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239 results for “objects”
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Research ArticleOpen accessIn the abstract3D 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 accessIn the abstractEnvironmental and Safety Accidents Related to Blasting OperationLazar Kricak, Vladislav Kecojevic, Ivan Jankovic et al.The blasting process remains a potential source of numerous environmental and safety accidents. The majority of these accidents were contributed to the flyrock and lack of blast area security. A field-scale investigation related to flyrock accident was conducted in an andesite quarry where rocks up to 50 cm in diameter were propelled almost 300 m from the center of blasting … …American Journal of Environmental Sciences, Vol. 8, Issue 4 · 18 Jun 2012 · 8,904 accessesView PDFCite
Research ArticleOpen accessIn the abstract3D Mesh Streaming based on Predictive ModelingV. Vani, R. Pradeep Kumar, S. MohanThe complexity in 3D virtual environment over the web is growing rapidly every day. This 3D virtual environment comprises a set of structured scenes and each scene has multiple 3D objects/meshes. Therefore the granular level of the block in a virtual environment is the object. In a virtual environment, it is required to give user interactions for every 3D object … …Journal of Computer Science, Vol. 8, Issue 7 · 7 Jun 2012 · 7,413 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Optimal Approach for Medical Image AnalysisJ. Umamaheswari, G. RadhamaniProblem statement: Image segmentation is the process that subdivides an image into its constituent parts and extracts the objects. It is one of the most critical tasks in automatic image analysis because the subdivided results will affect all the subsequent processes of image analysis, such as object representation and description, feature measurement and even the following higher level tasks such … …Current Research in Bioinformatics, Vol. 1, Issue 1 · 6 Jun 2012 · 9,519 accessesView PDFCite
Research ArticleOpen accessIn the abstractImpact of the Use of Object Request Broker Middleware for Inter-Component Communications in C6416 Digital Signal Processor Based Software Communications Architecture Radio SystemsWael A. Murtada, Mohamed M. Zahra, Magdi Fikri et al.Problem statement: This study presents an in-depth analysis of the performance of Software Communications Architecture (SCA) component-based waveform applications in terms of inter-component communications. The main limitation with SCA, in the context of embedded systems, is the additional cost introduced by the use of Object Request Broker (ORB) middleware. The ORB middleware handles the interaction between components and objects in … …Journal of Computer Science, Vol. 8, Issue 6 · 3 Apr 2012 · 7,242 accessesView PDFCite
Research ArticleOpen accessIn the abstractSimulation of Soybean Growth under Sowing Date Management by CROPGRO ModelFarzad Paknejad, Pouria Farahani Pad, Mohammad Nabi Ilkaee, Faezeh FazeliProblem statement: Always because of weather change, determine of optimum sowing date in each zone is difficult. Dynamic models can help us for solving this problem. In order to evaluation of soybean simulation by using of CROPGRO-Soybean model at four sowing date in field research of Azad university of Karaj branch a field experiment conducted in form of split plot … …American Journal of Agricultural and Biological Sciences, Vol. 7, Issue 2 · 14 Mar 2012 · 7,910 accessesView PDFCite
Research ArticleOpen accessIn the abstractFeatures Extraction Based on Linear Regression TechniqueKhalid W. MagldProblem statement: The matching problem of complex objects is one of the most difficult task in the pattern recognition field. These problems are made difficult by seemingly infinite varieties of shapes and classes which are used. The difficulties are related to absolute shape measurement, given the impossibility of directly mapping shapes, as such, into a feature space. Approach: In this … …Journal of Computer Science, Vol. 8, Issue 5 · 25 Feb 2012 · 7,053 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Evaluation of Wireless Sensor Network Channel in Agricultural ApplicationNaseer Sabri, S. A. Aljunid, R. B. Ahmad et al.Problem statement: In this study, the behavior of small scale fading channel due to a moving sink node of a Wireless Sensor Network (WSN) or moving of surrounding objects is presented. Approach: Specifically, this research introduces the effects of multipath and scattering on the transmitted signal due to mobile sink node within forest or closed field filled of reflectors and … …American Journal of Applied Sciences, Vol. 9, Issue 1 · 24 Nov 2011 · 7,101 accessesView PDFCite
Research ArticleOpen accessIn the abstractShape Retrieval through Angular Distance with Shortest Augmenting Path AlgorithmD. Chitra, N. Devarajan, T. ManigandanProblem statement: The shape of an object is very important in object recognition. Shape matching is a challenging problem, especially when articulation and deformation of a part occurs. These variations may be insignificant for human recognition but often cause a matching algorithm to give results that are inconsistent with our perception. Approach: We proposed a customized approach to measure similarity … …Journal of Computer Science, Vol. 7, Issue 12 · 21 Oct 2011 · 6,822 accessesView PDFCite
Research ArticleOpen accessIn the abstractObject 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