EA-MDA MODEL TO RESOLVE IS CHARACTERISTIC PROBLEMS IN EDUCATIONAL INSTITUTIONS Mardiana1and Keijiro Araki2 1,2Dept. of Advanced Information Technology, Kyushu University, Fukuoka, Japan 1Dept. of Electrical Engineering, University of Lampung, Indonesia ABSTRACT Higher education institutions require a proper standard and model that can be implemented to enhance alignment between business strategy and existing information technologies. Developing the required model is a complex task. A combination of the EA, MDA and SOA concepts can be one of the solutions to overcome the complexity of building a specific information technology architecture for higher education institutions. EA allows for a comprehensive understanding of the institution’s main business process while defining the information system that will assist in optimizing the business process. EA essentially focuses on strategy and integration. MDA relies on models as its main element and places focuses on effic...
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Showing posts from August, 2018
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A PARADIGM FOR THE APPLICATION OF CLOUD COMPUTING IN MOBILE INTELLIGENT TUTORING SYSTEMS Hossein Movafegh Ghadirli1 and Maryam Rastgarpour2 1 Graduate student in Computer Engineering, Young Researchers Club, Islamshahr Branch, Islamic Azad University, Islamshahr, Iran 2 Faculty of Computer Engineering, Department of Computer, Saveh Branch, Islamic Azad University, Saveh, Iran ABSTRACT Nowadays, with the rapid growth of cloud computing, many industries are going to move their computing activities to clouds. Researchers of virtual learning are also looking for the ways to use clouds through mobile platforms. This paper offers a model to accompany the benefits of “Mobile Intelligent Learning” technology and “Cloud Computing”. The architecture of purposed system is based on multi-layer architecture of Mobile Cloud Computing. Despite the existing challenges, the system has increased the life of mobile device battery. It will raise working memory ...
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TRACING REQUIREMENTS AS A PROBLEM OF MACHINE LEARNING Zeheng Li and LiGuo Huang Southern Methodist University, Dallas, Texas, USA ABSTRACT Software requirement engineering and evolution essential to software development process, which defines and elaborates what is to be built in a project. Requirements are mostly written in text and will later evolve to fine-grained and actionable artifacts with details about system configurations, technology stacks, etc. Tracing the evolution of requirements enables stakeholders to determine the origin of each requirement and understand how well the software’s design reflects to its requirements. Reckoning requirements traceability is not a trivial task, a machine learning approach is used to classify traceability between various associated requirements. In particular, a 2-learner, ontology-based, pseudo-instances-enhanced approach, where two classifiers are trained to separately exploit two types of features, lexical features and fea...
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DEVELOPMENT OF AN ARABIC HANDWRITING LEARNING EDUCATIONAL SYSTEM Hala Bezine and Adel M. Alimi REGIM: R Esearch Group on Intelligent Machines, University of Sfax, National School of Engineers (ENIS). BP 1173, Sfax, 3038, Tunisia ABSTRACT In today many students produce a wrong and illegible handwriting and teachers need a lot of time to check the handwriting errors. The traditional approach for handwriting teaching needs a long hours of handwriting practice. Unfortunately, this is not advantageous in many cases. In this paper, we develop an automated educational system for Arabic handwriting learning and detection of errors such as: the stroke production errors, stroke sequence errors, stroke relationship errors and stroke interline errors. Then our system can check the handwriting mistakes and immediately provide a feedback to the students to correct themselves. In this work, we used an attributed relational graph to locate the handwriting mistakes. The experiment...
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TRACING REQUIREMENTS AS A PROBLEM OF MACHINE LEARNING Zeheng Li and LiGuo Huang Southern Methodist University, Dallas, Texas, USA ABSTRACT Software requirement engineering and evolution essential to software development process, which defines and elaborates what is to be built in a project. Requirements are mostly written in text and will later evolve to fine-grained and actionable artifacts with details about system configurations, technology stacks, etc. Tracing the evolution of requirements enables stakeholders to determine the origin of each requirement and understand how well the software’s design reflects to its requirements. Reckoning requirements traceability is not a trivial task, a machine learning approach is used to classify traceability between various associated requirements. In particular, a 2-learner, ontology-based, pseudo-instances-enhanced approach, where two classifiers are trained to separately exploit two types of features, lexical features and fea...
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Framework for Evolving Software Product Line Sami OUALI, Naoufel KRAIEM, Henda BEN GHEZALA RIADI Lab, ENSI, Compus of Manouba Manouba, Tunisia Abstract Software product line engineering is an approach that develops and maintains families of products while taking advantage of their common aspects and predicted variabilities. Indeed, software product lines (SPL) are an important means for implementing software variability which is the ability of a system to be efficiently extended, changed, customized or configured for use in a particular context. Variability needs in software are constantly increasing because variability moves from mechanics and hardware to software and design decisions are delayed as long as economically feasible. Numerous SPL construction approaches are proposed. Different in nature, these approaches have nevertheless some common disadvantages. We have proceeded to an in-depth analysis of existing approaches for the construction of Software Product ...
