• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.230-236
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• 2009

Double-front construction machinery, which was designed for complicated tasks, requires intelligent systems that can provide the quantitative work analysis needed to determine effective work procedures and that can provide operational and cognitive support for operators. Construction work environments are extremely complicated, however, and this makes state identification difficult. We therefore defined primitive static states (PSS) that are determined using on-off data for the lever inputs and manipulator loads for each part of the grapple and front and that are completely independent of the various environmental conditions and operator skill levels. To confirm the usefulness of PSS, we performed experiments with a demolition task by using our virtual reality simulator. We confirmed that PSS could robustly and accurately identify the work states and that untrained skills could be easily inferred from the PSS-based work analysis. We also confirmed in skill-training experiments that advice information using PSS-based skill analysis greatly improved work performance. We thus confirmed that PSS can adequately identify work states and are useful for work analysis and skill improvement.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1990년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 26-27 Oct. 1990
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• pp.186-189
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• 1990

The automization of manufacturing lines may be accomplished by replacing the human operator with computer system. This paper describes an idea to fully automize the razor qrinding process. Now, in this system, to control the process, human operator must estimate the qrinded states and control the grinding machine continuously. We propose two methods to automize this process by using CMAC memory. One is about learning expert-rules without direct communication with operator. And the other is complete self-learning method based on CMAC's learning algorithm. These ideas may be applied for another manufacturing processes.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.161.2-161
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• 2001

To achieve a cooperative work between human and robot, it is thought helpful to estimate the states of human mind, which originates his behavior. In this paper, human mind was considered to modify instinctive desires according to the conditions of external world surrounding the instinct. A simple human mind model was designed so that it finds a balance between instinctive desire and restriction from the external world. The external world is divided into three sub-worlds like subject´s whole body, its partner and concerned periphery. Proposed mind model has three-layers construction. Each of the layer tries to find a balance between desire and restriction from external world. In each layer, the role of finding the balance was expressed by an identical optimal control minimizing a performance index function of quadratic form with a weight factor, which is rearranged and named ...

• 가족자원경영과 정책
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• 제15권3호
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• pp.63-81
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• 2011

This study examined social integration policies for multi-cultural families in Korea and the United States through a literature review and internet research. Because the United States has developed and maintained its own culture, this was an appropriate country to compare to Korea in terms of social integration policy. There were four main results. First, both countries enforce assimilation policies for multi-cultural families. Second, most social integration programs and services for multi-cultural families in Korea are carried out by the Multi-cultural Family Support Centers, which are supported by the national and local governments in Korea. However, because the U.S. government has preserved a laissez-faire approach to policies for immigrant families, there are no government-based support centers for multi-cultural families in the United States. Third, both countries focus on the assimilation of multi-cultural families. Nevertheless, the U.S. government promotes a balance between ethnic identity and U.S. citizenship. Fourth, the U.S. government strongly supports second-generation education and development programs that recognize the second generation as a human resource for the future of society. In summary, even though there were some cultural differences between the two countries, the United States' assimilation policies based on ethnic identity would be useful for Korean integration policies. In addition, it is very important to offer opportunities for mutual integration in everyday life between Korean families and multi-cultural families.

• 대한산업공학회지
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• 제37권2호
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• pp.96-104
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• 2011

Modeling and simulation of human-involved complex systems pose challenges to representing human decision makings into logical systems because of the nondeterministic and dynamic nature of human behaviors. In modeling perspectives, human's activities in systems can increase uncertainty and complexity, because he or she can potentially access all other resources within the system and change the system states. To address all of these human involvements in the system, this research suggests applying the Finite State Automata (FSA)-based formal modeling of human-involved systems that incorporates the ecological concept of affordances to an evacuation simulation, so that human behavioral patterns under urgent and dynamic emergency situations can be considered in the real-time simulation. The proposed simulation methodologies were interpreted using the warehouse fire evacuation simulation to clarify the applicability of the proposed methodology. This research is expected to merge system engineering technologies and human factors, and come out to the new predictive modeling methodology for disaster simulations. This research can be applied to a variety of applications such as building layout designs and building access control systems for emergency situations.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.2143-2147
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• 2005

