owned by multiple parties residing in multiple locations, complex queries to obtain desired outcome, transforming these queries for proper display, displaying the outcome in a format comprehensible to the consumer, et cetera. The development of service-oriented architecture (SOA or service-oriented computing (SOC allows organizations to exploit the services that may or may not belong to them to provide customized services to potential customers. Virtualization, viewed as the separation of a service request from the underlying physical delivery of that service, allows such services to be provided in a flexible and cost-effective manner.  Virtualization is also seen as one of the green ITs which can help reduce infrastructure and maintenance cost especially for the organizations that may not be able to afford big capital investment upfront. In this paper we make a case for integrating SOA and virtualization technologies to provide desired services to the consumer in highly a flexible and cost effective manner.

  6. Liability of intermediary service providers in Romania

    Directory of Open Access Journals (Sweden)

    Mihaela GIURANIUC (TUDORACHE

    2011-12-01

    Full Text Available The purpose of this paper is to analyze the legislation, doctrinal opinions and relevant case law regarding the liability of intermediary service providers in Romania and to contribute to the current stage of knowledge in this matter. The objectives pursued by the author are: identification of the peculiarities of the transposition of the E-Commerce Directive into Romanian legislation; identification of problems that could arise from law’s interpretation; issuing of the de lege ferenda proposals. According to Romanian Law, the rule is the liability of the intermediary service provider. The liability limitations apply to certain clearly delimited activities carried out by service providers, precisely defined by art. 12-15 from Law no. 362/2002, as: mere conduit, caching, hosting, search engines and hyperlinks. Romanian Law does not offer the possibility to impose on service provider an obligation to monitor the information they transmit or store or an obligation to actively seek out facts and circumstances, even if it could be only for specific, clearly defined individual case. The notice and take down procedures for illegal content is not a legal obligation according to Romanian Law. The Romanian Law is mandatory only for service providers established in Romania.

  7. Can Tidal Current Energy Provide Base Load?

    Directory of Open Access Journals (Sweden)

    Simone Giorgi

    2013-06-01

    Full Text Available Tidal energy belongs to the class of intermittent but predictable renewable energy sources. In this paper, we consider a compact set of geographically diverse locations, which have been assessed to have significant tidal stream energy, and attempt to find the degree to which the resource in each location should be exploited so that the aggregate power from all locations has a low variance. An important characteristic of the locations chosen is that there is a good spread in the peak tidal flow times, though the geographical spread is relatively small. We assume that the locations, all on the island of Ireland, can be connected together and also assume a modular set of tidal turbines. We employ multi-objective optimisation to simultaneously minimise variance, maximise mean power and maximise minimum power. A Pareto front of optimal solutions in the form of a set of coefficients determining the degree of tidal energy penetration in each location is generated using a genetic algorithm. While for the example chosen the total mean power generated is not great (circa 100 MW, the case study demonstrated a methodology that can be applied to other location sets that exhibit similar delays between peak tidal flow times.

  8. Providing Group Anonymity Using Wavelet Transform

    CERN Document Server

    Chertov, Oleg

    2010-01-01

    Providing public access to unprotected digital data can pose a threat of unwanted disclosing the restricted information. The problem of protecting such information can be divided into two main subclasses, namely, individual and group data anonymity. By group anonymity we define protecting important data patterns, distributions, and collective features which cannot be determined through analyzing individual records only. An effective and comparatively simple way of solving group anonymity problem is doubtlessly applying wavelet transform. It's easy-to-implement, powerful enough, and might produce acceptable results if used properly. In the paper, we present a novel method of using wavelet transform for providing group anonymity; it is gained through redistributing wavelet approximation values, along with simultaneous fixing data mean value and leaving wavelet details unchanged (or proportionally altering them). Moreover, we provide a comprehensive example to illustrate the method.

  9. International nurse education: implications for providers.

    Science.gov (United States)

    Cecchin, M

    1998-12-01

    This exploratory study conducted in 1996 described the profiles, roles and preparation of twelve South Australian registered nurses in relation to their provision of education programs for nurses from South East Asia. The research showed respondents were well qualified and highly experienced educators whose roles were complex. Their preparation for providing education programs for nurse from South East Asia had been haphazard and inadequate. Consequently respondents considered they were not fully prepared for the providing this specialised education. Career planning and a more strategic approach to the development of specific expertise are essential to support an international approach to nurse education. Nurse education that values intercultural awareness, and is multicultural and global would benefit both local and international students. Development of germane knowledge, skill, attitudes and behaviours is recommended to ensure excellence in the provision of international nurse education. An action research model is proposed as an alternative to traditional professional development to prepare providers of international education. PMID:10095500

  10. Patients Provide Recommendations for Improving Patient Satisfaction.

    Science.gov (United States)

    Moore, Angelo D; Hamilton, Jill B; Krusel, Jessica L; Moore, LeeAntoinette G; Pierre-Louis, Bosny J

    2016-04-01

    National Committee for Quality Assurance recommends patient-centered medical homes incorporate input from patient populations; however, many health care organizations do not. This qualitative study used two open-ended questions from 148 active duty Army Soldiers and their family members to illicit recommendations for primary care providers and clinic leadership that would improve their health care experiences. Content analysis and descriptive statistics were used to analyze responses. Participant responses were related to four major themes: Access to Care, Interpersonal Interaction, Satisfaction of Care, and Quality of Care. Participants were overall satisfied with their care; however, spending less time waiting for appointments and to see the provider or specialist were the most frequently requested improvements related to Access to Care. For Interpersonal Interaction, 82% of the responses recommended that providers be more attentive listeners, courteous, patient, caring, and respectful. Decreasing wait times and improving interpersonal skills would improve health care experiences and patient satisfaction. PMID:27046182

  11. SOAR: Smartweld optimization and analysis routines

    Energy Technology Data Exchange (ETDEWEB)

    Eisler, G.R.; Fuerschbach, P.W.

    1996-10-01

    A suite of MATLAB-based code modules has been developed to provide optimal weld schedules, regulating weld process parameters for C0[sub 2] and pulse ND:YAG laser welding methods, and arc welding in support of the Smartweld manufacturing initiative. The optimization methodology consists of mixed genetic and gradient-based algorithms to query semi-empirical, nonlinear algebraic models. The optimization output provides heat-input-efficient welds for user-specified weld dimensions. User querying of all weld models is available to examine sub-optimal schedules. In addition, a heat conduction equation solver for 2-D heat flow is available to provide the user with an additional check of weld thermal effects. The inclusion of thermodynamic properties allows the extension of the empirical models to include materials other than those tested. All solution methods are provided with graphical user interfaces and display pertinent results in two and three-dimensional form. The code architecture provides an extensible framework to add an arbitrary number of modules.

  12. Java Processor Optimized for RTSJ

    Directory of Open Access Journals (Sweden)

    Tu Shiliang

    2007-01-01

    Full Text Available Due to the preeminent work of the real-time specification for Java (RTSJ, Java is increasingly expected to become the leading programming language in real-time systems. To provide a Java platform suitable for real-time applications, a Java processor which can execute Java bytecode is directly proposed in this paper. It provides efficient support in hardware for some mechanisms specified in the RTSJ and offers a simpler programming model through ameliorating the scoped memory of the RTSJ. The worst case execution time (WCET of the bytecodes implemented in this processor is predictable by employing the optimization method proposed in our previous work, in which all the processing interfering predictability is handled before bytecode execution. Further advantage of this method is to make the implementation of the processor simpler and suited to a low-cost FPGA chip.

  13. Care for the Health Care Provider.

    Science.gov (United States)

    Kunin, Sharon Brown; Kanze, David Mitchell

    2016-03-01

    Pretravel care for the health care provider begins with an inventory, including the destination, length of stay, logistical arrangements, type of lodging, food and water supply, team members, personal medical needs, and the needs of the community to be treated. This inventory should be created and processed well in advance of the planned medical excursion. The key thing to remember in one's planning is to be a health care provider during one's global health care travel and not to become a patient oneself. This article will help demonstrate the medical requirements and recommendations for such planning. PMID:26900113

  14. Homeless women's experiences of service provider encounters.

    Science.gov (United States)

    Biederman, Donna J; Nichols, Tracy R

    2014-01-01

    Service providers are gatekeepers to health-sustaining services and resources, although little is known about service encounters from the perspective of homeless women. We conducted in-depth semistructured interviews with 15 homeless women to better understand their experiences of service encounters. Using a phenomenological method, 160 significant statements were extracted from participant transcripts; more positive than negative interactions were reported. The 10 themes that emerged fall along a dehumanizing/humanizing continuum primarily separated by the power participants experienced in the interaction and the trust they felt in the service provider. Implications for nursing practice and research are offered. PMID:24528122

  15. Optimizing WFIRST Coronagraph Science

    Science.gov (United States)

    Macintosh, Bruce

    We propose an in-depth scientific investigation that will define how the WFIRST coronagraphic instrument will discover and characterize nearby planetary systems and how it will use observations of planets and disks to probe the diversity of their compositions, dynamics, and formation. Given the enormous diversity of known planetary systems it is not enough to optimize a coronagraph mission plan for the characterization of solar system analogs. Instead, we must design a mission to characterize a wide variety of planets, from gas and ice giant planets at a range of separations to mid-sized planets with no analogs in our solar system. We must consider updated planet distributions based on the results of the Kepler mission, long-term radial velocity (RV) surveys and updated luminosity distributions of exo-zodiacal dust from interferometric thermal infrared surveys of nearby stars. The properties of all these objects must be informed by our best models of planets and disks, and the process of using WFIRST observations to measure fundamental planetary properties such as composition must derive from rigorous methods. Our team brings a great depth of expertise to inform and accomplish these and all of the other tasks enumerated in the SIT proposal call. We will perform end-to-end modeling that starts with model spectra of planets and images of disks, simulates WFIRST data using these models, accounts for geometries of specific star / planet / disk systems, and incorporates detailed instrument performance models. We will develop and implement data analysis techniques to extract well-calibrated astrophysical signals from complex data, and propose observing plans that maximize the mission's scientific yield. We will work with the community to build observing programs and target lists, inform them of WFIRSTs capabilities, and supply simulated scientific observations for data challenges. Our work will be informed by the experience we have gained from building and observing with

  16. Drilling Optimization: A Review

    Directory of Open Access Journals (Sweden)

    Abhilash M Bharadwaj

    2013-06-01

    Full Text Available With rapidly growing global demand for energy resources, oil and gas exploration & production companies face mounting pressure to maximize supply and increase the rate of discovery for new energy sources. Increasingly operating in more remote locations and investing heavily in equipment and facilities, companies face greater financial and operational risks than ever before. Optimization of drilling parameters during drilling operations aims to optimize weight on bit, bit rotation speed for obtaining maximum drilling rate as well as minimizing the drilling cost. Communication and computer technologies are among the most important disciplines which can contribute to drilling optimization. Large amount of data could be piped through different locations on the planet in reliable and time efficient manners.

