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

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    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

  2. Simulations for EBS Task Force BMT 1

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    Lempinen, A. [Marintel Ky, Turku (Finland)

    2006-12-15

    The Aespoe HRL International Joint Committee has set up a Task Force on Engineered Barrier Systems (EBS). Its long time objective is to develop effective tools for analysis of THM(C) behaviour of buffer and backfill. The idea of the Task Force is to offer a forum to develop the tools of the work groups. This BMT has two parts: BMT 1.1 and BMT 1.2 based on the performance of THM mock-up experiments on MX-80 bentonite by CEA and FEBEX bentonite by CIEMAT, respectively. Simulation results are presented here. These simulations are performed with Freefem++ software, which is a high-level programming language for solving partiel differential equations with finite element method. The mathematical model used is based on continuum thermodynamics. The simulations repeat the evolution of relevant THM variables of the experiments fairly well, but some modificatios of parameters is needed, especially in hydraulic behaviour. (orig.)

  3. Donor HLA-specific Abs: to BMT or not to BMT?

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    Leffell, M S; Jones, R J; Gladstone, D E

    2015-06-01

    The engraftment failure associated with Abs to donor-specific HLA (DSA) limits options for sensitized BMT candidates. Fourteen of fifteen patients with no other viable donor options were desensitized and transplanted using a regimen of plasmapheresis and low-dose i.v. Ig modified to accommodate pre-BMT conditioning. DSA levels were assessed by solid-phase immunoassays and cell-based crossmatch tests. DSA levels were monitored throughout desensitization and on day -1 to determine if there was any DSA rebound that would require additional treatment. A mean reduction in DSA level of 64.4% was achieved at the end of desensitization, with a subsequent reduction of 85.5% after transplantation. DSA in 11 patients was reduced to levels considered negative post-BMT, whereas DSA in three patients remained at low levels. All 14 patients achieved donor engraftment by day +60; however, seven patients suffered disease relapses. Four patients experienced mild, grade 1 GVHD. Factors influencing the response to desensitization include initial DSA strength, number, specificity, DSA rebound and a mismatch repeated from a prior transplant. While desensitization should be reserved for patients with limited donor options, careful DSA assessment and monitoring can facilitate successful engraftment after BMT.

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

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    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. BMT Roadmap: A User-Centered Design Health Information Technology Tool to Promote Patient-Centered Care in Pediatric Hematopoietic Cell Transplantation.

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    Runaas, Lyndsey; Hanauer, David; Maher, Molly; Bischoff, Evan; Fauer, Alex; Hoang, Tiffany; Munaco, Anna; Sankaran, Roshun; Gupta, Rahael; Seyedsalehi, Sajjad; Cohn, Amy; An, Larry; Tewari, Muneesh; Choi, Sung Won

    2017-05-01

    Health information technology (HIT) has great potential for increasing patient engagement. Pediatric hematopoietic cell transplantation (HCT) is a setting ripe for using HIT but in which little research exists. "BMT Roadmap" is a web-based application that integrates patient-specific information and includes several domains: laboratory results, medications, clinical trial details, photos of the healthcare team, trajectory of transplant process, and discharge checklist. BMT Roadmap was provided to 10 caregivers of patients undergoing first-time HCT. Research assistants performed weekly qualitative interviews throughout the patient's hospitalization and at discharge and day 100 to assess the impact of BMT Roadmap. Rigorous thematic analysis revealed 5 recurrent themes: emotional impact of the HCT process itself; critical importance of communication among patients, caregivers, and healthcare providers; ways in which BMT Roadmap was helpful during inpatient setting; suggestions for improving BMT Roadmap; and other strategies for organization and management of complex healthcare needs that could be incorporated into BMT Roadmap. Caregivers found the tool useful and easy to use, leading them to want even greater access to information. BMT Roadmap was feasible, with no disruption to inpatient care. Although this initial study is limited by the small sample size and single-institution experience, these initial findings are encouraging and support further investigation.

  6. Simulations of EBS task force BMT 1.3

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    Lempinen, A. (Marintel Ky, Turku (Finland))

    2007-08-15

    The Aespoe HRL International Joint Committee has set up a Task Force on Engineered Barrier Systems (EBS). Its long time objective is to develop effective tools for analysis of THM(C) behaviour of buffer and backfill. The idea of the Task Force is to offer a forum to develop the tools of the work groups. Bench Mark Test (BMT) 1.3 was a small-scale heating test with no external water supply. The experiment was conducted by Technical University of Catalonia. It was a thermal-hydraulic-mechanical test, although only temperature was measured continuously. Simulation results are presented here. These simulations were performed with Freefem++ software, which is a high-level programming language for solving partial differential equations with finite element method. The mathematical model used is based on continuum thermodynamics. With the model improvements for BMT 1.3, also BMT 1.2 was recalculated. (orig.)

  7. PERAN BMT DALAM MENGATASI KEMISKINAN DI KABUPATEN BANTUL

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    Jaka Sriyana

    2013-06-01

    Full Text Available This study aims to analyze the role of BMT in reducing poverty in Bantul, especially from the aspect of BMT role in increasing income members. This research applies regression analysis with data perception of the BMT’s members. The results show that business education variable, the Baitul Maal funds utilization, and motivation to work the members have a significant role in increasing the income of the members. Baitul Maal fund utilization significantly affects to increase their income. Motivation factor is also one of the variables that affect their income. From these results may be taken to imply that the perception of members of the existence and role of BMT to increase people’s income in order to decrease the poverty was primarily due to activities that are social, educational, and increased motivation to work.

  8. 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.

  9. Biosimilars: Opportunities to Promote Optimization Through Payer and Provider Collaboration.

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    Manolis, Chronis H; Rajasenan, Kiran; Harwin, William; McClelland, Scott; Lopes, Maria; Farnum, Carolyn

    2016-09-01

    A panel was convened that consisted of 1 medical director, 2 pharmacy directors, and 2 oncologists, who represented the University of Pittsburgh Medical Center Health Plan, an integrated delivery network, and Florida Blue, a progressive regional health plan. This panel met in order to share ideas, discuss challenges, and develop practical solutions to promote optimal utilization in order to encourage collaboration between payers and providers to help ensure the success of biosimilar entrants into the marketplace. Live meetings were conducted in Orlando, Florida, and Pittsburgh, Pennsylvania, and were followed by virtual meetings to solidify ideas and concepts for this supplement. It is important for biosimilar manufacturers to identify potential payer, provider, and patient obstacles in order to develop strategic and tactical plans to preemptively address these potential obstacles. Gathering payer and provider insights will shed light on various issues such as access and reimbursement. Biosimilar manufacturers must be proactive in the education of payers, providers, and patients to ensure access to biosimilars. A strong factor emphasized among this group was that the assumption surrounding biosimilar development and use is the potential for health care cost savings. According to the panel, payers and providers must carefully consider economic implications and potential cost-effectiveness in order to increase the acceptance or understanding of biosimilars in clinical practice. The group identified 3 major challenges surrounding biosimilar adoption: (1) provider confidence in biosimilar education and clinical value, (2) provider confidence in reimbursement for new biosimilars, and (3) creating shared payer and provider cost-savings. After identification of the 3 challenges, the group posed potential solutions to help with biosimilar adoption.

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

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    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.

  11. Bone marrow transplantation in childhood: a report from the AIEOP-BMT group registry.

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    Paolucci, P; Dini, G; Dallorso, S; Meloni, G; Arcese, W; Porta, F; Bonetti, F; Uderzo, C; Locasciulli, A; Andolina, M

    1991-01-01

    A multicenter cooperative group has been activated in Italy in 1986, with the aim of focusing on the following issues: to standardize perspectively the approach to bone marrow transplantation (BMT) in pediatric centers granting the recommendations of the Associazione Italiana di Ematologia e Oncologia Pediatrica (AIEOP); to study effects and toxicity of preparative regimens to BMT; to evaluate the special features of BMT in children, such as clinical management, care and late effects, as peculiar issues of a pediatric setting. Indeed, one of the major aims of the group is to attempt to address in the most appropriate ways, such as in children only and at a nation-wide level, the most crucial questions about the real role of BMT, taking advantage from the fact that most of the children with cancer undergoing BMT in Italy have been treated homogeneously before transplant, i.e. according to AIEOP protocols (70%). Accordingly, specific information were recorded by means of problem oriented forms, aimed to generate a full registry. The registry has been collecting the experiences of 10 pediatric hematology and oncology centers where children eligible for BMT were registered and/or where BMT was performed. This paper was meant both to summarize the 4 years activity of the registry and to analyze what we have learnt so far, as well as what may be suggested to design our future strategies by presently available although retrospective data. It is concluded that the pediatric BMT registry we set up appears useful and of growing interest and potential relevance.

  12. Optimalisasi Intermediasi dan Pembiayaan BMT Menuju Pemberdayaan Ekonomi Masyarakat

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    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.

  13. Degradation of Benzo [a] Pyrene by a novel strain Bacillus subtilis BMT4i (MTCC 9447

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    Madhuri Kaushish Lily

    2009-12-01

    Full Text Available Benzo [a] Pyrene (BaP is a highly recalcitrant, polycyclic aromatic hydrocarbon (PAH with high genotoxicity and carcinogenicity. It is formed and released into the environment due to incomplete combustion of fossil fuel and various anthropogenic activities including cigarette smoke and automobile exhausts. The aim of present study is to isolate bacteria which can degrade BaP as a sole source of carbon and energy. We have isolated a novel strain BMT4i (MTCC 9447 of Bacillus subtilis from automobile contaminated soil using BaP (50 μg /ml as the sole source of carbon and energy in basal salt mineral (BSM medium. The growth kinetics of BMT4i was studied using CFU method which revealed that BMT4i is able to survive in BaP-BSM medium up to 40 days attaining its peak growth (10(29 fold increase in cell number on 7 days of incubation. The BaP degradation kinetics of BMT4i was studied using High Performance Liquid Chromatography (HPLC analysis of BaP biodegradation products. BMT4i started degrading BaP after 24 hours and continued up to 28 days achieving maximum degradation of approximately 84.66 %. The above findings inferred that BMT4i is a very efficient degrader of BaP. To our best of knowledge, this is the first report showing utilization of BaP as a sole source of carbon and energy by bacteria. In addition, BMT4i can degrade a wide range of PAHs including naphthalene, anthracene, and dibenzothiophene therefore, it could serve as a better candidate for bioremediation of PAHs contaminated sites.

  14. Major depression in 1998: are we providing optimal therapy?

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    Angst, J

    1999-01-01

    Depression is a common illness associated with long duration of episodes, high rates of chronicity, relapse and recurrence, psychosocial and physical impairment, and high suicide rate. A lifetime prevalence of approximately 17% has been widely reported, and the likelihood of recurrence is more than 50%. A conceptual shift has occurred in our understanding of depression. It is now seen as a chronic medical disorder that produces as much functional limitation and morbidity as chronic diseases such as hypertension and diabetes. Predictors of chronicity include long duration of index episode, relationship difficulties, low family income, admitting research center, and inpatient hospitalization. Risk factors for recurrence include lack of self-confidence, neuroticism, previous hospital admission, loss events, and age. The aim of treatment is to induce a stable, fully asymptomatic state with full restoration of psychosocial function and to establish a long-term state of wellness. Despite effective pharmacotherapy, depressed patients are often underdiagnosed and undertreated by both psychiatrists and primary care physicians. The psychosocial and physical impairment, comorbidity, and high suicide rate associated with chronic, recurrent depression require optimal treatment strategies. The future of antidepressant treatment should focus on remission or getting the patient well and drugs that will induce and maintain long-term recovery.

  15. Induction of hematopoietic microchimerism by gene-modified BMT elicits antigen-specific B and T cell unresponsiveness toward gene therapy products

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    Jérémie Martinet

    2016-09-01

    Full Text Available Background: Gene therapy is a promising treatment option for hemophilia and other protein deficiencies. However, immune responses against the transgene product represent an obstacle to safe and effective gene therapy, urging for the implementation of tolerization strategies. Induction of a hematopoietic chimerism via bone marrow transplantation (BMT is a potent means for inducing immunological tolerance in solid organ transplantation. Objectives: We reasoned here that the same viral vector could be used firstly to transduce BM cells for inducing chimerism-associated transgene-specific immune tolerance and, secondly, for correcting protein deficiencies by vector-mediated systemic production of the deficient coagulation factor.Methods: Evaluation of strategies to induce B and T cell tolerance was performed using ex vivo gene transfer with lentiviral vectors encoding coagulation factor IX (FIX or the SIINFEKL epitope of ovalbumin. Following induction of microchimerism via BMT, animals were challenged with in vivo gene transfer with lentiviral vectors.Results: The experimental approach prevented humoral immune response against FIX, resulting in persistence of therapeutic levels of circulating FIX after lentiviral-mediated gene transfer in vivo. In an ovalbumin model, we also demonstrated that this approach effectively tolerized the CD8+ T cell compartment in an antigen-specific manner.Conclusions: These results provide the proof-of-concept that inducing a microchimerism by gene-modified BMT is a powerful tool to provide transgene-specific B and T cell tolerance in a gene therapy setting.

  16. ETIKA KERJA ISLAM DAN KEADILAN ORGANISASI: STUDI PADA BMT DI KABUPATEN KUDUS

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    Wahibur Rokhman

    2015-03-01

    Full Text Available WORK ETHICS OF ISLAM AND ORGANIZATIONAL JUSTICE: Study on a BMT in Kudus, This research aims to analyze the relationship of  work ethics of  Islam and organizational justice in BMT in Kudus. The organizational justice is measured using three dimensions of  justice developed by Cropanzano et al. (2007, they are: distribution justice, procedural fairness and interactional justice. Further, the study also tested the influence of  the three dimensions of justice against work ethics of  Islam felt by employees. The results of this research show that the level of  organizational justice and work ethics of Islam felt by employees working in the BMT in Holy is high enough. The results of the regression analysis also showed a significant positive influence on the distribution of Justice, procedural fairness and interactional justice against the work ethics of  Islam. Implications, limitations and suggestions for the next research are also discussed in this article. keywords: Distribution Justice, Procedural Justice, Work Ethics Of Islam. Penelitian ini bertujuan untuk menganalisis  hubungan etika kerja Islam dan keadilan organisasi di Baitul mal wat tamwil (BMT di Kabupaten Kudus. Keadilan Organisasi disini diukur menggunakan tiga dimensi keadilan yang dikembangkan oleh Cropanzano dkk. (2007 yaitu: keadilan distribusi, keadilan prosedural dan keadilan interaksional. Lebih lanjut, penelitian ini juga menguji pengaruh tiga dimensi keadilan terhadap etika kerja Islam yang dirasakan oleh karyawan. Hasil penelitian ini menunjukkan bahwa tingkat keadilan organisasi dan etika kerja Islam yang dirasakan oleh karyawan yang bekerja di BMT di Kudus cukup tinggi. Hasil analisis regresi juga menunjukkan adanya pengaruh yang positif signifikan keadilan distribusi, keadilan prosedural dan keadilan interaksional terhadap etika kerja Islam. Implikasi, keterbatasan dan saran untuk penelitian yang akan datang  juga dibahas dalam artikel ini. kata kunci: Keadilan

  17. Strategi Marketing Mix Baitul Mal wa Tamwil (BMT Unit Gabungan Terpadu (UGT Sidogiri Pasuruan

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    Cihwanul Kirom

    2016-11-01

    Full Text Available Within the business realm, marketing is a key factor which determines the success of distribution. Therefore, strategy and innovation are a necessity. Marketing activity would ensure whether a certain product is delivered to the costumers. In order to achieve the desired goals of marketing, it is important to manufacturers to follow a set of marketing processes, which comprise market overview, marketing strategy, marketing mix, and evaluation. Marketing mix is a set of strategies consist of product, price, promotion, and distribution, which guarantee the success of marketing activities. All of these aspects are intended to attain responses from the targeted market. The article seeks to discuss the marketing mix strategy implemented by BMT UGT Sidogiri Pasuruan based on four “Ps”, namely product, price, place, and promotion. The study finds that the marketing mix strategy employed by BMT UGT has met the costumers’ needs in terms of product strategy, pricing strategy, distribution strategy, and promotion strategy. The study also concludes that the proper implementation of marketing mix strategy and its compatibility with Islamic sharîʻah as well as the organization’s obedience towards Islamic business ethics are among pivotal factors that have significantly influenced the development of BMT UGT Sidogiri

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

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    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.

  19. 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.

  20. Benzimidazole derivative, BMT-1, induces apoptosis in multiple myeloma cells via a mitochondrial-mediated pathway involving H+/K+-ATPase inhibition.

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    Yang, Tai; Li, Min-Hui; Liu, Jin; Huang, Ning; Li, Ning; Liu, Si-Nian; Liu, Yang; Zhang, Tao; Zou, Qiang; Li, Hua

    2014-06-01

    2-(1H-benzimidazol-2-yl)-4,5,6,7-tetrahydro-2H-indazol-3-ol (BMT-1), a bicyclic compound, belongs to the benzimidazole group and consists of the fusion of benzene and imidazole. The objective of the present study was to assess the effect of BMT-1 on the proliferation of multiple myeloma (MM) cells and identify whether BMT-1 induces apoptosis in MM cells. Our results showed a dose- and time-dependent decrease in the proliferation of MM cells treated with BMT-1. Further studies revealed that the antiproliferative effects of BMT-1 were caused by induction of apoptosis with activation of caspase-3 and cleavage of poly(ADP-ribose) polymerase in MM cells. In addition, BMT-1 induced the loss of mitochondrial membrane potential resulting in the activation of caspase-8 and -9. Furthermore, the MM cells treated with BMT-1 showed a more acidic intracellular pH (pHi) as indicated by a lower FL1/FL2 ratio caused by inhibition of H+/K+-ATPase. Collectively, these findings demonstrated that a decrease in pHi, caused by H+/K+-ATPase inhibition induced by BMT-1, triggered the dysfunction of the mitochondria resulting in the apoptosis of MM cells. Therefore, BMT-1 may be used as a lead compound for the design and development of new agents with which to treat MM and other forms of cancer.

  1. Translation and validation of the Functional Assessment of Cancer Therapy-Bone Marrow Transplant (FACT-BMT) Version 4 quality of life instrument into traditional Chinese.

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    Lau, A K L; Chang, C H; Tai, J W M; Eremenco, S; Liang, R; Lie, A K W; Fong, D Y T; Lau, C M

    2002-01-01

    The need for a culturally sensitive instrument to assess quality of life (QOL) of patients in international oncology clinical trials has been well documented. This study was designed to evaluate the psychometric properties of the traditional Chinese translation (TCHI) of the Functional Assessment of Cancer Therapy-Bone Marrow Transplant (FACT-BMT) Version 4. The FACT-BMT consists of the FACT-General and treatment-specific concerns of bone marrow transplantation. The Chinese translation follows the standard Functional Assessment of Chronic Illness Therapy (FACIT) translation methodology. Bilingual teams from the United States and Hong Kong reviewed the translation to develop a provisional TCHI FACT-BMT, which was then pre-tested by interviewing 20 native Chinese-speaking BMT patients in Hong Kong. The pre-test results indicated good content coverage and overall comprehensibility. A refined translation, taking into account patient comments, was validated by 134 BMT patients in Hong Kong. The results indicated the high internal consistency of the TCHI FACT-BMT scales, with Cronbach's alpha coefficients ranging from 0.71 (emotional well-being) to 0.92 (FACT-BMT total). The FACT-BMT also demonstrated good construct validity when correlated with SF-36 Health Survey scales. The QOL of Chinese BMT patients can now be evaluated using a well-validated international QOL instrument in their own language.

  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. 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)

  4. Optimization of transonic wind tunnel data acquisition and control systems for providing continuous mode tests

    Science.gov (United States)

    Petronevich, V. V.

    2016-10-01

    The paper observes the issues related to the increase of efficiency and information content of experimental research in transonic wind tunnels (WT). In particular, questions of optimizing the WT Data Acquisition and Control Systems (DACS) to provide the continuous mode test method are discussed. The problem of Mach number (M number) stabilization in the test section of the large transonic compressor-type wind tunnels at subsonic flow conditions with continuous change of the aircraft model angle of attack is observed on the example of T-128 wind tunnel. To minimize the signals distortion in T-128 DACS measurement channels the optimal MGCplus filter settings of the data acquisition system used in T-128 wind tunnel to measure loads were experimentally determined. As a result of the tests performed a good agreement of the results of balance measurements for pitch/pause and continuous test modes was obtained. Carrying out balance tests for pitch/pause and continuous test methods was provided by the regular data acquisition and control system of T-128 wind tunnel with unified software package POTOK. The architecture and functional abilities of POTOK software package are observed.

  5. 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.

  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. Penerapan Prinsip Kehati-hatian dalam Pembiayaan dan Kredit di BRI Unit Mlarak dan BMT Hasanah Ponorogo

    Directory of Open Access Journals (Sweden)

    Agus Mujiono

    2016-05-01

    Abstrak: Bank Indonesia melalui PBI Nomor 6/10/PBI/2004 tanggal 12 April 2004 tentang sistem penilaian tingkat kesehatan lembaga keuangan, menetapkan  bahwa rasio kredit bermasalah (Non Performing Loan, NPL maupun Non Performing Finance, NPF adalah 5%. Dalam praktik pada BRI Unit Mlarak Kabupaten Ponorogo dengan rata-rata NPL hanya 1% sedangkan BMT Hasanah Kecamatan Mlarak rata-rata NPF 15%. Perbedaan angka NPL dan NPF diantarnya disebabkan oleh perbedaan penerapan prinsip kehati-hatian khususnya dalam pemberian pembiayaan/kredit. Penelitian ini mengkaji seputar penerapan prinsip kehati-hatian dalam proses pembiayaan dan kredit di kedua lembaga tersebut. Berdasarkan penelitian, temuan peneliti, Pertama, implementasi prinsip kehati-hatian di BRI Unit Mlarak melalui mekanisme PPKBM atau Pedoman Pelaksanaan Kredit Bisnis Mikro. Sementara pada BMT Hasanah belum melaksanakan prinsip kehati-hatian dengan benar karena belum adanya SOP pembiayaan. Kedua, Implikasi prinsip kehati-hatian di BRI Mlarak memberikan dampak positif secara bisnis dan reputasi. Sedangkan di BMT Hasanah berdampak negatif dengan NPF tinggi, karena kualitas SDM dan dukungan IT yang belum memadai sehingga perlu penerapan good corporate governance.

