Dağıtım transformatörlerinin metasezgisel algoritmalarla tasarım optimizasyonu

06.03.2018 tarihli ve 30352 sayılı Resmi Gazetede yayımlanan “Yükseköğretim Kanunu İle Bazı Kanun Ve Kanun Hükmünde Kararnamelerde Değişiklik Yapılması Hakkında Kanun” ile 18.06.2018 tarihli “Lisansüstü Tezlerin Elektronik Ortamda Toplanması, Düzenlenmesi ve Erişime Açılmasına İlişkin Yönerge” gereğince tam metin erişime açılmıştır.Dünyadaki pek çok ekonomi, yüksek verimli transformatörlerin kullanımını zorunlu kılan veya teşvik eden enerji verimliliği yönetmelikleri veya teşvik programları kabul etmiştir. Öte yandan, transformatör verimliliğindeki artışlar, transformatör ağırlık ve boyutunda bazen % 50 hatta daha fazla bir artışı gerektirmektedir. Transformatör endüstrisi bu nedenle gerçekten en iyi tasarımları geliştirme uğraşısı ile karşı karşıyadır. Transformatör tasarım optimizasyonu (TDO) problemi, karmaşık ve süreksiz amaç fonksiyonlu ve kısıtlı karma-tamsayılı bir doğrusal olmayan programlama problemidir. TDO'nun amacı, ulusal ve/veya ulusal standartlar ve müşteri şartnameleri uyarıca, mevcut malzemeleri ekonomik olarak kullanarak daha düşük boyut, ağırlık ve maliyet ve daha yüksek işletme performansı elde etmek üzere transformatörün tüm bileşenlerinin niteliklerinin detaylı olarak hesaplanmasıdır. Bu çalışmada TDO probleminin çözümü için beş modern metasezgisel optimizasyon algoritması uygulamasının ayrıntılı karşılaştırmalı analizi üç test vakası üzerinde gösterilmiş ve iki algoritma önerilmiştir önerilen bu algoritmaların, rassal özelliklerine rağmen, garanti edilmiş küresel yakınsama özelliklerine sahip oldukları doğrulanmıştır. Algoritmaların karşılaştırılması için pragmatik bir kıyaslama yöntemi geliştirilmiştir. Literatürde sunulan TDO yöntemleri nadiren üretimde doğrudan uygulanabilir çözümler üretir. tasarım mühendisinin genellikle teorik çözümü pratik olarak uygulanabilir bir hale dönüştürmek için ek çaba harcaması gerekir. Bu problem bu çalışmada ele alınmış ve piyasada mevcut veya üretime uygun boyutlara sahip çözümler üreten bir ayrık transformatör tasarım optimizasyon yöntemi önerilmiştir Ayrıca, amaç fonksiyonu ve kısıt hesaplamalarını azaltmak için basit bir yöntem önerilmiştir. Yöntem, önbellekleme tekniği kullanılarak arama işlemi sırasında yinelenen tasarım vektörleri için hesaplamaların atlanması esasına dayanmaktadır. Performans testleri, teorik TDO için Rekabetçi-Uyarlamalı Diferansiyel Gelişim ve Guguk Kuşu Arama, Pratik TDO için de Guguk Kuşu Arama ve Çiçek Tozlaşma algoritmaları kullanıldığında küresel optimum ve ona çok yakın sonuçlar elde edildiğini göstermiştir.Many economies in the world have adopted energy-efficiency requirements or incentive programs mandating or promoting the use of energy-efficient transformers. On the other hand, increases in transformer efficiency are subject to increases in transformer weight and size, sometimes as much as 50% or even more. The transformer manufacturing industry is therefore faced with the challenge to develop truly optimum designs. Transformer design optimization (TDO) is a mixed-integer nonlinear programming problem having complex and discontinuous objective function and constraints, with the objective of detailed calculation of the characteristics of a transformer based on national and/or international standards and transformer user and two algorithms are proposed, for which it has been verified that they possess guaranteed global convergence properties in spite of their inherent stochastic nature. A pragmatic benchmarking scheme is used for comparison of the algorithms. Transformer design optimization methods presented in the literature rarely yield solutions directly applicable in productionrequirements, using available materials and manufacturing processes, to minimize manufacturing cost or total owning cost, while maximizing operating performance. Detailed comparative analysis of the application of five modern metaheuristic optimization algorithms for the solution of TDO problem are carried out in this study, demonstrated on three test cases the design engineer usually needs to convert the theoretical solution to a practical one. This problem is addressed in this study, and a discrete transformer design optimization method is proposed which yields solutions with commercially available or productionally feasible dimensions Furthermore, a simple method is proposed to reduce the number of objective function and constraint calculations. The method is based on skipping calculations for design vectors recurring during the search process, by the use of caching technique Performance tests showed that global or near-global optimum solutions can be obtained with b6e6rl and CS for TDO, and CS and FPA algorithms for DTDO

