• Title/Summary/Keyword: Organizing

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Development of an Application for Mobile Devices to Analyze Data Set by a Self-Organizing Map : A Case Study on Saga Prefectural Sightseeing Information

  • Wakuya, Hiroshi;Horinouchi, Yu;Itoh, Hideaki
    • International Journal of Contents
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    • v.9 no.3
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    • pp.15-18
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    • 2013
  • In the preceding studies, an analysis of Saga Prefectural sightseeing information by a Self-Organizing Map (SOM) has been tried. And recent development on Information and Communication Technology (ICT) will help us to access any results via the mobile devices easily. This is why the mobile devices, e.g., smartphones and tablet computers, have an operating system installed, and we can improve their functions by downloading any applications on the Web. Then, in order to realize this basic idea, development of an application for the mobile devices is investigated through some computer simulations on the standard desktop PC in this paper. As a result, it is found that i) a developed feature map is useful to identify some candidate topics, ii) a touchscreen is suitable to show the feature map, and iii) arrangement of the feature map can be modified based on our interests. Then, it is concluded that the proposed idea seems to be applicable, even though further consideration is required to brush it up.

Organizing Thrombus Mimicking a Cardiac Tumor Located at the Mitral-Aortic Intervalvular Fibrosa

  • Lee, Ji Seong;Kim, Wan Seop;Ko, Seong Min;Shin, Je Kyoun
    • Journal of Chest Surgery
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    • v.49 no.1
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    • pp.42-45
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    • 2016
  • Thrombosis at the left ventricular outflow tract occurs without any detectable heart disease or predisposing factors only extremely rarely. A 48-year-old male visited Konkuk University Medical Center with loss of consciousness one month prior to presentation. Before he visited our hospital, he had been diagnosed with a cardiac tumor, which was located between the left atrium and posterior aortic root, and which was adjacent to both the aortic and mitral valves. Cardiac transplantation was recommended at the other hospital because of the high risk of cardiac dysfunction induced by both aortic and mitral valvular dysfunction after surgical resection. Based on preoperative transthoracic echocardiography, cardiac computed tomography, cardiac magnetic resonance imaging, and intraoperative transesophageal echocardiography, we considered it to be a benign tumor. Complete resection was achieved and the pathology confirmed organizing thrombus. We report a case of organizing thrombus mimicking a cardiac tumor, which was located at the mitral-aortic intervalvular fibrosa of the left ventricular outflow tract without any heart disease.

A Self-Organizing Fuzzy Logic Controller with a Performance Evaluation Level (성능평가 계층이 있는 자기구성 퍼지제어기)

  • 김동현;이평기;전기준
    • Journal of the Korean Institute of Intelligent Systems
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    • v.8 no.2
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    • pp.21-34
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    • 1998
  • [n this paper, we propose a hierarchical self-organizing fuzzy logic controller to improve the performance of the FARMA(Fuzzy auto-regressive moving average) SOC(Self-organizing fuzzy logic controller) when the system parameters change. The proposed controller contains the FARMA SC)C in the lower level and has a coordinator in the higher level, which evaluates convergence. and when it senses the degradation of system performance it compensates the control input by a look-up table. The proposed controller shows good perforniance over the FARMA SOC when the system parameters change. We executed some computer simulations on the regulation problem of an inlrerted pendulum system and compared the results with those of the FARMA SOC. As a result, it ha:; been shown that the proposed controller outperformed the FARMA SOC when the changes of the system parameters occurred.

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Machine Layout Decision Algorithm for Cell Formation Problem Using Self-Organizing Map (자기조직화 신경망을 이용한 셀 형성 문제의 기계 배치순서 결정 알고리듬)

  • Jeon, Yong-Deok
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.42 no.2
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    • pp.94-103
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    • 2019
  • Self Organizing Map (SOM) is a neural network that is effective in classifying patterns that form the feature map by extracting characteristics of the input data. In this study, we propose an algorithm to determine the cell formation and the machine layout within the cell for the cell formation problem with operation sequence using the SOM. In the proposed algorithm, the output layer of the SOM is a one-dimensional structure, and the SOM is applied to the parts and the machine in two steps. The initial cell is formed when the formed clusters is grouped largely by the utilization of the machine within the cell. At this stage, machine cell are formed. The next step is to create a flow matrix of the all machine that calculates the frequency of consecutive forward movement for the machine. The machine layout order in each machine cell is determined based on this flow matrix so that the machine operation sequence is most reflected. The final step is to optimize the overall machine and parts to increase machine layout efficiency. As a result, the final cell is formed and the machine layout within the cell is determined. The proposed algorithm was tested on well-known cell formation problems with operation sequence shown in previous papers. The proposed algorithm has better performance than the other algorithms.

