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1,202 results for “E-learning”

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Research ArticleOpen accessIn the abstractCreating and Developing a Service Network of Stage Costume Business in Isan CommunityOurarom Chantamala, Suphanni Luaboonchu, Terdchai PantachiProblem statement: A lot of stage costume businesses in Isan community (northeast community of Thailand) cannot expand their business into larger scales because the owners mange everything by themselves so it cause a lot of difficulties such as a lack of low cost stage costume sources. Approach: This research aimed to examine 3 points. First, to examine the background of … …Journal of Social Sciences, Vol. 5, Issue 4 · 31 Dec 2009 · 7,479 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Organization of Cultural Tourism by the Community People in the Region of Toong Kula Rong HaiAmkha Saeng-Ngam, Songkoon Chantachon, Prasopsuk RitthidetProblem statement: The real concern of this study was relevant to the issue of how to encourage Toong Kula Rong Hai to become one of the tourists’ attractions distinctively focusing on organic agriculture and cultural tourism. Approach: This was a Qualitative case study conducted in the Koo-Kaa-Sing village, Koo-Kaa-Sing sub-district, Ka-Sate-Wisai district, Roi Et province, geographically recognized as part of … …Journal of Social Sciences, Vol. 5, Issue 4 · 31 Dec 2009 · 7,580 accessesView PDFCite
Research ArticleOpen accessIn the abstractContour Following Task with Dual Sensor Logic Algorithm for Adept Selective Compliant Assembly Robot Arm RobotAnton Satria Prabuwono, Samsi Md. Said, Riza Sulaiman, Elankovan SundararajanProblem statement: The capability of performing autonomously a contour following task of a shape object is required for an industrial robot manipulator. These tasks include welding, sealing, grinding, painting and many more. These applications are very tedious and time consuming if done by manual contour following system. Approach: This study proposed the development of dual sensor logic algorithm for contour … …Journal of Computer Science, Vol. 5, Issue 8 · 31 Dec 2009 · 6,751 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimal Thyristor Control Series Capacitor Neuro-Controller for Damping OscillationsM. Magaji, M. W. MustafaThis study applies a neural-network-based optimal TCSC controller for damping oscillations. Optimal neural network controller is related to model-reference adaptive control, the network controller is developed based on the recursive "pseudo-linear regression". Problem statement: The optimal NN controller is designed to damp out the low frequency local and inter-area oscillations of the large power system. Approach: Two multilayer-perceptron neural networks … …Journal of Computer Science, Vol. 5, Issue 12 · 31 Dec 2009 · 7,283 accessesView PDFCite
Research ArticleOpen accessIn the abstractChange Detection Using Neural Network with Improvement Factor in Satellite ImagesM. A. Fkirin, S. M. Badwai, Sayed A. MohamedProblem statement: The aim of this study is to investigate the applicability of using the neural network techniques in change detection of remotely sensed data. Approach: In addition, the tuning parameters of the network, such as encoding the output classes, adding the momentum term and learning rate, are investigated in order to achieve best network performance. Results: Neural network-based change … …American Journal of Environmental Sciences, Vol. 5, Issue 6 · 31 Dec 2009 · 6,650 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntrusion Preventing System using Intrusion Detection System Decision Tree Data MiningSyurahbil, Noraziah Ahmad, M. Fadly Zolkipli, Ahmed N. AbdallaProblem statement: To distinguish the activities of the network traffic that the intrusion and normal is very difficult and to need much time consuming. An analyst must review all the data that large and wide to find the sequence of intrusion on the network connection. Therefore, it needs a way that can detect network intrusion to reflect the current network … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 4 · 31 Dec 2009 · 7,341 accessesView PDFCite
Research ArticleOpen accessIn the abstractBoosting Kernel Discriminative Common Vectors for Face RecognitionC. Lakshmi, M. PonnavaikkoProblem statement: Kernel discriminative common vector (KDCV) was one of the most effective non-linear techniques for feature extraction from high dimensional data including images and text data. Approach: This study presented a new algorithm called Boosting Kernel Discriminative Common Vector (BKDCV) to further improve the overall performance of KDCV by integrating the boosting and KDCV techniques. Results: In BKDCV, the … …Journal of Computer Science, Vol. 5, Issue 11 · 30 Nov 2009 · 6,579 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Social Capital of the Silver Ornaments in Northeastern, ThailandWarit Witsrutwait, Songkhoon Chantachon, Penchan Kriengkrisuk et al.Problem statement: The silver ornaments is the well known handicraft for Chum Chon Ban Choke, Tambon Khawao Sinrin, Amphoe Khawao Sinrin and Surin province. The study of social capital concerning silver ornaments at Ban Choke community, the Khmer ethnic focused on the low quality of the making the silver ornaments. The silver craftsmen earned less income because the capital productions … …Journal of Social Sciences, Vol. 5, Issue 3 · 30 Sep 2009 · 8,083 accessesView PDFCite
Research ArticleOpen accessIn the abstractForecasting Peak Load Electricity Demand Using Statistics and Rule Based ApproachZ. Ismail, A. Yahya, K. A. MahpolProblem statement: Forecasting of electricity load demand is an essential activity and an important function in power system planning and development. It is a prerequisite to power system expansion planning as the world of electricity is dominated by substantial lead times between decision making and its implementation. The importance of demand forecasting needs to be emphasized at all level as … …American Journal of Applied Sciences, Vol. 6, Issue 8 · 31 Aug 2009 · 7,943 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Approach to Improve the State Scalability of Source Specific MulticastS. A. Al-Talib, B. M. Ali, S. KhatunProblem statement: Source Specific Multicast (SSM) is an acceptable solution for current multicast applications; since the driving applications to date are one to many, including Internet TV, distance learning, file distribution and streaming media. Approach: It was useful for billing, address allocation and security. SSM still had serious state scalability problem when there were a large number of simultaneous on-going … …American Journal of Applied Sciences, Vol. 6, Issue 7 · 31 Jul 2009 · 6,824 accessesView PDFCite