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Sample records for bmt providing optimal

  1. PERCEPTUAL MAPPING DAN KORESPONDENSI PRODUK PEMBIAYAAN BMT DANA MENTARI PURWOKERTO

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    Yoiz Shofwa Safrani

    2016-11-01

    of line, in general management has orientation towards profit oriented.  That phenomena causing BMT should be compete with all different forms and structures of conventional financial institutions and Islamic financial institutions. The competition are to get the good customer for funding and financing. To win the competition, BMT prosecuted to provide optimal service to their customers. This field research aims to see the mapping of Funds Product of BMT Dana Mentari as the biggest BMT in Purwokerto among its competitors with multidimensional scalling analysis and correspondences. The result of spatial mapping was the BMT Khonsa is located on quadrant with a value of dimension 2 is positive and valued of dimension 1 is negative, BMT Dana Mentari is located on quadrant with a value of dimension 2 is positive and the value of dimension 2 is positive, BMT El Mentari is on a quadrant with a value of dimension 1 is negative and neither the values of dimensions 2, BMT Buana Emas is located on quadrant with the value of dimension 2 is negative and the values of dimension 2 is positive. The conclusion are each BMT are on the different quadrants so it doesn’t become a major competitor to the other and there are not similarities between BMT Dana Mentari with other BMT.

  2. Perlindungan Nasabah BMT Jika BMT Pailit (Taflis

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    Neni Sri Imaniyati

    2005-12-01

    Full Text Available BMT merupakan salah satu lembaga keuangan berbasis syariah yang merupakan cikal bakal lahirnya bank syariah di Indonesia. BMT memiliki peran dan fungsi yang sangat strategis dalam pemberdayaan masyarakat, pengusaha mikro dan pengusaha kecil. Makalah ini mengkaji bentuk usaha BMT, tanggung jawab pendiri dan pengurus BMT,  dan perlindungan nasabah penyimpan dana BMT jika BMT pailit.Dari hasil penelitian yang dilakukan, dapat disimpulkan bahwa bentuk hukum BMT ada dua, yaitu Kelompok Swadaya Masyarakat dan Koperasi. Tanggung jawab pendiri dan pengurus BMT dipengaruhi oleh bentuk usaha BMT. Tanggung jawab pendiri dan pengurus BMT yang berbentuk Kelompok Swadaya Masyarakat dan koperasi adalah sama, yaitu melakukan tindakan dan upaya bagi kepentingan dan kemanfaatan BMT. Namun terdapat perbedaan tanggung jawab jika BMT pailit, BMT yang merupakan KSM pendiri pengurus bertanggung jawab sampai harta kekayaan pribadi. Sedangkan pengurus dan pendiri BMT yang berbadan hukum koperasi sebagai badan hukum tanggung jawab pendiri dan pengurus terbatas sampai jumlah modal yang diserahkan. Perlindungan nasabah penyimpan dana pada BMT belum memadai dengan melihat pada ketentuan KUH Perdata, nasabah penyimpan dana pada BMT berkedudukan sebagai kreditur konkuren untuk mendapatkan haknya harus berbagi dengan kreditur lainnya setelah dana BMT yang tersisa dibagikan kepada kreditur preference.

  3. 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

  4. Lagrangian formulation of classical BMT-theory

    International Nuclear Information System (INIS)

    Pupasov-Maksimov, Andrey; Deriglazov, Alexei; Guzman, Walberto

    2013-01-01

    Full text: The most popular classical theory of electron has been formulated by Bargmann, Michel and Telegdi (BMT) in 1959. The BMT equations give classical relativistic description of a charged particle with spin and anomalous magnetic momentum moving in homogeneous electro-magnetic field. This allows to study spin dynamics of polarized beams in uniform fields. In particular, first experimental measurements of muon anomalous magnetic momentum were done using changing of helicity predicted by BMT equations. Surprisingly enough, a systematic formulation and the analysis of the BMT theory are absent in literature. In the present work we particularly fill this gap by deducing Lagrangian formulation (variational problem) for BMT equations. Various equivalent forms of Lagrangian will be discussed in details. An advantage of the obtained classical model is that the Lagrangian action describes a relativistic spinning particle without Grassmann variables, for both free and interacting cases. This implies also the possibility of canonical quantization. In the interacting case, an arbitrary electromagnetic background may be considered, which generalizes the BMT theory formulated to the case of homogeneous fields. The classical model has two local symmetries, which gives an interesting example of constrained classical dynamics. It is surprising, that the case of vanishing anomalous part of the magnetic momentum is naturally highlighted in our construction. (author)

  5. Allogeneic BMT and patient eligibility based on psychosocial criteria: a survey of BMT professionals.

    Science.gov (United States)

    Foster, L W; McLellan, L J; Rybicki, L A; Dabney, J; Welsh, E; Bolwell, B J

    2006-01-01

    BMT professionals were compared regarding their willingness to proceed with allogeneic BMT given select psychosocial issues. A questionnaire was sent to 660 physician members of ASBMT, 92 social work members of BMT Special Interest Group, Association of Oncology Social Work, and 626 nurse members of BMT Special Interest Group, Oncology Nursing Society; 597 responded with a response rate of 43.5%. Items included background information, followed by 17 case vignettes; each represented a different psychosocial issue to which respondents indicated whether or not they would recommend proceeding with allogeneic BMT. In every vignette, at least 10% of respondents indicated they would not proceed. In six vignettes, at least 64% indicated do not proceed: suicidal ideation (86.8%), uses addictive illicit drugs (81.7%), history of noncompliance (80.5%), no lay caregiver (69.3%), alcoholic (64.8%), and mild dementia/Alzheimer's (64.4%). In 10 vignettes, at least 73% indicated proceed. On four vignettes, professional subgroups differed in their recommendation on whether or not to proceed with allogeneic BMT. Qualitative data suggest that this decision is contingent on the perceived acuity, severity, and currency of the psychosocial issue, patient ability to comply with treatment given the issue, and its manageability as a risk factor for treatment related vulnerability and outcomes.

  6. Manajemen Risiko Pembiayaan Murabahah di BMT Amanah Ummah

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    Endro Wibowo

    2015-12-01

    Full Text Available This study aims to determine and analyze the process of murabahah financing risk management. Murabahah financing still dominates financing composition in sharia financial institutions, including BMT. BMT considers that murabahah financing process has a small risk so BMT expend more financing to this type. The composition of murabahah financing that is still very large in BMT and the existence of muamalah rules which states that "profit is in return from the readiness to bear losses" causing murabahah financing risk management process since prospective members or members of BMT proposed financing until the repayment of financing installments interesting to investigate. This research uses qualitative approach. Primary data comes from interviews with administrators and managers of BMT, participatory observation, and focus group discussions (FGD as well as documents related to murabahah financing. Secondary data comes from books, journals, magazines, newspapers, and documents or reports of research activities ever undertaken related to financing in BMT Amanah Ummah. This study concludes that: (1 BMT Amanah Ummah has not conducted risk management process properly because it has not documented risk management process. (2 Risks that are the main focus in murabahah financing in BMT Amanah Ummah are financing risks, namely the risk of failure of prospective members or members of financing in fulfilling the obligation to pay the installment of financing. (3 BMT Amanah Ummah has not applied sharia principles because the transaction contains riba jahiliyyah.

  7. PERAN BAITUL MAL WA TAMWIL (BMT TAQWA MUHAMMADIYAH DALAM MEMBEBASKAN MASYARAKAT DARI RENTENIR DI KOTA PADANG

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    Rozalinda Rozalinda

    2013-12-01

    Full Text Available This research was intended to know any factors that influence people using usurer and how did the BMT Taqwa Muhammadiyah helped people free from usurer in Padang. This research applying descriptive qualitative technique. The finding of this research showed that people were still using usurer in overcoming their financial problems due to (1 emergency need on business assistances, (2 quick process, simple procedure and shortherm paybak periode, (3 lack of bank and non bank access (4 they do not have any information of existing BMT, (5 depleted concern on religious believe on leaving excessive interest. Moreover the finding also found that BMT Taqwa Muhammadiyah had not yet provided significant financial assistance toward vendors.

  8. Pengembangan Produk Funding KSPPS BMT Amanah Ummah Jawa Timur

    OpenAIRE

    Lisdawami, Indi Masita; Mawardi, Imron

    2017-01-01

    BMT must be able to compete with financial institutions, so that BMT must have an appropriate strategy in its operational, including product development strategy. This research aims to find out how funding product development strategy works on KSPPS BMT Amanah Ummah West Java. This research uses qualitative approach with a case study. And it also uses sharia finance product development strategy that is according to Suwailem.Suwailem has three main strategies, which are Imitation, Mutation, an...

  9. Pengaruh Hubungan Berkelanjutan terhadap Kesetiaan Nasabah di BMT NU Cabang Pragaan Kabupaten Sumenep

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    Achmad Tarmidzi Anas

    2017-06-01

    Full Text Available One strategy for customers to survive and be even more loyal is to provide attractive product offerings, but that is not enough to get customers to survive and need other steps to retain customers, so that today there are many banks and non-bank financial institutions Which apply the concept of long-term relationship with customers. BMT NU Branch Pragaan Sumenep regency as a non-bank financial institutions that form a cooperative to build a sustainable relationship with customers, so it needs to be examined how the loyalty of its customers. The formulation of the problem in this study is whether the continuous relationship affects customer loyalty in BMT NU Branch Pragaan Sumenep regency? How big is the influence of ongoing relationship to customer loyalty in BMT NU Branch Pragaan Sumenep regency?. The purpose of this research is to know the influence of continuous relationship to customer loyalty in BMT NU Pragaan Branch of Sumenep regency, secondly to know how big influence continuous relationship to customer loyalty in BMT NU Branch Pragaan Sumenep Regency. This study uses a quantitative approach with the type of causal research and tools used simple linear regression analysis. The data used are primary data obtained through questionnaire. And Respondents are customers of BMT NU Branch Pragaan Sumenep with a population of 5005 customers and as many samples 98 customers with error rate of 10%. The results showed that there is a significant influence on the ongoing relationship to customer loyalty in BMT NU Branch Pragaan Sumenep. It is stated based on the result of Test-t yield correlation coefficient value tarithmetic= 14.325> ttable=1.290 with a significance level of 0.000 <0.1, and the value of positive beta coefficient. Of the coefficient of determination (R2 by using SPSS (Statistical for the Social Sciences version 18, By looking at R square gain of 0.681. This means that 68.1% of customer loyalty is influenced by continuous

  10. Strategi Menyiasati Perubahan Bisnis: Kasus BMT Al-Ittihad

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    Nofrizal Nofrizal

    2018-03-01

    Full Text Available This research aims to formulate and select BMT Al- Ittihad Rumbai strategy to face the changing of business environment both from internal environment such as organization resources, finance, member and external business such as competitor, economy, politics and others. This research method used Analysis of EFAS, IFAS, IE Matrix, SWOT-8K Matrix, SPACE Matrix and TWOS Matrix. our hope from this research it can assist BMT Al-Ittihad in formulating and selecting strategies for the sustainability of BMT Al-Ittihad in the future. The sample in this research is manager and leader of BMT Al-Ittihad Rumbai Pekanbaru. The result of this research shows that the position of BMT Al-Ittihad using IE Matrix, SWOT-8K Matrix and SPACE Matrix is in growth position, stabilization and aggressive. The choice of strategy after using TWOS Matrix is market penetration, market development, vertical integration, horizontal integration, and stabilization

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

    Science.gov (United States)

    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. Copyright © 2017 The American Society for Blood and Marrow Transplantation. Published by Elsevier Inc. All rights reserved.

  12. Pembiayaan Bagi hasil Sektor Usaha Mikro di BMT Hasanah Ponorogo

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    Arlinta Prasetian Dewi

    2016-05-01

    Abstrak: Pembiayaan merupakan salah satu produk lembaga keuangan yang banyak diminati. BMT sebagai lembaga keuangan mikro yang menjalankan operasional kerjanya dengan prinsip syariah, identik dengan pembiayaan bagi hasil. Meskipun demikian, tingkat pembiayaan bagi hasil pada sebagian lembaga keuangan masih rendah. Hal ini dikarenakan pembiayaan bagi hasil masuk dalam kategorihigh risk, karena keuntungan maupun kerugian akan ditanggung oleh kedua belah pihak. Pembiayaan bermasalah di BMT Hasanah saat ini mecapai 10%, jika tidak segera diambil tindakan kemungkinan bertambah akan tinggi. Maka, penelitian memfokuskan bagaimana kesesuaian pembiayaan bagi hasil di BMT Hasanah dengan fatwa DSN MUI sekaligus manajemen resikonya terhadap pembiayaan yang bermasalah. Hasil penelitian menunjukkan bahwa, mekanisme pembiayaan bagi hasil di BMT Hasanah dibagi menjadi beberapa tahapan, tahap pemeriksaan, tahap analisa dan tahap pencairan dana. Siklus manajemen resiko diawali dengan Identifikasi resiko, pengukuran resiko dan pengelolaan resiko. Pengelolaan resiko BMT Hasanah melalui tindakan prefentif, revitalisasi dan kuratif/ pengambil alihan agunan. Untuk meminimalisir resiko, BMT mengelompokkan strategi kedalam tiga kelompok, yaitu: strategi penyaluran pembiayaan, strategi pengumpulan piutang dan strategi jaminan.

  13. 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.

  14. PERAN BAITUL MAAL WA TAMWIL (BMT DALAM MENINGKATKAN KINERJA USAHA RUMAH TANGGA DI PURWOKERTO

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    Suyotoi

    2017-03-01

    Full Text Available This study is titled The Role of Baitul Maal Wa Tamwil (BMT in Improving Business Performance Scale Households in Purwokerto, it’s carried out in order to determine the role of BMT in improving business performance household scale, the potential of BMT in household-scale enterprises development, and the contribution BMT in household-scale enterprises development From the research result shows that BMT has a strategic role to improve the business performance scale household because the financing needs of TMB bridge between bussiness with financial institutions. BMT has a good potential for business development so that developing domestic scale becomes larger. BMT gives contribute the development of household scale so it can encourage economic growth, employment, and other follow-up impact

  15. PERLAKUAN AKUNTANSI SYARIAH PSAK NOMOR 102 PADA BMT UMMAH BANJARMASIN

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    Hariyanto Hariyanto

    2016-02-01

    Full Text Available This study aims to determine the accounting treatment of sharia PSAK 102 on BMT Ummah Banjarmasin. This type of research is the research field (Field Reseach, are qualitative. Retrieving data using interview techniques and documentation. While the analysis using qualitative descriptive analysis with interactive model of Miles and Huberman. Through techniques qualitative descriptive analysis, this study resulted in the finding that the accounting treatment of sharia in BMT Ummah Banjarmasin yet fully adopted PSAK 102, it can be proved the few that still needs to be improved such as the lack of accounting treatment urbun murabaha, the accounting treatment of pieces of early settlement, and not the accounting treatment of fines upon members (customers who are in arrears.

  16. Pengaruh Sharia Marketing terhadap Loyalitas Anggota KSPPS BMT Walisongo Semarang

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    Nurudin Nurudin

    2017-06-01

    to other places to get a lot of profit. The development of number of members in KSPPS BMT Walisongo Semarang experienced an increase in deposit products and decline in financing products in 2016.The formulation of the problem in this research is how the influence of sharia marketing (product, price, place, promotion toward the loyalty of members of KSPPS BMT Walisongo Semarang. The purpose of this research is to know the influence of sharia marketing (product, price, place, and promotion toward the loyalty of KSPPS BMT Walisongo Semarang.This research is a field research with quantitative approach. The population of this research is all members of KSPPS BMT Walisongo Semarang which is amounted 2,469. Sampling technique used in this research is Slovin formula amounted 100 people who will be selected to be respondents with certain criteria. The method used in this research is purposive sampling. The technique of analyzing the data is simple regression.From the simultaneous calculation results obtained t count is equal to (6,558 and p value (sig is equal to 0.000 below 5% which means that there is significant influence between sharia marketing (product, price, place, promotion toward member loyalty. The four dimensions of sharia marketing have a positive and significant influence on member loyalty. But in this study, products have a significant influence on loyalty members. Bisnis Islami pada hakikatnya selalu memegang asas keadilan dan eseimbangan. Mengingat semakin ketatnya persaingan bisnis sekarang ini, banyak lembaga keuangan dalam melakukan kegiatan pemasarannya menyimpang dari prinsip syariah hanya untuk memenuhi kebutuhan, keinginan dan memuaskan pelanggan agar mereka tidak beralih ke tempat lain serta untuk mendapatkan keuntungan yang banyak. Perkembangan jumlah anggota di KSPPS BMT Walisongo Semarang mengalami peningkatan pada produk simpanan dan mengalami penurunan pada produk pembiayaan pada tahun 2016. Rumusan masalah dalam penelitian ini

  17. Why 'Optimal' Payment for Healthcare Providers Can Never be Optimal Under Community Rating.

    Science.gov (United States)

    Zweifel, Peter; Frech, H E

    2016-02-01

    This article extends the existing literature on optimal provider payment by accounting for consumer heterogeneity in preferences for health insurance and healthcare. This heterogeneity breaks down the separation of the relationship between providers and the health insurer and the relationship between consumers and the insurer. Both experimental and market evidence for a high degree of heterogeneity are presented. Given heterogeneity, a uniform policy fails to effectively control moral hazard, while incentives for risk selection created by community rating cannot be neutralized through risk adjustment. Consumer heterogeneity spills over into relationships with providers, such that a uniform contract with providers also cannot be optimal. The decisive condition for ensuring optimality of provider payment is to replace community rating (which violates the principle of marginal cost pricing) with risk rating of contributions combined with subsidization targeted at high risks with low incomes.

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2015-12-01

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

  19. Inventarisasi Permasalahan Industri Keuangan Mikro Syariah (Studi Pada BMT di Kota dan Kabupaten Magelang

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    Eko Kurniasih Pratiwi

    2015-06-01

    Full Text Available Baitul Maal wat Tamwil (BMT merupakan lembaga keuangan mikro yang berbasis syari’ah muncul dan mencoba menawarkan solusi bagi masyarakat untuk mengatasi permasalah yang dihadapi. BMT merupakan lembaga keuangan syariah berbadan hukum koperasi yang bisa dibilang paling sederhana. Keberadaan BMT diharapkan dapat membantu masyarakat untuk meningkatkan kesejahteraannya. Di balik perkembangan BMT saat ini, baik dari sisi kuantitas maupun asset, terdapat berbagai permasalahan yang harus segera dicari solusinya. Penelitian ini bertujuan untuk mengetahui permasalahan BMT di wilayah kota dan kabupaten Magelang. Penelitian ini adalah penelitian survey (field research, tepatnya survey eksploratif dengan pendekatan kualitatif. Penelitian ini didesain untuk mengetahui permasalahan yang hadapi BMTBMT dengan menggunakan sumber data primer (wawancara dan data sekunder (referensi dan dokumentasi, dengan metode pengambilan sampel purposive random sampling, yaitu BMT yang tergabung dalam FORSILA sebagai sampelnya. Metode pengambilan data yang digunakan adalah observasi lapangan, wawancara (depth interview, dan dokumentasi. Data yang terkumpul dianalisis untuk diambil simpulan dengan menggunakan metode kualitatif dengan pengamatan dan penelaahan dokumen. Studi ini menemukan bahwa permasalahan yang dihadapi oleh BMT secara umum hampir sama, yaitu (1 permasalahan kelembagaan (2 Permasalahan sumber daya manusia (3 Permasalahan yang terkait dengan tingkat kepercayaan dan pemahaman masyarakat terhadap BMT.

  20. BMT decreases HFD-induced weight gain associated with decreased preadipocyte number and insulin secretion.

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    Saeed Katiraei

    Full Text Available Experimental bone marrow transplantation (BMT in mice is commonly used to assess the role of immune cell-specific genes in various pathophysiological settings. The application of BMT in obesity research is hampered by the significant reduction in high-fat diet (HFD-induced obesity. We set out to characterize metabolic tissues that may be affected by the BMT procedure and impair the HFD-induced response. Male C57BL/6 mice underwent syngeneic BMT using lethal irradiation. After a recovery period of 8 weeks they were fed a low-fat diet (LFD or HFD for 16 weeks. HFD-induced obesity was reduced in mice after BMT as compared to HFD-fed control mice, characterized by both a reduced fat (-33%; p<0.01 and lean (-11%; p<0.01 mass, while food intake and energy expenditure were unaffected. As compared to control mice, BMT-treated mice had a reduced mature adipocyte volume (approx. -45%; p<0.05 and reduced numbers of preadipocytes (-38%; p<0.05 and macrophages (-62%; p<0.05 in subcutaneous, gonadal and visceral white adipose tissue. In BMT-treated mice, pancreas weight (-46%; p<0.01 was disproportionally decreased. This was associated with reduced plasma insulin (-68%; p<0.05 and C-peptide (-37%; p<0.01 levels and a delayed glucose clearance in BMT-treated mice on HFD as compared to control mice. In conclusion, the reduction in HFD-induced obesity after BMT in mice is at least partly due to alterations in the adipose tissue cell pool composition as well as to a decreased pancreatic secretion of the anabolic hormone insulin. These effects should be considered when interpreting results of experimental BMT in metabolic studies.

  1. PENGELOLAAN BAITUL MAAL PADA BAITUL MAAL WA TAMWIL (BMT DI KOTA PEKALONGAN

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    Kuat Ismanto

    2015-05-01

    Full Text Available Baitul Maal wa Tamwil (BMT is a microfinance institution that operates based on Islamic principles (Islam. There are two main divisions of the institution, as a business base that is as Baitul Maal and as Baitul Tamwil. The first division related to social mission, namely as zakat management institutions, infaq, endowments, charity, and others, while the second division is engaged in the business (profit. This paper further review of Baitul Maal position/status at BMT, then discussed how the management of funds by the agency. Facts on the ground indicate that there is BMT has run Baitul Maal, however many do not run it.

  2. Pengaruh Kepemimpinan Transformasional, Motivasi, Dan Budaya Organisasi Terhadap Kinerja Karyawan KJKS BMT Tamzis Bandung

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    Ujang Wawan Sam Adinata

    2015-10-01

    Full Text Available The research objective is to be achieved (1 To know how transformational leadership, motivation and organizational culture, and (2 To in identifying the effect of transformational leadership, motivation and organizational culture on performance. The study populations were employees of BMT TAMZIS KJKS BANDUNG. Analysis of data using Path Analysis. Based on the research results it can be concluded that the transformational leadership, motivation, organizational culture significantly influence performance KJKS Employees BMT TAMZIS Bandung. The most dominant influence is the influence of organizational culture, while the lowest was transformational leadership. All the variables simultaneously affect the performance of the Employee KJKS BMT TAMZIS Bandung where the influence simultaneously by 78% while the rest influenced by other factors not included in this study. Thus the company in this case KJKS BMT TAMZIS Bandung need to increase the role of a strong organizational culture so as to improve the performance of employees.

  3. MENGGAGAS PAYUNG HUKUM BAITUL MAAL WATTANWIL (BMT SEBAGAI KOPERASI SYARI’AH DALAM BINGKAI IUS CONSTITUENDUM

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    Elfa Murdiana

    2016-12-01

    Full Text Available Baitul Maal Wat Tanwil (BMT merupakan lembaga keuangan mikro syari’ah yang secara faktual telah memberikan pengaruh positif terhadap berlangsungnya pembangunan ekonomi di Indonesia. BMT sebagai koperasi syari’ah berada di bawah naungan Dinas Koperasi, konsekuensinya , segala aktivitas keuangan yang terjadi dilindungi oleh kebijakan Undang-undang Koperasi. Namun secara faktual keberadaan UU Koperasi justru belum mampu memberikan dasar hukum yang sesuai dengan praktik BMT yang ada. Oleh karenanya pembentukan aturan hukum yang pasti merupakan hal yang tak bisa ditunda lagi mengingat keberadaan BMT kian tumbuh dan semakin berkembang baik dari aspek jumlah maupun permodalannya. Dengan dibatalkannya UU Koperasi No.17 Tahun 2012 maka perlu bagi BMT memiliki aturan hukum tersendiri sebagai payung hukum bagi aktivitas BMT sebab Koperasi dan BMT (yang disejajarkan dengan Koperasi Syari’ah berbeda secara operasional dan prinsip. Oleh karenanya pembentukan Undang-Undang Koperasi Syari’ah sebagai dasar Hukum BMT harus segera dilaksanakan. Dalam rangka pembentukan UU Koperasi Syari’ah dalam kerangka Ius Constituendum  maka hendaknya perlu diperhatikan 3 nilai dasar , nilai dasar tersebut adalah: pertama Nilai Keadilan yang mendasari secara filosofis terbentuknya suatu aturan hukum ( Filosofiche Geltung dimana dasar ini merupakan suatu landasan ideal yang mengandung cita-cita kolektif masyarakat tentang nilai luhur yang  terkandung dalam Pancasila dan UUD 1945. Kedua adalah nilai kemanfaatan yang mendasari secara sosiologis ( soziologische geltung agar hukum memiliki kekuatan berlaku dimasyarakat. Ketika adalah nilai kepastian yang lahir sebagai dasar yuridis suatu aturan hukum( Juridische Geltung, dasar ini terkait dengan  persyaratan formal pembentukan suatu peraturan selanjutnya Landasan politis artinya bahwa keberadaan suatu aturan hukum merupakan suatu upaya menuangkan cita-cita kolektif masyarakat Indonesia dalam suatu aturan hukum melalui

  4. Optimizing Tobacco Cessation Resource Awareness Among Patients and Providers.

    Science.gov (United States)

    Ma, Laura; Donohue, Caitlin; DeNofrio, Tina; Vitale Pedulla, Lillian; Haddad, Robert I; Rabinowits, Guilherme

    2016-01-01

    Despite receiving a cancer diagnosis, many patients continue to use tobacco during treatment, negatively affecting their outcomes. We hypothesized that limited tobacco cessation (TC) discussion among patients and providers was partially the result of providers' lack of awareness of current TC resources available. We surveyed the head and neck oncology providers (HNOPs) at Dana-Farber Cancer Institute to evaluate their awareness of existing TC resources within the community and performed a 6-month medical record review of active tobacco users (ATUs) to evaluate the frequency of documented TC discussions in clinic. We educated the HNOPs about available TC resources, developed a TC resource teaching sheet, placed a provider alert page in examination rooms as a reminder of TC discussions, and built a TC discussion template to ease documentation. Four weeks postintervention, we resurveyed providers and again performed medical record reviews of ATUs. Preintervention, 13% of HNOPs were aware of TC resources available, and TC discussion documentation was 28%. Postintervention, 100% of HNOPs became aware of the TC resources available, and documentations increased to 56% at 5 months. Identification of ATUs increased from six to 13 per month to 17 to 33 per month post intervention. Eighty-eight percent of HNOPs felt the intervention prompted TC discussions in clinic with their ATUs. The limited number of TC discussions among patients and providers was at least partially the result of unawareness of TC resources available within the community. Educating HNOPs and alerting them to ATUs at their clinic visits successfully prompted TC discussions in clinic. Copyright © 2015 by American Society of Clinical Oncology.

  5. STUDI KOMPARASI IMPLEMENTASI AKAD MUDHARABAH (Studi Kasus Bank Syariah Mandiri KCP Lumajang dan BMT Maslahah Sidogiri Capem Padang

    Directory of Open Access Journals (Sweden)

    Nurhafid Ishari

    2015-10-01

    Dengan demikian dapat ditarik kesimpulan bahwa: (1 Implementasi akad mudharabah di BSM Lumajang, dan BMT Maslahah padang terbagi dalam dua bentuk yakni  bentuk penghimpunan dana dan penyaluran dana. (2 Implementasi akad mudharabah di BMT Maslahah Sidogiri capem padang terbagi dalam dua bentuk yakni  bentuk penghimpunan dana dan penyaluran dana.  (3 Adapun persamaan dan perbedaan di antara BSM dan BMT yakni terletak pada prosedur dan kebijakan dari masing-masing lembaga 4Pandangan fiqih Muamalah terhadap praktek akad mudharabah di BSM dan BMT yakni akan memberikan kemanfaatan besar bagi masyarakat luas apabila dapat diterapkan sesuai dengan syariat islam serta tidak hanya bertujuan mengambil keuntungan semata.

  6. PENGARUH REFERENCE GROUP DAN MARKETING MIX TERHADAP MINAT MENGGUNAKAN PRODUK KJKS/BMT DI KOTA PEKALONGAN

    Directory of Open Access Journals (Sweden)

    AM. M. Hafidz MS

    2014-03-01

    Full Text Available This study was aimed to answer a question research: whether reference group and marketing mix influence the customers' interest in using the KJKS/BMT's products. To answer that question, quantitative approach was used. The population was BMT's customers of Pekalongan. Non-probability sampling technique (convenience sampling was used to take samples of the population. There were 92 respondents that were used. The study concluded that based on t-test, it was known that the three independent variables: product, place, and promotion had significant effect on the customers’ interest in using the BMT's products. While two others: price and reference group did not have significant effect. All variables, both the significant and not significant, had positive relationship with the dependent variable. They all had simultaneously significant effect on the dependent variable. The magnitude of the effect of independent variables on the dependent variable was 62.8 % as shown in figure Adjusted R2 in Regression Coefficient Test.

  7. Pengaruh Karakteristik Marketing Syariah terhadap Keputusan menjadi Nasabah BMT UGT Sidogiri Cabang Pamekasan

    Directory of Open Access Journals (Sweden)

    Khafiatul Hasanah

    2016-06-01

    Full Text Available Islamic financial institutions continue to plague the urban to the rural. No exception to the Baitul Maal Wat Tamwil (BMT in Pamekasan area. Consequently, all the processes required to implement management based on Islamic principles, as well as in marketing. That is why ethics and morals become a necessity in carrying out any business activity. BMT UGT Sidogiri Pamekasan branch is one of the BMT which has increased exponentially customers. Allegedly due to the increase in the number of customers continued to increase customer confidence. One of the flagship products owned BMT UGT Sidogiri Pamekasan branch in collecting funds is Islamic savings have minimum deposit Rp 1000 by the facility pick up the ball that is not offered by other BMT in Pamekasan. Based on this background, researchers interested in conducting research with the title "Influence of Characteristics Marketing Decision Against Sharia Become Customer BMT UGT Sidogiri Pamekasan branch". The problem that arises is there any influence of sharia marketing characteristics to the decision as a customer and what variables (theist, ethical, realistic, humanistic the dominant influence on a customer's decision. This type of research is field research using a quantitative approach. The study population were all customers of BMT UGT Sidogiri Pamekasan branch using simple random sampling method and the determination of the number of samples is determined by the formula slovin at an error rate of 10%. Mechanical analysis is multiple regression analysis. Simultaneous calculation results obtained Fhitung (39.081> Ftabel of (2.47 which means accepting the hypothesis of the influence of sharia marketing characteristics (theist, ethical, realistic, humanistic against the decision of a customer. While the partial test results obtained for thitung theistic, ethical, realistic and humanistic respectively 2.648, 3.622, 2.560, 2.938 greater than ttable (1.66123, which means either partially theistic

  8. Strategi Penghimpunan dan Penyaluran Dana pada Baitul Maal Wat Tamwil (BMT al-Hidayah di Kabupaten Lombok Timur

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    Sanwani Sanwani

    2017-04-01

    Results of research on how the collection and distribution of funds strategy in BMT al-Hidayah which are coming directly to the place of prospective customers, social care, marketing, and promotion of the brochures that were disseminated to the public.Strategy, BMT Product, Marketing

  9. Revitalization BMT and Cooperatives Function in Developing Syari'ah Economy

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    Ach Baihaki

    2017-03-01

    Full Text Available The growth of Islamic economics have been more improvement, as in infrastructure, assets and number of employee year of the year. But by that improvement, there are some problems to be payed attention, like development of quality of human resources in Islamic economics system with holistic approach. So that, to strengthen the character of Islamic economics system need to restore it’s concept to the nature of Islamic thought consider with the Islamic economics history and also accommodate local wisdom. To support the improvement of Islamic economics proper with ideology objectives of islam, cooperation and BMT should be have priority to increase their functions and responsibilities in economics development. Operational of cooperation and BMT will make variability of Islamic contracts more variative. Then Islamic contract by partnership approach based profit and losses sharing will have more proportions and cost of control also will be more efficient and worries about information asymmetry will be declined. It caused, awareness of partnership and togetherness to increase cooperation member welfare will be easily achived. Keywords: business entity, Islamic Financial Institutions, Cooperation, BMT Judul Asli : Revitalisasi Fungsi BMT dan Koperasi dalam Pengembangan Ekonomi Syari’ah

  10. Analisis Penerapan Psak – 102 Murabahah (Studi Kasus Pada Ksu Bmt Rahmat Syariah Kediri

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    Inggrid Eka Pratiwi

    2014-11-01

    Full Text Available The purpose of this research is to find out whether the accounting practices which include the recognition, measurement, presentation and disclosure of the murabaha transactions applied to the BMT Rahmat Syariah in accordance with PSAK 102 about accounting murabaha. The research method used is descriptive qualitative approach with this type of case study research. The Unit of analysis in this study is the accounting treatment of murabaha is applied to the BMT Rahmat Syariah. Analytical techniques used in this research is a domain analysis techniques. From the results of the research can be determined three related domains of contract i.e. the beginning of akkadian murabaha, during the process of installment and repayment. Research results can be concluded that BMT Rahmat Syariah in terms of recognition, measurement, presentation and disclosure of early contract deal not in accordance with PSAK 102. During the process of contract, in terms of the measurement of profit murabaha were in accordance with PSAK 102, but in terms of recognition, presentation, and disclosure is not in accordance with PSAK 102. Whereas in the recognition, measurement and disclosure of fines (ta'zir is in compliance with PSAK 102 only served and which is not in accordance with PSAK 102. At the time of payment of the measurements were in accordance with PSAK 102, however, recognition, representation, and the disclosure is not in accordance with PSAK 102.

