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Workshops on Image Processing Theory, Tools and Applications, IPTA

作者： Nuh Hatipoglu Gokhan Bilgin Programming Department Trakya University Computer Technology Edirne Turkey Computer Engineering Department Yildiz Technical University Istanbul Turkey

In this work, classification of cellular structures in the high resolutional histopathological images and the discrimination of cellular and non-cellular structures have been investigated. The cell classification is a very exhaustive and time-consuming process for pathologists in medicine. The development of digital imaging in histopathology has enabled the generation of reasonable and effective solutions to this problem. Morever, the classification of digital data provides easier analysis of cell structures in histopathological data. Convolutional neural network (CNN), constituting the main theme of this study, has been proposed with different spatial window sizes in RGB color spaces. Hence, to improve the accuracies of classification results obtained by supervised learning methods, spatial information must also be considered. So, spatial dependencies of cell and non-cell pixels can be evaluated within different pixel neighborhoods in this study. In the experiments, the CNN performs superior than other pixel classification methods including SVM and k-Nearest Neighbour (k-NN). At the end of this paper, several possible directions for future research are also proposed.

关键词： Convolution Neural networks Training Support vector machines Cancer Accuracy Biomedical imaging

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DSOS and SDSOS optimization: LP and SOCP-based alternatives to sum of squares optimization

DSOS and SDSOS optimization: LP and SOCP-based alternatives ...

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Annual Conference on Information Sciences and Systems (CISS)

作者： Amir Ali Ahmadi Anirudha Majumdar Mathematical Programming Group IBM Watson Research Center Department of Electrical Engineering and Computer Science MIT

Sum of squares (SOS) optimization has been a powerful and influential addition to the theory of optimization in the past decade. Its reliance on relatively large-scale semidefinite programming, however, has seriously challenged its ability to scale in many practical applications. In this paper, we introduce DSOS and SDSOS optimization as more tractable alternatives to sum of squares optimization that rely instead on linear programming and second order cone programming. These are optimization problems over certain subsets of sum of squares polynomials and positive semidefinite matrices and can be of potential interest in general applications of semidefinite programming where scalability is a limitation.

关键词： Optimization Robustness Collision avoidance Pricing Geometry

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Analysis of Cardiotocogram Data for Fetal Distress Determination by Decision Tree Based Adaptive Boosting Approach

Analysis of Cardiotocogram Data for Fetal Distress Determina...

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The 3rd International Conference on Signal and Image Processing(CSIP 2014) & The 6th International Conference on Computational Intelligence and Software engineering(CiSE 2014)

作者： Esra Mahsereci Karabulut Turgay Ibrikci Computer Programming Department Gaziantep UniversityGaziantep Turkey Department of Electrical and Electronics Engineering Cukurova UniversityAdana Turkey

Cardiotocography is one of the most widely used technique for recording changes in fetal heart rate(FHR) and uterine contractions. Assessing cardiotocography is crucial in that it leads to identifying fetuses which suffer from lack of oxygen, i.e. hypoxia. This situation is defined as fetal distress and requires fetal intervention in order to prevent fetus death or other neurological disease caused by hypoxia. In this study a computer-based approach for analyzing cardiotocogram including diagnostic features for discriminating a pathologic fetus. In order to achieve this aim adaptive boosting ensemble of decision trees and various other machine learning algorithms are employed.

关键词： Cardiotocogram,Fetal Distress,Adaptive Boosting,Decision Tree

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Dynamic Calculation and Characterization of Threshold Value in Optical Character Recognition

Dynamic Calculation and Characterization of Threshold Value ...

