Research ArticleOpen accessIn the abstractOR/MS Applications in Mt. Merapi Disaster ManagementAmril Aman, Toni Bakhtiar, Farida Hanum, Prapto Tri SupriyoProblem statement: Much of researches on the management of disaster deal with their social aspects such as sociological and psychological effects on communities. Recently there had been a growing credit of the demand for application of the operational research and management science matters in disaster management. This approach commonly utilizes decision theory, dynamical system and optimization technique to minimize the … …Journal of Mathematics and Statistics, Vol. 8, Issue 2 · 19 Jun 2012 · 7,039 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Role of CO2 Emission in Energy Demand and SupplyMd. Azizul Bari, Joy Jacqueline Pereira, Rawshan Ara Begum et al.Problem statement: During the last few years in Malaysia, the amount of Carbon Dioxide (CO2) released into the atmosphere has been rising extensively. The main source of CO2 is power source of automobile and industry that are contributing the main role for these CO2 emissions. But these sectors are also very important for economic growth and developments. The aim of … …American Journal of Applied Sciences, Vol. 9, Issue 5 · 22 Feb 2012 · 7,063 accessesView PDFCite
Research ArticleOpen accessIn the abstractA 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 · 7,396 accessesView PDFCite
Research ArticleOpen accessIn the abstractForecasting Gold Prices Using Multiple Linear Regression MethodZ. Ismail, A. Yahya, A. ShabriProblem statement: Forecasting is a function in management to assist decision making. It is also described as the process of estimation in unknown future situations. In a more general term it is commonly known as prediction which refers to estimation of time series or longitudinal type data. Gold is a precious yellow commodity once used as money. It was made … …American Journal of Applied Sciences, Vol. 6, Issue 8 · 31 Aug 2009 · 11,099 accessesView PDFCite
Research ArticleOpen accessIn the abstractExamination of Laminated Glass with Stiff Interlayers – Numerical and Experimental ResearchJulian Hänig, Paulina Bukieda, Michael Engelmann et al.Glass is a linear-elastic and isotropic building material which allows for a quick calculation of internal forces and stress in the design stage. However, in safety applications, e.g. overhead glazing or balustrades, it is made into laminated glass using plastic interlayers. Their material properties change over time and are temperature-dependent. Additionally, larger spans and the demand to reduce the amount … …International Journal of Structural Glass and Advanced Materials Research, Vol. 3, Issue 1 · 25 Jan 2019 · 13,567 accessesView PDFCite
Review ArticleOpen accessIn the abstractAn Overview of Concentrating Photovoltaic Thermal (CPVT) CollectorsReza Danesh Azarian, Erdem Cuce, Pinar Mert CuceConcentrating Photovoltaic Thermal Collectors (CPVT) are in the centre of interest among solar collectors. CPVT collectors’ features such as high efficiency and multi-output stimulate researchers and industry partners to focus on this technology. Innovative design is the key point in achieving an efficient collector. In this study, a comprehensive research is conducted on the state-of-the-art developments in CPVT collectors covering … …Energy Research Journal, Vol. 8, Issue 1 · 7 Jul 2017 · 8,319 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 · 5,917 accessesView PDFCite
EditorialOpen accessIn the abstractData Mining in Time Series: Current Study and Future TrendTan Yan, Liudmila Ulanova, Ye Ouyang, Fengyuan XuTime series represent sequences of data points where usually their order is defined by the time when they were recorded. Thus, virtually any sequential recordings can be stored as time series: Stock prices, weather conditions, physical system parameters change, product quality monitoring, etc. This leads to ubiquity of time series in all scientific and practical fields (Esling and Agon, 2012); … …Journal of Computer Science, Vol. 10, Issue 12 · 26 Jan 2015 · 8,762 accessesView PDFCite