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Research ArticleOpen accessEvery word in the titleEconomic Order Quantity with Linearly Time Dependent Demand Rate and ShortagesR. P. Tripathi, D. Singh, Tushita MishraThis paper presents an inventory model with linearly time dependent rate and shortages under trade credits. We show that the total cost per unit is convex function of time. Some properties have also been discussed based an optimal solution. The results are discussed with the help of numerical examples. Sensitivity analyses with a variety of numerical results showing the effect … …Journal of Mathematics and Statistics, Vol. 11, Issue 1 · 26 Jun 2015 · 7,006 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleU.S. INTRA-STATE GEOGRAPHIC VARIATION IN PSYCHOLOGICAL CHARACTERISTICS AND STATE FISCAL SHORTFALLSWilliam ProvaznikThis study extends on personality literature by examining state level variation of the Big Five Personality traits, per-capita GDP and population on US state budget shortfalls. Through the lens of Wildavsky’s Cultural Theory of Budgeting, this study analyzes state level Big Five personality characteristics and their relationship to budgetary shortfalls. Significant relationships between per-capita GDP, agreeableness, conscientiousness, neuroticism and openness … …American Journal of Economics and Business Administration, Vol. 6, Issue 3 · 8 Dec 2014 · 6,839 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDynamic Route Shortening and Route Repairing Mechanism for Mobile Ad Hoc NetworksS. Revathi, T. R. RangaswamyProblem statement: Ad hoc Networks are wireless networks without any fixed infrastructure. The network topology changes frequently and unpredictably due to the random movement of the nodes. The Ad Hoc on Demand Distant Vector Routing (AODV) protocol works in a dynamic fashion, by establishing a route on demand and continues that route until it breaks. Due to the changing network … …Journal of Computer Science, Vol. 8, Issue 8 · 11 Jul 2012 · 7,068 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleShape 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 · 6,817 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAn Investigation of Using Parallel Genetic Algorithm for Solving the Shortest Path Routing ProblemSalman Yussof, Rina Azlin Razali, Ong Hang SeeProblem statement: Shortest path routing is the type of routing widely used in computer network nowadays. Even though shortest path routing algorithms are well established, other alternative methods may have their own advantages. One such alternative is to use a GA-based routing algorithm. According to previous researches, GA-based routing algorithm has been found to be more scalable and insensitive to … …Journal of Computer Science, Vol. 7, Issue 2 · 25 Feb 2011 · 7,617 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleStrength Pareto Evolutionary Algorithm based Multi-Objective Optimization for Shortest Path Routing Problem in Computer NetworksSubbaraj Potti, Chitra ChinnasamyProblem statement: A new multi-objective approach, Strength Pareto Evolutionary Algorithm (SPEA), is presented in this paper to solve the shortest path routing problem. The routing problem is formulated as a multi-objective mathematical programming problem which attempts to minimize both cost and delay objectives simultaneously. Approach: SPEA handles the shortest path routing problem as a true multi-objective optimization problem with competing … …Journal of Computer Science, Vol. 7, Issue 1 · 16 Dec 2010 · 8,216 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleStatistical Demonstration of Superiority of High-Frequency Short-Tests in Assessment When Teaching Statistics to Enhance Higher Student Pass RatesSolly Matshonisa Seeletse, Tshepo Matsose, Gezani Richman Miyambu, Eunice Lebogang SesaleWhen facilitating learning, quick and small assessments can assist to detect areas that require further reinforcement and also identify students who need extra help in understanding the concepts taught. This paper demonstrates with Statistics, a difficult subject to pass at Higher Education Institution (HEI) level, that when these tests are administered at high frequencies and in large numbers, students are … …American Journal of Applied Sciences, Vol. 14, Issue 9 · 5 Oct 2017 · 7,155 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleCargo Route Optimization Using Shortest Path Algorithms: Runtime and Validity ComparisonDedy Rahman Wijaya, Aqil Athallah, Tiara Nuha Noor’afina et al.The Indonesian logistics industry is facing significant challenges related to inefficiency and irregularity, particularly in the commodity cargo route system. This issue is further exacerbated by the high logistics costs in the country, which currently stands at 23%, higher than that of other countries. To address this issue, this study proposes an implementation and examination of several algorithms Greedy, Best … …Journal of Computer Science, Vol. 19, Issue 11 · 19 Oct 2023 · 6,351 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleComparative Study: Algorithms for Short Message Service ClassificationEvaristus Didik Madyatmadja, Aldi, Fiona Fheren et al.This research aims to classify Short Message Service (SMS) data by applying classification models that have studied SMS data to classify SMS data into SMS spam and SMS ham. The classification model is made from data mining algorithms: Naive Bayes and support vector machine. Before implementing the two algorithms, the SMS data will go through a text preprocessing stage, including … …Journal of Computer Science, Vol. 19, Issue 11 · 29 Sep 2023 · 4,992 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAuthorship Attribution of Short Historical Arabic Texts using Stylometric Features and a KNN Classifier with Limited Training DataFatma Howedi, Masnizah Mohd, Zahra Aborawi Aborawi, Salah A. JowanAuthorship Attribution (AA) is a task that aims to recognize the authorship of unknown texts based on writing style. Out of the various approaches to solve the AA problem, Stylometry is a promising one. This paper explores the use of a K-Nearest Neighbor (KNN) classifier combined with stylometry features to perform AA. This study indicates the robustness of KNN in … …Journal of Computer Science, Vol. 16, Issue 10 · 3 Oct 2020 · 8,190 accessesView PDFCite