  8. 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

  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. Crumb rubber used in concrete to provide freeze-thaw protection (OPTIMAL particle size)

    OpenAIRE

    Richardson, Alan; Coventry, Kathryn; Edmondson, Vikki; Dias, Eli

    2016-01-01

    This research has examined the optimum particle size of crumb rubber, used as an additive to concrete that would provide maximum freeze-thaw protection whilst minimising the compressive strength loss. The crumb rubber as used in the paper was divided into five batches, with increasing particle size, graded in increments of 0.5mm, from

  12. 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

  13. Application of a Multi-Objective Optimization Method to Provide Least Cost Alternatives for NPS Pollution Control

    Science.gov (United States)

    Maringanti, Chetan; Chaubey, Indrajeet; Arabi, Mazdak; Engel, Bernard

    2011-09-01

    Nonpoint source (NPS) pollutants such as phosphorus, nitrogen, sediment, and pesticides are the foremost sources of water contamination in many of the water bodies in the Midwestern agricultural watersheds. This problem is expected to increase in the future with the increasing demand to provide corn as grain or stover for biofuel production. Best management practices (BMPs) have been proven to effectively reduce the NPS pollutant loads from agricultural areas. However, in a watershed with multiple farms and multiple BMPs feasible for implementation, it becomes a daunting task to choose a right combination of BMPs that provide maximum pollution reduction for least implementation costs. Multi-objective algorithms capable of searching from a large number of solutions are required to meet the given watershed management objectives. Genetic algorithms have been the most popular optimization algorithms for the BMP selection and placement. However, previous BMP optimization models did not study pesticide which is very commonly used in corn areas. Also, with corn stover being projected as a viable alternative for biofuel production there might be unintended consequences of the reduced residue in the corn fields on water quality. Therefore, there is a need to study the impact of different levels of residue management in combination with other BMPs at a watershed scale. In this research the following BMPs were selected for placement in the watershed: (a) residue management, (b) filter strips, (c) parallel terraces, (d) contour farming, and (e) tillage. We present a novel method of combing different NPS pollutants into a single objective function, which, along with the net costs, were used as the two objective functions during optimization. In this study we used BMP tool, a database that contains the pollution reduction and cost information of different BMPs under consideration which provides pollutant loads during optimization. The BMP optimization was performed using a NSGA

  14. 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

  15. 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.

  16. 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.

  17. 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.

  18. Designing area optimized application-specific network-on-chip architectures while providing hard QoS guarantees.

    Directory of Open Access Journals (Sweden)

    Sajid Gul Khawaja

    Full Text Available With the increase of transistors' density, popularity of System on Chip (SoC has increased exponentially. As a communication module for SoC, Network on Chip (NoC framework has been adapted as its backbone. In this paper, we propose a methodology for designing area-optimized application specific NoC while providing hard Quality of Service (QoS guarantees for real time flows. The novelty of the proposed system lies in derivation of a Mixed Integer Linear Programming model which is then used to generate a resource optimal Network on Chip (NoC topology and architecture while considering traffic and QoS requirements. We also present the micro-architectural design features used for enabling traffic and latency guarantees and discuss how the solution adapts for dynamic variations in the application traffic. The paper highlights the effectiveness of proposed method by generating resource efficient NoC solutions for both industrial and benchmark applications. The area-optimized results are generated in few seconds by proposed technique, without resorting to heuristics, even for an application with 48 traffic flows.

  19. Optimism

    Science.gov (United States)

    Carver, Charles S.; Scheier, Michael F.; Segerstrom, Suzanne C.

    2010-01-01

    Optimism is an individual difference variable that reflects the extent to which people hold generalized favorable expectancies for their future. Higher levels of optimism have been related prospectively to better subjective well-being in times of adversity or difficulty (i.e., controlling for previous well-being). Consistent with such findings, optimism has been linked to higher levels of engagement coping and lower levels of avoidance, or disengagement, coping. There is evidence that optimism is associated with taking proactive steps to protect one's health, whereas pessimism is associated with health-damaging behaviors. Consistent with such findings, optimism is also related to indicators of better physical health. The energetic, task-focused approach that optimists take to goals also relates to benefits in the socioeconomic world. Some evidence suggests that optimism relates to more persistence in educational efforts and to higher later income. Optimists also appear to fare better than pessimists in relationships. Although there are instances in which optimism fails to convey an advantage, and instances in which it may convey a disadvantage, those instances are relatively rare. In sum, the behavioral patterns of optimists appear to provide models of living for others to learn from. PMID:20170998

  20. 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.

  1. Catastrophic relapse of Evans syndrome five years after allogeneic BMT notwithstanding full donor chimerism. Terminal hemolytic-uremic syndrome.

    Science.gov (United States)

    Marmont, A M; Gualandi, F; Occhini, D; Morandi, F; Ferretti, E; Pezzolo, A; Strada, P; Ravetti, J L; Pistoia, V; Falanga, A; Bacigalupo, A

    2006-09-01

    A patient with severe Evans syndrome received an allo-BMT from his HLA-identical sister on November, 2000. Full marrow and blood donor chimerism were achieved only after 5 donor lymphocyte infusions (DLI), and coincided with complete clinical remission and disappearence of auto-antibodies. Five years later, hemolytic anemia recurred with rapid increase of serum bilirubin to over 50 mg%: he responded to combined therapy, but died on day +17 from admission of an acute hemolytic uremic syndrome (HUS). All circulating blood cells, including erythrocytes, were 100% donor. Ex vivo cultured and expanded T and B cells from the peripheral blood were also 100% donor. The supernatants from B cell cultures, containing either IgM or IgG, did not react with a panel of erythrocytes. Thus in this typical autoimmune disease with a predominant B cell pathogenesis the donor immune system resulted "innocent of autoimmunity". The persistence of long-lived recipient autoreactive plasma-cell lines in survival niches, still producing autoantibodies, may be hypothesized for this and similar cases. The postulated graft-versus-autoimmunity (GVA) effect was apparently not sufficient to eradicate autoimmunity in this patient.

  2. Helping the decision maker effectively promote various experts’ views into various optimal solutions to China’s institutional problem of health care provider selection through the organization of a pilot health care provider research system

    OpenAIRE

    Tang, Liyang

    2013-01-01

    Background The main aim of China’s Health Care System Reform was to help the decision maker find the optimal solution to China’s institutional problem of health care provider selection. A pilot health care provider research system was recently organized in China’s health care system, and it could efficiently collect the data for determining the optimal solution to China’s institutional problem of health care provider selection from various experts, then the purpose of this study was to apply ...

  3. 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.

  4. 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

    The smart grid concept is a key issue in the future power systems, namely at the distribution level, with deep concerns in the operation and planning of these systems. Several advantages and benefits for both technical and economic operation of the power system and of the electricity markets...... are recognized. The increasing integration of demand response and distributed generation resources, all of them mostly with small scale distributed characteristics, leads to the need of aggregating entities such as Virtual Power Players. The operation business models become more complex in the context of smart...... 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...

  5. 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

  6. Are we adequately providing support services for optimal infant nutrition in Australia? A study in regional NSW.

    Science.gov (United States)

    Hegedus, Jessica; Mullan, Judy

    2015-01-01

    Evidence from the literature suggests that parents of infants in Australia may not be receiving appropriate professional assistance to support best practice in infant feeding. This study aimed to investigate whether services for infant nutrition (including breastfeeding, infant formula feeding and support for at-risk infants) complied with current recommendations. Relevant services in a regional area of NSW completed a questionnaire to characterise the assistance they provided for parents of infants in the first 6 months of life. Services for breastfeeding, unlike services for use of infant formula, were consistent with recommendations in the literature. Services were significantly more likely to provide education (χ2 (1, n = 44) = 5.939, P < 0.025) and various forms of professional support (χ2 (1, n = 44) = 20.29, P < 0.0001) for breastfeeding compared with infant formula. At-risk infants were mostly identified through growth monitoring, and extra support services were mostly provided on site. Parents of at-risk infants were encouraged to attend services; strategies included involving family in consultations, offering multiple services on site, free services and home visits. Other important measures recommended in the literature, such as providing continuous care from the antenatal period and transport, were provided infrequently.

  7. 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

  8. Camera and trocar placement for robot-assisted radical and partial nephrectomy: which configuration provides optimal visualization and instrument mobility?

    Science.gov (United States)

    Cabello, Jose M; Bhayani, Sam B; Figenshau, Robert S; Benway, Brian M

    2009-10-01

    Proper camera and trocar placement is critical to the success of minimally invasive procedures. For robot-assisted renal surgery, two basic trocar configurations have been described. The medial approach, using a 30° downward-angled lens mimics a traditional transperitoneal laparoscopic configuration. An alternative configuration, using a 0° or 30° upward-angled lens approach locates the camera laterally, evoking a position sense similar to a retroperitoneal approach. Our objective is to compare the differences between these two standard approaches for robot-assisted renal surgery. After performing a review and analysis of available literature, our group tested both the medial and lateral camera approaches during robotic renal surgery performed in human patients. The medial approach provides a wide field of view, because of the relatively greater distance to the target structures and a horizon line closer to the patient's midline. The lateral configuration offers significantly different visualization. The relative proximity to the target structures and a higher horizon line results in a comparatively restricted field of vision. Instrument mobility is comparable between the two approaches. Meta-analysis of the literature reveals that both approaches provide comparable overall operative times for both radical and partial nephrectomy, though there is a trend towards shorter overall operative times for partial nephrectomy performed through a medial approach. The medial trocar configuration provides a familiar working environment for both surgeon and assistant; the wide-angle view enables enhanced visualization of surrounding structures and tracking of the instruments inserted by the assistant. The lateral approach offers the potential advantage of a closer view of the kidney, but does so at the expense of a significantly restricted field of view. In our experience, a medial trocar configuration offers significant advantages over the lateral trocar configuration, and

  9. 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.

  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. 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.

  12. Treating depression in terminally ill patients can optimize their physical comfort at the end of life and provide them the opportunity to confront and prepare for death.

    Science.gov (United States)

    Braun, Ursula K; Kunik, Mark E; Pham, Catherine

    2008-06-01

    The dying process is characterized by feelings of sadness and fear. It is normal for patients at the end of life to worry and grieve the loss of their health. However, when these feelings become excessive and interfere with all aspects of the patient's life, they are abnormal responses to the stress of terminal illness. Screening for depression in terminally ill patients can optimize their physical comfort at the end of life and provide them the opportunity to confront and prepare for death.

  13. 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

  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. The copper intrauterine device for emergency contraception: an opportunity to provide the optimal emergency contraception method and transition to highly effective contraception.

    Science.gov (United States)

    Dermish, Amna I; Turok, David K

    2013-07-01

    Worldwide, 40% of all pregnancies are unintended. Widespread, over-the-counter availability of oral emergency contraception (EC) has not reduced unintended pregnancy rates. The EC visit presents an opportunity to initiate a highly effective method of contraception in a population at high risk of unintended pregnancy who are actively seeking to avoid pregnancy. The copper intrauterine device (IUD), the most effective method of EC, continues to provide contraception as effective as sterilization for up to 12 years, and it should be offered as the first-line method of EC wherever possible. Increased demand for and supply of the copper IUD for EC may have an important role in reducing rates of unintended pregnancy. The EC visit should include access to the copper IUD as optimal care but should ideally include access to all highly effective methods of contraception.

  17. Data on Vietnamese patients׳ behavior in using information sources, perceived data sufficiency and (non)optimal choice of health care provider.

    Science.gov (United States)

    Vuong, Quan Hoang

    2016-06-01

    This data article introduces a data set containing 1459 observations that can enable researchers to examine issues related to and perform statistical investigations into questions of relationships between sources of health care information, data sufficiency, trust levels between patients and healthcare experts (and the advice). The data set also records assessment of Vietnamese patients on whether their choice of health care provider is best available (optimal vs. nonoptimal). The data come from a survey in many hospitals in Hanoi and several neighboring provinces/cities in the North of Vietnam, during the last quarter of 2015. Variables that can be useful for future analysis include sources and availability of information, cost, and amount of time for seeking information. The quality of information and health professionals' credibility are critical factors in helping patients choose a health care provider. Mendeley Data, v1 http://dx.doi.org/10.17632/gmbz53tpwc.1; and can enable the modeling after useful discrete data models such as BCL, with one example being provided in this data article.

  18. 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

  19. Optimization of agroinfiltration in Pisum sativum provides a new tool for studying the salivary protein functions in the pea aphid complex

    Directory of Open Access Journals (Sweden)

    Endrick Guy

    2016-08-01

    Full Text Available 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 three to ten 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

  20. Medicare Provider Data - Hospice Providers

    Data.gov (United States)

    U.S. Department of Health & Human Services — The Hospice Utilization and Payment Public Use File provides information on services provided to Medicare beneficiaries by hospice providers. The Hospice PUF...

  1. 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...

  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. 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

  4. 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.

  5. 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.

  6. 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.

  7. Optimally Stopped Optimization

    Science.gov (United States)

    Vinci, Walter; Lidar, Daniel A.

    2016-11-01

    We combine the fields of heuristic optimization and optimal stopping. We propose a strategy for benchmarking randomized optimization algorithms that minimizes the expected total cost for obtaining a good solution with an optimal number of calls to the solver. To do so, rather than letting the objective function alone define a cost to be minimized, we introduce a further cost-per-call of the algorithm. We show that this problem can be formulated using optimal stopping theory. The expected cost is a flexible figure of merit for benchmarking probabilistic solvers that can be computed when the optimal solution is not known and that avoids the biases and arbitrariness that affect other measures. The optimal stopping formulation of benchmarking directly leads to a real-time optimal-utilization strategy for probabilistic optimizers with practical impact. We apply our formulation to benchmark simulated annealing on a class of maximum-2-satisfiability (MAX2SAT) problems. We also compare the performance of a D-Wave 2X quantum annealer to the Hamze-Freitas-Selby (HFS) solver, a specialized classical heuristic algorithm designed for low-tree-width graphs. On a set of frustrated-loop instances with planted solutions defined on up to N =1098 variables, the D-Wave device is 2 orders of magnitude faster than the HFS solver, and, modulo known caveats related to suboptimal annealing times, exhibits identical scaling with problem size.

  8. 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...

  9. Comparison of Curative Efficacy after G-CSF-mobilized Sibling HLA-matched Peripheral Blood Hematopoietic Stem Cell Transplantation Versus that Combined with BMT for Patients with Hematologic Malignancies in a Single Center%同胞HLA相合供体外周血造血干细胞移植与其联合骨髓移植治疗恶性血液病疗效的单中心比较分析

    Institute of Scientific and Technical Information of China (English)

    任富鹏; 刘会兰; 孙自敏; 耿良权; 王兴兵; 丁凯阳

    2011-01-01

    本研究回顾性分析并比较了粒细胞集落刺激因子(G-CSF)动员的同胞HLA相合(sibling matched,sm)异基因外周血造血干细胞移植(sm-allo-PBHSCT)及sm-allo-PBHSCT联合骨髓移植(BMT)治疗恶性血液病的临床疗效.本中心自2001年10月至2010年10月有100例恶性血液病患者接收移植,其中sm-allo-PBHSCT组38例,sm-allo-PBHSCT+BMT组62例,根据病人情况选择清髓性及减低强度的预处理方案.所有患者均采用环孢素A(CsA)联合霉酚酸酯(MMF)方案预防移植物抗宿主病(GVHD).结果表明,两组造血重建快,中性粒细胞绝对值(ANC)≥0.5×109/L的中位时间均为12天,血小板数≥20×109/L的中位时间分别为15天(sm-allo-PBH-SCT)和16天(sm-allo-PBHSCT+BMT).两组急性GVHD、Ⅲ-Ⅳ度急性GVHD、慢性GVHD发生率分别为37.1%和34.2%、7.89%和8.06%、36.11%和41.38%,差异无统计学意义.两组复发率分别为13.16%和12.90%,3年的无病生存率分别为57.1%和61.3%.高危患者2年总生存率(OS)分别为(41.4±12.8)%和(60.9±9.6)%(p=0.017).结论:G-CSF动员的sm-allo-PBHSCT+BMT与sm-allo-PBHSCT治疗恶性血液病一样安全有效,对于高危患者可能更有利.%This study was aimed to retrospectively analyze and compare the clinical curative efficacy of patients with hematologic malignancies after G-CSF-mobilized sibling HLA-matched (sm) peripheral blood hematopoietic stem cell transplantation (sm-allo-PBHSCT) and sm-allo-PBHSCT combined with bone marrow transplantation (BMT). 100 patients received sm-allo-HSCT in a single center from October 2001 to October to 2010, included 38 patients received sm-allo-PBHSCT and 62 patients received sm-allo-PBHSCT combined with BMT. The myeloablative or reduced intensity conditioning regimens were chosen according to the condition of patients. All patients received standard cyclosporine (CsA) and mycophenolate mofetil (MMF) as prophylaxis for GVHD. The results showed that the rapid hematopoietic reconstitution was

  10. 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.

  11. Dependent rational providers.

    Science.gov (United States)

    Brothers, Kyle B

    2011-04-01

    Provider claims to conscientious objection have generated a great deal of heated debate in recent years. However, the conflicts that arise when providers make claims to the "conscience" are only a subset of the more fundamental challenges that arise in health care practice when patients and providers come into conflict. In this piece, the author provides an account of patient-provider conflict from within the moral tradition of St. Thomas Aquinas. He argues that the practice of health care providers should be understood as a form of practical reasoning and that this practical reasoning must necessarily incorporate both "moral" and "professional" commitments. In order to understand how the practical reasoning of provider should account for the needs and commitments of the patient and vice versa, he explores the account of dependence provided by Alasdair MacIntyre in his book Dependent Rational Animals. MacIntyre argues that St. Thomas' account of practical reasoning should be extended and adapted to account for the embodied vulnerability of all humans. In light of this insight, providers must view patients not only as the subjects of their moral reflection but also as fellow humans upon whom the provider depends for feedback on the effectiveness and relevance of her practical reasoning. The author argues that this account precludes responsive providers from adopting either moral or professional conclusions on the appropriateness of interventions outside the individual circumstances that arise in particular situations. The adoption of this orientation toward patients will neither eradicate provider-patient conflict nor compel providers to perform interventions to which they object. But this account does require that providers attend meaningfully to the suffering of patients and seek feedback on whether their intervention has effectively addressed that suffering.

  12. 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

  13. 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

  14. Provider Services Network Project. Draft Final Report.

    Science.gov (United States)

    Urban and Rural Systems Associates, San Francisco, CA.

    This draft report on the development and testing of a child care Provider Services Network (PSN) model in Santa Clara County, California, includes a handbook (Manual to Optimize a PSN) designed to provide the State Department of Education and regional or local child care coordinating agencies with information needed to develop PSN optimization…

  15. 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...

  16. 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.)

  17. Internet Medline providers.

    Science.gov (United States)

    Vine, D L; Coady, T R

    1998-01-01

    Each database in this review has features that will appeal to some users. Each provides a credible interface to information available within the Medline database. The major differences are pricing and interface design. In this context, features that cost more and might seem trivial to the occasional searcher may actually save time and money when used by the professional. Internet Grateful Med is free, but Ms. Coady and I agree the availability of only three ANDable search fields is a major functional limitation. PubMed is also free but much more powerful. The command line interface that permits very sophisticated searches requires a commitment that casual users will find intimidating. Ms. Coady did not believe the feedback currently provided during a search was sufficient for sustained professional use. Paper Chase and Knowledge Finder are mature, modestly priced Medline search services. Paper Chase provides a menu-driven interface that is very easy to use, yet permits the user to search virtually all of Medline's data fields. Knowledge Finder emphasizes the use of natural language queries but fully supports more traditional search strategies. The impact of the tradeoff between fuzzy and Boolean strategies offered by Knowledge Finder is unclear and beyond the scope of this review. Additional software must be downloaded to use all of Knowledge Finders' features. Other providers required no software beyond the basic Internet browser, and this requirement prevented Ms. Coady from evaluating Knowledge Finder. Ovid and Silver Platter offer well-designed interfaces that simplify the construction of complex queries. These are clearly services designed for professional users. While pricing eliminates these for casual use, it should be emphasized that Medline citation access is only a portion of the service provided by these high-end vendors. Finally, we should comment that each of the vendors and government-sponsored services provided prompt and useful feedback to e

  18. Building Service Provider Capabilities

    DEFF Research Database (Denmark)

    Brandl, Kristin; Jaura, Manya; Ørberg Jensen, Peter D.

    In this paper we study whether and how the interaction between clients and the service providers contributes to the development of capabilities in service provider firms. In situations where such a contribution occurs, we analyze how different types of activities in the production process...... of the services, such as sequential or reciprocal task activities, influence the development of different types of capabilities. We study five cases of offshore-outsourced knowledge-intensive business services that are distinguished according to their reciprocal or sequential task activities in their production...... process. We find that clients influence the development of human capital capabilities and management capabilities in reciprocally produced services. While in sequential produced services clients influence the development of organizational capital capabilities and management capital capabilities....

  19. 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

  20. 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.

  1. 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.

  2. 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.

  3. MULTIDISCIPLINARY ROBUST OPTIMIZATION DESIGN

    Institute of Scientific and Technical Information of China (English)

    Chen Jianjiang; Xiao Renbin; Zhong Yifang; Dou Gang

    2005-01-01

    Because uncertainty factors inevitably exist under multidisciplinary design environment, a hierarchical multidisciplinary robust optimization design based on response surface is proposed. The method constructs optimization model of subsystem level and system level to coordinate the coupling among subsystems, and also the response surface based on the artificial neural network is introduced to provide information for system level optimization tool to maintain the independence of subsystems,i.e. to realize multidisciplinary parallel design. The application case of electrical packaging demonstrates that reasonable robust optimum solution can be yielded and it is a potential and efficient multidisciplinary robust optimization approach.

  4. 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

  5. Sequential stochastic optimization

    CERN Document Server

    Cairoli, Renzo

    1996-01-01

    Sequential Stochastic Optimization provides mathematicians and applied researchers with a well-developed framework in which stochastic optimization problems can be formulated and solved. Offering much material that is either new or has never before appeared in book form, it lucidly presents a unified theory of optimal stopping and optimal sequential control of stochastic processes. This book has been carefully organized so that little prior knowledge of the subject is assumed; its only prerequisites are a standard graduate course in probability theory and some familiarity with discrete-paramet

  6. Integer and combinatorial optimization

    CERN Document Server

    Nemhauser, George L

    1999-01-01

    Rave reviews for INTEGER AND COMBINATORIAL OPTIMIZATION ""This book provides an excellent introduction and survey of traditional fields of combinatorial optimization . . . It is indeed one of the best and most complete texts on combinatorial optimization . . . available. [And] with more than 700 entries, [it] has quite an exhaustive reference list.""-Optima ""A unifying approach to optimization problems is to formulate them like linear programming problems, while restricting some or all of the variables to the integers. This book is an encyclopedic resource for such f

  7. 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.

  8. Stochastic optimization

    CERN Document Server

    Schneider, Johannes J

    2007-01-01

    This book addresses stochastic optimization procedures in a broad manner. The first part offers an overview of relevant optimization philosophies; the second deals with benchmark problems in depth, by applying a selection of optimization procedures. Written primarily with scientists and students from the physical and engineering sciences in mind, this book addresses a larger community of all who wish to learn about stochastic optimization techniques and how to use them.

