• Nonlinear Functional Analysis and Applications
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• 제26권5호
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• pp.1105-1114
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• 2021

In this paper, we prove a fixed point theorem for G-contractive type non-self mapping in cone metric space endowed with a graph. Our result generalizes many results in the literature and provide a new pavement for solving nonlinear functional equations.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1995년도 추계학술대회 95 KFIS Workshop Realization of Human Friendly System Based on Soft Computiong Techniques
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• pp.124-140
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• 1995

The merit of fuzzy rule based systems stems from their capability of encoding qualitative knowledge of experts into quantitative rules. Recent advancement in automatic tuning or self-organization of fuzzy rules from experimental data further enhances their power, allowing the integration of the top-down encoding of knowledge with the bottom-up learning of rules. In this paper, methods of self-organizing fuzzy rules and of performing defuzzification and inference is presented based on a multi-resolution radial basis function network. The network learns an arbitrary input-output mapping from sample distribution as the union of hyper-ellipsoidal clusters of various locations, sizes and shapes. The hyper-ellipsoidal clusters, representing fuzzy rules, are self-organized based of global competition in such a way as to ensute uniform mapping errors. The cooperative interpolation among the multiple clusters associated with a mapping allows the network to perform a bidirectional many-to-many mapping, representing a particular from of defuzzification. Finally, an inference engine is constructed for the network to search for an optimal chain of rules or situation transitions under the constraint of transition feasibilities imposed by the learned mapping. Applications of the proposed network to skill acquisition are shown.

• 한국학교ㆍ지역보건교육학회지
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• 제12권3호
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• pp.1-15
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• 2011

Objectives: We describe the development of a smoking and drinking prevention program for adolescents, using intervention mapping. Methods: The study sample consisted of 1,000 high school second-grade students from 6 high schools in Seoul. The PRECEDE model was applied for the needs assessment. We carried out a social diagnosis by assessing the factors such as the quality of life, happiness level, and satisfaction with school life; an epidemiological diagnosis on the perceived health status, stress levels, and priority of health issues; a behavioral diagnosis on the smoking and drinking rate and the intention to smoke and drink; and an educational diagnosis on knowledge, beliefs, attitudes, self-efficacy, outcome expectations, social norms and life skills. Results: The development process included a needs assessment, identifying factors that influence smoking and drinking among adolescents. Intention, knowledge, perceived norms, perceived benefit, perceived cost, perceived susceptibility, self-efficacy, and life skills were identified as determinants. Three performance objectives were formulated to describe what an individual needs to do in order to avoid smoking and drinking. Subsequently, we constructed an intervention matrix by crossing the performance objectives with the selected determinants. Each cell describes the learning objectives of the smoking and drinking prevention program. The program used methods from the transtheoretical model, such as consciousness raising, outcome expectations, self-reevaluation, self-liberation, counterconditioning, environmental reevaluation, and stimulus control. The program deals with the effects of smoking and drinking, self-improvement, decision making, understanding advertisements, communication skills, social relationships, and assertiveness. Conclusions: By using the process of intervention mapping, the program developer was able to ensure a systematical incorporation of empirical and new data and theories to guide the intervention design. Programs targeting other health-related behavior and other methods or strategies can also be developed using this intervention mapping process.

• 한국해양공학회지
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• 제35권3호
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• pp.183-190
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• 2021

Tomographic particle image velocimetry (PIV) is a widely used method that measures a three-dimensional (3D) flow field by reconstructing camera images into voxel images. In 3D measurements, the setting and calibration of the camera's mapping function significantly impact the obtained results. In this study, a camera self-calibration technique is applied to tomographic PIV to reduce the occurrence of errors arising from such functions. The measured 3D particles are superimposed on the image to create a disparity map. Camera self-calibration is performed by reflecting the error of the disparity map to the center value of the particles. Vortex ring synthetic images are generated and the developed algorithm is applied. The optimal result is obtained by applying self-calibration once when the center error is less than 1 pixel and by applying self-calibration 2-3 times when it was more than 1 pixel; the maximum recovery ratio is 96%. Further self-correlation did not improve the results. The algorithm is evaluated by performing an actual rotational flow experiment, and the optimal result was obtained when self-calibration was applied once, as shown in the virtual image result. Therefore, the developed algorithm is expected to be utilized for the performance improvement of 3D flow measurements.

• Advances in robotics research
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• 제2권1호
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• pp.45-57
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• 2018

Even though the popularity of projection mapping continues to increase and it is being implemented in more and more settings, most current projection mapping systems are limited to special purposes, such as outdoor events, live theater and musical performances. This lack of versatility arises from the large number of projectors needed and their proper calibration. Furthermore, we cannot change the positions and poses of projectors, or their projection targets, after the projectors have been calibrated. To overcome these problems, we propose a projection mapping method using a projector robot that can perform projection mapping in more general or ubiquitous situations, such as shopping malls. We can estimate a projector's position and pose with the robot's self-localization sensors, but the accuracy of this approach remains inadequate for projection mapping. Consequently, the proposed method solves this problem by combining self-localization by robot sensors with position and pose estimation of projection targets based on a 3D model. We first obtain the projection target's 3D model and then use it to accurately estimate the target's position and pose and thus achieve accurate projection mapping with a projector robot. In addition, our proposed method performs accurate projection mapping even after a projection target has been moved, which often occur in shopping malls. In this paper, we employ Ubiquitous Display (UD), which we are researching as a projector robot, to experimentally evaluate the effectiveness of the proposed method.

