A particle swarm optimization algorithm for optimal car-call allocation in elevator group control systems

High-rise buildings require the installation of complex elevator group control systems (EGCS). In vertical transportation, when a passenger makes a hall call by pressing a landing call button installed at the floor and located near the cars of the elevator group, the EGCS must allocate one of the cars of the group to the hall call. We develop a Particle Swarm Optimization (PSO) algorithm to deal with this car-call allocation problem. The PSO algorithm is compared to other soft computing techniques such as genetic algorithm and tabu search approaches that have been proved as efficient algorithms for this problem. The proposed PSO algorithm was tested in high-rise buildings from 10 to 24 floors, and several car configurations from 2 to 6 cars. Results from trials show that the proposed PSO algorithm results in better average journey times and computational times compared to genetic and tabu search approaches

Improved chemotaxis differential evolution optimization algorithm

The social foraging behavior of Escherichia coli has recently received great attention and it has been employed to solve complex search optimization problems.This paper presents a modified bacterial foraging optimization BFO algorithm, ICDEOA (Improved Chemotaxis Differential Evolution Optimization Algorithm), to cope with premature convergence of reproduction operator.In ICDEOA, reproduction operator of BFOA is replaced with probabilistic reposition operator to enhance the intensification and the diversification of the search space.ICDEOA was compared with state-of-the-art DE and non-DE variants on 7 numerical functions of the 2014 Congress on Evolutionary Computation (CEC 2014). Simulation results of CEC 2014 benchmark functions reveal that ICDEOA performs better than that of competitors in terms of the quality of the final solution for high dimensional problems

F-18-Fdg Pet/Ct Findings in Differentiated Papillary Carcinoma of Thyroid and Determination of Metabolic Activity

DergiPark: 379076tmsjAims: In well differentiated thyroid cancers, FDG PET has a relatively low sensitivity. F-18 FDG PET/CT is an imaging method which is used before the treatment and in high risk patient groups with suspected recurrent disease. In this study we aim to determine the character of metabolic activity in differentiated thyroid cancer and in case of metastasis and to evaluate the findings of F-18-FDG PET/CT images in high risk patient group of differentiated thyroid cancer. Methods: The data of 79 patients who underwent imaging for staging or restaging and followed at Trakya Univerısity Faculty of Medicine from 2010 to 2015, were included in this study. Patient reports were analyzed retrospectively. Age, gender, size of thyroid lesion, presence of lymphadenopathy, other organ metastases (lung, liver, brain, bone) were included in the study. Results: The findings of 79 patients (29 male, 50 female) with papillary differentiated thyroid cancer were included in the analyses. The mean age of participants was 51±15 years. 14 patients (18%) were evaluated as normally. Recurırent disease was detected in the thyroid gland of 10 patients (13%) (SUVmax: 6.2±5.1; 2.3-19.3). In 54 patients (68%) lymph node metastasis was detected (SUVmax; 5.8±5.1; 2.1-24.2). 12 patients had liver metastasis (SUVmax: 5.7±3.9; 2.0-11.7), 12 patients had bone metastasis (SUVmax: 6.1±2.9; 2.2-13.9), 8 patients had lung metastasis (SUVmax: 4.3±4.5; 1.0-4.9) and one patient had brain metastasis (SUVmax: 10.2). Conclusion: Papillary differentiated thyroid cancer is associated with a tumor showing low glucose affinity, but it is understood that the tumor changes its behavior and gets metabolically active in the patients within the high risk group and in those with systemic metastasi

Diagnosis of comorbid migraine without aura in patients with idiopathic/genetic epilepsy based on the gray zone approach to the International Classification of Headache Disorders 3 criteria

BackgroundMigraine without aura (MwoA) is a very frequent and remarkable comorbidity in patients with idiopathic/genetic epilepsy (I/GE). Frequently in clinical practice, diagnosis of MwoA may be challenging despite the guidance of current diagnostic criteria of the International Classification of Headache Disorders 3 (ICHD-3). In this study, we aimed to disclose the diagnostic gaps in the diagnosis of comorbid MwoA, using a zone concept, in patients with I/GEs with headaches who were diagnosed by an experienced headache expert.MethodsIn this multicenter study including 809 consecutive patients with a diagnosis of I/GE with or without headache, 163 patients who were diagnosed by an experienced headache expert as having a comorbid MwoA were reevaluated. Eligible patients were divided into three subgroups, namely, full diagnosis, zone I, and zone II according to their status of fulfilling the ICHD-3 criteria. A Classification and Regression Tree (CART) analysis was performed to bring out the meaningful predictors when evaluating patients with I/GEs for MwoA comorbidity, using the variables that were significant in the univariate analysis.ResultsLonger headache duration (<4 h) followed by throbbing pain, higher visual analog scale (VAS) scores, increase of pain by physical activity, nausea/vomiting, and photophobia and/or phonophobia are the main distinguishing clinical characteristics of comorbid MwoA in patients with I/GE, for being classified in the full diagnosis group. Despite being not a part of the main ICHD-3 criteria, the presence of associated symptoms mainly osmophobia and also vertigo/dizziness had the distinguishing capability of being classified into zone subgroups. The most common epilepsy syndromes fulfilling full diagnosis criteria (n = 62) in the CART analysis were 48.39% Juvenile myoclonic epilepsy followed by 25.81% epilepsy with generalized tonic-clonic seizures alone.ConclusionLonger headache duration, throbbing pain, increase of pain by physical activity, photophobia and/or phonophobia, presence of vertigo/dizziness, osmophobia, and higher VAS scores are the main supportive associated factors when applying the ICHD-3 criteria for the comorbid MwoA diagnosis in patients with I/GEs. Evaluating these characteristics could be helpful to close the diagnostic gaps in everyday clinical practice and fasten the diagnostic process of comorbid MwoA in patients with I/GEs