  17. Drilling Optimization: A Review

    Directory of Open Access Journals (Sweden)

    Vinayaka S

    2012-08-01

    Full Text Available With rapidly growing global demand for energy resources, oil and gas exploration & production companies face mounting pressure to maximize supply and increase the rate of discovery for new energy sources. Increasingly operating in more remote locations and investing heavily in equipment and facilities, companies face greater financial and operational risks than ever before. Optimization of drilling parameters during drilling operations aims to optimize weight on bit, bit rotation speed for obtaining maximum drilling rate as well as minimizing the drilling cost. Communication and computer technologies are among the most important disciplines which can contribute to drilling optimization. Large amount of data could be piped through different locations on the planet in reliable and time efficient manners.

  18. Momentum particle swarm optimizer

    Institute of Scientific and Technical Information of China (English)

    Liu Yu; Qin Zheng; Wang Xianghua; He Xingshi

    2005-01-01

    The previous particle swarm optimizers lack direct mechanism to prevent particles beyond predefined search space, which results in invalid solutions in some special cases. A momentum factor is introduced into the original particle swarm optimizer to resolve this problem. Furthermore, in order to accelerate convergence, a new strategy about updating velocities is given. The resulting approach is mromentum-PSO which guarantees that particles are never beyond predefined search space without checking boundary in every iteration. In addition, linearly decreasing wight PSO (LDW-PSO) equipped with a boundary checking strategy is also discussed, which is denoted as LDWBC-PSO. LDW-PSO, LDWBC-PSO and momentum-PSO are compared in optimization on five test functions. The experimental results show that in some special cases LDW-PSO finds invalid solutions and LDWBC-PSO has poor performance, while momentum-PSO not only exhibits good performance but also reduces computational cost for updating velocities.

  19. Optimal Aging and Death

    DEFF Research Database (Denmark)

    Dalgaard, Carl-Johan Lars; Strulik, Holger

    2010-01-01

    expectancy in the same year ("the Preston curve"); cross-country income differences can explain differences in life expectancy at age 20 of up to a decade. Moreover, technological change in health care of about 1.1% per year can account for the observed shift in the Preston curve between 1980 and 2000.......This study introduces physiological aging into a simple model of optimal intertemporal consumption. In this endeavor we draw on the natural science literature on aging. According to the purposed theory, the speed of the aging process and the time of death are endogenously determined by optimal...... health investments. At the same time, physiological aspects of the aging process inuence optimal savings and health investment. We calibrate the model for the average US male in 2000 and proceed to show that the calibrated model accounts well for the cross-country link between labor productivity and life...

  20. Optimal Aging and Death

    DEFF Research Database (Denmark)

    Dalgaard, Carl-Johan Lars; Strulik, Holger

    2010-01-01

    and life expectancy in the same year ("the Preston curve"); cross-country income differences can explain differences in life expectancy at age 20 of up to a decade. Moreover, technological change in health care of about 1.1% per year can account for the observed shift in the Preston curve between 1980......This study introduces physiological aging into a simple model of optimal intertemporal consumption. In this endeavor we draw on the natural science literature on aging. According to the purposed theory, the speed of the aging process and the time of death are endogenously determined by optimal...... health investments. At the same time, physiological aspects of the aging process influence optimal savings and health investment. We calibrate the model for the average US male in 2000 and proceed to show that the calibrated model accounts well for the cross-country link between labor productivity...

  1. Optimal Bitter Coil Solenoid

    CERN Document Server

    Kobelev, V

    2016-01-01

    Bitter coil is an electromagnet used for the generation of exceptionally strong magnetic fields. The upper bound of magnet flux density is restricted by several factors. One principal restriction is the high stresses due to Lorentz forces in the coil. The Lorentz forces generate the distributed body force, which acts as the pressure of magnetic field. The common radial thickness profile of the Bitter coil is constant. In this paper the possibility of optimization by means of non-constant radial thickness profile of the Bitter coil is studied. The close form expression for optimal thickness profile is obtained. Both designs are compared and the considerable improvement of magnetic flux density is demonstrated. Moreover, the optimal design improves the shape of cooling channels. Namely, the highest cross-section of cooling channel is at the most thermally loaded inner surface of the coil.

  2. Optimal boundaries for decisions

    Directory of Open Access Journals (Sweden)

    Carfi', David

    2008-01-01

    Full Text Available In this paper we state and prove some new results on the optimal boundaries. These boundaries (called Pareto boundaries too are of increasing importance in the applications to Decision Theory. First of all the Pareto boundaries are the first and most important generalization of the concept of optimum; on the other hand, if f is a real functional defined on a non empty set X and K is a part of X, the determination of the optimal boundaries of the part K with respect to some preorder of X for which f is strictly increasing permits to reduce the optimization problem (f, K, inf (or (f, K, sup to the problem (f, minP(K, inf (resp. (f, maxP(K, sup, where by minP(K we denoted the minimal boundary of K (that in general is greatly smoller than K.

  3. Discrete Variational Optimal Control

    CERN Document Server

    Jimenez, Fernando; de Diego, David Martin

    2012-01-01

    This paper develops numerical methods for optimal control of mechanical systems in the Lagrangian setting. It extends the theory of discrete mechanics to enable the solutions of optimal control problems through the discretization of variational principles. The key point is to solve the optimal control problem as a variational integrator of a specially constructed higher-dimensional system. The developed framework applies to systems on tangent bundles, Lie groups, underactuated and nonholonomic systems with symmetries, and can approximate either smooth or discontinuous control inputs. The resulting methods inherit the preservation properties of variational integrators and result in numerically robust and easily implementable algorithms. Several theoretical and a practical examples, e.g. the control of an underwater vehicle, will illustrate the application of the proposed approach.

  4. Optimization of CT procedures

    International Nuclear Information System (INIS)

    Full text: In recent years computed tomography (CT) became a powerful diagnostic method. The technology advances in CT allowed improvement of the image quality, but set a number of challenges to all professionals working in the field of diagnostic imaging. CT capabilities expand, and thus increase the need for better training and qualification of staff and engineers responsible for the optimal functioning of the CT system. Despite the variety of technical innovations for dose reduction, obtaining of images with good diagnostic quality is often associated with increased dose. There is a lack of consensus in radiological practice about the use of contrast media and the image quality requirements. A common opinion is that the manufacturer setting is optimal. All this leads to large variations of doses for the same examinations and shows the need to optimize procedures. Learning objectives: optimization is not a single act but a process involving all the experts conducting the study. The presence of qualified medical physicist as a part of the team is important. Responsibility of the team is to choose which procedures have to be optimized. In most cases, the choice is between the most common procedures performed and those suspected in the diagnostic value of the image. Special attention should be paid to the study of children in order to exclude the use of protocols for adults, which leads to unnecessary high doses.each member of the team must be aware of the relationship between patient dose and image quality. the choice how to conduct the study depends on the diagnostic purpose. In some examinations, such as CT urography, obtaining high quality image at the cost of a higher dose does not improve the diagnostic outcome. On the other hand optimization is not necessarily associated with dose reduction. In cases where the images are not with adequate diagnostic quality, it is necessary to use a CT protocol with higher dose. Several international documents show the

  5. Optimized packings with applications

    CERN Document Server

    Pintér, János

    2015-01-01

    This volume presents a selection of case studies that address a substantial range of optimized object packings (OOP) and their applications. The contributing authors are well-recognized researchers and practitioners. The mathematical modelling and numerical solution aspects of each application case study are presented in sufficient detail. A broad range of OOP problems are discussed: these include various specific and non-standard container loading and object packing problems, as well as the stowing of hazardous and other materials on container ships, data centre resource management, automotive engineering design, space station logistic support, cutting and packing problems with placement constraints, the optimal design of LED street lighting, robust sensor deployment strategies, spatial scheduling problems, and graph coloring models and metaheuristics for packing applications. Novel points of view related to model development and to computational nonlinear, global, mixed integer optimization and heuristic st...

  6. Multicriteria VMAT optimization

    CERN Document Server

    Craft, David; Wala, Jeremiah; Bortfeld, Thomas

    2011-01-01

    We describe a new optimization technique for planning single arc VMAT (volumetric modulated arc therapy). The technique allows the planner to first navigate the ideal dose distribution space created by forming a 180-beam IMRT Pareto optimal surface. The plan that is selected is then made VMAT deliverable by a simple fluence map merging and sequencing algorithm. Our approach offers significant improvements over existing algorithms. The first is the multicriteria planning aspect, which greatly speeds up planning time and allows the user to select the plan which represents the most desirable compromise between target coverage and organ at risk sparing. The second is the (user-chosen) epsilon-optimality guarantee of the final VMAT plan. Finally, the user can explore the tradeoff between delivery time and plan quality, which is a fundamental aspect of VMAT that cannot be easily investigated with current commercial planning systems.

  7. The optimal elastic flagellum

    CERN Document Server

    Spagnolie, Saverio E

    2009-01-01

    Motile eukaryotic cells propel themselves in viscous fluids by passing waves of bending deformation down their flagella. An infinitely long flagellum achieves a hydrodynamically optimal low-Reynolds number locomotion when the angle between its local tangent and the swimming direction remains constant along its length. Optimal flagella therefore adopt the shape of a helix in three dimensions (smooth) and that of a sawtooth in two dimensions (non-smooth). Physically, biological organisms (or engineered micro-swimmers) must expend internal energy in order to produce the waves of deformation responsible for the motion. Here we propose a physically-motivated derivation of the optimal flagellum shape. We determine analytically and numerically the shape of the flagellar wave which leads to the fastest swimming while minimizing an appropriately-defined energetic expenditure. Our novel approach is to define an energy which includes not only the work against the surrounding fluid, but also (1) the energy stored elastic...

