50 research outputs found
The Effect of Language Learning Strategies on Learning Vocabulary in Teaching Turkish as a Foreign Language
Bu çalışmanın amacı yabancı dil olarak Türkçe öğrenen öğrencilerin kullanmış oldukları dil öğrenme stratejilerini ve bu stratejilerin sözcük öğrenimine etkisini belirlemektir. Deneysel desenlerden “öntest-sontest kontrol gruplu model”e uygun olarak yapılan bu çalışmaya İstanbul Üniversitesi Dil Merkezinde yabancı dil olarak Türkçe öğrenen 20 deney ve 20 kontrol grubu olmak üzere toplam 40 öğrenci katılmıştır. Deney grubunda strateji kullanımı ve strateji öğretimine dönük etkinliklere yer verilirken kontrol grubunda geleneksel öğretim modeli uygulanmıştır. Araştırmanın verileri Oxford (1990) tarafından geliştirilen ve Demirel (2009) tarafından Türkçeye uyarlanan “Dil Öğrenme Stratejileri Envanteri” ve araştırmacı tarafından geliştirilen “Sözcük Bilgisi Başarı Testi” ile toplanıp elde edilen veriler SPSS programında değerlendirilmiştir. Araştırma sonucunda, öğrencilerin dil öğrenme stratejilerini orta düzeyde kullandıkları, Türkçe öğrenirken en fazla üst bilişsel, en az duyuşsal stratejilere başvurdukları ve öğrencilerin strateji kullanma düzeyleri ile sözcük bilgisi başarıları arasında anlamlı bir ilişki olduğu saptanmıştır
A Hybrid Fuzzy Decision Making Approach for Provider Selection in Third-party Logistics
Outsourcing some of logistics activities is a useful strategy for companies in recent years. This makes possible firms to concentrate their main issues and processes, presents facility to improve logistics performance, to reduce costs and to improve quality. Therefore provider selection and evaluation in third-party logistics becomes an important activity for companies. Making a strategic decision like this is significantly hard and crucial. In this study we proposed a Fuzzy MCDM (Multi Criteria Decision Making) approach to effectively select themost apropriate provider. First we identify the provider selection criteria and build the hierarchical structure of decision model. After building the hierarchical structure we determined the selection criteria weights by using Fuzzy AHP (Analytical Hierarchy Process) technique. Then we applied Fuzzy VIKOR (Vise Kriterijumska Optimizacija I Kompromisno Resenje) to obtain final rankings for providers. And finally an illustrative example is also given to demonstrate the effectiveness of the proposed model
The performance analyses of an induction motor due to specified fault conditions
The induction motors are being widely used in the industry. With the developments on the computational electromagnetic methods and with the aid of powerful computers, the software tools provided great support to the motor design engineers. At this paper, the design steps of a squirrel cage motor are explained and the performance degradation of the motor due to static eccentricity and broken rotor bars faults is analyzed. ANSYS® Maxwell-2D® and RMxprt® software tools are used for analyses. © 2013 The Chamber of Turkish Electrical Engineers-Bursa
Parametric analysis and optimisation of a 8-18 GHz quad-ridged horn antenna
In this paper, parametric analysis and optimization of a 8-18 GHz ultra wide band (UWB) quad-ridged horn (QRH) antenna is presented. As an initial configuration a horn antenna is designed with boxed dimensions of 5.4 × 5.4 × 8cm as defined in [1]. The gain of the antenna varies between 10dBi-13 dBi over the entire bandwidth. The co-polarization and cross polarization graphics are presented. It's expected that, the variation of physical dimensions affects the antenna parameters. To analyze these effects the parametric analysis simulations are performed with ANSYS HFSS software
Optimization of a reflector antenna fed by a double ridged horn
IEEE Antennas and Propagation Society; The Institute of Electrical and Electronics EngineersIn this paper, the design and simulation of a parabolic reflector antenna fed by a double-ridged horn (DRH) is presented. The horn and the reflector antenna are simulated at 8 - 12 GHz frequency band which is suitable for radar and communication systems. The designing procedure is explained in steps. A DRH antenna is designed to achieve 8 - 15 dBi gain at the operating frequency band. Following the optimization of the horn, the radius of curvature of the reflector antenna is parameterized. The parabolic reflector is designed in order to increase the gain into 30 - 35 dBi and the results are presented. Simulations are performed with ANSYS HFSS software. © 2015 IEEE