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International Conference on challenges in IT, engineering and Technology (ICCIET’2014, Phuket)

作者： Ay?e Eldem Fatih Ba??ift?i Department of Computer Technology and Computer Programming Technical Science Vocational High School Karamano?lu Mehmetbey University Department of Computer Engineering Faculty of Technology Selcuk University

Optical character recognition(OCR) can be used in some management mechanisms of state and business world to organize documents scanned or captured by camera. Therefore, OCR is one of the subjects rapidly evolving in the recent times. This study investigates the procedure steps until character recognition. That's because, the more correctly preprocessings are applied;the better results can be obtained in character recognition. In this study, the algorithms providing the best results are determined by following the procedure stages of gray scale transformation, noise removal and image thresholding. Binarization plays an important role in character recognition. For this reason, algorithms dynamically determine thresholds are preferred for character recognition in this study. Accordingly, Otsu thresholding method was determined to give the best results in terms of both picture quality and speed. Therefore, this method was used for character recognition. Primarily, lines were determined for character separation and then letters were individually obtained.

关键词： Image Processing OCR Thresholding Binarization Pattern Recognition

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Encryption Time Comparison of AES on FPGA and computer

Encryption Time Comparison of AES on FPGA and Computer

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3rd International Conference on Computational Science, engineering and Information Technology, CCSEIT 2013

作者： Akman, Yasin Yerlikaya, Tarik Computer Programming Department Selcuk University Konya Turkey Computer Engineering Department Trakya University Edirne Turkey

ISBN: (纸本)9783319009506

Advanced Encryption Standard (AES), which is approved and published by Federal Information Processing Standard (FIPS), is a cryptographic algorithm that can be used to protect electronic data. The AES algorithm can be programmed in software or hardware. This paper presents encryption time comparison of the AES algorithm on FPGA and computer. In the study, Verilog HDL and C programming language is used on the FPGA and computer, respectively. The AES algorithm with 128-bit input and key length 128-bit (AES-128) was simulated on Xilinx ISE Design Suite 13.3. It was observed that, the AES algorithm runs on the FPGA faster than on a computer. We measured the time of encryption on FPGA and computer. Encryption time is 390ns of AES on FPGA and 11 μs of AES on a computer.

关键词： Field programmable gate arrays (FPGA)

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A multiobjective multi-item inventory control problem in fuzzy-rough environment using soft computing techniques

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Advances in Decision Sciences 2014年 2014卷

作者： Jana, Dipak Kumar Maity, K. Maiti, M. Roy, T.K. Department of Engineering Science Haldia Institute of Technology Haldia West Bengal 721657 India Department of Mathematics Mugberia Gangadhar Mahavidyalaya Mugberia Purba Medinipur West Bengal 721425 India Department of Applied Mathematics with Oceanology and Computer Programming Vidyasagar University Medinipur West Bengal 721 102 India Department of Mathematics Bengal Engineering and Science University Shibpur Howrah West Bengal 711103 India

The optimal production and advertising policies for an inventory control system of multi-item multiobjective problem under a single management are formulated as an optimal control problem with resource constraints under inflation and discounting in fuzzy rough (Fu-Ro) environment. The objectives and constraints in Fu-Ro are made deterministic using fuzzy rough expected values method (EVM). Here, the production and advertisement rates are unknown and considered as control (decision) variables. The production, advertisement, and demand rates are functions of time t. Maximization of the total proceed from perfect and imperfect units and minimization of the total cost consisting of production, holding, and advertisement costs are formulated as optimal control problems and solved directly using multiobjective genetic algorithm (MOGA). In another method for solution, membership functions of the objectives are derived and the multi-objective problems are transformed to a single objective by the convex combination of the membership functions and then the problem is solved by generalized reduced gradient (GRG) method. Finally, numerical experiment and graphical representation are provided to illustrate the system. © 2014 Dipak Kumar Jana et al.