Impact of brain-based learning to academic success and attitude in geography teaching

Bu araştırmada Coğrafya dersinde beyin temelli öğrenmenin ve beyin temelli öğrenme yaklaşımına uygun ortam tasarımının ortaöğretim 11. Sınıf öğrencilerinin akademik başarı ve derse ilişkin tutumlarına etkisini ölçmek amaçlanmıştır. Ortam tasarımı yapılırken görsel-işitsel materyallerden, videolardan ve sunumlardan büyük ölçüde yararlanılmıştır. Araştırmada son test kontrol gruplu desen kullanılmıştır. Çalışma 2014-2015 eğitim-öğretim yılında Hakkari İli Yüksekova İlçesi Yüksekova Anadolu İmam Hatip Lisesi'nde 11. Sınıflarda öğrenim gören 80 öğrenci üzerinde gerçekleştirilmiştir. Araştırmanın deney grubunu 11-A şubesindeki 40 öğrenci oluştururken, kontrol grubunu 11-B şubesindeki 40 öğrenci oluşturmuştur. Araştırmada beyin temelli öğrenme yaklaşımına uygun ortam tasarımının öğrencilerin akademik başarı ve derse yönelik tutumlarına etkisi incelenmektedir. Beyin temelli öğrenme yaklaşımının Coğrafya dersinde kullanılmasıyla öğrenciler üzerindeki etkilerini incelemek amacıyla yapılan bu çalışmada geliştirilen 'Coğrafya Tutum ve Algı Anketi' ve 'Başarı Testi' son test olarak hem deney hem de kontrol grubuna uygulanmıştır. Deney grubunda beyin temelli öğrenme yaklaşımına uygun sınıf ortamı oluşturulmuş ve beyin temelli öğrenme yaklaşımına uygun öğretim yöntemi kullanılmıştır. Kontrol grubundaki öğrencilerle ise sınıf ortamında ve geleneksel yöntemle ders işlenmiştir. Araştırmada elde edilen veriler SPSS 22.0 programında analiz edilmiştir. Araştırmada elde edilen verilere göre deney grubu ve kontrol grubu arasında önemli ölçüde farklılıklar gözlemlenmiştir. Çalışma sonucunda beyin temelli öğrenme yaklaşımına uygun ortam tasarımının ortaöğretim 11. sınıf öğrencilerinin derse yönelik tutumlarını ve akademik başarılarını olumlu yönde etkilediği sonucuna ulaşılmıştır. Bu bulgular ışığında eğitim-öğretimin geliştirilmesi ve ileride yapılacak çalışmalara yönelik önerilerde bulunulmuştur.In this research, brain-based learning and brain-based learning approach applied to the design of class environment in Geography are inteded to measure the academic achievement of 11th grade of secondary school students. While making a design of class environment, the audio-visual materials, videos and presentations are used in a large extent. In research, pattern with the last test control group is used. The study is carried out on 80 students studying 11th grade in the academic year 2014-2015 at Yuksekova Anatolian Imam Hatip High School. However the group of experiments and research consists of 40 students from 11-A the group of control consists of 40 students from 11-B. In the research, brain-based learning method applied to the design of class enviroment in the research of students ' academic achievement and attitude towards their class are examined. "Survey on The Attitudes and Perception of Geography" and "The Achievement Test" which are designed for this study with the aim of examining the effects of using the brain-based learning method in Geography have been applied to both control and experiment groups. In the experiment group ,the suitable class environment is created for the the research of brain-based learning approach and the learning method for brain-based learning approach is used. In the control group, the subjects are taught with traditional methods. The data obtained in the research was analysed with the program SPSS 22.0. According to the data obtained in the research ,significant differences between the experiment group and the control group have been observed. As a result of brain-based learning approach suited to the design of class environment on the 11th grade of secondary school, it has been achieved that this approach affects their academic achievement and their attitude towards the class positively. With regard of these findings, some recommendations have been put forward for the development of education and studies that will be conducted in the future

oguz_altun_doktora_tezi.pdf

Phd Thesis of Oğuz Altu

SKETRACK: Stroke-Based Recognition of Online Hand-Drawn Sketches of Arrow-Connected Diagrams and Digital Logic Circuit Diagrams

Digitalization of handwritten documents has created a greater need for accurate online recognition of hand-drawn sketches. However, the online recognition of hand-drawn diagrams is an enduring challenge in human-computer interaction due to the complexity in extracting and recognizing the visual objects reliably from a continuous stroke stream. This paper focuses on the design and development of a new, efficient stroke-based online hand-drawn sketch recognition scheme named SKETRACK for hand-drawn arrow diagrams and digital logic circuit diagrams. The fundamental parts of this model are text separation, symbol segmentation, feature extraction, classification, and structural analysis. The proposed scheme utilizes the concepts of normalization and segmentation to isolate the text from the sketches. Then, the features are extracted to model different structural variations of the strokes that are categorized into the arrows/lines and the symbols for effective processing. The strokes are clustered using the spectral clustering algorithm based on p-distance and Euclidean distance to compute the similarity between the features and minimize the feature dimensionality by grouping similar features. Then, the symbol recognition is performed using modified support vector machine (MSVM) classifier in which a hybrid kernel function with a lion optimized tuning parameter of SVM is utilized. Structural analysis is performed with lion-based task optimization for recognizing the symbol candidates to form the final diagram representations. This proposed recognition model is suitable for simpler structures such as flowcharts, finite automata, and the logic circuit diagrams. Through the experiments, the performance of the proposed SKETRACK scheme is evaluated on three domains of databases and the results are compared with the state-of-the-art methods to validate its superior efficiency