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Publication Index: ScopusPublisher: Univ Osijek, Tech Fac

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Now showing 1 - 10 of 26
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    Citation - WoS: 3
    Citation - Scopus: 7
    Erp System Implementation in Fmcg Sector
    (Univ Osijek, Tech Fac, 2010) Mishra, Alok; Mishra, Deepti; Computer Engineering; Software Engineering
    Today's businesses have become extremely complex. Enterprise Resource Planning (ERP) systems can help enterprises to reduce operating costs, generate more accurate forecasts of demand, accelerate production cycles and enhance customer service. This paper reports challenges, opportunities and outcome of ERP implementation in a top Fast Moving Consumer Goods (FMCG) house in South-East Asia with diversified interests in varied businesses. This study will facilitate the understanding of the transition, constraints and implementation of ERP in this sector and also provide guidelines from lessons learned in this regard to researchers and practising managers.
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    Citation - WoS: 4
    Citation - Scopus: 7
    The Integrated Usage of Lbp and Hog Transformations and Machine Learning Algorithms for Age Range Prediction From Facial Images
    (Univ Osijek, Tech Fac, 2018) Khalifa, Tariq; Sengul, Gokhan
    Age prediction is an active study field that can be used in many computer vision problems due to its importance and effectiveness. In this paper, we present extensive experiments and provide an efficient and accurate approach for age range prediction of people from facial images. First, we apply image resizing to unify all images' size, and Histogram Equalization technique to reduce the illumination effects on all facial images taken from FG-NET and UTD aging databases. Second, Histogram of Oriented Gradient (HOG) and Local Binary Pattern (LBP) are used to extract the features of these images, and then we combined both HOG and LBP features in order to attain better prediction. Finally, Support Vector Machine (SVM) and k-Nearest Neighbour (k-NN) are used for the classification processes. In addition, k-fold, Leave-One-Out (LOO) and Confusion Matrix (CM) are used to evaluate the performance of proposed methods. The extensive and intensified experiments show that combining HOG and LBP features improved the age range predicting performance up to 99.87%.
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    A Model Proposal To Optimize Bandwidth Usage in Multi-Access Wireless Networks
    (Univ Osijek, Tech Fac, 2012) Koyuncu, Murat; Gercek, Mehmet Kazim; Information Systems Engineering
    Distribution of load among multiple access points, and therefore, optimizing the total throughput is one of the problems of wireless local area networks when there is more than one access point available in the network. It is not easy to balance the load when wireless hosts associate with one access point by using only the Received Signal Strength Indicator (RSSI). In this study, a new model which increases total throughput in a wireless local area network is proposed. The proposed model is mainly based on the prediction of the loads of all the available access points checking both their wireless and Ethernet interfaces and the association to the least loaded one. It is a host-based model and does not require any changes on the network infrastructure. The tests performed on the real wireless local area networks prove the applicability of the proposed model.
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    Citation - WoS: 9
    Citation - Scopus: 14
    A Comparative Study of Agile, Component-Based, Aspect-Oriented and Mashup Software Development Methods
    (Univ Osijek, Tech Fac, 2012) Patel, Ahmed; Seyfi, Ali; Taghavi, Mona; Wills, Christopher; Na, Liu; Latih, Rodziah; Misra, Sanjay; Computer Engineering
    This paper compares Agile Methods, Component-Based Software Engineering (CBSE), Aspect-Oriented Software Development (AOSD) and Mashups as the four most advanced software development methods. These different approaches depend almost totally on their application domain but their usability can be equally applied across domains. The purpose of this comparative analysis is to give a succinct and clear review of these four methodologies. Their definitions, characteristics, advantages and disadvantages are considered and a conceptual mind-map is generated that sets out a foundation to assist in the formulation and design of a possible new integrated software development approach. This includes supportive techniques to benefit from the examined methods' potential advantages for cross-fertilization. It is a basis upon which new thinking may be initiated and further research stimulated in the software engineering subject field.
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    Citation - WoS: 7
    Citation - Scopus: 11
    Software Project Scheduling Using the Hyper-Cube Ant Colony Optimization Algorithm
    (Univ Osijek, Tech Fac, 2015) Crawford, Broderick; Soto, Ricardo; Johnson, Franklin; Misra, Sanjay; Paredes, Fernando; Olguin, Eduardo
    This paper introduces a proposal of design of Ant Colony Optimization algorithm paradigm using Hyper-Cube framework to solve the Software Project Scheduling Problem. This NP-hard problem consists in assigning tasks to employees in order to minimize the project duration and its overall cost. This assignment must satisfy the problem constraints and precedence between tasks. The approach presented here employs the Hyper-Cube framework in order to establish an explicitly multidimensional space to control the ant behaviour. This allows us to autonomously handle the exploration of the search space with the aim of reaching encouraging solutions.
