IJET Vol. 5, Issue 1, March 2019

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International Journal of Engineering Technologies (IJET) Dergisi / International Journal of Engineering Technologies (IJET)

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  • Öğe
    International Journal of Engineering Technologies (IJET) Vol. 5, Issue 1, March 2019
    (İstanbul Gelişim Üniversitesi Yayınları / Istanbul Gelisim University Press, 2019) Bayram, Mustafa
    Dear Colleagues, On behalf of the editorial board of International Journal of Engineering Technologies (IJET), I would like to share our happiness to publish the 17th issue of IJET. My special thanks are for members of Editorial Board, Publication Board, Editorial Team, Referees, Authors and other technical staff. Please find the 17th issue of International Journal of Engineering Technologies at http://ijet.gelisim.edu.tr or http://dergipark.gov.tr/ijet. We invite you to review the Table of Contents by visiting our web site and review articles and items of interest. IJET will continue to publish high level scientific research papers in the field of Engineering Technologies as an international peer-reviewed scientific and academic journal of Istanbul Gelisim University. Thanks for your continuing interest in our work, Professor Mustafa BAYRAM Istanbul Gelisim University mbayram@gelisim.edu.tr http://ijet.gelisim.edu.tr http://dergipark.gov.tr/ijet Printed ISSN: 2149-0104 e-ISSN: 2149-5262
  • Öğe
    A Sampling About For Economic Pipe Diameter Calculation
    (İstanbul Gelişim Üniversitesi Yayınları / Istanbul Gelisim University Press, 2019-03-29) Kalyoncu, Enes
    Abstract- Pumps are widely used in our homes, in buildings, in industrial applications, in agriculture, in water supply and many other applications, even though we are not aware of them. When designing a pump system, it is necessary to compare different solutions to choose the most efficient and efficient system. To find the most intelligent solution, some basic facts must be revealed. As a result of the experimental work done, the loss coefficients are calculated with the aid of the determined pressure deductions taking into consideration the flow direction for the flat pipes, valves and fittings (elbows, nipples, cuffs, record, curve, reduction and TE (transitional elements) It was calculated and presented in tables. In this study, a program was developed to determine the optimum diameters of the pipes that allow the water from the plant to be transported at a certain distance. Galvanized pipes were used in the study. The least-lost diameters and the lowest economic costs were calculated for these pipes. Keywords : Centrifugal pump, diameter calculation, pipe losts, economic pipe diameter.
  • Öğe
    Optimization of Process Parameters of the Plate Heat Exchanger
    (İstanbul Gelişim Üniversitesi Yayınları / Istanbul Gelisim University Press, 2019-03-29) Kocabaş, Ceyda; Savaş, Ahmet Fevzi
    Abstract- The aim of this study is to determine the importance of the operational factors affecting the recovery performance in air-to-air heat recovery application where heat exchanger is used. The Taguchi experimental design method has been applied to show the effects of the factors and obtain the optimum process parameter combination. Thermal effectiveness has been determined as a performance characteristic. Experiments have been carried out at varying air flow rate, fresh and exhaust air inlet temperatures. Taguchi's L9(33 ) standard orthogonal array has been chosen as an experimental plan. The significance level of the control factors has been obtained by using analysis of variance (ANOVA). The results show that air flow rate is the most significant factor among the three factors that influences the thermal effectiveness. The results prove that Taguchi method is an easily applicable optimization tool for heat recovery systems. Keywords Air to air heat recovery, plate heat exchanger, effectiveness, Taguchi method
  • Öğe
    Controlling A Robotic Arm Using Handwritten Digit Recognition Software
    (İstanbul Gelişim Üniversitesi Yayınları / Istanbul Gelisim University Press, 2019-03-29) Çetinkaya, Ali; Öztürk, Onur; Okatan, Ali
    Abstract- Repetitive tasks in the manufacturing industry is becoming more and more commonplace. The ability to write down a number set and operate the robot using that number set could increase the productivity in the manufacturing industry. For this purpose, our team came up with a robotic application which uses MNIST data set provided by Tensor flow to employ deep learning to identify handwritten digits. The system is equipped with a robotic arm, where an electromagnet is placed on top of the robotic arm. The movement of the robotic arm is triggered via the recognition of handwritten digits using the MNIST data set. The real time image is captured via an external webcam. This robot was designed as a prototype to reduce repetitive tasks conducted by humans. Keywords MNIST Handwritten Digit Recognition, Deep Learning, Embedded System Robotic Arm Control
  • Öğe
    Modeling the Shear Strength of Reinforced Aerated Concrete Slabs via Support Vector Regression
    (İstanbul Gelişim Üniversitesi Yayınları / Istanbul Gelisim University Press, 2019-03-29) Kurtoğlu, Ahmet Emin; Bakbak, Derya
    Abstract- Autoclaved aerated concrete (AAC) attracts attention as it provides superior material characteristics such as high thermal insulation and environmentally friendly properties. Apart from non-structural applications, AAC is being considered as a structural material thanks to its characteristics such as lighter weight compared to normal concrete, resulting in lower design costs. This study focuses on the feasibility of support vector regression (SVR) in predicting the shear resistance of reinforced AAC slabs. An experimental dataset with 271 data points extracted from eleven sources is used to develop models. Based on random selection, the dataset is divided into two portions, 75% for model development and 25% for testing the validity of the model. Two SVR model types (epsilon and Nu) and four kernel functions (linear, polynomial, sigmoid and radial basis) are used for model development and the results of each model and kernel type is presented in terms of correlation coefficient (R 2 ) and mean squared error (MSE). Results show that epsilon model type with radial basis function yields the best SVR model. Keywords Autoclaved aerated concrete, reinforced concrete slab, shear strength, support vector regression, modelling.
  • Öğe
    Handwritten Character Recognition by using Convolutional Deep Neural Network; Review
    (İstanbul Gelişim Üniversitesi Yayınları / Istanbul Gelisim University Press, 2019-03-29) Koyuncu, Baki; Koyuncu, Hakan
    Abstract - Handwritten character recognition is an important domain of research with implementation in varied fields. Past and recent works in this field focus on diverse languages to utilize the character recognition in automated data-entry applications. Studies in Deep Neural Network recognize the individual characters in the form of images. The reliance of each recognition, which is provided by the neural network as part of the ranking result, is one of the things used to customize the implementation to the request of the client. Convolutional deep neural network model is reviewed to recognize the handwritten characters in this study. This model, initially, learned a useful set of admittance by using local receptive areas and densely connected network layers are employed for the discernment task. Keywords Handwritten Character Recognition, Deep Neural Network (DNN), Deep Convolutional Neural Network (DCNN).