  11. 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

  12. WAJIB DAFTAR JAMINAN FIDUSIA DALAM PEMBIAYAAN MUDHARABAH Efektivitas Pelaksanaan Pasal 11 Undang-Undang RI Nomor 42 Tahun 1999 Tentang Jaminan Fidusia di BMT Kota Pekalongan

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    Triana Sofiani

    2015-05-01

    Full Text Available This study aims to analyze the effectiveness of the implementation of compulsory registration of fiduciary insurance as the provisions of Article 11 of Law No. 42 of 1999 concerning fiduciary in Mudharabah in Baitul Maal Wat Tamwil (BMT Pekalongan and legal implication in terms of fiduciary insurance is not registered at the Office Registration Fiducia. Interviews and literary studies are used to collect data and data triangulation is used to check its credibility while Interactive Model is used to analyze data. The results showed that, as the fiduciary guarantee registration requirement contained in Article 11 (1 Fiduciary Insurance Law is not effective to be implemented, because: 1 substantially the article is not yet understood by all communities affected by the regulations; 2 law enforcement officials have not provided services to the fullest; 3 the legal infrastructure (legal facilities are available yet provide ease and convenience to be able to access in implementing such regulations and; 4 lack of legal awareness of the managers of BMT. Legal consequences will occur if the fiduciary is not registered to the fiduciary registration office, namely: 1 non-fulfillment of the principle of specialties and publicity; 2 no preferent rights (the right to precedence in the payment of the debt, if the debtor break a promise; 3 does not have the executorial power.

  13. Strategy BMT Al-Ittihad Using Matrix IE, Matrix SWOT 8K, Matrix SPACE and Matrix TWOS

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    Nofrizal Nofrizal

    2018-03-01

    Full Text Available This research aims to formulate and select BMT Al-Ittihad Rumbai strategy to face the changing of business environment both from internal environment such as organization resources, finance, member and external business such as competitor, economy, politics and others. This research method used Analysis of EFAS, IFAS, IE Matrix, SWOT-8K Matrix, SPACE Matrix and TWOS Matrix. our hope from this research it can assist BMT Al-Ittihad in formulating and selecting strategies for the sustainability of BMT Al-Ittihad in the future. The sample in this research is using purposive sampling technique that is the manager and leader of BMT Al-IttihadRumbaiPekanbaru. The result of this research shows that the position of BMT Al-Ittihad using IE Matrix, SWOT-8K Matrix and SPACE Matrix is in growth position, stabilization and aggressive. The choice of strategy after using TWOS Matrix is market penetration, market development, vertical integration, horizontal integration, and stabilization (careful.

  14. Functional Recovery in Major Depressive Disorder: Providing Early Optimal Treatment for the Individual Patient

    Science.gov (United States)

    Katzman, Martin A; Habert, Jeffrey; McIntosh, Diane; MacQueen, Glenda M; Milev, Roumen V; McIntyre, Roger S; Blier, Pierre

    2018-01-01

    Abstract Major depressive disorder is an often chronic and recurring illness. Left untreated, major depressive disorder may result in progressive alterations in brain morphometry and circuit function. Recent findings, however, suggest that pharmacotherapy may halt and possibly reverse those effects. These findings, together with evidence that a delay in treatment is associated with poorer clinical outcomes, underscore the urgency of rapidly treating depression to full recovery. Early optimized treatment, using measurement-based care and customizing treatment to the individual patient, may afford the best possible outcomes for each patient. The aim of this article is to present recommendations for using a patient-centered approach to rapidly provide optimal pharmacological treatment to patients with major depressive disorder. Offering major depressive disorder treatment determined by individual patient characteristics (e.g., predominant symptoms, medical history, comorbidities), patient preferences and expectations, and, critically, their own definition of wellness provides the best opportunity for full functional recovery. PMID:29024974

  15. Low immunosuppressive burden after HLA-matched related or unrelated BMT using posttransplantation cyclophosphamide.

    Science.gov (United States)

    Kanakry, Christopher G; Bolaños-Meade, Javier; Kasamon, Yvette L; Zahurak, Marianna; Durakovic, Nadira; Furlong, Terry; Mielcarek, Marco; Medeot, Marta; Gojo, Ivana; Smith, B Douglas; Kanakry, Jennifer A; Borrello, Ivan M; Brodsky, Robert A; Gladstone, Douglas E; Huff, Carol Ann; Matsui, William H; Swinnen, Lode J; Cooke, Kenneth R; Ambinder, Richard F; Fuchs, Ephraim J; de Lima, Marcos J; Andersson, Borje S; Varadhan, Ravi; O'Donnell, Paul V; Jones, Richard J; Luznik, Leo

    2017-03-09

    The intensive and prolonged immunosuppressive therapy required to prevent or treat graft-versus-host disease (GVHD) after allogeneic blood or marrow transplantation (alloBMT) puts patients at substantial risk for life-threatening infections, organ toxicity, and disease relapse. Posttransplantation cyclophosphamide (PTCy) can function as single-agent GVHD prophylaxis after myeloablative, HLA-matched related (MRD), or HLA-matched unrelated (MUD) donor T-cell-replete bone marrow allografting, obviating the need for additional prophylactic immunosuppression. However, patients who develop GVHD require supplemental treatment. We assessed the longitudinal requirement for immunosuppressive therapy in 339 patients treated with this transplantation platform: 247 receiving busulfan/cyclophosphamide (BuCy) conditioning (data collected retrospectively) and 92 receiving busulfan/fludarabine (BuFlu) conditioning (data collected prospectively). Approximately 50% of MRD patients and 30% of MUD patients never required immunosuppression beyond PTCy. In patients requiring further immunosuppression, typically only 1 to 2 agents were required, and the median durations of systemic pharmacologic immunosuppression for the BuCy MRD, BuFlu MRD, BuCy MUD, and BuFlu MUD groups all were 4.5 to 5 months. For these 4 groups, 1-year probabilities of being alive and off all systemic immunosuppression were 61%, 53%, 53%, and 51% and 3-year probabilities were 53%, 48%, 49%, and 56%, respectively. These data suggest that PTCy minimizes the global immunosuppressive burden experienced by patients undergoing HLA-matched alloBMT.

  16. Optimizing Team Dynamics: An Assessment of Physician Trainees and Advanced Practice Providers Collaborative Practice.

    Science.gov (United States)

    Foster, Cortney B; Simone, Shari; Bagdure, Dayanand; Garber, Nan A; Bhutta, Adnan

    2016-09-01

    The presence of advanced practice providers has become increasingly common in many ICUs. The ideal staffing model for units that contain both advanced practice providers and physician trainees has not been described. The objectives of this study were to evaluate ICU staffing models that include physician trainees and advanced practice providers and their effects on patient outcomes, resident and fellow education, and training experience. A second aim was to assess strategies to promote collaboration between team members. PubMed, CINAHL, OVID MEDLINE, and Cochrane Review from 2002 to 2015. Experimental study designs conducted in an ICU setting. Two reviewers screened articles for eligibility and independently abstracted data using the identified search terms. We found 21 articles describing ICU team structure and outcomes. Four articles were found describing the impact of advanced practice providers on resident or fellow education. Two articles were found discussing strategies to promote collaboration between advanced practice providers and critical care fellows or residents. Several articles were identified describing the utilization of advanced practice providers in the ICU and the impact of models of care on patient outcomes. Limited data exist describing the impact of advanced practice providers on resident and fellow education and training experience. In addition, there are minimal data describing methods to enhance collaboration between providers. Future research should focus on determining the optimal ICU team structure to improve patient outcomes, education of trainees, and job satisfaction of team members and methods to promote collaboration between advanced practice providers and physicians in training.

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

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    Zaenudin Zaenudin

    2015-08-01

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

  18. 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

    International Nuclear Information System (INIS)

    Jing, L.

    2005-02-01

    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

  19. 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.

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

    International Nuclear Information System (INIS)

    Jakobs, Norbert; Grauf, Eberhard

    1998-01-01

    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)

  1. ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI LOYALITAS PELANGGAN DAN DAMPAKNYA TERHADAP KEUNGGULAN BERSAING (STUDI PADA BMT AMANAH UMMAH SUKOHARJO

    Directory of Open Access Journals (Sweden)

    meyta pritandhari

    2015-05-01

    Full Text Available Abstrak   Baitul Maal Wat Tamwil merupakan salah satu model lembaga keuangan syariah yang saat ini banyak muncul di Indonesia. BMT Amanah Ummah memiliki 9.142 anggota dan 45 % anggotanya tidak loyal kepada BMT. Penelitian ini bertujuan untuk mengetahui faktor-faktor yang mempengaruhi loyalitas pelanggan dan dampaknya terhadap keunggulan bersaing. Penelitian ini menggunakan metode penelitian deskriptif dengan pendekatan analisis kualitatif dengan model analisis interaktif. Teknik sampling yang digunakan adalan insidental sampling untuk anggota BMT dan purposive sampling  untuk  pimpinan, manajer dan  marketing.  Teknik  pengumpulan  data yang digunakan yaitu wawancara, observasi dan dokumentasi. Hasil penelitian ini menunjukkan bahwa dari beberapa faktor yang mempengaruhi loyalitas pelanggan yaitu reputasi merek, kepuasan angggota, kualitas pelayanan, kualitas pelayanan berpengaruh positif terhadap kepuasan anggota, dan kualitas pelayanan. Dari beberapa faktor tersebut faktor kualitas pelayanan yang paling dominan dalam mempengaruhi loyalitas anggota.Dampak loyalitas terhadap keunggulan bersaing dapat dilihat dari seberapa banyak anggota BMT yang tidak pindah ke lembaga keuangan lain. Semakin bagus kualitas pelayanan maka semakin tinggi tingkat loyalitas dan keunggulan bersaing antar lembaga keuangan juga semakin tinggi.

  2. SHARIAH MARKETING CHARACTERISTICS AND TRUST: STUDY ON CUSTOMER BMT IN MALANG, INDONESIA

    Directory of Open Access Journals (Sweden)

    Safitri S.

    2016-12-01

    Full Text Available Muslims in Indonesia is the largest Muslim who are the target market in the Islamic finance industry. In the context of Islamic financial product marketing, Muslim consumers being potential consumers. Muslim consumers have a unique character because they believe religious rules. This research aims to examine the effect of Shariah Marketing Characteristics on customer satisfaction and trust. This research used a quantitative approach with 375 respondents as sample BMT in Malang. The data were analyzed using Generalized Structured Component Analysis (GSCA. The findings of this study is that the Theistic, Ethic, Realistic and Humanistic (Shariah Marketing Characteristics significantly affects the satisfaction and trust. There is a hypothesis that is not significant, which between Humanistic on customer trust.

  3. IMPLEMENTASI PRODUK TABUNGAN UMUM SYARIAH DI KJKS BMT UGT SIDOGIRI CABANG PEMBANTU TLANAKAN PAMEKASAN

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    Syafi'i Syafi'i

    2015-12-01

    Full Text Available These shari’ah public savings products is entrusted (wadiah which in principle is pure deposits of from party saving or entrusting to the person receiving the deposit o be used or not used in accordance with the provisions. Safekeeping must be kept and maintained by the party that receives deposits, and this deposit can be taken at any time when required by the party who left it. The focus of this research are: 1 How does the products management of Shari’ah Public savings (Wadiah at Shari’ah Financial Service Cooperative of Baitul Maal Wat Tamwil Enterprises Joint Integrated Sidogiri of the Helper Branch Tlanakan Pamekasan. 2 How is the implementation of Shari’ah public savings (Wadiah at  Shari’ah Financial Service Cooperative Baitul Maal Wat Tamwil Enterprises Joint Integrated Sidogiri of the Helper Branch Tlanakan Pamekasan in the perspective of economic law of shari’ah. This research used a qualitative approach, this research used by some measures. First, adjust the qualitative methods more easily when faced with a double reality. second, this method presents the direct nature of the relationship between researchers and informants. Third, this method is more sensitive and can adjust to the research setting and able to do the sharpening of the patterns of values encountered. The result of this research is a contract of Mudharabah Musytarakah in KJKS BMT UGT Sidogiri of Helper Branch Tlanakan Pamekasan indeed most are in accordance with the Shari’ah banking system, but there is a small part that deviated from the Shari’ah banking system and Legal Aspects BMT lies on the source transparency for the results received by the Client savings and distribution transparency of funds all savers.

  4. SOLUSI PROBLEM PENGHAPUSAN BUNGA DENGAN PENDEKATAN PRODUK BAI‘ BITSAMAN ĀJIL DALAM UPAYA MEWUJUDKAN LEMBAGA KEUANGAN LĀ-RIBA (Studi Kasus di BMT Damar dan BMT-KJKS IAIN Walisongo Semarang

    Directory of Open Access Journals (Sweden)

    Siti Mujibatun

    2016-05-01

    Full Text Available Mudhārabah practices as an icon rather than LKS (Sharia Financial Institution is still raise unresolved polemic associated with akunting system and balance, especially in the domain of financing, so that the stigma of people who think that the operating system is the same as the system of financial calculating interest only the different’s name has been continues. When examined in detail, there are other products that legitimized the contract either by the arguments Syara agreed by the majority of scholars and schools of jurisprudence, namely the contract of Ba‘i Bitsaman Ājil (BBA or purchase by way of pay gradually. This article concludes; First, offers a BBA in finance BMT Damar and BMT-KJKS IAIN Walisongo experiencing significant growth, in addition to a simple transaction models are not complex, almost the akunting system likes fixed rate (fixed rate so that customers become more familiar because the system is not much different from the credit money. Second, BBA financing acounting system can be separated from other products offered by BMT and not to be come one system with murābahah financing. Third, although the BBA acounting system similar to the system of interest and somewhat complicated because managers have the purchase to be come representer for wakālah contract to goods of customers, but offers and akunting BBA financing is more flexible and is not affected by rising interest rates as the often occurs in LKK Conventional Financial Institutional

  5. 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

  6. 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.

  7. APLIKASI PENGOLAHAN DATA NASABAH KOPERASI JASA KEUANGAN BMT ARTHA MANDIRI AL MIFTAH KOTA METRO

    Directory of Open Access Journals (Sweden)

    M. Nur Salim

    2015-02-01

    Full Text Available Perancangan system yang baru untuk aplikasi pengolahan data nasabah pada koperasi jasa keuangan syari’ah (KJKS balai usaha mandiri terpadu (BMT artha mandiri Al Miftah Kota Metro yaitu menggunakan aliran informasi, diagram konteks, bagan alir dokumen, dan data flow diagram (DFD, entry relationship diagram (ERD, dan normalisasi. Bahasa pemograman yang digunakan yaitu Delphi 7.Berdasarkan perancangan aplikasi pengolahan data jaminan nasabah dibuat, maka proses pengolahan data jaminan nasabah dapat berjalan dengan cepat, yaitu entry data dilakukan menggunakan computer yang telah terprogram sehingga proses pengolahan data menjadi lebih cepat dari sebelumnya. Perancangan aplikasi pengolahan data jaminan nasabah terdiri dari login user, tampilan menu, entry data nasabah dan data jaminan, ubah data nasabah dan data jaminan, lihat data nasabah dan data jaminan, cetak laporan data nasabah dan cetak laporan data jaminan. Sehingga dalam aplikasi pengolahan data jaminan nasabah akan menghasilkan laporan data nasabah serta laporan data jaminan dan aplikasi ini dapat menghasilkan dokumen sebagai arsip fisik dalam bentuk cetakan laporan maupun arsip elektronik dalam bentuk data/file.

  8. Optimal orientation in flows : Providing a benchmark for animal movement strategies

    NARCIS (Netherlands)

    McLaren, James D.; Shamoun-Baranes, Judy; Dokter, Adriaan M.; Klaassen, Raymond H. G.; Bouten, Willem

    2014-01-01

    Animal movements in air and water can be strongly affected by experienced flow. While various flow-orientation strategies have been proposed and observed, their performance in variable flow conditions remains unclear. We apply control theory to establish a benchmark for time-minimizing (optimal)

  9. Methods for providing decision makers with optimal solutions for multiple objectives that change over time

    CSIR Research Space (South Africa)

    Greeff, M

    2010-09-01

    Full Text Available Decision making - with the goal of finding the optimal solution - is an important part of modern life. For example: In the control room of an airport, the goals or objectives are to minimise the risk of airplanes colliding, minimise the time that a...

  10. 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.

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

    KAUST Repository

    Ghazzai, Hakim; Yaacoub, Elias E.; Alouini, Mohamed-Slim; Abu-Dayya, Adnan A.

    2012-01-01

    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.

  12. Optimized expression and purification of NavAb provide the structural insight into the voltage dependence.

    Science.gov (United States)

    Irie, Katsumasa; Haga, Yukari; Shimomura, Takushi; Fujiyoshi, Yoshinori

    2018-01-01

    Voltage-gated sodium channels are crucial for electro-signalling in living systems. Analysis of the molecular mechanism requires both fine electrophysiological evaluation and high-resolution channel structures. Here, we optimized a dual expression system of NavAb, which is a well-established standard of prokaryotic voltage-gated sodium channels, for E. coli and insect cells using a single plasmid vector to analyse high-resolution protein structures and measure large ionic currents. Using this expression system, we evaluated the voltage dependence and determined the crystal structures of NavAb wild-type and two mutants, E32Q and N49K, whose voltage dependence were positively shifted and essential interactions were lost in voltage sensor domain. The structural and functional comparison elucidated the molecular mechanisms of the voltage dependence of prokaryotic voltage-gated sodium channels. © 2017 Federation of European Biochemical Societies.

  13. Numerical study of the THM effects on the near-field safety of a hypothetical nuclear waste repository - BMT1 of the DECOVALEX III project. Part 1: conceptualization and characterization of the problems and summary of results

    International Nuclear Information System (INIS)

    Chijimatsu, M.; Nguyen, T.S.; Jing, L.; De Jonge, J.; Kohlmeier, M.; Millard, A.; Rejeb, A.; Rutqvist, J.; Souley, M.; Sugita, Y.

    2004-01-01

    Geological disposal of the spent nuclear fuel uses often the concept of multiple barrier systems. In order to predict the performance of these barriers, mathematical models have been developed, verified and validated against analytical solutions, laboratory tests and field experiments within the international DECOVALEX III project. These models in general consider the full coupling of thermal (T), hydraulic (H) and mechanical (M) processes that would prevail in the geological media around the repository. For Bench Mark Test no. 1 (BMT1) of the DECOVALEX III project, seven multinational research teams studied the implications of coupled THM processes on the safety of a hypothetical nuclear waste repository at the near-field and are presented in three accompany papers in this issue. This paper is the first of the three companion papers, which provides the conceptualization and characterization of the BMT1 as well as some general conclusions based on the findings of the numerical studies. It also shows the process of building confidence in the mathematical models by calibration with a reference T-H-M experiment with realistic rock mass conditions and bentonite properties and measured outputs of thermal, hydraulic and mechanical variables

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

    Directory of Open Access Journals (Sweden)

    Nadjla Hariri

    2013-03-01

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

  15. Optimal support techniques when providing mechanical ventilation to patients with acute respiratory distress syndrome.

    Science.gov (United States)

    Parissopoulos, Stelios; Mpouzika, Meropi DA; Timmins, Fiona

    2017-01-01

    Adult respiratory distress syndrome (ARDS) is a type of acute diffuse lung injury characterized by severe inflammation, increased pulmonary vascular permeability and a loss of aerated lung tissue. The effects of high fraction of inspired oxygen (FiO 2 ) include oxygen toxicity manifested by damage to the lung parenchyma in the acute phase of lung injury. There is still a high mortality rate among this group of patients, so clinically sensitive evidence-based interventions are paramount to maximize survival chances during critical care. The aim of this article is to explore the current opinion concerning optimal mechanical ventilation support techniques for patients with acute respiratory distress syndrome. A literature search of clinical trials and observation studies, reviews, discussion papers, meta-analyses and clinical guidelines written in English up to 2015, derived from the databases of Scopus, CINAHL, Cochrane Library databases and PubMed was conducted. Low tidal volume, pressure limitation and prone positioning in severe ARDS patients appear to be of some benefit. More research is required and further development and use of standardized protocols is an important strategy for reducing practice variations across disciplines, as well as giving clear guidelines to nurses practising in critical care. There is also evidence that this syndrome is under-diagnosed and the utilization of lung protective ventilation is still variable. It is important that nurses have underlying knowledge of both aetiology of ARDS and ventilation management, and that they monitor patients very closely. The adoption of a low tidal ventilation protocol, which is based on quality evidence guidelines, the value of rescue therapies and patient observation practices in the overall patient management, and the need to place emphasis on long-term patient outcomes, all these emerge as key factors for consideration and future research. However, there is also a need for more research that would

  16. Sugammadex to reverse neuromuscular blockade and provide optimal conditions for motor-evoked potential monitoring

    Directory of Open Access Journals (Sweden)

    Mehdi Trifa

    2017-01-01

    Full Text Available Sugammadex is a novel pharmacologic agent, which reverses neuromuscular blockade (NMB via a mechanism that differs completely from acetylcholinesterase inhibitors. By encapsulating rocuronium, sugammadex can provide recovery of neuromuscular function even when there is a profound degree of NMB. We report anecdotal experience with the use of sugammadex to reverse NMB to facilitate intraoperative neurophysiological monitoring (motor evoked potentials in an adolescent with scoliosis during posterior spinal fusion. Its potential application in this unique clinical scenario is discussed, and potential dosing schemes are reviewed.

  17. 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

  18. Severity, course, and predictors of sleep disruption following hematopoietic cell transplantation: a secondary data analysis from the BMT CTN 0902 trial.

    Science.gov (United States)

    Jim, Heather S L; Sutton, Steven; Majhail, Navneet S; Wood, William A; Jacobsen, Paul B; Wingard, John R; Wu, Juan; Knight, Jennifer M; Syrjala, Karen L; Lee, Stephanie J

    2018-03-07

    Sleep disruption has received little attention in hematopoietic cell transplantation (HCT). The goal of this study was to describe severity, course, and predictors of sleep disruption following HCT. A secondary data analysis was conducted of the Blood and Marrow Transplantation Clinical Trials Network (BMT CTN) 0902 study. Participants completed a modified version of the Pittsburgh Sleep Quality Index prior to transplant and 100 and 180 days posttransplant. Growth mixture models were used to characterize subgroups of patients based on baseline sleep disruption and change over time. A total of 570 patients (mean age 55 years, 42% female) were included in the current analyses. Patients could be grouped into four distinct classes based on sleep disruption: (1) clinically significant sleep disruption at baseline that did not improve over time (20%); (2) clinically significant sleep disruption at baseline that improved over time (22%); (3) sleep disruption that did not reach clinical significance at baseline and did not improve over time (45%); and (4) no sleep disruption at baseline or over time (13%). These data provide a more comprehensive understanding of sleep disruption that can be used to develop interventions to improve sleep in HCT recipients.

  19. 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

  20. Patient-provider communication and low-income adults: age, race, literacy, and optimism predict communication satisfaction.

    Science.gov (United States)

    Jensen, Jakob D; King, Andy J; Guntzviller, Lisa M; Davis, LaShara A

    2010-04-01

    To assess whether literacy, numeracy, and optimism are related to low-income adults' satisfaction with their healthcare provider's communication skills. Low-income adults (N=131) were recruited from seven counties in Indiana through University extension programs. To achieve research triangulation, participants were surveyed and interviewed about their communication satisfaction with health providers. Survey data revealed that four variables significantly predicted satisfaction: age, race, literacy, and optimism. Low-income adults in the current study were more critical of their healthcare provider's communication skills if they were younger, White, functionally literate, and pessimistic. Follow-up interviews confirmed this pattern and suggested it was a byproduct of patient activism. In low-income populations, communication satisfaction may be lower for groups that are traditionally active in doctor-patient interactions (e.g., younger patients, patients with higher literacy skills). Healthcare providers should be aware that older, non-White, optimistic, and literacy deficient patients report greater communication satisfaction than their younger, White, pessimistic, and functionally literate peers. Both groups may be coping with their situation, the former by withdrawing and the latter by actively pushing for a higher standard of care. Healthcare providers should continue to seek out ways to facilitate dialogue with these underserved groups. 2009 Elsevier Ireland Ltd. All rights reserved.

  1. 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.

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

    Science.gov (United States)

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

    2015-01-01

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

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

    Science.gov (United States)

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

    2015-01-01

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

  4. PBSCT is associated with poorer survival and increased chronic GvHD than BMT in Japanese paediatric patients with acute leukaemia and an HLA-matched sibling donor.

    Science.gov (United States)

    Shinzato, Aki; Tabuchi, Ken; Atsuta, Yoshiko; Inoue, Masami; Inagaki, Jiro; Yabe, Hiromasa; Koh, Katsuyoshi; Kato, Koji; Ohta, Hideaki; Kigasawa, Hisato; Kitoh, Toshiyuki; Ogawa, Atsushi; Takahashi, Yoshiyuki; Sasahara, Yoji; Kato, Shun-Ichi; Adachi, Souichi

    2013-09-01

    Peripheral blood stem cells (PBSC) may be used as an alternative to bone marrow (BM) for allogeneic transplantation. Since peripheral blood stem cell bank from unrelated volunteer donor has been started in Japan, use of PBSC allografts may be increased. Therefore we surveyed the outcomes of Japanese leukemia children after PBSC and BM transplantation. This retrospective study compared the outcomes of 661 children (0-18 years) with acute lymphoblastic leukaemia (ALL) or acute myeloid leukaemia (AML) who received their first allogeneic peripheral blood stem cell transplantation (PBSCT; n = 90) or bone marrow transplantation (BMT; n = 571) from HLA-matched siblings between January 1996 and December 2007. Neutrophil recovery was faster after PBSCT than after BMT (ALL: P vs. 9.9%, P = 0.0066; AML: 41.6% vs. 11.1%, P vs. 57.1%, P = 0.0257). The 5-year overall survival (OS) was lower after PBSCT than after BMT for ALL (42.4% vs. 63.7%, P = 0.0032) and AML (49.8% vs. 71.8%, P = 0.0163). Multivariate analysis revealed the use of PBSC was a significant risk factor for DFS and OS. PBSCT and BMT did not differ in relapse rate, acute GvHD for ALL and AML, or in DFS for AML. PBSC allografts in Japanese children engraft faster but are associated with poorer survival and increased chronic GvHD. Copyright © 2013 Wiley Periodicals, Inc.

  5. LEMBAGA KEUANGAN MIKRO SYARIAH: EKSISTENSI DAN AKSESIBILITASNYA BAGI PEMBIAYAAN USAHATANI DI SUMATERA BARAT (Studi Kasus: Koperasi Jasa Keuangan Syariah (KJKS Baitul Maal Wat Tamwil (BMT

    Directory of Open Access Journals (Sweden)

    Widya Fitriana

    2016-12-01

    Full Text Available Farm financing is one of the factors facilitating the development of agriculture which allow farmers to expand the scale of farming and adopt new technologies. Unfortunately, a number of financial institutions often perceive farmers as "unbankable poor" that is costly to finance. KJKS BMT is one financial institution that is initiated by the government of West Sumatra's mission of poverty reduction in rural areas in particular to improve the access of small farmers to credit. So this study aims to identify and analyze the existence and accessibility of financing KJKS BMT in serving the financing of farming in West Sumatra. This study was conducted in a multi-stage random sampling, cities that randomly selected are Kota Padang and Bukittinggi, and then for each city, one KJKS BMT is also randomly selected. Primary data were collected by interviewing 60 respondent’s farmers. This research uses grounded research methods and data analysis in qualitative descriptive. Period of observation data for 2 years ie 2012-2014. Existence of KJKS BMT to finance farming measured by used five indicator namely a The number of customers, b The number of farmer customers, c credit share for the agricultural, d The number of farm financing and e Development of BMT’s human resources. Furthermore accessibility is measured using six indicators, namely: (a access to information, (b access to loan procedure, (c access to the maximum limit, (d access to the time of disbursement, (e access to loan repayment, and ( f facilitation of access to financing. The results show that (1 although the existence of KJKS BMT start respected by rural communities, and even show a positive growth, but the credit share given by KJKS BMT to farm credit is still very small compared to another sectors (like trade and manufactures which are less than 5%, Even though the level of customer growth of farmers during the past two years is reach 75%, higher than the growth of total customer (2

  6. A synthetic eicosanoid LX-mimetic unravels host-donor interactions in allogeneic BMT-induced GvHD to reveal an early protective role for host neutrophils.

    Science.gov (United States)

    Devchand, Pallavi R; Schmidt, Birgitta A; Primo, Valeria C; Zhang, Qing-yin; Arnaout, M Amin; Serhan, Charles N; Nikolic, Boris

    2005-02-01

    Lipoxin A(4) (LXA(4)) and aspirin-triggered 15-epi-LXA(4) are potent endogenous lipid mediators thought to define the inflammatory set-point. We used single prophylactic administrations of a synthetic aspirin-triggered lipoxin A(4) signal mimetic, ATLa, to probe dynamics of early host-donor interactions in a mouse model for the inflammation-associated multifactorial disease of allogeneic bone marrow transplant (BMT) -induced graft-vs.-host disease (GvHD). We first demonstrated that both host and donor are responsive to the ATLa signals. The simple and restricted regimen of a single prophylactic administration of ATLa [100 ng/mL to donor cells or 1 microg (approximately 50 microg/kg) i.v. to host] was sufficient to delay death. Clinical indicators of weight, skin lesions, diarrhea and eye inflammation were monitored. Histological analyses on day 45 post-BMT showed that the degree of cellular trafficking, particularly neutrophil infiltrate, and protection of end-organ target pathology are different, depending on whether the host or donor was treated with ATLa. Taken together, these results chart some ATLa protective effects on GvHD cellular dynamics over time and identify a previously unrecognized effect of host neutrophils in the early phase post-BMT as important determinants in the dynamics of GvHD onset and progression.-Devchand, P. R., Schmidt, B. A., Primo, V. C., Zhang, Q.-y., Arnaout, M. A., Serhan, C. N., Nikolic, B. A synthetic eicosanoid LX-mimetic unravels host-donor interactions in allogeneic BMT-induced GvHD to reveal an early protective role for host neutrophils.

  7. Toward Optimal Decision Making among Vulnerable Patients Referred for Cardiac Surgery: A Qualitative Analysis of Patient and Provider Perspectives.

    Science.gov (United States)

    Gainer, Ryan A; Curran, Janet; Buth, Karen J; David, Jennie G; Légaré, Jean-Francois; Hirsch, Gregory M

    2017-07-01

    Comprehension of risks, benefits, and alternative treatment options has been shown to be poor among patients referred for cardiac interventions. Patients' values and preferences are rarely explicitly sought. An increasing proportion of frail and older patients are undergoing complex cardiac surgical procedures with increased risk of both mortality and prolonged institutional care. We sought input from patients and caregivers to determine the optimal approach to decision making in this vulnerable patient population. Focus groups were held with both providers and former patients. Three focus groups were convened for Coronary Artery Bypass Graft (CABG), Valve, or CABG +Valve patients ≥ 70 y old (2-y post-op, ≤ 8-wk post-op, complicated post-op course) (n = 15). Three focus groups were convened for Intermediate Medical Care Unit (IMCU) nurses, Intensive Care Unit (ICU) nurses, surgeons, anesthesiologists and cardiac intensivists (n = 20). We used a semi-structured interview format to ask questions surrounding the informed consent process. Transcribed audio data was analyzed to develop consistent and comprehensive themes. We identified 5 main themes that influence the decision making process: educational barriers, educational facilitators, patient autonomy and perceived autonomy, patient and family expectations of care, and decision making advocates. All themes were influenced by time constraints experienced in the current consent process. Patient groups expressed a desire to receive information earlier in their care to allow time to identify personal values and preferences in developing plans for treatment. Both groups strongly supported a formal approach for shared decision making with a decisional coach to provide information and facilitate communication with the care team. Identifying the barriers and facilitators to patient and caretaker engagement in decision making is a key step in the development of a structured, patient-centered SDM approach. Intervention

  8. Recovery of Unrelated Donors of Peripheral Blood Stem Cells versus Bone Marrow: A Prespecified Analysis from the Phase III BMT CTN Protocol 0201

    Science.gov (United States)

    Burns, Linda J.; Logan, Brent R.; Chitphakdithai, Pintip; Miller, John P.; Drexler, Rebecca; Spellman, Stephen; Switzer, Galen E.; Wingard, John R.; Anasetti, Claudio; Confer, Dennis L.