  8. Optimization of Combinatorial Mutagenesis

    Science.gov (United States)

    Parker, Andrew S.; Griswold, Karl E.; Bailey-Kellogg, Chris

    Protein engineering by combinatorial site-directed mutagenesis evaluates a portion of the sequence space near a target protein, seeking variants with improved properties (stability, activity, immunogenicity, etc.). In order to improve the hit-rate of beneficial variants in such mutagenesis libraries, we develop methods to select optimal positions and corresponding sets of the mutations that will be used, in all combinations, in constructing a library for experimental evaluation. Our approach, OCoM (Optimization of Combinatorial Mutagenesis), encompasses both degenerate oligonucleotides and specified point mutations, and can be directed accordingly by requirements of experimental cost and library size. It evaluates the quality of the resulting library by one- and two-body sequence potentials, averaged over the variants. To ensure that it is not simply recapitulating extant sequences, it balances the quality of a library with an explicit evaluation of the novelty of its members. We show that, despite dealing with a combinatorial set of variants, in our approach the resulting library optimization problem is actually isomorphic to single-variant optimization. By the same token, this means that the two-body sequence potential results in an NP-hard optimization problem. We present an efficient dynamic programming algorithm for the one-body case and a practically-efficient integer programming approach for the general two-body case. We demonstrate the effectiveness of our approach in designing libraries for three different case study proteins targeted by previous combinatorial libraries - a green fluorescent protein, a cytochrome P450, and a beta lactamase. We found that OCoM worked quite efficiently in practice, requiring only 1 hour even for the massive design problem of selecting 18 mutations to generate 107 variants of a 443-residue P450. We demonstrate the general ability of OCoM in enabling the protein engineer to explore and evaluate trade-offs between quality and

  9. Optimized features selection for gender classification using optimization algorithms

    OpenAIRE

    KHAN, Sajid Ali; Nazir, Muhammad; RIAZ, Naveed

    2013-01-01

    Optimized feature selection is an important task in gender classification. The optimized features not only reduce the dimensions, but also reduce the error rate. In this paper, we have proposed a technique for the extraction of facial features using both appearance-based and geometric-based feature extraction methods. The extracted features are then optimized using particle swarm optimization (PSO) and the bee algorithm. The geometric-based features are optimized by PSO with ensem...

  10. Outpatient provider concentration and commercial colonoscopy prices.

    Science.gov (United States)

    Pozen, Alexis

    2015-01-01

    The objective was to evaluate the magnitude of various contributors to outpatient commercial colonoscopy prices, including market- and provider-level factors, especially market share. We used adjudicated fee-for-service facility claims from a large commercial insurer for colonoscopies occurring in hospital outpatient department or ambulatory surgery center from October 2005 to December 2012. Claims were matched to provider- and market-level data. Linear fixed effects regressions of negotiated colonoscopy price were run on provider, system, and market characteristics. Markets were defined as counties. There were 178,433 claims from 169 providers (104 systems). The mean system market share was 76% (SD = 0.34) and the mean real (deflated) price was US$1363 (SD = 374), ranging from US$169 to US$2748. For every percentage point increase in a system or individual facility's bed share, relative price increased by 2 to 4 percentage points; this result was stable across a number of specifications. Market population and price were also consistently positively related, though this relation was small in magnitude. No other factor explained price as strongly as market share. Price variation for colonoscopy was driven primarily by market share, of particular concern as the number of mergers increases in wake of the recession and the Affordable Care Act. Whether variation is justified by better quality care requires further research to determine whether quality is subsumed in prices.

  11. Providing Access to Justice through Service Learning

    Science.gov (United States)

    Kubichek, Mary

    2010-01-01

    In the Casper College Legal Service (CCLS) program, Casper College paralegal students, under supervision of pro bono attorneys, use paralegal skills to provide legal services and work product. CCLS is different from other legal clinics; it is not law school based, bar based, or court based. CCLS is paralegal based.

  12. 42 CFR 410.134 - Provider qualifications.

    Science.gov (United States)

    2010-10-01

    ... Public Health CENTERS FOR MEDICARE & MEDICAID SERVICES, DEPARTMENT OF HEALTH AND HUMAN SERVICES MEDICARE PROGRAM SUPPLEMENTARY MEDICAL INSURANCE (SMI) BENEFITS Medical Nutrition Therapy § 410.134 Provider qualifications. For Medicare Part B coverage of MNT, only a registered dietitian or nutrition professional...

  13. Management services organizations: providing economies of scale.

    Science.gov (United States)

    Schaffer, C L

    1998-09-01

    Effective information management and other shared costs can reduce agencies' operating expenses as well as make new products available while providing opportunities to gain a competitive advantage. By taking a close look at ways of controlling documentation, such as the use of a management services organization for information system/computer-based management, agencies can prepare for the challenges of the next century.

  14. Providing Career Guidance for Young Women.

    Science.gov (United States)

    Colby, Pamela G.

    This module is directed at personnel working or planning to work in the areas of guidance, counseling, placement and follow-through in junior and senior high school settings, grades 7-12. The module topic is career guidance for young women of junior and senior high school age, aand the focus will be on providing nonbiased career guidance which…

  15. Training To Provide for Healthy Rural Aging.

    Science.gov (United States)

    Troisi, Joseph

    2001-01-01

    Most of the world's rapidly expanding aging population is in rural areas of developing countries. Geriatric training programs should include social, economic, and psychological aspects of aging as well as medical, and should focus on enabling primary health caregivers to care for older people in their environments. Efforts to provide rural…

  16. Providing nursing care in a children's hospice.

    Science.gov (United States)

    Day, Alison

    Children who are admitted to hospices need specialist treatment that enables them to enjoy their childhood as much as possible while they receive the care they require. Their parents also have particular needs. During Children's Hospice Week, which started on September 21, the Association of Children's Hospices aims to raise awareness of the work done by children's hospices and the services they provide.

  17. Wholistic Health Care: Challenge to Health Providers.

    Science.gov (United States)

    McKay, Susan

    1980-01-01

    Due to the increasing influence of the holistic health movement, health providers will increasingly be challenged to reexamine their roles in patient relationships, increase the extent of interdisciplinary teamwork, emphasize health education and positive health behaviors, examine the usefulness of various alternative therapies, and consider the…

  18. Outpatient Provider Concentration and Commercial Colonoscopy Prices

    Directory of Open Access Journals (Sweden)

    Alexis Pozen PhD

    2015-04-01

    Full Text Available The objective was to evaluate the magnitude of various contributors to outpatient commercial colonoscopy prices, including market- and provider-level factors, especially market share. We used adjudicated fee-for-service facility claims from a large commercial insurer for colonoscopies occurring in hospital outpatient department or ambulatory surgery center from October 2005 to December 2012. Claims were matched to provider- and market-level data. Linear fixed effects regressions of negotiated colonoscopy price were run on provider, system, and market characteristics. Markets were defined as counties. There were 178 433 claims from 169 providers (104 systems. The mean system market share was 76% (SD = 0.34 and the mean real (deflated price was US$1363 (SD = 374, ranging from US$169 to US$2748. For every percentage point increase in a system or individual facility’s bed share, relative price increased by 2 to 4 percentage points; this result was stable across a number of specifications. Market population and price were also consistently positively related, though this relation was small in magnitude. No other factor explained price as strongly as market share. Price variation for colonoscopy was driven primarily by market share, of particular concern as the number of mergers increases in wake of the recession and the Affordable Care Act. Whether variation is justified by better quality care requires further research to determine whether quality is subsumed in prices.

  19. Messer to provide helium for LHC

    CERN Document Server

    2008-01-01

    Over the course of the next few years, industrial gas specialist The Messer Group, through its Swiss subsidiary Messer Schweiz AG, is to provide a 160,000kg supply of helium to the European Organisation for Nuclear Research (CERN) for the operation of the world's largest particle accelerator.

  20. Messer to provide helium for LHC project

    CERN Multimedia

    2008-01-01

    Over the course of the next few years, industrial gas specialist The Messer Group, through its Swiss subsidiary Messer Schweiz AG, is to provide a 160,000kg supply of helium to the European Organisation for Nuclear Research (CERN) for the operation of the world's largest particle accelerator.

  1. Estate Planning: Providing for Your Child's Future.

    Science.gov (United States)

    Beyer, Henry A.

    1986-01-01

    Parents who wish their handicapped offspring to be financially provided for after their own deaths need to explore several ways of managing and distributing their assets, including: creating a will; disinheritance (to avoid loss of benefits; joint property and life insurance; and trusts and trustees. (CB)

  2. Advanced backend optimization

    CERN Document Server

    Touati, Sid

    2014-01-01

    This book is a summary of more than a decade of research in the area of backend optimization. It contains the latest fundamental research results in this field. While existing books are often more oriented toward Masters students, this book is aimed more towards professors and researchers as it contains more advanced subjects.It is unique in the sense that it contains information that has not previously been covered by other books in the field, with chapters on phase ordering in optimizing compilation; register saturation in instruction level parallelism; code size reduction for software pipe

  3. Terascale Optimal PDE Simulations

    Energy Technology Data Exchange (ETDEWEB)

    David Keyes

    2009-07-28

    The Terascale Optimal PDE Solvers (TOPS) Integrated Software Infrastructure Center (ISIC) was created to develop and implement algorithms and support scientific investigations performed by DOE-sponsored researchers. These simulations often involve the solution of partial differential equations (PDEs) on terascale computers. The TOPS Center researched, developed and deployed an integrated toolkit of open-source, optimal complexity solvers for the nonlinear partial differential equations that arise in many DOE application areas, including fusion, accelerator design, global climate change and reactive chemistry. The algorithms created as part of this project were also designed to reduce current computational bottlenecks by orders of magnitude on terascale computers, enabling scientific simulation on a scale heretofore impossible.