• 근관절건강학회지
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• 제22권3호
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• pp.245-257
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• 2015

Purpose: The purpose of this study was to apply intervention mapping (IM) to develop a community-based disease self-management support program for patients with osteoarthritis. Methods: IM was applied as follows: i) a needs assessment has been carried out by a literature review, survey and interview with osteoarthritis patients; ii) on the basis of the needs assessment, identification of expected outcomes and change objectives for the target population; iii) selection of theory-based methods and practical applications to influence self-management and the determinants of behavior; iv) design of the intervention by developing activities and materials such as osteoarthritis self-management guide and smart patient pocket book. The activities were integrated into an existing healthcare activities; v) implementation and evaluation plan has been developed. Results: The program is aimed at improving health status through activating patients by a patient-centered and tailored intervention for patients with osteoarthritis; consists of 8 sessions with coaching and cognitive emotional psychological skills; includes smart patient, communication, osteoarthritis, medication adherence, pain control, depressive mood control, physical activity and healthy diet. Conclusion: The IM is a systematic and feasible method for developing the program. The next step is to evaluate the impact of the intervention on activation, and health status.

• ETRI Journal
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• 제36권2호
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• pp.301-308
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• 2014

Three-dimensional integration technology results in area savings, platform power savings, and an increase in performance. Through-silicon via (TSV) assembly and manufacturing processes can potentially introduce defects. This may result in increases in manufacturing and test costs and will cause a yield problem. To improve the yield, spare TSVs can be included to repair defective TSVs. This paper proposes a new built-in self-test feature to identify defective TSV channels. For defective TSVs, this paper also introduces dynamic self-repair architectures using code-based and hardware-mapping based repair.

• 한국콘텐츠학회논문지
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• 제15권1호
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• pp.140-151
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• 2015

본 연구는 정신장애인을 대상으로 이루어지는 프로그램에 클라이언트 참여와 자기결정의 가치를 실현하기 위하여 컨셉트 맵핑을 적용한 것이다. 컨셉트 맵핑이 적용되는 프로그램은 A광역시의 B사회복귀시설에서 시행되는 것으로, 정신장애인들이 독거노인과 함께 음식을 교류하며 소통하는 사업이였다. 컨셉트 맵핑을 통해서 정신장애인과 사회복귀시설 종사자가 기대하고 있는 프로그램의 성과가 무엇인지 서로 확인하고, 합의해 나가게 되었다. 정신장애인과 사회복귀시설 종사자 총 24명이 참여하였으며, 총 여섯단계를 거쳤다. 42개의 서술문이 수집되었으며, 분류화 결과, 정신장애인은 6개의 군집, 사회복귀시설 종사자는 3개의 군집이 도출되었다. 사회복귀시설 종사자보다 정신장애인들이 기대성과를 더 세분화시켜 분류하였다. 서로가 기대하는 성과의 차이를 확인하고 기대성과의 중요성을 측정하여 최종적으로 합의된 3가지의 기대성과를 도출하였다. 이번 연구를 통해서 정신장애인들의 프로그램 참여와 그에 따른 자기결정의 가치를 실현하는데 컨셉트 맵핑이 가지는 유용성을 경험적으로 확인할 수 있게 되었다.

• 한국과학교육학회지
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• 제30권5호
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• pp.668-680
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• 2010

이 연구에서는 알갱이의 크기에 따른 혼합물의 분리 원리에 대해 초등학생들이 만든 비유의 특성, 대응관계 이해도, 대응 오류, 비유 만들기에 대한 인식을 학습접근양식에 따라 조사했다. 초등학교 4학년 92명을 선정하여 학습접근양식 검사, 비유 만들기 검사, 비유 만들기에 대한 인식 검사를 실시했다. 연구 결과, 기계적 학습접근양식을 지닌 학생들보다 유의미학습접근양식을 지닌 학생들이 더 많은 수의 비유를 만드는 것으로 나타났다. 만든 비유 유형의 경우, 기계적 학습접근양식보다 유의미 학습접근양식을 지닌 학생들이 구조적/기능적 비유, 부연 비유, 고체계성 비유를 더 많이 만드는 경향이 있었으나 표현 방식(글, 그림, 글/그림)과 상황의 작위성(작위적, 일상적), 추상도(추상적, 구체적) 항목에서는 학습접근양식에따른 차이가 거의 없었다. 기계적 학습접근양식보다 유의미 학습접근양식을 지닌 학생들이 비유에 대한 이해도가 더 높았고, 비유물에 포함된 공유 속성의 수와 대응 관계 이해도 점수도 유의미하게 높았으며, 대응 오류를 범하는 경우도 더 적었다. 학습접근양식에 관계없이 많은 학생들이 비유 만들기 활동에 대해 다양한 인지적 동기적 측면에서 긍정적으로 인식하는 것으로 나타났다. 반면, 비유 만들기 활동에서의 다양한 어려움 등과 같은 단점을 지적하기도 했다. 이에 대한 교육적 함의를 논했다.

• 한국산업정보학회:학술대회논문집
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• 한국산업정보학회 2003년도 추계공동학술대회
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• pp.135-144
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• 2003

In this paper, the implementation techniques of intelligent nuclear material surveillance system based on the SOM(Self Organized Mapping) was described. Unattended continuous surveillance systems for nuclear facility result in large amounts of data, which require much time and effort to inspect. Therefore, it is necessary to develop system that automatically pinpoints and diagnoses the anomalies from data. In this regards, this paper presents a novel concept of a continuous surveillance system that integrates visual image and radiation data by the use of neural networks based on self-organized feature mapping