    2016-01-01

    We report a comparison of time to recovery, side effects, and change in blood counts from baseline to post-donation of unrelated donors who participated in the Blood and Marrow Transplant Clinical Trials Network (BMT CTN) phase III randomized, multicenter trial (0201) in which donor/recipient pairs were randomized to either peripheral blood stem cell (PBSC) or bone marrow (BM) donation. Of the entire cohort, 262 donated PBSC and 264 donated BM; 372 (71%) donors were from domestic and 154 (29%) from international centers (145 German and 9 Canadian). PBSC donors recovered in less time with a median time to recovery of 1 week compared to 2.3 weeks for BM donors. The number of donors reporting full recovery was significantly greater for donors of PBSC than of BM at 1, 2, and 3 weeks and 3 months post-donation. Multivariate analysis showed that PBSC donors were more likely to recover at any time post donation compared to BM donors (HR 2.08 [95% CI 1.73–2.50], pdonor and donation in more recent years. Donors of BM were more likely to report grade 2–4 skeletal pain, body symptoms and fatigue at 1 week post donation. In logistic regression analysis of domestic donors only in which toxicities at peri-collection time points (day 5 filgrastim for PBSC donors and day 2 post-collection of BM donors) could be analyzed, no variable was significantly associated with grade 2–4 skeletal pain, including product donated (BM vs PBSC, OR 1.13 [95% CI 0.74–1.74], p=0.556). Blood counts were impacted by product donated, with mean change from baseline to post-donation being greater for white blood cells, neutrophils, mononuclear cells and platelets in PBSC donors whereas BM donors experienced a greater mean change in hemoglobin. This analysis provided an enhanced understanding of donor events as product donated was independent of physician bias or donor preference. PMID:27013014

  9. Spatial data mining of pipeline data provides new wave of O and M capital cost optimization opportunities

    Energy Technology Data Exchange (ETDEWEB)

    Richardson, D. [QM4 Engineering Ltd., Calgary, AB (Canada)

    2010-07-01

    This paper discussed the cost optimization benefits of spatial data mining in upstream oil and gas pipeline operations. The data mining method was used to enhance the characterization and management of internal corrosion risk and to optimize pipeline corrosion inhibition, as well as to identify pipeline network hydraulic bottlenecks. The data mining method formed part of a quality-based pipeline integrity management program. Results of the data mining study highlighted trends in well operational data and historical pipeline failure events. Use of the methodology resulted in significant savings. It was demonstrated that the key to a successful pipeline management model is a complete inventory characterization and determination of failure susceptibility profiles through the application of rigorous data standards. 4 tabs., 8 figs.

  10. Optimal design for MRI surface coils

    International Nuclear Information System (INIS)

    Rivera, M.; Vaquero, J.J.; Santos, A.; Pozo, F. del; Ruiz-Cabello, J.

    1997-01-01

    To demonstrate the possibility of designing and constructing specific surface coils or antennae for MRI viewing of each particular tissue producing better results than those provided by a general purpose surface coil. The study was performed by the Bioengineering and Telemedicine Group of Madrid Polytechnical University and was carried out at the Pluridisciplinary Institute of the Universidad Complutense in Madrid, using a BMT-47/40 BIOSPEC resonance unit from Bruker. Surface coils were custom-designed and constructed for each region to be studied, and optimized to make the specimen excitation field as homogeneous as possible, in addition to reducing the brightness artifact. First, images were obtained of a round, water phantom measuring 50 mm in diameter, after which images of laboratory rats and rabbits were obtained. The images thus acquired were compared with the results obtained with the coil provided by the manufacturer of the equipment, and were found to be of better quality, allowing the viewing of deeper tissue for the specimen as well as reducing the brightness artifact. The construction of surface coils for viewing specific tissues or anatomical regions improves image quality. The next step in this ongoing project will be the application of these concepts to units designed for use in humans. (Author) 14 refs

  11. Ground based remote sensing and physiological measurements provide novel insights into canopy photosynthetic optimization in arctic shrubs

    Science.gov (United States)

    Magney, T. S.; Griffin, K. L.; Boelman, N.; Eitel, J.; Greaves, H.; Prager, C.; Logan, B.; Oliver, R.; Fortin, L.; Vierling, L. A.

    2014-12-01

    Because changes in vegetation structure and function in the Arctic are rapid and highly dynamic phenomena, efforts to understand the C balance of the tundra require repeatable, objective, and accurate remote sensing methods for estimating aboveground C pools and fluxes over large areas. A key challenge addressing the modelling of aboveground C is to utilize process-level information from fine-scale studies. Utilizing information obtained from high resolution remote sensing systems could help to better understand the C source/sink strength of the tundra, which will in part depend on changes in photosynthesis resulting from the partitioning of photosynthetic machinery within and among deciduous shrub canopies. Terrestrial LiDAR and passive hyperspectral remote sensing measurements offer an effective, repeatable, and scalable method to understand photosynthetic performance and partitioning at the canopy scale previously unexplored in arctic systems. Using a 3-D shrub canopy model derived from LiDAR, we quantified the light regime of leaves within shrub canopies to gain a better understanding of how light interception varies in response to the Arctic's complex radiation regime. This information was then coupled with pigment sampling (i.e., xanthophylls, and Chl a/b) to evaluate the optimization of foliage photosynthetic capacity within shrub canopies due to light availability. In addition, a lab experiment was performed to validate evidence of canopy level optimization via gradients of light intensity and leaf light environment. For this, hyperspectral reflectance (photochemical reflectance index (PRI)), and solar induced fluorescence (SIF)) was collected in conjunction with destructive pigment samples (xanthophylls) and chlorophyll fluorescence measurements in both sunlit and shaded canopy positions.

  12. 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

  13. 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

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

    DEFF Research Database (Denmark)

    Faria, Pedro; Soares, Tiago; Pinto, Tiago

    2013-01-01

    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......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...... grid operation. Computational intelligence methods can be used to give a suitable solution for the resources scheduling problem considering the time constraints. This paper proposes a methodology for a joint dispatch of demand response and distributed generation to provide energy and reserve...

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2005-02-15

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

  16. 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.

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

    International Nuclear Information System (INIS)

    Menlove, H.O.; Beddingfield, D.H.; Pickrell, M.M.

    1997-01-01

    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 252 Cf open-quotes add-a-sourceclose 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 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

  18. Psychosocial interventions in opiate substitution treatment services: does the evidence provide a case for optimism or nihilism?

    Science.gov (United States)

    Day, Ed; Mitcheson, Luke

    2017-08-01

    Clinical guidelines from around the world recommend the delivery of psychosocial interventions as part of routine care in opiate substitution treatment (OST) programmes. However, although individual studies demonstrate benefit for structured psychosocial interventions, meta-analytical reviews find no benefit for manual-based treatments beyond 'routine counselling'. We consider the question of whether OST medication alone is sufficient to produce the required outcomes, or whether greater efforts should be made to provide high-quality psychosocial treatment alongside medication. In so doing, we consider the nuances and limitations of the evidence and the organizational barriers to transferring it into routine practice. The evidence base for psychosocial interventions in opiate substitution treatment (OST) services can be interpreted both positively and negatively. Steering a path between overly optimistic or nihilistic interpretations of the value of psychosocial treatment in OST programmes is the most pragmatic approach. Greater attention should be paid to elements common to all psychological treatments (such as therapeutic alliance), but also to the sequencing and packaging of psychosocial elements and their linkage to peer-led interventions. © 2017 Society for the Study of Addiction.

  19. Optimal level of Au nanoparticles on Pd nanostructures providing remarkable electro-catalysis in direct ethanol fuel cell

    Science.gov (United States)

    Dutta, Abhijit; Mondal, Achintya; Broekmann, Peter; Datta, Jayati

    2017-09-01

    The designing and fabrication of economically viable electro-catalysts for ethanol oxidation reaction (EOR) in direct ethanol fuel cell (DEFC) has been one of the challenging issues over the decades. The present work deals with controlled synthesis of Pd coupled Au nano structure, as the non Pt group of catalysts for DEFC. The catalytic proficiency of bimetallic NPs (2-10 nm) are found to be strongly dependent on the Pd:Au ratio. The over voltage of EOR is considerably reduced by ∼260 mV with 33% of Au content in PdAu composition compared to Pd alone, demonstrating the beneficial role of Au and/or its surface oxides providing oxygen species at much lower potentials compared to Pd. The catalysts are further subjected to electrochemical analysis through voltammetry along with the temperature study on activation parameters. The quantitative determination of EOR products during the electrolysis is carried out by ion chromatographic analysis; vis-a-vis the coulombic efficiency of the product yield were derived from each of the compositions. Furthermore, a strong correlation among catalytic performances and bimetallic composition is established by screening the catalysts in an in-house fabricated direct ethanol anion exchange membrane fuel cell, DE(AEM)FC. The performance testing demonstrates outstanding increase of peak power density (∼40 mWcm-2, 93%) for the best accomplishment Au (33%) covered Pd (67%) catalyst in comparison with the monometallic Pd.

  20. 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

    International Nuclear Information System (INIS)

    Jing, L.

    2005-02-01

    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 the variably

  1. 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

  2. Higher CD3(+) and CD34(+) cell doses in the graft increase the incidence of acute GVHD in children receiving BMT for thalassemia.

    Science.gov (United States)

    Gaziev, J; Isgrò, A; Marziali, M; Daniele, N; Gallucci, C; Sodani, P; Simone, M D; Adorno, G; Paciaroni, K; Andreani, M; Lanti, A; Del Proposto, G; Testi, M; De Angelis, G; Roveda, A; Alfieri, C; Saltarelli, F; Lucarelli, G

    2012-01-01

    We evaluated the incidence of GVHD, risk factors and the impact of graft composition on acute GVHD (aGVHD) in 92 children who underwent BMT for thalassemia following busulfan/cyclophosphamide (BUCY)-based conditioning regimens and GVHD prophylaxis with CSA/short-MTX and methylprednisolone. The incidence of grade 2-4 and 3-4 aGVHD was 35% (95% confidence interval (CI) 25-44) and 9% (95% CI 4-16), respectively. We found that CD3(+) and CD34(+) cell doses above the median were associated with high incidence of grade 2-4 aGVHD (49 vs 20%, P=0.005 and 46 vs 23%, P=0.021, respectively). In multivariate analysis, high CD3(+) (hazard ratio (HR) 4.6; 95% CI 1.4-14.7; P=0.010) and CD34(+) (HR 4.3; 95% CI 1.4-12.7; P=0.011) cell doses were associated with grade 2-4 aGVHD. We further examined the effect of CD3(+) and CD34(+) cell doses on aGVHD using quartile cutoff points and found a minimum threshold for CD3(+) (38 × 10(6)/kg) and CD34(+) (4 × 10(6)/kg) cells above which the incidence of grade 2-4 aGVHD is significantly increased. This study shows for the first time a positive correlation between the number of CD3(+) and CD34(+) cells and aGVHD in children receiving sibling BMT, and indicates that using tailored and more intensive post transplant immunosuppression may permit to better control aGVHD.

  3. 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.

  4. 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.

  5. Patient-reported outcomes and socioeconomic status as predictors of clinical outcomes following hematopoietic stem cell transplantation: A study from the BMT CTN 0902 trial

    Science.gov (United States)

    Knight, Jennifer M; Syrjala, Karen L; Majhail, Navneet S; Martens, Michael; Le-Rademacher, Jennifer; Logan, Brent R; Lee, Stephanie J; Jacobsen, Paul B; Wood, William A; Jim, Heather SL; Wingard, John R; Horowitz, Mary M; Abidi, Muneer H; Fei, Mingwei; Rawls, Laura; Rizzo, J Douglas

    2016-01-01

    This secondary analysis of a large, multi-center Blood and Marrow Transplant Clinical Trials Network (BMT CTN) randomized trial assessed whether patient-reported outcomes (PROs) and socioeconomic status (SES) before hematopoietic stem cell transplantation (HCT) are associated with each other and predictive of clinical outcomes including time to hematopoietic recovery, acute graft-versus-host disease, hospitalization days, and overall survival (OS) among 646 allogeneic and autologous HCT recipients. Pre-transplant Cancer and Treatment Distress (CTXD), Pittsburgh Sleep Quality Index (PSQI), and mental and physical component scores (MCS and PCS) of the SF-36 were correlated with each other and with SES variables. PROs and SES variables were further evaluated as predictors of clinical outcomes, with the PSQI and CTXD evaluated as OS predictors (pincome was related to worse physical functioning (p=.005) and increased distress (p=.008); lack of employment pre-transplant was associated with worse physical functioning (p<.01); unmarried status was associated with worse sleep (p=.003). In this large heterogeneous cohort of HCT recipients, while PROs and SES variables were correlated at baseline, they were not associated with any clinical outcomes. Future research should focus on HCT recipients at greater psychosocial disadvantage. PMID:27565521

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2005-02-15

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

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

    International Nuclear Information System (INIS)

    Chan, T.; Stanchell, F.W.; Christiansson, R.; Boulton, G.S.; Mas lvars, D.

    2005-02-01

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

  8. 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

  9. 'Outbreak Gold Standard' selection to provide optimized threshold for infectious diseases early-alert based on China Infectious Disease Automated-alert and Response System.

    Science.gov (United States)

    Wang, Rui-Ping; Jiang, Yong-Gen; Zhao, Gen-Ming; Guo, Xiao-Qin; Michael, Engelgau

    2017-12-01

    The China Infectious Disease Automated-alert and Response System (CIDARS) was successfully implemented and became operational nationwide in 2008. The CIDARS plays an important role in and has been integrated into the routine outbreak monitoring efforts of the Center for Disease Control (CDC) at all levels in China. In the CIDARS, thresholds are determined using the "Mean+2SD‟ in the early stage which have limitations. This study compared the performance of optimized thresholds defined using the "Mean +2SD‟ method to the performance of 5 novel algorithms to select optimal "Outbreak Gold Standard (OGS)‟ and corresponding thresholds for outbreak detection. Data for infectious disease were organized by calendar week and year. The "Mean+2SD‟, C1, C2, moving average (MA), seasonal model (SM), and cumulative sum (CUSUM) algorithms were applied. Outbreak signals for the predicted value (Px) were calculated using a percentile-based moving window. When the outbreak signals generated by an algorithm were in line with a Px generated outbreak signal for each week, this Px was then defined as the optimized threshold for that algorithm. In this study, six infectious diseases were selected and classified into TYPE A (chickenpox and mumps), TYPE B (influenza and rubella) and TYPE C [hand foot and mouth disease (HFMD) and scarlet fever]. Optimized thresholds for chickenpox (P 55 ), mumps (P 50 ), influenza (P 40 , P 55 , and P 75 ), rubella (P 45 and P 75 ), HFMD (P 65 and P 70 ), and scarlet fever (P 75 and P 80 ) were identified. The C1, C2, CUSUM, SM, and MA algorithms were appropriate for TYPE A. All 6 algorithms were appropriate for TYPE B. C1 and CUSUM algorithms were appropriate for TYPE C. It is critical to incorporate more flexible algorithms as OGS into the CIDRAS and to identify the proper OGS and corresponding recommended optimized threshold by different infectious disease types.

  10. DECOVALEX 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

    International Nuclear Information System (INIS)

    Andersson, Johan; Staub, Isabelle; Knight, Les

    2005-02-01

    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 to real problems in

  11. 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

  12. Optimization of Palmitic Acid Composition in Crude Oleic Acid to Provide Specifications of Titer and Cloud Point of Distillate Oleic Acid using a Flash Distiller

    OpenAIRE

    Muhammad Yusuf Ritonga

    2010-01-01

    Titer and cloud point Distilled Oleic Acid’s higher than standard on feed composition palmitic acid (C15H31COOH) or C16 11.2 %. Feed composition C16, top temperature precut and bottom main distiller column were optimized to produce DOA. A factorial design 3 independent variables 3 X 2 X 3, twice repeating’s applied to observe effects of feed composition C16 to quality parameters. On the optimum C16 feed composition at 5.20 % was produced DOA with titer 6.8 oC, cloud point 5.0 oC (inside it...

  13. Optimization of Palmitic Acid Composition in Crude Oleic Acid to Provide Specifications of Titer and Cloud Point of Distillate Oleic Acid using a Flash Distiller

    Directory of Open Access Journals (Sweden)

    Muhammad Yusuf Ritonga

    2010-11-01

    Full Text Available Titer and cloud point of Distilled Oleic Acid is higher than is the standard on feed composition palmitic acid (C15H31COOH or C16 11.2 %. Feed composition C16, top temperature precut and bottom main distiller column were optimized to produce DOA. A factorial design with 3 independent variables, 3 X 2 X 3, repeated twice as much, is applied to observe effects of feed composition C16 to quality parameters. In the optimum C16, feed composition at 5.20 % produced DOA with titer 6.8 oC, cloud point 5.0 oC (inside its specification.

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

    International Nuclear Information System (INIS)

    Khosravie, H.R.

    2000-01-01

    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 effects of thumb motor cortex of normal volunteer by using conventional standard 1.5 T imager and optimized gradient echo techniques. Activating sensory and motor stimulations can be led to, respective cortical area of that stimulation by which oxygenated blood flow is increased in that area (Bold contrast). By designing of a T 2* sensitized gradient echo protocol, thumb's sensory and motor cortex activation is evaluated. A protocol known as F AST i n picker system with the following specifications was used for F MRI: Band Width:24 Hz/Pixel, Tr=101 m Sec , T E=49 m Sec , Flip Angle= 10 deg., N E X=1 ,Slice thickness=5-7 mm F O V=250 mm ,Matrix=128*128 and total scan time= 14 Sec. Stimulation of the motor cortex was performed by periodic movement of dominant thumb in up-down and right-left direction within a Ls hape trajectory of plastic sheet with a frequency about 2 Hz. Then, acquired images in rest and stimulation period were evaluated by S P M 97, S P M 99 b software. 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

  15. Landscape resistance and habitat combine to provide an optimal model of genetic structure and connectivity at the range margin of a small mammal.

    Science.gov (United States)

    Marrotte, R R; Gonzalez, A; Millien, V

    2014-08-01

    We evaluated the effect of habitat and landscape characteristics on the population genetic structure of the white-footed mouse. We develop a new approach that uses numerical optimization to define a model that combines site differences and landscape resistance to explain the genetic differentiation between mouse populations inhabiting forest patches in southern Québec. We used ecological distance computed from resistance surfaces with Circuitscape to infer the effect of the landscape matrix on gene flow. We calculated site differences using a site index of habitat characteristics. A model that combined site differences and resistance distances explained a high proportion of the variance in genetic differentiation and outperformed models that used geographical distance alone. Urban and agriculture-related land uses were, respectively, the most and the least resistant landscape features influencing gene flow. Our method detected the effect of rivers and highways as highly resistant linear barriers. The density of grass and shrubs on the ground best explained the variation in the site index of habitat characteristics. Our model indicates that movement of white-footed mouse in this region is constrained along routes of low resistance. Our approach can generate models that may improve predictions of future northward range expansion of this small mammal. © 2014 John Wiley & Sons Ltd.

  16. 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.

  17. Lung transplantation for idiopathic pulmonary arterial hypertension on intraoperative and postoperatively prolonged extracorporeal membrane oxygenation provides optimally controlled reperfusion and excellent outcome.

    Science.gov (United States)

    Moser, Bernhard; Jaksch, Peter; Taghavi, Shahrokh; Muraközy, Gabriella; Lang, Georg; Hager, Helmut; Krenn, Claus; Roth, Georg; Faybik, Peter; Bacher, Andreas; Aigner, Clemens; Matilla, José R; Hoetzenecker, Konrad; Hacker, Philipp; Lang, Irene; Klepetko, Walter

    2018-01-01

    Lung transplantation for idiopathic pulmonary arterial hypertension has the highest reported postoperative mortality of all indications. Reasons lie in the complexity of treatment of these patients and the frequent occurrence of postoperative left ventricular failure. Transplantation on intraoperative extracorporeal membrane oxygenation support instead of cardiopulmonary bypass and even more the prolongation of extracorporeal membrane oxygenation into the postoperative period helps to overcome these problems. We reviewed our experience with this concept. All patients undergoing bilateral lung transplantation for idiopathic pulmonary arterial hypertension on intraoperative extracorporeal membrane oxygenation with or without prophylactic extracorporeal membrane oxygenation prolongation into the postoperative period between January 2000 and December 2014 were retrospectively analysed. Forty-one patients entered the study. Venoarterial extracorporeal membrane oxygenation support was prolonged into the postoperative period for a median of 2.5 days (range 1-40). Ninety-day, 1-, 3- and 5-year survival rates for the patient collective were 92.7%, 90.2%, 87.4% and 87.4%, respectively. When compared with 31 patients with idiopathic pulmonary arterial hypertension transplanted in the same period of time without prolongation of extracorporeal membrane oxygenation into the postoperative period, the results compared favourably (83.9%, 77.4%, 77.4%, and 77.4%; P = 0.189). Furthermore, these results are among the best results ever reported for this particularly difficult patient population. Bilateral lung transplantation for idiopathic pulmonary arterial hypertension with intraoperative venoarterial extracorporeal membrane oxygenation support seems to provide superior outcome compared with the results reported about the use of cardiopulmonary bypass. Prophylactic prolongation of venoarterial extracorporeal membrane oxygenation into the early postoperative period provides

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

    Science.gov (United States)

    Soekarjo, Damayanti; Zehner, Elizabeth

    2011-10-01

    It is important to support women to exclusively breastfeed for 6 months and continue breastfeeding for 24 months and beyond. It is also necessary to provide the poor with access to affordable ways to improve the quality of complementary foods. Currently, many countries do not have the legal and policy environment necessary to support exclusive and continued breastfeeding. Legislative and policy changes are also necessary for introducing complementary food supplements, allowing them to be marketed to those who need them, and ensuring that marketing remains appropriate and in full compliance with the International Code of Marketing of Breastmilk Substitutes. This paper aims to illustrate the above with examples from Indonesia and to identify legislative requirements for supporting breastfeeding and enabling appropriate access to high-quality complementary food supplements for children 6-24 months of age. Requirements include improved information, training, monitoring and enforcement systems for the International Code of Marketing of Breastmilk Substitutes; implementation and monitoring of the Baby-Friendly Hospital Initiative; establishment of a registration category for complementary food supplements to enhance availability of high-quality, low-cost fortified products to help improve young child feeding; clear identification and marketing of these products as complementary food supplements for 6-24-month-olds so as to promote proper use and not interfere with breastfeeding. © 2011 Blackwell Publishing Ltd.

  19. Gly184 of the Escherichia coli cAMP receptor protein provides optimal context for both DNA binding and RNA polymerase interaction.

    Science.gov (United States)

    Hicks, Matt N; Gunasekara, Sanjiva; Serate, Jose; Park, Jin; Mosharaf, Pegah; Zhou, Yue; Lee, Jin-Won; Youn, Hwan

    2017-10-01

    The Escherichia coli cAMP receptor protein (CRP) utilizes the helix-turn-helix motif for DNA binding. The CRP's recognition helix, termed F-helix, includes a stretch of six amino acids (Arg180, Glu181, Thr182, Val183, Gly184, and Arg185) for direct DNA contacts. Arg180, Glu181 and Arg185 are known as important residues for DNA binding and specificity, but little has been studied for the other residues. Here we show that Gly184 is another F-helix residue critical for the transcriptional activation function of CRP. First, glycine was repeatedly selected at CRP position 184 for its unique ability to provide wild type-level transcriptional activation activity. To dissect the glycine requirement, wild type CRP and mutants G184A, G184F, G184S, and G184Y were purified and their in vitro DNA-binding activity was measured. G184A and G184F displayed reduced DNA binding, which may explain their low transcriptional activation activity. However, G184S and G184Y displayed apparently normal DNA affinity. Therefore, an additional factor is needed to account for the diminished transcriptional activation function in G184S and G184Y, and the best explanation is perturbations in their interaction with RNA polymerase. The fact that glycine is the smallest amino acid could not fully warrant its suitability, as shown in this study. We hypothesize that Gly184 fulfills the dual functions of DNA binding and RNA polymerase interaction by conferring conformational flexibility to the F-helix.

  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. Treatment options for patients with acute myeloid leukemia with a matched sibling donor: a decision analysis.

    Science.gov (United States)

    Sung, Lillian; Buckstein, Rena; Doyle, John J; Crump, Michael; Detsky, Allan S

    2003-02-01

    The role of allogeneic bone marrow transplantation (BMT) in the consolidation of young adults with acute myeloid leukemia (AML) with matched sibling donors (MSD) is controversial. Although BMT is associated with increased event free survival compared with intensive chemotherapy (CT) consolidation, BMT also is associated with increased treatment-related mortality and likely decreased quality of life and life expectancy in patients who do not develop recurrent disease. The authors used decision analysis to compare three strategies for maximizing quality-adjusted life years (QALYs) in patients with AML in first remission with an MSD: BMT All, BMT None (consolidation CT only), or BMT in high-risk patients, as defined by baseline cytogenetic testing (Test strategy). A second decision-analysis tree was then constructed that compared BMT with CT specifically for patients with intermediate cytogenetics. Using expected QALYs as the outcome measure, the Test, BMT All, and BMT None strategies were associated with 20.10 QALYs, 19.63 QALYs, and 18.38 QALYs, respectively. Thus, the Test strategy, with CT for low-risk patients and BMT for intermediate risk and high-risk patients, was expected to be the optimal strategy. In the intermediate cytogenetic decision analysis, although the expected QALY for BMT recipients was higher compared with CT recipients (19.78 QALYs vs. 18.75 QALYs), because of uncertainty in variable estimates, the optimal choice was less clear. CT consolidation is a reasonable option for patients with AML who have favorable cytogenetics, even if an MSD is available. This model provides a framework from which patients with AML and their physicians can make decisions about consolidation therapy. Copyright 2003 American Cancer Society.DOI 10.1002/cncr.11098

  2. 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.

  3. 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.

  4. Optimizing detectability

    International Nuclear Information System (INIS)

    Anon.

    1992-01-01

    HPLC is useful for trace and ultratrace analyses of a variety of compounds. For most applications, HPLC is useful for determinations in the nanogram-to-microgram range; however, detection limits of a picogram or less have been demonstrated in certain cases. These determinations require state-of-the-art capability; several examples of such determinations are provided in this chapter. As mentioned before, to detect and/or analyze low quantities of a given analyte at submicrogram or ultratrace levels, it is necessary to optimize the whole separation system, including the quantity and type of sample, sample preparation, HPLC equipment, chromatographic conditions (including column), choice of detector, and quantitation techniques. A limited discussion is provided here for optimization based on theoretical considerations, chromatographic conditions, detector selection, and miscellaneous approaches to detectability optimization. 59 refs

  5. Optimally Stopped Optimization

    Science.gov (United States)

    Vinci, Walter; Lidar, Daniel

    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 the performance of a D-Wave 2X quantum annealer and the 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 between one to two orders of magnitude faster than the HFS solver.

  6. BMT Abatacept for Non-Malignant Diseases

    Science.gov (United States)

    2018-05-16

    Hurler Syndrome; Fanconi Anemia; Glanzmann Thrombasthenia; Wiskott-Aldrich Syndrome; Chronic Granulomatous Disease; Severe Congenital Neutropenia; Leukocyte Adhesion Deficiency; Shwachman-Diamond Syndrome; Diamond-Blackfan Anemia; Dyskeratosis-congenita; Chediak-Higashi Syndrome; Severe Aplastic Anemia; Thalassemia Major; Hemophagocytic Lymphohistiocytosis; Sickle Cell Disease

  7. Bone Marrow Transplantation (BMT) and Gene Replacement ...

    African Journals Online (AJOL)

    Abstract. Background: Sickle cell anemia (SCA) forms one of the neglected tropical disease of genetic aetiology. Unlike many complex genetic diseases inherited on a multiallelic pattern, SCA is a hemoglobinopathy of Mendelian type genetic inheritance. The SCA trait is inherited through a recessive autosomal link, with the ...

  8. 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.

  9. Optimal Pollution, Optimal Population, and Sustainability

    OpenAIRE

    Ulla Lehmijoki

    2012-01-01

    This paper develops a long-run consumer optimization model with endogenous pollution and endogenous population. The positive check increases mortality if pollution increases. The optimal path is sustainable if it provides non-decreasing consumption for a non-decreasing population. As usually, optimality and sustainability may conflict; with population endogenous to pollution, this conflict may ultimately lead the human species toward self-imposed extinction. Not even technical progress can wa...

  10. 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

  11. Optimization and approximation

    CERN Document Server

    Pedregal, Pablo

    2017-01-01

    This book provides a basic, initial resource, introducing science and engineering students to the field of optimization. It covers three main areas: mathematical programming, calculus of variations and optimal control, highlighting the ideas and concepts and offering insights into the importance of optimality conditions in each area. It also systematically presents affordable approximation methods. Exercises at various levels have been included to support the learning process.

  12. Optimizing Plutonium stock management

    International Nuclear Information System (INIS)

    Niquil, Y.; Guillot, J.

    1997-01-01

    Plutonium from spent fuel reprocessing is reused in new MOX assemblies. Since plutonium isotopic composition deteriorates with time, it is necessary to optimize plutonium stock management over a long period, to guarantee safe procurement, and contribute to a nuclear fuel cycle policy at the lowest cost. This optimization is provided by the prototype software POMAR

  13. Optimization with Extremal Dynamics

    International Nuclear Information System (INIS)

    Boettcher, Stefan; Percus, Allon G.

    2001-01-01

    We explore a new general-purpose heuristic for finding high-quality solutions to hard discrete optimization problems. The method, called extremal optimization, is inspired by self-organized criticality, a concept introduced to describe emergent complexity in physical systems. Extremal optimization successively updates extremely undesirable variables of a single suboptimal solution, assigning them new, random values. Large fluctuations ensue, efficiently exploring many local optima. We use extremal optimization to elucidate the phase transition in the 3-coloring problem, and we provide independent confirmation of previously reported extrapolations for the ground-state energy of ±J spin glasses in d=3 and 4

  14. 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

  15. 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

  16. 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

  17. Initiating statistical maintenance optimization

    International Nuclear Information System (INIS)

    Doyle, E. Kevin; Tuomi, Vesa; Rowley, Ian

    2007-01-01

    Since the 1980 s maintenance optimization has been centered around various formulations of Reliability Centered Maintenance (RCM). Several such optimization techniques have been implemented at the Bruce Nuclear Station. Further cost refinement of the Station preventive maintenance strategy includes evaluation of statistical optimization techniques. A review of successful pilot efforts in this direction is provided as well as initial work with graphical analysis. The present situation reguarding data sourcing, the principle impediment to use of stochastic methods in previous years, is discussed. The use of Crowe/AMSAA (Army Materials Systems Analysis Activity) plots is demonstrated from the point of view of justifying expenditures in optimization efforts. (author)

  18. Centralised gaming models: providing optimal gambling behaviour controls

    OpenAIRE

    Griffiths, MD; Wood, RTA

    2009-01-01

    The expansion in the gaming industry and its widening attraction points to the need for ever more verifiable means of controlling problem gambling. Various strategies have been built into casino venue operations to address this, but recently, following a new focus on social responsibility, a group of experts considered the possibilities of a centralised gaming model as a more effective control mechanism for dealing with gambling behaviours.

  19. 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...

  20. Bayesian optimization for materials science

    CERN Document Server

    Packwood, Daniel

    2017-01-01

    This book provides a short and concise introduction to Bayesian optimization specifically for experimental and computational materials scientists. After explaining the basic idea behind Bayesian optimization and some applications to materials science in Chapter 1, the mathematical theory of Bayesian optimization is outlined in Chapter 2. Finally, Chapter 3 discusses an application of Bayesian optimization to a complicated structure optimization problem in computational surface science. Bayesian optimization is a promising global optimization technique that originates in the field of machine learning and is starting to gain attention in materials science. For the purpose of materials design, Bayesian optimization can be used to predict new materials with novel properties without extensive screening of candidate materials. For the purpose of computational materials science, Bayesian optimization can be incorporated into first-principles calculations to perform efficient, global structure optimizations. While re...