  9. 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.

  10. 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.

  11. 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.

  12. 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

  13. 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

  14. 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

  15. Optimal semelparity.

    Directory of Open Access Journals (Sweden)

    James W Vaupel

    Full Text Available Semelparous organisms have a simple life cycle characterized by immediate death after reproduction. We assume that semelparous life histories can be separated into a juvenile non-reproductive period followed by an adult period during which reproduction is possible. We derive formulae for the optimal age and size at reproduction and for the optimal size of the offspring (e.g., seeds. Our main contribution is to determine the conditions under which the optimal size of the offspring does not depend on the optimal size at reproduction and vice versa.

  16. Solving Optimization Problems via Vortex Optimization Algorithm and Cognitive Development Optimization Algorithm

    Directory of Open Access Journals (Sweden)

    Ahmet Demir

    2017-01-01

    Full Text Available In the fields which require finding the most appropriate value, optimization became a vital approach to employ effective solutions. With the use of optimization techniques, many different fields in the modern life have found solutions to their real-world based problems. In this context, classical optimization techniques have had an important popularity. But after a while, more advanced optimization problems required the use of more effective techniques. At this point, Computer Science took an important role on providing software related techniques to improve the associated literature. Today, intelligent optimization techniques based on Artificial Intelligence are widely used for optimization problems. The objective of this paper is to provide a comparative study on the employment of classical optimization solutions and Artificial Intelligence solutions for enabling readers to have idea about the potential of intelligent optimization techniques. At this point, two recently developed intelligent optimization algorithms, Vortex Optimization Algorithm (VOA and Cognitive Development Optimization Algorithm (CoDOA, have been used to solve some multidisciplinary optimization problems provided in the source book Thomas' Calculus 11th Edition and the obtained results have compared with classical optimization solutions. 

  17. 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.

  18. 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...

  19. 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.

  20. Exposure of Early Pediatric Trainees to Blood and Marrow Transplantation Leads to Higher Recruitment to the Field

    Science.gov (United States)

    Shereck, Evan; Shenoy, Shalini; Pulsipher, Michael; Burns, Linda; Bracey, Arthur; Chell, Jeffrey; Snyder, Edward; Nemecek, Eneida

    2013-01-01

    The National Marrow Donor Program (NMDP) projects the need for allogeneic unrelated blood and marrow transplants (BMT) in the United States is 10,000 per year. While the NMDP is preparing to facilitate that number by 2015, there are a number of barriers to meeting this need including recruiting additional health care personnel including BMT providers. To learn how best to recruit BMT physicians, we sought to understand why practicing BMT physicians chose to enter BMT, and why others did not. We conducted a web-based survey amongst Pediatric Hematology/Oncology (PHO) and BMT physician providers and trainees to determine the factors influencing their decision to choose or not choose a career in BMT. There were 259 respondents (48% male, 74% of Caucasian origin); 94 identified as BMT physicians, 112 as PHO physicians and 53 as PHO trainees. PHO and BMT providers spent an average of 53% of their time in clinical activities. More than 2/3 of PHO providers stated that they provide BMT services at their institutions, most commonly for inpatient coverage (73%). The proportion of providers exposed to BMT early in their training was significantly higher amongst BMT providers than PHO providers (51% vs. 18% during medical school [p<0.0001] and 70% vs. 50% during residency [p < 0.005]). Exposure during fellowship (94%) did not differ amongst groups. The decision to pursue a career in BMT was made before fellowship (medical school or residency) in 50% of the respondents. A lower proportion of BMT providers reported currently being involved in education of medical students and residents compared to PHO providers (98% vs. 76%, p<0.0001). Of 53 trainees, 64% reported that they were not contemplating a career in BMT. Of these, 68% stated that inadequate exposure to BMT prior to PHO fellowship was the reason. Only 26% reported BMT exposure in medical school and 43% during residency. The two most common reasons for the choice of a BMT career were the degree of intellectual and

  1. 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...

  2. Topology Optimization

    DEFF Research Database (Denmark)

    A. Kristensen, Anders Schmidt; Damkilde, Lars

    2007-01-01

    . A way to solve the initial design problem namely finding a form can be solved by so-called topology optimization. The idea is to define a design region and an amount of material. The loads and supports are also fidefined, and the algorithm finds the optimal material distribution. The objective function...... dictates the form, and the designer can choose e.g. maximum stiness, maximum allowable stresses or maximum lowest eigenfrequency. The result of the topology optimization is a relatively coarse map of material layout. This design can be transferred to a CAD system and given the necessary geometrically...... refinements, and then remeshed and reanalysed in other to secure that the design requirements are met correctly. The output of standard topology optimization has seldom well-defined, sharp contours leaving the designer with a tedious interpretation, which often results in less optimal structures. In the paper...

  3. 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...

  4. Optimized Local Trigonometric Bases with Nonuniform Partitions

    Institute of Scientific and Technical Information of China (English)

    Qiao Fang LIAN; Yong Ge WANG; Dun Yan YAN

    2006-01-01

    The authors provide optimized local trigonometric bases with nonuniform partitions which efficiently compress trigonometric functions. Numerical examples demonstrate that in many cases the proposed bases provide better compression than the optimized bases with uniform partitions obtained by Matviyenko.

  5. 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...

  6. 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。

  7. Analysis and optimization of protection provided by vehicle anti-shock seat safety belt systems under vertical intensive shock loads%垂向强冲击载荷下车辆缓冲座椅的安全带系统防护性能分析及优化

    Institute of Scientific and Technical Information of China (English)

    董彦鹏; 吕振华

    2012-01-01

    针对特种车辆受到垂向强冲击时缓冲座椅的安全带系统防护性能进行研究,建立了地板-座椅-乘员系统的有限元模型,对驾驶室地板结构施加冲击位移输入,应用数值仿真方法比较分析了缓冲座椅分别匹配两点式、三点式、四点式和六点式安全带时对乘员的约束效能。在垂向强冲击载荷下,具有六点式安全带的缓冲座椅可有效地减小腰椎轴向压力峰值,同时降低乘员与车身结构发生冲击碰撞的可能性。进一步对六点式安全带的预紧特性和限力特性参数进行了多设计方案分析和优化,具有匹配优化后的预紧特性和限力特性的六点式安全带可使乘员的腰椎轴向压力峰值比优化前降低10.7%,比三点式安全带显著地提高了缓冲座椅抗垂向强冲击的安全性。%A finite element model of a cab floor-seat occupant sub system was developed for special purpose vehicles to study the vertical shock protection provided by anti-shock seat systems with safety belts. The model inputs are a set of shock displacement-time histories experienced by the vehicle cab floor. Numerical simulations are used in a comparative study of the protection provided by safety belts anchored at two, three, four and six points during vertical intensive shock loads. The safety belts with six anchor points reduce the axial compression force on the lumbar spine and effectively prevent secondary impact between the lower limbs and the vehicle structures. The influences of the pretension and the forceqimit characteristics of the safety belts with six anchor points on occupant injuries are analyzed to optimize the pretension and force-limit parameters. The results show that the optimal safety belts with six anchor points reduce the peak axial compression force on the lumbar spine by 10. 7% compared with the initial design. The vertical shock protection provided by the anti shock seat system is effectively improved compared to

  8. A characterization of optimal entanglement witnesses

    CERN Document Server

    Qi, Xiaofei

    2011-01-01

    In this paper, we present a characterization of optimal entanglement witnesses in terms of positive maps and then provide a general method of checking optimality of entanglement witnesses. Applying it, we obtain new indecomposable optimal witnesses which have no spanning property. These also provide new examples which support a recent conjecture saying that the so-called structural physical approximations to optimal positive maps (optimal entanglement witnesses) give entanglement breaking maps (separable states).

  9. Breve reflexão sobre autocuidado no planejamento de alta hospitalar pós-Transplante de medula óssea (TMO: relato de caso Breve reflexión sobre lo autocuidado en planeamiento de la alta después del Transplante de Médula Ósea: informe de caso A brief reflection on self-care in hospital discharge planning after a Bone Marrow Transplantation (BMT: a case report

    Directory of Open Access Journals (Sweden)

    Lúcia Marta Giunta da Silva

    2001-01-01

    Full Text Available Este estudo teve por objetivo construir um instrumento que caracterizasse as demandas de autocuidado terapêutico de um indivíduo submetido ao TMO, refletindo sobre as intervenções de enfermagem no planejamento de alta hospitalar na óptica da teoria de autocuidado de Orem. Pelos critérios de inclusão obteve-se um indivíduo pós-TMO alogênico, portador de Leucemia Mielóide Crônica. A análise dos dados possibilitou avaliar os requisitos de autocuidado alterados e as intervenções de enfermagem se inseriram no sistema apoio-educação e no sistema parcialmente compensatório. O instrumento deverá ser refinado, mas pode-se sugerir sua utilização como suporte para a elaboração do planejamento de alta para pacientes de TMO.Este estudio tuvo por objetivo construir un instrumento para caracterizar las demandas del autocuidado terapéutico de un individuo sometido al transplante de médula ósea, reflexionando acerca de las intervenciones de la enfermería en la planeación de la alta hospitalaria, desde la óptica de la teoría del autocuidado de Oren. Por los criterios de inclusión se obtuvo una persona sometida al transplante del médula ósea alogénico, Portador de Leucemia Mieloide Crónica. El análisis de los datos permitió la evaluación de los requisitos de autocuidado alterados y las intervenciones de enfermería se situaron en el sistema apoyo-educación y en el sistema parcialmente compensatorio. El instrumento deberá refinarse, pero se puede sugerir su utilización como apoyo para la elaboración de la planeación del alta hospitalaria, para los pacientes del transplante de médula ósea.The purpose of this work was to construct an instrument that would enable the characterization of therapeutic self-care needs of an individual submitted to bone marrow transplantation (BMT by reflecting on nursing interventions in the planning of hospital discharge based on Orem's self-care theory. The inclusion criteria consisted in the

  10. Practical methods of optimization

    CERN Document Server

    Fletcher, R

    2013-01-01

    Fully describes optimization methods that are currently most valuable in solving real-life problems. Since optimization has applications in almost every branch of science and technology, the text emphasizes their practical aspects in conjunction with the heuristics useful in making them perform more reliably and efficiently. To this end, it presents comparative numerical studies to give readers a feel for possibile applications and to illustrate the problems in assessing evidence. Also provides theoretical background which provides insights into how methods are derived. This edition offers rev

  11. 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.

  12. Optimality criteria: A basis for multidisciplinary design optimization

    Science.gov (United States)

    Venkayya, V. B.

    1989-01-01

    This paper presents a generalization of what is frequently referred to in the literature as the optimality criteria approach in structural optimization. This generalization includes a unified presentation of the optimality conditions, the Lagrangian multipliers, and the resizing and scaling algorithms in terms of the sensitivity derivatives of the constraint and objective functions. The by-product of this generalization is the derivation of a set of simple nondimensional parameters which provides significant insight into the behavior of the structure as well as the optimization algorithm. A number of important issues, such as, active and passive variables, constraints and three types of linking are discussed in the context of the present derivation of the optimality criteria approach. The formulation as presented in this paper brings multidisciplinary optimization within the purview of this extremely efficient optimality criteria approach.

  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. Long-term follow-up of home-based behavioral management training provided by migraine patients

    NARCIS (Netherlands)

    Voerman, J.S.; de Klerk, C.; Mérelle, S.Y.M.; Aartsen, E.; Timman, R.; Sorbi, M.J.; Passchier, J.

    2014-01-01

    Background Behavioral migraine approaches are effective in reducing headache attacks. Availability of treatment might be increased by using migraine patients as trainers. Therefore, Mérelle and colleagues developed and evaluated a home-based behavioral management training (BMT) by lay trainers (1).

  15. Fundamentals and Optimal Institutions

    DEFF Research Database (Denmark)

    Gonzalez-Eiras, Martin; Harmon, Nikolaj Arpe; Rossi, Martín

    2016-01-01

    of regulatory institutions such as revenue sharing, salary caps or luxury taxes. We show, theoretically and empirically, that these large differences in adopted institutions can be rationalized as optimal responses to differences in the fundamental characteristics of the sports being played. This provides...

  16. 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...... treatment. Relevant strategies for reducing side-effects and increasing the likelihood of response are discussed....

  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. 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.

  19. 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...

  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. HMO partnering: the provider dilemma.

    Science.gov (United States)

    Ayers, J; Benson, L; Bonhag, R

    1996-10-01

    While the growth of HMOs has slowed patient visits to doctors, it also has created a deluge of press clippings. On July 16, 1996, three articles on the subject appeared in the Wall Street Journal, front section. The headlines painted a vivid picture of the forces acting on HMOs and providers alike (Figure 1). The articles portended more change for healthcare. The "shake-out," a term applied to industries in serious transformation, brings shedding of excess capacity and loss of jobs and income. Providers, in particular, find themselves in a difficult dilemma. They must not only cut costs as reimbursement drops, but also retain patients with good outcomes and high quality service. Patient retention means keeping the individual patient from switching to another provider and keeping the insurer's group of patients as an authorized provider for that insurer. The relationship between provider and HMO lies at the heart of the provider dilemma. The HMO structure, which shifts financial risk for care, is quickly setting the standard, for healthcare pricing, medical standards, and management practices. Understanding and responding to HMO needs are vital to competitive advantage and survival. The article discusses the inherent dilemma of HMO and provider partnering and suggests provider responses.

  2. 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.

  3. 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.

  4. Code Optimization in FORM

    CERN Document Server

    Kuipers, J; Vermaseren, J A M

    2013-01-01

    We describe the implementation of output code optimization in the open source computer algebra system FORM. This implementation is based on recently discovered techniques of Monte Carlo tree search to find efficient multivariate Horner schemes, in combination with other optimization algorithms, such as common subexpression elimination. For systems for which no specific knowledge is provided it performs significantly better than other methods we could compare with. Because the method has a number of free parameters, we also show some methods by which to tune them to different types of problems.

  5. 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

  6. Optimal control

    CERN Document Server

    Aschepkov, Leonid T; Kim, Taekyun; Agarwal, Ravi P

    2016-01-01

    This book is based on lectures from a one-year course at the Far Eastern Federal University (Vladivostok, Russia) as well as on workshops on optimal control offered to students at various mathematical departments at the university level. The main themes of the theory of linear and nonlinear systems are considered, including the basic problem of establishing the necessary and sufficient conditions of optimal processes. In the first part of the course, the theory of linear control systems is constructed on the basis of the separation theorem and the concept of a reachability set. The authors prove the closure of a reachability set in the class of piecewise continuous controls, and the problems of controllability, observability, identification, performance and terminal control are also considered. The second part of the course is devoted to nonlinear control systems. Using the method of variations and the Lagrange multipliers rule of nonlinear problems, the authors prove the Pontryagin maximum principle for prob...

  7. Numerical Optimization

    Science.gov (United States)

    1992-12-01

    optimization in macromolecular chemistry, CE- CAM - Centre Europden de Calcul Atomique et Molculaire, Orsay (Paris), Francia , 18-29 June 1990. [121 N...0024-3795/91/%.30 256 S. HERZEL M. C. RECCIIIONI. AND F. ZIRILLI A linear programming problem consists in minimizing a linear function over a region ...hypotheses (1/n)e is a feasible point, so that the feasible region is not empty. The simplex method applies to linear programming problems in standard form

  8. Distributed optimality

    OpenAIRE

    Trommer, Jochen

    2005-01-01

    In dieser Dissertation schlage ich eine Synthese (Distributed Optimality, DO) von Optimalitätstheorie und einem derivationellen, morphologischem Asatz, Distributed Morphology (DM; Halle & Marantz, 1993) vor. Durch die Integration von OT in DM wird es möglich, Phänomene, die in DM durch sprachspezifische Regeln oder Merkmale von lexikalischen Einträge erfasst werden, auf die Interaktion von verletzbaren, universellen Constraints zurückzuführen. Andererseits leistet auch DM zwei substantielle B...

  9. Optimization Problems

    Directory of Open Access Journals (Sweden)

    Yaping Hu

    2015-01-01

    the nonsmooth convex optimization problem. First, by using Moreau-Yosida regularization, we convert the original objective function to a continuously differentiable function; then we use approximate function and gradient values of the Moreau-Yosida regularization to substitute the corresponding exact values in the algorithm. The global convergence is proved under suitable assumptions. Numerical experiments are presented to show the effectiveness of this algorithm.

  10. 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

  11. 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.

  12. 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...

  13. 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...

  14. Lodging Update: Providence, Rhode Island

    Directory of Open Access Journals (Sweden)

    Ragel Roginsky

    2013-04-01

    Full Text Available Each quarter, Pinnacle Advisory Group prepares an analysis of the New England lodging industry, which provides a regional summary and then focuses in depth on a particular market. These reviews look at recent and proposed supply changes, factors affecting demand and growth rates, and the effects of interactions between such supply and demand trends. In this issue, the authors spotlight the lodging market in Providence, Rhode Island.

  15. Optimal Reconfiguration of Tetrahedral Formations

    Science.gov (United States)

    Huntington, Geoffrey; Rao, Anil V.; Hughes, Steven P.

    2004-01-01

    The problem of minimum-fuel formation reconfiguration for the Magnetospheric Multi-Scale (MMS) mission is studied. This reconfiguration trajectory optimization problem can be posed as a nonlinear optimal control problem. In this research, this optimal control problem is solved using a spectral collocation method called the Gauss pseudospectral method. The objective of this research is to provide highly accurate minimum-fuel solutions to the MMS formation reconfiguration problem and to gain insight into the underlying structure of fuel-optimal trajectories.

  16. 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....

  17. 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.¬

  18. 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.

  19. Torsional friction damper optimization

    Science.gov (United States)

    Ye, Shaochun; Williams, Keith A.

    2006-06-01

    A new approach for the analysis of friction dampers is presented in this work. The exact form of the steady-state solution for a friction damper implemented on a primary system is developed and numerical solutions are used to determine the optimum friction in a friction damper applied to a specific primary system. When compared to classical results presented by earlier authors, the new approach provides a more optimal solution. In addition, viscous damping in the primary system may be included with the new analysis approach. The ability to optimize a friction damper when viscous damping is included in the primary system is a significant improvement over earlier methods and shows potential for serving as a guide to realizing a more accurate estimate of the optimal damping for friction dampers.

  20. 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.

  1. Ancillary Services Provided from DER

    Energy Technology Data Exchange (ETDEWEB)

    Campbell, J.B.

    2005-12-21

    Distributed energy resources (DER) are quickly making their way to industry primarily as backup generation. They are effective at starting and then producing full-load power within a few seconds. The distribution system is aging and transmission system development has not kept up with the growth in load and generation. The nation's transmission system is stressed with heavy power flows over long distances, and many areas are experiencing problems in providing the power quality needed to satisfy customers. Thus, a new market for DER is beginning to emerge. DER can alleviate the burden on the distribution system by providing ancillary services while providing a cost adjustment for the DER owner. This report describes 10 types of ancillary services that distributed generation (DG) can provide to the distribution system. Of these 10 services the feasibility, control strategy, effectiveness, and cost benefits are all analyzed as in the context of a future utility-power market. In this market, services will be provided at a local level that will benefit the customer, the distribution utility, and the transmission company.

  2. 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.

  3. 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.

  4. Constructing Training Demonstrations

    Science.gov (United States)

    2009-01-16

    training (BMT) is one of the most extensively used training methods available to modern organizations [25]. BMT is based on Bandura’s social learning theory [13...Utilizing the model provided by social learning theory , BMT includes processes such as modeling, a retention process, behavioral rehearsal

  5. 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

  6. 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

  7. 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.

  8. 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.

  9. 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

  10. Service Provider DevOps

    OpenAIRE

    John, Wolfgang; Marchetto, Guido; Németh, Felicián; Sköldström, Pontus; Steinert, Rebecca; Meirosu, Catalin; Papafili, Ioanna; Pentikousis, Kostas

    2017-01-01

    Although there is consensus that software defined networking and network functions virtualization overhaul service provisioning and deployment, the community still lacks a definite answer on how carrier-grade operations praxis needs to evolve. This article presents what lies beyond the first evolutionary steps in network management, identifies the challenges in service verification, observability, and troubleshooting, and explains how to address them using our Service Provider DevOps (SP-DevO...

  11. 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.

  12. [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.

  13. 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.

  14. 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)].

  15. 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...

  16. 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 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....... It highlights a high degree of similarities between managers and workers, though knowledge of (cognitive level) the concept ‘CSR’ differ considerably. Informal practices are widespread and of key importance to the SMEs, expressed by managers and workers alike. History, industry and manager-workers relations...

  17. Using of Automatic Metadata Providing

    Directory of Open Access Journals (Sweden)

    P. Šimek

    2013-12-01

    Full Text Available The paper deals with the necessity of systemic solution for metadata providing by local archives into central repositories and its subsequent implementatiton by the Department of Information Technologies, Faculty of Economics and Management, Czech University of Life Sciences in Prague, for the needs of the agrarian WWW AGRIS portal. The system supports the OAI-PMH (Open Archive Initiative – Protocol for Metadata Harvesting protocol, several metadata formats and thesauri and meets the quality requirements: functionality, high level of reliability, applicability, sustainability and transferability. The SW application for the OAI-PMH requests’ servicing is run in the setting of the WWW Apache server using an efficient PHP framework Nette and database dibi layer.

  18. 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.

  19. 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.

  20. 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.

  1. 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...

  2. 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.

  3. 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.

  4. 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...

  5. Optimal control studies for steamflooding

    Energy Technology Data Exchange (ETDEWEB)

    Liu, Wei.

    1992-01-01

    A system science approach using optimal control theory of distributed parameter systems has been developed to determine operating strategies that maximize the economic attractiveness of the steamflooding Enhanced Oil Recovery (EOR) process. Necessary conditions for optimization are established by using the calculus of variations and Pontryagin's Maximum Principle. The objective criterion is to maximize the difference between oil revenue and injected steam cost. A stable and efficient numerical algorithm, based on an iterative gradient method, is developed. The optimal control model is based on a three-dimensional, three-phase (oil, steam and water) steam injection numerical simulator. A discrete form of the model is formulated. The optimized operating variables are the optimal bottom-hole pressure, the optimal injection rate of steam and water, and the optimal steam quality policies. Another optimal control study is also conducted on a simplified one-dimensional model (the extended Neuman model) to provide quick and reliable preliminary information on the economic feasibility of steamflooding processes. The simplified control model only considers the injection rate of steam as the control variable. The performance of this system science approach is investigated through various one-, two- and three-dimensional steamflooding problems. The effects of reservoir properties and heterogeneity on optimal policies as well as the sensitivity of the control variables are also studied. Results show this approach yields significant insight into the steamflooding EOR process. Improvement of the economic objective is significant under optimal operation conditions. These optimization results are quite important in a successful application of the steamflooding EOR method.