  4. Optimization Modeling with Spreadsheets

    CERN Document Server

    Baker, Kenneth R

    2011-01-01

    This introductory book on optimization (mathematical programming) includes coverage on linear programming, nonlinear programming, integer programming and heuristic programming; as well as an emphasis on model building using Excel and Solver.  The emphasis on model building (rather than algorithms) is one of the features that makes this book distinctive. Most books devote more space to algorithmic details than to formulation principles. These days, however, it is not necessary to know a great deal about algorithms in order to apply optimization tools, especially when relying on the sp

  5. ATHENA optimized coating design

    DEFF Research Database (Denmark)

    Ferreira, Desiree Della Monica; Christensen, Finn Erland; Jakobsen, Anders Clemen;

    2012-01-01

    The optimization of coating design for the ATHENA mission si described and the possibility of increasing the telescope effective area in the range between 0.1 and 10 keV is investigated. An independent computation of the on-axis effective area based on the mirror design of ATHENA is performed...... in order to review the current coating baseline. The performance of several material combinations, considering a simple bi-layer, simple multilayer and linear graded multilayer coatings are tested and simulation of the mirror performance considering both the optimized coating design and the coating...

  6. Optimal Quantum Phase Estimation

    International Nuclear Information System (INIS)

    By using a systematic optimization approach, we determine quantum states of light with definite photon number leading to the best possible precision in optical two-mode interferometry. Our treatment takes into account the experimentally relevant situation of photon losses. Our results thus reveal the benchmark for precision in optical interferometry. Although this boundary is generally worse than the Heisenberg limit, we show that the obtained precision beats the standard quantum limit, thus leading to a significant improvement compared to classical interferometers. We furthermore discuss alternative states and strategies to the optimized states which are easier to generate at the cost of only slightly lower precision

  7. Filters in topology optimization

    DEFF Research Database (Denmark)

    Bourdin, Blaise

    1999-01-01

    In this article, a modified (``filtered'') version of the minimum compliance topology optimization problem is studied. The direct dependence of the material properties on its pointwise density is replaced by a regularization of the density field using a convolution operator. In this setting...... it is possible to establish the existence of solutions. Moreover, convergence of an approximation by means of finite elements can be obtained. This is illustrated through some numerical experiments. The ``filtering'' technique is also shown to cope with two important numerical problems in topology optimization...

  8. Analytical methods of optimization

    CERN Document Server

    Lawden, D F

    2006-01-01

    Suitable for advanced undergraduates and graduate students, this text surveys the classical theory of the calculus of variations. It takes the approach most appropriate for applications to problems of optimizing the behavior of engineering systems. Two of these problem areas have strongly influenced this presentation: the design of the control systems and the choice of rocket trajectories to be followed by terrestrial and extraterrestrial vehicles.Topics include static systems, control systems, additional constraints, the Hamilton-Jacobi equation, and the accessory optimization problem. Prereq

  9. Novel Optimization Approach to Mixing Process Intensification

    Institute of Scientific and Technical Information of China (English)

    Guo Kai; Liu Botan; Li Qi; Liu Chunjiang

    2015-01-01

    An approach was presented to intensify the mixing process. Firstly, a novel concept, the dissipationof mass transfer ability(DMA) associated with convective mass transfer, was defined via an analogy to the heat-work conversion. Accordingly, the focus on mass transfer enhancement can be shifted to seek the extremum of the DMA of the system. To this end, an optimization principle was proposed. A mathematical model was then developed to formu-late the optimization into a variational problem. Subsequently, the intensification of the mixing process for a gas mix-ture in a micro-tube was provided to demonstrate the proposed principle. In the demonstration example, an optimized velocity field was obtained in which the mixing ability was improved, i.e., the mixing process should be intensifiedby adjusting the velocity field in related equipment. Therefore, a specific procedure was provided to produce a mixer with geometric irregularities associated with an ideal velocity.

  10. Online Advertisement, Optimization and Stochastic Networks

    CERN Document Server

    Bo,; Srikant, R

    2010-01-01

    In this paper, we propose a stochastic model to describe how modern search service providers charge client companies based on users' queries for their related "adwords" by using certain advertisement assignment strategies. We formulate an optimization problem to maximize the long-term average revenue for the service provider under each client's long-term average budget constraint, and design an online algorithm which captures the stochastic properties of users' queries and click-through behaviors. We solve the optimization problem by making connections to scheduling problems in wireless networks, queueing theory and stochastic networks. With a small customizable parameter $\\epsilon$ which is the step size used in each iteration of the online algorithm, we have shown that our online algorithm achieves a long-term average revenue which is within $O(\\epsilon)$ of the optimal revenue and the overdraft level of this algorithm is upper-bounded by $O(1/\\epsilon)$.

  11. Occupational health nursing with Navajo workers. Providing culturally competent care.

    Science.gov (United States)

    Lusk, P; Holst, P

    2001-01-01

    1. Native Americans in the southwestern United States are considered a "vulnerable population." Native Americans have economic difficulties, poor health, and little access to health care. The Navajo nation is the largest Native American reservation in the United States. 2. Occupational health nurses who provide culturally competent care increase the likelihood for Navajo workers to obtain optimal benefits from workplace health services. 3. The nurse uses cultural assessment skills and critical thinking abilities to maximize therapeutic interactions and minimize barriers in communications with workers of other cultural backgrounds. 4. The nurse who is knowledgeable about the Navajo way can help achieve a balance between the traditional ways and Western ways of addressing serious health care issues facing the Navajo worker. This knowledge and cultural awareness also increases the effectiveness of health promotion and health education programs offered to workers, their families, and their communities. PMID:11760275

  12. QUADRATIC OPTIMIZATION METHOD AND ITS APPLICATION ON OPTIMIZING MECHANISM PARAMETER

    Institute of Scientific and Technical Information of China (English)

    ZHAO Yun; CHEN Jianneng; YU Yaxin; YU Gaohong; ZHU Jianping

    2006-01-01

    In order that the mechanism designed meets the requirements of kinematics with optimal dynamics behaviors, a quadratic optimization method is proposed based on the different characteristics of kinematic and dynamic optimization. This method includes two steps of optimization, that is, kinematic and dynamic optimization. Meanwhile, it uses the results of the kinematic optimization as the constraint equations of dynamic optimization. This method is used in the parameters optimization of transplanting mechanism with elliptic planetary gears of high-speed rice seedling transplanter with remarkable significance. The parameters spectrum, which meets to the kinematic requirements, is obtained through visualized human-computer interactions in the kinematics optimization, and the optimal parameters are obtained based on improved genetic algorithm in dynamic optimization. In the dynamic optimization, the objective function is chosen as the optimal dynamic behavior and the constraint equations are from the results of the kinematic optimization. This method is suitable for multi-objective optimization when both the kinematic and dynamic performances act as objective functions.

  13. The $500,000 deduction limitation for remuneration provided by certain health insurance providers. Final regulations.

    Science.gov (United States)

    2014-09-23

    This document contains final regulations on the application of the $500,000 deduction limitation for remuneration provided by certain health insurance providers under section 162(m)(6) of the Internal Revenue Code (Code). These regulations affect certain health insurance providers providing remuneration that exceeds the deduction limitation.

  14. Simultaneous optimal experimental design for in vitro binding parameter estimation.

    Science.gov (United States)

    Ernest, C Steven; Karlsson, Mats O; Hooker, Andrew C

    2013-10-01

    Simultaneous optimization of in vitro ligand binding studies using an optimal design software package that can incorporate multiple design variables through non-linear mixed effect models and provide a general optimized design regardless of the binding site capacity and relative binding rates for a two binding system. Experimental design optimization was employed with D- and ED-optimality using PopED 2.8 including commonly encountered factors during experimentation (residual error, between experiment variability and non-specific binding) for in vitro ligand binding experiments: association, dissociation, equilibrium and non-specific binding experiments. Moreover, a method for optimizing several design parameters (ligand concentrations, measurement times and total number of samples) was examined. With changes in relative binding site density and relative binding rates, different measurement times and ligand concentrations were needed to provide precise estimation of binding parameters. However, using optimized design variables, significant reductions in number of samples provided as good or better precision of the parameter estimates compared to the original extensive sampling design. Employing ED-optimality led to a general experimental design regardless of the relative binding site density and relative binding rates. Precision of the parameter estimates were as good as the extensive sampling design for most parameters and better for the poorly estimated parameters. Optimized designs for in vitro ligand binding studies provided robust parameter estimation while allowing more efficient and cost effective experimentation by reducing the measurement times and separate ligand concentrations required and in some cases, the total number of samples. PMID:23943088

  15. Introduction aux Méthodes d’Appariement Optimal (Optimal Matching Analysis)

    OpenAIRE

    Laurent Lesnard; Thibaut de Saint-Pol

    2004-01-01

    Introduction to Optimal Matching Analysis: This paper provides an introduction to a new statistical technique for describing sequences: Optimal Matching Analysis (OMA). Borrowed from biology, this technique is based on rather simple principles that can be adapted to suit the theoretical requirements of different analyses. Since OMA is not based on any causal assumptions, it is particularly well-adapted for sociologists who retemporalize action by analyzing it as a process. Two applications of...

  16. Optimal stochastic control and optimal consumption and portfolio with G-Brownian motion

    OpenAIRE

    Fei, Weiyin; Fei, Chen

    2013-01-01

    By the calculus of Peng's G-sublinear expectation and G-Brownian motion on a sublinear expectation space $(\\Omega, {\\cal H}, \\hat{\\mathbb{E}})$, we first set up an optimality principle of stochastic control problem. Then we investigate an optimal consumption and portfolio decision with a volatility ambiguity by the derived verification theorem. Next the two-fund separation theorem is explicitly obtained. And an illustrative example is provided.