  1. 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 the theory and the methods of nonlinear optimization in a unified, clear, and mathematically rigorous fashion, with detailed and easy-to-follow proofs illustrated by numerous examples and figures. The book covers convex analysis, the theory of optimality conditions, duality theory, and numerical methods for solving unconstrained and constrained optimization problems. It addresses not only classical material but also modern top...

  2. 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

  3. Optimality Conditions in Vector Optimization

    CERN Document Server

    Jiménez, Manuel Arana; Lizana, Antonio Rufián

    2011-01-01

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

  4. 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...

  5. Structural optimization

    CERN Document Server

    MacBain, Keith M

    2009-01-01

    Intends to supplement the engineer's box of analysis and design tools making optimization as commonplace as the finite element method in the engineering workplace. This title introduces structural optimization and the methods of nonlinear programming such as Lagrange multipliers, Kuhn-Tucker conditions, and calculus of variations.

  6. 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

  7. 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...

  8. Dispositional Optimism

    Science.gov (United States)

    Carver, Charles S.; Scheier, Michael F.

    2014-01-01

    Optimism is a cognitive construct (expectancies regarding future outcomes) that also relates to motivation: optimistic people exert effort, whereas pessimistic people disengage from effort. Study of optimism began largely in health contexts, finding positive associations between optimism and markers of better psychological and physical health. Physical health effects likely occur through differences in both health-promoting behaviors and physiological concomitants of coping. Recently, the scientific study of optimism has extended to the realm of social relations: new evidence indicates that optimists have better social connections, partly because they work harder at them. In this review, we examine the myriad ways this trait can benefit an individual, and our current understanding of the biological basis of optimism. PMID:24630971

  9. 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. 

  10. Medical service provider networks.

    Science.gov (United States)

    Mougeot, Michel; Naegelen, Florence

    2018-05-17

    In many countries, health insurers or health plans choose to contract either with any willing providers or with preferred providers. We compare these mechanisms when two medical services are imperfect substitutes in demand and are supplied by two different firms. In both cases, the reimbursement is higher when patients select the in-network provider(s). We show that these mechanisms yield lower prices, lower providers' and insurer's profits, and lower expense than in the uniform-reimbursement case. Whatever the degree of product differentiation, a not-for-profit insurer should prefer selective contracting and select a reimbursement such that the out-of-pocket expense is null. Although all providers join the network under any-willing-provider contracting in the absence of third-party payment, an asymmetric equilibrium may exist when this billing arrangement is implemented. Copyright © 2018 John Wiley & Sons, Ltd.

  11. Providing free autopoweroff plugs

    DEFF Research Database (Denmark)

    Jensen, Carsten Lynge; Hansen, Lars Gårn; Fjordbak, Troels

    2012-01-01

    Experimental evidence of the effect of providing households with cheap energy saving technology is sparse. We present results from a field experiment in which autopoweroff plugs were provided free of charge to randomly selected households. We use propensity score matching to find treatment effects...

  12. Portfolio Optimization

    OpenAIRE

    Issagali, Aizhan; Alshimbayeva, Damira; Zhalgas, Aidana

    2015-01-01

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

  13. 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...

  14. Credential Service Provider (CSP)

    Data.gov (United States)

    Department of Veterans Affairs — Provides a VA operated Level 1 and Level 2 credential for individuals who require access to VA applications, yet cannot obtain a credential from another VA accepted...

  15. MAX Provider Characteristics

    Data.gov (United States)

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

  16. Provider software buyer's guide.

    Science.gov (United States)

    1994-03-01

    To help long term care providers find new ways to improve quality of care and efficiency, Provider magazine presents the fourth annual listing of software firms marketing computer programs for all areas of nursing facility operations. On the following five pages, more than 80 software firms display their wares, with programs such as minimum data set and care planning, dietary, accounting and financials, case mix, and medication administration records. The guide also charts compatible hardware, integration ability, telephone numbers, company contacts, and easy-to-use reader service numbers.

  17. Stochastic optimization methods

    CERN Document Server

    Marti, Kurt

    2005-01-01

    Optimization problems arising in practice involve random parameters. For the computation of robust optimal solutions, i.e., optimal solutions being insensitive with respect to random parameter variations, deterministic substitute problems are needed. Based on the distribution of the random data, and using decision theoretical concepts, optimization problems under stochastic uncertainty are converted into deterministic substitute problems. Due to the occurring probabilities and expectations, approximative solution techniques must be applied. Deterministic and stochastic approximation methods and their analytical properties are provided: Taylor expansion, regression and response surface methods, probability inequalities, First Order Reliability Methods, convex approximation/deterministic descent directions/efficient points, stochastic approximation methods, differentiation of probability and mean value functions. Convergence results of the resulting iterative solution procedures are given.

  18. Handbook of simulation optimization

    CERN Document Server

    Fu, Michael C

    2014-01-01

    The Handbook of Simulation Optimization presents an overview of the state of the art of simulation optimization, providing a survey of the most well-established approaches for optimizing stochastic simulation models and a sampling of recent research advances in theory and methodology. Leading contributors cover such topics as discrete optimization via simulation, ranking and selection, efficient simulation budget allocation, random search methods, response surface methodology, stochastic gradient estimation, stochastic approximation, sample average approximation, stochastic constraints, variance reduction techniques, model-based stochastic search methods and Markov decision processes. This single volume should serve as a reference for those already in the field and as a means for those new to the field for understanding and applying the main approaches. The intended audience includes researchers, practitioners and graduate students in the business/engineering fields of operations research, management science,...

  19. 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

  20. Giga-Voxel Structural Optimization

    DEFF Research Database (Denmark)

    Aage, Niels; Andreassen, Erik; Lazarov, Boyan Stefanov

    2017-01-01

    The optimal topology of large structural systems has until now been concerned with the design of individual parts and not that of complete assemblies. However, due to recent advances in numerical algorithms tailored for large scale structural optimization this limitation can now be circumvented....... In this work we present several examplesdisplaying how high resolution topology optimization can be used to obtain new, as well as already known, insight within the field of structural optimization. To demonstrate the capabilities of the developed framework we apply it to the design of the supporting structure...... topology optimization provides new insight and possible weight savings forfuture aircraft designs....

  1. Radiological optimization

    International Nuclear Information System (INIS)

    Zeevaert, T.

    1998-01-01

    Radiological optimization is one of the basic principles in each radiation-protection system and it is a basic requirement in the safety standards for radiation protection in the European Communities. The objectives of the research, performed in this field at the Belgian Nuclear Research Centre SCK-CEN, are: (1) to implement the ALARA principles in activities with radiological consequences; (2) to develop methodologies for optimization techniques in decision-aiding; (3) to optimize radiological assessment models by validation and intercomparison; (4) to improve methods to assess in real time the radiological hazards in the environment in case of an accident; (5) to develop methods and programmes to assist decision-makers during a nuclear emergency; (6) to support the policy of radioactive waste management authorities in the field of radiation protection; (7) to investigate existing software programmes in the domain of multi criteria analysis. The main achievements for 1997 are given

  2. 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.)

  3. What HERA may provide?

    International Nuclear Information System (INIS)

    Jung, Hannes; De Roeck, Albert; Bartles, Jochen

    2008-09-01

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

  4. 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...

  5. 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...

  6. Building Service Provider Capabilities

    DEFF Research Database (Denmark)

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

    2015-01-01

    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...... 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....... 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...

  7. Providing x-rays

    International Nuclear Information System (INIS)

    Mallozzi, P.J.; Epstein, H.M.

    1985-01-01

    This invention provides an apparatus for providing x-rays to an object that may be in an ordinary environment such as air at approximately atmospheric pressure. The apparatus comprises: means (typically a laser beam) for directing energy onto a target to produce x-rays of a selected spectrum and intensity at the target; a fluid-tight enclosure around the target; means for maintaining the pressure in the first enclosure substantially below atmospheric pressure; a fluid-tight second enclosure adjoining the first enclosure, the common wall portion having an opening large enough to permit x-rays to pass through but small enough to allow the pressure reducing means to evacuate gas from the first enclosure at least as fast as it enters through the opening; the second enclosure filled with a gas that is highly transparent to x-rays; the wall of the second enclosure to which the x-rays travel having a portion that is highly transparent to x-rays (usually a beryllium or plastic foil), so that the object to which the x-rays are to be provided may be located outside the second enclosure and adjacent thereto and thus receive the x-rays substantially unimpeded by air or other intervening matter. The apparatus is particularly suited to obtaining EXAFS (extended x-ray fine structure spectroscopy) data on a material

  8. Why healthcare providers merge.

    Science.gov (United States)

    Postma, Jeroen; Roos, Anne-Fleur

    2016-04-01

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

  9. PROVIDING WOMEN, KEPT MEN

    Science.gov (United States)

    Mojola, Sanyu A

    2014-01-01

    This paper draws on ethnographic and interview based fieldwork to explore accounts of intimate relationships between widowed women and poor young men that emerged in the wake of economic crisis and a devastating HIV epidemic among the Luo ethnic group in Western Kenya. I show how the cooptation of widow inheritance practices in the wake of an overwhelming number of widows as well as economic crisis resulted in widows becoming providing women and poor young men becoming kept men. I illustrate how widows in this setting, by performing a set of practices central to what it meant to be a man in this society – pursuing and providing for their partners - were effectively doing masculinity. I will also show how young men, rather than being feminized by being kept, deployed other sets of practices to prove their masculinity and live in a manner congruent with cultural ideals. I argue that ultimately, women’s practice of masculinity in large part seemed to serve patriarchal ends. It not only facilitated the fulfillment of patriarchal expectations of femininity – to being inherited – but also served, in the end, to provide a material base for young men’s deployment of legitimizing and culturally valued sets of masculine practice. PMID:25489121

  10. 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.

  11. 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...

  12. 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

  13. Regularizing portfolio optimization

    International Nuclear Information System (INIS)

    Still, Susanne; Kondor, Imre

    2010-01-01

    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.

  14. 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.

  15. Optimizing countershading camouflage.

    Science.gov (United States)

    Cuthill, Innes C; Sanghera, N Simon; Penacchio, Olivier; Lovell, Paul George; Ruxton, Graeme D; Harris, Julie M

    2016-11-15

    Countershading, the widespread tendency of animals to be darker on the side that receives strongest illumination, has classically been explained as an adaptation for camouflage: obliterating cues to 3D shape and enhancing background matching. However, there have only been two quantitative tests of whether the patterns observed in different species match the optimal shading to obliterate 3D cues, and no tests of whether optimal countershading actually improves concealment or survival. We use a mathematical model of the light field to predict the optimal countershading for concealment that is specific to the light environment and then test this prediction with correspondingly patterned model "caterpillars" exposed to avian predation in the field. We show that the optimal countershading is strongly illumination-dependent. A relatively sharp transition in surface patterning from dark to light is only optimal under direct solar illumination; if there is diffuse illumination from cloudy skies or shade, the pattern provides no advantage over homogeneous background-matching coloration. Conversely, a smoother gradation between dark and light is optimal under cloudy skies or shade. The demonstration of these illumination-dependent effects of different countershading patterns on predation risk strongly supports the comparative evidence showing that the type of countershading varies with light environment.

  16. 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...

  17. Optimizing clozapine treatment

    DEFF Research Database (Denmark)

    Nielsen, Jimmi; Damkier, P; Lublin, Henrik

    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....

  18. Energy providers: customer expectations

    International Nuclear Information System (INIS)

    Pridham, N.F.

    1997-01-01

    The deregulation of the gas and electric power industries, and how it will impact on customer service and pricing rates was discussed. This paper described the present situation, reviewed core competencies, and outlined future expectations. The bottom line is that major energy consumers are very conscious of energy costs and go to great lengths to keep them under control. At the same time, solutions proposed to reduce energy costs must benefit all classes of consumers, be they industrial, commercial, institutional or residential. Deregulation and competition at an accelerated pace is the most likely answer. This may be forced by external forces such as foreign energy providers who are eager to enter the Canadian energy market. It is also likely that the competition and convergence between gas and electricity is just the beginning, and may well be overshadowed by other deregulated industries as they determine their core competencies

  19. 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...

  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. 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. Wind farm design optimization

    Energy Technology Data Exchange (ETDEWEB)

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

    2010-09-15

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

  3. An introduction to optimization

    CERN Document Server

    Chong, Edwin K P

    2013-01-01

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

  4. Constrained Optimal Transport

    Science.gov (United States)

    Ekren, Ibrahim; Soner, H. Mete

    2018-03-01

    The classical duality theory of Kantorovich (C R (Doklady) Acad Sci URSS (NS) 37:199-201, 1942) and Kellerer (Z Wahrsch Verw Gebiete 67(4):399-432, 1984) for classical optimal transport is generalized to an abstract framework and a characterization of the dual elements is provided. This abstract generalization is set in a Banach lattice X with an order unit. The problem is given as the supremum over a convex subset of the positive unit sphere of the topological dual of X and the dual problem is defined on the bi-dual of X. These results are then applied to several extensions of the classical optimal transport.

  5. Introduction to Nonlinear and Global Optimization

    NARCIS (Netherlands)

    Hendrix, E.M.T.; Tóth, B.

    2010-01-01

    This self-contained text provides a solid introduction to global and nonlinear optimization, providing students of mathematics and interdisciplinary sciences with a strong foundation in applied optimization techniques. The book offers a unique hands-on and critical approach to applied optimization

  6. 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.¬

  7. 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.

  8. 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

  9. 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.

  10. Framework for sequential approximate optimization

    NARCIS (Netherlands)

    Jacobs, J.H.; Etman, L.F.P.; Keulen, van F.; Rooda, J.E.

    2004-01-01

    An object-oriented framework for Sequential Approximate Optimization (SAO) isproposed. The framework aims to provide an open environment for thespecification and implementation of SAO strategies. The framework is based onthe Python programming language and contains a toolbox of Python

  11. Well-posed optimization problems

    CERN Document Server

    Dontchev, Asen L

    1993-01-01

    This book presents in a unified way the mathematical theory of well-posedness in optimization. The basic concepts of well-posedness and the links among them are studied, in particular Hadamard and Tykhonov well-posedness. Abstract optimization problems as well as applications to optimal control, calculus of variations and mathematical programming are considered. Both the pure and applied side of these topics are presented. The main subject is often introduced by heuristics, particular cases and examples. Complete proofs are provided. The expected knowledge of the reader does not extend beyond textbook (real and functional) analysis, some topology and differential equations and basic optimization. References are provided for more advanced topics. The book is addressed to mathematicians interested in optimization and related topics, and also to engineers, control theorists, economists and applied scientists who can find here a mathematical justification of practical procedures they encounter.

  12. Interactive Nonlinear Multiobjective Optimization Methods

    OpenAIRE

    Miettinen, Kaisa; Hakanen, Jussi; Podkopaev, Dmitry

    2016-01-01

    An overview of interactive methods for solving nonlinear multiobjective optimization problems is given. In interactive methods, the decision maker progressively provides preference information so that the most satisfactory Pareto optimal solution can be found for her or his. The basic features of several methods are introduced and some theoretical results are provided. In addition, references to modifications and applications as well as to other methods are indicated. As the...

  13. [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.

  14. 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

  15. Topology optimization under stochastic stiffness

    Science.gov (United States)

    Asadpoure, Alireza

    Topology optimization is a systematic computational tool for optimizing the layout of materials within a domain for engineering design problems. It allows variation of structural boundaries and connectivities. This freedom in the design space often enables discovery of new, high performance designs. However, solutions obtained by performing the optimization in a deterministic setting may be impractical or suboptimal when considering real-world engineering conditions with inherent variabilities including (for example) variabilities in fabrication processes and operating conditions. The aim of this work is to provide a computational methodology for topology optimization in the presence of uncertainties associated with structural stiffness, such as uncertain material properties and/or structural geometry. Existing methods for topology optimization under deterministic conditions are first reviewed. Modifications are then proposed to improve the numerical performance of the so-called Heaviside Projection Method (HPM) in continuum domains. Next, two approaches, perturbation and Polynomial Chaos Expansion (PCE), are proposed to account for uncertainties in the optimization procedure. These approaches are intrusive, allowing tight and efficient coupling of the uncertainty quantification with the optimization sensitivity analysis. The work herein develops a robust topology optimization framework aimed at reducing the sensitivity of optimized solutions to uncertainties. The perturbation-based approach combines deterministic topology optimization with a perturbation method for the quantification of uncertainties. The use of perturbation transforms the problem of topology optimization under uncertainty to an augmented deterministic topology optimization problem. The PCE approach combines the spectral stochastic approach for the representation and propagation of uncertainties with an existing deterministic topology optimization technique. The resulting compact representations

  16. Particle swarm optimization: an alternative in marine propeller optimization?

    Science.gov (United States)

    Vesting, F.; Bensow, R. E.

    2018-01-01

    This article deals with improving and evaluating the performance of two evolutionary algorithm approaches for automated engineering design optimization. Here a marine propeller design with constraints on cavitation nuisance is the intended application. For this purpose, the particle swarm optimization (PSO) algorithm is adapted for multi-objective optimization and constraint handling for use in propeller design. Three PSO algorithms are developed and tested for the optimization of four commercial propeller designs for different ship types. The results are evaluated by interrogating the generation medians and the Pareto front development. The same propellers are also optimized utilizing the well established NSGA-II genetic algorithm to provide benchmark results. The authors' PSO algorithms deliver comparable results to NSGA-II, but converge earlier and enhance the solution in terms of constraints violation.

  17. Optimization of well field management

    DEFF Research Database (Denmark)

    Hansen, Annette Kirstine

    Groundwater is a limited but important resource for fresh water supply. Differ- ent conflicting objectives are important when operating a well field. This study investigates how the management of a well field can be improved with respect to different objectives simultaneously. A framework...... for optimizing well field man- agement using multi-objective optimization is developed. The optimization uses the Strength Pareto Evolutionary Algorithm 2 (SPEA2) to find the Pareto front be- tween the conflicting objectives. The Pareto front is a set of non-inferior optimal points and provides an important tool...... for the decision-makers. The optimization framework is tested on two case studies. Both abstract around 20,000 cubic meter of water per day, but are otherwise rather different. The first case study concerns the management of Hardhof waterworks, Switzer- land, where artificial infiltration of river water...

  18. 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.

  19. 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...

  20. Generalized massive optimal data compression

    Science.gov (United States)

    Alsing, Justin; Wandelt, Benjamin

    2018-05-01

    In this paper, we provide a general procedure for optimally compressing N data down to n summary statistics, where n is equal to the number of parameters of interest. We show that compression to the score function - the gradient of the log-likelihood with respect to the parameters - yields n compressed statistics that are optimal in the sense that they preserve the Fisher information content of the data. Our method generalizes earlier work on linear Karhunen-Loéve compression for Gaussian data whilst recovering both lossless linear compression and quadratic estimation as special cases when they are optimal. We give a unified treatment that also includes the general non-Gaussian case as long as mild regularity conditions are satisfied, producing optimal non-linear summary statistics when appropriate. As a worked example, we derive explicitly the n optimal compressed statistics for Gaussian data in the general case where both the mean and covariance depend on the parameters.

  1. PWR fuel management optimization

    International Nuclear Information System (INIS)

    Dumas, Michel.

    1981-10-01

    This report is aimed to the optimization of the refueling pattern of a nuclear reactor. At the beginning of a reactor cycle a batch of fuel assemblies is available: the physical properties of the assemblies are known: the mathematical problem is to determine the refueling pattern which maximizes the reactivity or which provides the flattest possible power distribution. The state of the core is mathematically characterized by a system of partial derivative equations, its smallest eigenvalue and the associated eigenvector. After a study of the convexity properties of the problem, two algorithms are proposed. The first one exhanges assemblies to improve the starting configurations. The enumeration of the exchanges is limited to the 2 by 2, 3 by 3, 4 by 4 permutations. The second one builds a solution in two steps: in the first step the discrete variables are replaced by continuous variables. The non linear optimization problem obtained is solved by ''the Method of Approximation Programming'' and in the second step, the refuelling pattern which provides the best approximation of the optimal power distribution is searched by a Branch an d Bound Method [fr

  2. 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.

  3. Optimal Discount Rates for Government Projects

    OpenAIRE

    Park, Sangkyun

    2012-01-01

    Project selection based on the net present value can be optimal only if the discount rate is optimal. The optimal discount rate for a government project can be a risk-free rate, a comparable market rate (market interest rate corresponding to the risk of cash flows to the government), or an adjusted market rate, depending on circumstances. This paper clarifies the conditions for each case. Provided that the optimal discount rate is the comparable market rate, it varies across intervention meth...

  4. A Novel Health Information Technology Communication System to Increase Caregiver Activation in the Context of Hospital-Based Pediatric Hematopoietic Cell Transplantation: A Pilot Study.

    Science.gov (United States)

    Maher, Molly; Hanauer, David A; Kaziunas, Elizabeth; Ackerman, Mark S; Derry, Holly; Forringer, Rachel; Miller, Kristen; O'Reilly, Dennis; An, Lawrence; Tewari, Muneesh; Choi, Sung Won

    2015-10-27

    Pediatric hematopoietic cell transplantation (HCT), commonly referred to as blood and marrow transplantation (BMT), is an intense treatment modality that requires the involvement of engaged caregivers during the patient's (child's) prolonged hospitalization. The ubiquity of electronic health records (EHRs) and a trend toward patient-centered care could allow a novel health information technology (IT) system to increase parental engagement. The paucity of research on acute care, hospital-based (inpatient) health IT applications for patients or caregivers provides an opportunity for testing the feasibility of such applications. The pediatric BMT population represents an ideal patient group to conduct an evaluation due to the lengthy inpatient stays and a heightened need for patient activation. The primary objective of this study is to assess the feasibility of implementing the BMT Roadmap in caregivers as an intervention during their child's inpatient hospitalization. The BMT Roadmap is an inpatient portal prototype optimized for tablet with a user-centered design. It integrates patient-specific laboratory and medication data from the EHR in real-time and provides support in terms of discharge goals, home care education, and other components. Feasibility will be proven if (1) the BMT Roadmap functions and can be managed by the study team without unexpected effort, (2) the system is accessed by users at a defined minimum threshold, and (3) the qualitative and quantitative research conducted provides quality data that address the perceived usefulness of the BMT Roadmap and could inform a study in a larger sample size. This will be a single-arm, nonrandomized feasibility study. We aim to enroll 10 adult caregivers (age ≥ 18 years) of pediatric patients (aged 0-25 years) undergoing autologous (self-donor) or allogeneic (alternative donor) BMT. Assenting minors (aged 10-18) will also be invited to participate. Recruitment of study participants will take place in the

  5. Group leaders optimization algorithm

    Science.gov (United States)

    Daskin, Anmer; Kais, Sabre

    2011-03-01

    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 which is designed into a group architecture. To demonstrate the efficiency of the method, a standard suite of single and multi-dimensional optimization functions along with the energies and the geometric structures of Lennard-Jones clusters are given as well as the application of the algorithm on quantum circuit design problems. We show that as an improvement over previous methods, the algorithm scales as N 2.5 for the Lennard-Jones clusters of N-particles. In addition, an efficient circuit design is shown for a two-qubit Grover search algorithm which is a quantum algorithm providing quadratic speedup over the classical counterpart.

  6. 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.

  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. 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

  9. OPTIMIZATION METHODS AND SEO TOOLS

    Directory of Open Access Journals (Sweden)

    Maria Cristina ENACHE

    2014-06-01

    Full Text Available SEO is the activity of optimizing Web pages or whole sites in order to make them more search engine friendly, thus getting higher positions in search results. Search engine optimization (SEO involves designing, writing, and coding a website in a way that helps to improve the volume and quality of traffic to your website from people using search engines. While Search Engine Optimization is the focus of this booklet, keep in mind that it is one of many marketing techniques. A brief overview of other marketing techniques is provided at the end of this booklet.

  10. 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

  11. Subthreshold SPICE Model Optimization

    Science.gov (United States)

    Lum, Gregory; Au, Henry; Neff, Joseph; Bozeman, Eric; Kamin, Nick; Shimabukuro, Randy

    2011-04-01

    The first step in integrated circuit design is the simulation of said design in software to verify proper functionally and design requirements. Properties of the process are provided by fabrication foundries in the form of SPICE models. These SPICE models contain the electrical data and physical properties of the basic circuit elements. A limitation of these models is that the data collected by the foundry only accurately model the saturation region. This is fine for most users, but when operating devices in the subthreshold region they are inadequate for accurate simulation results. This is why optimizing the current SPICE models to characterize the subthreshold region is so important. In order to accurately simulate this region of operation, MOSFETs of varying widths and lengths are fabricated and the electrical test data is collected. From the data collected the parameters of the model files are optimized through parameter extraction rather than curve fitting. With the completed optimized models the circuit designer is able to simulate circuit designs for the sub threshold region accurately.

  12. Optimization in radiological protection

    International Nuclear Information System (INIS)

    Acosta Perez, Clarice de Freitas

    1996-01-01

    The optimization concept in radiation protection is, in its essence, practical. In each aspect that we deal with the man, it is necessary to take frequent decisions such as: what is the protection level to be pursued, since the protection levels under consideration provide doses lower than the appropriate annual limits. The optimization gives a basic framework of the minding that is appropriate to conduct to a balance kind of the resources available for the protection and protection level obtained against a multitude of factors and constrains in a manner to obtain the best result. In this work, was performed the optimization, from the radiation protection point of view, of a facility project who enclose two shielded hot cells where will be handled UO 2 small plate with 50% of U-235 burn-up, irradiated in the research swimming pool reactor, IEA-R1. To obtain this goal were specified the relevant factors and criteria, were applied the main techniques used in a decision-making in radiological protection, presently adopted and was performed a sensibility study of the factors and criteria used in this work. In order to obtain a greater agility in applying the techniques for decision-making was developed a micro computer program. (author)

  13. Mitigating Provider Uncertainty in Service Provision Contracts

    Science.gov (United States)

    Smith, Chris; van Moorsel, Aad

    Uncertainty is an inherent property of open, distributed and multiparty systems. The viability of the mutually beneficial relationships which motivate these systems relies on rational decision-making by each constituent party under uncertainty. Service provision in distributed systems is one such relationship. Uncertainty is experienced by the service provider in his ability to deliver a service with selected quality level guarantees due to inherent non-determinism, such as load fluctuations and hardware failures. Statistical estimators utilized to model this non-determinism introduce additional uncertainty through sampling error. Inability of the provider to accurately model and analyze uncertainty in the quality level guarantees can result in the formation of sub-optimal service provision contracts. Emblematic consequences include loss of revenue, inefficient resource utilization and erosion of reputation and consumer trust. We propose a utility model for contract-based service provision to provide a systematic approach to optimal service provision contract formation under uncertainty. Performance prediction methods to enable the derivation of statistical estimators for quality level are introduced, with analysis of their resultant accuracy and cost.

  14. 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 ...

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

    International Nuclear Information System (INIS)

    Deufel, Christopher L; Furutani, Keith M

    2014-01-01

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

  16. Optimization Foundations and Applications

    CERN Document Server

    Miller, H Ronald

    2011-01-01

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

  17. 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

  18. Portfolio Optimization and Mortgage Choice

    Directory of Open Access Journals (Sweden)

    Maj-Britt Nordfang

    2017-01-01

    Full Text Available This paper studies the optimal mortgage choice of an investor in a simple bond market with a stochastic interest rate and access to term life insurance. The study is based on advances in stochastic control theory, which provides analytical solutions to portfolio problems with a stochastic interest rate. We derive the optimal portfolio of a mortgagor in a simple framework and formulate stylized versions of mortgage products offered in the market today. This allows us to analyze the optimal investment strategy in terms of optimal mortgage choice. We conclude that certain extreme investors optimally choose either a traditional fixed rate mortgage or an adjustable rate mortgage, while investors with moderate risk aversion and income prefer a mix of the two. By matching specific investor characteristics to existing mortgage products, our study provides a better understanding of the complex and yet restricted mortgage choice faced by many household investors. In addition, the simple analytical framework enables a detailed analysis of how changes to market, income and preference parameters affect the optimal mortgage choice.

  19. 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

  20. Optimally stopped variational quantum algorithms

    Science.gov (United States)

    Vinci, Walter; Shabani, Alireza

    2018-04-01

    Quantum processors promise a paradigm shift in high-performance computing which needs to be assessed by accurate benchmarking measures. In this article, we introduce a benchmark for the variational quantum algorithm (VQA), recently proposed as a heuristic algorithm for small-scale quantum processors. In VQA, a classical optimization algorithm guides the processor's quantum dynamics to yield the best solution for a given problem. A complete assessment of the scalability and competitiveness of VQA should take into account both the quality and the time of dynamics optimization. The method of optimal stopping, employed here, provides such an assessment by explicitly including time as a cost factor. Here, we showcase this measure for benchmarking VQA as a solver for some quadratic unconstrained binary optimization. Moreover, we show that a better choice for the cost function of the classical routine can significantly improve the performance of the VQA algorithm and even improve its scaling properties.

  1. Optimal swimming of a sheet.

    Science.gov (United States)

    Montenegro-Johnson, Thomas D; Lauga, Eric

    2014-06-01

    Propulsion at microscopic scales is often achieved through propagating traveling waves along hairlike organelles called flagella. Taylor's two-dimensional swimming sheet model is frequently used to provide insight into problems of flagellar propulsion. We derive numerically the large-amplitude wave form of the two-dimensional swimming sheet that yields optimum hydrodynamic efficiency: the ratio of the squared swimming speed to the rate-of-working of the sheet against the fluid. Using the boundary element method, we show that the optimal wave form is a front-back symmetric regularized cusp that is 25% more efficient than the optimal sine wave. This optimal two-dimensional shape is smooth, qualitatively different from the kinked form of Lighthill's optimal three-dimensional flagellum, not predicted by small-amplitude theory, and different from the smooth circular-arc-like shape of active elastic filaments.

  2. 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...

  3. Preferred Provider Organization (PPO) Plans

    Science.gov (United States)

    ... Find & compare doctors, hospitals, & other providers Preferred Provider Organization (PPO) Plans How PPO Plans Work A Medicare ... extra for these benefits. Related Resources Health Maintenance Organization (HMO) Private Fee-for-Service (PFFS) Special Needs ...

  4. 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...

  5. Would it provide Free Education?

    Indian Academy of Sciences (India)

    First page Back Continue Last page Overview Graphics. Would it provide Free Education? Would it provide Free Education? Would it provide Compulsory Education? Would it guarantee education of equitable quality? Would it prevent discrimination? Would it stop schools that promote inequality & discrimination? NO! NO!

  6. Database Optimizing Services

    Directory of Open Access Journals (Sweden)

    Adrian GHENCEA

    2010-12-01

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

  7. Optimization of multi-objective micro-grid based on improved particle swarm optimization algorithm

    Science.gov (United States)

    Zhang, Jian; Gan, Yang

    2018-04-01

    The paper presents a multi-objective optimal configuration model for independent micro-grid with the aim of economy and environmental protection. The Pareto solution set can be obtained by solving the multi-objective optimization configuration model of micro-grid with the improved particle swarm algorithm. The feasibility of the improved particle swarm optimization algorithm for multi-objective model is verified, which provides an important reference for multi-objective optimization of independent micro-grid.

  8. 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.

