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Research ArticleOpen accessIn the abstractBuilding Energy Modeling Using Artificial Neural NetworksMaya Arida, Nabil Nassif, Rand Talib, Taher Abu-LebdehAccurate modeling of total building energy is now vital to reduce energy consumption. This is especially true for buildings since they are considered as the largest energy consumer in the United States. This paper investigates modeling methods for building energy-systems using non-linear auto-regression artificial neural networks. The proposed model can forecast the whole building energy consumptions given the four input … …Energy Research Journal, Vol. 7, Issue 2 · 6 Jun 2017 · 7,125 accessesView PDFCite
Research ArticleOpen accessIn the abstractDevelopment of an Android Recognition Open-Loop Tracking Control of Writing Robotic ArmShahriar Rahman Fahim, Sanjay Dey, Md. Rashiduzzaman et al.Writing is one of the medium of the manifestations of the expression which is staged by going through many evolutionary phases for the time being. And most importantly robots and technology are dramatically meliorated in the 21st century. So, robotic writing hand was introduced with the collaboration with human brain and technology. The whole methodology is staged for the development … …Journal of Mechatronics and Robotics, Vol. 3, Issue 1 · 30 Aug 2019 · 6,401 accessesView PDFCite
Research ArticleOpen accessIn the abstractHydrological Forecasting Using Hybrid Data-Driven ApproachYoungmin Seo, Sungwon KimThis study develops a hybrid model, EEMD-FANN, coupling feed Forward Artificial Neural Network (FANN) and Ensemble Empirical Mode Decomposition (EEMD) for improving the accuracy of daily river stage forecasting. An original river stage data is broken down into a residue and Intrinsic Mode Functions (IMFs) using the EEMD and different FANNs are developed as forecasting models for the decomposed IMFs … …American Journal of Applied Sciences, Vol. 13, Issue 8 · 2 Sep 2016 · 8,136 accessesView PDFCite
Research ArticleOpen accessIn the abstractSpatial Analysis and Modeling the Nitrogen Flush after Rainfall Events at the Field Scale in SWATElizabeth Brooke Haney, Richard Lee Haney, Jeffrey George Arnold et al.Current nitrogen (N) models tend to neglect the contribution of the microbial population to the plant available N pool, resulting in an underestimation of yield and possible over or underestimation of N runoff from natural and agricultural landscapes. We used the measurement of microbial activity coupled with the measurement of their food source, water extractable nitrogen (N) and carbon (C), … …American Journal of Environmental Sciences, Vol. 12, Issue 2 · 11 Apr 2016 · 7,228 accessesView PDFCite
Research ArticleOpen accessIn the abstractFactor Affecting Technical Efficiency of Smallholder Rubber Farming in Northeast ThailandS. Poungchompu, S. ChantanopWith the increase of rubber production, Para rubber farmers in Northeastern Thailand have faced the limited physical and socio-economic conditions that have given rise to the improvement of technical efficiency. This study investigated the technical efficiency of Para rubber farmers. A multi-stage random sampling technique was used to collect cross sectional data on 300 farmers. The data was analyzed using … …American Journal of Agricultural and Biological Sciences, Vol. 10, Issue 2 · 24 Jun 2015 · 8,651 accessesView PDFCite
Research ArticleOpen accessIn the abstractSingle Core Hardware Module to Implement Boolean Function Classification TechniquesMohd. Marufuzzaman, Md. Mamun, Fazidah Hanim Hashim, Labonnah F. RahmanProblem statement: Boolean function classification plays an important role in the field like technology mapping for digital circuit design, function mapping for minimization and the development of universal logic modules. Approach: In this study, we present a single core hardware module to implement Boolean function classification techniques on Altera FLEX10K FPGA device for lossless data compression. The compression algorithm was … …American Journal of Applied Sciences, Vol. 8, Issue 11 · 7 Oct 2011 · 7,408 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplication of Geo-Information Technology in the Study of Soil and Nutrients Loss by Water Erosion for three Different Land CoverMushtak T. Jabbar, C. A.I. Chong-Fa, Wang Tian-Wei, Shi Zhi-HuaThis research integrated the Revised Universal Soil Loss Equation (RUSLE) and the soil statistical analysis with RS and GIS techniques to quantify soil and nutrient loss risk. The Letianxi watershed, located in the southwest part of Hubei Province of China was taken as a case. A system was established for rating soil erodibility, slope length/gradient, rainfall erosivity and conservation practices. … …American Journal of Applied Sciences, Vol. 2, Issue 6 · 30 Jun 2005 · 6,790 accessesView PDFCite
Research ArticleOpen accessIn the abstractSoil Degradation Risk Prediction Integrating RUSLE with Geo-information Techniques, the Case of Northern Shaanxi Province in ChinaMushtak T. Jabbar, Xiaoling ChenThis research integrated the Revised Universal Soil Loss Equation (RUSLE) with RS, GIS and GPS techniques to quantify soil erosion risk and the northern part of Shaanxi province in China was taken as a case. A system was established for rating soil erodibility, slope length/gradient, rainfall erosivity and conservation practices. The rating values served as inputs into a modified Revised … …American Journal of Applied Sciences, Vol. 2, Issue 2 · 28 Feb 2005 · 7,050 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Economic Perspective of the Export Potentiality of Aromatic Rice in BangladeshRiffat Ara Zannat Tama, Aurup Ratan Dhar, Ismat Ara BegumThe study was conducted to assess the export potential of aromatic rice in Bangladesh as well as identify the factors affecting gross return from aromatic rice production. About 45 aromatic rice farms were selected from five villages of Dinajpur district using stratified sampling method for the study. Data were analyzed with a combination of descriptive statistics, mathematical and statistical techniques. … …American Journal of Economics and Business Administration, Vol. 10, Issue 1 · 12 Jul 2018 · 8,241 accessesView PDFCite
Research ArticleOpen accessIn the abstractImpact of Microfinance on the Efficiency of Maize Producers in NigeriaMuhammad Auwal Ahmed, Zainalabidin Mohamed, Abdullahi Iliyasu, Golnaz RezaiThe study applies descriptive analysis, Slacks-Based Measure (SBM) of efficiency model and fractional regression model to data collected in 2016 using cross-sectional survey of maize producers in Nigeria. The purpose was to determine the impact of microfinance on the technical efficiency of maize producers and evaluates factors that influence inefficiency among credit beneficiaries and non-credit beneficiaries. Results show that the … …American Journal of Applied Sciences, Vol. 14, Issue 5 · 30 May 2017 · 7,666 accessesView PDFCite