• International Journal of Fuzzy Logic and Intelligent Systems
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• v.5 no.2
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• pp.95-101
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• 2005

In this paper, we proposed a learning algorithm for the neuro-fuzzy modeling using a learning rule to adapt clustering. The proposed algorithm includes the data partition, assigning the rule into the process of partition, and optimizing the parameters using predetermined threshold value in self-constructing algorithm. In order to improve the clustering, the learning method of neuro-fuzzy model is extended and the learning scheme has been modified such that the learning of overall model is extended based on the error-derivative learning. The effect of the proposed method is presented using simulation compare with previous ones.

• Journal of Korean Academy of Nursing
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• v.34 no.1
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• pp.63-71
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• 2004

Purpose: This study was to identify the influencing factors of the compliance level to a therapeutic regimen after a bone mineral densitometry test. Method: The sample for the study was 95 people who took the bone mineral densitometry test from March, 2002 to July, 2002. Data was collected by mail using aself reporting questionnaire on the selected variables such as the compliance level, self efficacy, health locus of control, susceptibility, severity, usefulness, barrier, and self esteem. Results: The average compliance level was 63.93. Through multiple regression, three independent variables including chance health locus of control on personality, the result of bone mineral density and self-efficacy were entered in the model as the significant determinants of the compliance level after a bone mineral densitometry test. The coefficients of determination of each variable were 10.9%, 8.3% and 8.1% respectively. Conclusion: The identification of the determinants of the compliance level to the therapeutic regimen after bone mineral densitometry is expected to contribute to the development of an intervention program to improve the compliance level to the therapeutic regimen in osteoporosis patients.

• Journal of the Korean Institute of Navigation
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• v.22 no.2
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• pp.13-22
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• 1998

Shipbome Automatic Identification System (AIS) will be an important manne equipment used for identification, surveillance and communication in the 21st century, which is currently being researched in developed countries. A technical scheme of AlS is proposed in this paper. The main component of the AlS is a broadcast transponder, and the core technology is a VHF radio data link with high capacity, named STDMA (Self-organized Time Division Multiple Access). The ships installed the AlS, which will automatically and periodically broadcast their positions and identities in the marine VHF channels, can be displayed on a screen of an ECDIS on board or in VTS centers. The AlS is able to support not only broadcast service but also point-to-point communication service. This paper presents the configuration, operation principle and functionality of the AlS as well as the scenario of STDMA. In addition, the standardization work of AlS in IMO is introduced in this pauer, too.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2009.06a
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• pp.19-20
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• 2009

International Maritime Organization(IMO) recommends the installation of an Automatic Identification System(AIS) according to requirements by SOLAS Chapter 5 to avoid maritime collision. AIS provides traffic information of other ships that may be used for maritime traffic control, SAR(Search and Rescue) and collision avoidance to apply safety management. In this paper, preliminary results to implement an aeronautical surveillance transceiver using AIS transceiver based on ADS-B concepts are described. Although altitude information is not required for AIS since the AIS is operated at MSL(Mean Sea Level), altitude information can be extracted by a GPS chip-set in the ALS transceiver. ADS-B transceiver is implemented by defining a surveillance message format including the altitude information and modifying SOTDMA protocol. Ground tests and flight tests are performed to validate the implementation results.

• 대한상한금궤의학회지
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• v.15 no.1
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• pp.85-115
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• 2023

Objectives : This study reports on the cases of four ADHD patients who treated with herbal medication based on Disease Pattern Identification Diagnostic System (DPIDS). Methods : Two children and two adults were diagnosed with ADHD according to DSM-V, and Galgeunhwangryeonhwanggeum-tang was administered. The parents of the two children completed the Korean ADHD Rating Scale (K-ARS) before and after treatment, while the other patients used the Korean ADHD Self Rating Scale (K-ASRS). The patients' somatic symptoms and other issues were evaluated through interviews. Results : In the first case, the K-ARS scale exhibited a change from 28 to 3. The patient demonstrated improvements in attention, concentration, and social behavior, along with the elimination of self-injurious behavior. In the second case, the K-ARS scale showed a change from 41 to 9. The patient in the third case demonstrated improved chronic fatigue, increased attention, work efficiency, and enhanced social skills, leading to maintaining employment for over six months for the first time in their life after the treatments. Additionally, the patient in the fourth case demonstrated improved work concentration and relief in nocturia. Conclusions : In this study, four patients exhibited improvements in symptoms of attention deficit, hyperactivity, and impulsivity before and after herbal treatment, leading to enhanced academic and social relationships. As the patients progressed in their health restoration, symptoms related to the genitourinary system also showed improvement.

