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Research ArticleOpen accessIn the keywordsThe Cost Advantage of Sicilian Wine FarmsSalvatore Tudisca, Anna Maria Di Trapani, Filippo Sgroi, Riccardo TestaThis study presents the results of research carried out on a Sicilian wine farm in order to demonstrate the economic convenience of the mechanized harvest. After the determination of the minimum optimal farm size that justifies the introduction of grape harvester in the farm, it has been estimated production cost and the relative profitability of two wine grape cultivars (Chardonnay … …American Journal of Applied Sciences, Vol. 10, Issue 12 · 18 Oct 2013 · 7,176 accessesView PDFCite
Research ArticleOpen accessIn the keywordsOptimizing Empty Containers Distribution among PortsMohammed A. Hajeeh, Weam BehbehaniProblem statement: Empty containers are an essential part of the logistics of the movement, repositioning and distribution of containers. Optimizing the allocation and transportation of empty containers contributes significantly in reducing cost. Approach: A mathematical model is formulated with the objective of finding an optimal sequence of ships movement among ports in order to satisfy demands at the ports with … …Journal of Mathematics and Statistics, Vol. 7, Issue 3 · 18 Jul 2011 · 7,371 accessesView PDFCite
Research ArticleOpen accessIn the abstractEscalating SVM-Efficiency by Sequential QP LP and Slack Variable AnalysisAmit Kumar Kundu, Rezaul Karim, Ali Ahmed AveSupport Vector Machine (SVM) is a highly attractive algorithm among many machine learning models due to its generalization power and classification performance based on sound mathematical formulation being convex that offers global minimum. However, despite being sparse, its high classification cost from kernel execution with Support Vectors (SVs) reduces the user's interest when there are hard computational constraints in the … …Journal of Computer Science, Vol. 19, Issue 10 · 6 Sep 2023 · 5,913 accessesView PDFCite
Research ArticleOpen accessIn the abstractPolymer Processing and Performance Testing Based on Kruskal Algorithm for Numerical AnalysisYan TangPolymer processing is an injection molding product widely used in communication, medical, and other fields. The processing and forming of polymers involve complex processes, including many parameter controls to ensure the quality of finished products. This study innovatively uses the Kruskal algorithm to conduct numerical analysis on the performance of polymer processing and molding to obtain a scientifically efficient parameter … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 3 · 29 Jul 2024 · 4,270 accessesView PDFCite
Research ArticleOpen accessIn the abstractDecision Making and Predicting the Cost for the Optimal Structural System of Multi-Story BuildingsHosam Elhegazy, Ahmed Ebid, Ibrahim M. Mahdi et al.There are numerous structural lateral systems used in multi-story buildings design such as the shear wall, frame system, framed with core, dual systems and superframes, etc. Additionally, the system of slabs such as (Solid Slab, Flat Slab, Flat plates, Hollow blocks, ... and Waffle Slabs). Generally, the structural systems of multi-story buildings are considered to be different types. Multi-story buildings … …American Journal of Engineering and Applied Sciences, Vol. 14, Issue 2 · 7 Sep 2021 · 6,289 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalysis of Constituents and Bacteriostatic Activity of Essential Oil Extracted from Sea Buckthorn Seeds by Different MethodsHepeng Zhao, Fuyin Zhao, Qian Xiao et al.Sea buckthorn is a homologous plant listed in Chinese pharmacopoeia. The Essential Oils (EOs) of Sea Buckthorn Seeds (SBTS) are widely used in medicine and health products in China, Russia and other countries. The extraction methods of SBTS with advantages of low cost, high yield and high activity have attracted considerable attention. In this study, the extraction rate, chemical compositions … …American Journal of Biochemistry and Biotechnology, Vol. 17, Issue 2 · 4 Jun 2021 · 7,480 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficient Implementation of Stochastic Computing Based Deep Neural Network on Low Cost Hardware with Saturation ArithmeticSunny Bodiwala, Nirali NanavatiThis study presents an efficient and rapid implementation of Stochastic Computing (SC) based Deep Neural Network (DNN) on a low-cost hardware platform. The proposed technique uses bipolar signal encoding in stochastic computing which relatively gives low hardware footprint compared to binary computing. Thereinafter, stochastic max function is presented and subsequently used to approximate the hyperbolic tangent activation function in SC. … …Journal of Computer Science, Vol. 16, Issue 11 · 17 Nov 2020 · 6,875 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimal Components Assignment Problem for Stochastic-Flow NetworksAbdellah Aissou, Abdelhamid Daamouche, Moatamad Refaat HassanComponents assignment problem to maximize the network reliability in the case of each component has both an assignment cost and lead-time is never discussed. Therefore, this paper focuses on solving this problem under the above mentioned constraints. The presented problem is called an Optimal Components Assignment Problem (OCAP) and it is formulated based on three constraints namely total assignment cost, … …Journal of Computer Science, Vol. 15, Issue 1 · 10 Jan 2019 · 7,538 accessesView PDFCite
Case ReportOpen accessIn the abstractQuery Optimization on Distributed Database Dengue Fever by Minimizing Attribute InvolvementSlamet Sudaryanto Nurhendratno, Sudaryanto, Fikri Budiman, Maryani SetyowatiQuery optimization is an important task in a client/server environment of a distributed database, whereas a health epidemiologist data distribution based on DBD data on Geographic Information Systems (GIS). A proper method for a particular query process function is needed to generate query optimization on a distributed database. The query process requires important attention especially in distributed databases because the … …Journal of Computer Science, Vol. 14, Issue 4 · 7 Apr 2018 · 8,327 accessesView PDFCite
Research ArticleOpen accessIn the abstractCost Effective Expa-Max-Min Scientific Workflow Allocation and Load Balancing Strategy in Cloud ComputingJames Kok Konjaang, Fahrul Hakim Ayob, Abdullah MuhammedThe rise in demand for cloud resources (network, hardware and software) requires cost effective scientific workflow scheduling algorithm to reduce cost and balance load of all jobs evenly for a better system throughput. Getting multiple scientific workflows scheduled with a reduced makespan and cost in a dynamic cloud computing environment is an attractive research area which needs more attention. Scheduling … …Journal of Computer Science, Vol. 14, Issue 5 · 13 Jan 2018 · 8,585 accessesView PDFCite