  6. 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.

  7. System floorplanning optimization

    KAUST Repository

    Browning, David W.

    2013-01-10

    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.

  8. 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.

  9. 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

  10. 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

  11. 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

  12. Multiple Satellite Trajectory Optimization

    Science.gov (United States)

    2004-12-01

    SOLVING OPTIMAL CONTROL PROBLEMS ........................................5...OPTIMIZATION A. SOLVING OPTIMAL CONTROL PROBLEMS The driving principle used to solve optimal control problems was first formalized by the Soviet...methods and processes of solving optimal control problems , this section will demonstrate how the formulations work as expected. Once coded, the

  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. Temperature controller optimization by computational intelligence

    Directory of Open Access Journals (Sweden)

    Ćojbašić Žarko M.

    2016-01-01

    Full Text Available In this paper a temperature control system for an automated educational classroom is optimized with several advanced computationally intelligent methods. Controller development and optimization has been based on developed and extensively tested mathematical and simulation model of the observed object. For the observed object cascade P-PI temperature controller has been designed and conventionally tuned. To improve performance and energy efficiency of the system, several metaheuristic optimizations of the controller have been attempted, namely genetic algorithm optimization, simulated annealing optimization, particle swarm optimization and ant colony optimization. Efficiency of the best results obtained with proposed computationally intelligent optimization methods has been compared with conventional controller tuning. Results presented in this paper demonstrate that heuristic optimization of advanced temperature controller can provide improved energy efficiency along with other performance improvements and improvements regarding equipment wear. Not only that presented methodology provides for determination and tuning of the core controller, but it also allows that advanced control concepts such as anti-windup controller gain are optimized simultaneously, which is of significant importance since interrelation of all control system parameters has important influence on the stability and performance of the system as a whole. Based on the results obtained, general conclusions are presented indicating that meta-heuristic computationally intelligent optimization of heating, ventilation, and air conditioning control systems is a feasible concept with strong potential in providing improved performance, comfort and energy efficiency. [Projekat Ministarstva nauke Republike Srbije, br. TR 33047 i br. TR 35016

  15. 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 ...

  16. 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

  17. Multidisciplinary design using collaborative optimization

    Science.gov (United States)

    Sobieski, Ian Patrick

    Management of the modern aircraft design process is a substantial challenge. Formal iterative optimization is commonly used with disciplinary design tools to aid designers in the definition of optimal subsystems. However, the expense in executing high fidelity analysis, the decomposition of the design expertise into disciplines, and the size of the design space, often precludes the use of direct optimization in the overall design process. Collaborative optimization is a recently developed methodology that shows promise in enabling formal optimization of the overall design. The architecture preserves disciplinary design autonomy while providing a coordinating mechanism that leads to interdisciplinary agreement and improved designs. The basic formulation has been applied to a variety of sample design problems which demonstrate that the method successfully discovers correct optimal solutions. This work places collaborative optimization in the context of other multidisciplinary design optimization methods and characterizes problems for which the basic formulation is applicable. Artifacts of the problem formulation are discussed and methods for handling high bandwidth coupling, such as that found in aeroelasticity, are presented. The use of response surfaces for representing expensive analyses has become increasingly popular in design optimization. Response surfaces are smooth analytic functions that are inexpensive to evaluate and may be generated from data points obtained from the parallel execution of analyses. These properties motivate the introduction of response surfaces into collaborative optimization. Response surfaces have been previously used to model subproblem analyses and were generated just once. Here, approximate models are used to represent the subproblem optimization results, not the analysis, and are regenerated as the design is modified. The use of response surfaces in collaborative optimization requires an inexpensive method for generating the

  18. 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.

  19. Constrained optimization using CODEQ

    Energy Technology Data Exchange (ETDEWEB)

    Omran, Mahamed G.H. [Department of Computer Science, Gulf University for Science and Technology, P.O. Box 7207, Hawally 32093 (Kuwait)], E-mail: omran.m@gust.edu.kw; Salman, Ayed [Computer Engineering Department, Kuwait University, P.O. Box 5969, Safat 13060 (Kuwait)], E-mail: ayed@eng.kuniv.edu.kw

    2009-10-30

    Many real-world optimization problems are constrained problems that involve equality and inequality constraints. CODEQ is a new, parameter-free meta-heuristic algorithm that is a hybrid of concepts from chaotic search, opposition-based learning, differential evolution and quantum mechanics. The performance of the proposed approach when applied to five constrained benchmark problems is investigated and compared with other approaches proposed in the literature. The experiments conducted show that CODEQ provides excellent results with the added advantage of no parameter tuning.

  20. Optimized joystick controller.

    Science.gov (United States)

    Ding, D; Cooper, R A; Spaeth, D

    2004-01-01

    The purpose of the study was to develop an optimized joystick control interface for electric powered wheelchairs and thus provide safe and effective control of electric powered wheelchairs to people with severe physical disabilities. The interface enables clinicians to tune joystick parameters for each individual subject through selecting templates, dead zones, and bias axes. In terms of hand tremor usually associated with people with traumatic brain injury, cerebral palsy, and multiple sclerosis, fuzzy logic rules were applied to suppress erratic hand movements and extract the intended motion from the joystick. Simulation results were presented to show the graphical tuning interface as well as the performance of the fuzzy logic controller.

  1. 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...

  2. Optimization modeling with spreadsheets

    CERN Document Server

    Baker, Kenneth R

    2015-01-01

    An accessible introduction to optimization analysis using spreadsheets Updated and revised, Optimization Modeling with Spreadsheets, Third Edition emphasizes model building skills in optimization analysis. By emphasizing both spreadsheet modeling and optimization tools in the freely available Microsoft® Office Excel® Solver, the book illustrates how to find solutions to real-world optimization problems without needing additional specialized software. The Third Edition includes many practical applications of optimization models as well as a systematic framework that il

  3. 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

  4. Optimization methods in structural design

    CERN Document Server

    Rothwell, Alan

    2017-01-01

    This book offers an introduction to numerical optimization methods in structural design. Employing a readily accessible and compact format, the book presents an overview of optimization methods, and equips readers to properly set up optimization problems and interpret the results. A ‘how-to-do-it’ approach is followed throughout, with less emphasis at this stage on mathematical derivations. The book features spreadsheet programs provided in Microsoft Excel, which allow readers to experience optimization ‘hands-on.’ Examples covered include truss structures, columns, beams, reinforced shell structures, stiffened panels and composite laminates. For the last three, a review of relevant analysis methods is included. Exercises, with solutions where appropriate, are also included with each chapter. The book offers a valuable resource for engineering students at the upper undergraduate and postgraduate level, as well as others in the industry and elsewhere who are new to these highly practical techniques.Whi...

  5. 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

  6. 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.

  7. An Efficient Chemical Reaction Optimization Algorithm for Multiobjective Optimization.

    Science.gov (United States)

    Bechikh, Slim; Chaabani, Abir; Ben Said, Lamjed

    2015-10-01

    Recently, a new metaheuristic called chemical reaction optimization was proposed. This search algorithm, inspired by chemical reactions launched during collisions, inherits several features from other metaheuristics such as simulated annealing and particle swarm optimization. This fact has made it, nowadays, one of the most powerful search algorithms in solving mono-objective optimization problems. In this paper, we propose a multiobjective variant of chemical reaction optimization, called nondominated sorting chemical reaction optimization, in an attempt to exploit chemical reaction optimization features in tackling problems involving multiple conflicting criteria. Since our approach is based on nondominated sorting, one of the main contributions of this paper is the proposal of a new quasi-linear average time complexity quick nondominated sorting algorithm; thereby making our multiobjective algorithm efficient from a computational cost viewpoint. The experimental comparisons against several other multiobjective algorithms on a variety of benchmark problems involving various difficulties show the effectiveness and the efficiency of this multiobjective version in providing a well-converged and well-diversified approximation of the Pareto front.

  8. 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

  9. AFRICAN BUFFALO OPTIMIZATION ico-pdf

    Directory of Open Access Journals (Sweden)

    Julius Beneoluchi Odili

    2016-02-01

    Full Text Available This is an introductory paper to the newly-designed African Buffalo Optimization (ABO algorithm for solving combinatorial and other optimization problems. The algorithm is inspired by the behavior of African buffalos, a species of wild cows known for their extensive migrant lifestyle. This paper presents an overview of major metaheuristic algorithms with the aim of providing a basis for the development of the African Buffalo Optimization algorithm which is a nature-inspired, population-based metaheuristic algorithm. Experimental results obtained from applying the novel ABO to solve a number of benchmark global optimization test functions as well as some symmetric and asymmetric Traveling Salesman’s Problems when compared to the results obtained from using other popular optimization methods show that the African Buffalo Optimization is a worthy addition to the growing number of swarm intelligence optimization techniques.

  10. Wind Electrolysis: Hydrogen Cost Optimization

    Energy Technology Data Exchange (ETDEWEB)

    Saur, G.; Ramsden, T.

    2011-05-01

    This report describes a hydrogen production cost analysis of a collection of optimized central wind based water electrolysis production facilities. The basic modeled wind electrolysis facility includes a number of low temperature electrolyzers and a co-located wind farm encompassing a number of 3MW wind turbines that provide electricity for the electrolyzer units.

  11. New Hoopoe Heuristic Optimization

    OpenAIRE

    El-Dosuky, Mohammed; EL-Bassiouny, Ahmed; Hamza, Taher; Rashad, Magdy

    2012-01-01

    Most optimization problems in real life applications are often highly nonlinear. Local optimization algorithms do not give the desired performance. So, only global optimization algorithms should be used to obtain optimal solutions. This paper introduces a new nature-inspired metaheuristic optimization algorithm, called Hoopoe Heuristic (HH). In this paper, we will study HH and validate it against some test functions. Investigations show that it is very promising and could be seen as an optimi...

  12. 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.

  13. Optimal resource allocation for distributed video communication

    CERN Document Server

    He, Yifeng

    2013-01-01

    While most books on the subject focus on resource allocation in just one type of network, this book is the first to examine the common characteristics of multiple distributed video communication systems. Comprehensive and systematic, Optimal Resource Allocation for Distributed Video Communication presents a unified optimization framework for resource allocation across these systems. The book examines the techniques required for optimal resource allocation over Internet, wireless cellular networks, wireless ad hoc networks, and wireless sensor networks. It provides you with the required foundat

  14. Optimality of feedback control strategies for qubit purification

    OpenAIRE

    Wiseman, Howard M.; Bouten, Luc

    2007-01-01

    Recently two papers [K. Jacobs, Phys. Rev. A {\\bf 67}, 030301(R) (2003); H. M. Wiseman and J. F. Ralph, New J. Physics {\\bf 8}, 90 (2006)] have derived control strategies for rapid purification of qubits, optimized with respect to various goals. In the former paper the proof of optimality was not mathematically rigorous, while the latter gave only heuristic arguments for optimality. In this paper we provide rigorous proofs of optimality in all cases, by applying simple concepts from optimal c...

  15. 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

  16. 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

  17. Optimal correction of independent and correlated errors

    OpenAIRE

    Jacobsen, Sol H.; Mintert, Florian

    2013-01-01

    We identify optimal quantum error correction codes for situations that do not admit perfect correction. We provide analytic n-qubit results for standard cases with correlated errors on multiple qubits and demonstrate significant improvements to the fidelity bounds and optimal entanglement decay profiles.

  18. A Problem-Oriented Mathematical Optimization Course

    Science.gov (United States)

    Wenger, Robert B.; Rhyner, Charles R.

    1977-01-01

    This article describes a one-semester junior and senior level course in applied mathematical optimization for undergraduates which provides the opportunity to test models by doing numerical experiments and to learn to use computer subroutines for solving optimization problems. (MN)

  19. 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. vZ provi...

  20. 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.

  1. 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 ...

  2. 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...

  3. Topology Optimization using a Topology Description Function Approach

    NARCIS (Netherlands)

    de Ruiter, M.J.

    2005-01-01

    During the last two decades, computational structural optimization methods have emerged, as computational power increased tremendously. Designers now have topological optimization routines at their disposal. These routines are able to generate the entire geometry of structures, provided only with in

  4. 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

  5. Optimization of composite laminates

    Science.gov (United States)

    Gurdal, Zafer; Haftka, Raphael T.

    Design of composite structures can be viewed as a multi-faceted task, one which requires integration of issues related to composite mechanics, structural analysis, optimization, and manufacturing. The major coverage of the paper is on the issue of optimization, with special emphasis on the use of optimization for designing with discrete and integer valued variables required for the stacking-sequence optimization. Different techniques that can be used for stacking sequence optimization are introduced, and different aspects of their application are demonstrated for laminate buckling optimization.

  6. Optimizing Temporal Queries

    DEFF Research Database (Denmark)

    Toman, David; Bowman, Ivan Thomas

    2003-01-01

    translated SQL queries by taking into account the properties of the encoding used for temporal attributes. For concreteness, this translation technique is presented in the context of SQL/TP; however, these techniques are also applicable to other temporal query languages......., these query languages are implemented by translating temporal queries into standard relational queries. However, the compiled queries are often quite cumbersome and expensive to execute even using state-of-the-art relational products. This paper presents an optimization technique that produces more efficient......Recent research in the area of temporal databases has proposed a number of query languages that vary in their expressive power and the semantics they provide to users. These query languages represent a spectrum of solutions to the tension between clean semantics and efficient evaluation. Often...

  7. Optimising Optimal Image Subtraction

    CERN Document Server

    Israel, H; Schuh, S; Israel, Holger; Hessman, Frederic V.; Schuh, Sonja

    2006-01-01

    Difference imaging is a technique for obtaining precise relative photometry of variable sources in crowded stellar fields and, as such, constitutes a crucial part of the data reduction pipeline in surveys for microlensing events or transiting extrasolar planets. The Optimal Image Subtraction (OIS) algorithm permits the accurate differencing of images by determining convolution kernels which, when applied to reference images of particularly good quality, provide excellent matches to the point-spread functions (PSF) in other images of the time series to be analysed. The convolution kernels are built as linear combinations of a set of basis functions, conventionally bivariate Gaussians modulated by polynomials. The kernel parameters must be supplied by the user and should ideally be matched to the PSF, pixel-sampling, and S/N of the data to be analysed. We have studied the outcome of the reduction as a function of the kernel parameters using our implementation of OIS within the TRIPP package. From the analysis o...

  8. PLZT Microfibers Technology Optimization

    Directory of Open Access Journals (Sweden)

    Kozielski L.

    2016-09-01

    Full Text Available Electrocaloric (EC structures for a new generation of cooling or heating elements utilize the temperature dependence of spontaneous polarization in some ferroelectric materials to convert waste heat into electricity and vice versa. A (Pb0.93La0.07 (Zr0.65Ti0.35O3 material, have the largest recorded pyroelectric coefficient. An effective predicted form for such applications is fiber, due to small heat capacitance and quick response time, even for nano second laser excitation. Consequently, the presented work provides a description of the optimization of structural, ferroelectric and piezoelectric properties of obtained fibers, finally concluding on necessity of sintering temperature reduction in 100°C in contrast to bulk form to effectively prevent its destruction.

  9. Improved extremal optimization for the asymmetric traveling salesman problem

    Science.gov (United States)

    Chen, Yu-Wang; Zhu, Yao-Jia; Yang, Gen-Ke; Lu, Yong-Zai

    2011-11-01

    This paper presents an improved extremal optimization (IEO) algorithm for solving the asymmetric traveling salesman problem (ATSP). At each update step, the IEO algorithm proceeds through two main steps: extremal dynamics and cooperative optimization. As an improvement of extremal optimization (EO), the IEO provides a general combinatorial optimization framework by emphasizing the step of cooperative optimization. In the paper, an effective cooperative optimization strategy with combination of greedy search and random walk is designed in terms of the microscopic characteristics of the ATSP solutions. Simulation results on a set of benchmark ATSP instances show that the proposed IEO algorithm provides satisfactory performance on computational effectiveness and efficiency.

  10. Optimality: from neural networks to universal grammar.

    Science.gov (United States)

    Prince, A; Smolensky, P

    1997-03-14

    Can concepts from the theory of neural computation contribute to formal theories of the mind? Recent research has explored the implications of one principle of neural computation, optimization, for the theory of grammar. Optimization over symbolic linguistic structures provides the core of a new grammatical architecture, optimality theory. The proposition that grammaticality equals optimality sheds light on a wide range of phenomena, from the gulf between production and comprehension in child language, to language learnability, to the fundamental questions of linguistic theory: What is it that the grammars of all languages share, and how may they differ?

  11. Evolutionary computation for dynamic optimization problems

    CERN Document Server

    Yao, Xin

    2013-01-01

    This book provides a compilation on the state-of-the-art and recent advances of evolutionary computation for dynamic optimization problems. The motivation for this book arises from the fact that many real-world optimization problems and engineering systems are subject to dynamic environments, where changes occur over time. Key issues for addressing dynamic optimization problems in evolutionary computation, including fundamentals, algorithm design, theoretical analysis, and real-world applications, are presented. "Evolutionary Computation for Dynamic Optimization Problems" is a valuable reference to scientists, researchers, professionals and students in the field of engineering and science, particularly in the areas of computational intelligence, nature- and bio-inspired computing, and evolutionary computation.

  12. Robust Portfolio Optimization Using Pseudodistances.

    Science.gov (United States)

    Toma, Aida; Leoni-Aubin, Samuela

    2015-01-01

    The presence of outliers in financial asset returns is a frequently occurring phenomenon which may lead to unreliable mean-variance optimized portfolios. This fact is due to the unbounded influence that outliers can have on the mean returns and covariance estimators that are inputs in the optimization procedure. In this paper we present robust estimators of mean and covariance matrix obtained by minimizing an empirical version of a pseudodistance between the assumed model and the true model underlying the data. We prove and discuss theoretical properties of these estimators, such as affine equivariance, B-robustness, asymptotic normality and asymptotic relative efficiency. These estimators can be easily used in place of the classical estimators, thereby providing robust optimized portfolios. A Monte Carlo simulation study and applications to real data show the advantages of the proposed approach. We study both in-sample and out-of-sample performance of the proposed robust portfolios comparing them with some other portfolios known in literature.

  13. Optimal Provision of Public Goods

    DEFF Research Database (Denmark)

    Kreiner, Claus Thustrup; Verdelin, Nicolaj

    2009-01-01

    There currently exist two competing approaches in the literature on the optimal provision of public goods. The standard approach highlights the importance of distortionary taxation and distributional concerns. The new approach neutralizes distributional concerns by adjusting the non-linear income...... for the optimal level of a public good without imposing strong assumptions on preferences. This formula shows that distortionary taxation may have a role to play as in the standard approach. However, the main determinants of optimal provision are completely different and the traditional formula with its emphasis...... tax, and finds that this reinvigorates the simple Samuelson rule when preferences are separable in goods and leisure. We provide a synthesis by demonstrating that both approaches derive from the same basic formula. We further develop the new approach by deriving a general, intuitive formula...

  14. Optimal Provision of Public Goods

    DEFF Research Database (Denmark)

    Kreiner, Claus Thustrup; Verdelin, Nicolaj

    There currently exist two competing approaches in the literature on the optimal provision of public goods. The standard approach highlights the importance of distortionary taxation and distributional concerns. The new approach neutralizes distributional concerns by adjusting the non-linear income...... for the optimal level of a public good without imposing any separability assumptions on preferences. This formula shows that distortionary taxation may have a role to play as in the standard approach. However, the main determinants of optimal provision are completely different and the traditional formula with its...... tax, and finds that this reinvigorates the simple Samuelson rule when preferences are separable in goods and leisure. We provide a synthesis by demonstrating that both approaches derive from the same basic formula. We further develop the new approach by deriving a general, intuitive formula...

  15. Bayesian Inference with Optimal Maps

    CERN Document Server

    Moselhy, Tarek A El

    2011-01-01

    We present a new approach to Bayesian inference that entirely avoids Markov chain simulation, by constructing a map that pushes forward the prior measure to the posterior measure. Existence and uniqueness of a suitable measure-preserving map is established by formulating the problem in the context of optimal transport theory. We discuss various means of explicitly parameterizing the map and computing it efficiently through solution of an optimization problem, exploiting gradient information from the forward model when possible. The resulting algorithm overcomes many of the computational bottlenecks associated with Markov chain Monte Carlo. Advantages of a map-based representation of the posterior include analytical expressions for posterior moments and the ability to generate arbitrary numbers of independent posterior samples without additional likelihood evaluations or forward solves. The optimization approach also provides clear convergence criteria for posterior approximation and facilitates model selectio...

  16. 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...

  17. Optimization of polarization lidar structure

    Science.gov (United States)

    Abramochkin, Alexander I.; Kaul, Bruno V.; Tikhomirov, Alexander A.

    1999-11-01

    The problems of the polarization lidar transceiver optimization are considered. The basic features and the optimization criteria of lidar polarization units are presented and the comparative analysis of polarization units is fulfilled. We have analyzed optical arrangements of the transmitter to form the desired polarization state of sounding radiation. We have also considered various types of lidar receiving systems: (1) one-channel, providing measurement of Stocks parameters at a successive change of position of polarization analyzers in the lidar receiver, and (2) multichannel, where each channel has a lens, an analyzer, and a photodetector. In the latter case measurements of Stocks parameters are carried out simultaneously. The optimization criteria of the polarization lidar considering the atmospheric state are determined with the purpose to decrease the number of polarization devices needed.

  18. Provider in triage: is this a place for nurse practitioners?

    Science.gov (United States)

    Bahena, Diana; Andreoni, Colleen

    2013-01-01

    The role of nurse practitioners (NPs) in emergency care continues to evolve. A new and exciting role is the provider-in-triage (PIT) role. This innovative role has been implemented in many emergency departments (EDs) across the country. It was developed primarily as a front-end strategy to improve throughput of patients receiving emergency care. The PIT process uses a provider, physician, NP, or physician assistant in the triage area. Patient satisfaction, quality measures, and financial improvements have been attributed to using a PIT. The emergency NP is an optimal choice for this role. Advanced emergency nursing knowledge, skills, and decision making confer the NP a cost-effective provider to improve throughput in the ED while providing quality emergency care.

  19. 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.

  20. 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.

  1. 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

  2. Oil Reservoir Production Optimization using Optimal Control

    DEFF Research Database (Denmark)

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

    2011-01-01

    Practical oil reservoir management involves solution of large-scale constrained optimal control problems. In this paper we present a numerical method for solution of large-scale constrained optimal control problems. The method is a single-shooting method that computes the gradients using the adjo......Practical oil reservoir management involves solution of large-scale constrained optimal control problems. In this paper we present a numerical method for solution of large-scale constrained optimal control problems. The method is a single-shooting method that computes the gradients using...... 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...... reservoir using water ooding and smart well technology. Compared to the uncontrolled case, the optimal operation increases the Net Present Value of the oil field by 10%....