  17. Providing Scalable Data Services in Ubiquitous Networks

    CERN Document Server

    Malik, Tanu; Patil, Sanket; Chaudhary, Amitabh; Venkatasubramanian, Venkat

    2010-01-01

    Topology is a fundamental part of a network that governs connectivity between nodes, the amount of data flow and the efficiency of data flow between nodes. In traditional networks, due to physical limitations, topology remains static for the course of the network operation. Ubiquitous data networks (UDNs), alternatively, are more adaptive and can be configured for changes in their topology. This flexibility in controlling their topology makes them very appealing and an attractive medium for supporting "anywhere, any place" communication. However, it raises the problem of designing a dynamic topology. The dynamic topology design problem is of particular interest to application service providers who need to provide cost-effective data services on a ubiquitous network. In this paper we describe algorithms that decide when and how the topology should be reconfigured in response to a change in the data communication requirements of the network. In particular, we describe and compare a greedy algorithm, which is of...

  18. The EU as an international security provider

    DEFF Research Database (Denmark)

    Rodt, Annemarie Peen; Wolff, Stefan; Whitman, Richard

    2015-01-01

    that will emerge from this analysis will then be tested and applied empirically in the following contributions that focus on how particular policies are formulated and implemented, and that analyse, in single and comparative case studies, the impact and effectiveness of the EU as an international security provider.......This contribution develops a framework of analysis that covers the actors involved in the policy making process of international security provision, the dynamics of this process itself, its outcomes (concrete strategies and policies) and their impact. Our efforts to establish such a framework...... of analysis, which could serve as the foundation for a mid-range theory of the EU as an international security provider, will examine the relevance of, and apply, existing theories of international relations/international security and foreign policy analysis to the specific case of the EU. The framework...

  19. Enhanced Bee Colony Algorithm for Complex Optimization Problems

    Directory of Open Access Journals (Sweden)

    S.Suriya

    2012-01-01

    Full Text Available Optimization problems are considered to be one kind of NP hard problems. Usually heuristic approaches are found to provide solutions for NP hard problems. There are a plenty of heuristic algorithmsavailable to solve optimization problems namely: Ant Colony Optimization, Particle Swarm Optimization, Bee Colony Optimization, etc. The basic Bee Colony algorithm, a population based search algorithm, is analyzed to be a novel tool for complex optimization problems. The algorithm mimics the food foraging behavior of swarmsof honey bees. This paper deals with a modified fitness function of Bee Colony algorithm. The effect of problem dimensionality on the performance of the algorithms will be investigated. This enhanced Bee Colony Optimization will be evaluated based on the well-known benchmark problems. The testing functions like Rastrigin, Rosenbrock, Ackley, Griewank and Sphere are used to evaluavate the performance of the enhanced Bee Colony algorithm. The simulation will be developed on MATLAB.

  20. A Stochastic Multiobjective Optimization Framework for Wireless Sensor Networks

    Directory of Open Access Journals (Sweden)

    Shibo He

    2010-01-01

    Full Text Available In wireless sensor networks (WSNs, there generally exist many different objective functions to be optimized. In this paper, we propose a stochastic multiobjective optimization approach to solve such kind of problem. We first formulate a general multiobjective optimization problem. We then decompose the optimization formulation through Lagrange dual decomposition and adopt the stochastic quasigradient algorithm to solve the primal-dual problem in a distributed way. We show theoretically that our algorithm converges to the optimal solution of the primal problem by using the knowledge of stochastic programming. Furthermore, the formulation provides a general stochastic multiobjective optimization framework for WSNs. We illustrate how the general framework works by considering an example of the optimal rate allocation problem in multipath WSNs with time-varying channel. Extensive simulation results are given to demonstrate the effectiveness of our algorithm.

  1. Challenges in conceptualizing and providing human security

    OpenAIRE

    Prezelj, Iztok

    2015-01-01

    Changes in the security environment after the end of Cold War have seriously affected our security concepts and paradigms. Human security was finally conceptualized and presented to the global public in a Human Development Report in 1994. The concept has evolved since then and, today, we can identify quite a number of seriously conceptualized definitions and theoretical approaches that have led to the formation of a number of practical attempts to provide it. This concept is theoretically rat...

  2. Service Providers Rush to Capital Markets

    Institute of Scientific and Technical Information of China (English)

    ISABELDING

    2004-01-01

    Chinese Service Providers (SPs) are finding it hard to resist the lure of the overseas capital market and many are rushing towards listing. On March 4, Shanghai-based Linktone Ltd,under the trading name LTON, became the first Chinese SP to list on the Nasdaq stock market. Through its IPO, the company offered a total of 6.14 million American Depositary Receipts and raised US$84.7 million.

  3. Management Standards Integration in Service Providing Organizations

    OpenAIRE

    Anton Persic; Mirko Markic

    2012-01-01

    The purpose of the paper is to define key leadership models, to recognize advantages and benefits, and define influence factors of business success on leadership systems integration in service providing organizations in Slovenia. We use quantitative research with frequent analysis complex questions to present and analyse some factors of leadership standards and build a new regression leadership model of organization. We have sent the questionnaire to 89 organizations, all with certificate sys...

  4. The Next Generation of ABA Providers.

    Science.gov (United States)

    Dixon, Mark R

    2014-10-01

    The imbalance of supply and demand for behavior analytic services will change in the near future. Behavior analysts, who want to survive in an increasing competitive marketplace, will need to show quality results and better results than the next behavior analyst. Trumpet Behavioral Health is a company designed to infuse scientific research with clinical practices. In the years ahead, look to companies like Trumpet as role models of the next generation of autism service providers. PMID:27471663

  5. Providing emergency supply of nuclear power plants

    OpenAIRE

    ROZMILER, Jiří

    2013-01-01

    Work "Providing emergency power nuclear power plant" describes how solving their own consumption nuclear power plant, as emergency power supply is designed and how it should be a solution of known states of emergency, having an immediate impact on the power consumption of their own nuclear power plants. The aim of this thesis is to propose options to strengthen its own emergency power consumption of nuclear power plants, one might say-more resistant to harsh extremes, which could lead to loss...

  6. Providing Real Research Opoportunities to Undergraduates

    Science.gov (United States)

    Ragozzine, Darin

    2016-01-01

    The current approach to undergraduate education focuses on teaching classes which provide the foundational knowledge for more applied experiences such as scientific research. Like most programs, Florida Institute of Technology (Florida Tech or FIT) strongly encourages undergraduate research, but is dominated by content-focused courses (e.g., "Physical Mechanics"). Research-like experiences are generally offered through "lab" classes, but these are almost always reproductions of past experiments: contrived, formulaic, and lacking the "heart" of real (i.e., potentially publishable) scientific research. Real research opportunities 1) provide students with realistic insight into the actual scientific process; 2) excite students far more than end-of-chapter problems; 3) provide context for the importance of learning math, physics, and astrophysics concepts; and 4) allow unique research progress for well-chosen problems. I have provided real research opportunities as an "Exoplanet Lab" component of my Introduction to Space Science (SPS1020) class at Florida Tech, generally taken by first-year majors in our Physics, Astronomy & Astrophysics, Planetary Science, and Astrobiology degree programs. These labs are a hybrid between citizen science (e.g., PlanetHunters) and simultaneously mentoring ~60 undergraduates in similar small research projects. These projects focus on problems that can be understood in the context of the course, but which benefit from "crowdsourcing". Examples include: dividing up the known planetary systems and developing a classification scheme and organizing them into populations (Fall 2013); searching through folded light curves to discover new exoplanets missed by previous pipelines (Fall 2014); and fitting n-body models to all exoplanets with known Transit Timing Variations to estimate planet masses (Fall 2015). The students love the fact that they are doing real potentially publishable research: not many undergraduates can claim to have discovered

  7. Providing research infrastructures with data publishing

    OpenAIRE

    Assante, Massimiliano; Candela, Leonardo; Manghi, Paolo; Pagano, Pasquale (ISTI-CNR); Castelli, Donatella

    2015-01-01

    The purpose of data publishing is to release research data for others to use. However, its implementation remains an open issue. 'Science 2.0 Repositories' (SciRepos) address the publishing requirements arising in Science 2.0 by blurring the distinction between research life-cycle and research publishing. SciRepos interface with the ICT services of research infrastructures to intercept and publish research products while providing researchers with social networking tools for discovery, notifi...

  8. Employer Provided Health Insurance and Retirement Behavior

    OpenAIRE

    1993-01-01

    This paper analyzes the effects on retirement of employer provided health benefits to workers and retirees. Retiree health benefits delay retirement until age of eligibility, and then accelerate it. With a base case of no retiree health coverage, granting retiree health coverage to all those with employer coverage while working accelerates retirement age by less than one month. Valuing benefits at costs of private health insurance to unaffiliated individuals, rather than at group rates, incre...

  9. ACCOUNTING TREATMENTS USED FOR ACCOUNTING SERVICES PROVIDERS

    OpenAIRE

    ŢOGOE GRETI DANIELA; AVRAM MARIOARA; AVRAM COSTIN DANIEL

    2014-01-01

    The theme of our research is the ways of keeping accounting entities that are the object of the provision of services in the accounting profession. This paper aims to achieve a parallel between the ways of organizing financial records - accounting provided by freelancers and companies with activity in the financial - accounting. The first step in our scientific research is to establish objectives chosen area of scientific knowledge. Our scientific approach seeks to explain thr...

  10. Logistics Service Providers in the Czech Republic

    OpenAIRE

    HRNEČKOVÁ, Kateřina

    2010-01-01

    The main purpose of the thesis is to analyze the developement of providing logistics services in the Czech Republic and analyze the current situation and expected trends in the near future. The thesis presents the implementation process of logistics outsourcing and follows up the influence of the outsourcing at the level of logistics costs. Manufacturing companies see in logistics the potential tool to improve the efficiency in their operations and they include the logistics in their strategi...

  11. Mobile application to provide personalized sightseeing tours

    OpenAIRE

    Anacleto, Ricardo; Figueiredo, Lino; Almeida, Ana; Novais, Paulo

    2014-01-01

    Tourist recommendation systems have been growing over the last few years, mainly because of the use of mobile devices to obtain user context. This work discusses some of the most relevant systems on the field and presents PSiS Mobile, which is a mobile recommendation and planning application designed to support a tourist during his vacations. It provides recommendations about points of interest to visit based on tourist preferences and on user and sight context. Also, it suggests a visit plan...

