The Experts below are selected from a list of 20631 Experts worldwide ranked by ideXlab platform
Shun-chung Wang - One of the best experts on this subject based on the ideXlab platform.
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software reconfigurable e Learning Platform for power electronics courses
IEEE Transactions on Industrial Electronics, 2008Co-Authors: Shun-chung WangAbstract:An effective course in power electronics should ideally contain hands-on design and experimental work as well as theory explanation and simulations. In this paper, a software- reconfigurable e-Learning Platform for power electronics courses is proposed. The aim of the proposed system is to realize a Platform capable of constructing a wide range of circuit topologies and control techniques, thus enabling students to gain a better understanding of power electronics converters through practical experiments. The proposed Platform consists of a reconfigurable power electronics testbed, a Web-based distance laboratory, and a user interactive e-Learning Platform. The reconfigurable power electronics testbed can be configured by the students via a Web- based interface to construct a wide variety of converters and inverters. The Internet accessible distance laboratory system permits the instructors and students to remotely conduct experiments over the Internet. The integrated interactive multimedia material can support the educational environment of power electronics courses and can be executed on any modern personal computer (PC) without additional hardware. The advantages of the proposed Platform include flexibility, friendly user interface, allow for distance waveform measurements, and removal of laboratory time and space constraints. The positive response from students indicates that the proposed Platform is extremely useful for power electronics courses.
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Web-based software programmable e-Learning Platform for power electronics courses
2008 38th Annual Frontiers in Education Conference, 2008Co-Authors: Shun-chung Wang, Yih Chien Chen, Juing Huei Su, Wei-sibge LiawAbstract:This paper presents a Web-based Learning Platform for power electronics courses. The proposed Platform consists of a software reconfigurable power electronics testbed, a Web-based distance laboratory and an interactive e-Learning Platform. The reconfigurable power electronics testbed can be configured by the student via a Web-based interface. The Internet accessible distance laboratory system permits the instructors and students to remotely conduct experiments over the Internet. The integrated interactive multimedia material can assist to the educational environment of power electronics courses. The advantages of the proposed Platform include flexibility, friendly user interface, provision for distance waveform measurements and removal of laboratory time and space constraint. Positive response from students indicates that the presented Platform is extremely useful for power electronics courses.
Jiman Hong - One of the best experts on this subject based on the ideXlab platform.
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Autonomic machine Learning Platform
International Journal of Information Management, 2019Co-Authors: Keon Myung Lee, Sang-wook Kim, Jee-hyong Lee, Jae-soo Yoo, Jiman HongAbstract:Abstract Acquiring information properly through machine Learning requires familiarity with the available algorithms and understanding how they work and how to address the given problem in the best possible way. However, even for machine-Learning experts in specific industrial fields, in order to predict and acquire information properly in different industrial fields, it is necessary to attempt several instances of trial and error to succeed with the application of machine Learning. For non-experts, it is much more difficult to make accurate predictions through machine Learning. In this paper, we propose an autonomic machine Learning Platform which provides the decision factors to be made during the developing of machine Learning applications. In the proposed autonomic machine Learning Platform, machine Learning processes are automated based on the specification of autonomic levels. This autonomic machine Learning Platform can be used to derive a high-quality Learning result by minimizing experts’ interventions and reducing the number of design selections that require expert knowledge and intuition. We also demonstrate that the proposed autonomic machine Learning Platform is suitable for smart cities which typically require considerable amounts of security sensitive information.
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SAC - An efficient deep Learning Platform for detecting objects
Proceedings of the 34th ACM SIGAPP Symposium on Applied Computing - SAC '19, 2019Co-Authors: Hansol Lee, Younggwan Kim, Juw Won Park, Sung Y. Shin, Jiman HongAbstract:Real-time object detection models based on deep Learning are being studied. However, when using deep Learning, the user must directly select one of the various object detection models, and the result of object detection may vary depending on the selected object detection model. Therefore, in this paper, we propose an efficient deep Learning Platform for object detection technology. The proposed Platform estimates Learning results based on benchmark results and recommends proper object detection model based on deep Learning to minimizes user intervention.
Karl-heinz Lüke - One of the best experts on this subject based on the ideXlab platform.
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Centralized student Learning Platform
2015 15th International Conference on Innovations for Community Services (I4CS), 2015Co-Authors: Gerald Eichler, Christian Erfurth, Karl-heinz LükeAbstract:How does a future centralized Learning Platform for students in an academic environment look like? What are the needs and requirements for current and potential academic users? Are Facebook, WhatsApp and Dropbox the winners? Which recommendations can be worked out for a suitable IT landscape and how does an integrated data security concept look like? This paper analyses the needs and requirements for a centralized Learning Platform from a students' point of view.
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I4CS - Centralized student Learning Platform
2015 15th International Conference on Innovations for Community Services (I4CS), 2015Co-Authors: Gerald Eichler, Christian Erfurth, Karl-heinz LükeAbstract:How does a future centralized Learning Platform for students in an academic environment look like? What are the needs and requirements for current and potential academic users? Are Facebook, WhatsApp and Dropbox the winners? Which recommendations can be worked out for a suitable IT landscape and how does an integrated data security concept look like? This paper analyses the needs and requirements for a centralized Learning Platform from a students’ point of view.
Yang Du - One of the best experts on this subject based on the ideXlab platform.
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Study on the Learning Evaluation of Web-Based Learning Platform
Advances in Intelligent and Soft Computing, 2020Co-Authors: Kejin Xu, Yang DuAbstract:Network bring further study and further increase opportunities for people to build up a Platform for Learning. Learning Platform is an open, equitable and other characteristics; learners learn to use e-Learning Platform, showing the individual, collaboration and unstructured features. I start from these features, combined with study and evaluation made of the current web-based Learning Platform for Learning evaluation there are some problems. This Learning Platform for Learning to re-evaluate the content of the building, including the evaluation of the Learning environment, Learning methods and assessment of Learning styles, Learning attitude and emotional evaluation of network resources utilization of the evaluation.
Gerald Eichler - One of the best experts on this subject based on the ideXlab platform.
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Centralized student Learning Platform
2015 15th International Conference on Innovations for Community Services (I4CS), 2015Co-Authors: Gerald Eichler, Christian Erfurth, Karl-heinz LükeAbstract:How does a future centralized Learning Platform for students in an academic environment look like? What are the needs and requirements for current and potential academic users? Are Facebook, WhatsApp and Dropbox the winners? Which recommendations can be worked out for a suitable IT landscape and how does an integrated data security concept look like? This paper analyses the needs and requirements for a centralized Learning Platform from a students' point of view.
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I4CS - Centralized student Learning Platform
2015 15th International Conference on Innovations for Community Services (I4CS), 2015Co-Authors: Gerald Eichler, Christian Erfurth, Karl-heinz LükeAbstract:How does a future centralized Learning Platform for students in an academic environment look like? What are the needs and requirements for current and potential academic users? Are Facebook, WhatsApp and Dropbox the winners? Which recommendations can be worked out for a suitable IT landscape and how does an integrated data security concept look like? This paper analyses the needs and requirements for a centralized Learning Platform from a students’ point of view.