  9. 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,

  10. Prehospital Providers' Perceptions on Providing Patient and Family Centered Care.

    Science.gov (United States)

    Ayub, Emily M; Sampayo, Esther M; Shah, Manish I; Doughty, Cara B

    2017-01-01

    A gap exists in understanding a provider's approach to delivering care that is mutually beneficial to patients, families, and other providers in the prehospital setting. The purpose of this study was to identify attitudes, beliefs, and perceived barriers to providing patient and family centered care (PFCC) in the prehospital setting and to describe potential solutions for improving PFCC during critical pediatric events. We conducted a qualitative, cross-sectional study of a purposive sample of Emergency Medical Technicians (EMTs) and paramedics from an urban, municipal, fire-based EMS system, who participated in the Pediatric Simulation Training for Emergency Prehospital Providers (PediSTEPPS) course. Two coders reviewed transcriptions of audio recordings from participants' first simulation scenario debriefings and performed constant comparison analysis to identify unifying themes. Themes were verified through member checking with two focus groups of prehospital providers. A total of 122 EMTs and paramedics participated in 16 audiotaped debriefing sessions and two focus groups. Four overarching themes emerged regarding the experience of PFCC by prehospital providers: (1) Perceived barriers included the prehospital environment, limited manpower, multi-tasking medical care, and concern for interference with patient care; (2) Providing emotional support comprised of empathetically comforting caregivers, maintaining a calm demeanor, and empowering families to feel involved; (3) Effective communication strategies consisted of designating a family point person, narration of actions, preempting the next steps, speaking in lay terms, summarizing during downtime, and conveying a positive first impression; (4) Tactics to overcome PFCC barriers were maintaining a line of sight, removing and returning a caregiver to and from the scene, and providing situational awareness. Based on debriefings from simulated scenarios, some prehospital providers identified the provision of

  11. Patient choice of providers in a preferred provider organization.

    Science.gov (United States)

    Wouters, A V; Hester, J

    1988-03-01

    This article is an analysis of patient choice of providers by the employees of the Security Pacific Bank of California and their dependents who have access to the Med Network Preferred Provider Organization (PPO). The empirical results show that not only is the PPO used by individuals who require relatively little medical care (as measured by predicted office visit charges) but that the PPO is most intensively used for low-risk services such as treatment for minor illness and preventive care. Also, the most likely Security Pacific Health Care beneficiary to use a PPO provider is a recently hired employee who lives in the south urban region, has a relatively low income, does not have supplemental insurance coverage, and is without previous attachments to non-PPO primary care providers. In order to maximize their ability to reduce plan paid benefits, insurers who contract with PPOs should focus on increasing PPO utilization among poorer health risks.

  12. 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.

  13. Perspectives of addiction treatment providers

    African Journals Online (AJOL)

    Background. General practitioners are referring patients with codeine-related problems to specialist treatment facilities, but little is known about the addiction treatment providers, the kinds of treatment they provide, and whether training or other interventions are needed to strengthen this sector. Objectives. To investigate the ...

  14. 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.

  15. Incentives and provider payment methods.

    Science.gov (United States)

    Barnum, H; Kutzin, J; Saxenian, H

    1995-01-01

    The mode of payment creates powerful incentives affecting provider behavior and the efficiency, equity and quality outcomes of health finance reforms. This article examines provider incentives as well as administrative costs, and institutional conditions for successful implementation associated with provider payment alternatives. The alternatives considered are budget reforms, capitation, fee-for-service, and case-based reimbursement. We conclude that competition, whether through a regulated private sector or within a public system, has the potential to improve the performance of any payment method. All methods generate both adverse and beneficial incentives. Systems with mixed forms of provider payment can provide tradeoffs to offset the disadvantages of individual modes. Low-income countries should avoid complex payment systems requiring higher levels of institutional development.

  16. Optimizing decommissioning and waste management

    International Nuclear Information System (INIS)

    McKeown, J.

    2000-01-01

    UKAEA has clarified its future purpose. It is a nuclear environmental restoration business. Its proud history of being at the forefront of nuclear research now provides decommissioning challenges of unique breadth. The methods employed, and in some cases developed, by UKAEA to assist in the optimization of its overall work programme are identified. (author)

  17. 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

  18. 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 ...

  19. 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...... 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%.......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...

  20. SYSTEM ORGANIZATION OF MATERIAL PROVIDING OF BUILDING

    Directory of Open Access Journals (Sweden)

    A. V. Rаdkеvich

    2014-04-01

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

  1. 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

  2. Medicare Referring Provider DMEPOS PUF

    Data.gov (United States)

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

  3. Stochastic global optimization as a filtering problem

    International Nuclear Information System (INIS)

    Stinis, Panos

    2012-01-01

    We present a reformulation of stochastic global optimization as a filtering problem. The motivation behind this reformulation comes from the fact that for many optimization problems we cannot evaluate exactly the objective function to be optimized. Similarly, we may not be able to evaluate exactly the functions involved in iterative optimization algorithms. For example, we may only have access to noisy measurements of the functions or statistical estimates provided through Monte Carlo sampling. This makes iterative optimization algorithms behave like stochastic maps. Naive global optimization amounts to evolving a collection of realizations of this stochastic map and picking the realization with the best properties. This motivates the use of filtering techniques to allow focusing on realizations that are more promising than others. In particular, we present a filtering reformulation of global optimization in terms of a special case of sequential importance sampling methods called particle filters. The increasing popularity of particle filters is based on the simplicity of their implementation and their flexibility. We utilize the flexibility of particle filters to construct a stochastic global optimization algorithm which can converge to the optimal solution appreciably faster than naive global optimization. Several examples of parametric exponential density estimation are provided to demonstrate the efficiency of the approach.

  4. 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.

  5. Optimal configuration of microstructure in ferroelectric materials by stochastic optimization

    Science.gov (United States)

    Jayachandran, K. P.; Guedes, J. M.; Rodrigues, H. C.

    2010-07-01

    be nearly three times as that of the single crystal. Our optimization model provide designs for materials with enhanced piezoelectric performance, which would stimulate further studies involving materials possessing higher spontaneous polarization.

  6. Convex Optimization in R

    Directory of Open Access Journals (Sweden)

    Roger Koenker

    2014-09-01

    Full Text Available Convex optimization now plays an essential role in many facets of statistics. We briefly survey some recent developments and describe some implementations of these methods in R . Applications of linear and quadratic programming are introduced including quantile regression, the Huber M-estimator and various penalized regression methods. Applications to additively separable convex problems subject to linear equality and inequality constraints such as nonparametric density estimation and maximum likelihood estimation of general nonparametric mixture models are described, as are several cone programming problems. We focus throughout primarily on implementations in the R environment that rely on solution methods linked to R, like MOSEK by the package Rmosek. Code is provided in R to illustrate several of these problems. Other applications are available in the R package REBayes, dealing with empirical Bayes estimation of nonparametric mixture models.

  7. Puncture panel optimization

    International Nuclear Information System (INIS)

    Glass, R.E.; Longenbaugh, R.S.

    1986-01-01

    Sandia National Laboratories developed the TRansUranic PACkage Transporter (TRUPACT) to transport defense contact-handled transuranic wastes. The package has been designed to meet the normal and hypothetical accident conditions in 10CFR71 which includes the demonstrated ability to survive a 1-meter drop onto a mild steel pin. The puncture protection is provided by puncture resistant panels. In conjunction with the development of TRUPACT, a series of experiments has been conducted to reduce the weight of the puncture resistant panels. The initial scoping tests resulted in a preliminary design incorporating 30 layers of Kevlar. This design has been shown to meet the regulatory puncture test. To reduce the weight of this panel, subscale tests were conducted on panels utilizing Kevlar yarns with varying mass per unit length (denier) as well as different resins. This paper reviews the testing undertaken in the original panel development and discusses the results obtained from the recent subscale and full-scale optimization tests

  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. 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.

  10. 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. © 2013 The Authors. Biological Reviews © 2013 Cambridge Philosophical Society.

  11. Euler's fluid equations: Optimal control vs optimization

    International Nuclear Information System (INIS)

    Holm, Darryl D.

    2009-01-01

    An optimization method used in image-processing (metamorphosis) is found to imply Euler's equations for incompressible flow of an inviscid fluid, without requiring that the Lagrangian particle labels exactly follow the flow lines of the Eulerian velocity vector field. Thus, an optimal control problem and an optimization problem for incompressible ideal fluid flow both yield the same Euler fluid equations, although their Lagrangian parcel dynamics are different. This is a result of the gauge freedom in the definition of the fluid pressure for an incompressible flow, in combination with the symmetry of fluid dynamics under relabeling of their Lagrangian coordinates. Similar ideas are also illustrated for SO(N) rigid body motion.

  12. Load flow optimization and optimal power flow

    CERN Document Server

    Das, J C

    2017-01-01

    This book discusses the major aspects of load flow, optimization, optimal load flow, and culminates in modern heuristic optimization techniques and evolutionary programming. In the deregulated environment, the economic provision of electrical power to consumers requires knowledge of maintaining a certain power quality and load flow. Many case studies and practical examples are included to emphasize real-world applications. The problems at the end of each chapter can be solved by hand calculations without having to use computer software. The appendices are devoted to calculations of line and cable constants, and solutions to the problems are included throughout the book.

  13. Optimal Training Systems STTR

    National Research Council Canada - National Science Library

    Best, Brad; Lovett, Marsha

    2005-01-01

    .... Using an optimal model of task performance subject to human constraints may be a more efficient way to develop models of skilled human performance for use in training, especially since optimal models...

  14. 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...

  15. Optimization under Uncertainty

    KAUST Repository

    Lopez, Rafael H.

    2016-01-01

    in optimization, the so called the reliability based design. Subsequently, we present the risk optimization approach, which includes the expected costs of failure in the objective function. After that the basic description of each approach is given, the projects

  16. Enstore with Chimera namespace provider

    International Nuclear Information System (INIS)

    Litvintsev, Dmitry; Moibenko, Alexander; Oleynik, Gene; Zalokar, Michael

    2012-01-01

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

  17. Dangertalk: Voices of abortion providers.

    Science.gov (United States)

    Martin, Lisa A; Hassinger, Jane A; Debbink, Michelle; Harris, Lisa H

    2017-07-01

    Researchers have described the difficulties of doing abortion work, including the psychosocial costs to individual providers. Some have discussed the self-censorship in which providers engage in to protect themselves and the pro-choice movement. However, few have examined the costs of this self-censorship to public discourse and social movements in the US. Using qualitative data collected during abortion providers' discussions of their work, we explore the tensions between their narratives and pro-choice discourse, and examine the types of stories that are routinely silenced - narratives we name "dangertalk". Using these data, we theorize about the ways in which giving voice to these tensions might transform current abortion discourse by disrupting false dichotomies and better reflecting the complex realities of abortion. We present a conceptual model for dangertalk in abortion discourse, connecting it to functions of dangertalk in social movements more broadly. Copyright © 2017 Elsevier Ltd. All rights reserved.

  18. Optimal tax depreciation under a progressive tax system

    OpenAIRE

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

    2002-01-01

    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, and after a number of periods the firm enters a steady state where depreciation is constant and equal to replacement investments. This way, the optimal solution trades off the benefits of accelerated...

  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. On optimal development and becoming an optimiser

    NARCIS (Netherlands)

    de Ruyter, D.J.

    2012-01-01

    The article aims to provide a justification for the claim that optimal development and becoming an optimiser are educational ideals that parents should pursue in raising their children. Optimal development is conceptualised as enabling children to grow into flourishing persons, that is persons who

  1. A New Version of Optimism for Education

    Science.gov (United States)

    Bojesen, Emile

    2018-01-01

    The primary purpose of this paper is to outline the conceptual means by which it is possible to be optimistic about education. To provide this outline I turn to Ian Hunter and David Blacker, after a brief introduction to Nietzsche's conceptions of optimism and pessimism, to show why certain forms of optimism in education are either intellectually…

  2. Food processing optimization using evolutionary algorithms | Enitan ...

    African Journals Online (AJOL)

    Evolutionary algorithms are widely used in single and multi-objective optimization. They are easy to use and provide solution(s) in one simulation run. They are used in food processing industries for decision making. Food processing presents constrained and unconstrained optimization problems. This paper reviews the ...

  3. The simplest formal argument for fitness optimization

    Indian Academy of Sciences (India)

    The Formal Darwinism Project aims to provide a formal argument linking population genetics to fitness optimization, which of necessity includes defining fitness. This bridges the gulf between those biologists who assume that natural selection leads to something close to fitness optimization and those biologists who believe ...

  4. 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

  5. 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

  6. 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...

  7. Integrated solar energy system optimization

    Science.gov (United States)

    Young, S. K.

    1982-11-01

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

  8. 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.

  9. Pyomo optimization modeling in Python

    CERN Document Server

    Hart, William E; Watson, Jean-Paul; Woodruff, David L; Hackebeil, Gabriel A; Nicholson, Bethany L; Siirola, John D

    2017-01-01

    This book provides a complete and comprehensive guide to Pyomo (Python Optimization Modeling Objects) for beginning and advanced modelers, including students at the undergraduate and graduate levels, academic researchers, and practitioners. Using many examples to illustrate the different techniques useful for formulating models, this text beautifully elucidates the breadth of modeling capabilities that are supported by Pyomo and its handling of complex real-world applications. This second edition provides an expanded presentation of Pyomo’s modeling capabilities, providing a broader description of the software that will enable the user to develop and optimize models. Introductory chapters have been revised to extend tutorials; chapters that discuss advanced features now include the new functionalities added to Pyomo since the first edition including generalized disjunctive programming, mathematical programming with equilibrium constraints, and bilevel programming. Pyomo is an open source software package fo...

  10. EAMJ Provider April 10.indd

    African Journals Online (AJOL)

    2010-04-04

    Apr 4, 2010 ... from 14 to 30 days in studies done in Europe and. North America ... to confirmatory laboratory diagnostic test was 56.2 days (n=83, range 1 to 985 days, standard .... (9,10). In a population based study in German, Volker ... risk factors for provider delays (9). ... mammographic reliability for cancer diagnosis at.

  11. Device provides controlled gas leaks

    Science.gov (United States)

    Kami, S. K.; King, H. J.

    1968-01-01

    Modified palladium leak device provides a controlled release /leak/ of very small quantities of gas at low or medium pressures. It has no moving parts, requires less than 5 watts to operate, and is capable of releasing the gas either continuously or in pulses at adjustable flow rates.

  12. 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. © International Society of Travel Medicine, 2016. All rights reserved. Published by Oxford University Press. For permissions, please e-mail: journals.permissions@oup.com.

  13. 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...

  14. Ecosystem services provided by bats.

    Science.gov (United States)

    Kunz, Thomas H; Braun de Torrez, Elizabeth; Bauer, Dana; Lobova, Tatyana; Fleming, Theodore H

    2011-03-01

    Ecosystem services are the benefits obtained from the environment that increase human well-being. Economic valuation is conducted by measuring the human welfare gains or losses that result from changes in the provision of ecosystem services. Bats have long been postulated to play important roles in arthropod suppression, seed dispersal, and pollination; however, only recently have these ecosystem services begun to be thoroughly evaluated. Here, we review the available literature on the ecological and economic impact of ecosystem services provided by bats. We describe dietary preferences, foraging behaviors, adaptations, and phylogenetic histories of insectivorous, frugivorous, and nectarivorous bats worldwide in the context of their respective ecosystem services. For each trophic ensemble, we discuss the consequences of these ecological interactions on both natural and agricultural systems. Throughout this review, we highlight the research needed to fully determine the ecosystem services in question. Finally, we provide a comprehensive overview of economic valuation of ecosystem services. Unfortunately, few studies estimating the economic value of ecosystem services provided by bats have been conducted to date; however, we outline a framework that could be used in future studies to more fully address this question. Consumptive goods provided by bats, such as food and guano, are often exchanged in markets where the market price indicates an economic value. Nonmarket valuation methods can be used to estimate the economic value of nonconsumptive services, including inputs to agricultural production and recreational activities. Information on the ecological and economic value of ecosystem services provided by bats can be used to inform decisions regarding where and when to protect or restore bat populations and associated habitats, as well as to improve public perception of bats. © 2011 New York Academy of Sciences.

  15. A risk-based approach to optimize autologous hematopoietic stem cell (HSC) collection with the use of plerixafor.

    Science.gov (United States)

    Abhyankar, S; DeJarnette, S; Aljitawi, O; Ganguly, S; Merkel, D; McGuirk, J

    2012-04-01

    Autologous hematopoietic stem cell (HSC) transplant is an effective treatment for patients with hematological malignancies. Unfortunately, 15-30% of patients fail to mobilize a sufficient number of HSCs for the transplant. Plerixafor is now used as a salvage mobilization regimen, with good success. We describe here a risk-based approach for the use of plerixafor, based on the circulating CD34(+) cell count and the CD34(+) cell dose collected after 4 days of G-CSF, that identifies potential poor HSC mobilizers upfront. A total of 159 patients underwent HSC collections using this approach. Of these, 55 (35%) were identified as high risk owing to low CD34(+) cell number or low yield on day 1 of collection, and received plerixafor on the subsequent days of collection. Of the 159 patients, 151 (95%) were able to provide adequate collections with the first mobilization attempt in a median of 1.7 days using this approach. Of the eight who failed initial mobilization, 5 successfully underwent re-mobilization with plerixafor and G-CSF and 3 (1.9%) were mobilization failures. This approach helped to control the overall cost of HSC collections for our BMT program by decreasing the need for remobilization, reducing the number of collection days and avoiding the use of plerixafor in all patients.

  16. 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...

  17. Venturi scrubber modelling and optimization

    Energy Technology Data Exchange (ETDEWEB)

    Viswanathan, S [National Univ., La Jolla, CA (United States). School of Engineering and Technology; Ananthanarayanan, N.V. [National Univ. of Singapore (Singapore). Dept. of Chemical and Environmental Engineering; Azzopardi, B.J. [Nottingham Univ., Nottingham (United Kingdom). Dept. of Chemical Engineering

    2005-04-01

    This study presented a method to maintain the efficiency of venturi scrubbers in removing fine particulates during gas clean operations while minimizing pressure drop. Venturi scrubbers meet stringent emission standards. In order to choose the optimal method for predicting pressure drop, 4 established models were compared for their accuracy of prediction and simplicity in application. The enhanced algorithm optimizes Pease-Anthony type venturi scrubber performance by predicting the minimum pressure drop required to achieve the desired collection efficiency. This was accomplished by optimizing the key operating and design parameters such as liquid-to-gas ratio, throat gas velocity, number of nozzles, nozzle diameter and throat aspect ratio. Two of the 4 established models were expanded by providing an empirical algorithm to better predict pressure drop in the venturi throat. Model results were validated with experimental data. The optimization algorithm considers the non-uniformity in liquid distribution. It can be applied to cylindrical and rectangular Pease-Anthony type scrubbers. It offers an effective, systematic and accurate method to optimize the performance of new and existing scrubbers. 54 refs., 5 figs.

  18. Management systems for service providers

    International Nuclear Information System (INIS)

    Bolokonya, Herbert Chiwalo

    2015-02-01

    In the field of radiation safety and protection there are a number of institutions that are involved in achieving different goals and strategies. These strategies and objectives are achieved based on a number of tools and systems, one of these tools and systems is the use of a management system. This study aimed at reviewing the management system concept for Technical Service Providers in the field of radiation safety and protection. The main focus was on personal monitoring services provided by personal dosimetry laboratories. A number of key issues were found to be prominent to make the management system efficient. These are laboratory accreditation, approval; having a customer driven operating criteria; and controlling of records and good reporting. (au)

  19. Methods of mathematical optimization

    Science.gov (United States)

    Vanderplaats, G. N.

    The fundamental principles of numerical optimization methods are reviewed, with an emphasis on potential engineering applications. The basic optimization process is described; unconstrained and constrained minimization problems are defined; a general approach to the design of optimization software programs is outlined; and drawings and diagrams are shown for examples involving (1) the conceptual design of an aircraft, (2) the aerodynamic optimization of an airfoil, (3) the design of an automotive-engine connecting rod, and (4) the optimization of a 'ski-jump' to assist aircraft in taking off from a very short ship deck.

  20. 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

  1. 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

  2. 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...

  3. Providing solutions to engineering problems

    International Nuclear Information System (INIS)

    Connop, R.P.P.

    1991-01-01

    BNFL has acquired unique experience over a period of 40 years in specifying, designing and constructing spent fuel reprocessing and associated waste management plant. This experience is currently used to support a pound 5.5 billion capital investment programme. This paper reviews a number of engineering problems and their solutions to highlight BNFL experience in providing comprehensive specification, design and engineering and project management services. (author)

  4. Support Net for Frontline Providers

    Science.gov (United States)

    2016-03-01

    learning style , as well as treatment readiness (Proudfoot et al., 2011). Several channels of delivery include audio, video, email correspondence and...Provided Resources (1) o “Self assessment, resources were good.” Coaching (2) o “During this coaching period, I had a death of a parent , I did find the...Secondary Traumatic Stress Scale. Res Soc Work Pract. 2004; 14(1):27–35. 21. Pyevich CM, Newman E, Daleiden E. The relationship among cognitive

  5. Optimization in engineering models and algorithms

    CERN Document Server

    Sioshansi, Ramteen

    2017-01-01

    This textbook covers the fundamentals of optimization, including linear, mixed-integer linear, nonlinear, and dynamic optimization techniques, with a clear engineering focus. It carefully describes classical optimization models and algorithms using an engineering problem-solving perspective, and emphasizes modeling issues using many real-world examples related to a variety of application areas. Providing an appropriate blend of practical applications and optimization theory makes the text useful to both practitioners and students, and gives the reader a good sense of the power of optimization and the potential difficulties in applying optimization to modeling real-world systems. The book is intended for undergraduate and graduate-level teaching in industrial engineering and other engineering specialties. It is also of use to industry practitioners, due to the inclusion of real-world applications, opening the door to advanced courses on both modeling and algorithm development within the industrial engineering ...

  6. 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.

  7. 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...

  8. 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...

  9. 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...... on theory of from human-computer interaction which is described in Chapter 2. Followed by a description of the foundations of topology optimization in Chapter 3. Our applications for topology optimization in 2D and 3D are described in Chapter 4 and a game which trains the human intuition of topology...... optimization is presented in Chapter 5. Topology optimization can also be used as an interactive modeling tool with local control which is presented in Chapter 6. Finally, Chapter 7 contains a summary of the findings and concludes the dissertation. Most of the presented applications of the thesis are available...

  10. 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.

  11. Optimizing solar-cell grid geometry

    Science.gov (United States)

    Crossley, A. P.

    1969-01-01

    Trade-off analysis and mathematical expressions calculate optimum grid geometry in terms of various cell parameters. Determination of the grid geometry provides proper balance between grid resistance and cell output to optimize the energy conversion process.

  12. Optimization of radiation therapy

    International Nuclear Information System (INIS)

    Ohtsubo, Masaaki

    1990-01-01

    In radiotherapy, dose optimization is to give adequate dose uniformly over target volume and minimize the dose to normal and adjacent critical organs. Therefore, it is necessary to analyze dose distribution in detail. This paper presents a method for quantitatively assessing treatment planning by analysis of dose distribution. For this purpose, several parameters were introduced, such as D T, min (minimum target absorbed dose), NUF (nonuniformity factor), volume rate of damaged lung and spinal cord, R T/T (ratio of target volume to treatment volume), LE (local efficiency), integral dose, etc. And some criteria were made using these parameters, and were applied to evaluate various plans in external beam radiation therapy for lung and esophagus cancer. In these parameters, NUF was especially useful to obtain three-dimensional dose information of target volume, and value of NUF was in agreement with the information provided by dose volume histogram. AP-PA parallel opposed fields technique was inferior in D T,min and NUF. In lung cancer, there was no spinal cord injury in oblique parallel opposed fields technique, and this technique is particularly useful when target volume is in posterior. In these two techniques, R T/T was small and hot spots were frequently observed. R T/T was largest in oblique wedged two-fields technique, but this technique was inferior in D T, min and NUF. About D T, min and NUF, four fields technique was the best, but in this technique spinal cord complication often occurred in case that target volume was in the middle. In moving beam technique (360deg rotation or arc), integral dose is large, and the more target volume is in posterior, the more often spinal cord complication occurs. In esophageal cancer, three fields technique was the best to avoid spinal cord injury. It seems that this method is very useful for optimization in radiation treatment planning. (author)

  13. Providing cleaner air to Canadians

    International Nuclear Information System (INIS)

    2001-02-01

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

  14. 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...

  15. Wind Turbine Providing Grid Support

    DEFF Research Database (Denmark)

    2011-01-01

    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......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...

  16. Optimal experimental design with R

    CERN Document Server

    Rasch, Dieter; Verdooren, L R; Gebhardt, Albrecht

    2011-01-01

    Experimental design is often overlooked in the literature of applied and mathematical statistics: statistics is taught and understood as merely a collection of methods for analyzing data. Consequently, experimenters seldom think about optimal design, including prerequisites such as the necessary sample size needed for a precise answer for an experimental question. Providing a concise introduction to experimental design theory, Optimal Experimental Design with R: Introduces the philosophy of experimental design Provides an easy process for constructing experimental designs and calculating necessary sample size using R programs Teaches by example using a custom made R program package: OPDOE Consisting of detailed, data-rich examples, this book introduces experimenters to the philosophy of experimentation, experimental design, and data collection. It gives researchers and statisticians guidance in the construction of optimum experimental designs using R programs, including sample size calculations, hypothesis te...

  17. Vaccines provided by family physicians.

    Science.gov (United States)

    Campos-Outcalt, Doug; Jeffcott-Pera, Michelle; Carter-Smith, Pamela; Schoof, Bellinda K; Young, Herbert F

    2010-01-01

    This study was conducted to document current immunization practices by family physicians. In 2008 the American Academy of Family Physicians (AAFP) conducted a survey among a random sample of 2,000 of its members who reported spending 80% or more of their time in direct patient care. The survey consisted of questions regarding the demographics of the practice, vaccines that are provided at the physicians' clinical site, whether the practice refers patients elsewhere for vaccines, and participation in the Vaccines for Children (VFC) program. The response rate was 38.5%, 31.8% after non-office-based respondents were deleted. A high proportion of respondents (80% or more) reported providing most routinely recommended child, adolescent, and adult vaccines at their practice sites. The exceptions were rotavirus vaccine for children and herpes zoster vaccine for adults., A significant proportion, however, reported referring elsewhere for some vaccines (44.1% for children and adolescent vaccines and 53.5% for adult vaccines), with the most frequent referral location being a public health department. A higher proportion of solo and 2-physician practices than larger practices reported referring patients. A lack of adequate payment was listed as the reason for referring patients elsewhere for vaccines by one-half of those who refer patients. One-half of responders do not participate in the VFC program. Provision of recommended vaccines by most family physicians remains an important service. Smaller practices have more difficulty offering a full array of vaccine products, and lack of adequate payment contributes to referring patients outside the medical home. The reasons behind the lack of participation in the VFC program deserve further study.

  18. 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.

  19. Optimal Contracting under Adverse Selection

    DEFF Research Database (Denmark)

    Lenells, Jonatan; Stea, Diego; Foss, Nicolai Juul

    2015-01-01

    We study a model of adverse selection, hard and soft information, and mentalizing ability--the human capacity to represent others' intentions, knowledge, and beliefs. By allowing for a continuous range of different information types, as well as for different means of acquiring information, we dev...... of that information. This strategy affects the properties of the optimal contract, which grows closer to the first best. This research provides insights into the implications of mentalizing for agency theory....

  20. Do People Want Optimal Deterrence?

    OpenAIRE

    Sunstein, Cass Robert; Schkade, David; Kahneman, Daniel

    2014-01-01

    Two studies test whether people believe in optimal deterrence. The first provides people with personal injury cases that are identical except for variations in the probability of detection and explores whether lower probability cases produce higher punitive damage awards and whether higher probability cases produce lower awards. No such effect is observed. The second asks people whether they agree or disagree with administrative and judicial policies that increase penalties when the probabili...

  1. Optimal placement of FACTS devices using optimization techniques: A review

    Science.gov (United States)

    Gaur, Dipesh; Mathew, Lini

    2018-03-01

    Modern power system is dealt with overloading problem especially transmission network which works on their maximum limit. Today’s power system network tends to become unstable and prone to collapse due to disturbances. Flexible AC Transmission system (FACTS) provides solution to problems like line overloading, voltage stability, losses, power flow etc. FACTS can play important role in improving static and dynamic performance of power system. FACTS devices need high initial investment. Therefore, FACTS location, type and their rating are vital and should be optimized to place in the network for maximum benefit. In this paper, different optimization methods like Particle Swarm Optimization (PSO), Genetic Algorithm (GA) etc. are discussed and compared for optimal location, type and rating of devices. FACTS devices such as Thyristor Controlled Series Compensator (TCSC), Static Var Compensator (SVC) and Static Synchronous Compensator (STATCOM) are considered here. Mentioned FACTS controllers effects on different IEEE bus network parameters like generation cost, active power loss, voltage stability etc. have been analyzed and compared among the devices.

  2. 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.

  3. Optimal placement of capacito

    Directory of Open Access Journals (Sweden)

    N. Gnanasekaran

    2016-06-01

    Full Text Available Optimal size and location of shunt capacitors in the distribution system plays a significant role in minimizing the energy loss and the cost of reactive power compensation. This paper presents a new efficient technique to find optimal size and location of shunt capacitors with the objective of minimizing cost due to energy loss and reactive power compensation of distribution system. A new Shark Smell Optimization (SSO algorithm is proposed to solve the optimal capacitor placement problem satisfying the operating constraints. The SSO algorithm is a recently developed metaheuristic optimization algorithm conceptualized using the shark’s hunting ability. It uses a momentum incorporated gradient search and a rotational movement based local search for optimization. To demonstrate the applicability of proposed method, it is tested on IEEE 34-bus and 118-bus radial distribution systems. The simulation results obtained are compared with previous methods reported in the literature and found to be encouraging.

  4. Performance-based shape optimization of continuum structures

    International Nuclear Information System (INIS)

    Liang Qingquan

    2010-01-01

    This paper presents a performance-based optimization (PBO) method for optimal shape design of continuum structures with stiffness constraints. Performance-based design concepts are incorporated in the shape optimization theory to achieve optimal designs. In the PBO method, the traditional shape optimization problem of minimizing the weight of a continuum structure with displacement or mean compliance constraints is transformed to the problem of maximizing the performance of the structure. The optimal shape of a continuum structure is obtained by gradually eliminating inefficient finite elements from the structure until its performance is maximized. Performance indices are employed to monitor the performance of optimized shapes in an optimization process. Performance-based optimality criteria are incorporated in the PBO method to identify the optimum from the optimization process. The PBO method is used to produce optimal shapes of plane stress continuum structures and plates in bending. Benchmark numerical results are provided to demonstrate the effectiveness of the PBO method for generating the maximum stiffness shape design of continuum structures. It is shown that the PBO method developed overcomes the limitations of traditional shape optimization methods in optimal design of continuum structures. Performance-based optimality criteria presented can be incorporated in any shape and topology optimization methods to obtain optimal designs of continuum structures.

  5. 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.

  6. Optimization of Inventory

    OpenAIRE

    PROKOPOVÁ, Nikola

    2017-01-01

    The subject of this thesis is optimization of inventory in selected organization. Inventory optimization is a very important topic in each organization because it reduces storage costs. At the beginning the inventory theory is presented. It shows the meaning and types of inventory, inventory control and also different methods and models of inventory control. Inventory optimization in the enterprise can be reached by using models of inventory control. In the second part the company on which is...

  7. Search engine optimization

    OpenAIRE

    Marolt, Klemen

    2013-01-01

    Search engine optimization techniques, often shortened to “SEO,” should lead to first positions in organic search results. Some optimization techniques do not change over time, yet still form the basis for SEO. However, as the Internet and web design evolves dynamically, new optimization techniques flourish and flop. Thus, we looked at the most important factors that can help to improve positioning in search results. It is important to emphasize that none of the techniques can guarantee high ...

  8. LOGISTICS OPTIMIZATION USING ONTOLOGIES

    OpenAIRE

    Hendi , Hayder; Ahmad , Adeel; Bouneffa , Mourad; Fonlupt , Cyril

    2014-01-01

    International audience; Logistics processes involve complex physical flows and integration of different elements. It is widely observed that the uncontrolled processes can decline the state of logistics. The optimization of logistic processes can support the desired growth and consistent continuity of logistics. In this paper, we present a software framework for logistic processes optimization. It primarily defines logistic ontologies and then optimize them. It intends to assist the design of...

  9. Dictionary descent in optimization

    OpenAIRE

    Temlyakov, Vladimir

    2015-01-01

    The problem of convex optimization is studied. Usually in convex optimization the minimization is over a d-dimensional domain. Very often the convergence rate of an optimization algorithm depends on the dimension d. The algorithms studied in this paper utilize dictionaries instead of a canonical basis used in the coordinate descent algorithms. We show how this approach allows us to reduce dimensionality of the problem. Also, we investigate which properties of a dictionary are beneficial for t...

  10. 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....

  11. Environmental standards provide competitive advantage

    International Nuclear Information System (INIS)

    Chynoweth, E.; Kirshner, E.

