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Accepted Papers

  • A model for classification of information for better knowledge creation
    Nahid Hashemian Bojnord & Sasan Nobakht, khayyam Higher Educational Institute, Mashhad, Iran
    In knowledge hierarchy model the importance of information in knowledge creation has been highlighted. In this paper, by focus on knowledge hierarchy model, a model has been developed for classification of information. Two features have been used in the proposed model. The first feature is information volume and the second feature is information diversity. This model categorizes the information into four major categories: similar and high volume information; diverse and high volume information; similar and little information; diverse and little information. In this paper, for each types of information, the conditions for better knowledge creation has been discussed.
  • Performance comparison of proposed 3-D coherent spatial-phase-time coding/decoding with super structured fiber Bragg grating-based OCDMA systems
    Himanshu Monga & R.S. Kaler,Thapar University,India
    In this paper, performance comparison in terms of bit error rate (BER) of proposed WDM compatible optical CDMA system incorporating 3-D spectral-phase-time encoding/decoding to a 7 chip-superstructured fiber Bragg grating (SSFBG)-based optical code division multiple access (OCDMA) system is investigated. Coding and decoding using binary [0, π] phase chips is demonstrated for six users at 5 Gb/s, and a single coded signal is separated with acceptable bit-error rate ≤ 10-9 In our proposed optical CDMA system encoding and decoding is done by converting hadamard codes (used for conventional CDMA system) to phase codes. It is then compared with two optical pulse retiming and reshaping systems incorporating super structured fiber Bragg gratings (SSFBGs) as pulse shaping elements. Simulation results show that with all input bands having same sample rate, size & data rates our proposed codes with even larger number of channels perform better in terms of eye opening & BER.
  • Information System For Quality Management In Analysis Laboratories
    Herman Ramirez Gomez and Luis Carlos Gomez, Universidad Industrial de Santander, Bucaramanga, Colombia
    Total Quality Management (TQM) practices in organizations have been studied in the last years, due the competitive advantages that it generates in the companies. For that reason, the Industrial University of Santander (Universidad Industrial de Santander - UIS) has been making efforts to incorporate TQM practices in their analysis laboratories (AL). One of these efforts is an information system (IS), developed by the authors of this article, which helps to the incorporation of TQM in analysis laboratories of the university. This paper describes the IS for TQM in AL, and the proposal to incorporate the principles of Open Innovation (OI) in the IS developed.
  • Lattice-Cell : Hybrid Approach Fortext Categorization
    Hichem Benfriha, Fatiha Barigou, Baghdad Atmani, Oran University, Algeria
    In this paper, we propose a new text categorization framework based on Concepts Lattice and cellular automata. In this framework, concept structure are modeled by a Cellular Automaton for Symbolic Induction (CASI). Our objective is to reduce time categorization caused by the Concept Lattice. We examine, by experiments the performance of the proposed approach and compare it with other algorithms such as Naive Bayes and k nearest neighbors. The results show performance improvement while reducing time categorization.
  • A Study On Security Level Measurement Of Mobile Apps
    Ali Javed & Huma Nadeem, University of Engineering and Technology,Pakistan
    The proposed research work covers the study of the security level measurement of Mobile Apps by devising a formula for measuring security over Six Layers of Mobile Security. The study is performed over an Android Project and the results are successfully concluded. Through this formula, a measure of Security level of a Mobile App can be determined.