Human-Robot interaction (HRI) has recently become one of the most important issues in the field of robotics. Understanding and predicting the intentions of human users is a major difficulty for robotic programs. In this paper we suggest an interaction method allows the robot to execute the human user's desires in an intelligent room-based domain, even when the user does not give a specific command for the action. To achieve this, we constructed a full system architecture of an intelligent room so that the following were present and sequentially interconnected: decision-making based on the Bayesian belief network, responding to human commands, and generating queries to remove ambiguities. The robot obtained all the necessary information from analyzing the user's condition and the environmental state of the room. This information is then used to evaluate the probabilities of the results coming from the output nodes of the Bayesian belief network, which is composed of the nodes that includes several states, and the causal relationships between them. Our study shows that the suggested system and proposed method would improve a robot's ability to understand human commands, intuit human desires, and predict human intentions resulting in a comfortable intelligent room for the human user.

• 한국의료질향상학회지
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• 제13권1호
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• pp.45-57
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• 2007

• 한국언론정보학보
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• 제27권
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• pp.183-212
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• 2004

이 연구는 맥루한의 '인간 확장' 개념으로부터 출발해, 이동전화가 매개하고 있는 인간 커뮤니케이션 확장 개념이 어떤 차원들로 구성되어 있는지를 논증해보고, 이들 각 차원의 상호작용에 의한 구체적인 이동전화 이용행태와 사회적 관계의 확장의 양상을 실증적 자료를 바탕으로 검증하고자 했다. '이동성'과 '개별성'이라는 이동전화의 매체적 특성은 인간 커뮤니케이션의 '기능 확장'과 '자아 확장'이라는 두 개의 차원 흑은 영역을 견인하고 있으며, 이는 이동전화의 도구적 이용동기와 표현적 이용동기에 각각 조응하고 있음을 밝혀 보았다. 나아가 설문조사방법을 통해 수집된 자료를 분석한 결과, 이용동기의 두 차원의 상호작용 결과, 이동전화 이용자들의 이용행태와 사회적 관계의 확장은 다양한 양상으로 전개되는 것으로 나타났다. 결론적으로 이동전화가 견인하고 있는 인간 커뮤니케이션의 확장은 일률적인 내용과 방향으로 전개되는 것이 아니라, 확장 개념의 두 차원이 상호작용함으로써 불균등한 양상으로 진행되는 것을 알 수 있었다.

• 전기학회논문지
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• 제57권6호
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• pp.1087-1094
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• 2008

This study describes a system for human sensibility evaluation using PPG(photoplethysmogram) signal and biofeedback algorithm to respond the bad(negative) mood. For this objective, PPG signals for two emotional states(positive/negative) are collected. To evoke the test emotions, happy(or joyful) and sad(or irritating) movie files are collected and played in subjects' monitor. From the acquired PPG signal, the heart rate variability(HRV) is calculated. Using the HRV and its FFT spectra, the human sensibility is evaluated. Since the heart is a representative organ which is controlled by the autonomic nervous system(ANS), the ANS may reflect the changes in emotion. The biofeedback algorithm is designed with motion image player interacting with the results of the sensibility evaluation. It was shown that HRV was changed according to the subject's emotions. Accordingly, the sensibility evaluation test showed feasibility of the our method.

• 대한전기학회논문지:시스템및제어부문D
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• 제51권11호
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• pp.528-534
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• 2002

This paper describes a technique for human sensibility evaluation using EEGs of 4 emotions. The proposed method uses the linear predictor coefficients as EEG feature parameters and a neural network as sensibility pattern classifier. For subject independent system, multiple templates are stored and the most similar template can be selected. EEG signals corresponding to 4 emotions such as relaxation, joy, sadness and anger are collected from 5 armature performers. The states of relaxation and joy are considered as positive sensibility and those of sadness and anger as negative. The classification performance suing the proposed method is about 72.6%. This may be promising performance in the human sensibility evaluation.