• Journal of the Korean Home Economics Association
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• v.46 no.7
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• pp.35-45
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• 2008

For the highly involved and emotional product, such as cosmetic product, the consumer focuses on the information about the symbolic meaning of a product. As a continuum, cosmetic advertising frequently requires a celebrity and/or cue since it provides identification between customer and cosmetic. Although many studies have examined the effectiveness of the congruence between brand image and self-image, there are little research regarding the congruence between advertising image and self image. The objective of this study is to examine the attitudinal effectiveness of the congruence between cosmetic advertising image and self-image. For the experiment, 2(ad type: rational vs emotional) factorial designs were performed. A total of 240 undergraduate female students participated in the experiment. The results of the study are as follows. First, the congruence had a significantly positive influence on advertising attitude, but not on brand attitude. Second, the type of cosmetic advertising caused differences in attitudinal persuasiveness affected by the congruence.

• Journal of Korea Multimedia Society
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• v.6 no.7
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• pp.1312-1320
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• 2003

In this paper, we consider a multilayer neural network, with a single hidden layer. Error backpropagation learning method used widely in multilayer neural networks has a possibility of local minima due to the inadequate weights and the insufficient number of hidden nodes. So we propose a fuzzy supervised learning algorithm by using self-generation that self-generates hidden nodes by the compound fuzzy single layer perceptron and modified ART1. From the input layer to hidden layer, a modified ART1 is used to produce nodes. And winner take-all method is adopted to the connection weight adaptation, so that a stored pattern for some pattern gets updated. The proposed method has applied to the student identification card images. In simulation results, the proposed method reduces a possibility of local minima and improves learning speed and paralysis than the conventional error backpropagation learning algorithm.

• 제어로봇시스템학회:학술대회논문집
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• 1996.10b
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• pp.61-64
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• 1996

This paper presents a new approach to the design of self-tuning adaptive control system that is robust to the changing dynamic configuration as well as to the load variation factors using Digital signal processors for robot manipulators. TMS32OC50 is used in implementing real-time adaptive control algorithms to provide advanced performance for robot manipulator. In this paper, an adaptive control scheme is proposed in order to design the pole-placement self-tuning controller which can reject the offset due to any load disturbance without a detailed description of robot dynamics. Parameters of discrete-time difference model are estimated by the recursive least-square identification algorithm, and controller parameters are determined by the pole-placement method. Performance of self-tuning adaptive controller is illustrated by the simulation and experiment for a SCARA robot.

• 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.

• Research in Community and Public Health Nursing
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• v.14 no.3
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• pp.468-478
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• 2003

Purpose: The purpose of this study is to identify the relationship among sexual contact, sex role identification, and self esteem in Korean girls' high school students. Methods: The data were collected from 522 girls, who were stratified samples from a target population of 63,375 11th grade students from 200 regular high schools and 70 vocational high schools in Seoul, Korea from June 22 to July 18, 2002. Data were processed with the SAS program. Results: It was found that 42.51% of girls haven't experienced any sexual contact at all. The highest frequency in the final level of sexual contact was 'kiss', which was 22.03%. The 'androgyny' type among sex role identities of girls was most common, 32.57%, being followed by the 'undifferentiated' type 31.61%, the 'masculinity' type 18.97%, and the 'femininity' type 16.86, in that order. The sexual contacts such as 'holding hands', 'arms around', 'embracing', and 'kiss' were significantly different depending on sex role identity types. The score for self-esteem was significantly different depending on sex role identity types. The score for self- esteem was not significantly different depending on the final level of sexual contact. Conclusion: Based on the findings of this study, sex education programs should be developed in order to delay the sexual contacts of girls.