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    A Rule Based Prosody Model for Turkish Text-To Synthesis
    (Univ Osijek, Tech Fac, 2013) Uslu, Ibrahim Baran; Ilk, Hakki Gokhan; Yilmaz, Asim Egemen; Department of Electrical & Electronics Engineering
    This paper presents our novel prosody model in a Turkish text-to-speech synthesis (TTS) system. After developing a TTS system driven by parametric features consisting of duration, pitch and energy modifications, we try to figure out some prosody rules in order to increase the naturalness of our synthesizer. Since the inflected verbs in Turkish can be stand-alone sentences with the suffixes they take, we build a perceptual prosody model by defining rules on the stress patterns of verb inflections. Affirmative, negative and interrogative (both positive and negative) forms of many verbs were examined in a systematic way. Not only verbs, but in the same way, some phrases were examined for obtaining a proper prosody. According to the results of listening tests, the defined rules based on duration, pitch and energy modification weights, result in perceptually better speech synthesis, namely about 1,78/5,0 improvement in average in the CMOS (Comparative Mean Opinion Score) test. This improvement shows the success of our novel prosody model.
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    Citation - WoS: 13
    Citation - Scopus: 29
    DEMAND FORECASTING: A COMPARISON BETWEEN THE HOLT-WINTERS, TREND ANALYSIS AND DECOMPOSITION MODELS
    (Univ Osijek, Tech Fac, 2017) Tirkes, Guzin; Guray, Cenk; Celebi, Nes'e
    In food production industry, forecasting the timing of demands is crucial in planning production scheduling to satisfy customer needs on time. In the literature, several statistical models have been used in demand forecasting in Food and Beverage (F&B) industry and the choice of the most suitable forecasting model remains a central concern. In this context, this article aims to compare the performances between Trend Analysis, Decomposition and Holt-Winters (HW) models for the prediction of a time series formed by a group of jam and sherbet product demands. Data comprised the series of monthly sales from January 2013 to December 2014 obtained from a private company. As performance measures, metric analysis of the Mean Absolute Percentage Error (MAPE) is used. In this study, the HW and Decomposition models obtained better results regarding the performance metrics.
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    Citation - WoS: 21
    Citation - Scopus: 22
    A Discussion on the Role of People in Global Software Development
    (Univ Osijek, Tech Fac, 2013) Misra, Sanjay; Colomo-Palacios, Ricardo; Pusatli, Tolga; Soto-Acosta, Pedro; Computer Engineering
    Literature is producing a considerable amount of papers which focus on the risks, challenges and solutions of global software development (GSD). However, the influence of human factors on the success of GSD projects requires further study. The aim of our paper is twofold. First, to identify the challenges related to the human factors in GSD and, second, to propose the solution(s), which could help in solving or reducing the overall impact of these challenges. The main conclusions of this research can be valuable to organizations that are willing to achieve the quality objectives regarding GSD projects.
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    Citation - WoS: 44
    Citation - Scopus: 70
    Selection of Academic Staff Using the Fuzzy Analytic Hierarchy Process (fahp): a Pilot Study
    (Univ Osijek, Tech Fac, 2012) Rouyendegh, Babak Daneshvar; Erkan, Turan Erman; Industrial Engineering; Computer Engineering
    Evaluating candidates' suitability for a selection of academic staff is an important tool for Human Resources Management (HRM) to select the most suitable candidates for required posts. There are various methods regarding the selection of staff in the field. As there are increasing improvements in the field of education, universities around the world demand high quality and professional academic staffs. The present paper examines a fuzzy Analytic Hierarchy Process (FAHP) for selecting the most suitable academic staff, where five candidates under ten different sub-criteria are evaluated and prioritised. The FAHP method adopted here uses Triangular Fuzzy Numbers (TFN). The inability of AHP to deal with the impression and subjectiveness in the pair-wise comparison process has been improved in the FAHP. Instead of a crisp value, the FAHP generates a range of values to incorporate the decision-makers uncertainty. Also, a real case study is presented.
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    Citation - WoS: 5
    Citation - Scopus: 5
    Managing Requirements in Market-Driven Software Project: Agile Methods View
    (Univ Osijek, Tech Fac, 2010) Mishra, Deepti; Mishra, Alok; Computer Engineering; Software Engineering
    Time-to-market and insufficient initial requirements are two significant challenges that make managing requirements for market-driven software projects different from custom-made software projects. These challenges can be resolved by using agile software development methodologies for market-driven software development as agile methods put emphasis on a dynamic approach for requirement engineering which works closely with an iterative release cycle. In this study, dynamic requirement engineering approach of Agile methods was used for the successful implementation of market-driven complex software project.