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237 articles for “objects”
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Research ArticleOpen accessIn the abstractA COMPARISION OF VARIOUS EDGE DETECTION TECHNIQUES IN MOTION PICTURE FOR IDENTIFYING A SHARK FISHShrivakshan Gopal Thiruvangadan, Chelliah ChandrasekarThe significant feature of detecting the motion image objects in this study it try identify the shark fish videos by removing the Background of the image. The main method involved in the detecting from the background is the foreground detection of the image. There are many techniques which usually ignore the fact that the background images consist of different image … …Journal of Computer Science, Vol. 9, Issue 11 · 18 Sep 2013 · 6,697 accessesView PDFCite
Research ArticleOpen accessIn the abstractReceived Signal Strength Indication Modeling in Indoor Wireless Sensor NetworksEdson Taira Procopio, Alexandre de Assis Mota, Lia Toledo Moreira Mota, Luiz Rodolfo Barreto da SilvaThis study aims to identify mathematical models that represent the relation between Received Signal Strength Indication (RSSI) and objects in an indoor Wireless Sensor Network (WSN). Using the Least Squares Method, four linear models have been identified: The first one relates uplink RSSI and objects; the second one relates downlink RSSI and objects; the third one relates uplink RSSI and … …American Journal of Applied Sciences, Vol. 10, Issue 9 · 24 Aug 2013 · 6,866 accessesView PDFCite
Research ArticleOpen accessIn the abstractENHANCED LOAD BALANCING STRATEGY IN HETEROGENEOUS PEER-TO-PEER NETWORKSP. Murugesan, A. ShanmugamExisting P2P systems provide a Duty Cycle Data Appropriation (DCDA) Technique allocate objects based on ranking among “peer nodes” in a method that result in various nodes containing times as numerous objects as the standard node. Further disparity might effect owing to non-uniform allocation of objects in the identifier break and a high amount of heterogeneity in objective loads and … …Journal of Computer Science, Vol. 9, Issue 9 · 6 Aug 2013 · 6,435 accessesView PDFCite
Research ArticleOpen accessIn the abstractHuman Visual Sensitivity Guided Bit Embedding for Video SteganographyS. Balu, K. Amudha, D. C. Nelson Kennedy BabuWhile watching a video human visual system gives more attention on the foreground objects than background objects. That is, human vision system pays more attention to the region of interest, such as the human faces in the video content. Most of the video steganography algorithms embed secret information in video by considering every part of the video frames with equal … …Journal of Computer Science, Vol. 9, Issue 7 · 24 Jun 2013 · 6,859 accessesView PDFCite
Research ArticleOpen accessIn the abstractVehicle Identification using Fuzzy Adaline Neural NetworkGokul Murugesan, Shriram K. Vasudevan, Sivaraman Ramachandran et al.Video surveillance is an important aspect in today’s world, where a particular scene of area requires monitoring to avoid terrorist attacks and unauthorized entries. Vehicle recognition is an important area in object tracking and recognition. Objects may be of rigid or non-rigid in nature with varying velocity and have different features. Important features like shape, logo, color and texture are … …Journal of Computer Science, Vol. 9, Issue 6 · 6 Jun 2013 · 7,181 accessesView PDFCite
Research ArticleOpen accessIn the abstractAcceleration and Particle Field Interactions of Cosmic Rays: FormalismA. Tawfik, A. Saleh, M.T. Ghoneim, A.A. HadyThe origin and acceleration theories of Ultrah High Energy Cosmic Rays (UHECRs) are still mesterious problem in modern physics and astrophysics. The acceleration of ultra high energy cosmic rays is conjectured to occur through interactions with electromagnetic fields in different astrophysical objects, like magnetic matter clumps, besides the well-known shock waves and elastic Fermi mechanisms. Based on this model, a … …Physics International, Vol. 3, Issue 2 · 18 May 2013 · 7,465 accessesView PDFCite
Research ArticleOpen accessIn the abstractClassification Model for Hotspot Occurrences Using Spatial Decision Tree AlgorithmImas Sukaesih Sitanggang, Razali Yaakob, Norwati Mustapha, A. N. AinuddinDeveloping a predictive model for forest fires occurrence is an important activity in a fire prevention program. The model describes characteristics of areas where fires occur based on past fires data. It is essential as an early warning system for preventing forest fires, thus major damages because of fires can be avoided. This study describes the application of data mining … …Journal of Computer Science, Vol. 9, Issue 2 · 11 Apr 2013 · 7,229 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Gravity Field of a CubeJames Michael Chappell, Mark John Chappell, Azhar Iqbal, Derek AbbottWe calculate the Newtonian gravitational potential and field of a cubic, homogeneous asteroid and we apply it to the orbit of possible satellites. Large astronomical objects such as stars or planets, naturally tend to form spherical shapes due to the dominance of the gravitational forces, but as a thought experiment, we consider the properties of a planet in the form … …Physics International, Vol. 3, Issue 2 · 27 Mar 2013 · 15,337 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn 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 accessIn the abstractFeature Fusion in Improving Object Class RecognitionNoridayu Manshor, Amir Rizaan Abdul Rahiman, Mandava Rajeswari, Dhanesh RamachandramProblem statement: Extraction of features in object class recognition researches previously gives attention to local features as discriminative features. This is because local features have invariant properties that are robust to viewpoints, translation and rotation. However this feature still has a limitation to represent high-level representation of objects. The problem will occur if the object is too small and do … …Journal of Computer Science, Vol. 8, Issue 8 · 24 Jul 2012 · 6,912 accessesView PDFCite