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Research ArticleOpen accessIn the abstractIMAGE RETRIEVAL USING CERTAIN BLOCK BASED DIFFERENCE OF INVERSE PROBABILITY AND CERTAIN BLOCK BASED VARIATION OF LOCAL CORRELATION COEFFICIENTS INTEGRATED WITH WAVELET MOMENTSB. Thenkalvi, S. MurugavalliContent Based Image Retrieval (CBIR) is an evolving topic under image processing. Retrieval on medical images plays a vital role in saving mankind. Medical Content Based Image Retrieval (MCBIR) does not stop its work in displaying similar images; it also goes one step further for diagnosis to decide the method of therapy by comparing the query image and database image. … …Journal of Computer Science, Vol. 10, Issue 8 · 3 Apr 2014 · 6,979 accessesView PDFCite
Research ArticleOpen accessIn the abstractWEEDS IDENTIFICATION USING EVOLUTIONARY ARTIFICIAL INTELLIGENCE ALGORITHMAhmed M. Tobal, Sahar A. MokhtarIn a world reached a population of six billion humans increasingly demand it for food, feed with a water shortage and the decline of agricultural land and the deterioration of the climate needs 1.5 billion hectares of agricultural land and in case of failure to combat pests needs about 4 billion hectares. Weeds represent 34% of the whole pests while … …Journal of Computer Science, Vol. 10, Issue 8 · 4 Mar 2014 · 7,823 accessesView PDFCite
Research ArticleOpen accessIn the abstractBi-Level Classification of Color Indexed Image Histograms for Content Based Image RetrievalKarpagam Vilvanathan, Rangarajan RangaswamyThis dissertation proposes content based image classification and retrieval with Classification and Regression Tree (CART). A simple CBIR system (WH) is designed and proved to be efficient even in the presence of distorted and noisy images. WH exhibits good performance in terms of precision, without using any intensive image processing feature extraction techniques. Unique indexed color histogram and wavelet decomposition … …Journal of Computer Science, Vol. 9, Issue 3 · 26 Apr 2013 · 6,438 accessesView PDFCite
Research ArticleOpen accessIn the abstractParasitological Prevalence of Bovine Trypanosomosis in Kubo Division of Kwale County of Coastal: Baseline SurveyN. Mbahin, H. Affognon, J. Andoke et al.Prior to field trials of large scale tsetse repellent technology validation in July 2011, a cross-sectional survey of bovine trypanosomosis and its vectors was carried out to know the disease level in Kwale County of Coastal Kenya. A total of 584 adult cattle were examined at ten different Locations. The trypanosome prevalence in cattle with regard to age, sex, location … …American Journal of Animal and Veterinary Sciences, Vol. 8, Issue 1 · 25 Jan 2013 · 7,677 accessesView PDFCite
Research ArticleOpen accessIn the abstractWeb Document Segmentation Using Frequent Term Sets for SummarizationChitra Pasupathi, Baskaran Ramachandran, Sarukesi KarunakaranQuery sensitive summarization aims at extracting the query relevant contents from web documents. Web page segmentation focuses on reducing the run time overhead of the summarization systems by grouping the related contents of a web page into segments. At query time, query relevant segments of the web page are identified and important sentences from these segments are extracted to compose … …Journal of Computer Science, Vol. 8, Issue 12 · 19 Dec 2012 · 6,672 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Spatial Distribution of Apis Dorsata Host Plants Using an Integrated Geographical Information System-Remote Sensing ApproachIzzat F. Ibrahim, Siva K. Balasundram, Nur-Ashikin P. Abdullah et al.Apis dorsata is one of the important honeybee species in tropical and subtropical regions that forages on various plants including herbs, grasses, forest trees and plantation trees. However, information on the spatial distribution of various pollen sources of Apis dorsata is still lacking. This study aimed at mapping the spatial distribution of the major honeybee plants that serve as pollen … …American Journal of Agricultural and Biological Sciences, Vol. 7, Issue 4 · 20 Sep 2012 · 8,585 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Evaluation of Multicrypt Encryption MechanismRhymend Uthariaraj Vaidyanathan, Lydia Elizabeth Benjamin, John Prakash ArockiasamyMulticast communication allows a single message packet to be routed to multiple nodes simultaneously. Membership in a multicast group is dynamic, allowing nodes to enter and leave the multicast session. Besides the benefits, multicast communication presents the challenge of securing the communication. In order to preserve confidentiality the general encryption mechanism used for point to point communications are used. A … …American Journal of Applied Sciences, Vol. 9, Issue 11 · 4 Sep 2012 · 7,168 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdvanced Logistic Belief Neural Network Algorithm for Robot Arm ControlMbaitiga ZacharieProblem statement: This study discusses the implementation of advanced logistic belief Neural Network for robot arms control. Approach: Given the desired trajectory of the end-effectors in space, the logistic function is used to compute the conditional probability of the neurons being active in response to its induced field. The computations of conditional probabilities are performed under two different null conditions. … …Journal of Computer Science, Vol. 8, Issue 6 · 3 Apr 2012 · 6,928 accessesView PDFCite
Research ArticleOpen accessIn the abstractWarped Optical-Flow Inter-Frame Reconstruction for Ultrasound Image EnhancementBalza Achmad, Mohd Marzuki Mustafa, Aini HussainProblem statement: Optical flow inter-frame enhancement is one of the techniques to improve the quality of ultrasound images by reducing the speckle noise. The performance depends on accuracy of the optical flow inter-frame reconstruction which is a part of the technique. The speckle noise of an ultrasound image forms certain pattern, of which size of the speckle varies depends on … …Journal of Computer Science, Vol. 7, Issue 10 · 6 Aug 2011 · 7,212 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Derivative-Free Optimization Method for Solving Classification ProblemParvaneh Shabanzadeh, Malik Abu Hassan, Wah June LeongProblem statement: The aim of data classification is to establish rules for the classification of some observations assuming that we have a database, which includes of at least two classes. There is a training set for each class. Those problems occur in a wide range of human activity. One of the most promising ways to data classification is based on … …Journal of Computer Science, Vol. 6, Issue 3 · 31 Mar 2010 · 7,505 accessesView PDFCite