  • Dirt Spot Random Strategy: An Upgraded Version Of Random+ Testing
    Mian Asbat Ahmad & Manuel Oriol,University of York,York, United Kingdom
    Random testing is a simple and effective technique to find failures in complex programs. However, its efficiency reduces when the failures lie in contiguous locations across the input domain. To overcome the deficiency, we developed a new automated technique: Dirt Spot Sweeping Random (DSSR) strategy. It is based on the assumption that unique failures reside in contiguous blocks and stripes. When a failure is identified, the DSSR strategy selects neighbouring values for the subsequent tests. Resultantly, selected values sweep around the failure leading to the discovery of new failures in the vicinity. To evaluate the effectiveness of DSSR strategy a total of 60 classes (35,785 lines of code), each class with 30 x 105 calls, were tested by Random (R), Random+ (R+) and DSSR strategies. T-Test analysis showed significantly better performance of DSSR compared to R strategy in 17 classes and R+ strategy in 9 classes. In the remaining classes all the three strategies performed equally well. Numerically, the
    DSSR strategy found 43 and 12 more unique failures than R and R+ strategies respectively. This study comprehends that DSSR strategy will have a profound positive impact on the failurefinding ability of R and R+ testing.
  • Vehicle4Me
    M. Fahad Khan,Kiran Majeed & Yousra Zafar,University of Engineering and Technology, Pakistan
    Every week, thousands of android applications are developed because of the growth in mobile technology. Vast number of efficient, fast, user friendly apps are provided by Android as it is one of the prevailing mobile platforms. In this paper all those android applications are reviewed which provide ease to its users who are willing to visit some unknown or faraway place, in one way or another. Travelling from one place to another, especially to unknown places has never been an easy task. Chances of people getting lost are so high that people fear to wander to unknown places. Also some car rental companies cannot manage their records nicely because of the manual and unsystematic procedures of their work. Considering the prominence and significance of the Android Operating System, Vehicle4Me is planned which definitely is a perfect solution to all these major problems that these people are commonly facing. With its highly friendly user interface a person can not only make a cab request within no time but they can also fearlessly roam around in any unknown place thus enjoying their trips to full. Similarly with its systematic working it also helps the cab rental owners to manage their business with less fatigue and tensions. By use of GCM technology, a fast, inexpensive, easy and real time way of communication is established amongst all its customers, drivers and admin.
  • Notifications Management in Distributed Development Environments: a Case Study on SCI
    Hani Bani-Salameh1,Clinton Jeffery2,1The Hashemite University, Jordan,2University of Idaho,Idaho
    Interruptions in distributed development environments, caused by notifications, are increasingly necessary during the collaboration practices between the developers. This paper introduces the interruptions management problem and presents a solution integrated into the design and management of notifications in a social software development environment called SCI. It provides a preliminary classification of notification types in SCI. Also, it reports results from a study testing its effectiveness and usability. The study explored the effect of managing interruptions with the proposed features on the teams and their progress.
  • Linking Software Development Phase And Product Attributes With User Evaluation: A Case Study On Games
    Ozge Bengur and Banu Gunel,Informatics Institute, Middle East Technical University, Ankara, Turkey
    This paper presents an evaluation methodology to reveal the relationships between the attributes of software products, practices applied during the development phase and the user evaluation of the products. For the case study, the games sector has been chosen due to easy access to the user evaluation of this type of software products. Product attributes and practices applied during the development phase have been collected from the developers via questionnaires. User evaluation results were collected from a group of independent evaluators. Two bipartite networks were created using the gathered data. The first network maps software products to the practices applied during the development phase and the second network maps the products to the product attributes. According to the links, similarities were determined and subgroups of products were obtained according to selected development phase practices. By this way, the effect of development phase on the user evaluation has been investigated.
  • Bridging The Gap Between The Business Process Model And The Use Case Model
    Adam Przybyłek, Gdansk University of Technology, Poland
    "The hardest single part of building a software system is deciding precisely what to build" [Brooks, 1987]. Faulty requirements analysis is a major reason for project failure or unsatisfactory information systems that do not fulfill business needs. Although focus on understanding the business domain during requirement election has received attention and business process modeling has become the initial phase of most software life-cycles, the transition between business modeling and the next phases is still a challenge for research. This paper reports the results of an action research conducted for elaborating a business-oriented approach to Requirements Elicitation. Our approach integrates Requirements Engineering (RE) with Business Process Reengineering (BPR) and derives system requirements based on business process models. This ensures that system requirements meet real business needs. The proposed approach is illustrated by a real-world example.