A Study on Improvement of Level of Highway Maintenance Service Using Self-Organizing Map Neural Network (자기조직화 신경망을 이용한 고속도로 유지관리 서비스 등급 개선에 대한 연구)

  • Shin, Duksoon;Park, Sungbum
    • Journal of Information Technology Services
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    • v.20 no.1
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    • pp.81-92
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    • 2021
  • As the degree of economic development of society increases, the maintenance issues on the existing social overhead capital becomes essential. Accordingly, the adaptation of the concept of Level of service in highway maintenance is indispensable. It is also crucial to manage and perform the service level such as road assets to provide universal services to users. In this regards, the purpose of this study is to improve the maintenance service rating model and to focus on the assessment items and weights among the improvements. Particularly, in determining weights, an Analytic Hierarchy Process (AHP) is performed based on the survey response results. After then, this study conducts unsupervised neural network models such as Self-Organizing Map (SOM) and Davies-Bouldin (DB) Index to divide proper sub-groups and determine priorities. This paper identifies similar cases by grouping the results of the responses based on the similarity of the survey responses. This can effectively support decision making in general situations where many evaluation factors need to be considered at once, resulting in reasonable policy decisions. It is the process of using advanced technology to find optimized management methods for maintenance.

The Impact of Shared Leadership on Organizational Commitment and Career Development in Startups

  • Chanuk Park;Sin-Bok Lee
    • International Journal of Advanced Culture Technology
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    • v.12 no.1
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    • pp.60-74
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    • 2024
  • Due to the relative lack of concerns and research on organizational career development in startups, we study aimed to reveal the impact of shared leadership in startups on organizational career development through organizational commitment. The research method was an online survey targeting 200 startup members from April 11 to April 28, 2023, and a total of 195 copies were used in the final analysis. As a result of the study, first, among the shared leadership of startups, development and mentoring were found to have a positive impact on emotional commitment. Second, among the shared leadership of startups, planning and organizing, support and empathy were found to have a positive impact on continuous commitment. Third, planning and organizing, support and empathy had a positive impact on normative commitment. Third, among startups' shared leadership, planning and organizing, support and empthy had a positive impact on normative commitment. Fourth, emotional and continuous commitment were found to have a positive impact on improving career goals in organizational career growth. Fifth, emotional and continuous and normative commitment were each found to have a positive influence on the development of professional abilities in organizational career development. Lastly, emotional, continuous and normative commitment were all found to have a positive influence on the speed of promotion in organizational career growth. As a result, it is expected that the results of this study will be able to suggest shared leadership policy directions and goals for startups.

Self-Organizing Middleware Platform Based on Overlay Network for Real-Time Transmission of Mobile Patients Vital Signal Stream (이동 환자 생체신호의 실시간 전달을 위한 오버레이 네트워크 기반 자율군집형 미들웨어 플랫폼)

  • Kang, Ho-Young;Jeong, Seol-Young;Ahn, Cheol-Soo;Park, Yu-Jin;Kang, Soon-Ju
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38C no.7
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    • pp.630-642
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    • 2013
  • To transmit vital signal stream of mobile patients remotely, it requires mobility of patient and watcher, sensing function of patient's abnormal symptom and self-organizing service binding of related computing resources. In the existing relative researches, the vital signal stream is transmitted as a centralized approach which exposure the single point of failure itself and incur data traffic to central server although it is localized service. Self-organizing middleware platform based on heterogenous overlay network is a middleware platform which can transmit real-time data from sensor device(including vital signal measure devices) to Smartphone, TV, PC and external system through overlay network applied self-organizing mechanism. It can transmit and save vital signal stream from sensor device autonomically without arbitration of management server and several receiving devices can simultaneously receive and display through interaction of nodes in real-time.