    1993-01-01

    Quality organizations are breaking new ground with the development of international standards for environmental management. These promise to provide the platform for chemical companies wanting to establish their environmental credibility with a global audience. open-quotes It will be similar to auditing our customers to ISO 9000 close-quote, says the environmental manager for a European chemical firm. open-quote We will only want to deal with people who have got their environmental act together. And we'll be in a better competitive positions close-quote. The International Organization for Standardization (ISO;Geneva) has set up a taskforce to develop an environmental management standard, which is expected to be completed by the mid-1990s. Observers think the ISO standard will draw heavily on the British Standard Institute's (BSI;London) environmental management standard, BS7750, which will likely be the first system adopted in the world. Published last year, BS7750 has been extensively piloted in the UK (CW, Sept. 30, 1992, p. 62) and is now set to be revised before being offically adopted by BSI. The UK's Chemical Industries Association (CIA;London) is anxious to prevent a proliferation of standards, and its report on BS7750 pilot projects calls for an approach integrating quality, environment, and health and safety. But standard setters, including ISO, appear to be moving in the opposite direction. In the US, the American national Standards Institute (ANSI;Washington) has started work on an environmental management standard

  12. Providing global WLCG transfer monitoring

    International Nuclear Information System (INIS)

    Andreeva, J; Dieguez Arias, D; Campana, S; Keeble, O; Magini, N; Molnar, Z; Ro, G; Saiz, P; Salichos, M; Tuckett, D; Flix, J; Oleynik, D; Petrosyan, A; Uzhinsky, A; Wildish, T

    2012-01-01

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

  13. Computerized provider order entry systems.

    Science.gov (United States)

    2001-01-01

    Computerized provider order entry (CPOE) systems are designed to replace a hospital's paper-based ordering system. They allow users to electronically write the full range of orders, maintain an online medication administration record, and review changes made to an order by successive personnel. They also offer safety alerts that are triggered when an unsafe order (such as for a duplicate drug therapy) is entered, as well as clinical decision support to guide caregivers to less expensive alternatives or to choices that better fit established hospital protocols. CPOE systems can, when correctly configured, markedly increase efficiency and improve patient safety and patient care. However, facilities need to recognize that currently available CPOE systems require a tremendous amount of time and effort to be spent in customization before their safety and clinical support features can be effectively implemented. What's more, even after they've been customized, the systems may still allow certain unsafe orders to be entered. Thus, CPOE systems are not currently a quick or easy remedy for medical errors. ECRI's Evaluation of CPOE systems--conducted in collaboration with the Institute for Safe Medication Practices (ISMP)--discusses these and other related issues. It also examines and compares CPOE systems from three suppliers: Eclipsys Corp., IDX Systems Corp., and Siemens Medical Solutions Health Services Corp. Our testing focuses primarily on the systems' interfacing capabilities, patient safeguards, and ease of use.

  14. Maintenance optimization after RCM

    International Nuclear Information System (INIS)

    Doyle, E.K.; Lee, C.-G.; Cho, D.

    2005-01-01

    Variant forms of RCM (Reliability Centered Maintenance) have been the maintenance optimizing tools of choice in industry for the last 20 years. Several such optimization techniques have been implemented at the Bruce Nuclear Station. Further cost refinement of the Station preventive maintenance strategy whereby decisions are based on statistical analysis of historical failure data are now being evaluated. The evaluation includes a requirement to demonstrate that earlier optimization projects have long term positive impacts. This proved to be a significant challenge. Eventually a methodology was developed using Crowe/AMSAA (Army Materials Systems Analysis Activity) plots to justify expenditures on further optimization efforts. (authors)

  15. Optimization under Uncertainty

    KAUST Repository

    Lopez, Rafael H.

    2016-01-06

    The goal of this poster is to present the main approaches to optimization of engineering systems in the presence of uncertainties. We begin by giving an insight about robust optimization. Next, we detail how to deal with probabilistic constraints in optimization, the so called the reliability based design. Subsequently, we present the risk optimization approach, which includes the expected costs of failure in the objective function. After that the basic description of each approach is given, the projects developed by CORE are presented. Finally, the main current topic of research of CORE is described.

  16. Beam optimization: improving methodology

    International Nuclear Information System (INIS)

    Quinteiro, Guillermo F.

    2004-01-01

    Different optimization techniques commonly used in biology and food technology allow a systematic and complete analysis of response functions. In spite of the great interest in medical and nuclear physics in the problem of optimizing mixed beams, little attention has been given to sophisticate mathematical tools. Indeed, many techniques are perfectly suited to the typical problem of beam optimization. This article is intended as a guide to the use of two methods, namely Response Surface Methodology and Simplex, that are expected to fasten the optimization process and, meanwhile give more insight into the relationships among the dependent variables controlling the response

  17. Stochastic optimization methods

    CERN Document Server

    Marti, Kurt

    2008-01-01

    Optimization problems arising in practice involve random model parameters. This book features many illustrations, several examples, and applications to concrete problems from engineering and operations research.

  18. Optimized ventilation-on-demand (VOD)

    Energy Technology Data Exchange (ETDEWEB)

    Masse, M. [Simsmart Technologies Inc., Brossard, PQ (Canada); Cervinka, A. [Newtrax Technologies Inc., Montreal, PQ (Canada)

    2008-07-01

    This presentation described how the combination of 2 innovative technologies can help optimize mine ventilation. Newtrax Technologies has developed a self-contained battery-powered wireless electronic system designed to operate in harsh industrial environments, including underground mines. Simsmart Technologies has created an advanced process and control simulation based design tool used in industrial applications, including mine ventilation systems. This presentation described the system components and how they work. These included the wireless mesh network designed for dynamic diesel machinery tracking and operating status monitoring; the real-time ventilation model and fan speed optimizer; the OPC server for information interchange; the OPC linkage to existing control infrastructure; a human machine interface that provide data archiving capability; live MS-Excel to interrogate the simulation, controls and optimizer; and, the battery-powered network mesh that provides SCADA functionality to route optimized setpoints. Details of the user interface were also provided. 1 tab., 20 figs.

  19. Providing value in ambulatory anesthesia.

    Science.gov (United States)

    Fosnot, Caroline D; Fleisher, Lee A; Keogh, John

    2015-12-01

    colonoscopies. With this projected increase in the demand for anesthesia services nationwide comes the analysis of its financial feasibility. Some early data looking at endoscopist-administered sedation conclude that it offers higher patient satisfaction, there were less adverse effects than anesthesiologist-administered sedation, and is economically advantageous. This and future retrospective studies will help to guide healthcare policymakers and physicians to come to a conclusion about providing ambulatory services for these millions of patients. Ambulatory anesthesia's popularity continues to rise and anesthetic techniques will continue to morph and adapt to the needs of patients seeking ambulatory surgery. Alterations in already existing medications are promising as these modifications allow for quicker recovery from anesthesia or minimization of the already known undesirable side-effects. PONV, pain, obstructive sleep apnea, and chronic comorbidities (hypertension, cardiac disease, and diabetes mellitus) are perioperative concerns in ambulatory settings as more patients are safely being treated in ambulatory settings. Regional anesthesia stands out as a modality that has multiple advantages to general anesthesia, providing a minimal recovery period and a decrease in postanesthesia care unit stay. The implementation of the Affordable Healthcare Act specifically affects ambulatory settings as the demand and need for patients to have screening procedures with anesthesia. The question remains what the best strategy is to meet the needs of our future patients while preserving economically feasibility within an already strained healthcare system.

  20. Optimization and Optimal Control in Automotive Systems

    NARCIS (Netherlands)

    Waschl, H.; Kolmanovsky, I.V.; Steinbuch, M.; Re, del L.

    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

  1. Topology optimization based on the harmony search method

    International Nuclear Information System (INIS)

    Lee, Seung-Min; Han, Seog-Young

    2017-01-01

    A new topology optimization scheme based on a Harmony search (HS) as a metaheuristic method was proposed and applied to static stiffness topology optimization problems. To apply the HS to topology optimization, the variables in HS were transformed to those in topology optimization. Compliance was used as an objective function, and harmony memory was defined as the set of the optimized topology. Also, a parametric study for Harmony memory considering rate (HMCR), Pitch adjusting rate (PAR), and Bandwidth (BW) was performed to find the appropriate range for topology optimization. Various techniques were employed such as a filtering scheme, simple average scheme and harmony rate. To provide a robust optimized topology, the concept of the harmony rate update rule was also implemented. Numerical examples are provided to verify the effectiveness of the HS by comparing the optimal layouts of the HS with those of Bidirectional evolutionary structural optimization (BESO) and Artificial bee colony algorithm (ABCA). The following conclu- sions could be made: (1) The proposed topology scheme is very effective for static stiffness topology optimization problems in terms of stability, robustness and convergence rate. (2) The suggested method provides a symmetric optimized topology despite the fact that the HS is a stochastic method like the ABCA. (3) The proposed scheme is applicable and practical in manufacturing since it produces a solid-void design of the optimized topology. (4) The suggested method appears to be very effective for large scale problems like topology optimization.

  2. Topology optimization based on the harmony search method

    Energy Technology Data Exchange (ETDEWEB)

    Lee, Seung-Min; Han, Seog-Young [Hanyang University, Seoul (Korea, Republic of)

    2017-06-15

    A new topology optimization scheme based on a Harmony search (HS) as a metaheuristic method was proposed and applied to static stiffness topology optimization problems. To apply the HS to topology optimization, the variables in HS were transformed to those in topology optimization. Compliance was used as an objective function, and harmony memory was defined as the set of the optimized topology. Also, a parametric study for Harmony memory considering rate (HMCR), Pitch adjusting rate (PAR), and Bandwidth (BW) was performed to find the appropriate range for topology optimization. Various techniques were employed such as a filtering scheme, simple average scheme and harmony rate. To provide a robust optimized topology, the concept of the harmony rate update rule was also implemented. Numerical examples are provided to verify the effectiveness of the HS by comparing the optimal layouts of the HS with those of Bidirectional evolutionary structural optimization (BESO) and Artificial bee colony algorithm (ABCA). The following conclu- sions could be made: (1) The proposed topology scheme is very effective for static stiffness topology optimization problems in terms of stability, robustness and convergence rate. (2) The suggested method provides a symmetric optimized topology despite the fact that the HS is a stochastic method like the ABCA. (3) The proposed scheme is applicable and practical in manufacturing since it produces a solid-void design of the optimized topology. (4) The suggested method appears to be very effective for large scale problems like topology optimization.

  3. Optimal investment horizons

    Science.gov (United States)

    Simonsen, I.; Jensen, M. H.; Johansen, A.

    2002-06-01

    In stochastic finance, one traditionally considers the return as a competitive measure of an asset, i.e., the profit generated by that asset after some fixed time span Δt, say one week or one year. This measures how well (or how bad) the asset performs over that given period of time. It has been established that the distribution of returns exhibits ``fat tails'' indicating that large returns occur more frequently than what is expected from standard Gaussian stochastic processes [1-3]. Instead of estimating this ``fat tail'' distribution of returns, we propose here an alternative approach, which is outlined by addressing the following question: What is the smallest time interval needed for an asset to cross a fixed return level of say 10%? For a particular asset, we refer to this time as the investment horizon and the corresponding distribution as the investment horizon distribution. This latter distribution complements that of returns and provides new and possibly crucial information for portfolio design and risk-management, as well as for pricing of more exotic options. By considering historical financial data, exemplified by the Dow Jones Industrial Average, we obtain a novel set of probability distributions for the investment horizons which can be used to estimate the optimal investment horizon for a stock or a future contract.

  4. The ethics of providing hope in psychotherapy.

    Science.gov (United States)

    Dembo, Justine Sarah; Clemens, Norman A

    2013-07-01

    The instillation of hope is a common factor in most psychotherapies. A considerable literature exists on the ethics of providing false or positively biased hope in non-psychiatric medical settings, and ethicists have generally concluded that this practice is unethical. However, the literature on the ethics of encouraging hope in psychotherapy, especially in the case of treatment-resistant mental illness, is sparse. The author explores two clinical cases with the intention of examining the nature of hope, false hope, positive illusions, and denial, as they relate to our definitions of mental health and psychotherapy. The cases highlight the ethics of balancing an acknowledgment of likely treatment futility with a desire to hope. Clinical psychological studies on depressive realism and optimistic bias indicate that some degree of positive bias, referred to by some authors as "the optimal margin of illusion," is in fact necessary to promote what we define as "good mental health;" conversely, stark realism is correlated with mild to moderate depression. An examination of the existential literature, including Ernest Becker's work, The Denial of Death, indicates that without the defense mechanism of denial, human beings tend to experience paralytic despair as a result of being fallible, mortal creatures in a frightening world. The combination of these diverse bodies of literature, along with the surprising outcomes of our case examples, leads to an unexpected conclusion: it may occasionally be ethical to encourage some degree of optimistic bias, and perhaps even positive illusion, when treating patients in psychotherapy.

  5. Can Economics Provide Insights into Trust Infrastructure?

    Science.gov (United States)

    Vishik, Claire

    Many security technologies require infrastructure for authentication, verification, and other processes. In many cases, viable and innovative security technologies are never adopted on a large scale because the necessary infrastructure is slow to emerge. Analyses of such technologies typically focus on their technical flaws, and research emphasizes innovative approaches to stronger implementation of the core features. However, an observation can be made that in many cases the success of adoption pattern depends on non-technical issues rather than technology-lack of economic incentives, difficulties in finding initial investment, inadequate government support. While a growing body of research is dedicated to economics of security and privacy in general, few theoretical studies in this area have been completed, and even fewer that look at the economics of “trust infrastructure” beyond simple “cost of ownership” models. This exploratory paper takes a look at some approaches in theoretical economics to determine if they can provide useful insights into security infrastructure technologies and architectures that have the best chance to be adopted. We attempt to discover if models used in theoretical economics can help inform technology developers of the optimal business models that offer a better chance for quick infrastructure deployment.

  6. The Dual Role of Money and Optimal Financial Taxes

    NARCIS (Netherlands)

    Huizinga, H.P.

    1996-01-01

    This paper reconsiders the optimal taxation of money and other financial assets.The optimal tax formulae reflect that money provides liquidity services and is a saving vehicle.In fact, it is useful to reformulate the optimal tax problem to allow for separate taxes on the liquidity and saving

  7. Optimal relaxed causal sampler using sampled-date system theory

    NARCIS (Netherlands)

    Shekhawat, Hanumant; Meinsma, Gjerrit

    This paper studies the design of an optimal relaxed causal sampler using sampled data system theory. A lifted frequency domain approach is used to obtain the existence conditions and the optimal sampler. A state space formulation of the results is also provided. The resulting optimal relaxed causal

  8. Numerical Optimization in Microfluidics

    DEFF Research Database (Denmark)

    Jensen, Kristian Ejlebjærg

    2017-01-01

    Numerical modelling can illuminate the working mechanism and limitations of microfluidic devices. Such insights are useful in their own right, but one can take advantage of numerical modelling in a systematic way using numerical optimization. In this chapter we will discuss when and how numerical...... optimization is best used....

  9. Optimization of surface maintenance

    International Nuclear Information System (INIS)

    Oeverland, E.

    1990-01-01

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

  10. Implementing optimal thinning strategies

    Science.gov (United States)

    Kurt H. Riitters; J. Douglas Brodie

    1984-01-01

    Optimal thinning regimes for achieving several management objectives were derived from two stand-growth simulators by dynamic programming. Residual mean tree volumes were then plotted against stand density management diagrams. The results supported the use of density management diagrams for comparing, checking, and implementing the results of optimization analyses....

  11. Economically optimal thermal insulation

    Energy Technology Data Exchange (ETDEWEB)

    Berber, J.

    1978-10-01

    Exemplary calculations to show that exact adherence to the demands of the thermal insulation ordinance does not lead to an optimal solution with regard to economics. This is independent of the mode of financing. Optimal thermal insulation exceeds the values given in the thermal insulation ordinance.

  12. 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...

  13. Asymptotically Optimal Agents

    OpenAIRE

    Lattimore, Tor; Hutter, Marcus

    2011-01-01

    Artificial general intelligence aims to create agents capable of learning to solve arbitrary interesting problems. We define two versions of asymptotic optimality and prove that no agent can satisfy the strong version while in some cases, depending on discounting, there does exist a non-computable weak asymptotically optimal agent.

  14. Natural selection and optimality

    International Nuclear Information System (INIS)

    Torres, J.L.

    1989-01-01

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

  15. 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.

  16. Symbiotic Optimization of Behavior

    Science.gov (United States)

    2015-05-01

    SYMBIOTIC OPTIMIZATION OF BEHAVIOR UNIVERSITY OF WASHINGTON MAY 2015 FINAL TECHNICAL REPORT APPROVED FOR PUBLIC RELEASE; DISTRIBUTION UNLIMITED...2014 4. TITLE AND SUBTITLE SYMBIOTIC OPTIMIZATION OF BEHAVIOR 5a. CONTRACT NUMBER FA8750-12-1-0304 5b. GRANT NUMBER N/A 5c. PROGRAM ELEMENT

  17. Perceptually optimal color reproduction

    NARCIS (Netherlands)

    Yendrikhovskij, S.N.; Blommaert, F.J.J.; Ridder, de H.; Rogowitz, B.E.; Pappas, T.N.

    1998-01-01

    What requirements do people place on optimal color reproduction of real-life scenes? We suggest that when people look at images containing familiar categories of objects, two primary factors shape their subjective impression of how optimal colors are reproduced: perceived naturalness and perceived

  18. Bolt Thread Stress Optimization

    DEFF Research Database (Denmark)

    Pedersen, Niels Leergaard

    2012-01-01

    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...... in the optimized designs leading to the proposal of a new standard. The reductions in the stress are achieved by rather simple changes made to the cutting tool....

  19. 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......, which results in a more evenly distribution of load along the engaged thread, has a limited influence on the maximum stress due to the stress concentration at the first thread root. To further reduce the maximum stress, the transition from bolt shank to the thread must be optimized. Stress reduction...

  20. 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.

  1. Flight plan optimization

    Science.gov (United States)

    Dharmaseelan, Anoop; Adistambha, Keyne D.

    2015-05-01

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

  2. System performance optimization

    International Nuclear Information System (INIS)

    Bednarz, R.J.

    1978-01-01

    The System Performance Optimization has become an important and difficult field for large scientific computer centres. Important because the centres must satisfy increasing user demands at the lowest possible cost. Difficult because the System Performance Optimization requires a deep understanding of hardware, software and workload. The optimization is a dynamic process depending on the changes in hardware configuration, current level of the operating system and user generated workload. With the increasing complication of the computer system and software, the field for the optimization manoeuvres broadens. The hardware of two manufacturers IBM and CDC is discussed. Four IBM and two CDC operating systems are described. The description concentrates on the organization of the operating systems, the job scheduling and I/O handling. The performance definitions, workload specification and tools for the system stimulation are given. The measurement tools for the System Performance Optimization are described. The results of the measurement and various methods used for the operating system tuning are discussed. (Auth.)

  3. 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...

  4. Modern optimization with R

    CERN Document Server

    Cortez, Paulo

    2014-01-01

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

  5. Optimal back-to-front airplane boarding

    Science.gov (United States)

    Bachmat, Eitan; Khachaturov, Vassilii; Kuperman, Ran

    2013-06-01

    The problem of finding an optimal back-to-front airplane boarding policy is explored, using a mathematical model that is related to the 1+1 polynuclear growth model with concave boundary conditions and to causal sets in gravity. We study all airplane configurations and boarding group sizes. Optimal boarding policies for various airplane configurations are presented. Detailed calculations are provided along with simulations that support the main conclusions of the theory. We show that the effectiveness of back-to-front policies undergoes a phase transition when passing from lightly congested airplanes to heavily congested airplanes. The phase transition also affects the nature of the optimal or near-optimal policies. Under what we consider to be realistic conditions, optimal back-to-front policies lead to a modest 8-12% improvement in boarding time over random (no policy) boarding, using two boarding groups. Having more than two groups is not effective.

  6. Optimal back-to-front airplane boarding.

    Science.gov (United States)

    Bachmat, Eitan; Khachaturov, Vassilii; Kuperman, Ran

    2013-06-01

    The problem of finding an optimal back-to-front airplane boarding policy is explored, using a mathematical model that is related to the 1+1 polynuclear growth model with concave boundary conditions and to causal sets in gravity. We study all airplane configurations and boarding group sizes. Optimal boarding policies for various airplane configurations are presented. Detailed calculations are provided along with simulations that support the main conclusions of the theory. We show that the effectiveness of back-to-front policies undergoes a phase transition when passing from lightly congested airplanes to heavily congested airplanes. The phase transition also affects the nature of the optimal or near-optimal policies. Under what we consider to be realistic conditions, optimal back-to-front policies lead to a modest 8-12% improvement in boarding time over random (no policy) boarding, using two boarding groups. Having more than two groups is not effective.

  7. Combinatorial optimization theory and algorithms

    CERN Document Server

    Korte, Bernhard

    2018-01-01

    This comprehensive textbook on combinatorial optimization places special emphasis on theoretical results and algorithms with provably good performance, in contrast to heuristics. It is based on numerous courses on combinatorial optimization and specialized topics, mostly at graduate level. This book reviews the fundamentals, covers the classical topics (paths, flows, matching, matroids, NP-completeness, approximation algorithms) in detail, and proceeds to advanced and recent topics, some of which have not appeared in a textbook before. Throughout, it contains complete but concise proofs, and also provides numerous exercises and references. This sixth edition has again been updated, revised, and significantly extended. Among other additions, there are new sections on shallow-light trees, submodular function maximization, smoothed analysis of the knapsack problem, the (ln 4+ɛ)-approximation for Steiner trees, and the VPN theorem. Thus, this book continues to represent the state of the art of combinatorial opti...

  8. 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

    2017-09-01

    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.

  9. 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.

  10. 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 ...

  11. Essentially Optimal Universally Composable Oblivious Transfer

    DEFF Research Database (Denmark)

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

    2009-01-01

    . Communication complexity: it communicates O(1) group elements to transfer one out of two group elements. The Big-O notation hides 32, meaning that the communication is probably not optimal, but is essentially optimal in that the overhead is at least constant. Our construction is based on pairings, and we assume......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...

  12. Big data optimization recent developments and challenges

    CERN Document Server

    2016-01-01

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

  13. 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

  14. 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.

  15. Optimization of Antivirus Software

    Directory of Open Access Journals (Sweden)

    2007-01-01

    Full Text Available The paper describes the main techniques used in development of computer antivirus software applications. For this particular category of software, are identified and defined optimum criteria that helps determine which solution is better and what are the objectives of the optimization process. From the general viewpoint of software optimization are presented methods and techniques that are applied at code development level. Regarding the particularities of antivirus software, the paper analyzes some of the optimization concepts applied to this category of applications

  16. Nonlinear optimal control theory

    CERN Document Server

    Berkovitz, Leonard David

    2012-01-01

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

  17. What is unrealistic optimism?

    Science.gov (United States)

    Jefferson, Anneli; Bortolotti, Lisa; Kuzmanovic, Bojana

    2017-04-01

    Here we consider the nature of unrealistic optimism and other related positive illusions. We are interested in whether cognitive states that are unrealistically optimistic are belief states, whether they are false, and whether they are epistemically irrational. We also ask to what extent unrealistically optimistic cognitive states are fixed. Based on the classic and recent empirical literature on unrealistic optimism, we offer some preliminary answers to these questions, thereby laying the foundations for answering further questions about unrealistic optimism, such as whether it has biological, psychological, or epistemic benefits. Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.

  18. 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.

  19. Optimization of refrigeration machinery

    Energy Technology Data Exchange (ETDEWEB)

    Wall, Goeran [University Coll. of Eskilstuna/Vaesteraas (SE)

    1991-11-01

    This paper reports the application of thermoeconomics to the optimization of a heat pump. The method is suited for application to thermodynamic processes and yields exergy losses. The marginal cost of an arbitary variable can also be calculated. The efficiencies of the compressor, condenser, evaporator and electric motor are chosen as variables to be optimized. Parameters such as the price of electricity and the temperature of the delivered heat may vary between optimizations, and results are presented for different parameter values. The results show that the efficiency of the electric motor is the most important variable. (author).

  20. Location Optimization of Mobile Cold-Formed Steel Systems to Provide Humanitarian Relief After Natural Disasters

    Science.gov (United States)

    2015-12-01

    has its beginnings traced back to the California gold rush when Peter Naylor advertised “portable iron houses for California” (History, n.d...extreme winter conditions (snow pressure, icing, freezing rain , avalanche). Wildfire is forest fires and land fires (grass, scrub, bush, etc

  1. Optimized protocol of chicken antibody (IgY) purification providing electrophoretically homogenous preparations

    Czech Academy of Sciences Publication Activity Database

    Hodek, P.; Trefil, P.; Šimůnek, Jiří; Hudeček, J.; Stiborová, M.

    2013-01-01

    Roč. 8, č. 1 (2013), 113-124 ISSN 1452-3981 Grant - others:GA ČR(CZ) GAP303/12/G163 Program:GA Institutional support: RVO:67985904 Keywords : yolk immunoglobulin * purification protocol * bio-compatible chemicals Subject RIV: CG - Electrochemistry Impact factor: 1.956, year: 2013

  2. Optimizing the analysis of routing oversize/overweight loads to provide efficient freight corridors : technical summary.

    Science.gov (United States)

    2012-07-01

    The subject of this report is limited specifically to Kansas highways. Current features of the State Highway System were looked at to determine corridors that do not limit Oversize/Overweight (OS/OW) vehicles, or that limit loads to varying degree...

  3. Benzodiazepines II: Waking Up on Sedatives: Providing Optimal Care When Inheriting Benzodiazepine Prescriptions in Transfer Patients

    Directory of Open Access Journals (Sweden)

    Jeffrey Guina

    2018-01-01

    Full Text Available This review discusses risks, benefits, and alternatives in patients already taking benzodiazepines when care transfers to a new clinician. Prescribers have the decision—sometimes mutually agreed-upon and sometimes unilateral—to continue, discontinue, or change treatment. This decision should be made based on evidence-based indications (conditions and timeframes, comorbidities, potential drug-drug interactions, and evidence of adverse effects, misuse, abuse, dependence, or diversion. We discuss management tools involved in continuation (e.g., monitoring symptoms, laboratory testing, prescribing contracts, state prescription databases, stages of change and discontinuation (e.g., tapering, psychotherapeutic interventions, education, handouts, reassurance, medications to assist with discontinuation, and alternative treatments.

  4. Optimization of the velocity of air providing dynamic containment at openings

    International Nuclear Information System (INIS)

    Laborde, J.C.; Berne, P.; Dupoux, N.

    1992-01-01

    The handling of toxic, radioactive or dangerous substances in industry of research laboratories necessitates the use of techniques for protecting the workers involved. The risks arise from these substances being airborne particles and from their transfer, essentially through turbulent diffusion. One way of limiting this risk is to employ the principle of dynamic containment, whereby a particular direction of air flow is imposed at inlets and outlets in order to prevent the back flow of the pollutant to areas where it may be breathed by the operators. The air velocity normally used to prevent back flow of pollutant is 0.5 m.s. The 'Service d'Etudes et de Recherches en Aerocontamination et en Confinement' (SERAC) has begun an evaluation of the effect of a reduction in air inlet velocity on the risk of pollutant back diffusion. This should lead to energy savings through the use of a minimum air flow rate concomitant with appropriate protection. The paper gives the results obtained with openings of different geometries and shapes. It is also proposed a simulation of this phenomenon using a calculation code of air flow in a ventilated room (the TRIO code), so that the results may be compared with the experimental data. (author). 5 refs., 10 figs., 1 tab

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

    DEFF Research Database (Denmark)

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

    2011-01-01

    Split sex ratio theory predicts that when kin structure varies among colonies of social insects, in order to maximize the inclusive fitness, colonies with relatively high sister-sister relatedness should specialize in producing reproductive females, whereas in those with relatively low sister......-sister relatedness workers should bias their sex ratio towards males. However, in order to achieve this, workers need to be able to reliably assess the type of colony in which they live. The information on colony kin structure may be encoded in cuticular hydrocarbons (CHCs), assuming that genetic variability....... However, within-colony relatedness remains the key determinant of colony sex ratios. Based on our results, CHC variability cannot serve as accurate information on within-colony relatedness, kin structure, or full-sib affiliation, nor do workers seem to use colony CHC variability as a proxy for sex...

  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. 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.

  9. Evolution strategies for robust optimization

    NARCIS (Netherlands)

    Kruisselbrink, Johannes Willem

    2012-01-01

    Real-world (black-box) optimization problems often involve various types of uncertainties and noise emerging in different parts of the optimization problem. When this is not accounted for, optimization may fail or may yield solutions that are optimal in the classical strict notion of optimality, but

  10. Optimization of photonic crystal cavities

    DEFF Research Database (Denmark)

    Wang, Fengwen; Sigmund, Ole

    2017-01-01

    We present optimization of photonic crystal cavities. The optimization problem is formulated to maximize the Purcell factor of a photonic crystal cavity. Both topology optimization and air-hole-based shape optimization are utilized for the design process. Numerical results demonstrate...... that the Purcell factor of the photonic crystal cavity can be significantly improved through optimization....

  11. Patient Perspectives of Midlevel Providers in Orthopaedic Sports Medicine.

    Science.gov (United States)

    Manning, Blaine T; Bohl, Daniel D; Hannon, Charles P; Redondo, Michael L; Christian, David R; Forsythe, Brian; Nho, Shane J; Bach, Bernard R

    2018-04-01

    Midlevel providers (eg, nurse practitioners and physician assistants) have been integrated into orthopaedic systems of care in response to the increasing demand for musculoskeletal care. Few studies have examined patient perspectives toward midlevel providers in orthopaedic sports medicine. To identify perspectives of orthopaedic sports medicine patients regarding midlevel providers, including optimal scope of practice, reimbursement equity with physicians, and importance of the physician's midlevel provider to patients when initially selecting a physician. Cross-sectional study; Level of evidence, 3. A total of 690 consecutive new patients of 3 orthopaedic sports medicine physicians were prospectively administered an anonymous questionnaire prior to their first visit. Content included patient perspectives regarding midlevel provider importance in physician selection, optimal scope of practice, and reimbursement equity with physicians. Of the 690 consecutive patients who were administered the survey, 605 (87.7%) responded. Of these, 51.9% were men and 48.1% were women, with a mean age of 40.5 ± 15.7 years. More than half (51.2%) perceived no differences in training levels between physician assistants and nurse practitioners. A majority of patients (62.9%) reported that the physician's midlevel provider is an important consideration when choosing a new orthopaedic sports medicine physician. Patients had specific preferences regarding which services should be physician provided. Patients also reported specific preferences regarding those services that could be midlevel provided. There lacked a consensus on reimbursement equity for midlevel practitioners and physicians, despite 71.7% of patients responding that the physician provides a higher-quality consultation. As health care becomes value driven and consumer-centric, understanding patient perspectives on midlevel providers will allow orthopaedic sports medicine physicians to optimize efficiency and patient

  12. A Feedback Optimal Control Algorithm with Optimal Measurement Time Points

    Directory of Open Access Journals (Sweden)

    Felix Jost

    2017-02-01

    Full Text Available Nonlinear model predictive control has been established as a powerful methodology to provide feedback for dynamic processes over the last decades. In practice it is usually combined with parameter and state estimation techniques, which allows to cope with uncertainty on many levels. To reduce the uncertainty it has also been suggested to include optimal experimental design into the sequential process of estimation and control calculation. Most of the focus so far was on dual control approaches, i.e., on using the controls to simultaneously excite the system dynamics (learning as well as minimizing a given objective (performing. We propose a new algorithm, which sequentially solves robust optimal control, optimal experimental design, state and parameter estimation problems. Thus, we decouple the control and the experimental design problems. This has the advantages that we can analyze the impact of measurement timing (sampling independently, and is practically relevant for applications with either an ethical limitation on system excitation (e.g., chemotherapy treatment or the need for fast feedback. The algorithm shows promising results with a 36% reduction of parameter uncertainties for the Lotka-Volterra fishing benchmark example.

  13. Energy Optimal Path Planning: Integrating Coastal Ocean Modelling with Optimal Control

    Science.gov (United States)

    Subramani, D. N.; Haley, P. J., Jr.; Lermusiaux, P. F. J.

    2016-02-01

    A stochastic optimization methodology is formulated for computing energy-optimal paths from among time-optimal paths of autonomous vehicles navigating in a dynamic flow field. To set up the energy optimization, the relative vehicle speed and headings are considered to be stochastic, and new stochastic Dynamically Orthogonal (DO) level-set equations that govern their stochastic time-optimal reachability fronts are derived. Their solution provides the distribution of time-optimal reachability fronts and corresponding distribution of time-optimal paths. An optimization is then performed on the vehicle's energy-time joint distribution to select the energy-optimal paths for each arrival time, among all stochastic time-optimal paths for that arrival time. The accuracy and efficiency of the DO level-set equations for solving the governing stochastic level-set reachability fronts are quantitatively assessed, including comparisons with independent semi-analytical solutions. Energy-optimal missions are studied in wind-driven barotropic quasi-geostrophic double-gyre circulations, and in realistic data-assimilative re-analyses of multiscale coastal ocean flows. The latter re-analyses are obtained from multi-resolution 2-way nested primitive-equation simulations of tidal-to-mesoscale dynamics in the Middle Atlantic Bight and Shelbreak Front region. The effects of tidal currents, strong wind events, coastal jets, and shelfbreak fronts on the energy-optimal paths are illustrated and quantified. Results showcase the opportunities for longer-duration missions that intelligently utilize the ocean environment to save energy, rigorously integrating ocean forecasting with optimal control of autonomous vehicles.