  3. 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 provides profile information for oral health providers participating in Medicaid and Children's...

  4. Efficient Job Provisioning for a Cloud Service Provider

    Directory of Open Access Journals (Sweden)

    Sharma Dharmvir

    2016-01-01

    Full Text Available Cloud Computing is a very fast emerging technology as every enterprise is moving fast towards this system. Cloud Computing is known as a provider of dynamic services. It optimizes a very large, scalable and virtualized resource. So lots of industries have joined this bandwagon nowadays. One of the major research issues is to maintain good Quality of Service (QoS of a Cloud Service Provider (CSP. The QoS encompasses different parameters, like, smart job allocation strategy, efficient load balancing, response time optimization, reduction in wastage of bandwidth, accountability of the overall system, etc. The efficient allocation strategy of the independent computational jobs among different Virtual Machines (VM in a Data center (DC is a distinguishable challenge in the Cloud Computing domain and finding out an optimal job allocation strategy guided by a good scheduling heuristic for such an environment is a mape-k loop problem. So different heuristic approaches may be used for better result and in this result we paper we implement worst fit in mape-k and evaluated the results.

  5. 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...

  6. Optimized chaos control with simple limiters.

    Science.gov (United States)

    Wagner, C; Stoop, R

    2001-01-01

    We present an elementary derivation of chaos control with simple limiters using the logistic map and the Henon map as examples. This derivation provides conditions for optimal stabilization of unstable periodic orbits of a chaotic attractor.

  7. 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.

  8. 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...

  9. 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

  10. 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.

  11. 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

  12. 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.

  13. 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.

  14. 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...

  15. 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.

  16. 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...

  17. 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...

  18. 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.

  19. Optimal Multistage Algorithm for Adjoint Computation

    Energy Technology Data Exchange (ETDEWEB)

    Aupy, Guillaume; Herrmann, Julien; Hovland, Paul; Robert, Yves

    2016-01-01

    We reexamine the work of Stumm and Walther on multistage algorithms for adjoint computation. We provide an optimal algorithm for this problem when there are two levels of checkpoints, in memory and on disk. Previously, optimal algorithms for adjoint computations were known only for a single level of checkpoints with no writing and reading costs; a well-known example is the binomial checkpointing algorithm of Griewank and Walther. Stumm and Walther extended that binomial checkpointing algorithm to the case of two levels of checkpoints, but they did not provide any optimality results. We bridge the gap by designing the first optimal algorithm in this context. We experimentally compare our optimal algorithm with that of Stumm and Walther to assess the difference in performance.

  20. 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.

  1. 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.

  2. 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...

  3. 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...

  4. 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.

  5. 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.

  6. 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

  7. 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

  8. 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...

  9. 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.

  10. 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.

  11. 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...

  12. 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...... software where the users are assumed to be well-educated both in the finite element method and topology optimization. This dissertation describes how various topology optimization methods have been used for creating cross-platform applications with high performance. The user interface design is based...

  13. 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.

  14. 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.

  15. Medicare Provider Data - Part D Prescriber

    Data.gov (United States)

    U.S. Department of Health & Human Services — The Part D Prescriber Public Use File (PUF) provides information on prescription drugs prescribed by individual physicians and other health care providers and paid...

  16. 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 ...

  17. 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...

  18. Medicare Provider Data - Physician and Other Supplier

    Data.gov (United States)

    U.S. Department of Health & Human Services — The Physician and Other Supplier Public Use File (Physician and Other Supplier PUF) provides information on services and procedures provided to Medicare...

  19. Medicare Provider Payment Data - Skilled Nursing Facilities

    Data.gov (United States)

    U.S. Department of Health & Human Services — The Skilled Nursing Facility Utilization and Payment Public Use File (Skilled Nursing Facility PUF) provides information on services provided to Medicare...

  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. 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...

  2. 48 CFR 445.302 - Providing facilities.

    Science.gov (United States)

    2010-10-01

    ... 48 Federal Acquisition Regulations System 4 2010-10-01 2010-10-01 false Providing facilities. 445.302 Section 445.302 Federal Acquisition Regulations System DEPARTMENT OF AGRICULTURE CONTRACT MANAGEMENT GOVERNMENT PROPERTY Providing Government Property to Contractors 445.302 Providing facilities....

  3. 48 CFR 645.302 - Providing facilities.

    Science.gov (United States)

    2010-10-01

    ... 48 Federal Acquisition Regulations System 4 2010-10-01 2010-10-01 false Providing facilities. 645.302 Section 645.302 Federal Acquisition Regulations System DEPARTMENT OF STATE CONTRACT MANAGEMENT GOVERNMENT PROPERTY Providing Government Property to Contractors 645.302 Providing facilities....

  4. Co-providing: understanding the logistics.

    Science.gov (United States)

    Dickerson, Pamela S

    2011-11-01

    Continuing nursing education providers have sometimes said that they don't want to co-provide because "it's too much trouble" or they "won't be able to control what happens" or because they don't understand the process. This column clarifies the logistics of the co-provider relationship.

  5. 75 FR 48273 - Technical Service Provider Assistance

    Science.gov (United States)

    2010-08-10

    ... provisions by expanding the definition Technical Service Provider Assistance, which contained an error in the omission of ``Indian Tribe'' in the definition of Technical Service Provider. DATES: Effective Date: This... page 6846, in the third column, the Technical Service Provider definition reads ``Technical...

  6. Moral Distress in Pediatric Healthcare Providers.

    Science.gov (United States)

    Trotochaud, Karen; Coleman, Joyce Ramsey; Krawiecki, Nicolas; McCracken, Courtney

    2015-01-01

    Pediatric providers across professions and clinical settings experience moral distress. Higher moral distress correlates with intent to leave for all professionals. Physicians as professional group had the highest moral distress. Intensive care nurses had the highest moral distress for nurses. While all providers describe distressing scenarios as disturbing, physicians report situations as occurring more frequently. The most distressing situations include requests for aggressive treatments not in child's best interest, poor team communication and lack of provider continuity. Understanding moral distress as experienced by all pediatric providers is needed to create interventions with a goal of reducing provider turnover.

  7. 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...

  8. 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.

  9. 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

  10. 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.

  11. On Validating Boolean Optimizers

    CERN Document Server

    Morgado, Antonio

    2011-01-01

    Boolean optimization finds a wide range of application domains, that motivated a number of different organizations of Boolean optimizers since the mid 90s. Some of the most successful approaches are based on iterative calls to an NP oracle, using either linear search, binary search or the identification of unsatisfiable sub-formulas. The increasing use of Boolean optimizers in practical settings raises the question of confidence in computed results. For example, the issue of confidence is paramount in safety critical settings. One way of increasing the confidence of the results computed by Boolean optimizers is to develop techniques for validating the results. Recent work studied the validation of Boolean optimizers based on branch-and-bound search. This paper complements existing work, and develops methods for validating Boolean optimizers that are based on iterative calls to an NP oracle. This entails implementing solutions for validating both satisfiable and unsatisfiable answers from the NP oracle. The wo...

  12. 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.

  13. Homotopy optimization methods for global optimization.

    Energy Technology Data Exchange (ETDEWEB)

    Dunlavy, Daniel M.; O' Leary, Dianne P. (University of Maryland, College Park, MD)

    2005-12-01

    We define a new method for global optimization, the Homotopy Optimization Method (HOM). This method differs from previous homotopy and continuation methods in that its aim is to find a minimizer for each of a set of values of the homotopy parameter, rather than to follow a path of minimizers. We define a second method, called HOPE, by allowing HOM to follow an ensemble of points obtained by perturbation of previous ones. We relate this new method to standard methods such as simulated annealing and show under what circumstances it is superior. We present results of extensive numerical experiments demonstrating performance of HOM and HOPE.

  14. Topology optimized microbioreactors

    DEFF Research Database (Denmark)

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

    2011-01-01

    . 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....

  15. 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....

  16. 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.

  17. 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

  18. 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.

  19. 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.

  20. Home care providers to the rescue

    DEFF Research Database (Denmark)

    Hansen, Steen Møller; 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...

  1. Vector Broadcast Channels: Optimal Threshold Selection Problem

    CERN Document Server

    Samarasinghe, Tharaka; Evans, Jamie

    2011-01-01

    Threshold feedback policies are well known and provably rate-wise optimal selective feedback techniques for communication systems requiring partial channel state information (CSI). However, optimal selection of thresholds at mobile users to maximize information theoretic data rates subject to feedback constraints is an open problem. In this paper, we focus on the optimal threshold selection problem, and provide a solution for this problem for finite feedback systems. Rather surprisingly, we show that using the same threshold values at all mobile users is not always a rate-wise optimal feedback strategy, even for a system with identical users experiencing statistically the same channel conditions. By utilizing the theory of majorization, we identify an underlying Schur-concave structure in the rate function and obtain sufficient conditions for a homogenous threshold feedback policy to be optimal. Our results hold for most fading channel models, and we illustrate an application of our results to familiar Raylei...

  2. 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.

  3. Genetically optimizing weather predictions

    Science.gov (United States)

    Potter, S. B.; Staats, Kai; Romero-Colmenero, Encarni

    2016-07-01

    humidity, air pressure, wind speed and wind direction) into a database. Built upon this database, we have developed a remarkably simple approach to derive a functional weather predictor. The aim is provide up to the minute local weather predictions in order to e.g. prepare dome environment conditions ready for night time operations or plan, prioritize and update weather dependent observing queues. In order to predict the weather for the next 24 hours, we take the current live weather readings and search the entire archive for similar conditions. Predictions are made against an averaged, subsequent 24 hours of the closest matches for the current readings. We use an Evolutionary Algorithm to optimize our formula through weighted parameters. The accuracy of the predictor is routinely tested and tuned against the full, updated archive to account for seasonal trends and total, climate shifts. The live (updated every 5 minutes) SALT weather predictor can be viewed here: http://www.saao.ac.za/ sbp/suthweather_predict.html

  4. A Novel Consensus-Based Particle Swarm Optimization-Assisted Trust-Tech Methodology for Large-Scale Global Optimization.

    Science.gov (United States)

    Zhang, Yong-Feng; Chiang, Hsiao-Dong

    2016-06-20

    A novel three-stage methodology, termed the "consensus-based particle swarm optimization (PSO)-assisted Trust-Tech methodology," to find global optimal solutions for nonlinear optimization problems is presented. It is composed of Trust-Tech methods, consensus-based PSO, and local optimization methods that are integrated to compute a set of high-quality local optimal solutions that can contain the global optimal solution. The proposed methodology compares very favorably with several recently developed PSO algorithms based on a set of small-dimension benchmark optimization problems and 20 large-dimension test functions from the CEC 2010 competition. The analytical basis for the proposed methodology is also provided. Experimental results demonstrate that the proposed methodology can rapidly obtain high-quality optimal solutions that can contain the global optimal solution. The scalability of the proposed methodology is promising.

  5. 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…

  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. Finding Multiple Optimal Solutions to Optimal Load Distribution Problem in Hydropower Plant

    Directory of Open Access Journals (Sweden)

    Xinhao Jiang

    2012-05-01

    Full Text Available Optimal load distribution (OLD among generator units of a hydropower plant is a vital task for hydropower generation scheduling and management. Traditional optimization methods for solving this problem focus on finding a single optimal solution. However, many practical constraints on hydropower plant operation are very difficult, if not impossible, to be modeled, and the optimal solution found by those models might be of limited practical uses. This motivates us to find multiple optimal solutions to the OLD problem, which can provide more flexible choices for decision-making. Based on a special dynamic programming model, we use a modified shortest path algorithm to produce multiple solutions to the problem. It is shown that multiple optimal solutions exist for the case study of China’s Geheyan hydropower plant, and they are valuable for assessing the stability of generator units, showing the potential of reducing occurrence times of units across vibration areas.

  8. Optimal Aging and Death

    DEFF Research Database (Denmark)

    Dalgaard, Carl-Johan Lars; Strulik, Holger

    2010-01-01

    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...

  9. 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.

  10. Optimal load shedding and restoration

    Science.gov (United States)

    Xu, Ding

    Load shedding is an emergency control action in power systems that can save systems from a wide-area blackout. Underfrequency load shedding, steady state load shedding, and voltage load shedding are widely used in power systems. These methods utilize either the steady state model or a simplified dynamic model to represent a power systems. In this dissertation, a general optimal load shedding method that considers both the dynamic process and load distribution is proposed. The unfavorable load shedding is then formulated as an optimization problem with the objective function of cost minimization. This objective function is subjected to system, security, and operation constraints. The entire problem becomes a question of optimization with differential and nonlinear equations as constraints. To solve this problem, discretization is used to change the differential equations into algebraic equations. The original problem is thus reformulated as an optimization problem and can be solved by a standard mathematical program. The general idea is then applied to traditional power systems, deregulated power systems, power systems with distributed generation, and load restoration. In the traditional power system, the method shows that governor action, generation dynamic, disturbance location, and economic factors can be taken into consideration. In the deregulated power system, two power market models are developed and incorporated into the load shedding scheme. In power systems with multiple distributed generations, the different cases of disturbances are analyzed and models of different distributed generation developed. The general idea is then applied. Finally, the load restoration problem is studied, and it is proposed that an optimization method be applied to it. This dissertation provides a comprehensive solution for load shedding problem in power systems. The models developed in this research can also be used to study other power system problems.

  11. Optimization environments and the NEOS server

    Energy Technology Data Exchange (ETDEWEB)

    Gropp, W.; More, J.J. [Argonne National Lab., IL (United States). Mathematics and Computer Science Div.

    1997-03-01

    The authors are interested in the development of problem-solving environments that simplify the formulation of optimization problems, and the access to computational resources. Once the problem has been formulated, the first step in solving an optimization problem in a typical computational environment is to identify and obtain the appropriate piece of optimization software. Once the software has been installed and tested in the local environment, the user must read the documentation and write code to define the optimization problem in the manner required by the software. Typically, Fortran or C code must be written to define the problem, compute function values and derivatives, and specify sparsity patterns. Finally, the user must debug, compile, link, and execute the code. The Network-Enabled Optimization System (NEOS) is an Internet-based service for optimization providing information, software, and problem-solving services for optimization. The main components of NEOS are the NEOS Guide and the NEOS Server. The current version of the NEOS Server is described in Section 2. The authors emphasize nonlinear optimization problems, but NEOS does handle linear and nonlinearly constrained optimization problems, and solvers for optimization problems subject to integer variables are being added. In Section 4 the authors begin to explore possible extensions to the NEOS Server by discussing the addition of solvers for global optimization problems. Section 5 discusses how a remote procedure call (RPC) interface to NEOS addresses some of the limitations of NEOS in the areas of security and usability. The detailed implementation of such an interface raises a number of questions, such as exactly how the RPC is implemented, what security or authentication approaches are used, and what techniques are used to improve the efficiency of the communication. They outline some of the issues in network computing that arise from the emerging style of computing used by NEOS.

  12. 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

  13. 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.

  14. 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.

  15. Optimized manufacturable porous materials

    DEFF Research Database (Denmark)

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

    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 manufactured directly using rapid manufacturing techniques, such as selective laser melting/sintering (SLM....../S). The available manufacturing methods are best suited for porous materials (one constituent and void), but the optimization procedure can easily include more constituents. The elasticity tensor is found from one unit cell using the homogenization method together with a standard finite element (FE) discretization...

  16. Virtual Market Using Logistics Optimization

    Directory of Open Access Journals (Sweden)

    Reddy Veera Babu

    2010-03-01

    Full Text Available In this paper we have proposed an idea called virtual marketplace that effectively utilizes the widespread and vast cellular phone infrastructure and the recent advances in sensor technology, leading to tremendous cost and time saving. This idea takes virtual markets to a new level of evolution, with unparalleled customer convenience, speed, quality assurance and reliability. Almost every item such as books, electronic goods, milk, vegetables, televisions and food items can be traded using this virtual market. Some of the key features are: (i Wireless communication-enabled real-time inventory and (ii logistics optimization (iii quality control (iv delivery people-human employees to pick up and deliver products and (v real time authentication of transactions. The goal of this work is to develop an eco-friendly virtual market for potential buyers/sellers (such as enabling trade with in sustainable or ecological communities, providing an efficient client-server communication through Logistics optimization.

  17. 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.

  18. CT protocol review and optimization.

    Science.gov (United States)

    Kofler, James M; Cody, Dianna D; Morin, Richard L

    2014-03-01

    To reduce the radiation dose associated with CT scans, much attention is focused on CT protocol review and improvement. In fact, annual protocol reviews will soon be required for ACR CT accreditation. A major challenge in the protocol review process is determining whether a current protocol is optimal and deciding what steps to take to improve it. In this paper, the authors describe methods for pinpointing deficiencies in CT protocols and provide a systematic approach for optimizing them. Emphasis is placed on a team approach, with a team consisting of at least one radiologist, one physicist, and one technologist. This core team completes a critical review of all aspects of a CT protocol and carefully evaluates proposed improvements. Changes to protocols are implemented only with consensus of the core team, with consideration of all aspects of the CT examination, including image quality, radiation dose, patient care and safety, and workflow.

  19. 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...

  20. Search for the optimal diet.

    Science.gov (United States)

    Mullin, Gerard E

    2010-12-01

    Since the beginning of time, we have been searching for diets that satisfy our palates while simultaneously optimizing health and well-being. Every year, there are hundreds of new diet books on the market that make a wide range of promises but rarely deliver. Unfortunately, consumers are gullible and believe much of the marketing hype because they are desperately seeking ways to maximize their health. As a result, they continue to purchase these diet books, sending many of them all the way to the bestseller list. Because many of these meal plans are not sustainable and are questionable in their approaches, the consumer is ultimately left to continue searching, only able to choose from the newest "fad" promoted by publicists rather than being grounded in science. Thus, the search for the optimal diet continues to be the "holy grail" for many of us today, presenting a challenge for nutritionists and practitioners to provide sound advice to consumers.

  1. 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.

  2. GLRT-Optimal Noncoherent Lattice Decoding

    CERN Document Server

    Ryan, Daniel J; Clarkson, I Vaughan L

    2007-01-01

    This paper presents new low-complexity lattice-decoding algorithms for noncoherent block detection of QAM and PAM signals over complex-valued fading channels. The algorithms are optimal in terms of the generalized likelihood ratio test (GLRT). The computational complexity is polynomial in the block length; making GLRT-optimal noncoherent detection feasible for implementation. We also provide even lower complexity suboptimal algorithms. Simulations show that the suboptimal algorithms have performance indistinguishable from the optimal algorithms. Finally, we consider block based transmission, and propose to use noncoherent detection as an alternative to pilot assisted transmission (PAT). The new technique is shown to outperform PAT.

  3. 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.

  4. 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

  5. Optimizing reversible simulation of injective functions

    DEFF Research Database (Denmark)

    Yokoyama, Tetsuo; Axelsen, Holger Bock; Glück, Robert

    2012-01-01

    Bennett showed that a clean reversible simulation of injective programs is possible without returning the input of a program as additional output. His method involves two computation and two uncomputation phases. This paper proposes an optimization of Bennett’s simulation that requires only half ......-coding program is further optimized by conserving the model over the text-generation phase. This paper may thus provide a newviewon developing efficient reversible simulations for a certain class of injective functions....

  6. 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

  7. 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.

  8. Connections Between Singular Control and Optimal Switching

    OpenAIRE

    Guo, Xin; Tomecek, Pascal

    2007-01-01

    This paper builds a new theoretical connection between singular control of finite variation and optimal switching problems. This correspondence provides a novel method for solving high-dimensional singular control problems, and enables us to extend the theory of reversible investment: sufficient conditions are derived for the existence of optimal controls and for the regularity of value functions. Consequently, our regularity result links singular controls and Dynkin games through sequential ...

  9. 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.

  10. 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.

  11. 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.

  12. Elder Care for Alzheimer's: Choosing a Provider

    Science.gov (United States)

    ... elder care center for a loved one with Alzheimer's. What should I look for when considering a ... provide an opportunity for your loved one with Alzheimer's to receive assistance and therapeutic activities in a ...

  13. New Zika Vaccine Candidate Provides Powerful Protection

    Science.gov (United States)

    ... https://medlineplus.gov/news/fullstory_163384.html New Zika Vaccine Candidate Provides Powerful Protection Made without live ... HealthDay News) -- A single dose of an experimental Zika vaccine protected mice and monkeys from the virus, ...

  14. 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...

  15. 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...

  16. Medicare Provider Utilization and Payment Data

    Data.gov (United States)

    U.S. Department of Health & Human Services — CMS has released a series of publicly available data files that summarize the utilization and payments for procedures, services, and prescription drugs provided to...

  17. 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...

  18. 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)

  19. 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...

  20. 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)...

  1. 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...

  2. 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...

  3. Global Optimization using Interval Analysis: Interval Optimization for Aerospace Applications

    NARCIS (Netherlands)

    Van Kampen, E.

    2010-01-01

    Optimization is an important element in aerospace related research. It is encountered for example in trajectory optimization problems, such as: satellite formation flying, spacecraft re-entry optimization and airport approach and departure optimization; in control optimization, for example in adapti

  4. 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

  5. Procedures for Dealing with Optimism Bias in Transport Planning

    DEFF Research Database (Denmark)

    Flyvbjerg, Bent; Glenting, Carsten; Rønnest, Arne Kvist

    of the document are to provide empirically based optimism bias up-lifts for selected reference classes of transport infrastructure projects and provide guidance on using the established uplifts to produce more realistic forecasts for the individual project's capital expenditures. Furthermore, the underlying...... causes and institutional context for optimism bias in British transport projects are discussed and some possibilities for reducing optimism bias in project preparation and decision-making are identified....

  6. 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.

  7. 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 ...

  8. 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...

  9. 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.

  10. 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

  11. 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

  12. 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)

  13. Optimal control computer programs

    Science.gov (United States)

    Kuo, F.

    1992-01-01

    The solution of the optimal control problem, even with low order dynamical systems, can usually strain the analytical ability of most engineers. The understanding of this subject matter, therefore, would be greatly enhanced if a software package existed that could simulate simple generic problems. Surprisingly, despite a great abundance of commercially available control software, few, if any, address the part of optimal control in its most generic form. The purpose of this paper is, therefore, to present a simple computer program that will perform simulations of optimal control problems that arise from the first necessary condition and the Pontryagin's maximum principle.

  14. 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.

  15. 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.

  16. Contingency contractor optimization.

    Energy Technology Data Exchange (ETDEWEB)

    Gearhart, Jared Lee; Adair, Kristin Lynn; Jones, Katherine A.; Bandlow, Alisa; Durfee, Justin David.; Jones, Dean A.; Martin, Nathaniel; Detry, Richard Joseph; Nanco, Alan Stewart; Nozick, Linda Karen

    2013-10-01

    The goal of Phase 3 the OSD ATL Contingency Contractor Optimization (CCO) project is to create an engineering prototype of a tool for the contingency contractor element of total force planning during the Support for Strategic Analysis (SSA). An optimization model was developed to determine the optimal mix of military, Department of Defense (DoD) civilians, and contractors that accomplishes a set of user defined mission requirements at the lowest possible cost while honoring resource limitations and manpower use rules. An additional feature allows the model to understand the variability of the Total Force Mix when there is uncertainty in mission requirements.

