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Research ArticleOpen accessIn the abstractAn Approach to the Model use for Measuring Suspended Sediment Yield in Ungauged CatchmentsSokchhay Heng, Tadashi SuetsugiDifferent types of water resources studies require the information of Suspended Sediment Yield (SSY) in different time resolutions. In ungauged watersheds where hydrometeorogical time series are not available, the mean annual SSY (SSYa) is solely predictable and catchment area is traditionally used as the predictor because it is the most important variable and generally determined during project planning. Firstly, this … …American Journal of Environmental Sciences, Vol. 9, Issue 4 · 11 Sep 2013 · 6,995 accessesView PDFCite
Research ArticleOpen accessIn the abstractFlattening Effect on Heat Transfer Characteristics of a Sintered-Wick Heat PipeWeeranut Intagun, Pradit Terdtoon, Phurt SakulchangsatjataiThe effect of pipe flattening on heat transfer characteristics and the internal phenomena of a sintered-wick heat pipe has been investigated by using three-dimensional Finite Element Method. The calculation domains were focused at three important regions, i.e., vapor core, wick and wall. The Cartesian coordinates and the three-dimensional tetrahedral elements were applied in this model. The selected total elements were … …American Journal of Applied Sciences, Vol. 10, Issue 7 · 4 Jul 2013 · 7,348 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Drives and Control Integrated Time-Domain Dynamic Analysis and Modeling Approach Applied To Ultra-Precision Machine ToolsTianjian Li, Shijin Chen, Haijun Zhang, Kai ChengProblem statement: Machines dynamic performance depends not only upon the mechanical structure and components but also the drives and control system. However, the design of the machines is still at the nascent stage by working on an individual machine basis, hence lacks generic scientific approach and design guideline. Approach: Using computer models integrated drives and control system to predict the … …Current Research in Nanotechnology, Vol. 2, Issue 1 · 29 Jul 2011 · 8,094 accessesView PDFCite
Research ArticleOpen accessIn the abstractIdentification of Characteristics of Land Cover in Mangkauk Catchment Area Using Support Vector Machine (SVM) And Artificial Neural Network (ANN)Ichsan Ridwan, Mohammad Bisri, Fadly Hairannoor Yusran et al.Land cover is anything that includes any types of appearance on the surface of the earth on a particular land. Information related to land cover can be used as at the parameter to determine the amount of runoff in a catchment area. This study was conducted in the Catchment Area (CA) of Mangkauk using Landsat 8 OLI/TIRS 2014 scene path/row … …American Journal of Applied Sciences, Vol. 14, Issue 7 · 21 Jul 2017 · 7,660 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredicting Risk of Diabetes using a Model based on Multilayer Perceptron and Features ExtractionFrancesca Fallucchi, Alessandro CabroniDiabetes (diabetes mellitus) is a disease emerging when a person has a high blood sugar level for a prolonged period. In the healthcare context, one of the most important topic is the prevention of the disease. This study relates to diabetes prevention. In particular, it aims to produce random generated datasets according to a rule named Finnish Diabetes Risk Score … …Journal of Computer Science, Vol. 17, Issue 9 · 7 Sep 2021 · 6,588 accessesView PDFCite
Research ArticleOpen accessIn the abstractFace Verification for Person Re-Identification from Surveillance Camera and Drone-based VideosVimala Mathew, K. Ramesh, Tom Toby, Anu Mary ChackoPerson re-identification in surveillance camera videos is attracting widespread interest due to its increasing number of applications. It is being applied in the field of security, healthcare, product manufacturing, product sales and more. Though there are a variety of methods to do person re-identification, face verification-based methods are very much effective. In this study, a deep learning framework to perform … …Journal of Computer Science, Vol. 17, Issue 7 · 28 Jul 2021 · 7,322 accessesView PDFCite
Research ArticleOpen accessIn the abstractRisk Prediction with Regression in Global Software Development using Machine Learning Approach: A Comparison of Linear and Decision Tree RegressionAsim Iftikhar, Shahrulniza Musa, Muhammad Alam et al.Software development through teams at different geographical locations is a trend of modern era, which is not only producing good results without costing lot of money, but also productive in relation to its cost with low risk and high return. This shift of perception of working in a group rather than alone is getting stronger day by day and has … …Journal of Computer Science, Vol. 17, Issue 2 · 3 Mar 2021 · 7,370 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredicting Missing Attribute Values Using k-Means ClusteringNambiraj Suguna, Keppana Gowder ThanushkodiProblem statement: Predicting the value for missing attributes is an important data preprocessing problem in data mining and knowledge discovery tasks. Several methods have been proposed to treat missing data and the one used more frequently is deleting instances containing at least one missing value of a feature. When the dataset has minimum number of missing attribute values then we … …Journal of Computer Science, Vol. 7, Issue 2 · 25 Feb 2011 · 7,876 accessesView PDFCite
Research ArticleOpen accessIn the abstractForecasting Daily Demand in Cash Supply ChainsMichael WagnerProblem statement: Previous studies focused on explaining the long run determinants of currency demand offering limited insight into the short-run determinants and co-variability of daily demand in cash supply chains. Approach: This study contrasted competing techniques of forecasting daily demand in cash supply chains in order to determine the overall performance and the potential of joint forecasting for integrated planning. … …American Journal of Economics and Business Administration, Vol. 2, Issue 4 · 28 Nov 2010 · 7,743 accessesView PDFCite
Research ArticleOpen accessIn the abstractSensorization of Robotic Hand Using Optical Three-Axis Tactile Sensor: Evaluation with Grasping and Twisting MotionsHanafiah Yussof, Jiro Wada, Masahiro OhkaProblem statement: Sensitization of robot hand is still remaining as crucial issue since most of robot hand systems nowadays are only capable to grasp a predefined specific object. It is still difficult for robot hand system to realize human-like tactile sensation. Some common problems in robot hand system are low accuracy sensing device, sensors are not robust enough for long … …Journal of Computer Science, Vol. 6, Issue 8 · 31 Aug 2010 · 7,851 accessesView PDFCite