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79 results for “dependent variable”
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Research ArticleOpen accessEvery word in the titleA Key Dependent Encryption Algorithm Based on Multiple Bitwise-Shuffling and XOR Variable-Length PartitionsAbdelfatah Aref TamimiThis new algorithm employs shuffling procedures combined with variable-length key-dependent XOR and S-box substitutions to perform lossless image encryption. This algorithm was implemented and tested by performing different permutations of shuffling, XOR encryption and S-box substitution. Empirical analysis using different types of test images of different sizes showed that this new algorithm is effective and resistant to statistical attacks. The … …Journal of Computer Science, Vol. 12, Issue 2 · 26 Mar 2016 · 7,679 accessesView PDFCite
Research ArticleOpen accessIn the keywordsRevenue Determinants in Tourism MarketMohammad Mohebi, Khalid Abdul RahimProblem statement: Malaysian tourism industry has been growing considerably in recent years. The number of tourist arrivals has grown by 25% during 2006-2008. In comparison with Thailand and Singapore, Malaysia has more tourist arrivals but it has earned less income. The purpose of the study was to determine the major factors affecting inbound tourism expenditure in Malaysia. Approach: A panel … …American Journal of Applied Sciences, Vol. 7, Issue 12 · 31 Dec 2010 · 8,185 accessesView PDFCite
Research ArticleOpen accessIn the keywordsInventory Models with Power Demand and Inventory-Induced Demand with Holding Cost FunctionsRakesh Prakash Tripathi, Sarla Pareek, Manjit KaurIn real life customers are motivated to buy more if there is more availability of product. In this study, we develop inventory model for inventory dependent demand with different holding cost function. Mathematical formulations are discussed for two situations i.e., power demand rate with inventory dependent holding cost functions and inventory-induced demand rate with time and inventory dependent holding cost … …American Journal of Applied Sciences, Vol. 14, Issue 6 · 6 Apr 2017 · 7,542 accessesView PDFCite
Research ArticleOpen accessIn the keywordsVariable Viscosity, Chemical Reaction and Thermal Stratification Effects on Mixed Convection Heat and Mass Transfer along a Semi-Infinite Vertical PlateP. Geetha, M.B.K. MoorthyProblem statement: In this research the researchers studied and made an analysis to the heat and mass transfer characteristics in a viscous fluid over a semi-infinite vertical porous plate by taking into account the variable viscosity, chemical reaction and thermal stratification effects. Approach: The governing partial differential equations were transformed into a set of coupled non-linear ordinary differential equations, which … …American Journal of Applied Sciences, Vol. 8, Issue 6 · 13 Jun 2011 · 6,848 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Stock Dependent Economic Order Quantity Model for Perishable Items Under Inflationary ConditionsSingh Sarbjit, Singh Shiv RajProblem statement: In most of the earlier inventory models, effect of inflation has been ignored, which is playing pilot role in present environment. In this article, we have proposed an economic order quantity model for deteriorating items having stock dependent demand (whose demand varies with the stock) under the effect of inflation. Approach: Firstly, problem is framed in the form … …American Journal of Economics and Business Administration, Vol. 2, Issue 3 · 30 Sep 2010 · 7,387 accessesView PDFCite
Research ArticleOpen accessIn the keywordsReal Option Method and Escalation of Commitment in the Evaluation of Investment ProjectsMehrdad Karami, Farshid Ahmadi FarsaniProblem statement: This study applies an experimental method to find out whether using the real option method along with the discounted cash flow techniques can reduce the decision-makers’ Escalation of Commitment (EC hereafter) or their desire to keep up their commitment to a failed project. Approach: The real option method used for the evaluation of long-term projects also measures the … …American Journal of Economics and Business Administration, Vol. 3, Issue 3 · 19 Sep 2011 · 7,389 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeterminants of Household Saving Using Linear Regression Model. Evidence in Italian RegionsDomenica Federico, Antonella Notte, Angela Coscarelli, Maria Anastasia ArcuriHousehold saving decisions have always attracted the attention of researchers and policymakers. In fact, an increase in savings increases investments and this is reflected in an improvement in the standard of living of householders. Therefore, the focus of this article is on the determinants of household saving decisions in Italian regions. The savings of Italian families are represented by the … …American Journal of Economics and Business Administration, Vol. 16, Issue 1 · 30 Apr 2024 · 9,264 accessesView PDFCite
Research ArticleOpen accessIn the abstractq-Deformed Statistics from Position-Dependent Mass Schrödinger EquationaJesus Morales Rivas, Jose Juan Peña Gil, J. García RaveloAn algebraic approach is used to obtain the canonical form of the position-dependent mass Schrödinger equation from where a couple of canonical quantum variables, the q-deformed operators for the position xq, and the hermitian linear momentum operator pq are derived. In this q-deformed coordinate space, the commutator remains invariant namely [xq, pq] = iħ. By taking advantage of these q-deformed … …Journal of Mathematics and Statistics, Vol. 19, Issue 1 · 15 Sep 2023 · 5,191 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluation of Surface Drag Interval in the Variable SituationsParisa Ashrafi, Amir Hossein Ashrafi, Hossein Gholami et al.Tools applied in different fields of engineering are artificial neural networks to model non-linear systems which are efficient and useful. Artificial neural networks consist of input and output layers with one or more hidden layers between them. In fact, one or more processing elements or neurons are used in each layer. Input layer neurons are the independent variables studied and … …American Journal of Engineering and Applied Sciences, Vol. 15, Issue 1 · 12 Mar 2022 · 6,001 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparison of Multiple Linear Regression and Neural Network Models in Bank Performance Prediction in BotswanaHassan Kablay, Victor GumboBank performance is critical to the banking sector and the economy as a whole. In this study, Multiple Linear Regression (MLR) technique and feed forward Neural Network (NN) are used to predict the performance of 11 banks in Botswana. Return on Assets (RoA) is used as the dependent variable, while management quality, credit risk, liquidity, financial leverage and capital adequacy … …Journal of Mathematics and Statistics, Vol. 17, Issue 1 · 10 Jan 2022 · 6,465 accessesView PDFCite