Selcuk University Journal of Engineering, Science and Technology
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OPTIMIZATION OF NICKEL EXTRACTION FROM LATERITIC ORE IN HYDROCHLORIC ACID SOLUTION WITH HYDROGEN PEROXIDE BY TAGUCHI METHOD
Get PDFTaguchi optimization method was used to determine optimum conditions for the extraction of nickel from lateritic ore in hydrochloric acid solution with hydrogen peroxide. Leaching time, stirring speed, temperature, hydrochloric acid concentration and hydrogen peroxide concentration were chosen as parameters. The optimum conditions for dissolution were found as leaching time of 240 min, a temperature of 70°C, hydrochloric acid concentration of 3 M, hydrogen peroxide concentration of 0.1 M and without stirring. The experimental results under optimum leaching conditions, showed that the extraction of nickel from lateritic ore was 90.66%. Analysis of variance (ANOVA) was applied to experimental results. Percentage contributions of each factor for the extraction of nickel were determined
NİKEL MANGANİT ESASLI NTC TERMİSTÖRLERİN ELEKTRİKSEL ÖZELLİKLERİNE 0.15 VE 0.3 MOL CuO KATKISININ ETKİSİ
Get PDFEndüstriyel uygulamalar için sıcaklık sensörü olarak kullanılan NTC termistörlerin ilgi çeken ana kompozisyonlarından biri nikel manganit’tir. Bu çalışmada nikel manganit esaslı NTC termistörlere bakır oksit katkısının elektriksel ve mikroyapı özelliklerine etkisi araştırılmıştır. Bu amaçla Ni0.5Co0.5CuxMn2-xO4 (x=0.15 ve 0.3) stokiometrisine uygun numuneler klasik seramik üretim yöntemi kullanılarak üretilmiştir. Numuneler 1300 oC'de 5 saat sinterlenmiştir. Numunelerin relatif bulk yoğunluklarının yaklaşık % 97 olduğu belirlenmiştir. Ni0.5Co0.5Cu0.15Mn1.85O4 numunesi için elektriksel özdirenç ve malzeme sabiti sırasıyla 286 Ω.cm ve 3355 K olarak bulunmuştur. CuO katkı miktarının artırılmasıyla ise elektriksel özdirenç ve malzeme sabiti değerlerinin azaldığı saptanmıştır. Ni0.5Co0.5Cu0.3Mn1.7O4 kompozisyonuna ait 1300 oC’de sinterlenen numunenin elektriksel özdirenç (ρ) ve malzeme sabiti (B) değerlerinin 61 Ω.cm ve 3124 K olduğu bulunmuştur.
ANALYSIS OF THE DIFFERENT LAND REALLOCATION RESULTS IN LAND CONSOLIDATION PROJECT: A CASE STUDY IN ÜÇHÜYÜKLER NEIGHBORHOOD, ÇUMRA-KONYA-TURKEY
Get PDFABSTRACT: The most important, complex and time-consuming process of land consolidation is known as the reallocation phase. Reallocation processes in land consolidation projects in Turkey is made according to farmer preferences (interview). Besides, the optimization studies based on the mathematical models for the reallocation process in many scientific researches in addition to reallocation model based on interview have been conducted. But, because there isn’t a precise mathematical model for the reallocation process, many different solutions have been suggested. In this study, importance of reallocation in land consolidation and interview-based and block priority-based reallocation models has been described. Also, the results of the block priority-based reallocation model that makes land reallocation by being take into account respectively the largest parcels belong to the farmers have been obtained. The results which are obtained from the block priority-based reallocation model has been compared with the results which are obtained from the interview-based reallocation model. In the consolidation area of the Üçhüyükler neighborhood Çumra-Konya-Turkey, previously the number of cadastral parcels were 265, the number of interview-based reallocation method parcels were 243. The number of this parcels according to the block priority-based reallocation model that is applied in this study have decreased to 237. Average parcel size was 3.30 hectares before consolidation in this region. Average parcel size has increased to 3.60 hectares according to the interview-based reallocation model and to 3.36 hectares according to the block priority-based reallocation model
COMPARING VARIOUS MACHINE LEARNING METHODS FOR PREDICTION OF PATIENT REVISIT INTENTION: A CASE STUDY
Get PDFMany techniques have been proposed for analysis of costumer intention, from surveys to statistical models. During the last few years, different machine learning approaches have successfully been applied to costumer-centric decision-making problems. In this study, we conduct a comparative assessment of the performance of ten widely used machine learning methods, (i.e., logistic regression, multilayer perceptron, support vector machines, IBk linear NN search, KStar, locally weighted learning, decisionstump, C4.5., randomtree and reduced error pruning tree) for the aim of suggesting appropriate machine learning techniques in the context of patient revisit intention prediction problem. Experimental results reveal that the C4.5 decision tree demonstrates to be the best predictive model since it has the highest overall average accuracy and a very low percentage error on both Type I and Type II errors, closely followed by the locally weighted learning and decisionstump, whereas the logistic regression and the IBk linear NN search algorithms appear to be the worst in terms of average accuracy and type II error. Besides the randomtree and the IBk linear NN search algorithms appear to be the worst in terms of type I error
KENTSEL DÖNÜŞÜMDE RİSKLİ ALAN ÖNCELİKLERİNİN BELİRLENMESİ İÇİN BULANIK MANTIK TABANLI SİSTEM TASARIMI