A Case of Acute Fibrinous and Organizing Pneumonia (급성 섬유소성 기질화 폐렴 1예)

  • Cho, Joo Yeon;Lee, Hyun Kyung;Lee, Sung Soon;Lee, Hye Kyung;Lee, Young Min;Lee, Hyuk Pyo;Kim, Joo In;Choi, Soo Jeon;Yum, Ho-Kee
    • Tuberculosis and Respiratory Diseases
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    • v.61 no.5
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    • pp.479-483
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    • 2006
  • Acute fibrinous and organizing pneumonia (AFOP) is a histological pattern consisting of prominent intra-alveolar fibrin and organizing pneumonia, with out hyaline membranes or prominent eosinophilia. The clinical manifestations of AFOP resemble those of acute lung injury such as acute interstitial pneumonia (AIP). However, the classic histological patterns of AFOP differ from diffuse alveolar damage (DAD), bronchiolitis obliterans with organizing pneumonia (BOOP) or acute eosinophilic pneumonia (AEP). The characteristic intra-alveolar fibrin ball and lack of classic hyaline membrane are the predominant histological features of AFOP. Although some reports suggest that its clinical course is less catastrophic than DAD, the clinical entity that distinguishes AFOP from DAD has not been established. We present a case of pathologically demonstrated AFOP in a 79-year-old man. The radiological findings of our case were similar to those of DAD, presented with diffuse bilateral lung infiltrations. However, despite the rapid development of respiratory failure, the patient had a better response and outcome to steroid therapy than what would be expected for DAD.

Container Image Recognition using Fuzzy-based Noise Removal Method and ART2-based Self-Organizing Supervised Learning Algorithm (퍼지 기반 잡음 제거 방법과 ART2 기반 자가 생성 지도 학습 알고리즘을 이용한 컨테이너 인식 시스템)

  • Kim, Kwang-Baek;Heo, Gyeong-Yong;Woo, Young-Woon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.11 no.7
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    • pp.1380-1386
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    • 2007
  • This paper proposed an automatic recognition system of shipping container identifiers using fuzzy-based noise removal method and ART2-based self-organizing supervised learning algorithm. Generally, identifiers of a shipping container have a feature that the color of characters is blacker white. Considering such a feature, in a container image, all areas excepting areas with black or white colors are regarded as noises, and areas of identifiers and noises are discriminated by using a fuzzy-based noise detection method. Areas of identifiers are extracted by applying the edge detection by Sobel masking operation and the vertical and horizontal block extraction in turn to the noise-removed image. Extracted areas are binarized by using the iteration binarization algorithm, and individual identifiers are extracted by applying 8-directional contour tacking method. This paper proposed an ART2-based self-organizing supervised learning algorithm for the identifier recognition, which improves the performance of learning by applying generalized delta learning and Delta-bar-Delta algorithm. Experiments using real images of shipping containers showed that the proposed identifier extraction method and the ART2-based self-organizing supervised learning algorithm are more improved compared with the methods previously proposed.

A Study on Competencies of Teacher for Organizing and Operating of National Competency Standards Based Vocational Education Curriculum (NCS based curriculum) in Vocational High Schools (직업계고 교원의 NCS 기반 교육과정 편성·운영 역량 연구)

  • Ahn, Jae-Yeong;Lee, Chan-Joo
    • Journal of vocational education research
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    • v.37 no.2
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    • pp.101-127
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    • 2018
  • The purposes of this study are to study out competencies of teacher for organizing and operating of NCS based curriculum in vocational high schools, and to analyze the relative importance of the competencies. The results of the study are as follows. Firstly, the competencies of teacher for organizing and operating of NCS based curriculum are composed of the following 4 areas, 11 competencies and 35 sub-competencies. 'Needs and learning environment analysis(area 1)' is composed of 2 competencies of 'analyzing needs', 'analyzing learning environment', and their 7 sub-competencies. 'Curriculum organization(area 2)' is composed of 4 competencies of 'organizing and operating curriculum committee', 'setting educational goals and workforce type', 'analyzing and selecting NCS competency units learning modules', 'developing subjects', and their 10 sub-competencies. 'Curriculum operation(area 3)' is composed of 3 competencies of 'preparing teaching-learning activities', 'implementing teaching-learning activities', 'evaluating teaching-learning activities', and their 15 sub-competencies. 'Curriculum evaluation and feedback(area 4)' is composed of 2 competencies of 'evaluating curriculum', 'giving feedback on the curriculum', and their 3 sub-competencies. Secondly, the relative importance of the competencies is as follows; 'implementing teaching-learning activities' has the highest relative importance of 19.6%, followed by 'evaluating teaching-learning activities'(14.2%), 'evaluating curriculum'(12.5%), 'giving feedback on the curriculum'(11.2%), 'preparing teaching-learning activities'(9.2%), 'developing subjects'(8.6%), 'analyzing and selecting NCS competency units learning modules'(7.5%), 'setting educational goals and workforce type'(6.6%), 'analyzing learning environment'(5.4%), 'analyzing needs'(3.9%), 'organizing and operating curriculum committee'(1.5%).