• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2010년도 추계학술대회 논문집
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• pp.1011-1012
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• 2010

• 로봇학회논문지
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• 제12권2호
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• pp.124-131
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• 2017

This paper present a novel approach to control the lower body power assistive exoskeleton system of a HEXAR-CR35 aimed at improving a muscular strength. More specifically the control of based on the human intention is crucial of importance to ensure intuitive and dexterous motion with the human. In this contribution, we proposed the detection algorithm of the human intention using the MCRS which are developed to measure the contraction of the muscle with variation of the circumference. The proposed algorithm provides a joint motion of exoskeleton corresponding the relate muscles. The main advantages of the algorithm are its simplicity, computational efficiency to control one joint of the HEXAR-CR35 which are consisted knee-active type exoskeleton (the other joints are consisted with the passive or quasi-passive joints that can be arranged by analyzing of the human joint functions). As a consequence, the motion of exoskeleton is generated according to the gait phase: swing and stance phase which are determined by the foot insole sensors. The experimental evaluation of the proposed algorithm is achieved in walking with the exoskeleton while carrying the external mass in the back side.

• 한국IT서비스학회지
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• 제7권2호
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• pp.149-164
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• 2008

As the computing landscape is shifting to ubiquitous computing environments, there is increasingly growing the demand for a variety of device controls that react to user's implicit activities without excessively drawing user attentions. We developed an EMG-based car interface that enables the physically handicapped to drive a car using their functioning peripheral nerves. Our method extracts electromyogram signals caused by wrist movements from four places in the user's forearm and then infers the user's intent from the signals using multi-layered neural nets. By doing so, it makes it possible for the user to control the operation of car equipments and thus to drive the car. It also allows the user to enter inputs into the embedded computer through a user interface like an instrument LCD panel. We validated the effectiveness of our method through experimental use in a car built with the EMG-based interface.

• Journal of Mechanical Science and Technology
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• 제20권11호
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• pp.1863-1872
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• 2006

In FMS (Flexible Manufacturing System) and CIM (Computer Integrated Manufacturing), machine-tools have been the target of integration in the last three decades. The conventional concept of integration is being changed into the autonomous manufacturing device based on the knowledge evolution by applying advanced information technology in which an open architecture controller, high-speed network and internet technology are included. In the advanced environment, the machine-tools is not the target of integration anymore, but has been the key subject of cooperation. In the near future, machine-tools will be more improved in the form of a knowledge-evolutionary intelligent device. The final goal of this study is to develop an intelligent machine having knowledge-evolution capability and a management system based on internet operability. The knowledge-evolutionary intelligent machine-tools is expected to gather knowledge autonomically, by producing knowledge, understanding knowledge, reasoning knowledge, making a new decision, dialoguing with other machines, etc. The concept of the knowledge-evolutionary intelligent machine is originated from the machine control being operated by human experts' sense, dialogue and decision. The structure of knowledge evolution in M2M (Machine to Machine) and the scheme for a dialogue agent among agent-based modules such as a sensory agent, a dialogue agent and an expert system (decision support agent) are presented in this paper, with intent to develop the knowledge-evolutionary machine-tools. The dialogue agent functions as an interface for inter-machine cooperation. To design the dialogue agent module in an M2M environment, FIPA (Foundation of Intelligent Physical Agent) standard platform and the ping agent based on FIPA are analyzed in this study. In addition, the dialogue agent is designed and applied to recommend cutting conditions and thermal error compensation in a tapping machine. The knowledge-evolutionary machine-tools are expected easily implemented on the basis of this study and shows a good assistance to sensory and decision support agents.

• 한국인터넷방송통신학회논문지
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• 제16권6호
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• pp.243-253
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• 2016

기업들은 중요한 지적 자산을 보호하고, 개인정보 유출과 같은 보안 사고를 예방을 위하여, 사내 보안 활동을 강화 하고 있다. 하지만, 이로 인한 구성원들의 보안스트레스는 점점 증가하고 있으며, 내부자에 의한 보안사고도 지속적으로 발생하고 있는 현실이다. 그리고 기업 내 다양한 정보보안 상황과 활동에 따라 통제수용자가 실제 인지하는 보안 스트레스 강도에도 차이가 있을 것으로 예상된다. 따라서 본 연구에서는 다양한 분야에서 인간의 행동결정을 설명하는데 많이 이용되고 있는 합리적 행동이론, 계획된 행동이론, 일반 억제이론 등을 정보보안 분야에 접목한 기존 연구의 이론적 고찰을 통해, 기업에서 시행되고 있는 다양한 보안정책 및 보안활동으로부터 인지된 조직 구성원의 보안정책 특성요인을 탐색적 연구를 통해 분석하고, 이러한 특성요인을 독립변수로 하여, 이들 변수들과 조직 구성원이 체감하는 보안스트레스와의 인과관계를 다중 회귀분석을 통해 설명하고, 궁극적으로는 통제수용자의 인지된 보안스트레스가 통제수용자의 보안준수행동의도에 미치는 영향에 대한 인과관계를 설명하고자 금융회사 조직 구성원을 대상으로 실증분석을 하고자 한다.