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Research ArticleOpen accessEvery word in the titleConvergent Tangent Estimator for Discrete Objects Based on Isothetic CoversYumnam Surajkanta, Shyamosree PalIn this article, we propose a tangent estimation method for discrete object based on isothetic covers. We introduce a concept of maximal isothetic straight segments as a maximal segment of isothetic covers that are linearly separable. A new tangent estimator is proposed as a function of maximal isothetic straight segments. Upper bound for the tangent estimator are derived and show … …Journal of Computer Science, Vol. 16, Issue 4 · 21 Apr 2020 · 6,897 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleHybrid Adaptive Filters for Dynamic Mass Measurement of Moving Objects on Flexible PlatformsSergio Bimbi Junior, Flavio Celso Trigo, Agenor de Toledo FleuryDynamic mass measurement of moving objects on flexible platforms remains a significant challenge due to mechanical vibrations, structural flexibility, and the inherently low Signal-to-Noise Ratio (SNR) of strain gauge sensors. Traditional analog filtering approaches, such as Tow– Thomas active filters, exhibit limitations since gain stages propagate and may even amplify intrinsic noise, compromising metrological accuracy. This work proposes a hybrid … …American Journal of Engineering and Applied Sciences, Vol. 19, Issue 1 · 22 Apr 2026 · 2,669 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Genetic Algorithm for the Segmentation of Known Touching ObjectsEdgar Scavino, Dzuraidah Abdul Wahab, Hassan Basri et al.Problem statement: Segmentation is the first and fundamental step in the process of computer vision and object classification. However, complicate or similar colour pattern add complexity to the segmentation of touching objects. The objective of this study was to develop a robust technique for the automatic segmentation and classification of touching plastic bottles, whose features were previously stored in a … …Journal of Computer Science, Vol. 5, Issue 10 · 31 Oct 2009 · 7,128 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleImproved Meta-Heuristic for Multi-Objective Integrated Procurement, Production and Distribution Problem of Supply Chain Network Under Fuzziness UncertaintiesKaoutar Douaioui, Mouhsene Fri, Charif Mabrouki, El Alami SemmaIn this study, we devoted a design under uncertainty of a supply chain network composed of multiple suppliers, multiple plants, multiple distributors and multiple customers. The proposed model is a bi- objective mixed integer linear programming which consider several constraints and optimize the total costs including the procurement, production, storage and distribution costs as well as maximize on-time deliveries. In … …Journal of Computer Science, Vol. 17, Issue 12 · 27 Dec 2021 · 6,633 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEfficient Image Integration Technique: Mismatch of Subjective and Objective AnalysisSetika Mehra, Ayush Dogra, Bhawna Goyal et al.The paper intends to extract features with high visual quality during image fusion. An improved image fusion algorithm is presented, aiming to preserve necessary features and relevant information, simultaneously focusing on highly enhanced visual results. The resultant fused image obtained is superior to other images obtained from other state-of-the-art techniques with respect to visual quality. A novel and improved image … …Journal of Computer Science, Vol. 15, Issue 10 · 19 Oct 2019 · 7,613 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleModern Metaheuristic with Multi-Objective Formulation for the Variable Selection ProblemLauro Cassio Martins de Paula, Anderson da Silva Soares, Telma Woerle Soares et al.The development of efficient algorithms for variable selection becomes important to deal with large and complex datasets. Most works in quantitative chemical analysis have used Genetic Algorithms (GAs) as a reference method to select variables. On the other hand, new advances in metaheuristic techniques provide novel possibilities in this task Moreover, the application of Multi-Objective Optimization (MOO) may significantly contribute … …Journal of Computer Science, Vol. 13, Issue 11 · 20 Nov 2017 · 7,668 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMulti-Objective Optimization of FRP Jackets for Improving the Seismic Response of Reinforced Concrete FramesCorrado Chisari, Chiara BedonIn this study, a multi-objective Genetic Algorithm (GA) optimization procedure is proposed for the seismic retrofitting of Reinforced Concrete (RC) building frames via Fiber-Reinforced Polymer (FRP) jackets. The optimization problem is solved via numerically efficient but accurate Finite-Element (FE) models able to take into account the strengthening and ductility increase contribution for a given FRP jacketing configuration. Based on a … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 3 · 27 Sep 2016 · 8,832 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOBJECTIONABLE IMAGE DETECTION IN CLOUD COMPUTING PARADIGM-A REVIEWRashed Mustafa, Dingju ZhuObscenity detection from images and videos are now crucial due to social and ethical reasons. It has been two decades the research on this field started. Most of the works are based on skin color detection, which are not suitable for finding obscenity. The reason for this is that, there are many skins like objects such as beach photos, human … …Journal of Computer Science, Vol. 9, Issue 12 · 25 Nov 2013 · 6,976 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAn Efficient Algorithm for Mining Spatially Co-located Moving ObjectsG. Manikandan, S. SrinivasanMining co-location patterns from spatial databases may disclose the types of spatial features which are likely located as neighbors’ in space. Accordingly, we present an algorithm previously for mining spatially co-located moving objects using spatial data mining techniques and Prim’s Algorithm. In the previous technique, the scanning of database to mine the spatial co-location patterns took much computational cost. In … …American Journal of Applied Sciences, Vol. 10, Issue 3 · 2 Mar 2013 · 6,654 accessesView PDFCite