  14. Optimal Aerocapture Guidance

    Data.gov (United States)

    National Aeronautics and Space Administration — The main goal of my research is to develop, implement, verify, and validate an optimal numerical predictor-corrector aerocapture guidance algorithm that is...

  15. Optimal primitive reference frames

    International Nuclear Information System (INIS)

    Jennings, David

    2011-01-01

    We consider the smallest possible directional reference frames allowed and determine the best one can ever do in preserving quantum information in various scenarios. We find that for the preservation of a single spin state, two orthogonal spins are optimal primitive reference frames; and in a product state, they do approximately 22% as well as an infinite-sized classical frame. By adding a small amount of entanglement to the reference frame, this can be raised to 2(2/3) 5 =26%. Under the different criterion of entanglement preservation, a very similar optimal reference frame is found; however, this time it is for spins aligned at an optimal angle of 87 deg. In this case 24% of the negativity is preserved. The classical limit is considered numerically, and indicates under the criterion of entanglement preservation, that 90 deg. is selected out nonmonotonically, with a peak optimal angle of 96.5 deg. for L=3 spins.

  16. 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...

  17. 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...... still more complex decision problems, based on big data sets and going across several organizational entities. Moreover, liner shipping optimization problems are pushing the limits of optimization methods, creating a new breeding ground for advanced modelling and solution methods. Starting from liner...... shipping network design, we consider the problem of container routing and speed optimization. Next, we consider empty container repositioning and stowage planning as well as disruption management. In addition, the problem of bunker purchasing is considered in depth. In each section we give a clear problem...

  18. Stochastic and global optimization

    National Research Council Canada - National Science Library

    Dzemyda, Gintautas; Šaltenis, Vydūnas; Zhilinskas, A; Mockus, Jonas

    2002-01-01

    ... and Effectiveness of Controlled Random Search E. M. T. Hendrix, P. M. Ortigosa and I. García 129 9. Discrete Backtracking Adaptive Search for Global Optimization B. P. Kristinsdottir, Z. B. Zabinsky and...

  19. Topology optimized microbioreactors

    DEFF Research Database (Denmark)

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

    2011-01-01

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

  20. 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...

  1. 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.

  2. 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...

  3. RF Gun Optimization Study

    International Nuclear Information System (INIS)

    Alicia Hofler; Pavel Evtushenko

    2007-01-01

    Injector gun design is an iterative process where the designer optimizes a few nonlinearly interdependent beam parameters to achieve the required beam quality for a particle accelerator. Few tools exist to automate the optimization process and thoroughly explore the parameter space. The challenging beam requirements of new accelerator applications such as light sources and electron cooling devices drive the development of RF and SRF photo injectors. A genetic algorithm (GA) has been successfully used to optimize DC photo injector designs at Cornell University [1] and Jefferson Lab [2]. We propose to apply GA techniques to the design of RF and SRF gun injectors. In this paper, we report on the initial phase of the study where we model and optimize a system that has been benchmarked with beam measurements and simulation

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

    Science.gov (United States)

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

    2013-07-01

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

  5. Rotorcraft Optimization Tools: Incorporating Rotorcraft Design Codes into Multi-Disciplinary Design, Analysis, and Optimization

    Science.gov (United States)

    Meyn, Larry A.

    2018-01-01

    One of the goals of NASA's Revolutionary Vertical Lift Technology Project (RVLT) is to provide validated tools for multidisciplinary design, analysis and optimization (MDAO) of vertical lift vehicles. As part of this effort, the software package, RotorCraft Optimization Tools (RCOTOOLS), is being developed to facilitate incorporating key rotorcraft conceptual design codes into optimizations using the OpenMDAO multi-disciplinary optimization framework written in Python. RCOTOOLS, also written in Python, currently supports the incorporation of the NASA Design and Analysis of RotorCraft (NDARC) vehicle sizing tool and the Comprehensive Analytical Model of Rotorcraft Aerodynamics and Dynamics II (CAMRAD II) analysis tool into OpenMDAO-driven optimizations. Both of these tools use detailed, file-based inputs and outputs, so RCOTOOLS provides software wrappers to update input files with new design variable values, execute these codes and then extract specific response variable values from the file outputs. These wrappers are designed to be flexible and easy to use. RCOTOOLS also provides several utilities to aid in optimization model development, including Graphical User Interface (GUI) tools for browsing input and output files in order to identify text strings that are used to identify specific variables as optimization input and response variables. This paper provides an overview of RCOTOOLS and its use

  6. Optimally Locating MARFORRES Units

    OpenAIRE

    Salmeron, Javier; Dell, Rob

    2015-01-01

    Javier Salmeron and Rob Dell The U.S. Marine Forces Reserve (USMCR, MARFORRES) is conducting realignment studies where discretionary changes may benefit from formal mathematical analysis. This study has developed an optimization tool to guide and/or support Commander, MARFORRES (CMFR) decisions. A prototype of the optimization tool has been tested with data from the units and Reserve Training Centers (RTCs) in the San Francisco, CA and Sacramento, CA areas. Prepared for: MARFORRES, POC:...

  7. 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....

  8. Optimization of Antivirus Software

    OpenAIRE

    Catalin BOJA; Adrian VISOIU

    2007-01-01

    The paper describes the main techniques used in development of computer antivirus software applications. For this particular category of software, are identified and defined optimum criteria that helps determine which solution is better and what are the objectives of the optimization process. From the general viewpoint of software optimization are presented methods and techniques that are applied at code development level. Regarding the particularities of antivirus software, the paper analyze...

  9. Bargaining with Optimism

    OpenAIRE

    Yildiz, Muhamet

    2011-01-01

    Excessive optimism is a prominent explanation for bargaining delays. Recent results demonstrate that optimism plays a subtle role in bargaining, and its careful analysis may shed valuable insights into negotiation behavior. This article reviews some of these results, focusing on the following findings. First, when there is a nearby deadline, optimistic players delay the agreement to the last period before the deadline, replicating a broad empirical regularity known as the deadline effect. Sec...

  10. Tax optimization of companies

    OpenAIRE

    Dědinová, Pavla

    2017-01-01

    This diploma thesis deals with tax optimization of companies. The thesis is divided into two main parts - the theoretical and practical part. The introduction of the theoretical part describes the history of taxes, their basic characteristics and the importance of their collection for today's society. Subsequently, the tax system of the Czech Republic with a focus on value added tax and corporation tax is presented. The practical part deals with specific possibilities of optimization of the a...

  11. 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...

  12. 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.

  13. 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...

  14. Learning optimal embedded cascades.

    Science.gov (United States)

    Saberian, Mohammad Javad; Vasconcelos, Nuno

    2012-10-01

    The problem of automatic and optimal design of embedded object detector cascades is considered. Two main challenges are identified: optimization of the cascade configuration and optimization of individual cascade stages, so as to achieve the best tradeoff between classification accuracy and speed, under a detection rate constraint. Two novel boosting algorithms are proposed to address these problems. The first, RCBoost, formulates boosting as a constrained optimization problem which is solved with a barrier penalty method. The constraint is the target detection rate, which is met at all iterations of the boosting process. This enables the design of embedded cascades of known configuration without extensive cross validation or heuristics. The second, ECBoost, searches over cascade configurations to achieve the optimal tradeoff between classification risk and speed. The two algorithms are combined into an overall boosting procedure, RCECBoost, which optimizes both the cascade configuration and its stages under a detection rate constraint, in a fully automated manner. Extensive experiments in face, car, pedestrian, and panda detection show that the resulting detectors achieve an accuracy versus speed tradeoff superior to those of previous methods.

  15. Totally optimal decision rules

    KAUST Repository

    Amin, Talha

    2017-11-22

    Optimality of decision rules (patterns) can be measured in many ways. One of these is referred to as length. Length signifies the number of terms in a decision rule and is optimally minimized. Another, coverage represents the width of a rule’s applicability and generality. As such, it is desirable to maximize coverage. A totally optimal decision rule is a decision rule that has the minimum possible length and the maximum possible coverage. This paper presents a method for determining the presence of totally optimal decision rules for “complete” decision tables (representations of total functions in which different variables can have domains of differing values). Depending on the cardinalities of the domains, we can either guarantee for each tuple of values of the function that totally optimal rules exist for each row of the table (as in the case of total Boolean functions where the cardinalities are equal to 2) or, for each row, we can find a tuple of values of the function for which totally optimal rules do not exist for this row.

  16. 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.

  17. Totally optimal decision rules

    KAUST Repository

    Amin, Talha M.; Moshkov, Mikhail

    2017-01-01

    Optimality of decision rules (patterns) can be measured in many ways. One of these is referred to as length. Length signifies the number of terms in a decision rule and is optimally minimized. Another, coverage represents the width of a rule’s applicability and generality. As such, it is desirable to maximize coverage. A totally optimal decision rule is a decision rule that has the minimum possible length and the maximum possible coverage. This paper presents a method for determining the presence of totally optimal decision rules for “complete” decision tables (representations of total functions in which different variables can have domains of differing values). Depending on the cardinalities of the domains, we can either guarantee for each tuple of values of the function that totally optimal rules exist for each row of the table (as in the case of total Boolean functions where the cardinalities are equal to 2) or, for each row, we can find a tuple of values of the function for which totally optimal rules do not exist for this row.

  18. Optimization and anti-optimization of structures under uncertainty

    National Research Council Canada - National Science Library

    Elishakoff, Isaac; Ohsaki, Makoto

    2010-01-01

    The volume presents a collaboration between internationally recognized experts on anti-optimization and structural optimization, and summarizes various novel ideas, methodologies and results studied over 20 years...

  19. 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.

  20. Cogeneration system simulation/optimization

    International Nuclear Information System (INIS)

    Puppa, B.A.; Chandrashekar, M.

    1992-01-01

    Companies are increasingly turning to computer software programs to improve and streamline the analysis o cogeneration systems. This paper introduces a computer program which originated with research at the University of Waterloo. The program can simulate and optimize any type of layout of cogeneration plant. An application of the program to a cogeneration feasibility study for a university campus is described. The Steam and Power Plant Optimization System (SAPPOS) is a PC software package which allows users to model any type of steam/power plant on a component-by-component basis. Individual energy/steam balances can be done quickly to model any scenario. A typical days per month cogeneration simulation can also be carried out to provide a detailed monthly cash flow and energy forecast. This paper reports that SAPPOS can be used for scoping, feasibility, and preliminary design work, along with financial studies, gas contract studies, and optimizing the operation of completed plants. In the feasibility study presented, SAPPOS is used to evaluate both diesel engine and gas turbine combined cycle options

  1. Developing optimized prioritizing road maintenance

    Directory of Open Access Journals (Sweden)

    Ewadh Hussein Ali

    2018-01-01

    Full Text Available Increased demand for efficient maintenance of the existing roadway system needs optimal usage of the allocated funds. The paper demonstrates optimized methods for prioritizing maintenance implementation projects. A selected zone of roadway system in Kerbala city represents the study area to demonstrate the application of the developed prioritization process. Paver system PAVER integrated with GIS is used to estimate and display the pavement condition index PCI, thereby to establish a priority of maintenance. In addition to simple ranking method by PCI produced by the output of PAVER, the paper introduces PCI measure for each section of roadway. The paper introduces ranking by multiple measures investigated through expert knowledge about measures that affect prioritization and their irrespective weights due to a predesigned questionnaire. The maintenance priority index (MPI is related to cost of suitable proposed maintenance, easiness of proposed maintenance, average daily traffic and functional classification of the roadway in addition to PCI. Further, incremental benefit-cost analysis ranking provide an optimized process due to benefit and cost of maintenance. The paper introduces efficient display of layout and ranking for the selected zone of roadway system based on MPI index and incremental BCR method. Although the two developed methods introduce different layout display for priority, statistical test shows that no significant difference between ranking of all methods of prioritization.

  2. Robust Portfolio Optimization Using Pseudodistances

    Science.gov (United States)

    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. PMID:26468948

  3. Optimal control of hybrid vehicles

    CERN Document Server

    Jager, Bram; Kessels, John

    2013-01-01

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

  4. 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.

  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. 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

  8. 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...... 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...

  9. In-plant logistics optimalization

    OpenAIRE

    Maroušek, Jan

    2008-01-01

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

  10. 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.

  11. Assessing the consequences of unrealistic optimism: Challenges and recommendations.

    Science.gov (United States)

    Shepperd, James A; Pogge, Gabrielle; Howell, Jennifer L

    2017-04-01

    Of the hundreds of studies published on unrealistic optimism (i.e., expecting a better personal future than is reasonably likely), most have focused on demonstrating the phenomenon, examining boundary conditions, or documenting causes. Few studies have examined the consequences of unrealistic optimism. In this article, we provide an overview of the measurement of unrealistic optimism, review possible consequences, and identify numerous challenges confronting investigators attempting to understand the consequences. Assessing the consequences of unrealistic optimism is tricky, and ultimately probably impossible when researchers assess unrealistic optimism at the group level (which reveals if a group of people is displaying unrealistic optimism on average) rather than the individual level (which reveals whether a specific individual displays unrealistic optimism). We offer recommendations to researchers who wish to examine the consequences of unrealistic optimism. Copyright © 2016 Elsevier Inc. All rights reserved.

  12. Control parameter optimization for AP1000 reactor using Particle Swarm Optimization

    International Nuclear Information System (INIS)

    Wang, Pengfei; Wan, Jiashuang; Luo, Run; Zhao, Fuyu; Wei, Xinyu

    2016-01-01

    Highlights: • The PSO algorithm is applied for control parameter optimization of AP1000 reactor. • Key parameters of the MSHIM control system are optimized. • Optimization results are evaluated though simulations and quantitative analysis. - Abstract: The advanced mechanical shim (MSHIM) core control strategy is implemented in the AP1000 reactor for core reactivity and axial power distribution control simultaneously. The MSHIM core control system can provide superior reactor control capabilities via automatic rod control only. This enables the AP1000 to perform power change operations automatically without the soluble boron concentration adjustments. In this paper, the Particle Swarm Optimization (PSO) algorithm has been applied for the parameter optimization of the MSHIM control system to acquire better reactor control performance for AP1000. System requirements such as power control performance, control bank movement and AO control constraints are reflected in the objective function. Dynamic simulations are performed based on an AP1000 reactor simulation platform in each iteration of the optimization process to calculate the fitness values of particles in the swarm. The simulation platform is developed in Matlab/Simulink environment with implementation of a nodal core model and the MSHIM control strategy. Based on the simulation platform, the typical 10% step load decrease transient from 100% to 90% full power is simulated and the objective function used for control parameter tuning is directly incorporated in the simulation results. With successful implementation of the PSO algorithm in the control parameter optimization of AP1000 reactor, four key parameters of the MSHIM control system are optimized. It has been demonstrated by the calculation results that the optimized MSHIM control system parameters can improve the reactor power control capability and reduce the control rod movement without compromising AO control. Therefore, the PSO based optimization

  13. 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.

  14. The Accountability of Islamic Microfinance Institution: Evidence from Indonesia

    Directory of Open Access Journals (Sweden)

    Ersa Tri Wahyuni

    2008-03-01

    Full Text Available The article aims to provide current condition’s information on the accountability of Baitul Maal wat Tamwil (BMT in Indonesia. Lack of supervisory board and low demand for audited financial statements provide little incentive for BMT managers to make their financial statement audited by independent auditor. Statistical estimation technique about one sample proportion, give an estimation with 95% confidence level that only 7-20% of BMT is audited by independent auditor. Most of the reason for BMT not being audited are because they feel they do not need an audit and the price for audit is relatively expensive.

  15. Mathematical model of highways network optimization

    Science.gov (United States)

    Sakhapov, R. L.; Nikolaeva, R. V.; Gatiyatullin, M. H.; Makhmutov, M. M.

    2017-12-01

    The article deals with the issue of highways network design. Studies show that the main requirement from road transport for the road network is to ensure the realization of all the transport links served by it, with the least possible cost. The goal of optimizing the network of highways is to increase the efficiency of transport. It is necessary to take into account a large number of factors that make it difficult to quantify and qualify their impact on the road network. In this paper, we propose building an optimal variant for locating the road network on the basis of a mathematical model. The article defines the criteria for optimality and objective functions that reflect the requirements for the road network. The most fully satisfying condition for optimality is the minimization of road and transport costs. We adopted this indicator as a criterion of optimality in the economic-mathematical model of a network of highways. Studies have shown that each offset point in the optimal binding road network is associated with all other corresponding points in the directions providing the least financial costs necessary to move passengers and cargo from this point to the other corresponding points. The article presents general principles for constructing an optimal network of roads.

  16. Optimization of 3D Field Design

    Science.gov (United States)

    Logan, Nikolas; Zhu, Caoxiang

    2017-10-01

    Recent progress in 3D tokamak modeling is now leveraged to create a conceptual design of new external 3D field coils for the DIII-D tokamak. Using the IPEC dominant mode as a target spectrum, the Finding Optimized Coils Using Space-curves (FOCUS) code optimizes the currents and 3D geometry of multiple coils to maximize the total set's resonant coupling. The optimized coils are individually distorted in space, creating toroidal ``arrays'' containing a variety of shapes that often wrap around a significant poloidal extent of the machine. The generalized perturbed equilibrium code (GPEC) is used to determine optimally efficient spectra for driving total, core, and edge neoclassical toroidal viscosity (NTV) torque and these too provide targets for the optimization of 3D coil designs. These conceptual designs represent a fundamentally new approach to 3D coil design for tokamaks targeting desired plasma physics phenomena. Optimized coil sets based on plasma response theory will be relevant to designs for future reactors or on any active machine. External coils, in particular, must be optimized for reliable and efficient fusion reactor designs. Work supported by the US Department of Energy under DE-AC02-09CH11466.

  17. 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...

  18. 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.

  19. Decoding suprathreshold stochastic resonance with optimal weights

    International Nuclear Information System (INIS)

    Xu, Liyan; Vladusich, Tony; Duan, Fabing; Gunn, Lachlan J.; Abbott, Derek; McDonnell, Mark D.

    2015-01-01

    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

  20. Optimization of Heat Exchangers

    International Nuclear Information System (INIS)

    Catton, Ivan

    2010-01-01

    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 design.

  1. Optimized Kernel Entropy Components.

    Science.gov (United States)

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

    2017-06-01

    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.

  2. Optimization of entanglement witnesses

    Science.gov (United States)

    Lewenstein, M.; Kraus, B.; Cirac, J. I.; Horodecki, P.

    2000-11-01

    An entanglement witness (EW) is an operator that allows the detection of entangled states. We give necessary and sufficient conditions for such operators to be optimal, i.e., to detect entangled states in an optimal way. We show how to optimize general EW, and then we particularize our results to the nondecomposable ones; the latter are those that can detect positive partial transpose entangled states (PPTES's). We also present a method to systematically construct and optimize this last class of operators based on the existence of ``edge'' PPTES's, i.e., states that violate the range separability criterion [Phys. Lett. A 232, 333 (1997)] in an extreme manner. This method also permits a systematic construction of nondecomposable positive maps (PM's). Our results lead to a sufficient condition for entanglement in terms of nondecomposable EW's and PM's. Finally, we illustrate our results by constructing optimal EW acting on H=C2⊗C4. The corresponding PM's constitute examples of PM's with minimal ``qubit'' domains, or-equivalently-minimal Hermitian conjugate codomains.

  3. Stochastic optimization of loading pattern for PWR

    International Nuclear Information System (INIS)

    Smuc, T.; Pevec, D.

    1994-01-01

    The application of stochastic optimization methods in solving in-core fuel management problems is restrained by the need for a large number of proposed solutions loading patterns, if a high quality final solution is wanted. Proposed loading patterns have to be evaluated by core neutronics simulator, which can impose unrealistic computer time requirements. A new loading pattern optimization code Monte Carlo Loading Pattern Search has been developed by coupling the simulated annealing optimization algorithm with a fast one-and-a-half dimensional core depletion simulator. The structure of the optimization method provides more efficient performance and allows the user to empty precious experience in the search process, thus reducing the search space size. Hereinafter, we discuss the characteristics of the method and illustrate them on the results obtained by solving the PWR reload problem. (authors). 7 refs., 1 tab., 1 fig

  4. Optimal control novel directions and applications

    CERN Document Server

    Aronna, Maria; Kalise, Dante

    2017-01-01

    Focusing on applications to science and engineering, this book presents the results of the ITN-FP7 SADCO network’s innovative research in optimization and control in the following interconnected topics: optimality conditions in optimal control, dynamic programming approaches to optimal feedback synthesis and reachability analysis, and computational developments in model predictive control. The novelty of the book resides in the fact that it has been developed by early career researchers, providing a good balance between clarity and scientific rigor. Each chapter features an introduction addressed to PhD students and some original contributions aimed at specialist researchers. Requiring only a graduate mathematical background, the book is self-contained. It will be of particular interest to graduate and advanced undergraduate students, industrial practitioners and to senior scientists wishing to update their knowledge.

  5. Bayesian optimization for computationally extensive probability distributions.

    Science.gov (United States)

    Tamura, Ryo; Hukushima, Koji

    2018-01-01

    An efficient method for finding a better maximizer of computationally extensive probability distributions is proposed on the basis of a Bayesian optimization technique. A key idea of the proposed method is to use extreme values of acquisition functions by Gaussian processes for the next training phase, which should be located near a local maximum or a global maximum of the probability distribution. Our Bayesian optimization technique is applied to the posterior distribution in the effective physical model estimation, which is a computationally extensive probability distribution. Even when the number of sampling points on the posterior distributions is fixed to be small, the Bayesian optimization provides a better maximizer of the posterior distributions in comparison to those by the random search method, the steepest descent method, or the Monte Carlo method. Furthermore, the Bayesian optimization improves the results efficiently by combining the steepest descent method and thus it is a powerful tool to search for a better maximizer of computationally extensive probability distributions.

  6. Analysis Balance Parameter of Optimal Ramp metering

    Science.gov (United States)

    Li, Y.; Duan, N.; Yang, X.

    2018-05-01

    Ramp metering is a motorway control method to avoid onset congestion through limiting the access of ramp inflows into the main road of the motorway. The optimization model of ramp metering is developed based upon cell transmission model (CTM). With the piecewise linear structure of CTM, the corresponding motorway traffic optimization problem can be formulated as a linear programming (LP) problem. It is known that LP problem can be solved by established solution algorithms such as SIMPLEX or interior-point methods for the global optimal solution. The commercial software (CPLEX) is adopted in this study to solve the LP problem within reasonable computational time. The concept is illustrated through a case study of the United Kingdom M25 Motorway. The optimal solution provides useful insights and guidances on how to manage motorway traffic in order to maximize the corresponding efficiency.

  7. Aerodynamic Shape Optimization Using Hybridized Differential Evolution

    Science.gov (United States)

    Madavan, Nateri K.

    2003-01-01

    An aerodynamic shape optimization method that uses an evolutionary algorithm known at Differential Evolution (DE) in conjunction with various hybridization strategies is described. DE is a simple and robust evolutionary strategy that has been proven effective in determining the global optimum for several difficult optimization problems. Various hybridization strategies for DE are explored, including the use of neural networks as well as traditional local search methods. A Navier-Stokes solver is used to evaluate the various intermediate designs and provide inputs to the hybrid DE optimizer. The method is implemented on distributed parallel computers so that new designs can be obtained within reasonable turnaround times. Results are presented for the inverse design of a turbine airfoil from a modern jet engine. (The final paper will include at least one other aerodynamic design application). The capability of the method to search large design spaces and obtain the optimal airfoils in an automatic fashion is demonstrated.

  8. Optimization of educational paths for higher education

    Science.gov (United States)

    Tarasyev, Alexandr A.; Agarkov, Gavriil; Medvedev, Aleksandr

    2017-11-01

    In our research, we combine the theory of economic behavior and the methodology of increasing efficiency of the human capital to estimate the optimal educational paths. We provide an optimization model for higher education process to analyze possible educational paths for each rational individual. The preferences of each rational individual are compared to the best economically possible educational path. The main factor of the individual choice, which is formed by the formation of optimal educational path, deals with higher salaries level in the chosen economic sector after graduation. Another factor that influences on the economic profit is the reduction of educational costs or the possibility of the budget support for the student. The main outcome of this research consists in correction of the governmental policy of investment in human capital based on the results of educational paths optimal control.

  9. Time-optimal control with finite bandwidth

    Science.gov (United States)

    Hirose, M.; Cappellaro, P.

    2018-04-01

    Time-optimal control theory provides recipes to achieve quantum operations with high fidelity and speed, as required in quantum technologies such as quantum sensing and computation. While technical advances have achieved the ultrastrong driving regime in many physical systems, these capabilities have yet to be fully exploited for the precise control of quantum systems, as other limitations, such as the generation of higher harmonics or the finite response time of the control apparatus, prevent the implementation of theoretical time-optimal control. Here we present a method to achieve time-optimal control of qubit systems that can take advantage of fast driving beyond the rotating wave approximation. We exploit results from time-optimal control theory to design driving protocols that can be implemented with realistic, finite-bandwidth control fields, and we find a relationship between bandwidth limitations and achievable control fidelity.

  10. Software for the grouped optimal aggregation technique

    Science.gov (United States)

    Brown, P. M.; Shaw, G. W. (Principal Investigator)

    1982-01-01

    The grouped optimal aggregation technique produces minimum variance, unbiased estimates of acreage and production for countries, zones (states), or any designated collection of acreage strata. It uses yield predictions, historical acreage information, and direct acreage estimate from satellite data. The acreage strata are grouped in such a way that the ratio model over historical acreage provides a smaller variance than if the model were applied to each individual stratum. An optimal weighting matrix based on historical acreages, provides the link between incomplete direct acreage estimates and the total, current acreage estimate.

  11. Optimal hydrogenerator governor tuning with a genetic algorithm

    International Nuclear Information System (INIS)

    Lansberry, J.E.; Wozniak, L.; Goldberg, D.E.

    1992-01-01

    Many techniques exist for developing optimal controllers. This paper investigates genetic algorithms as a means of finding optimal solutions over a parameter space. In particular, the genetic algorithm is applied to optimal tuning of a governor for a hydrogenerator plant. Analog and digital simulation methods are compared for use in conjunction with the genetic algorithm optimization process. It is shown that analog plant simulation provides advantages in speed over digital plant simulation. This speed advantage makes application of the genetic algorithm in an actual plant environment feasible. Furthermore, the genetic algorithm is shown to possess the ability to reject plant noise and other system anomalies in its search for optimizing solutions

  12. 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.

  13. 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...

  14. Optimal Aging and Death

    DEFF Research Database (Denmark)

    Dalgaard, Carl-Johan Lars; Strulik, Holger

    2010-01-01

    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......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...... 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...

  15. Optimizing UML Class Diagrams

    Directory of Open Access Journals (Sweden)

    Sergievskiy Maxim

    2018-01-01

    Full Text Available Most of object-oriented development technologies rely on the use of the universal modeling language UML; class diagrams play a very important role in the design process play, used to build a software system model. Modern CASE tools, which are the basic tools for object-oriented development, can’t be used to optimize UML diagrams. In this manuscript we will explain how, based on the use of design patterns and anti-patterns, class diagrams could be verified and optimized. Certain transformations can be carried out automatically; in other cases, potential inefficiencies will be indicated and recommendations given. This study also discusses additional CASE tools for validating and optimizing of UML class diagrams. For this purpose, a plugin has been developed that analyzes an XMI file containing a description of class diagrams.

  16. First course in optimization

    CERN Document Server

    Byrne, Charles L

    2014-01-01

    Optimization without Calculus Chapter Summary The Arithmetic Mean-Geometric Mean Inequality An Application of the AGM Inequality: the Number e Extending the AGM Inequality Optimization Using the AGM Inequality The Holder and Minkowski Inequalities Cauchy's Inequality Optimizing using Cauchy's Inequality An Inner Product for Square Matrices Discrete Allocation Problems Geometric Programming Chapter Summary An Example of a GP Problem Posynomials and the GP Problem The Dual GP Problem Solving the GP Problem Solving the DGP Problem Constrained Geometric Programming Basic Analysis Chapter Summary Minima and Infima Limits Completeness Continuity Limsup and Liminf Another View Semi-Continuity Convex Sets Chapter SummaryThe Geometry of Real Euclidean Space A Bit of Topology Convex Sets in RJ More on Projections Linear and Affine Operators on RJ The Fundamental Theorems Block-Matrix Notation Theorems of the Alternative Another Proof of Farkas' Lemma Gordan's Theorem Revisited Vector Spaces and Matrices Chapter Summary...

  17. 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...... 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...

  18. Determining Optimal Decision Version

    Directory of Open Access Journals (Sweden)

    Olga Ioana Amariei

    2014-06-01

    Full Text Available In this paper we start from the calculation of the product cost, applying the method of calculating the cost of hour- machine (THM, on each of the three cutting machines, namely: the cutting machine with plasma, the combined cutting machine (plasma and water jet and the cutting machine with a water jet. Following the calculation of cost and taking into account the precision of manufacturing of each machine, as well as the quality of the processed surface, the optimal decisional version needs to be determined regarding the product manufacturing. To determine the optimal decisional version, we resort firstly to calculating the optimal version on each criterion, and then overall using multiattribute decision methods.

  19. Equipment cost optimization

    International Nuclear Information System (INIS)

    Ribeiro, E.M.; Farias, M.A.; Dreyer, S.R.B.

    1995-01-01

    Considering the importance of the cost of material and equipment in the overall cost profile of an oil company, which in the case of Petrobras, represents approximately 23% of the total operational cost or 10% of the sales, an organization for the optimization of such costs has been established within Petrobras. Programs are developed aiming at: optimization of life-cycle cost of material and equipment; optimization of industrial processes costs through material development. This paper describes the methodology used in the management of the development programs and presents some examples of concluded and ongoing programs, which are conducted in permanent cooperation with suppliers, technical laboratories and research institutions and have been showing relevant results

  20. 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...

  1. 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 ...

  2. Optimal Power Flow Pursuit

    Energy Technology Data Exchange (ETDEWEB)

    Dall' Anese, Emiliano; Simonetto, Andrea

    2018-03-01

    This paper considers distribution networks featuring inverter-interfaced distributed energy resources, and develops distributed feedback controllers that continuously drive the inverter output powers to solutions of AC optimal power flow (OPF) problems. Particularly, the controllers update the power setpoints based on voltage measurements as well as given (time-varying) OPF targets, and entail elementary operations implementable onto low-cost microcontrollers that accompany power-electronics interfaces of gateways and inverters. The design of the control framework is based on suitable linear approximations of the AC power-flow equations as well as Lagrangian regularization methods. Convergence and OPF-target tracking capabilities of the controllers are analytically established. Overall, the proposed method allows to bypass traditional hierarchical setups where feedback control and optimization operate at distinct time scales, and to enable real-time optimization of distribution systems.

  3. 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...

  4. Landscape encodings enhance optimization.

    Directory of Open Access Journals (Sweden)

    Konstantin Klemm

    Full Text Available Hard combinatorial optimization problems deal with the search for the minimum cost solutions (ground states of discrete systems under strong constraints. A transformation of state variables may enhance computational tractability. It has been argued that these state encodings are to be chosen invertible to retain the original size of the state space. Here we show how redundant non-invertible encodings enhance optimization by enriching the density of low-energy states. In addition, smooth landscapes may be established on encoded state spaces to guide local search dynamics towards the ground state.

  5. Surveillance test interval optimization

    International Nuclear Information System (INIS)

    Cepin, M.; Mavko, B.

    1995-01-01

    Technical specifications have been developed on the bases of deterministic analyses, engineering judgment, and expert opinion. This paper introduces our risk-based approach to surveillance test interval (STI) optimization. This approach consists of three main levels. The first level is the component level, which serves as a rough estimation of the optimal STI and can be calculated analytically by a differentiating equation for mean unavailability. The second and third levels give more representative results. They take into account the results of probabilistic risk assessment (PRA) calculated by a personal computer (PC) based code and are based on system unavailability at the system level and on core damage frequency at the plant level

  6. Disturbance by optimal discrimination

    Science.gov (United States)

    Kawakubo, Ryûitirô; Koike, Tatsuhiko

    2018-03-01

    We discuss the disturbance by measurements which unambiguously discriminate between given candidate states. We prove that such an optimal measurement necessarily changes distinguishable states indistinguishable when the inconclusive outcome is obtained. The result was previously shown by Chefles [Phys. Lett. A 239, 339 (1998), 10.1016/S0375-9601(98)00064-4] under restrictions on the class of quantum measurements and on the definition of optimality. Our theorems remove these restrictions and are also applicable to infinitely many candidate states. Combining with our previous results, one can obtain concrete mathematical conditions for the resulting states. The method may have a wide variety of applications in contexts other than state discrimination.

