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Research ArticleOpen accessEvery word in the titleDefinition of Object Constraint Language Rules in Models to Support the Development of Android ApplicationsJean Carlos Hrycyk, Inali Wisniewski Soares, Luciane Telinski Wiedermann AgnerThe Model Driven Engineering (MDE) supports software development, promoting quality and speed enhancement in providing new products. The development of more accurate models is obtained through the employment of the Object Constraint Language (OCL). Given the increasing use of mobile devices and the need for new applications, the MDE together with the OCL constraints promote the development of quality mobile … …Journal of Computer Science, Vol. 14, Issue 2 · 20 Feb 2018 · 8,096 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEmbedded Architecture for Object Tracking using Kalman FilterAhmad Abdul Qadir Al RababahIntelligent video is a new area of research fairly wide allowing to do a study, analysis, or interpretation of digital video such as motion analysis. However, for a video surveillance system, a motion analysis task of digital video includes the detection of moving objects and their tracking. The object detection allows the location of the regions of interest, which represents … …Journal of Computer Science, Vol. 12, Issue 5 · 18 May 2016 · 7,427 accessesView PDFCite
Literature ReviewOpen accessEvery word in the titleObject Tracking in Wireless Sensor Networks: Challenges and SolutionsShereen Ismail, Eman Alkhader, Said ElnaffarWireless Sensor Networks (WSNs) are small, inexpensive and battery-operated sensor nodes that are deployed over a geographical area. WSNs are used in many applications such border patrolling, military intrusion detection, wildlife animal monitoring, surveillance of natural disasters and healthcare systems. Mobile object tracking is a vital task in all these applications. The goal of this work is to highlight the … …Journal of Computer Science, Vol. 12, Issue 4 · 1 May 2016 · 7,784 accessesView PDFCite
Research NotesOpen accessEvery word in the titleA Proposed Framework for Outsourcing and Secure Encrypted Data on OpenStack Object Storage (Swift)Hala Albaroodi, Selvakumar Manickam, Mohammed AnbarDespite the numerous potential benefits of Open Source Cloud Computing (OSCC) in several industrial and academic-oriented environments, OSCC could be also associated with some risks. However, which a proper awareness to the cloud consumers or organisations, these risks can be clearly identify and avoided. OpenStack Swift security can provide a greater understanding of how OpenStack Swift functions and what types … …Journal of Computer Science, Vol. 11, Issue 3 · 14 May 2015 · 7,008 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleCHILD VIDEO DATASET TOOL TO DEVELOP OBJECT TRACKING SIMULATES BABYSITTER VISION ROBOTHanan Aljuaid, Dzulkifli MohamadThis study presents a Child Video Dataset (CVDS) that has numerous videos of different ages and situation of children. To simulate a babysitter’s vision, our application was developed to track objects in a scene with the main goal of creating a reliable and operative moving child-object detection system. The aim of this study is to explore novel algorithms to track … …Journal of Computer Science, Vol. 10, Issue 2 · 16 Nov 2013 · 8,598 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDesign of Object-Oriented Debugger Model by Using Unified Modeling LanguageNor Fazlida Mohd Sani, Noor Afiza Mohd Ariffin, Rodziah AtanDebugging on computer program is a complex cognitive activity. Although it is complex, it’s still one of the popular issues in computer programming task. It is a difficult task, which is to understand what the error is and how to solve such error? In computer programming the difficulty is to understand the Object-Oriented programming concept together with the programming logic. … …Journal of Computer Science, Vol. 9, Issue 1 · 22 Jan 2013 · 7,173 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOntological Framework for Object-Oriented Analysis and DesignPrabodha Tilakaratna, Jayantha RajapakseRegardless of the large number of Object-Oriented (OO) modeling languages currently being used in the Information Systems (IS) modeling process, unavailability of an OO modeling language that can be used in both the analysis and design phases disintegrates the two phases. The problem is, such disintegration can lead to a high level of missing information in the real world system … …American Journal of Engineering and Applied Sciences, Vol. 5, Issue 3 · 14 Sep 2012 · 8,086 accessesView PDFCite
Research ArticleOpen accessEvery word in the title3D Object Recognition using Multiclass Support Vector Machine-K-Nearest Neighbor Supported by Local and Global FeatureC. Chandrasekar, R. MuralidharanProblem statement: In this study, a new method has been proposed for the recognition of 3D objects based on the various views of the object. The proposed method is evolved from the two promising methods available for object recognition. Approach: The proposed method uses both the local and global features extracted from the images. For feature extraction, Hu’s Moment invariant … …Journal of Computer Science, Vol. 8, Issue 8 · 4 Aug 2012 · 7,288 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAn Efficient Bayesian Nearest Neighbor Search Using Marginal Object Weight Ranking Scheme in Spatial DatabasesK. Balasaravanan, K. DuraiswamyProblem statement: A database that is optimized to store and query data that is related to objects in space, including points, lines and polygons is called spatial database. Identifying nearest neighbor object search is a vital part of spatial database. Many nearest neighbor search techniques such as Authenticated Multi-step NN (AMNN), Superseding Nearest Neighbor (SNN) search, Bayesian Nearest Neighbor (BNN) … …Journal of Computer Science, Vol. 8, Issue 8 · 30 Jul 2012 · 7,155 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleObject Recognition Based on Image Segmentation and ClusteringS. Thilagamani, N. ShanthiProblem statement: This study deals with object recognition based on image segmentation and clustering. Acquiring prior information of an image is done via two separate processes. Approach: The first process deals with detecting object parts of an image and integration of detected parts into several clusters. All these cluster centers form the visual words. The second process deals with over … …Journal of Computer Science, Vol. 7, Issue 11 · 6 Sep 2011 · 7,078 accessesView PDFCite