  12. Supercomputing Centers and Electricity Service Providers

    DEFF Research Database (Denmark)

    Patki, Tapasya; Bates, Natalie; Ghatikar, Girish;

    2016-01-01

    Supercomputing Centers (SCs) have high and variable power demands, which increase the challenges of the Electricity Service Providers (ESPs) with regards to efficient electricity distribution and reliable grid operation. High penetration of renewable energy generation further exacerbates...... (LRZ). We conclude that perspectives on demand management are dependent on the electricity market and pricing in the geographical region and on the degree of control that a particular SC has in terms of power-purchase negotiation....

  13. Airborne Internet Providing Tethered Balloon System

    Directory of Open Access Journals (Sweden)

    Suvriti Dhawan1

    2015-12-01

    Full Text Available In this paper we shall introduce a new system for providing wireless network communication over a specified area using ’lighter than air’ balloons. This technology will replace the existing fiber optic network system. This will be done by using a tethered balloon along with the payload (containing a receiver, a transmitter and a radio communication device.This payload will be suspended from the ground at an altitude (depending on the area of coverage required. Users under this area will be able to access this system directly for internet connectivity. This system can be used over large areas like universities, companies and societies to provide internet facility to their users through Wi-Fi or over an area where the user is specified (commercial purposes. Currently Google is working on similar idea called the ’Google Loon’ in which they use high altitude balloons which float at an altitude twice as high as air planes and the weather. They recently tested this system over New-Zealand by providing internet to their pilot testers on ground. Their balloons not being stationary, move with directional winds and have to be replaced one after the other to maintain consistency. This can be a huge problem over the areas where upper atmospheric winds are not in favorable direction. We can resolve this problem by using our stationary tethered balloon system which can communicate with the loon balloons to provide internet facility over a desired area. Moreover when our balloon will communicate with the loon balloon it will increase the coverage area as the loon balloon has to communicate to a point which is above the ground. Our system will not only replace the existing fiber optic system but it will also be selfsustaining i.e. It will generate its own power using solar panels.

  14. Optimal Policies with Strategic Distortions

    OpenAIRE

    Kala Krishna; Marie Thursby

    1988-01-01

    Recent work in optimal trade policy for imperfectly competitive markets usually identifies the optimal level of an instrument, and when more instruments are allowed, general interpretations have been unavailable, This paper analyzes the jointly optimal levels of a Variety of instruments with oligopolistic competition. A targeting principle for identifying optimal policies is derived using the concept of a "strategic distortion." It is shown how optimal policies vary with the distortions prese...

  15. Optimization in computational systems biology

    OpenAIRE

    Banga Julio R

    2008-01-01

    Abstract Optimization aims to make a system or design as effective or functional as possible. Mathematical optimization methods are widely used in engineering, economics and science. This commentary is focused on applications of mathematical optimization in computational systems biology. Examples are given where optimization methods are used for topics ranging from model building and optimal experimental design to metabolic engineering and synthetic biology. Finally, several perspectives for ...

  16. Provider volume and outcomes for oncological procedures.

    LENUS (Irish Health Repository)

    Killeen, S D

    2012-02-03

    BACKGROUND: Oncological procedures may have better outcomes if performed by high-volume providers. METHODS: A review of the English language literature incorporating searches of the Medline, Embase and Cochrane collaboration databases was performed. Studies were included if they involved a patient cohort from 1984 onwards, were community or population based, and assessed health outcome as a dependent variable and volume as an independent variable. The studies were also scored quantifiably to assess generalizability with respect to any observed volume-outcome relationship and analysed according to organ system; numbers needed to treat were estimated where possible. RESULTS: Sixty-eight relevant studies were identified and a total of 41 were included, of which 13 were based on clinical data. All showed either an inverse relationship, of variable magnitude, between provider volume and mortality, or no volume-outcome effect. All but two clinical reports revealed a statistically significant positive relationship between volume and outcome; none demonstrated the opposite. CONCLUSION: High-volume providers have a significantly better outcome for complex cancer surgery, specifically for pancreatectomy, oesphagectomy, gastrectomy and rectal resection.

  17. INNOVATIVE ASPECTS OF THE PROVIDING COMPETITIVENESS OFENTERPRISES

    Directory of Open Access Journals (Sweden)

    Н. Yamnenko

    2016-01-01

    Full Text Available The world experience of economic development shows that innovations are the catalyst of modernization and restructuring of the economy, which contributedthe strengthening of the competitiveness, profitability and innovative development of enterprisesand help to conquer new and retain existing markets. The decision of problems of activation of innovative activity of enterprises becomes the main guarantee of providing of success of market reforms. The purpose of this article is to determine of features of intercommunication between innovative activity and competitive advantages of an enterprise. The study identified the competitive advantages related to innovative activity. It is proved that the maintenance of sustainable competition position at the market depends on determination and maintenance of key success factors. It is determined the basic stages of providing of competitiveness of an enterprise through the use of its innovative capabilities. It is shown that only through developing existing and creating new competitive advantages an enterprise will be able to attain the desired state of competitiveness in the modern realities. It has suggested forming an effective competitive strategy through extensive use of innovative decisions on the basis of knowledge for providing of competitiveness of enterprises. The basis to competitive advantages should be considered the process of stimulation innovations.

  18. ACCOUNTING TREATMENTS USED FOR ACCOUNTING SERVICES PROVIDERS

    Directory of Open Access Journals (Sweden)

    ŢOGOE GRETI DANIELA

    2014-08-01

    Full Text Available The theme of our research is the ways of keeping accounting entities that are the object of the provision of services in the accounting profession. This paper aims to achieve a parallel between the ways of organizing financial records - accounting provided by freelancers and companies with activity in the financial - accounting. The first step in our scientific research is to establish objectives chosen area of scientific knowledge. Our scientific approach seeks to explain through a thorough and detailed approach as different sides (conceptual and practical looking projections of accounting issues related to regulatory developments and practices in the field. This paper addresses various concepts, accounting treatments, and books and accounting documents used both freelancers in providing accounting services and legal persons authorized accounting profession. In terms of methodology and research perspective, the whole scientific approach combined with quantitative and qualitative research theoretical perspective (descriptive-conceptual with practice perspective (empirical analyzing the main contributions of various authors (Romanian and foreign to knowledge in the field. Following the survey believe that the amendments to the national legislation will support entities providing accounting services, by cutting red tape on Administrative Burdens, and consequently will increase profitability and increase service quality.

  19. Optimization of Bolt Stress

    DEFF Research Database (Denmark)

    Pedersen, Niels Leergaard

    2013-01-01

    The state of stress in bolts and nuts with ISO metric thread design is examined and optimized. The assumed failure mode is fatigue so the applied preload and the load amplitude together with the stress concentrations define the connection strength. Maximum stress in the bolt is found at, the fillet...

  20. Is Optimism Real?

    Science.gov (United States)

    Simmons, Joseph P.; Massey, Cade

    2012-01-01

    Is optimism real, or are optimistic forecasts just cheap talk? To help answer this question, we investigated whether optimistic predictions persist in the face of large incentives to be accurate. We asked National Football League football fans to predict the winner of a single game. Roughly half (the partisans) predicted a game involving their…

  1. Optimal Ski Jump

    Science.gov (United States)

    Rebilas, Krzysztof

    2013-01-01

    Consider a skier who goes down a takeoff ramp, attains a speed "V", and jumps, attempting to land as far as possible down the hill below (Fig. 1). At the moment of takeoff the angle between the skier's velocity and the horizontal is [alpha]. What is the optimal angle [alpha] that makes the jump the longest possible for the fixed magnitude of the…

  2. Optimization in Cardiovascular Modeling

    Science.gov (United States)

    Marsden, Alison L.

    2014-01-01

    Fluid mechanics plays a key role in the development, progression, and treatment of cardiovascular disease. Advances in imaging methods and patient-specific modeling now reveal increasingly detailed information about blood flow patterns in health and disease. Building on these tools, there is now an opportunity to couple blood flow simulation with optimization algorithms to improve the design of surgeries and devices, incorporating more information about the flow physics in the design process to augment current medical knowledge. In doing so, a major challenge is the need for efficient optimization tools that are appropriate for unsteady fluid mechanics problems, particularly for the optimization of complex patient-specific models in the presence of uncertainty. This article reviews the state of the art in optimization tools for virtual surgery, device design, and model parameter identification in cardiovascular flow and mechanobiology applications. In particular, it reviews trade-offs between traditional gradient-based methods and derivative-free approaches, as well as the need to incorporate uncertainties. Key future challenges are outlined, which extend to the incorporation of biological response and the customization of surgeries and devices for individual patients.

  3. Danfoss: Scroll Optimization

    DEFF Research Database (Denmark)

    Gravesen, Jens; Henriksen, Christian; Howell, Peter

    1998-01-01

    The standard scroll compressor consists of two identical spirals (circle involutes) running inside each other.The task from Danfoss was to investigate how a change in the basic geometry of the scrolss and the orbit influence the compressor performnce and efficiency, and then try to optimize...

  4. Calculating Optimal Inventory Size

    Directory of Open Access Journals (Sweden)

    Ruby Perez

    2010-01-01

    Full Text Available The purpose of the project is to find the optimal value for the Economic Order Quantity Model and then use a lean manufacturing Kanban equation to find a numeric value that will minimize the total cost and the inventory size.

  5. Optimizing Computer Technology Integration

    Science.gov (United States)

    Dillon-Marable, Elizabeth; Valentine, Thomas

    2006-01-01

    The purpose of this study was to better understand what optimal computer technology integration looks like in adult basic skills education (ABSE). One question guided the research: How is computer technology integration best conceptualized and measured? The study used the Delphi method to map the construct of computer technology integration and…

  6. Optimalization of IGBT Communication

    Directory of Open Access Journals (Sweden)

    Pavol Spanik

    2002-01-01

    Full Text Available The paper presents IGBT switch off process in order to reduce power loss in the structure. The soft switching method using switch-off after current reduction is used. Process mentioned above is optimized to minimize the power loss that is determined by experiment. Results obtained in the experiment can be helpful in a converter and controller design process.

  7. Optimal Aging and Death

    DEFF Research Database (Denmark)

    Dalgaard, Carl-Johan; Strulik, Holger

    the representative consumer is subject to physiological aging. In modeling aging we draw on recent research in the fields of biology and medicine. The speed of the aging process, and thus the time of death, are endogenously determined by optimal health investments. We calibrate the model to US data and proceed...