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Optimization of industrial processes in reactors

Optimization of industrial processes in reactors

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2nd International Conference on Key engineering Materials and computer Science, KEMCS 2013

作者： Berdiyeva, Meruyert Ospanova, Aiman Othman, Mohamed Department of Computer engineering and Software programming South Kazakhstan State University Tauke khan avenue 5 Shymkent 160012 Kazakhstan Dept of Communication Technology and Network Universiti Putra Malaysia 43400 UPM Serdang Selangor D.E Malaysia

ISBN: (纸本)9783037857274

In the conditions of industrial production many processes of polymerisation are nonstationary. By processes optimization with the regard for such features as basic data it is necessary to use adaptive algorithms of identification, allowing mathematical model of process continuously to be adapted for changing conditions of operation. Use of such algorithms for process optimization demands periodic recalculation of optimum technological modes of process. Polymer reaction engineering is a discipline that deals with various problems concerning the fundamental nature of chemical and physical phenomena in polymerization processes. Mathematical modeling is a powerful tool for the development of process understanding and advanced reactor technology in the polymer industry. © (2013) Trans Tech Publications, Switzerland.

关键词： Optimization

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Comparision of multi-carrier techniques in seven-level asymmetric cascade multilevel inverter

Comparision of multi-carrier techniques in seven-level asymm...

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2013 4th International Conference on Power engineering, Energy and Electrical Drives, POWERENG 2013

作者： Colak, Ilhami Kabalci, Ersan Keven, Gokhan Faculty of Technology Department of Electric and Electronic Engineering Gazi University Ankara Turkey Faculty of Engineering and Architecture Dep. of Electrical and Electronic Eng. Nevsehir University Nevsehir Turkey Vocational College of Haci Bektaş Veli Dep. of Computer Programming Nevsehir University Nevsehir Turkey

ISBN: (纸本)9781467363921

The multilevel inverters (MLIs) are classified into three topologies such as Diode Clamped, Flying Capacitor and Cascade Multilevel Inverter (CMLI). CMLI topologies include two kind of structure that is named symmetric and asymmetric topologies. Asymmetric Cascade MLI (ACMLI) topologies consist of unequal DC sources. Many modulation techniques have been used in ACMLI topology such as Multi-Carrier PWM (MC-PWM), Space Vector PWM and Selective Harmonic PWM. The MC-PWM technique is achieved by four different types. In this study, MC-PWM techniques which are named Phase Disposition PWM, Phase Opposition Disposition PWM, Alternate Phase Opposition Disposition PWM and Phase Shifted PWM have been compared. It is uncovered that Phase Opposition Disposition PWM technique is more convenient in terms of Total Harmonic Distortion of output voltage and current signals and in terms of the quality of power factor in ACMLI which is performed in this study. © 2013 IEEE.

关键词： Pulse width modulation

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Optimization of Industrial Processes in Reactors

Optimization of Industrial Processes in Reactors

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2013 2nd International Conference on Key engineering Materials and computer Science(KEMCS 2013)

作者： Meruyert Berdiyeva Aiman Ospanova Мohamed Othman Department of Computer engineering and Software programming South Kazakhstan State University Dept of Communication Technology and Network Universiti Putra Malaysia

关键词： industrial processes polymerisattion chemical reactors technological parameters-temperature and conversion the optimization problem

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Easy and improved algorithms to joint determination of the replenishment lot size and number of shipments for an EPQ model with rework

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Mathematical and Computational Applications 2013年第2期18卷 132-138页

作者： Cárdenas-Barrón, Leopoldo Eduardo Sarkar, Biswajit Trevino-Garza, Gerardo Department of Industrial and Systems Engineering School of Engineering Tecnológico de Monterrey E. Garza Sada 2501 Sur C.P. 64849 Monterrey Mexico Department of Applied Mathematics with Oceanology and Computer Programming Vidyasagar University West Midnapore 721102 West Bengal India

Recently, in Mathematical and Computational Applications Journal Chiu et al. [1] and Chen and Chiu [2] propose an inventory model based on EPQ with rework to determine the replenishment lot size and the number of shipments for a vendor-buyer integrated production-inventory system. They solve the inventory problem by considering both variables as continuous. However, the number of shipments must be considered as discrete variable. In this direction, this paper revisits and solves the inventory problem of [1-2] considering the decision variables according to their nature. Two easy and improved algorithms are proposed which simplify and complement the research works of [1-2].

关键词： Inventory control

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