  17. Contingency contractor optimization.

    Energy Technology Data Exchange (ETDEWEB)

    Gearhart, Jared Lee; Adair, Kristin Lynn; Jones, Katherine A.; Bandlow, Alisa; Detry, Richard Joseph; Durfee, Justin David.; Jones, Dean A.; Martin, Nathaniel; Nanco, Alan Stewart; Nozick, Linda Karen

    2013-06-01

    The goal of Phase 3 the OSD ATL Contingency Contractor Optimization (CCO) project is to create an engineering prototype of a tool for the contingency contractor element of total force planning during the Support for Strategic Analysis (SSA). An optimization model was developed to determine the optimal mix of military, Department of Defense (DoD) civilians, and contractors that accomplishes a set of user defined mission requirements at the lowest possible cost while honoring resource limitations and manpower use rules. An additional feature allows the model to understand the variability of the Total Force Mix when there is uncertainty in mission requirements.

  18. 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.

  19. 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.

  20. Optimal design criteria - prediction vs. parameter estimation

    Science.gov (United States)

    Waldl, Helmut

    2014-05-01

    G-optimality is a popular design criterion for optimal prediction, it tries to minimize the kriging variance over the whole design region. A G-optimal design minimizes the maximum variance of all predicted values. If we use kriging methods for prediction it is self-evident to use the kriging variance as a measure of uncertainty for the estimates. Though the computation of the kriging variance and even more the computation of the empirical kriging variance is computationally very costly and finding the maximum kriging variance in high-dimensional regions can be time demanding such that we cannot really find the G-optimal design with nowadays available computer equipment in practice. We cannot always avoid this problem by using space-filling designs because small designs that minimize the empirical kriging variance are often non-space-filling. D-optimality is the design criterion related to parameter estimation. A D-optimal design maximizes the determinant of the information matrix of the estimates. D-optimality in terms of trend parameter estimation and D-optimality in terms of covariance parameter estimation yield basically different designs. The Pareto frontier of these two competing determinant criteria corresponds with designs that perform well under both criteria. Under certain conditions searching the G-optimal design on the above Pareto frontier yields almost as good results as searching the G-optimal design in the whole design region. In doing so the maximum of the empirical kriging variance has to be computed only a few times though. The method is demonstrated by means of a computer simulation experiment based on data provided by the Belgian institute Management Unit of the North Sea Mathematical Models (MUMM) that describe the evolution of inorganic and organic carbon and nutrients, phytoplankton, bacteria and zooplankton in the Southern Bight of the North Sea.

  1. 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.

  2. 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.

  3. Cooperative Bacterial Foraging Optimization

    Directory of Open Access Journals (Sweden)

    Hanning Chen

    2009-01-01

    Full Text Available Bacterial Foraging Optimization (BFO is a novel optimization algorithm based on the social foraging behavior of E. coli bacteria. This paper presents a variation on the original BFO algorithm, namely, the Cooperative Bacterial Foraging Optimization (CBFO, which significantly improve the original BFO in solving complex optimization problems. This significant improvement is achieved by applying two cooperative approaches to the original BFO, namely, the serial heterogeneous cooperation on the implicit space decomposition level and the serial heterogeneous cooperation on the hybrid space decomposition level. The experiments compare the performance of two CBFO variants with the original BFO, the standard PSO and a real-coded GA on four widely used benchmark functions. The new method shows a marked improvement in performance over the original BFO and appears to be comparable with the PSO and GA.

  4. Group Leaders Optimization Algorithm

    CERN Document Server

    Daskin, Anmer

    2010-01-01

    Complexity of global optimization algorithms makes implementation of the algorithms difficult and leads the algorithms to require more computer resources for the optimization process. The ability to explore the whole solution space without increasing the complexity of algorithms has a great importance to not only get reliable results but so also make the implementation of these algorithms more convenient for higher dimensional and complex-real world problems in science and engineering. In this paper, we present a new global optimization algorithm in which the influence of the leaders in social groups is used as an inspiration for the evolutionary technique that is designed into a group architecture similar to the architecture of Cooperative Coevolutionary Algorithms. Therefore, we present the implementation method and the experimental results for the single and multidimensional optimization test problems and a scientific real world problem, the energies and the geometric structures of Lennard-Jones clusters.

  5. 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...

  6. 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...

  7. 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.

  8. 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...

  9. 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...

  10. 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...... of up to 34% is found, still with the standard International Organization for Standardization thread. The design changes suggested in this article also have the positive advantage of reducing the joint stiffness factor. The reduction in the bolt shank directly reduces the bolt stiffness but the design...

  11. 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.

  12. Radiation Shielding Optimization on Mars

    Science.gov (United States)

    Slaba, Tony C.; Mertens, Chris J.; Blattnig, Steve R.

    2013-01-01

    Future space missions to Mars will require radiation shielding to be optimized for deep space transit and an extended stay on the surface. In deep space, increased shielding levels and material optimization will reduce the exposure from most solar particle events (SPE) but are less effective at shielding against galactic cosmic rays (GCR). On the surface, the shielding provided by the Martian atmosphere greatly reduces the exposure from most SPE, and long-term GCR exposure is a primary concern. Previous work has shown that in deep space, additional shielding of common materials such as aluminum or polyethylene does not significantly reduce the GCR exposure. In this work, it is shown that on the Martian surface, almost any amount of aluminum shielding increases exposure levels for humans. The increased exposure levels are attributed to neutron production in the shield and Martian regolith as well as the electromagnetic cascade induced in the Martian atmosphere. This result is significant for optimization of vehicle and shield designs intended for the surface of Mars.

  13. MDP challenges from a software provider's perspective

    Science.gov (United States)

    Ohara, Shuichiro

    2014-10-01

    This industry faces new challenges every day. It gets tougher as process nodes shrink and the data complexity and volume increase. We are a mask data preparation (MDP) software provider, and have been providing MDP systems to mask shops since 1990. As the industry has, MDP software providers also have been facing new challenges over time, and the challenges get tougher as process nodes shrink and the data complexity and volume increase. We discuss such MDP challenges and solutions in this paper from a MDP software provider's perspective. The data volume continuously increases, and it is caused by shrinking the process node. In addition, resolution enhancement techniques (RET) such as optical proximity correction (OPC) and inverse lithography technique (ILT) induce data complexity, and it contributes considerably to the increase in data volume. The growth of data volume and complexity brings challenges to MDP system, such as the computing speed, shot count, and mask process correction (MPC). New tools (especially mask writers) also bring new challenges. Variable-shaped E-beam (VSB) mask writers demand fracturing less slivers and lower figure counts for CD accuracy and write time requirements respectively. Now multibeam mask writers are under development and will definitely bring new challenges.

  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. 78 FR 14034 - Health Insurance Providers Fee

    Science.gov (United States)

    2013-03-04

    ... techniques or other forms of information technology; and Estimates of capital or start-up costs and costs of... the 111th Congress, JCS-2-11 (March 2011) (JCT General Explanation) at 330. A State health department... select a person as the designated entity on Form 8963, ``Report of Health Insurance Provider...

  16. 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.

  17. Medical Services: Nonphysician Health Care Providers

    Science.gov (United States)

    2007-11-02

    of osteopathy ). (2) PAs may write routine orders on inpatients, using DA Form 4256 (Doctor’s Orders). (3) When required, inpatient treatment...of medicine or osteopathy , who are authorized and responsible for determining, starting, or altering the regimen of medical treatment provided to a

  18. 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...

  19. 44 CFR 206.393 - Providing assistance.

    Science.gov (United States)

    2010-10-01

    ... HOMELAND SECURITY DISASTER ASSISTANCE FEDERAL DISASTER ASSISTANCE Fire Suppression Assistance § 206.393 Providing assistance. Following the Assistant Administrator for the Disaster Assistance Directorate's... requested by the State. For each fire or fire situation, the State shall prepare a separate Fire...

  20. 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.

  1. 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.

  2. 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.

  3. Promoting wellness of peer providers through coaching.

    Science.gov (United States)

    Brice, George H; Swarbrick, Margaret A; Gill, Kenneth J

    2014-01-01

    Peer wellness coaching is workforce innovation that empowers individuals with mental and substance use disorders to achieve recovery. This article briefly describes how this approach can help peer providers develop self-care skills to improve job tenure and promote satisfaction. Promising results of this new approach are presented.

  4. 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.

  5. GEAR UP: Providing Opportunities or Conflict?

    Science.gov (United States)

    Walsh, Rachael

    2008-01-01

    Since 1965 the federal government has attempted to provide low socioeconomic status students with equal access to postsecondary education through the Higher Education Act and its multiplicative programmatic efforts. Implemented as one such program in 1998, the Gaining Early Awareness and Readiness for Undergraduate Programs, or GEAR UP, has been…

  6. How Do Health Care Providers Diagnose Vaginitis?

    Science.gov (United States)

    ... the treatments? Are there complications? Does it affect pregnancy? How is it prevented? NICHD Research Information Clinical Trials Resources and Publications How do health care providers diagnose vaginitis? Skip sharing on social media links Share this: Page Content To find out ...

  7. Accessibility of MOOCs: Understanding the Provider Perspective

    Science.gov (United States)

    Iniesto, Francisco; McAndrew, Patrick; Minocha, Shailey; Coughlan, Tim

    2016-01-01

    Massive Online Open Courses (MOOCs) have become an accepted way to make learning opportunities available at large scale and with low cost to the learner. However, only if these are made accessible will they be able to offer flexibility of learning and benefits to all, irrespective of disability. Experience in providing accessible online learning…

  8. PROVIDES: A Complete Veterinary Medical Information System

    OpenAIRE

    Pollock, Roy V.H.; Fredericks, Thomas A.

    1988-01-01

    The desirable attributes of a computer-based diagnostic aid are proposed. These include ease of use, ready accessibility, sound reasoning, completeness, the ability to justify its recommendations, and a system for updating. These principles are illustrated by examples from the authors' diagnostic system (PROVIDES).

  9. 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.

  10. 78 FR 71476 - Health Insurance Providers Fee

    Science.gov (United States)

    2013-11-29

    ... under subchapter L, an entity providing health insurance under Medicare Advantage, Medicare Part D, or... entities from the DOL reporting requirements under 29 CFR 2520.101-2 governing MEWAs. The reasons... entity's status as an ECE is only relevant for reporting during a limited period of time. For...

  11. 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…

  12. A Novel Optimal Control Method for Impulsive-Correction Projectile Based on Particle Swarm Optimization

    Directory of Open Access Journals (Sweden)

    Ruisheng Sun

    2016-01-01

    Full Text Available This paper presents a new parametric optimization approach based on a modified particle swarm optimization (PSO to design a class of impulsive-correction projectiles with discrete, flexible-time interval, and finite-energy control. In terms of optimal control theory, the task is described as the formulation of minimum working number of impulses and minimum control error, which involves reference model linearization, boundary conditions, and discontinuous objective function. These result in difficulties in finding the global optimum solution by directly utilizing any other optimization approaches, for example, Hp-adaptive pseudospectral method. Consequently, PSO mechanism is employed for optimal setting of impulsive control by considering the time intervals between two neighboring lateral impulses as design variables, which makes the briefness of the optimization process. A modification on basic PSO algorithm is developed to improve the convergence speed of this optimization through linearly decreasing the inertial weight. In addition, a suboptimal control and guidance law based on PSO technique are put forward for the real-time consideration of the online design in practice. Finally, a simulation case coupled with a nonlinear flight dynamic model is applied to validate the modified PSO control algorithm. The results of comparative study illustrate that the proposed optimal control algorithm has a good performance in obtaining the optimal control efficiently and accurately and provides a reference approach to handling such impulsive-correction problem.

  13. 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

  14. Optimization of Medical Teaching Methods

    Directory of Open Access Journals (Sweden)

    Wang Fei

    2015-12-01

    Full Text Available In order to achieve the goal of medical education, medicine and adapt to changes in the way doctors work, with the rapid medical teaching methods of modern science and technology must be reformed. Based on the current status of teaching in medical colleges method to analyze the formation and development of medical teaching methods, characteristics, about how to achieve optimal medical teaching methods for medical education teachers and management workers comprehensive and thorough change teaching ideas and teaching concepts provide a theoretical basis.

  15. 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.

  16. Polynomial Datapaths Optimization

    OpenAIRE

    Parta, Hojat

    2014-01-01

    The research presented focuses on optimization of polynomials using algebraic manipulations at the high level and digital arithmetic techniques at the implementation level. Previous methods lacked any algebraic understanding of the polynomials or only exposed limited potential. We have treated the polynomial optimization problem in abstract algebra allowing us algebraic freedom to transform polynomials. Unlike previous attempts where only a set of limited benchmarks have been used, we have fo...

  17. 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...... under the head, at the thread start or at the thread root. To minimize the stress concentration shape optimization is applied....

  18. 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.

  19. 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 ...

  20. 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.

  1. Adaptive Bacterial Foraging Optimization

    Directory of Open Access Journals (Sweden)

    Hanning Chen

    2011-01-01

    Full Text Available Bacterial Foraging Optimization (BFO is a recently developed nature-inspired optimization algorithm, which is based on the foraging behavior of E. coli bacteria. Up to now, BFO has been applied successfully to some engineering problems due to its simplicity and ease of implementation. However, BFO possesses a poor convergence behavior over complex optimization problems as compared to other nature-inspired optimization techniques. This paper first analyzes how the run-length unit parameter of BFO controls the exploration of the whole search space and the exploitation of the promising areas. Then it presents a variation on the original BFO, called the adaptive bacterial foraging optimization (ABFO, employing the adaptive foraging strategies to improve the performance of the original BFO. This improvement is achieved by enabling the bacterial foraging algorithm to adjust the run-length unit parameter dynamically during algorithm execution in order to balance the exploration/exploitation tradeoff. The experiments compare the performance of two versions of ABFO with the original BFO, the standard particle swarm optimization (PSO and a real-coded genetic algorithm (GA on four widely-used benchmark functions. The proposed ABFO shows a marked improvement in performance over the original BFO and appears to be comparable with the PSO and GA.

  2. 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...

  3. 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.

  4. Implementing the cost-optimal methodology in EU countries

    DEFF Research Database (Denmark)

    Atanasiu, Bogdan; Kouloumpi, Ilektra; Thomsen, Kirsten Engelund

    This study presents three cost-optimal calculations. The overall aim is to provide a deeper analysis and to provide additional guidance on how to properly implement the cost-optimality methodology in Member States. Without proper guidance and lessons from exemplary case studies using realistic...... input data (reflecting the likely future development), there is a risk that the cost-optimal methodology may be implemented at sub-optimal levels. This could lead to a misalignment between the defined cost-optimal levels and the long-term goals, leaving a significant energy saving potential unexploited....... Therefore, this study provides more evidence on the implementation of the cost-optimal methodology and highlights the implications of choosing different values for key factors (e.g. discount rates, simulation variants/packages, costs, energy prices) at national levels. The study demonstrates how existing...

  5. On Symmetries in Optimal Control

    OpenAIRE

    van der Schaft, A. J.

    1986-01-01

    We discuss the use of symmetries in solving optimal control problems. In particular a procedure for obtaining symmetries is given which can be performed before the actual calculation of the optimal control and optimal Hamiltonian.

  6. 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...

  7. 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.

  8. 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.

  9. 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.

  10. Optimal inference in dynamic models with conditional moment restrictions

    DEFF Research Database (Denmark)

    Christensen, Bent Jesper; Sørensen, Michael

    By an application of the theory of optimal estimating function, optimal in- struments for dynamic models with conditional moment restrictions are derived. The general efficiency bound is provided, along with estimators attaining the bound. It is demonstrated that the optimal estimators are always...... optimal estimator reduces to Newey's. Specification and hypothesis testing in our framework are introduced. We derive the theory of optimal instruments and the associated asymptotic dis- tribution theory for general cases including non-martingale estimating functions and general history dependence...

  11. Verb Movement Variation in Germanic and Optimality Theory

    DEFF Research Database (Denmark)

    Vikner, Sten

    2001-01-01

    are independent of (but not incompatible with) Optimality Theory, the objective in Part II, "Accounting for the typology: Optimality Theory and Germanic Verb Movement", is not only to show how these facts may be accounted for within Optimality Theory but also to show why it is more promising to do this within...... Optimality Theory than within a theory with non-violable constraints. Chapter 4 provides an introduction to Optimality Theory syntax, and chapter 5 introduces the constraints and discusses the basic data, namely the word order in embedded clauses and in clauses with V2. In chapter 6, the more complicated...

  12. 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

    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......) algorithm cannot be applied for this model because the likelihood is hard to evaluate without additional assumptions. We suggest an approach based on multivariate estimating equations that are solved using a recursive structure. This approach leads to an estimator where the large sample properties can...

  13. 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.

  14. Whittaker pairs for the Virasoro algebra and the Gaiotto - BMT states

    CERN Document Server

    Felinska, Ewa; Kosztolowicz, Michal

    2011-01-01

    In this paper we analyze Whittaker modules for two families of Wittaker pairs related to the subalgebras of the Virasoro algebra generated by L_r,..., L_{2r} and L_1,L_n. The structure theorems for the corresponding universal Whittaker modules are proved and some of their consequences are derived. All the Gaiotto {arXiv:0908.0307} and the Bonelli-Maruyoshi-Tanzini {arXiv:1112.1691} states in an arbitrary Virasoro algebra Verma module are explicitly constructed.

  15. Strategi Marketing Mix Baitul Mal wa Tamwil (BMT) Unit Gabungan Terpadu (UGT) Sidogiri Pasuruan

    OpenAIRE

    Cihwanul Kirom

    2016-01-01

    Within the business realm, marketing is a key factor which determines the success of distribution. Therefore, strategy and innovation are a necessity. Marketing activity would ensure whether a certain product is delivered to the costumers. In order to achieve the desired goals of marketing, it is important to manufacturers to follow a set of marketing processes, which comprise market overview, marketing strategy, marketing mix, and evaluation. Marketing mix is a set of strategies consist of p...

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

    Science.gov (United States)

    2016-11-21

    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

  17. Informed consent - Providing information about prenatal examinations

    DEFF Research Database (Denmark)

    Dahl, Katja; Kesmodel, Ulrik; Hvidman, Lone

    Prenatal care has gradually moved away from paternalism, to a state where patient autonomy and information is vital. It is known from other health care settings that the way information is presented affects understanding.The objective is to summarize current knowledge on aspects of informing...... pregnant women about prenatal examinations. Women's knowledge, decisional conflict, satisfaction and anxiety will be explored as compared with different ways and different groups of health professionals providing information. To what extent information empowers informed decision making will be explored......, individual sessions and by way of written materials. None of the interventions leads to a raise in anxiety scores or influence up-take rates. Satisfaction with information provided is found unrelated to level of knowledge, but associated with having expectations for information met. Information does not seem...

  18. 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...

  19. The EU as an international security provider

    DEFF Research Database (Denmark)

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

    2015-01-01

    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...... 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....

  20. Providing contact cards for relatives following bereavement.

    Science.gov (United States)

    Clarke, K; Pearson, N

    This article describes the implementation of a Welsh Assembly Government policy to improve customer service and provide an opportunity for relatives to seek further information about the death of a loved one in an acute hospital setting. A new relative-centred pathway has been developed. It offers a single point of contact for recently bereaved relatives and provides an opportunity to discuss any concerns or anxieties in relation to the care and/or treatment in the final hours of their loved one's life. The pathway includes a contact card with the name and number of a designated person and is a more informal, empathetic and person-centred service than the formal complaint process.

  1. Client Provider Collaboration for Service Bundling

    Directory of Open Access Journals (Sweden)

    LETIA, I. A.

    2008-04-01

    Full Text Available The key requirement for a service industry organization to reach competitive advantages through product diversification is the existence of a well defined method for building service bundles. Based on the idea that the quality of a service or its value is given by the difference between expectations and perceptions, we draw the main components of a frame that aims to support the client and the provider agent in an active collaboration meant to co-create service bundles. Following e3-value model, we structure the supporting knowledge around the relation between needs and satisfying services. We deal with different perspectives about quality through an ontological extension of Value Based Argumentation. The dialog between the client and the provider takes the form of a persuasion whose dynamic object is the current best configuration. Our approach for building service packages is a demand driven approach, allowing progressive disclosure of private knowledge.

  2. 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.

  3. 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...

  4. 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.

  5. 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

  6. JSTOR: Providing New Access to Old Research

    OpenAIRE

    K.M. Guthrie

    1998-01-01

    Much has transpired in a short period of time. The JSTOR database now includes well over two million pages from 47 core journals in 11 academic disciplines. Additional journal content is being digitized at a rate of approximately 100,000 pages per month. More than 250 libraries in the United States and Canada have become participating institutions, providing support for the creation, maintenance and growth of this database. Outside of North America, we have recently announced the establishmen...

  7. 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...

  8. 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.

  9. 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.

  10. Particle algorithms for optimization on binary spaces

    CERN Document Server

    Schäfer, Christian

    2011-01-01

    We propose a general sequential Monte Carlo approach for optimization of pseudo-Boolean objective functions. There are three aspects we particularly address in this work. First, we give a unified approach to stochastic optimization based on sequential Monte Carlo techniques, including the cross-entropy method and simulated annealing as special cases. Secondly, we point out the need for auxiliary sampling distributions, that is parametric families on binary spaces, which are able to reproduce complex dependency structures. We discuss some known and novel binary parametric families and illustrate their usefulness in our numerical experiments. Finally, we provide numerical evidence that particle-driven optimization algorithms yield superior results on strongly multimodal optimization problems while local search heuristics outperform them on easier problems.

  11. An Optimal Algorithm for Linear Bandits

    CERN Document Server

    Cesa-Bianchi, Nicolò

    2011-01-01

    We provide the first algorithm for online bandit linear optimization whose regret after T rounds is of order sqrt{Td ln N} on any finite class X of N actions in d dimensions, and of order d*sqrt{T} (up to log factors) when X is infinite. These bounds are not improvable in general. The basic idea utilizes tools from convex geometry to construct what is essentially an optimal exploration basis. We also present an application to a model of linear bandits with expert advice. Interestingly, these results show that bandit linear optimization with expert advice in d dimensions is no more difficult (in terms of the achievable regret) than the online d-armed bandit problem with expert advice (where EXP4 is optimal).

  12. 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.

