• Title/Summary/Keyword: self-mapping

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A FIXED POINT THEOREM FOR NON-SELF G-CONTRACTIVE TYPE MAPPINGS IN CONE METRIC SPACE ENDOWED WITH A GRAPH

  • Sumitra, R.;Aruna, R.;Hemavathy, R.
    • Nonlinear Functional Analysis and Applications
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    • v.26 no.5
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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.

A Multi-Resolution Radial Basis Function Network for Self-Organization, Defuzzification, and Inference in Fuzzy Rule-Based Systems

  • Lee, Suk-Han
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1995.10a
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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.

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Development of a Smoking and Drinking Prevention Program for Adolescents using Intervention Mapping (Intervention Mapping 설계를 통한 중학생 대상 흡연음주예방 교육프로그램 개발)

  • Kye, Su-Yeon;Choi, Seul-Ki;Park, Kee-Ho
    • The Journal of Korean Society for School & Community Health Education
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    • v.12 no.3
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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.

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Development of a Camera Self-calibration Method for 10-parameter Mapping Function

  • Park, Sung-Min;Lee, Chang-je;Kong, Dae-Kyeong;Hwang, Kwang-il;Doh, Deog-Hee;Cho, Gyeong-Rae
    • Journal of Ocean Engineering and Technology
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    • v.35 no.3
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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.

Projection mapping onto multiple objects using a projector robot

  • Yamazoe, Hirotake;Kasetani, Misaki;Noguchi, Tomonobu;Lee, Joo-Ho
    • Advances in robotics research
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    • v.2 no.1
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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.

Using Intervention Mapping to Develop a Community-based Disease Self-management Support Program for Patients with Osteoarthritis (Intervention Mapping을 적용한 지역사회기반의 골관절염 자기관리지지 프로그램 개발)

  • Ahn, Yang Heui
    • Journal of muscle and joint health
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    • v.22 no.3
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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.

Dynamic Self-Repair Architectures for Defective Through-silicon Vias

  • Yang, Joon-Sung;Han, Tae Hee;Kobla, Darshan;Ju, Edward L.
    • ETRI Journal
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    • v.36 no.2
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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.

Application of Concept Mapping in Program Planning for the Mental Disorders: Can be Achieved Consensus Expected Outcomes of the Mental Disorders and Community Psychiatric Rehabilitation Center Employees through Client Participation? (정신장애인을 위한 프로그램 기획에의 컨셉트 맵핑(concept mapping) 적용 : 클라이언트 참여를 통해 사회복귀시설 종사자와 정신장애인의 기대성과 합의를 이룰 수 있는가?)

  • Kwon, Sunae;Kim, Sunjoo
    • The Journal of the Korea Contents Association
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    • v.15 no.1
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    • pp.140-151
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    • 2015
  • This study apply concept mapping to realize of client participation and self-determination in social welfare program for the mental disorders. They are relatively easily marginalized in decision-making process of their program. But realization of client participation and self-determination is directly connected with effect of service. For this reason, we confirmed the applicability of concept mapping in program planning that support client participation. Case of this study is social welfare program of B community psychiatric rehabilitation center located in the A city. This program is community interchange service for the mental disorders. Interchange type is to have a food with the mental disorder and the solitary elderly. We took advantage of the concept mapping to derive the outcomes that are expecting the mental disorders and mental health social workers. Concept mapping was proceeding in six steps; preparation stage ${\rightarrow}$ idea collection stage ${\rightarrow}$ structuralization stage ${\rightarrow}$ analysis stage ${\rightarrow}$ interpretation stage ${\rightarrow}$ application stage. Participants were a total of 25 people including the mental disorders and community psychiatric rehabilitation center employees. The participants produced 42 statements. Sorting results, the mental disorders produced 6 clusters; community psychiatric rehabilitation center employees produced 3 clusters. The mental disorders classified better detail than community psychiatric rehabilitation center employees. Two group were found gap of expected outcomes each other, went narrowed it. They agreed 3 expected outcomes finally. We identified empirically the usefulness of concept mapping to realize self-determination and program participation.

Characteristics, Mapping Understanding, Mapping Errors, and Perceptions of Student-Generated Analogies by Elementary School Students' Approaches to Learning (초등학생의 학습접근양식에 따른 비유 만들기 특성, 대응 관계 이해도, 대응 오류, 비유 만들기에 대한 인식)

  • Kang, Hun-Sik;Cheon, Ji-Hyun
    • Journal of The Korean Association For Science Education
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    • v.30 no.5
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    • pp.668-680
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    • 2010
  • In this study, we investigated the characteristics, the mapping understanding, the mapping errors, and the perceptions of student-generated analogies on the separation of mixtures using the sizes of particles by elementary school students' approaches to learning. Fourth graders (N=92) were selected and administered with the tests on the approaches to learning, self-generating analogies, and perception of self-generating analogies. The results revealed that the meaningful learners made more analogies, especially structural/functional, enriched, and higher systematic ones than the rote learners. However, there were little difference in students' approaches to learning in the subcategories of representation (verbal, pictorial, and verbal/pictorial), artificiality (artificial and everyday), and abstraction (abstract and concrete). The meaningful learners had deeper understanding of the analogy and fewer mapping errors than the rote learners. In addition, the numbers of the shared attributes included in student-generated analogies and the scores of the mapping understanding of the meaningful learners were significantly higher than those of the rote learners. Many students, regardless of students' approaches to learning, had positive perceptions of the self-generating analogies in various cognitive and motivational aspects. However, they also point out the various difficulties in the self-generating analogies as their disadvantages. Educational implications of these findings are discussed.

Intelligent Nuclear Material Diagnosis System Using SOM-PAK (SOM-PAK을 이용한 지능형 핵물질 거동진단 시스템)

  • 송대용;이상윤;하장호;고원일;김호동
    • Proceedings of the Korea Society for Industrial Systems Conference
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    • 2003.11a
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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

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