  8. Optimality-theoretic pragmatics

    NARCIS (Netherlands)

    R. Blutner; H. Zeevat

    2009-01-01

    The article aims to give an overview about the application of Optimality Theory (OT) to the domain of pragmatics. In the introductory part we discuss different ways to view the division of labor between semantics and pragmatics. Rejecting the doctrine of literal meaning we conform to (i) semantic un

  9. Topology optimization approaches

    DEFF Research Database (Denmark)

    Sigmund, Ole; Maute, Kurt

    2013-01-01

    Topology optimization has undergone a tremendous development since its introduction in the seminal paper by Bendsøe and Kikuchi in 1988. By now, the concept is developing in many different directions, including “density”, “level set”, “topological derivative”, “phase field”, “evolutionary...

  10. Optimal Central Bank Transparency

    NARCIS (Netherlands)

    van der Cruijsen, C.A.B.; Eijffinger, S.C.W.; Hoogduin, L.H.

    2008-01-01

    Should central banks increase their degree of transparency any further? We show that there is likely to be an optimal intermediate degree of central bank transparency. Up to this optimum more transparency is desirable: it improves the quality of private sector inflation forecasts. But beyond the opt

  11. Optimal central bank transparency

    NARCIS (Netherlands)

    C.A.B. van der Cruijsen; S.C.W. Eijffinger; L. Hoogduin

    2008-01-01

    Should central banks increase their degree of transparency any further? We show that there is likely to be an optimal intermediate degree of central bank transparency. Up to this optimum more transparency is desirable: it improves the quality of private sector inflation forecasts. But beyond the opt

  12. Optimal central bank transparency

    NARCIS (Netherlands)

    C.A.B. van der Cruijsen; S.C.W. Eijffinger; L.H. Hoogduin

    2010-01-01

    Should central banks increase their degree of transparency any further? We show that there is likely to be an optimal intermediate degree of central bank transparency. Up to this optimum more transparency is desirable: it improves the quality of private sector inflation forecasts. But beyond the opt

  13. Optimizing Running Performance.

    Science.gov (United States)

    Widule, Carol J.

    1989-01-01

    The optimization of step length and step rate (frequency) is essential for sprinters. This article analyzes data that compare step rate and step length to height, as a function of running speed, for ten elite runners. How results of such analyses can be used in training runners is also discussed. (IAH)

  14. Optimal Market Design

    NARCIS (Netherlands)

    Boone, J.; Goeree, J.K.

    2010-01-01

    This paper introduces three methodological advances to study the optimal design of static and dynamic markets. First, we apply a mechanism design approach to characterize all incentive-compatible market equilibria. Second, we conduct a normative analysis, i.e. we evaluate alternative competition and

  15. OPTIMIZED PARTICLE SWARM OPTIMIZATION BASED DEADLINE CONSTRAINED TASK SCHEDULING IN HYBRID CLOUD

    Directory of Open Access Journals (Sweden)

    Dhananjay Kumar

    2016-01-01

    Full Text Available Cloud Computing is a dominant way of sharing of computing resources that can be configured and provisioned easily. Task scheduling in Hybrid cloud is a challenge as it suffers from producing the best QoS (Quality of Service when there is a high demand. In this paper a new resource allocation algorithm, to find the best External Cloud provider when the intermediate provider’s resources aren’t enough to satisfy the customer’s demand is proposed. The proposed algorithm called Optimized Particle Swarm Optimization (OPSO combines the two metaheuristic algorithms namely Particle Swarm Optimization and Ant Colony Optimization (ACO. These metaheuristic algorithms are used for the purpose of optimization in the search space of the required solution, to find the best resource from the pool of resources and to obtain maximum profit even when the number of tasks submitted for execution is very high. This optimization is performed to allocate job requests to internal and external cloud providers to obtain maximum profit. It helps to improve the system performance by improving the CPU utilization, and handle multiple requests at the same time. The simulation result shows that an OPSO yields 0.1% - 5% profit to the intermediate cloud provider compared with standard PSO and ACO algorithms and it also increases the CPU utilization by 0.1%.

  16. Turnpike phenomenon and infinite horizon optimal control

    CERN Document Server

    Zaslavski, Alexander J

    2014-01-01

    This book is devoted to the study of the turnpike phenomenon and describes the existence of solutions for a large variety of infinite horizon optimal control classes of problems.  Chapter 1 provides introductory material on turnpike properties. Chapter 2 studies the turnpike phenomenon for discrete-time optimal control problems. The turnpike properties of autonomous problems with extended-value intergrands are studied in Chapter 3. Chapter 4 focuses on large classes of infinite horizon optimal control problems without convexity (concavity) assumptions. In Chapter 5, the turnpike results for a class of dynamic discrete-time two-player zero-sum game are proven. This thorough exposition will be very useful  for mathematicians working in the fields of optimal control, the calculus of variations, applied functional analysis, and infinite horizon optimization. It may also be used as a primary text in a graduate course in optimal control or as supplementary text for a variety of courses in other disciplines. Resea...

  17. Optimal online bounded space multidimensional packing

    NARCIS (Netherlands)

    Epstein, L.; Stee, R. van

    2003-01-01

    We solve an open problem in the literature by providing an online algorithm for multidimensional bin packing that uses only bounded space. We show that it is optimal among bounded space algorithms for any dimension $d>1$. Its asymptotic performance ratio is $(Pi_{infty})^d$, where $Pi_{infty}approx1

  18. RAOPS: Resource Allocation Optimization Program for Safegurards

    Energy Technology Data Exchange (ETDEWEB)

    Zardecki, A.; Markin, J.T.

    1994-03-01

    RAOPS--Resource Allocation Optimization Program for Safeguards is extended to a multiobjective return function having the detection probability and expected detection time as criteria. The expected detection time is included as a constraint, based on the well-known Avenhaus model of the optimum number of inventory periods. Examples of computation are provided.

  19. Optimal Design of an Experiment in Economics

    OpenAIRE

    Müller, Werner; Ponce de Leon, Antonio C.

    1993-01-01

    This paper deals with the application of optimal design principles in an experiment examining individual decision making under risk. It provides general principles on how to conduct experiments in a probit model estimation situation and illust rates the benefit of those techniques through equivalent number of observations. (author's abstract)

  20. Marketing Optimization for B2B Market

    OpenAIRE

    Kaynova Tatyana V.

    2012-01-01

    The article presents market definition B2B, the necessity to optimize marketing B2B market, provides a system for B2B-marketing and developed stages of its formation. On this basis it was identified key factors of customer loyalty and are the stages of development of loyalty programs for customers market B2B.

  1. Fuzziness and randomness in an optimization framework

    International Nuclear Information System (INIS)

    This paper presents a semi-infinite approach for linear programming in the presence of fuzzy random variable coefficients. As a byproduct a way for dealing with optimization problems including both fuzzy and random data is obtained. Numerical examples are provided for the sake of illustration. (author). 13 refs

  2. Singularity Theory for Nonlinear Optimization Problems

    OpenAIRE

    Casti, J.L.

    1987-01-01

    Techniques from the theory of singularities of smooth mappings are employed to study the reduction of nonlinear optimization problems to simpler forms. It is shown how singularity theory ideas can be used to: (1) reduce the decision-space dimensionality; (2) transform the constraint space to simpler form for primal algorithms; (3) provide sensitivity analysis.

  3. RPOA Model-Based Optimal Resource Provisioning

    Directory of Open Access Journals (Sweden)

    Noha El. Attar

    2014-01-01

    Full Text Available Optimal utilization of resources is the core of the provisioning process in the cloud computing. Sometimes the local resources of a data center are not adequate to satisfy the users’ requirements. So, the providers need to create several data centers at different geographical area around the world and spread the users’ applications on these resources to satisfy both service providers and customers QoS requirements. By considering the expansion of the resources and applications, the transmission cost and time have to be concerned as significant factors in the allocation process. According to the work of our previous paper, a Resource Provision Optimal Algorithm (RPOA based on Particle Swarm Optimization (PSO has been introduced to find the near optimal resource utilization with considering the customer budget and suitable for deadline time. This paper is considered an enhancement to RPOA algorithm to find the near optimal resource utilization with considering the data transfer time and cost, in addition to the customer budget and deadline time, in the performance measurement.

  4. The simplest formal argument for fitness optimization.

    Science.gov (United States)

    Grafen, Alen

    2008-12-01

    The Formal Darwinism Project aims to provide a formal argument linking population genetics to fitness optimization, which of necessity includes defining fitness. This bridges the gulf between those biologists who assume that natural selection leads to something close to fitness optimization and those biologists who believe on theoretical grounds that there is no sense of fitness that can usefully be said to be optimized. The current paper's main objective is to provide a careful mathematical introduction to the project, and it also reflects on the project's scope and limitations. The central argument is the proof of close ties between the mathematics of motion, as embodied in the Price equation, and the mathematics of optimization, as represented by optimization programmes. To make these links, a general and abstract model linking genotype, phenotype and number of successful gametes is assumed. The project has begun with simple dynamic models and simple linking models, and its progress will involve more realistic versions of them. The versions given here are fully mathematically rigorous, but elementary enough to serve as an introduction. PMID:19147931

  5. The simplest formal argument for fitness optimization

    Indian Academy of Sciences (India)

    Alan Grafen

    2008-12-01

    The Formal Darwinism Project aims to provide a formal argument linking population genetics to fitness optimization, which of necessity includes defining fitness. This bridges the gulf between those biologists who assume that natural selection leads to something close to fitness optimization and those biologists who believe on theoretical grounds that there is no sense of fitness that can usefully be said to be optimized. The current paper’s main objective is to provide a careful mathematical introduction to the project, and it also reflects on the project’s scope and limitations. The central argument is the proof of close ties between the mathematics of motion, as embodied in the Price equation, and the mathematics of optimization, as represented by optimization programmes. To make these links, a general and abstract model linking genotype, phenotype and number of successful gametes is assumed. The project has begun with simple dynamic models and simple linking models, and its progress will involve more realistic versions of them. The versions given here are fully mathematically rigorous, but elementary enough to serve as an introduction.