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EMOTION DETECTION FROM VOICE BASED CLASSIFIED FRAME-ENERGY SIGNAL USING K-MEANS CLUSTERING Nazia Hossain1, Rifat Jahan2, and Tanjila Tabasum Tunka3 1Senior Lecturer, Department of Computer Science & Engineering, Stamford University Bangladesh, Dhaka, Bangladesh 2&3Undergraduate Student, Department of Computer Science & Engineering, Stamford University Bangladesh, Dhaka, Bangladesh ABSTRACT Emotion detection is a new research era in health informatics and forensic technology. Besides having some challenges, voice based emotion recognition is getting popular, as the situation where the facial image is not available, the voice is the only way to detect the emotional or psychiatric condition of a person. However, the voice signal is so dynamic even in a short-time frame so that, a voice of the same person can differ within a very subtle period of time. Therefore, in this research basically two key criterion have been considered; firstly, this is clear th...
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DESIGN AND IMPLEMENTATION OF AUTOMATED VISUALIZATION FOR INPUT / OUTPUT FOR PROCESSES IN SOFL FORMAL SPECIFICATIONS Yu Chen1 and Shaoying Liu2 1Graduate School of Computer and Information Sciences, Hosei University, Japan 2Faculty of Computer and Information Sciences, Hosei University, Japan ABSTRACT While formal specification is regarded as an effective means to capture accurate requirements and design, validation of the specifications remains a challenge. Specification animation has been proposed to tackle the challenge, but lacking an effective representation of the input / output data in the animation can considerably limit the understanding of the animation by clients. In this paper, we put forward a tool supported technique for visualization of the input / output data of processes in SOFL formal specifications. After discussing the motives of our work, we describe how data of each kind of data types available in the SOFL language can be visualized to facilitat...
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VALIDATION AND VERIFICATION OF SYSML ACTIVITY DIAGRAMS USING HOARE LOGIC Yufei Yin1 , Shaoying Liu1 and Yixiang Chen2 1Hosei University, Tokyo, Japan 2East China Normal University, Shanghai, China Abstract SysML diagrams are significant medium using for supporting software lifecycle management. The existing TBFV method is designed for error detection with full automation efficiency, only for code. For verifying the correctness of SysML diagram, we applying TBFV method into SysML diagram. In this paper, we propose a novel technique that makes use of Hoare Logic and testing to verify whether the SysML diagrams meet the requirement, called TBFV-M. This research can improve the correctness of SysML diagram, which is likely to significantly affect the reliability of the implementation. A case study is conducted to show its feasibility and used to illustrate how the proposed method is applied; and discussion on potential challenges to TBFV-M is also presented. Keywords ...
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International Journal of Software Engineering & Applications (IJSEA)-ERA Listed ISSN : 0975 - 9018 ( Online ); 0976-2221 ( Print ) http://www.airccse.org/journal/ijsea/ijsea.html … … … … Trending now @ Academia A New Framework for Measuring the Quality of Engineering Education System using SEI-CMM approach – (E2-CMM) Prof. R.Manjula1 and Prof. J.Vaideeswaran2 1Associate Professor, SCSE, VIT University, Vellore-632014,TN,India 2Senior Professor, SCSE, VIT University, Vellore-632014, TN, India http://www.airccse.org/journal/ijsea/current.html
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PRE-PROCESSING IMAGE ALGORITHM FOR FINGERPRINT RECOGNITION AND ITS IMPLEMENTATION ON DSP TMS320C6416 Farah Dhib1 , Mohsen Machhout 2 and Aguili Taoufik3 1Department of Electrical Engineering, National School of the Studies of Engineer of Tunis, Tunis, Tunisia 2Faculty of Sciences of Monastir, Monastir, Tunisia 3National School of the Studies of Engineer of Tunis,Tunis, Tunisia ABSTRACT Fingerprint recognition technology is becoming increasingly popular and widely used for many applications that require a high level of security. We can meet several types of sensors integrated in the fingerprint recognition system as well as several types of image processing algorithm in order to ensure reliable and fast authentication of people. Embedded systems have a wide variety and the choice of a welldesigned processor is one of the most important factors that directly affect the overall performance of the system. This paper introduces a preliminary treatment to the image in o...
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Emotion Detection from Voice Based Classified Frame-Energy Signal Using K-Means Clustering Noriko Hanakawa 1 and Masaki Obana2 1Information management department, Hannan University, Osaka, Japan 2Department of Information Science and Technology,Osaka Institute of Technology,Osaka, Japan ABSTRACT Emotion detection is a new research era in health informatics and forensic technology. Besides having some challenges, voice based emotion recognition is getting popular, as the situation where the facial image is not available, the voice is the only way to detect the emotional or psychiatric condition of a person. However, the voice signal is so dynamic even in a short-time frame so that, a voice of the same person can differ within a very subtle period of time. Therefore, in this research basically two key criterion have been considered; firstly, this is clear that there is a necessity to partition the training data according to the emotional stage of each individual sp...
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CHARACTERIZATION OF OPEN-SOURCE APPLICATIONS AND TEST SUITES Sarojini Balasubramanian and Kristen R. Walcott University of Colorado, Colorado Springs ABSTRACT Software systems that meet the stakeholders needs and expectations is the ultimate objective of the software provider. Software testing is a critical phase in the software development lifecycle that is used to evaluate the software. Tests can be written by the testers or the automatic test generators in many different ways and with different goals. Yet, there is a lack of well-defined guidelines or a methodology to direct the testers to write tests We want to understand how tests are written and why they may have been written that way. This work is a characterization study aimed at recognizing the factors that may have influenced the development of the test suite. We found that increasing the coverage of the test suites for applications with at least 500 test cases can make the test suites more costly. The corr...