Evaluation of the Survey Made Among SAÜ Computer Engineering Mixed Education Students by Using Open Source Code Data Mining Software

Veri tabanlarındaki veriler arasında bulunan ilişkiler, örüntüler, sapma ve eğilimler gibi bilgilerin ortaya çıkarılması ve keşfi veri madenciliğinin temelini oluşturur.  Ortaya çıkarılan bu bilgiler faaliyete yönelik karar destek sistemleri için gerekli temel verileri sağlar. Bu çalışmada Sakarya Üniversitesi Bilgisayar ve Bilişim Sistemleri Fakültesi Bilgisayar Mühendisliği bölümünde uygulanmakta olan Karma Eğitim Programı öğrencileri arasında yapılan bir anket veri madenciliği birliktelik analizi yöntemiyle incelenerek öğrencilerin memnuniyet ve başarılarını etkileyen etmenler belirlenmeye çalışılmıştır. Çalışmada açık kaynak kodlu veri madenciliği yazılımları kullanılmıştır

Design optimization of distribution transformers with nature-inspired metaheuristics: a comparative analysis

Many economies in the world have adopted energy-efficiency requirements or incentive programs mandating or promoting the use of energy-efficient transformers. On the other hand, increases in transformer efficiency are subject to increases in transformer weight and size, sometimes as much as 50% or more. The transformer manufacturing industry is therefore faced with the challenge to develop truly optimum designs. Transformer design optimization (TDO) is a mixed integer nonlinear programming problem having a complex and discontinuous objective function and constraints, with the objective of detailed calculation of the characteristics of a transformer based on national and/or international standards and transformer user requirements, using available materials and manufacturing processes, to minimize manufacturing cost or total owning cost while maximizing operating performance. This paper gives a detailed comparative analysis of the application of five modern nature-inspired metaheuristic optimization algorithms for the solution of the TDO problem, demonstrated on three test cases, and proposes two algorithms, for which it has been verified that they possess guaranteed global convergence properties in spite of their inherent stochastic nature. A pragmatic benchmarking scheme is used for comparison of the algorithms. It is expected that the use of these two algorithms would have a significant contribution to the reduction of the design and manufacturing costs of transformers

Discrete design optimization of distribution transformers with guaranteed optimum convergence using the cuckoo search algorithm

Transformer design optimization methods presented in the literature rarely yield solutions directly applicable in production; the design engineer usually needs to convert the theoretical solution to a practical one. This problem is addressed in this paper, and a discrete transformer design optimization method is proposed that yields solutions with commercially available or productionally feasible dimensions, thus eliminating the need for further efforts of the design engineer to make the theoretical solution a feasible one. The cuckoo search, a nature-inspired metaheuristic algorithm, is used as the optimization algorithm in this study, and it is shown that the guaranteed global optimum solution is attained in a single run. Furthermore, a simple method is proposed to reduce the number of objective function and constraint calculations. The method is based on skipping calculations for design vectors recurring during the search process by use a caching technique. It is envisaged that the use of the proposed method will make a significant contribution to the streamlining of the quotation and design processes in the transformer industry as well as standardization of production materials

