• Journal of Digital Convergence
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• v.6 no.2
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• pp.87-95
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• 2008

Information technology is rapidly diffused throughout the world. Unfortunately, as the technology goes on the disabled vocational rehabilitation is more isolated in physically and mentally. A new paradigm, 'Digital practical use Opportunity' is a product of the tremendous technological changes driving the disabled vocational rehabilitation. The employment for the disabled vocational rehabilitation is a hot issue. Because lack of education rehabilitation cause many problems for the employer. Relating program of employment and education for the disabled vocational rehabilitation, they can get a job in a better condition. This study propose a model of good environmental employment for the disabled vocational providing them the way of getting a job so that they can go as a member of highly developed society. It conducted in society could fundamentally advance our knowledge about the structure of the employment of the disabled vocational rehabilitation, cure their feelings, give them a chance to live happier, stronger, healthier.

• Proceedings of the KIPE Conference
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• 2000.07a
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• pp.705-708
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• 2000

Switched Reluctance motors(SRM) attract much attention in motor because they are reliable and inexpensive. With advance in power electronics and high-speed processors the performance of SRM has been enhanced greatly. But they require rotor position information to operate, In many systems rotor position sensors are undesirable and have disadvantages. To overcome the disadvantages include by position sensors a number of sensorless methods for SRM's have been proposed by researchers. This paper describes a method for indirect sensing of rotor position in SRM's pulsewidth modulation voltage control. The method required no priori knowledge of motor parameters excepts for the number of stator and rotor poles. The detection method uses the change of the derivative of the phase current to detect the position.

• International Journal of Safety
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• v.1 no.1
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• pp.1-6
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• 2002

It is important to control the high accurate position and force to prevent unexpected accidents by a robot manipulator. Direct-drive robots are suitable to the position and force control with high accuracy, but it is difficult to design a controller because of the system's nonlinearity and link-interactions. This paper is concerned with the study of the stabilization force control of direct-drive robots. The proposed algorithm is consists of the feedback controllers and the neural networks. After the completion of learning, the outputs of feedback controllers are nearly equal to zero, and the neural networks play an important role in the control system. Therefore, the optimum adjustment of control parameters is unnecessary. In other words, the proposed algorithm does not need any knowledge of the controlled system in advance. The effectiveness of the proposed algorithm is demonstrated by the experiment on the force control of a parallelogram link-type robot.

• Journal of Korean Society for Quality Management
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• v.32 no.4
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• pp.274-285
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• 2004

This study, in particular, studied the consortium-participating companies on their plans of Quality Management as to how they carry them out in order to advance to the first-class business enterprises. These companies' present status and activities under implementation identified and interpreted by this study, therefore, are insufficient to be generalized into knowledge applicable to most of the companies in Gangwon-do. For more precise and detailed results, it is suggested to make further studies that cover not only those consortium companies but also non-consortium manufacturing companies if Gangwon-do.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.21 no.11
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• pp.1819-1826
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• 1997

Direct-drive robots are suitable to the position and force control with high accuracy, but it is difficult to design a controller because of the system's nonlinearity and link-interactions. This paper is concerned with the study of the force control of direct-drive robots. The proposed algorithm consists of feedback controllers and a neural network. After the completion of learning, the output of feedback controller is nearly equal to zero, and the neural network controller plays an important role in the control system. Therefore, the optimum retuning of parameters of feedback controllers is unnecessary. In other words, the proposed algorithm does not require any knowledge of the controlled system in advance. The effectiveness of the proposed algorithm is demonstrated by the experiment on the force control of the parallelogram link-type direct-drive robot.

• Journal of the Korean Society of Clothing and Textiles
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• v.7 no.1
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• pp.17-25
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• 1983

The purpose of this study were to explore specific buying practices of college women and to determine if there were significant differences in shopping patterns between grade level. The participants consisted of 415 college women in grades freshmen through seniors. The data were collected by questionnaires. The statistical analysis of the obtained data included Caculation of the Frenquency Distribution and Chi-Square test. The specific findings of this study were as follows: 1. More than half of the students had purchasing dependence in their clothing purchase. 2. Most of the students planned their clothing purchase in advance, 3. College women interact minimally with sales people. They feel salespeople are not courteous and often dishonest in order to increase sales. They also feel that sales person does not have much knowledge about products. 4. Magazines and store displays affected college students clothing purchases more than other fashion stimulants. 5. Seniors had greater purchashing independence than freshmen. 6. Freshmen considered becoming-ness more important while seniors considered price more important in the selection of clothes.

• Journal of Korea Technology Innovation Society
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• v.1 no.1
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• pp.69-82
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• 1998

As a new medium for knowledge diffusion, E-Journal is expected to be a general type of scholarly communication. However, the techno - economic problems have hindered the advancement of the E-Journal. For the technical aspects, there are problems such as the standardization of document format, automatization of the document preparation, forward and backward link between documents. Also there are necessities for the support of the information infrastructure of digital library and information superhighway. For the economic domain, reengineering of total publishing cycle is considered and the new paradigm of peer review is analyzed. We pointed out that the main difficulties in the diffusion of E-Journal are on the promotion of service and technological advance, not the price and marketing strategy.

• Journal of Computing Science and Engineering
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• v.2 no.3
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• pp.221-248
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• 2008

Data provenance is the background knowledge that enables a piece of data to be interpreted and used correctly within context. The importance of tracking provenance is widely recognized, as witnessed by significant research in various areas including e-science, homeland security, and data warehousing and business intelligence. In order to further advance the research on data provenance, however, one must first understand the research that has been conducted to date and identify specific topics that merit further investigation. In this work, we develop a framework based on semiotics theory to assist in analyzing and comparing existing provenance research at the conceptual level. We provide a detailed review of data provenance research and compare and contrast the research based on d semiotics framework. We conclude with an identification of challenges that will drive future research in this field.

• Proceedings of the Korea Contents Association Conference
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• 2007.11a
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• pp.908-910
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• 2007

As web environment receives web2.0, producer-oriented services are changing user-oriented. This trend is considered the collective intelligence made by users' knowledge. But in contrast with a change of web, structure of current education is composed of educators as producers. Accordingly, it is difficult to reflect needs of educatees who are real users in education system. So we study online education for advance of its environment which is applied to collective intelligence.

• Proceedings of the KIEE Conference
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• 1988.11a
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• pp.455-458
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• 1988

In this paper, a grasping force control of robot hand is presented with consideration of workpiece dynamics. It is difficult to control a manipulator without the knowledge of Its dynamics, because its handling with unknown workpiece may bring about overshoots and vibrations. Then it is necessary to adjust control gains according to the handling workpieces in order to achieve good control performances. The authors propose a new control strategy which uses adaptive observer and VSS (${\underline{V}}ariable$ ${\underline{S}}tructure$ ${\underline{S}}ystem$) controller to subdue these overshoots and vibrations. Some simulations of the proposed method are carried out for a grasping system to control the grasping force to various workpieces, whose dynamics cannot be known in advance.