  13. Multidisciplinary optimization of a butterfly valve.

    Science.gov (United States)

    Song, Xue Guan; Wang, Lin; Baek, Seok Heum; Park, Young Chul

    2009-07-01

    A butterfly valve is a type of flow control device, typically used to regulate fluid flow. This paper proposes a new process to meet desired needs in valve design that is characterized by the complex configuration. First, the need is identified according to the valve user/company, and then the problem is defined with a characteristic function. Second, the initial model of valve is made, and then the initial analysis including fluid and/or structural analysis is carried out to predict the fluid and/or structural performance of the valve. Third, the optimization in the form of mathematical functions, which considers single or multiple objective and/or discipline, is handled. This part includes the design of computer experiment, approximation technique, topology optimization and sizing optimization. Finally, the validation experiment is conducted based on the optimum result to verify the accuracy of the optimization. An example is provided to confirm the availability of the process proposed here.

  14. 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.

  15. 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.

  16. Optimized dynamical decoupling via genetic algorithms

    Science.gov (United States)

    Quiroz, Gregory; Lidar, Daniel A.

    2013-11-01

    We utilize genetic algorithms aided by simulated annealing 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 that 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.

  17. Turbomachinery Airfoil Design Optimization Using Differential Evolution

    Science.gov (United States)

    Madavan, Nateri K.; Biegel, Bryan (Technical Monitor)

    2002-01-01

    An aerodynamic design optimization procedure that is based on a evolutionary algorithm known at Differential Evolution is described. Differential Evolution is a simple, fast, and robust evolutionary strategy that has been proven effective in determining the global optimum for several difficult optimization problems, including highly nonlinear systems with discontinuities and multiple local optima. The method is combined with a Navier-Stokes solver that evaluates the various intermediate designs and provides inputs to the optimization procedure. An efficient constraint handling mechanism is also incorporated. Results are presented for the inverse design of a turbine airfoil from a modern jet engine and compared to earlier methods. The capability of the method to search large design spaces and obtain the optimal airfoils in an automatic fashion is demonstrated. Substantial reductions in the overall computing time requirements are achieved by using the algorithm in conjunction with neural networks.

  18. Annual Energy Production (AEP) optimization for tidal power plants based on Evolutionary Algorithms - Swansea Bay Tidal Power Plant AEP optimization

    Science.gov (United States)

    Kontoleontos, E.; Weissenberger, S.

    2016-11-01

    In order to be able to predict the maximum Annual Energy Production (AEP) for tidal power plants, an advanced AEP optimization procedure is required for solving the optimization problem which consists of a high number of design variables and constraints. This efficient AEP optimization procedure requires an advanced optimization tool (EASY software) and an AEP calculation tool that can simulate all different operating modes of the units (bidirectional turbine, pump and sluicing mode). The EASY optimization software is a metamodel-assisted Evolutionary Algorithm (MAEA) that can be used in both single- and multi-objective optimization problems. The AEP calculation tool, developed by ANDRITZ HYDRO, in combination with EASY is used to maximize the tidal annual energy produced by optimizing the plant operation throughout the year. For the Swansea Bay Tidal Power Plant project, the AEP optimization along with the hydraulic design optimization and the model testing was used to evaluate all different hydraulic and operating concepts and define the optimal concept that led to a significant increase of the AEP value. This new concept of a triple regulated “bi-directional bulb pump turbine” for Swansea Bay Tidal Power Plant (16 units, nominal power above 320 MW) along with its AEP optimization scheme will be presented in detail in the paper. Furthermore, the use of an online AEP optimization during operation of the power plant, that will provide the optimal operating points to the control system, will be also presented.

  19. 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

  20. Zika Virus: Critical Information for Emergency Providers.

    Science.gov (United States)

    Shastry, Siri; Koenig, Kristi L; Hirshon, Jon Mark

    2016-08-01

    Zika virus is an arbovirus of the Flaviviridae family. It is primarily a minimally symptomatic mosquito-borne infection. However, with Zika's 2015 to 2016 introduction into the Western Hemisphere and its dramatic and rapid spread, it has become a public health concern, in large part due to congenital abnormalities associated with infection in pregnant women. In early 2016, the World Health Organization declared the microcephaly and other neurologic conditions associated with Zika virus infection a public health emergency of international concern. This article discusses the current epidemiologic and clinical understanding of Zika virus, focusing on critical information needed by emergency providers.

  1. [In-patient smoker? - Providing appropriate intervention].

    Science.gov (United States)

    Pamplona, Paula

    2007-01-01

    Tobacco use is the most avoidable cause of death. Other than provoking multiple diseases requiring hospitalisation, Tobacco Use is also a disease requiring management in the hospital setting, not only in terms of controlling the withdrawal symptoms of the patient, who has been abruptly prohibited from smoking, but also for fulfilling legislation which prohibits tobacco use in the health services, the only efficient way of preventing exposure of non-smokers to environmental tobacco smoke. Treating the in-patient smoker in an appropriate way also provides a window of opportunity for promoting not just a temporary but a complete smoking cessation.

  2. Extinction-Optimized Volume Illumination.

    Science.gov (United States)

    Ament, Marco; Zirr, Tobias; Dachsbacher, Carsten

    2016-05-16

    We present a novel method to optimize the attenuation of light for the single scattering model in direct volume rendering. A common problem of single scattering is the high dynamic range between lit and shadowed regions due to the exponential attenuation of light along a ray. Moreover, light is often attenuated too strong between a sample point and the camera, hampering the visibility of important features. Our algorithm employs an importance function to selectively illuminate important structures and make them visible from the camera. With the importance function, more light can be transmitted to the features of interest, while contextual structures cast shadows which provide visual cues for perception of depth. At the same time, more scattered light is transmitted from the sample point to the camera to improve the primary visibility of important features. We formulate a minimization problem that automatically determines the extinction along a view or shadow ray to obtain a good balance between sufficient transmittance and attenuation. In contrast to previous approaches, we do not require a computationally expensive solution of a global optimization, but instead provide a closed-form solution for each sampled extinction value along a view or shadow ray and thus achieve interactive performance.

  3. Moon Landing Trajectory Optimization

    Directory of Open Access Journals (Sweden)

    Ibrahim Mustafa MEHEDI

    2016-03-01

    Full Text Available Trajectory optimization is a crucial process during the planning phase of a spacecraft landing mission. Once a trajectory is determined, guidance algorithms are created to guide the vehicle along the given trajectory. Because fuel mass is a major driver of the total vehicle mass, and thus mission cost, the objective of most guidance algorithms is to minimize the required fuel consumption. Most of the existing algorithms are termed as “near-optimal” regarding fuel expenditure. The question arises as to how close to optimal are these guidance algorithms. To answer this question, numerical trajectory optimization techniques are often required. With the emergence of improved processing power and the application of new methods, more direct approaches may be employed to achieve high accuracy without the associated difficulties in computation or pre-existing knowledge of the solution. An example of such an approach is DIDO optimization. This technique is applied in the current research to find these minimum fuel optimal trajectories.

  4. Optimized Kernel Entropy Components.

    Science.gov (United States)

    Izquierdo-Verdiguier, Emma; Laparra, Valero; Jenssen, Robert; Gomez-Chova, Luis; Camps-Valls, Gustau

    2016-02-25

    This brief addresses two main issues of the standard kernel entropy component analysis (KECA) algorithm: the optimization of the kernel decomposition and the optimization of the Gaussian kernel parameter. KECA roughly reduces to a sorting of the importance of kernel eigenvectors by entropy instead of variance, as in the kernel principal components analysis. In this brief, we propose an extension of the KECA method, named optimized KECA (OKECA), that directly extracts the optimal features retaining most of the data entropy by means of compacting the information in very few features (often in just one or two). The proposed method produces features which have higher expressive power. In particular, it is based on the independent component analysis framework, and introduces an extra rotation to the eigen decomposition, which is optimized via gradient-ascent search. This maximum entropy preservation suggests that OKECA features are more efficient than KECA features for density estimation. In addition, a critical issue in both the methods is the selection of the kernel parameter, since it critically affects the resulting performance. Here, we analyze the most common kernel length-scale selection criteria. The results of both the methods are illustrated in different synthetic and real problems. Results show that OKECA returns projections with more expressive power than KECA, the most successful rule for estimating the kernel parameter is based on maximum likelihood, and OKECA is more robust to the selection of the length-scale parameter in kernel density estimation.

  5. Optimization of Heat Exchangers

    Energy Technology Data Exchange (ETDEWEB)

    Ivan Catton

    2010-10-01

    The objective of this research is to develop tools to design and optimize heat exchangers (HE) and compact heat exchangers (CHE) for intermediate loop heat transport systems found in the very high temperature reator (VHTR) and other Generation IV designs by addressing heat transfer surface augmentation and conjugate modeling. To optimize heat exchanger, a fast running model must be created that will allow for multiple designs to be compared quickly. To model a heat exchanger, volume averaging theory, VAT, is used. VAT allows for the conservation of mass, momentum and energy to be solved for point by point in a 3 dimensional computer model of a heat exchanger. The end product of this project is a computer code that can predict an optimal configuration for a heat exchanger given only a few constraints (input fluids, size, cost, etc.). As VAT computer code can be used to model characteristics )pumping power, temperatures, and cost) of heat exchangers more quickly than traditional CFD or experiment, optimization of every geometric parameter simultaneously can be made. Using design of experiment, DOE and genetric algorithms, GE, to optimize the results of the computer code will improve heat exchanger disign.

  6. 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.

  7. 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 this pro......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...... this problem. In order to develop a symbiotic relationship between the SCs and their ESPs and to support effective power management at all levels, it is critical to understand and analyze how the existing relationships were formed and how these are expected to evolve. In this paper, we first present results...... from a detailed, quantitative survey-based analysis and compare the perspectives of the European grid and SCs to the ones of the United States (US). We then show that contrary to the expectation, SCs in the US are more open toward cooperating and developing demand-management strategies with their ESPs...

  8. Building a safe care-providing robot.

    Science.gov (United States)

    Fotoohi, Leila; Gräser, Axel

    2011-01-01

    A service robot especially a care-providing robot, works in the vicinity of a human body and is sometimes even in direct contact with it. Conventional safety methods and precautions in industrial robotics are not applicable to such robots. This paper presents a safety approach for designing the safe care-providing robot FRIEND. The approach is applied in each step of design iteratively to identify and assess the potential hazards during design. The steps are explained briefly in this work. The main contribution of this paper is verification of safety requirements using the Ramadge-Wonham (RW) framework. The greater complexity of the tasks the robot will perform, the more complex is the identification of safety requirements. Use of this framework led us to analyze the requirements and verify them formally, systematically and on a modular basis. In our approach human-robot interaction (HRI) is also modeled by a set of uncontrolled events that may happen any time during operation. Subsequently the safety requirements are modified to consider these interactions. As a result the safety module behaves like a controller, running in parallel with the system, which maintains the system safe and works according to the safety requirements by enabling the admissible sequences of events.

  9. Green roofs provide habitat for urban bats

    Directory of Open Access Journals (Sweden)

    K.L. Parkins

    2015-07-01

    Full Text Available Understanding bat use of human-altered habitat is critical for developing effective conservation plans for this ecologically important taxon. Green roofs, building rooftops covered in growing medium and vegetation, are increasingly important conservation tools that make use of underutilized space to provide breeding and foraging grounds for urban wildlife. Green roofs are especially important in highly urbanized areas such as New York City (NYC, which has more rooftops (34% than green space (13%. To date, no studies have examined the extent to which North American bats utilize urban green roofs. To investigate the role of green roofs in supporting urban bats, we monitored bat activity using ultrasonic recorders on four green and four conventional roofs located in highly developed areas of NYC, which were paired to control for location, height, and local variability in surrounding habitat and species diversity. We then identified bat vocalizations on these recordings to the species level. We documented the presence of five of nine possible bat species over both roof types: Lasiurus borealis, L. cinereus, L. noctivagans, P. subflavus,andE. fuscus. Of the bat calls that could be identified to the species level, 66% were from L. borealis. Overall levels of bat activity were higher over green roofs than over conventional roofs. This study provides evidence that, in addition to well documented ecosystem benefits, urban green roofs contribute to urban habitat availability for several North American bat species.

  10. Social capital and trust in providers.

    Science.gov (United States)

    Ahern, Melissa M; Hendryx, Michael S

    2003-10-01

    Trust in providers has been in decline in recent decades. This study attempts to identify sources of trust in characteristics of health care systems and the wider community. The design is cross-sectional. Data are from (1) the 1996 Household Survey of the Community Tracking Study, drawn from 24 Metropolitan Statistical Areas; (2) a 1996 multi-city broadcast media marketing database including key social capital indicators; (3) Interstudy; (4) the American Hospital Association; and (5) the American Medical Association. Independent variables include individual socio-demographic variables, HMO enrollment, community-level health sector variables, and social capital. The dependent variable is self-reported trust in physicians. Data are merged from the various sources and analyzed using SUDAAN. Subjects include adults in the Household Survey who responded to the items on trust in physicians (N=17,653). Trust in physicians is independently predicted by community social capital (p<0.001). Trust is also negatively related to HMO enrollment and to many individual characteristics. The effect of HMOs is not uniform across all communities. Social capital plays a role in how health care is perceived by citizens, and how health care is delivered by providers. Efforts to build trust and collaboration in a community may improve trust in physicians, health care quality, access, and preserve local health care control.

  11. 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

  12. Fuzzy Multiobjective Traffic Light Signal Optimization

    Directory of Open Access Journals (Sweden)

    N. Shahsavari Pour

    2013-01-01

    Full Text Available Traffic congestion is a major concern for many cities throughout the world. In a general traffic light controller, the traffic lights change at a constant cycle time. Hence it does not provide an optimal solution. Many traffic light controllers in current use are based on the “time-of-the-day” scheme, which use a limited number of predetermined traffic light patterns and implement these patterns depending upon the time of the day. These automated systems do not provide an optimal control for fluctuating traffic volumes. In this paper, the fuzzy traffic light controller is used to optimize the control of fluctuating traffic volumes such as oversaturated or unusual load conditions. The problem is solved by genetic algorithm, and a new defuzzification method is introduced. The performance of the new defuzzification method (NDM is compared with the centroid point defuzzification method (CPDM by using ANOVA. Finally, an illustrative example is presented to show the competency of proposed algorithm.

  13. 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 $O(1/\\epsilon)$.

  14. 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.

  15. Dynamic optimization deterministic and stochastic models

    CERN Document Server

    Hinderer, Karl; Stieglitz, Michael

    2016-01-01

    This book explores discrete-time dynamic optimization and provides a detailed introduction to both deterministic and stochastic models. Covering problems with finite and infinite horizon, as well as Markov renewal programs, Bayesian control models and partially observable processes, the book focuses on the precise modelling of applications in a variety of areas, including operations research, computer science, mathematics, statistics, engineering, economics and finance. Dynamic Optimization is a carefully presented textbook which starts with discrete-time deterministic dynamic optimization problems, providing readers with the tools for sequential decision-making, before proceeding to the more complicated stochastic models. The authors present complete and simple proofs and illustrate the main results with numerous examples and exercises (without solutions). With relevant material covered in four appendices, this book is completely self-contained.

  16. Private provider participation in statewide immunization registries

    Directory of Open Access Journals (Sweden)

    Cowan Anne E

    2006-02-01

    Full Text Available Abstract Background Population-based registries have been promoted as an effective method to improve childhood immunization rates, yet rates of registry participation in the private sector are low. We sought to describe, through a national overview, the perspectives of childhood immunization providers in private practice regarding factors associated with participation or non-participation in immunization registries. Methods Two mailed surveys, one for 264 private practices identified as registry non-participants and the other for 971 identified as registry participants, from 15 of the 31 states with population-based statewide immunization registries. Frequency distributions were calculated separately for non-participants and participants regarding the physician-reported factors that influenced decisions related to registry participation. Pearson chi-square tests of independence were used to assess associations among categorical variables. Results Overall response rate was 62% (N = 756. Among non-participants, easy access to records of vaccines provided at other sites (N = 101, 68% and printable immunization records (N = 82, 55% were most often cited as "very important" potential benefits of a registry, while the most commonly cited barriers to participation were too much cost/staff time (N = 36, 38% and that the practice has its own system for recording and monitoring immunizations (N = 35, 37%. Among registry participants, most reported using the registry to input data on vaccines administered (N = 326, 87% and to review immunization records of individual patients (N = 302, 81%. A minority reported using it to assess their practice's immunization coverage (N = 110, 29% or generate reminder/recall notices (N = 54, 14%. Few participants reported experiencing "significant" problems with the registry; the most often cited was cost/staff time to use the registry (N = 71, 20%. Conclusion Most registry participants report active participation with few

  17. 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.

  18. Anxiety and unrealistic optimism.

    Science.gov (United States)

    Dewberry, C; Ing, M; James, S; Nixon, M; Richardson, S

    1990-04-01

    Substantial evidence suggest that people tend to be unrealistically optimistic that positive events will happen to them and that negative events will not. However, recent research indicates that under certain conditions they may be unrealistically pessimistic. Variations in the levels of optimism and pessimism experienced towards events are generally given cognitive explanations. A relation between optimism and pessimism and anxiety, a variable related to emotion as well as cognition, was investigated in the present study. An inverse correlation was found between how anxious female students in England felt about certain negative events and how unrealistically optimistic they were about the occurrence of those events. It was concluded that the degree of anxiety experienced toward a negative event may affect the level of unrealistic optimism or pessimism toward it.

  19. 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...

  20. Submodular functions and optimization

    CERN Document Server

    Fujishige, Satoru

    2005-01-01

    It has widely been recognized that submodular functions play essential roles in efficiently solvable combinatorial optimization problems. Since the publication of the 1st edition of this book fifteen years ago, submodular functions have been showing further increasing importance in optimization, combinatorics, discrete mathematics, algorithmic computer science, and algorithmic economics, and there have been made remarkable developments of theory and algorithms in submodular functions. The 2nd edition of the book supplements the 1st edition with a lot of remarks and with new two chapters: "Submodular Function Minimization" and "Discrete Convex Analysis." The present 2nd edition is still a unique book on submodular functions, which is essential to students and researchers interested in combinatorial optimization, discrete mathematics, and discrete algorithms in the fields of mathematics, operations research, computer science, and economics. Key features: - Self-contained exposition of the theory of submodular ...

  1. 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.

  2. Optimal Aging and Death

    DEFF Research Database (Denmark)

    Dalgaard, Carl-Johan Lars; Strulik, Holger

    2010-01-01

    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...... 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...

  3. Optimal Aging and Death

    DEFF Research Database (Denmark)

    Dalgaard, Carl-Johan Lars; Strulik, Holger

    2010-01-01

    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...... 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....

  4. Optimally segmented magnetic structures

    DEFF Research Database (Denmark)

    Insinga, Andrea Roberto; Bahl, Christian; Bjørk, Rasmus;

    ], or are applicable only to analytically solvable geometries[4]. In addition, some questions remained fundamentally unanswered, such as how to segment a given design into N uniformly magnetized pieces.Our method calculates the globally optimal shape and magnetization direction of each segment inside a certain......We present a semi-analytical algorithm for magnet design problems, which calculates the optimal way to subdivide a given design region into uniformly magnetized segments.The availability of powerful rare-earth magnetic materials such as Nd-Fe-B has broadened the range of applications of permanent...... designarea with an optional constraint on the total amount of magnetic material. The method can be applied to any objective functional which is linear respect to the field, and with any combination of linear materials. Being based on an analytical-optimization approach, the algorithm is not computationally...

  5. Optimization by record dynamics

    DEFF Research Database (Denmark)

    Barettin, Daniele; Sibani, Paolo

    2014-01-01

    Large dynamical changes in thermalizing glassy systems are triggered by trajectories crossing record sized barriers, a behavior revealing the presence of a hierarchical structure in configuration space. The observation is here turned into a novel local search optimization algorithm dubbed record...... dynamics optimization,or RDO. RDO uses the Metropolis rule to accept or reject candidate solutions depending on the value of a parameter akin to the temperature and minimizes the cost function of the problem at hand through cycles where its ‘temperature’ is raised and subsequently decreased in order...... to expediently generate record high (and low) values of the cost function. Below, RDO is introduced and then tested by searching for the ground state of the Edwards–Anderson spin-glass model, in two and three spatial dimensions. A popularand highly efficient optimization algorithm, parallel tempering (PT...

  6. 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.

  7. Optimal Composite Curing System

    Science.gov (United States)

    Handel, Paul; Guerin, Daniel

    The Optimal Composite Curing System (OCCS) is an intelligent control system which incorporates heat transfer and resin kinetic models coupled with expert knowledge. It controls the curing of epoxy impregnated composites, preventing part overheating while maintaining maximum cure heatup rate. This results in a significant reduction in total cure time over standard methods. The system uses a cure process model, operating in real-time, to determine optimal cure profiles for tool/part configurations of varying thermal characteristics. These profiles indicate the heating and cooling necessary to insure a complete cure of each part in the autoclave in the minimum amount of time. The system coordinates these profiles to determine an optimal cure profile for a batch of thermally variant parts. Using process specified rules for proper autoclave operation, OCCS automatically controls the cure process, implementing the prescribed cure while monitoring the operation of the autoclave equipment.

  8. 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.

  9. 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...

  10. 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.

  11. 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.

  12. Discrete Variational Optimal Control

    Science.gov (United States)

    Jiménez, Fernando; Kobilarov, Marin; Martín de Diego, David

    2013-06-01

    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, and 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 examples and a practical one, the control of an underwater vehicle, illustrate the application of the proposed approach.

  13. 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.

  14. Development of Model for Providing Feasible Scholarship

    Directory of Open Access Journals (Sweden)

    Harry Dhika

    2016-05-01

    Full Text Available The current work focuses on the development of a model to determine a feasible scholarship recipient on the basis of the naiv¨e Bayes’ method using very simple and limited attributes. Those attributes are the applicants academic year, represented by their semester, academic performance, represented by their GPa, socioeconomic ability, which represented the economic capability to attend a higher education institution, and their level of social involvement. To establish and evaluate the model performance, empirical data are collected, and the data of 100 students are divided into 80 student data for the model training and the remaining of 20 student data are for the model testing. The results suggest that the model is capable to provide recommendations for the potential scholarship recipient at the level of accuracy of 95%.

  15. Providing Virtual Execution Environments: A Twofold Illustration

    CERN Document Server

    Grehant, Xavier

    2008-01-01

    Platform virtualization helps solving major grid computing challenges: share resource with flexible, user-controlled and custom execution environments and in the meanwhile, isolate failures and malicious code. Grid resource management tools will evolve to embrace support for virtual resource. We present two open source projects that transparently supply virtual execution environments. Tycoon has been developed at HP Labs to optimise resource usage in creating an economy where users bid to access virtual machines and compete for CPU cycles. SmartDomains provides a peer-to-peer layer that automates virtual machines deployment using a description language and deployment engine from HP Labs. These projects demonstrate both client-server and peer-to-peer approaches to virtual resource management. The first case makes extensive use of virtual machines features for dynamic resource allocation. The second translates virtual machines capabilities into a sophisticated language where resource management components can b...