Get PDFKentlerin daha güvenli ve yaşanabilir hale getirilmesi işlemi yani kentsel dönüşüm uygulaması afetlerden sonra değil afetler ortaya çıkmadan önce sağlıklı ve analitik bir şekilde uygulanmalıdır. Bunun için ilk koşul ise olası bir afet durumuna karşı risk içeren alanları ve bu alanların önceliklerini doğru bir şekilde belirlemektir. Bu çalışmada riskli alan belirleme işlemine bulanık mantık ile yaklaşılmış ve farklı kurumların farklı önceliklere göre belirlemekte olduğu riskli alanlar için standart oluşturabilecek bir model önerisi getirilmiştir. Bulanık mantık tabanlı geliştirilen modelde yapı ortalama performans puanı, yerleşime uygunluk durumu ve nüfus yoğunluğu bilgileri sisteme girdi verileri olarak ele alınmıştır. Bu girdi verileri değer aralıklarına göre derecelendirilerek bulanık bir küme oluşturulmuş ve kural tabanı çalıştırılarak risk önceliği çıktısı elde edilmiştir. C# programlama dili kullanılarak kullanıcının bulanık mantık tabanlı model tasarlamasında kolaylık sağlayacak bir arayüz geliştirilmiştir
REMOVAL OF REACTIVE BLUE 19 FROM AQUEOUS SOLUTION BY PEANUT SHELL: OPTIMIZATION BY RESPONSE SURFACE METHODOLOGY
Get PDFIn the present study, it was aimed to optimize the removal of reactive blue 19 dye by using peanut shells as a low-cost adsorbent. The influence of various process parameters namely pH (2,3 and 4), temperature (25, 35 and 45°C) and adsorbent amount (0.5, 1 and 1.5 g/100 mL) were studied using Box-Behnken design. According to the ANOVA results, the quadratic model with coefficient of determination (R2) value of 0.9984 and model F value of 487.80 was showed good fit of the experimental data to. Experimental conditions for optimum dye removal of 93.45% were determined as pH 2, 35°C and 1.5 g/100 mL adsorbent amount. Langmuir fitted better to the obtained equilibrium data for removal of reactive blue 19 than Freundlich and Temkin models. In addition, the adsorption kinetics was also studied for the reactive blue 19 removal onto peanut shell. The kinetic studies showed that the removal of reactive blue 19 fitted to pseudo-second-order model
ACCURACY INVESTIGATION OF DEM BASED ON GÖKTÜRK-2 STEREO IMAGES
Get PDFIn December 18, 2012, Gokturk-2 satellite has been launched to the space from the Jiuguan station in China. The satellite has the pushbroom camera, which could enable to take panchromatic imaging with 2.5 m resolution and multispectral imaging with 5 m resolution at the height of 685 km. Satisfying the requests of Turkish Armed Forces, Turkish government agencies and institutes for satellite images has been aimed by the data provided by Gokturk-2 satellite. High Resolution Satellite Images (HRSI) have been extensively used in such fields as mapping, intelligence service, exploration, monitoring of environment, agriculture and change tracking; mapping is one of the most widespread application areas of HRSI.In order to use satellite images like a map, geometric deformations should be removed; in other words, the deformations are required to be orthorectified. The model, Ground Control Points (GCP) and Digital Elevation Models are needed for an accurate orthorectification application.In this study, block adjustment was made by using 20*60 km sized stereo image of Gokturk-2 satellite, GCPs and Check Points (CP) in different numbers. Average errors in X, Y, Z dimensions were analyzed at the end of the adjustment. Furthermore, the accuracy of Digital Elevation Model was controlled by the heights of primary bench marks
THE INVESTIGATION OF USEABILITY OF NON-METRIC DIGITAL CAMERAS MOUNTED ON THE KITES PLATFORMS AT THE ARCHAEOLOGICAL DOCUMENTATION WORK
Get PDFABSTRACT: In recent times, the studies on the preservation of cultural heritage has become one of the priority issues.Residential areas established in different places since Human beings has passed to public life. Some of these areas, now in use as a residential area, some due to the changing conditions of life and nature has lost its residential property. In both cases, the residential areas have become either excessive urbanization or victims of indifference. Today, many historical remains of the city under the ground. Of the present historical sites, making documentation in its current form, recording by excavation work, transferring to future generations by preserving the historical value is very important. In this study, obtaining of 3D model of theater and precision study was carried out on obtained model using kite photos of theater ,at Uzuncaburc Diocaesarea of the ancient theater in the Province of Mersin Silifke District. As a result, using photogrammetric techniques with unmanned aircraft, it has been shown to provide adequate positioning accuracy archaeological documentation. In this way, the production base of the excavation, before and after excavations modeling, monitoring of the development period of the excavation, working area detection and it carries the base may be qualifications of the restoration project
STATISTICALLY GUIDED ARTIFICIAL BEE COLONY ALGORITHM
Get PDFArtificial Bee Colony algorithm is one of the naturally inspired meta heuristic method. As usual, in a meta heuristic method, intuitively appealing way to have better results is extending calculation time or increasing the fitness evaluation count. But the desired way is acquiring better results with less computation. So in this work a modified Artificial Bee Colony algorithm which can find better results with same computation is developed by benefiting statistical observations
A MONOGENIC LOCAL GABOR BINARY PATTERN FOR FACIAL EXPRESSION RECOGNITION
Get PDFThe paper implements a monogenic-Local Binary Pattern (mono-LBP) algorithm on a local Gabor Pattern (LGP). The proposed algorithm is applied at different scales of the Gabor kernel with different normalization schemes. Results from the two best performing normalization algorithms with mono-LBP are fused at score level to obtain an improved performance. Moreover, performance comparison is done with other variants of LGP algorithm and also the effects of various normalization techniques are investigated. Experimental results on JAFFE facial expression database show that the new technique has the best average performance compared to its counterparts using distance metrics as a classifier.