Evaluation of kinetic parameters for biological CNP removal from a municipal wastewater through batch tests
Biological carbon, nitrogen, and phosphorus removal from wastewater has become an established process in wastewater treatment practice. Despite the broad knowledge and practical experience that has been accumulated in previous years, there are still certain aspects of nitrification-denitrification-biological enhanced phosphorus removal (NDBPR) which require further research. In this study, biological carbon, nitrogen, and phosphorous removal in a municipal wastewater treatment plant (MWWTP) was investigated using batch tests. These tests include: anaerobic phosphorus release, released phosphorus uptake in aerobic, and anoxic conditions, nitrification, denitrification, and endogenous phosphorus release. Two different substrates: acetate and glucose were used in anaerobic P release tests. Average phosphorus release rate was 0.019 mg P/g VSS min for glucose addition and maximal anaerobic P release rate was 1.63 mg P/g VSS min as an average for acetate addition. Following the anaerobic P release test, P uptake tests were conducted for aerobic and anoxic conditions. The average P uptake rates were 0.0031 and 0.0046 mg P/g VSS min, respectively. In nitrification tests, average NO3-N production rate was determined as 0.034 mg N/g VSS min. In denitrification tests with the addition of acetate, average NO3-N consuming rate was 0.026 mg N/g VSS min and with the addition of glucose NO3-N consuming rate was 0.020 mg N/g VSS min. In endogenous P release tests, average P release rate was determined as 0.0025 mg P/g VSS min. Simple batch methods were proposed to determine Y, k(d), mu(max), and K-s, which are important for NDBPR process design. In biological kinetic parameter estimation, according to the Monod model, Y and kd coefficients were found 0.70 mg VSS/mg COD and 0.0022 h(-1), respectively. The specific nitrification rate (q(N)) and the specific denitrification rate (q(D)) were determined 6.87 x 10(-4) mg NO3-N/mgVSS/h and 3.36 x 10(-4) mg NO3-N/mgVSS/h The kinetic parameters determined in this study can be used to improve the design and operation of wastewater treatment plants. (C) 2004 Elsevier Ltd. All rights reserved
LOGISTICS SECTOR IN TURKEY AND LOGISTICS VILLAGES
Globalization in every sense we live in today's condition when logistics is a basic process for all existing organization, it is on important performance values. The country's existing logistics sector is constantly growing. This growth is positively related to the economy of the country. While Turkey is the seventeenth largest economy, our foreign trade is increased. In paralel to this our logistics markets's potential has been one hundred and twenty billion dollars. With this work, it is aimed to show the improvement of Turkey's logistics and to examine of contributions if which are made by the logistics village to this sector. By making swot analysis of the logistics sector's and logistics villages' in Turkey it is aimed to represent the positive effects of the current situation on economy. Results show that the promotion of logistics villages will contribute to both the growth of logistics sector and the economy
TECHNOLOGY COMPETENCY EVALUATION OF SMES IN THE MACHINE SUB-SECTOR BY MULTI CRITERIA DECISION MAKING APPROACHES
Nowadays technology management as the discipline for almost all firms are related in this issue to seek new talent and skill for the firm competency. Main objective of technology management is to enhance competencies for creating or improving products, processes or services in the sector. This study offers an evaluation framework to examine dimensions of technology competency based on the management and technology capabilities for the manufacturing enterprises; process management, product competitiveness, information and communication technologies (ICT), marketing strategies, innovation and entrepreneurship and research & development (R&D). In this study, multi-criteria decision making methods are used to measure performances of manufacturing enterprises from machine sub-sector in Istanbul, Turkey. Fuzzy analytic hierarchy process (FAHP) approach is applied to determine the weights of the criteria. The criteria weights and responses of survey analysis (data) related with enterprises are used for VIKOR and TOPSIS methods to evaluate and rank the firms.</p