  7. Distributed Optimization System

    Science.gov (United States)

    Hurtado, John E.; Dohrmann, Clark R.; Robinett, III, Rush D.

    2004-11-30

    A search system and method for controlling multiple agents to optimize an objective using distributed sensing and cooperative control. The search agent can be one or more physical agents, such as a robot, and can be software agents for searching cyberspace. The objective can be: chemical sources, temperature sources, radiation sources, light sources, evaders, trespassers, explosive sources, time dependent sources, time independent sources, function surfaces, maximization points, minimization points, and optimal control of a system such as a communication system, an economy, a crane, and a multi-processor computer.

  8. ATHENA optimized coating design

    DEFF Research Database (Denmark)

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

    2012-01-01

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

  9. Satellite image collection optimization

    Science.gov (United States)

    Martin, William

    2002-09-01

    Imaging satellite systems represent a high capital cost. Optimizing the collection of images is critical for both satisfying customer orders and building a sustainable satellite operations business. We describe the functions of an operational, multivariable, time dynamic optimization system that maximizes the daily collection of satellite images. A graphical user interface allows the operator to quickly see the results of what if adjustments to an image collection plan. Used for both long range planning and daily collection scheduling of Space Imaging's IKONOS satellite, the satellite control and tasking (SCT) software allows collection commands to be altered up to 10 min before upload to the satellite.

  10. Advanced backend optimization

    CERN Document Server

    Touati, Sid

    2014-01-01

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

  11. 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

  12. Optimization of dental implantation

    Science.gov (United States)

    Dol, Aleksandr V.; Ivanov, Dmitriy V.

    2017-02-01

    Modern dentistry can not exist without dental implantation. This work is devoted to study of the "bone-implant" system and to optimization of dental prostheses installation. Modern non-invasive methods such as MRI an 3D-scanning as well as numerical calculations and 3D-prototyping allow to optimize all of stages of dental prosthetics. An integrated approach to the planning of implant surgery can significantly reduce the risk of complications in the first few days after treatment, and throughout the period of operation of the prosthesis.

  13. Towards Optimal PDE Simulations

    International Nuclear Information System (INIS)

    Keyes, David

    2009-01-01

    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.

  14. Landscape Encodings Enhance Optimization

    Science.gov (United States)

    Klemm, Konstantin; Mehta, Anita; Stadler, Peter F.

    2012-01-01

    Hard combinatorial optimization problems deal with the search for the minimum cost solutions (ground states) of discrete systems under strong constraints. A transformation of state variables may enhance computational tractability. It has been argued that these state encodings are to be chosen invertible to retain the original size of the state space. Here we show how redundant non-invertible encodings enhance optimization by enriching the density of low-energy states. In addition, smooth landscapes may be established on encoded state spaces to guide local search dynamics towards the ground state. PMID:22496860

  15. Optimal exploration target zones

    CSIR Research Space (South Africa)

    Debba, Pravesh

    2008-09-01

    Full Text Available -of-evidence (WofE) method logistic regression canonical favorability analysis neural networks evidential belief functions Optimal Exploration Target Zones Debba, Carranza, Stein, van der Meer Introduction to Remote Sensing Background and Objective of the study... for the following equation: n∑ i=r ( n i ) pi(1− p)n−i = 0.95 . (1) Optimal Exploration Target Zones Debba, Carranza, Stein, van der Meer Introduction to Remote Sensing Background and Objective of the study Methodology Results METHODS (cont. . . ): FITNESS FUNCTION...

  16. 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.

  17. Honing process optimization algorithms

    Science.gov (United States)

    Kadyrov, Ramil R.; Charikov, Pavel N.; Pryanichnikova, Valeria V.

    2018-03-01

    This article considers the relevance of honing processes for creating high-quality mechanical engineering products. The features of the honing process are revealed and such important concepts as the task for optimization of honing operations, the optimal structure of the honing working cycles, stepped and stepless honing cycles, simulation of processing and its purpose are emphasized. It is noted that the reliability of the mathematical model determines the quality parameters of the honing process control. An algorithm for continuous control of the honing process is proposed. The process model reliably describes the machining of a workpiece in a sufficiently wide area and can be used to operate the CNC machine CC743.

  18. 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

  19. 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.

  20. 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.

  1. Optimally cloned binary coherent states

    DEFF Research Database (Denmark)

    Mueller, C. R.; Leuchs, G.; Marquardt, Ch

    2017-01-01

    their quantum-optimal clones. We analyze the Wigner function and the cumulants of the clones, and we conclude that optimal cloning of binary coherent states requires a nonlinearity above second order. We propose several practical and near-optimal cloning schemes and compare their cloning fidelity to the optimal...

  2. HEURISTIC APPROACHES FOR PORTFOLIO OPTIMIZATION

    OpenAIRE

    Manfred Gilli, Evis Kellezi

    2000-01-01

    The paper first compares the use of optimization heuristics to the classical optimization techniques for the selection of optimal portfolios. Second, the heuristic approach is applied to problems other than those in the standard mean-variance framework where the classical optimization fails.

  3. Optimized mine ventilation on demand (OMVOD)

    International Nuclear Information System (INIS)

    Anderson, M.

    2009-01-01

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

  4. Optimal Market Design

    NARCIS (Netherlands)

    Boone, J.; Goeree, J.K.

    2010-01-01

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

  5. 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…

  6. 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...

  7. Optimization of Pipe Networks

    DEFF Research Database (Denmark)

    Hansen, C. T.; Madsen, Kaj; Nielsen, Hans Bruun

    1991-01-01

    algorithm using successive linear programming is presented. The performance of the algorithm is illustrated by optimizing a network with 201 pipes and 172 nodes. It is concluded that the new algorithm seems to be very efficient and stable, and that it always finds a solution with a cost near the best...

  8. 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...

  9. Slope constrained Topology Optimization

    DEFF Research Database (Denmark)

    Petersson, J.; Sigmund, Ole

    1998-01-01

    The problem of minimum compliance topology optimization of an elastic continuum is considered. A general continuous density-energy relation is assumed, including variable thickness sheet models and artificial power laws. To ensure existence of solutions, the design set is restricted by enforcing...

  10. 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...

  11. Fourier Series Optimization Opportunity

    Science.gov (United States)

    Winkel, Brian

    2008-01-01

    This note discusses the introduction of Fourier series as an immediate application of optimization of a function of more than one variable. Specifically, it is shown how the study of Fourier series can be motivated to enrich a multivariable calculus class. This is done through discovery learning and use of technology wherein students build the…

  12. Advanced BDD optimization

    CERN Document Server

    Ebendt, Rudiger; Drechsler, Rolf

    2005-01-01

    BDD and SAT are major concepts in VLSI CADNew objective functions for design space exploration require new algorithms for BDD optimizationLatest trend: fusion of the concepts BDD and SATMajor impulses come from Artificial Intelligence (AI)Unifying view, transfers the latest theoretical insights into practical applications.

  13. Toward Optimal Transport Networks

    Science.gov (United States)

    Alexandrov, Natalia; Kincaid, Rex K.; Vargo, Erik P.

    2008-01-01

    Strictly evolutionary approaches to improving the air transport system a highly complex network of interacting systems no longer suffice in the face of demand that is projected to double or triple in the near future. Thus evolutionary approaches should be augmented with active design methods. The ability to actively design, optimize and control a system presupposes the existence of predictive modeling and reasonably well-defined functional dependences between the controllable variables of the system and objective and constraint functions for optimization. Following recent advances in the studies of the effects of network topology structure on dynamics, we investigate the performance of dynamic processes on transport networks as a function of the first nontrivial eigenvalue of the network's Laplacian, which, in turn, is a function of the network s connectivity and modularity. The last two characteristics can be controlled and tuned via optimization. We consider design optimization problem formulations. We have developed a flexible simulation of network topology coupled with flows on the network for use as a platform for computational experiments.

  14. On optimal quadrature formulae

    Directory of Open Access Journals (Sweden)

    Lanzara Flavia

    2000-01-01

    Full Text Available A procedure to construct quadrature formulae which are exact for solutions of linear differential equations and are optimal in the sense of Sard is discussed. We give necessary and sufficient conditions under which such formulae do exist. Several formulae obtained by applying this method are considered and compared with well known formulae.

  15. Optimal Central Bank Transparency

    NARCIS (Netherlands)

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

    2008-01-01

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

  16. 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

  17. Optimal central bank transparency

    NARCIS (Netherlands)

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

    2010-01-01

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

  18. 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.

  19. Optimal decoupling controllers revisited

    Czech Academy of Sciences Publication Activity Database

    Kučera, Vladimír

    2013-01-01

    Roč. 42, č. 1 (2013), s. 1-16 ISSN 0324-8569 R&D Projects: GA TA ČR(CZ) TE01020197 Institutional support: RVO:67985556 Keywords : linear systems * fractional representations * decoupling control lers * stabilizing control lers * optimal control lers Subject RIV: BC - Control Systems Theory

  20. 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.

  1. Optimized tomography of observables

    International Nuclear Information System (INIS)

    D'Ariano, G.M.; Paris, G. A.

    1998-01-01

    Tomographic measurement of observables is revisited and an adaptive optimization of the kernel functions suggested. The method is based on the existence of a class of null functions, which have zero tomographic average for any state of radiation. The general procedure is illustrated, and application to relevant observables analyzed in details for coherent, squeezed and 'cat' states.(author)

  2. 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...

  3. Spatiotemporal AED Location Optimization

    NARCIS (Netherlands)

    Chan, Timothy C.Y.; Sun, Christopher L.F.; Demirtas, Derya; Morrison, Laurie J.; Brooks, Steven C.

    2015-01-01

    Background: Mathematical optimization can be used to plan future AED placement to maximize out-of-hospital cardiac arrest (OHCA) coverage. Many public access AEDs are placed in locations without 24/7 access. AED coverage can be overestimated unless temporal availability is considered. Objective: To

  4. Minimalism and Optimality Theory

    NARCIS (Netherlands)

    Broekhuis, H.; Woolford, E.; den Dikken, M.

    2013-01-01

    This article discusses the relation between the minimalist program (MP) and optimality theory (OT) and will show that, contrary to popular belief, MP and OT are not inherently incompatible or competing frameworks/theories. Instead, we will show (i) that the two can well be seen as complementary

  5. Is Optimism Real?

    Science.gov (United States)

    Simmons, Joseph P.; Massey, Cade

    2012-01-01

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

  6. Potentialitet og optimering

    DEFF Research Database (Denmark)

    Hamre, Bjørn

    . Afhandlingen kan både ses som et bidrag til eksisterende governmentality studier inden for uddannelse og som et bidrag til forskning i specialpædagogik. Optimering ses som en type rationalitetsform og magtudøvelse, der defi nerer problemforståelser i nutiden og sætter et skel mellem den adfærd, der inkluderes...

  7. Optimal Packed String Matching

    DEFF Research Database (Denmark)

    Ben-Kiki, Oren; Bille, Philip; Breslauer, Dany

    2011-01-01

    In the packed string matching problem, each machine word accommodates – characters, thus an n-character text occupies n/– memory words. We extend the Crochemore-Perrin constantspace O(n)-time string matching algorithm to run in optimal O(n/–) time and even in real-time, achieving a factor – speed...

  8. Optimal human capital policies

    Czech Academy of Sciences Publication Activity Database

    Boháček, Radim; Kapička, M.

    2008-01-01

    Roč. 55, č. 1 (2008), s. 1-16 ISSN 0304-3932 Institutional research plan: CEZ:AV0Z70850503 Keywords : dynamic optimal taxation * income taxation Subject RIV: AH - Economics Impact factor: 1.429, year: 2008

  9. Towards Optimal Transport Networks

    Directory of Open Access Journals (Sweden)

    Erik P. Vargo

    2010-08-01

    Full Text Available Our ultimate goal is to design transportation net- works whose dynamic performance metrics (e.g. pas- senger throughput, passenger delay, and insensitivity to weather disturbances are optimized. Here the fo- cus is on optimizing static features of the network that are known to directly affect the network dynamics. First, we present simulation results which support a connection between maximizing the first non-trivial eigenvalue of a network's Laplacian and superior air- port network performance. Then, we explore the ef- fectiveness of a tabu search heuristic for optimizing this metric by comparing experimental results to the- oretical upper bounds. We also consider generating upper bounds on a network's algebraic connectivity via the solution of semidefinite programming (SDP relaxations. A modification of an existing subgraph extraction algorithm is implemented to explore the underlying regional structures in the U.S. airport net- work, with the hope that the resulting localized struc- tures can be optimized independently and reconnected via a "backbone" network to achieve superior network performance.

  10. Optimal Quadratic Programming Algorithms

    CERN Document Server

    Dostal, Zdenek

    2009-01-01

    Quadratic programming (QP) is one technique that allows for the optimization of a quadratic function in several variables in the presence of linear constraints. This title presents various algorithms for solving large QP problems. It is suitable as an introductory text on quadratic programming for graduate students and researchers

  11. Pareto-optimal alloys

    DEFF Research Database (Denmark)

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

    2003-01-01

    Large databases that can be used in the search for new materials with specific properties remain an elusive goal in materials science. The problem is complicated by the fact that the optimal material for a given application is usually a compromise between a number of materials properties and the ......Large databases that can be used in the search for new materials with specific properties remain an elusive goal in materials science. The problem is complicated by the fact that the optimal material for a given application is usually a compromise between a number of materials properties...... and the cost. In this letter we present a database consisting of the lattice parameters, bulk moduli, and heats of formation for over 64 000 ordered metallic alloys, which has been established by direct first-principles density-functional-theory calculations. Furthermore, we use a concept from economic theory......, the Pareto-optimal set, to determine optimal alloy solutions for the compromise between low compressibility, high stability, and cost....

  12. Optimal fault signal estimation

    NARCIS (Netherlands)

    Stoorvogel, Antonie Arij; Niemann, H.H.; Saberi, A.; Sannuti, P.

    2002-01-01

    We consider here both fault identification and fault signal estimation. Regarding fault identification, we seek either exact or almost fault identification. On the other hand, regarding fault signal estimation, we seek either $H_2$ optimal, $H_2$ suboptimal or Hinfinity suboptimal estimation. By

  13. Optimization of accelerator control

    International Nuclear Information System (INIS)

    Vasiljev, N.D.; Mozin, I.V.; Shelekhov, V.A.; Efremov, D.V.

    1992-01-01

    Expensive exploitation of charged particle accelerators is inevitably concerned with requirements of effectively obtaining of the best characteristics of accelerated beams for physical experiments. One of these characteristics is intensity. Increase of intensity is hindered by a number of effects, concerned with the influence of the volume charge field on a particle motion dynamics in accelerator's chamber. However, ultimate intensity, determined by a volume charge, is almost not achieved for the most of the operating accelerators. This fact is caused by losses of particles during injection, at the initial stage of acceleration and during extraction. These losses are caused by deviations the optimal from real characteristics of the accelerating and magnetic system. This is due to a number of circumstances, including technological tolerances on structural elements of systems, influence of measuring and auxiliary equipment and beam consumers' installations, placed in the closed proximity to magnets, and instability in operation of technological systems of accelerator. Control task consists in compensation of deviations of characteristics of magnetic and electric fields by optimal selection of control actions. As for technical means, automatization of modern accelerators allows to solve optimal control problems in real time. Therefore, the report is devoted to optimal control methods and experimental results. (J.P.N.)

  14. Optimal crowd evacuation

    NARCIS (Netherlands)

    Hoogendoorn, S.P.; Daamen, W.; Duives, D.C.; Van Wageningen-Kessels, F.L.M.

    2013-01-01

    This paper deals with the optimal allocation of routes, destination, and departure times to members of a crowd, for instance in case of an evacuation or another hazardous situation in which the people need to leave the area as quickly as possible. The generic approach minimizes the evacuation times,

  15. Customized power quality service provided by converter interfaced microgrids — Voltage harmonics as a study case

    DEFF Research Database (Denmark)

    Meng, Lexuan; Chaudhary, Sanjay K.; Guerrero, Josep M.

    2017-01-01

    Customers may have different power quality requirements, thus, the economic operational strategy can try to provide them with distinctive quality levels as customized service. An optimization based method is proposed in this paper to realize this functionality, offering the possibility...

  16. 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.

  17. 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.

  18. Optimal reload and depletion method for pressurized water reactors

    International Nuclear Information System (INIS)

    Ahn, D.H.

    1984-01-01

    A new method has been developed to automatically reload and deplete a PWR so that both the enriched inventory requirements during the reactor cycle and the cost of reloading the core are minimized. This is achieved through four stepwise optimization calculations: 1) determination of the minimum fuel requirement for an equivalent three-region core model, 2) optimal selection and allocation of fuel requirement for an equivalent three-region core model, 2) optimal selection and allocation of fuel assemblies for each of the three regions to minimize the cost of the fresh reload fuel, 3) optimal placement of fuel assemblies to conserve regionwise optimal conditions and 4) optimal control through poison management to deplete individual fuel assemblies to maximize EOC k/sub eff/. Optimizing the fuel cost of reloading and depleting a PWR reactor cycle requires solutions to two separate optimization calculations. One of these minimizes the enriched fuel inventory in the core by optimizing the EOC k/sub eff/. The other minimizes the cost of the fresh reload cost. Both of these optimization calculations have now been combined to provide a new method for performing an automatic optimal reload of PWR's. The new method differs from previous methods in that the optimization process performs all tasks required to reload and deplete a PWR

  19. Power system optimization

    International Nuclear Information System (INIS)

    Bogdan, Zeljko; Cehil, Mislav

    2007-01-01

    Long-term gas purchase contracts usually determine delivery and payment for gas on the regular hourly basis, independently of demand side consumption. In order to use fuel gas in an economically viable way, optimization of gas distribution for covering consumption must be introduced. In this paper, a mathematical model of the electric utility system which is used for optimization of gas distribution over electric generators is presented. The utility system comprises installed capacity of 1500 MW of thermal power plants, 400 MW of combined heat and power plants, 330 MW of a nuclear power plant and 1600 MW of hydro power plants. Based on known demand curve the optimization model selects plants according to the prescribed criteria. Firstly it engages run-of-river hydro plants, then the public cogeneration plants, the nuclear plant and thermal power plants. Storage hydro plants are used for covering peak load consumption. In case of shortage of installed capacity, the cross-border purchase is allowed. Usage of dual fuel equipment (gas-oil), which is available in some thermal plants, is also controlled by the optimization procedure. It is shown that by using such a model it is possible to properly plan the amount of fuel gas which will be contracted. The contracted amount can easily be distributed over generators efficiently and without losses (no breaks in delivery). The model helps in optimizing of fuel gas-oil ratio for plants with combined burners and enables planning of power plants overhauls over a year in a viable and efficient way. (author)

  20. (Too) optimistic about optimism: the belief that optimism improves performance.

    Science.gov (United States)

    Tenney, Elizabeth R; Logg, Jennifer M; Moore, Don A

    2015-03-01

    A series of experiments investigated why people value optimism and whether they are right to do so. In Experiments 1A and 1B, participants prescribed more optimism for someone implementing decisions than for someone deliberating, indicating that people prescribe optimism selectively, when it can affect performance. Furthermore, participants believed optimism improved outcomes when a person's actions had considerable, rather than little, influence over the outcome (Experiment 2). Experiments 3 and 4 tested the accuracy of this belief; optimism improved persistence, but it did not improve performance as much as participants expected. Experiments 5A and 5B found that participants overestimated the relationship between optimism and performance even when their focus was not on optimism exclusively. In summary, people prescribe optimism when they believe it has the opportunity to improve the chance of success-unfortunately, people may be overly optimistic about just how much optimism can do. PsycINFO Database Record (c) 2015 APA, all rights reserved.

  1. Inventory Optimization through Safety Stock Schemata

    Directory of Open Access Journals (Sweden)

    Abdul Aleem

    2013-04-01

    Full Text Available In the complex business environment and stiff competition, inventory optimization in an industry's supply chain has gained tremendous significance. It has become business imperative to optimally tune the supply chain and save lot of working capital by reducing inventory levels; this can surely be done while increasing the customer service level and utilizing the internal capacities optimally. Stock out costs and stock surplus costs both impact businesses badly, the former in the form of opportunity loss and resultantly causing customer annoyance and later in high financial markups and increasing cost and reducing margins accordingly. So inventory optimization can essentially help to reduce costs, which results in a considerable improvement of the company performance indicators. Traditional IMS (Inventory Management System followed in a selected manufacturing industry has been examined for all types of inventories, i.e. raw materials; WIP (Work In Process, and finished goods as a case study. The paper suggests an optimized inventory model for an organization to provide the best possible customer service within the restraint of the lowest practical inventory costs. The safety stock optimization was implemented in a complex business environment and considerable savings were realized thereof

  2. 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.

  3. Turnpike phenomenon and infinite horizon optimal control

    CERN Document Server

    Zaslavski, Alexander J

    2014-01-01

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

  4. Optimized nonorthogonal transforms for image compression.

    Science.gov (United States)

    Guleryuz, O G; Orchard, M T

    1997-01-01

    The transform coding of images is analyzed from a common standpoint in order to generate a framework for the design of optimal transforms. It is argued that all transform coders are alike in the way they manipulate the data structure formed by transform coefficients. A general energy compaction measure is proposed to generate optimized transforms with desirable characteristics particularly suited to the simple transform coding operation of scalar quantization and entropy coding. It is shown that the optimal linear decoder (inverse transform) must be an optimal linear estimator, independent of the structure of the transform generating the coefficients. A formulation that sequentially optimizes the transforms is presented, and design equations and algorithms for its computation provided. The properties of the resulting transform systems are investigated. In particular, it is shown that the resulting basis are nonorthogonal and complete, producing energy compaction optimized, decorrelated transform coefficients. Quantization issues related to nonorthogonal expansion coefficients are addressed with a simple, efficient algorithm. Two implementations are discussed, and image coding examples are given. It is shown that the proposed design framework results in systems with superior energy compaction properties and excellent coding results.

  5. 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...

  6. Constrained optimization via simulation models for new product innovation

    Science.gov (United States)

    Pujowidianto, Nugroho A.

    2017-11-01

    We consider the problem of constrained optimization where the decision makers aim to optimize the primary performance measure while constraining the secondary performance measures. This paper provides a brief overview of stochastically constrained optimization via discrete event simulation. Most review papers tend to be methodology-based. This review attempts to be problem-based as decision makers may have already decided on the problem formulation. We consider constrained optimization models as there are usually constraints on secondary performance measures as trade-off in new product development. It starts by laying out different possible methods and the reasons using constrained optimization via simulation models. It is then followed by the review of different simulation optimization approach to address constrained optimization depending on the number of decision variables, the type of constraints, and the risk preferences of the decision makers in handling uncertainties.

  7. A Stochastic Multiobjective Optimization Framework for Wireless Sensor Networks

    Directory of Open Access Journals (Sweden)

    Shibo He

    2010-01-01

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

  8. Optimal Allocation of Renewable Energy Sources for Energy Loss Minimization

    Directory of Open Access Journals (Sweden)

    Vaiju Kalkhambkar

    2017-03-01

    Full Text Available Optimal allocation of renewable distributed generation (RDG, i.e., solar and the wind in a distribution system becomes challenging due to intermittent generation and uncertainty of loads. This paper proposes an optimal allocation methodology for single and hybrid RDGs for energy loss minimization. The deterministic generation-load model integrated with optimal power flow provides optimal solutions for single and hybrid RDG. Considering the complexity of the proposed nonlinear, constrained optimization problem, it is solved by a robust and high performance meta-heuristic, Symbiotic Organisms Search (SOS algorithm. Results obtained from SOS algorithm offer optimal solutions than Genetic Algorithm (GA, Particle Swarm Optimization (PSO and Firefly Algorithm (FFA. Economic analysis is carried out to quantify the economic benefits of energy loss minimization over the life span of RDGs.

  9. Factors influencing the profitability of optimizing control systems

    International Nuclear Information System (INIS)

    Broussaud, A.; Guyot, O.

    1999-01-01

    Optimizing control systems supplement conventional Distributed Control Systems and Programmable Logic Controllers. They continuously implement set points, which aim at maximizing the profitability of plant operation. They are becoming an integral part of modern mineral processing plants. This trend is justified by economic considerations, optimizing control being among the most cost-effective methods of improving metallurgical plant performance. The paper successively analyzes three sets of factors, which influence the profitability of optimizing control systems, and provides guidelines for analyzing the potential value of an optimizing control system at a given operation: external factors, such as economic factors and factors related to plant feed; features of the optimizing control system; and subsequent maintenance of the optimizing control system. It is shown that pay back times for optimization control projects are typically measured in days. The OCS software used by the authors for their applications is described briefly. (author)

  10. 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%.

  11. Fuzziness and randomness in an optimization framework

    International Nuclear Information System (INIS)

    Luhandjula, M.K.

    1994-03-01

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

  12. 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.

  13. Optimal mechanisms for single machine scheduling

    NARCIS (Netherlands)

    Heydenreich, B.; Mishra, D.; Müller, R.; Uetz, Marc Jochen; Papadimitriou, C.; Zhang, S.

    2008-01-01

    We study the design of optimal mechanisms in a setting here job-agents compete for being processed by a service provider that can handle one job at a time. Each job has a processing time and incurs a waiting cost. Jobs need to be compensated for waiting. We consider two models, one where only the

  14. Financing and funding health care: Optimal policy and political implementability.

    Science.gov (United States)

    Nuscheler, Robert; Roeder, Kerstin

    2015-07-01

    Health care financing and funding are usually analyzed in isolation. This paper combines the corresponding strands of the literature and thereby advances our understanding of the important interaction between them. We investigate the impact of three modes of health care financing, namely, optimal income taxation, proportional income taxation, and insurance premiums, on optimal provider payment and on the political implementability of optimal policies under majority voting. Considering a standard multi-task agency framework we show that optimal health care policies will generally differ across financing regimes when the health authority has redistributive concerns. We show that health care financing also has a bearing on the political implementability of optimal health care policies. Our results demonstrate that an isolated analysis of (optimal) provider payment rests on very strong assumptions regarding both the financing of health care and the redistributive preferences of the health authority. Copyright © 2015 Elsevier B.V. All rights reserved.

  15. Analysis of neighborhood behavior in lead optimization and array design.

    Science.gov (United States)

    Papadatos, George; Cooper, Anthony W J; Kadirkamanathan, Visakan; Macdonald, Simon J F; McLay, Iain M; Pickett, Stephen D; Pritchard, John M; Willett, Peter; Gillet, Valerie J

    2009-02-01

    Neighborhood behavior describes the extent to which small structural changes defined by a molecular descriptor are likely to lead to small property changes. This study evaluates two methods for the quantification of neighborhood behavior: the optimal diagonal method of Patterson et al. and the optimality criterion method of Horvath and Jeandenans. The methods are evaluated using twelve different types of fingerprint (both 2D and 3D) with screening data derived from several lead optimization projects at GlaxoSmithKline. The principal focus of the work is the design of chemical arrays during lead optimization, and the study hence considers not only biological activity but also important drug properties such as metabolic stability, permeability, and lipophilicity. Evidence is provided to suggest that the optimality criterion method may provide a better quantitative description of neighborhood behavior than the optimal diagonal method.

  16. Optimization methods applied to hybrid vehicle design

    Science.gov (United States)

    Donoghue, J. F.; Burghart, J. H.

    1983-01-01

    The use of optimization methods as an effective design tool in the design of hybrid vehicle propulsion systems is demonstrated. Optimization techniques were used to select values for three design parameters (battery weight, heat engine power rating and power split between the two on-board energy sources) such that various measures of vehicle performance (acquisition cost, life cycle cost and petroleum consumption) were optimized. The apporach produced designs which were often significant improvements over hybrid designs already reported on in the literature. The principal conclusions are as follows. First, it was found that the strategy used to split the required power between the two on-board energy sources can have a significant effect on life cycle cost and petroleum consumption. Second, the optimization program should be constructed so that performance measures and design variables can be easily changed. Third, the vehicle simulation program has a significant effect on the computer run time of the overall optimization program; run time can be significantly reduced by proper design of the types of trips the vehicle takes in a one year period. Fourth, care must be taken in designing the cost and constraint expressions which are used in the optimization so that they are relatively smooth functions of the design variables. Fifth, proper handling of constraints on battery weight and heat engine rating, variables which must be large enough to meet power demands, is particularly important for the success of an optimization study. Finally, the principal conclusion is that optimization methods provide a practical tool for carrying out the design of a hybrid vehicle propulsion system.

  17. Optimizing a reconfigurable material via evolutionary computation

    Science.gov (United States)

    Wilken, Sam; Miskin, Marc Z.; Jaeger, Heinrich M.

    2015-08-01

    Rapid prototyping by combining evolutionary computation with simulations is becoming a powerful tool for solving complex design problems in materials science. This method of optimization operates in a virtual design space that simulates potential material behaviors and after completion needs to be validated by experiment. However, in principle an evolutionary optimizer can also operate on an actual physical structure or laboratory experiment directly, provided the relevant material parameters can be accessed by the optimizer and information about the material's performance can be updated by direct measurements. Here we provide a proof of concept of such direct, physical optimization by showing how a reconfigurable, highly nonlinear material can be tuned to respond to impact. We report on an entirely computer controlled laboratory experiment in which a 6 ×6 grid of electromagnets creates a magnetic field pattern that tunes the local rigidity of a concentrated suspension of ferrofluid and iron filings. A genetic algorithm is implemented and tasked to find field patterns that minimize the force transmitted through the suspension. Searching within a space of roughly 1010 possible configurations, after testing only 1500 independent trials the algorithm identifies an optimized configuration of layered rigid and compliant regions.

  18. Multicore-Optimized Wavefront Diamond Blocking for Optimizing Stencil Updates

    KAUST Repository

    Malas, T.

    2015-07-02

    The importance of stencil-based algorithms in computational science has focused attention on optimized parallel implementations for multilevel cache-based processors. Temporal blocking schemes leverage the large bandwidth and low latency of caches to accelerate stencil updates and approach theoretical peak performance. A key ingredient is the reduction of data traffic across slow data paths, especially the main memory interface. In this work we combine the ideas of multicore wavefront temporal blocking and diamond tiling to arrive at stencil update schemes that show large reductions in memory pressure compared to existing approaches. The resulting schemes show performance advantages in bandwidth-starved situations, which are exacerbated by the high bytes per lattice update case of variable coefficients. Our thread groups concept provides a controllable trade-off between concurrency and memory usage, shifting the pressure between the memory interface and the CPU. We present performance results on a contemporary Intel processor.

  19. Multicore-Optimized Wavefront Diamond Blocking for Optimizing Stencil Updates

    KAUST Repository

    Malas, T.; Hager, G.; Ltaief, Hatem; Stengel, H.; Wellein, G.; Keyes, David E.

    2015-01-01

    The importance of stencil-based algorithms in computational science has focused attention on optimized parallel implementations for multilevel cache-based processors. Temporal blocking schemes leverage the large bandwidth and low latency of caches to accelerate stencil updates and approach theoretical peak performance. A key ingredient is the reduction of data traffic across slow data paths, especially the main memory interface. In this work we combine the ideas of multicore wavefront temporal blocking and diamond tiling to arrive at stencil update schemes that show large reductions in memory pressure compared to existing approaches. The resulting schemes show performance advantages in bandwidth-starved situations, which are exacerbated by the high bytes per lattice update case of variable coefficients. Our thread groups concept provides a controllable trade-off between concurrency and memory usage, shifting the pressure between the memory interface and the CPU. We present performance results on a contemporary Intel processor.

  20. Radiological assessment and optimization

    International Nuclear Information System (INIS)

    Zeevaert, T.; Sohier, A.

    1998-01-01

    The objectives of SCK-CEN's research in the field of radiological assessment and optimization are (1) to implement ALARA principles in activities with radiological consequences; (2) to develop methodologies for radiological optimization in decision-aiding; (3) to improve methods to assess in real time the radiological hazards in the environment in case of an accident; (4) to develop methods and programmes to assist decision-makers during a nuclear emergency; (5) to support the policy of radioactive waste management authorities in the field of radiation protection; (6) to investigate computer codes in the area of multi criteria analysis; (7) to organise courses on off-site emergency response to nuclear accidents. Main achievements in these areas for 1997 are summarised