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73 results for “data objects”
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Research ArticleOpen accessIn the abstractAn Integrated Model for the Versioning of Image ObjectsS. KhaddajProblem statement: The efficient management and retrieval of the enormous volumes of information generated by many imaging applications is still a challenging problem. Approach: In this study we are particularly interested with the use of object oriented techniques for the management of digital images. Indeed, it is widely accepted that the use of data abstraction in object oriented modeling enables … …Journal of Computer Science, Vol. 6, Issue 1 · 31 Jul 2010 · 6,911 accessesView PDFCite
Research ArticleOpen accessIn the abstractComputational Complexity between K-Means and K-Medoids Clustering Algorithms for Normal and Uniform Distributions of Data PointsT. Velmurugan, T. SanthanamProblem statement: Clustering is one of the most important research areas in the field of data mining. Clustering means creating groups of objects based on their features in such a way that the objects belonging to the same groups are similar and those belonging to different groups are dissimilar. Clustering is an unsupervised learning technique. The main advantage of clustering … …Journal of Computer Science, Vol. 6, Issue 3 · 31 Mar 2010 · 19,434 accessesView PDFCite
Research ArticleOpen accessIn the abstractDifferential Diagnosis Knowledge Building by Using CUC-C4.5 FrameworkKusrini, Sri Hartati, Retantyo Wardoyo, Agus HarjokoProblem statement: The Case Based Reasoning (CBR) method can be implemented in differential diagnosis analysis. C4.5 algorithm has been commonly used to help the method's knowledge building process. This process is completed by constructing decision tree from previously handled cases data. The C4.5 algorithm itself can be used with an assumption that all the cases has an exact and equal … …Journal of Computer Science, Vol. 6, Issue 2 · 28 Feb 2010 · 8,411 accessesView PDFCite
Research ArticleOpen accessIn the abstractSingle Pass Seed Selection Algorithm for k-MeansK. Karteeka Pavan, Allam Appa Rao, A.V. Dattatreya Rao, G. R. SridharProblem statement: The k-means method is one of the most widely used clustering techniques for various applications. However, the k-means often converges to local optimum and the result depends on the initial seeds. Inappropriate choice of initial seeds may yield poor results. k-means++ is a way of initializing k-means by choosing initial seeds with specific probabilities. Due to the random … …Journal of Computer Science, Vol. 6, Issue 1 · 31 Jan 2010 · 7,541 accessesView PDFCite
Research ArticleOpen accessIn the abstractHeuristic Placement Routines for Two-Dimensional Bin Packing ProblemL. Wong, L. S. LeeProblem statement: Cutting and packing (C and P) problems are optimization problems that are concerned in finding a good arrangement of multiple small items into one or more larger objects. Bin packing problem is a type of C AND P problems. Bin packing problem is an important industrial problem where the general objective is to reduce the production costs by … …Journal of Mathematics and Statistics, Vol. 5, Issue 4 · 31 Dec 2009 · 7,701 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Tactile Force Probe for Tissue Stiffness ClassificationBehafarid Darvish, Siamak Najarian, Elham Shirzad, Roozbeh KhodambashiIn this study, we have proposed a new type of tactile sensor that is capable of detecting the stiffness of soft objects. The sensor consists of a brass cylinder with an axial bore. An iron core can easily move inside the bore. Three peripheral bobbins were machined in the cylinder around which three coils have been wound. One of the … …American Journal of Applied Sciences, Vol. 6, Issue 3 · 31 Mar 2009 · 7,286 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Integrated Approach to Digital Objects Storage and RetrievalKhalil Shihab, Haider Ramadhan, Nida Al-ChalabiImage retrieval systems are becoming increasingly important in areas of research and commercial use. The storage of digital objects in the traditional databases is considered inadequate because of the extensive precise data required for successful retrieval. In addition, the retrieval process has been implemented using content-based image retrieval (CBIR) that relies on retrieving stored images from a collection by comparing … …Journal of Computer Science, Vol. 2, Issue 9 · 30 Sep 2006 · 6,491 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Enhanced Secure and Scalable Model for Enterprise Applications using Automated MonitoringA. Kannammal, V. Ramachandran, N. Ch.S.N. IyengarE-Business must be highly secured and scalable to provide efficient services to millions of clients on the web. This paper proposes a new approach based on shared objects to improve security and mobile agents to improve scalability. The e-business uses shared objects and mobile agents to update the clients automatically with new information. The agent that resides in the database … …Journal of Computer Science, Vol. 2, Issue 7 · 31 Jul 2006 · 6,575 accessesView PDFCite
EditorialOpen accessIn the abstractProblems of Ultra-High Energy Cosmic RaysAnna V. UrysonCosmic rays are energetic particles coming to the Earth from space. They bombard the atmosphere producing cascades of particles that spread over a large area when they reach the ground. Cosmic ray energies vary in the wide band from about 108 eV up to few 1020 eV. It is established that most particles with energies of ~ (108-109) eV come … …Space Science International, Vol. 2, Issue 1 · 6 Dec 2014 · 13,854 accessesView PDFCite
Research ArticleOpen accessIn the abstractREVIEW CLUSTERING MECHANISMS OF DISTRIBUTED DENIAL OF SERVICE ATTACKSWesam Bhaya, Mehdi Ebady ManaaDistributed Denial of Service attacks (DDoS) overwhelm network resources with useless or harmful packets and prevent normal users from accessing these network resources. These attacks jeopardize the confidentiality, privacy and integrity of information on the internet. Since it is very difficult to set any predefined rules to correctly identify genuine network traffic, an anomaly-based Intrusion Detection System (IDS) for network … …Journal of Computer Science, Vol. 10, Issue 10 · 26 Jun 2014 · 7,635 accessesView PDFCite