  16. Providing better indoor environmental quality brings economicbenefits

    Energy Technology Data Exchange (ETDEWEB)

    Fisk, William; Seppanen, Olli

    2007-06-01

    This paper summarizes the current scientific evidence that improved indoor environmental quality can improve work performance and health. The review indicates that work and school work performance is affected by indoor temperature and ventilation rate. Pollutant source removal can sometimes improve work performance. Based on formal statistical analyses of existing research results, quantitative relationships are provided for the linkages of work performance with indoor temperature and outdoor air ventilation rate. The review also indicates that improved health and related financial savings are obtainable from reduced indoor tobacco smoking, prevention and remediation of building dampness, and increased ventilation. Example cost-benefit analyses indicate that many measures to improve indoor temperature control and increase ventilation rates will be highly cost effective, with benefit-cost ratios as high as 80 and annual economic benefits as high as $700 per person.

  17. International Entry Modes for Digital Product Providers

    DEFF Research Database (Denmark)

    Rask, Morten

    Often internationalization of the firm refers to the process of increasing involvement in international operations. In relation to e-business many authors have argued that e-business will change the internationalization processes. E-business is about digitalization of processes, products and actors...... and many think that because these digitalisations, the importance of localization diminish, especially for what we call digital product providers that sells digitized products and services. The empirical foundation of this paper consists of an inductive explorative case-study that serves as a challenger...... (Fredsted, 2003). The case study gives insight into one of the few international marketplaces. Scanmarket has expanded to the English, German, American and Swedish markets. Essentially the case raises the question: "To what extent does the Internet supersede firms' need for local, physical presence?"...

  18. Perioperative Care of Prisoners: Providing Safe Care.

    Science.gov (United States)

    Smith, Francis Duval

    2016-03-01

    Correctional nurses are trained to care for prisoners in a controlled security environment; however, when a convict is transferred to a noncorrectional health care facility, the nurses there are often unfamiliar with custody requirements or how to safely care for these patients. The care of prisoners outside of prison has not been adequately investigated, and a gap exists between research and nursing education and practice. Nurses rarely have to consider how providing care for a prisoner in custody affects their practice, the potential dissonance between routine nursing care and the requirements to maintain security, or that care of prisoners in unsecured clinical areas places the nurse and other personnel at risk for physical assault or prisoner escape. Educating perioperative nurses in the care of prisoners in a public hospital environment is important for the provision of safe care and prevention of physical and emotional repercussions to personnel.

  19. Multicultural Nursing: Providing Better Employee Care.

    Science.gov (United States)

    Rittle, Chad

    2015-12-01

    Living in an increasingly multicultural society, nurses are regularly required to care for employees from a variety of cultural backgrounds. An awareness of cultural differences focuses occupational health nurses on those differences and results in better employee care. This article explores the concept of culturally competent employee care, some of the non-verbal communication cues among cultural groups, models associated with completing a cultural assessment, and how health disparities in the workplace can affect delivery of employee care. Self-evaluation of the occupational health nurse for personal preferences and biases is also discussed. Development of cultural competency is a process, and occupational health nurses must develop these skills. By developing cultural competence, occupational health nurses can conduct complete cultural assessments, facilitate better communication with employees from a variety of cultural backgrounds, and improve employee health and compliance with care regimens. Tips and guidelines for facilitating communication between occupational health nurses and employees are also provided.

  20. Multiagency Initiative to Provide Greenhouse Gas Information

    Science.gov (United States)

    Boland, Stacey W.; Duren, Riley M.

    2009-11-01

    Global Greenhouse Gas Information System Workshop; Albuquerque, New Mexico, 20-22 May 2009; The second Greenhouse Gas Information System (GHGIS) workshop brought together 74 representatives from 28 organizations including U.S. government agencies, national laboratories, and members of the academic community to address issues related to the understanding, operational monitoring, and tracking of greenhouse gas emissions and carbon offsets. The workshop was held at Sandia National Laboratories and organized by an interagency collaboration among NASA centers, Department of Energy laboratories, and the U.S. National Oceanic and Atmospheric Administration. It was motivated by the perceived need for an integrated interagency, community-wide initiative to provide information about greenhouse gas sources and sinks at policy-relevant temporal and spatial scales. Such an initiative could significantly enhance the ability of national and regional governments, industry, and private citizens to implement and evaluate effective climate change mitigation policies.

  1. Do drug advertisements provide therapeutic information?

    Science.gov (United States)

    Stimson, G V

    1977-03-01

    In this study of advertisements appearing in medical periodicals and by direct mail advertising to general practitioners, Dr. Stimson, a sociologist, concludes that from what is intended to provide therapeutic information hardly any therapeutic information is provided. He reminds the reader of the safeguards which surround all drug advertising by law and by the code of practice of the Association of the British Pharmaceutical Industry but these safeguards do not appear to control real or potential sins of omission. Frequently in these advertisements the literature relating to the drug is quoted but Dr. Stimson found that it was difficult to trace all the papers quoted in different types of medical library. (Some references quoted were to unpublished papers but surely the blame should be shared in this situation?) Dr. Stimson also gives a vivid and fascinating glimpse of what he calls the 'images and stereotypes' of the patients who, it is claimed, would benefit from the drug being advertised. Certainly most general practitioners must be aware that when they prescribe that image is displaced by an individual but the portrait gallery is indeed depressing. However, to balance these advertisements drug companies issue data sheets which must be more informative than advertisements and conform to regulations in their format. Unfortunately data sheets are only issued every 15 months whereas the 'average general practitioner is potentially exposed to 1,300 advertisements every month'. In other words, the data sheet and not the advertisement should be the guideline but it arrives too infrequently to offset the lack of therapeutic information contained in advertisements.

  2. Optimization of Truss Height

    Directory of Open Access Journals (Sweden)

    Tomas Ulitinas

    2011-04-01

    Full Text Available The article analyzes the task in truss height and in the optimization of the cross-sections of their elements. Element cross-sections are designed of steel profiles considering requirements for strength, stability and rigidity. A mathematical model is formulated as a nonlinear mathematical programming problem. It is solved as an iterative process, using mathematical software package “MATLAB” routine “fmincon”. The ratio of buckling is corrected in the each iteration. Optimization results are compared with those obtained applying software package “Robot Millennium”.Article in Lithuanian

  3. 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...... to benefit from their personal preferences and to remain rational actors in the financial market....

  4. 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...

  5. 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

  6. 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.

  7. 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

  8. 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.

  9. Optimally segmented permanent magnet structures

    DEFF Research Database (Denmark)

    Insinga, Andrea Roberto; Bjørk, Rasmus; Smith, Anders

    2016-01-01

    We present an optimization approach which can be employed to calculate the globally optimal segmentation of a two-dimensional magnetic system into uniformly magnetized pieces. For each segment the algorithm calculates the optimal shape and the optimal direction of the remanent flux density vector...

  10. Duality based contact shape optimization

    DEFF Research Database (Denmark)

    Vondrák, Vít; Dostal, Zdenek; Rasmussen, John

    2001-01-01

    An implementation of semi-analytic method for the sensitivity analysis in contact shape optimization without friction is described. This method is then applied to the contact shape optimization.......An implementation of semi-analytic method for the sensitivity analysis in contact shape optimization without friction is described. This method is then applied to the contact shape optimization....

  11. 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.

  12. 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%.

  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...

  14. A New Approach to Optimal Cell Synthesis

    DEFF Research Database (Denmark)

    Madsen, Jan

    1989-01-01

    A set of algorithms is presented for optimal layout generation of CMOS complex gates. The algorithms are able to handle global physical constraints, such as pin placement, and to capture timing aspects. Results show that this novel approach provides better solutions in area and speed compared t...

  15. Graphic Interface for LCP2 Optimization Program

    DEFF Research Database (Denmark)

    Nicolae, Taropa Laurentiu; Gaunholt, Hans

    1998-01-01

    This report provides information about the software interface that is programmed for the Optimization Program LCP2. The first part is about the general description of the program followed by a guide for using the interface. The last chapters contain a discussion about problems or futute extension...

  16. 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.

  17. 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.

  18. Optimal parking orbits for manned Mars missions

    Science.gov (United States)

    Cupples, Michael L.; Nordwall, Jill A.

    This paper summarizes a Mars parking orbit optimization effort. This parking orbit study includes the selection of optimal elliptic Mars parking orbits that meet mission constraints and that include pertinent apsidal misalignment losses. Mars missions examined are for the opportunity years of 2014, 2016, and 2018. For these mission opportunities, it is shown that the optimal parking orbits depend on the year that the mission occurs and are coupled with the outbound, Mars stay, and return phases of the mission. Constraints included in the parking orbit optimization process are periapsis lighting angle (related to a daylight landing requirement), periapsis latitude (related to a landing latitude range requirement) and the vehicle Trans-Earth-Injection stage mass. Also, effects of mission abort requirements on optimal parking orbits are investigated. Off-periapsis maneuvers for Mars orbit capture were found to be cost effective in reducing the mission delta-V for the 2016 abort from Mars capture scenario. The total capture and departure delta-V was `split' between the capture maneuver and the departure maneuver to reduce the 2016 Mars departure delta-V to below the level of the corresponding stage of the 2014 baseline mission. Landing results are provided that show Mars landing site access from the optimal elliptic parking orbits for Mars excursion vehicles with low (0.2) and high (1.3 and 1.6) lift to drag ratio.

  19. Optimal control problems with switching points

    Science.gov (United States)

    Seywald, Hans

    1991-09-01

    An overview is presented of the problems and difficulties that arise in solving optimal control problems with switching points. A brief discussion of existing optimality conditions is given and a numerical approach for solving the multipoint boundary value problems associated with the first-order necessary conditions of optimal control is presented. Two real-life aerospace optimization problems are treated explicitly. These are altitude maximization for a sounding rocket (Goddard Problem) in the presence of a dynamic pressure limit, and range maximization for a supersonic aircraft flying in the vertical, also in the presence of a dynamic pressure limit. In the second problem singular control appears along arcs with active dynamic pressure limit, which in the context of optimal control, represents a first-order state inequality constraint. An extension of the Generalized Legendre-Clebsch Condition to the case of singular control along state/control constrained arcs is presented and is applied to the aircraft range maximization problem stated above. A contribution to the field of Jacobi Necessary Conditions is made by giving a new proof for the non-optimality of conjugate paths in the Accessory Minimum Problem. Because of its simple and explicit character, the new proof may provide the basis for an extension of Jacobi's Necessary Condition to the case of the trajectories with interior point constraints. Finally, the result that touch points cannot occur for first-order state inequality constraints is extended to the case of vector valued control functions.

  20. Optimal Control Development System for Electrical Drives

    Directory of Open Access Journals (Sweden)

    Marian GAICEANU

    2008-08-01

    Full Text Available In this paper the optimal electrical drive development system is presented. It consists of both electrical drive types: DC and AC. In order to implement the optimal control for AC drive system an Altivar 71 inverter, a Frato magnetic particle brake (as load, three-phase induction machine, and dSpace 1104 controller have been used. The on-line solution of the matrix Riccati differential equation (MRDE is computed by dSpace 1104 controller, based on the corresponding feedback signals, generating the optimal speed reference for the AC drive system. The optimal speed reference is tracked by Altivar 71 inverter, conducting to energy reduction in AC drive. The classical control (consisting of rotor field oriented control with PI controllers and the optimal one have been implemented by designing an adequate ControlDesk interface. The three-phase induction machine (IM is controlled at constant flux. Therefore, the linear dynamic mathematical model of the IM has been obtained. The optimal control law provides transient regimes with minimal energy consumption. The obtained solution by integration of the MRDE is orientated towards the numerical implementation-by using a zero order hold. The development system is very useful for researchers, doctoral students or experts training in electrical drive. The experimental results are shown.

  1. PROVIDING BUDGET CREDITS TO RUSSIAN REGIONS

    Directory of Open Access Journals (Sweden)

    L. A. Gelyakhova

    2016-01-01

    Full Text Available The state budget of the Russian Federation can be called the primary means of accumulating financial resources in the country. Giving cash is seen as a measure to prevent the country's financial crisis. Public lending is its basic form. Nevertheless, in spite of the scientific and practical significance of the Russian Federation Public Credit, the issue has not been studied. These circumstances suggest that there are many unresolved issues in the field of public credit Russian Federation.Relevance of the topic of this article is revealed when considering the peculiarities of the legal regulation of public credit of the Russian Federation. In this article the author attempts to develop a series of recommendations to improve legislation at both the federal and regional levels. The growth of the budget deficit in the Russian Federation determines the need to find all the possible sources of financing, the most important of which acts as a budget loan, which refers to "funds provided by the budget to another budget of the budget system, the legal entity (except for state (municipal institutions, a foreign state, foreign legal entity on a returnable and paid basis "(art. 6 of the Budget Code of the Russian Federation [1]. 

  2. PROVIDING R-TREE SUPPORT FOR MONGODB

    Directory of Open Access Journals (Sweden)

    L. Xiang

    2016-06-01

    Full Text Available Supporting large amounts of spatial data is a significant characteristic of modern databases. However, unlike some mature relational databases, such as Oracle and PostgreSQL, most of current burgeoning NoSQL databases are not well designed for storing geospatial data, which is becoming increasingly important in various fields. In this paper, we propose a novel method to provide R-tree index, as well as corresponding spatial range query and nearest neighbour query functions, for MongoDB, one of the most prevalent NoSQL databases. First, after in-depth analysis of MongoDB’s features, we devise an efficient tabular document structure which flattens R-tree index into MongoDB collections. Further, relevant mechanisms of R-tree operations are issued, and then we discuss in detail how to integrate R-tree into MongoDB. Finally, we present the experimental results which show that our proposed method out-performs the built-in spatial index of MongoDB. Our research will greatly facilitate big data management issues with MongoDB in a variety of geospatial information applications.

  3. Family benefits - Obligation to provide information

    CERN Multimedia

    HR Department

    2015-01-01

    Pursuant to Article R V 1.38 of the Staff Regulations, members of the personnel are reminded that they are required to inform the Organization in writing, within 30 calendar days, of any change in their family situation (marriage, partnership, birth of a child, etc.) and of the amount of any financial benefit of a similar nature to those provided for in the Staff Regulations (e.g. family allowance, child allowance, infant allowance, non-resident allowance or international indemnity) to which they or a member of their family may be entitled from a source other than CERN.   The procedures to be followed are available in the Admin e-guide: https://admin-eguide.web.cern.ch/en/procedure/change-family-situation Members of the personnel are also reminded that any false declaration or failure to make a declaration with a view to deceiving others or achieving a gain resulting in a loss of funds or reputation for CERN constitutes fraud and may lead to disciplinary action in accordance with Article S ...

  4. Dental practice satisfaction with preferred provider organizations

    Directory of Open Access Journals (Sweden)

    Schilling Elizabeth A

    2007-11-01

    Full Text Available Abstract Background Despite their increasing share of the dental insurance market, little is known about dental practices' satisfaction with preferred provider organizations (PPOs. This analysis examined practice satisfaction with dental PPOs and the extent to which satisfaction was a function of communications from the plan, claims handling and compensation. Methods Data were collected through telephone surveys with dental practices affiliated with MetLife between January 2002 and December 2004. Each respondent was asked a series of questions related to their satisfaction with a systematically selected PPO with which they were affiliated. Six different PPO plans had sufficient observations to allow for comparative analysis (total n = 4582. Multiple imputation procedures were used to adjust for item non-response. Results While the average level of overall satisfaction with the target plan fell between "very satisfied" and "satisfied," regression models revealed substantial differences in overall satisfaction across the 6 PPOs (p Conclusion Results demonstrate the importance of compensation to dental practice satisfaction with PPOs. However, these results also highlight the critical role of service-related factors in differentiating plans and suggest that there are important non-monetary dimensions of PPO performance that can be used to recruit and retain practices.

  5. Contingency management: perspectives of Australian service providers.

    Science.gov (United States)

    Cameron, Jacqui; Ritter, Alison

    2007-03-01

    Given the very positive and extensive research evidence demonstrating efficacy and effectiveness of contingency management, it is important that Australia explore whether contingency management has a role to play in our own treatment context. Qualitative interviews were conducted with 30 experienced alcohol and drug practitioners, service managers and policy-makers in Victoria. Interviewees were selected to represent the range of drug treatment services types and included rural representation. A semi-structured interview schedule, covering their perceptions and practices of contingency management was used. All interviews were transcribed verbatim and analysed using N2 qualitative data analysis program. The majority of key informants were positively inclined toward contingency management, notwithstanding some concerns about the philosophical underpinnings. Concerns were raised in relation to the use of monetary rewards. Examples of the use of contingency management provided by key informants demonstrated an over-inclusive definition: all the examples did not adhere to the key principles of contingency management. This may create problems if a structured contingency management were to be introduced in Australia. Contingency management is an important adjunctive treatment intervention and its use in Australia has the potential to enhance treatment outcomes. No unmanageable barriers were identified in this study.

  6. Providing effective supervision in clinical neuropsychology.

    Science.gov (United States)

    Stucky, Kirk J; Bush, Shane; Donders, Jacobus

    2010-01-01

    A specialty like clinical neuropsychology is shaped by its selection of trainees, educational standards, expected competencies, and the structure of its training programs. The development of individual competency in this specialty is dependent to a considerable degree on the provision of competent supervision to its trainees. In clinical neuropsychology, as in other areas of professional health-service psychology, supervision is the most frequently used method for teaching a variety of skills, including assessment, report writing, differential diagnosis, and treatment. Although much has been written about the provision of quality supervision in clinical and counseling psychology, very little published guidance is available regarding the teaching and provision of supervision in clinical neuropsychology. The primary focus of this article is to provide a framework and guidance for the development of suggested competency standards for training of neuropsychological supervisors, particularly at the residency level. In this paper we outline important components of supervision for neuropsychology trainees and suggest ways in which clinicians can prepare for supervisory roles. Similar to Falender and Shafranske (2004), we propose a competency-based approach to supervision that advocates for a science-informed, formalized, and objective process that clearly delineates the competencies required for good supervisory practice. As much as possible, supervisory competencies are related to foundational and functional competencies in professional psychology, as well as recent legislative initiatives mandating training in supervision. It is our hope that this article will foster further discussion regarding this complex topic, and eventually enhance training in clinical neuropsychology.

  7. Providing R-Tree Support for Mongodb

    Science.gov (United States)

    Xiang, Longgang; Shao, Xiaotian; Wang, Dehao

    2016-06-01

    Supporting large amounts of spatial data is a significant characteristic of modern databases. However, unlike some mature relational databases, such as Oracle and PostgreSQL, most of current burgeoning NoSQL databases are not well designed for storing geospatial data, which is becoming increasingly important in various fields. In this paper, we propose a novel method to provide R-tree index, as well as corresponding spatial range query and nearest neighbour query functions, for MongoDB, one of the most prevalent NoSQL databases. First, after in-depth analysis of MongoDB's features, we devise an efficient tabular document structure which flattens R-tree index into MongoDB collections. Further, relevant mechanisms of R-tree operations are issued, and then we discuss in detail how to integrate R-tree into MongoDB. Finally, we present the experimental results which show that our proposed method out-performs the built-in spatial index of MongoDB. Our research will greatly facilitate big data management issues with MongoDB in a variety of geospatial information applications.

  8. The effect of provider- and workflow-focused strategies for guideline implementation on provider acceptance

    Directory of Open Access Journals (Sweden)

    Ramanujam Rangaraj

    2009-10-01

    Full Text Available Abstract Background The effective implementation of clinical practice guidelines (CPGs depends critically on the extent to which the strategies that are deployed for implementing the guidelines promote provider acceptance of CPGs. Such implementation strategies can be classified into two types based on whether they primarily target providers (e.g., academic detailing, grand rounds presentations or the work context (e.g., computer reminders, modifications to forms. This study investigated the independent and joint effects of these two types of implementation strategies on provider acceptance of CPGs. Methods Surveys were mailed to a national sample of providers (primary care physicians, physician assistants, nurses, and nurse practitioners and quality managers selected from Veterans Affairs Medical Centers (VAMCs. A total of 2,438 providers and 242 quality managers from 123 VAMCs participated. Survey items measured implementation strategies and provider acceptance (e.g., guideline-related knowledge, attitudes, and adherence for three sets of CPGs--chronic obstructive pulmonary disease, chronic heart failure, and major depressive disorder. The relationships between implementation strategy types and provider acceptance were tested using multi-level analytic models. Results For all three CPGs, provider acceptance increased with the number of implementation strategies of either type. Moreover, the number of workflow-focused strategies compensated (contributing more strongly to provider acceptance when few provider-focused strategies were used. Conclusion Provider acceptance of CPGs depends on the type of implementation strategies used. Implementation effectiveness can be improved by using both workflow-focused as well as provider-focused strategies.

  9. 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...

  10. 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...

  11. Optimizing Arteriovenous Fistula Maturation

    OpenAIRE

    2009-01-01

    Autogenous arteriovenous fistulas are the preferred vascular access in patients undergoing hemodialysis. Increasing fistula prevalence depends on increasing fistula placement, improving the maturation of fistula that fail to mature and enhancing the long-term patency of mature fistula. Percutaneous methods for optimizing arteriovenous fistula maturation will be reviewed.

  12. Optimization in liner shipping

    DEFF Research Database (Denmark)

    Brouer, Berit Dangaard; Karsten, Christian Vad; Pisinger, David

    2017-01-01

    Seaborne trade is the lynchpin in almost every international supply chain, and about 90% of non-bulk cargo worldwide is transported by container. In this survey we give an overview of data-driven optimization problems in liner shipping. Research in liner shipping is motivated by a need for handling...... research....

  13. 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.

  14. 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 ...

  15. 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…

  16. 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...

  17. Wind turbine pitch optimization

    DEFF Research Database (Denmark)

    Biegel, Benjamin; Juelsgaard, Morten; Stoustrup, Jakob

    2011-01-01

    for maximizing power production while simultaneously minimizing fatigue loads. In this paper, we show how this problem can be approximately solved using convex optimization. When there is full knowledge of the wind field, numerical simulations show that force and torque RMS variation can be reduced by over 96...

  18. Electricity supply contracts: Optimization

    Energy Technology Data Exchange (ETDEWEB)

    Rossi, G.; Vezzoni, M.; Grassani, E. (Sistemi Integrati per il Risparmio Energetico, Pavia (Italy) Necchi Compressori, Pavia (Italy))

    1991-10-01

    This paper presents a computer program, ACEE (Electrical Energy Consumption Analysis), developed to assist industrial firms in Italy to determine their electrical power consumption, optimize it through production process interventions, and then utilize the results to draft up optimum electricity supply contracts with ENEL (Italian National Electricity Board). The program also allows the user to properly budget future allocations for electricity costs.

  19. 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.

  20. Optimal central bank transparency

    NARCIS (Netherlands)

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

    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