  6. Motion management with phase-adapted 4D-optimization

    OpenAIRE

    Nohadani, Omid; Seco, Joao; Bortfeld, Thomas

    2010-01-01

    Cancer treatment with ionizing radiation is often compromised by organ motion, in particular for lung cases. Motion uncertainties can significantly degrade an otherwise optimized treatment plan. We present a spatiotemporal optimization method, which takes into account all phases of breathing via the corresponding 4D-CTs and provides a 4D-optimal plan that can be delivered throughout all breathing phases. Monte Carlo dose calculations are employed to warrant for highest dosimetric accuracy, as...

  7. A Survey on the Applications of Bee Colony Optimization Techniques

    OpenAIRE

    Dr.Arvinder Kaur; Shivangi Goyal

    2011-01-01

    In this paper an overview of the areas where the Bee Colony Optimization (BCO) and its variants are applied have been given. Bee System was identified by Sato and Hagiwara in 1997 and the Bee Colony Optimization (BCO) was identified by Lucic and Teodorovic in 2001. BCO has emerged as a specialized class of Swarm Intelligence with bees as agents. It is an emerging field for researchers in the field of optimization problems because it provides immense problem solving scope for combinatorial and...

  8. Waste Minimization Through Process Integration and Multi-objective Optimization

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    By avoiding or reducing the production of waste, waste minimization is an effective approach to solve the pollution problem in chemical industry. Process integration supported by multi-objective optimization provides a framework for process design or process retrofit by simultaneously optimizing on the aspects of environment and economics. Multi-objective genetic algorithm is applied in this area as the solution approach for the multi-objective optimization problem.

  9. Optimal control of photoelectron emission by realistic waveforms

    OpenAIRE

    Solanpää, Janne; Ciappina, Marcelo F.; Räsänen, Esa

    2016-01-01

    Recent experimental techniques in multicolor waveform synthesis allow the temporal shaping of strong femtosecond laser pulses with applications in the control of quantum mechanical processes in atoms, molecules, and nanostructures. Prediction of the shapes of the optimal waveforms can be done computationally using quantum optimal control theory (QOCT). In this work we bring QOCT to experimental feasibility by providing an optimal control scheme with realistic pulse representation. We apply th...

  10. Optimal vortex formation as a unifying principle in biological propulsion

    OpenAIRE

    Dabiri, John O.

    2009-01-01

    I review the concept of optimal vortex formation and examine its relevance to propulsion in biological and bio-inspired systems, ranging from the human heart to underwater vehicles. By using examples from the existing literature and new analyses, I show that optimal vortex formation can potentially serve as a unifying principle to understand the diversity of solutions used to achieve propulsion in nature. Additionally, optimal vortex formation can provide a framework in which to design engine...

  11. Application of optimal control to a biomechanics model

    OpenAIRE

    Krasovskii, A.

    2015-01-01

    A model of sport biomechanics describing short-distance running (sprinting) is developed by applying methods of optimal control. In the considered model, the motion of a sportsman is described by a second-order ordinary differential equation. Two interconnected optimal control problems are formulated and solved: the minimum energy and time-optimal control problems. Based on the comparison with real data, it is shown that the proposed approach to sprint modeling provides realistic results.

  12. Optimal Taxation and Social Insurance with Endogenous Private Insurance

    OpenAIRE

    Chetty, Nadarajan; Saez, Emmanuel

    2008-01-01

    We characterize welfare gains from government intervention when the private sector provides partial insurance. We analyze models in which adverse selection, pre-existing information, or imperfect optimization create a role for government intervention. We derive formulas that map existing empirical estimates into quantitative predictions for optimal policy. When private insurance generates moral hazard, standard formulas for optimal government insurance must be modified to account for fiscal e...

  13. The Dual Approach to Recursive Optimization: Theory and Examples

    OpenAIRE

    Nicola Pavoni; Christopher Sleet; Matthias Messner

    2014-01-01

    We bring together the theories of duality and dynamic programming. We show that the dual of a separable dynamic optimization problem can be recursively decomposed. We provide a dual version of the principle of optimality and give conditions under which the dual Bellman operator is a contraction with the optimal dual value function its unique fixed point. We relate primal and dual problems, address computational issues and give examples.

  14. Optimal scope of supply chain network & operations design

    OpenAIRE

    N. Ma

    2014-01-01

    The increasingly complex supply chain networks and operations call for the development of decision support systems and optimization techniques that take a holistic view of supply chain issues and provide support for integrated decision-making. The economic impacts of optimized supply chain are significant and that has attracted considerable research attention since the late 1990s. This doctoral thesis focuses on developing manageable and realistic optimization models for solving four contempo...

  15. Online Advertisement, Optimization and Stochastic Networks

    OpenAIRE

    Tan, Bo; Srikant, R.

    2010-01-01

    In this paper, we propose a stochastic model to describe how search service providers charge client companies based on users' queries for the keywords related to these companies' ads by using certain advertisement assignment strategies. We formulate an optimization problem to maximize the long-term average revenue for the service provider under each client's long-term average budget constraint, and design an online algorithm which captures the stochastic properties of users' queries and click...

  16. Optimal Control for Vehicle Cruise Speed Transfer

    OpenAIRE

    Jorge, Tiago R.; Lemos, João M; Barão, Miguel

    2011-01-01

    The contribution of this paper consists in a procedure to solve the optimal cruise control problem that consists in transferring the car velocity between two specified values, in a fixed interval of time, with minimum fuel consumption. The solution is obtained by applying a recursive numerical algorithm that provides an approximation to the condition provided by Pontryagin’s Optimum Principle. This solution is compared with the one obtained by using a reduced complexity linear model for the c...

  17. Threatened corals provide underexplored microbial habitats.

    Directory of Open Access Journals (Sweden)

    Shinichi Sunagawa

    Full Text Available Contemporary in-depth sequencing of environmental samples has provided novel insights into microbial community structures, revealing that their diversity had been previously underestimated. Communities in marine environments are commonly composed of a few dominant taxa and a high number of taxonomically diverse, low-abundance organisms. However, studying the roles and genomic information of these "rare" organisms remains challenging, because little is known about their ecological niches and the environmental conditions to which they respond. Given the current threat to coral reef ecosystems, we investigated the potential of corals to provide highly specialized habitats for bacterial taxa including those that are rarely detected or absent in surrounding reef waters. The analysis of more than 350,000 small subunit ribosomal RNA (16S rRNA sequence tags and almost 2,000 nearly full-length 16S rRNA gene sequences revealed that rare seawater biosphere members are highly abundant or even dominant in diverse Caribbean corals. Closely related corals (in the same genus/family harbored similar bacterial communities. At higher taxonomic levels, however, the similarities of these communities did not correlate with the phylogenetic relationships among corals, opening novel questions about the evolutionary stability of coral-microbial associations. Large proportions of OTUs (28.7-49.1% were unique to the coral species of origin. Analysis of the most dominant ribotypes suggests that many uncovered bacterial taxa exist in coral habitats and await future exploration. Our results indicate that coral species, and by extension other animal hosts, act as specialized habitats of otherwise rare microbes in marine ecosystems. Here, deep sequencing provided insights into coral microbiota at an unparalleled resolution and revealed that corals harbor many bacterial taxa previously not known. Given that two of the coral species investigated are listed as threatened under

  18. Intraoperative patient information handover between anesthesia providers

    Science.gov (United States)

    Choromanski, Dominik; Frederick, Joel; McKelvey, George Michael; Wang, Hong

    2014-01-01

    Abstract Currently, no reported studies have evaluated intraoperative handover among anesthesia providers. Studies on anesthetic handover in the US recovery room setting observed that handover processes are insufficient and, in many instances, significant intraoperative events are disregarded. An online survey tool was sent to anesthesia providers at US anesthesia residency programs nationwide (120 out of the 132 US programs encompassing around 4500 residents and their academic MDAs) and a smaller survey selection of CRNAs (10 institutions about 300 CRNAs in the metropolitan area of Detroit, MI, USA) to collect information on handover practices. The response rate to this survey (n = 216) was comprised of approximately 5% (n = 71) of the resident population in US anesthesia programs, 5% (n = 87) of MDAs , and 20% (n = 58) of the CRNAs. Out of all respondents (n = 212), 49.1 % had no hand-over protocol at their institution and 88% of respondents who did have institutional handover protocols believed them insufficient for effective patient handover. In addiiton, 84.8% of all responders reported situations where there was insufficient information received during a patient handover. Only 7% of the respondents reported never experiencing complications or mismanagement due to poor or incomplete hand-overs. In contrast, 60% reported rarely having complications, 31% reported sometimes having complications, and 3% reported frequent complications. In conclusion, handover transition of patient care is a vulnerable and potentially life-threatening event in the operating room. Our preliminary study suggests that current intraoperatvive handover practices among anesthesia providers are suboptimal and that national patient handover guidelines are required to improve patient safety. PMID:25332710

  19. An optimal structural design algorithm using optimality criteria

    Science.gov (United States)

    Taylor, J. E.; Rossow, M. P.

    1976-01-01

    An algorithm for optimal design is given which incorporates several of the desirable features of both mathematical programming and optimality criteria, while avoiding some of the undesirable features. The algorithm proceeds by approaching the optimal solution through the solutions of an associated set of constrained optimal design problems. The solutions of the constrained problems are recognized at each stage through the application of optimality criteria based on energy concepts. Two examples are described in which the optimal member size and layout of a truss is predicted, given the joint locations and loads.

  20. Esourcing capability model for service providers

    CERN Document Server

    Hefley, Keith M Heston and Bill; Hyder, Elaine

    2010-01-01

    The eSourcing Capability Model for Service Providers (eSCM-SP) is the best practices model that supports sourcing organizations successfully manage and reduce their risks and improve their capabilities across the entire sourcing life-cycle. It addresses the critical issues related to IT-enabled sourcing (eSourcing) for both outsourced and in-sourced (shared services) agreements. Each of the Model's 84 Practice is distributed along three easy to follow dimensions: Sourcing Life-cycle, Capability Area, and Capability Level, and have been applied in IT, BPO, and KPO settings.The eSCM-SP has been