  • Contracting for an ERP System: Lessons Learned
    Adnan A. Al Bar,Victor R. Basili,Wajdi H. Al Jedaibi and Abdul Jawad Chaudhry,King Abdulaziz University, Jeddah, Saudi Arabia
    Enterprise Resource Planning (ERP) systems integrate information across an entire organization that automate core activities such as finance/accounting, human resources, manufacturing, production and supply chain management..etc. to facilitate integrated centralized system and rapid decision making - resulting in cost reduction, greater planning, and increased control. Many organizations have and are updating their current management information systems with ERP systems. But this is not a trivial task. They have to identify the organization's objectives and satisfy a myriad of stakeholders. They have to understand what business process they have, how they can be improved, and what particular systems would best suit their needs. And they have to understand how an ERP system is built; it involves the modification of an existing system with its own set of business rules. Deciding what to ask for and how to select the best option is a very complex operation and there is limited experience with this type of contracting in organizations. In this paper we discuss a particular experience with contracting out an ERP system, provide some lessons learned, and offer suggestions in how the RFP and bid selection processes could have been improved.
  • Design and Implementation of Hybrid Location Aware Mobile Strategy for Business Marketing
    Aziz Ur Rehman, Ali Javed and Muhammad Nadeem Majeed,University of Engineering and Technology Taxila, Pakistan
    Location aware applications are the trend setters now a day. These applications are prototyped in numerous ways to facilitate the mobile users. The evolution is going on in this context and it's not going to end in the near future. Finding the user location and sending the data related to proximity is a concept which is effective, attractive and fascinating. The Location aware applications are categorized into different contexts includes guide, tracking, advertising etc. This paper introduces to an application architecture which comes under the umbrella of location aware apps. Application is hybrid as it will be integration of web and mobile. The purpose of this app is to provide platform to all merchants especially the small business owners to market and sale their products by offering deals to user according to the current location of the user. This will provide an opportunity to business owners to attract the user by offering specific offer to user on specific time and area. A different franchise of same brand will have different perspective as compared to other franchise.
  • 5-Star: An Evaluation Model for Social Development Environments
    Hani Bani-Salameh,The Hashemite University, Jordan
    Distributed developers usually make use of a variety of development environments such as CDEs and SDEs. To better understand such environments and their supported tools, and to assist developers and team members decide what is the best development environment that serves their work and the development process, a comparison/evaluation of the supported tools is needed.
  • A PG-LSH similarity search method for cloud encrypted storage
    Jie Zheng, Jun Luo,National University of Defense Technology Changsha, China
    LSH (Locality Sensitive Hashing) indexing is often used for similarity search in high-dimensional object set. The way of separating index and store in LSH is particularly suitable for searching encrypted data stored in the cloud. However, most LSH methods only use or improve the first phase of LSH for similarity search. In this paper, we focus on the second phase of LSH, and propose a probability guarantee LSH (PG-LSH) method based on the Multi-Probe method, and apply it to cloud storage encrypted data search. Our approach simplifies the candidate set generation process and removes pseudo-similar objects. Experimental results show that the elimination rate of PG-LSH is more than 21%. It can also effectively reduce the time and space without losing search quality.
  • Multi-Criteria Decision Support Guided By Case-Based Reasoning
    Abdelhak Mansoul, Baghdad Atmani, Sofia Benbelkacem, Oran University, Algeria
    In many knowledge-based systems, particularly expert systems for medical decision support have been developed. But these systems are based on production rules, and cannot learn and evolve only by updating them. In addition, taking into account several criteria induces an exorbitant number of rules to be injected into the system. It becomes difficult to translate medical knowledge or a support decision as a simple rule. Moreover, reasoning based on generic case became classic and can even reduce the range of possible solutions. To remedy that, we propose an approach based on multi-criteria decision support and case-based reasoning (CBR).