EVALUATION OF CHILDHOOD POISONINGS IN CUKUROVA REGION

WOS: 000269311600008Objective: The aim of this study was to clarify to determine the causes of childhood poisonings by time on account of socioeconomic and cultural alterations in Cukurova region and to steadily attain the data for treatment and prevention. Matetial and Method: This study was composed of poisoning cases attending to pediatric emergency medicine room from 1997 to 2001 with ages between 0-14 years old. The data about poisoning cases were extracted from patients' medical records in emergency room. In the study demographics of cases, the route and reason of poisonings and materials causing poisonings were evaluated. Results: In 5 years period totally 486 patients, 250 boys and 236 girls, were admitted to pediatric emergency room. Most of the poisoning cases were due to air accident (89.3%), and they were between 1-3 years old. Suicide attempts had the highest ratio in cases over 10 years age, and were more common in girls. The causes of poisoning were found to be drugs (42.6%), animal-insect bites insectisides-farming disinfectants (10.3%) and costic substances (8.6%). Most cases with drug poisonings were caused by CNS drugs, especially amitriptiline (32.8%). In all poisoning cases, 99.6% of cases have recovered completely but two cases (snake and scorpion envenomation) died (0.4%). Conclusion: The majority of poisonings in the childhood period happen due toaccidental ingestion of drugs. This condition shows us that simple precautions like family education, keeping drugs unreachable for children, unavailability of drugs without prescription and child-resistant package may prevent most of the poisonings

Serum and cerebrospinal fluid interleukin-6 and interleukin-8 levels in children with tuberculous, bacterial and aseptic meningitis

Purpose: It is aimed to to determine the concentrations of interleukin-6 (IL-6) and IL-8 levels in cerebrospinal fluid (CSF) and serum of the patients with tuberculous meningitis (TBM), bacterial meningitis (BM), and aseptic meningitis (AM). Methods: Thirty-eight children with meningitis (20 boys and 18 girls) who had no previous antibiotic therapy and 12 controls (6 boys and 6 girls) were included in this study. IL-6 and IL-8 concentrations in serum and CSF samples of 10 patients with TBM, 17 with BM, and 11 with AM were measured by a quantitative solid phase enzyme amplified sensitivity immunoassay. The inflammatory parameters of CSF such as leukocyte, protein, and glucose levels were also measured. Results: The mean serum and CSF levels of IL-6 and IL-8 in children with TBM and BM were significantly higher than those patients with aseptic meningitis and the controls. While the mean CSF IL-6 and IL-8 levels were found to be higher than serum IL-6 and IL-8 levels in patients with BM and TBM, there were no significant differences between serum and CSF IL-6 and IL-8 levels in patients with AM and the control group. Conclusion: As IL-6 and IL-8 levels were not increased in every patient and overlap the levels of the control group; apparently high levels may be considered as a supportive finding for the early diagnosis of TBM and BM.Purpose: It is aimed to to determine the concentrations of interleukin-6 (IL-6) and IL-8 levels in cerebrospinal fluid (CSF) and serum of the patients with tuberculous meningitis (TBM), bacterial meningitis (BM), and aseptic meningitis (AM). Methods: Thirty-eight children with meningitis (20 boys and 18 girls) who had no previous antibiotic therapy and 12 controls (6 boys and 6 girls) were included in this study. IL-6 and IL-8 concentrations in serum and CSF samples of 10 patients with TBM, 17 with BM, and 11 with AM were measured by a quantitative solid phase enzyme amplified sensitivity immunoassay. The inflammatory parameters of CSF such as leukocyte, protein, and glucose levels were also measured. Results: The mean serum and CSF levels of IL-6 and IL-8 in children with TBM and BM were significantly higher than those patients with aseptic meningitis and the controls. While the mean CSF IL-6 and IL-8 levels were found to be higher than serum IL-6 and IL-8 levels in patients with BM and TBM, there were no significant differences between serum and CSF IL-6 and IL-8 levels in patients with AM and the control group. Conclusion: As IL-6 and IL-8 levels were not increased in every patient and overlap the levels of the control group; apparently high levels may be considered as a supportive finding for the early diagnosis of TBM and BM

Consensus Report on Patient Blood Management in Cardiac Surgery by Turkish Society of Cardiovascular Surgery (TSCVS), Turkish Society of Cardiology (TSC), and Society of Cardio-Vascular-Thoracic Anaesthesia and Intensive Care (SCTAIC)

Anemia, transfusion and bleeding independently increase the risk of complications and mortality in cardiac surgery. The main goals of patient blood management are to treat anemia, prevent bleeding, and optimize the use of blood products during the perioperative period. The benefit of this program has been confirmed in many studies and its utilization is strongly recommended by professional organizations. This consensus report has been prepared by the authors who are the task members appointed by the Turkish Society of Cardiovascular Surgery, Turkish Society of Cardiology (TSC), and Society of Cardio-Vascular-Thoracic Anaesthesia and Intensive Care to raise the awareness of patient blood management. This report aims to summarize recommendations for all perioperative blood-conserving strategies in cardiac surgery