• 대한통합의학회지
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• 제1권1호
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• pp.1-9
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• 2013

Purpose : The purpose of this study is to investigate the impact on the ability to walk, balance after side walking training of hemiplegic patients caused by stroke. Method : The subjects were training before stroke onset whether more than one year elapsed 15 patients with chronic stroke patients, and Berg balance scale(BBS) and Timed up and go test(TUG), Functional reaching test(FRT), 20m walking time 200m walking time were measured and recorded. Training period, a total of three weeks, and training frequency circuit training times 10 minutes per training, 5-minute break, the 10-minute training total 25-minute training was conducted. Gait line of 3m to be based on the patient's side walking, and the risk of falling compared to the presence of the experimenter trained under was carried out. Result : 1. TUG, 2. 20m walking time, 3. 200m walking time 4. FRT, 5. All showed significant improvement in BBS. Judging from the results, the side walking training conducted three weeks due to chronic stroke hemiplegic patient's ability to balance and showed a positive effect on the improvement of walking ability. Conclusion : Accordingly, it was more effective to train hemiplegic patients with chronic stroke on side walking.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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• pp.343-346
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• 1996

A new method for on-line induction motor fault detection is presented in this paper. This system utilizes unsupervised-learning clustering algorithm, the Dignet, proposed by Thomopoulos etc., to learn the spectral characteristics of a good motor operating on-line. After a sufficient training period, the Dignet signals one-phase ground fault, or a potential failure condition when a new cluster is formed and persists for some time. Since a fault condition is found by comparison to a prior condition of the machine, on-line failure prediction is possible with this system without requiring information on the motor of load characteristics.

• 한국공작기계학회논문집
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• 제14권1호
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• pp.52-57
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• 2005

In the foe of global competition, the requirements for the continuously increasing productivity, flexibility and quality(dimensional accuracy, mechanical properties and surface properties) have imposed a mai or change on steel manufacturing industries. Indeed, one of the keys to achieve this goal is the automation of the steel-making process using AI(Artificial Intelligence) techniques. The automation of hot rolling process requires the developments of several mathematical models for simulation and quantitative description of the industrial operations involved. In this paper, an on-line training neural network for both long-term teaming and short-term teaming was developed in order to improve the prediction of rolling force in hot rolling mill. This analysis shows that the predicted rolling force is very closed to the actual rolling force, and the thickness error of the strip is considerably reduced.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 2003년도 춘계학술대회 논문집
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• pp.124-129
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• 2003

In the face of global competitor the requirements flor the continuously increasing productivity, flexibility and quality(dimensional accuracy, mechanical properties and surface properties) have imposed a major change on steel manufacturing industries. Indeed, one of the keys to achieve this goal is the automation of the steel-making process using AI(Artificial Intelligence) techniques. The automation of hot rolling process requires the developments of several mathematical models fir simulation and quantitative description of the industrial operations involved. In this paper, a on-line training neural network for both long-term teaming and short-term teaming was developed in order to improve the prediction of rolling force in hot rolling mill. This analysis shows that the predicted rolling force is very closed to the actual rolling force, and the thickness error of the strip is considerably reduced.

• 해양환경안전학회지
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• 제19권6호
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• pp.649-657
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• 2013

본 연구에서는 위험물 취급자의 직무에 기반을 둔 국제해상위험물 전문교육 모델을 제안하고자 해외사례 검토를 통하여 직무별 교육과정 세분화 방안을 모색하고, 설문조사를 통하여 위험물 취급자들의 개선 요구사항을 분석하였다. 해외사례 검토 결과, 미국의 경우 위험물 취급자의 직무에 따른 다양한 교육과정이 운영되고 있었고, 영국에서는 위험물의 종류 및 운송수단에 따른 교육과정이 세분화되어 운영되고 있었으나, 국내에서는 다양한 직무에 종사하는 위험물 취급자에 대하여 동일한 교육과정을 적용하고 있는 것으로 조사되었다. 한편 설문조사 결과, 현 국내 교육과정의 효과가 높지 않고, 응답자들이 IMDG Code 교육의 확대 실시와 인터넷을 통한 정보의 제공을 주로 요구하고 있는 것으로 드러났다. 따라서 결론으로 육상의 위험물 취급자를 육상현장직, 육상사무직, 육상운송직의 세 가지 직군으로 분류한 후 각 직군의 특성에 맞는 교육 방안을 제시하였고, 또한 현 수도권에 집중된 교육 실시지역을 피교육자의 수요에 맞추어 권역별로 확대 실시할 것과 On-line 교육과정의 개설을 제안하였다.

• 농촌지도와개발
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• 제8권1호
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• pp.107-119
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• 2001

As the information gap between rural and urban area, and between men and women has been widening, the Rural Development Administration(RDA) has initiated the women farmers information project from 2000. The aims of this project are; 1) to facilitate women farmers' computer and information application in agriculture and income generating activities, and 2) to make them to be leaders to popularize computer application in rural area and agricultural sector. For these, RDA has provided not only PC, software, computer training but also the post support of extension educator to target group. This paper focused on evaluating the effect of the project, clarifying the related variables with the effect, and providing suggestions to enhance the effect. The data were gathered from 310 target women farmers and 166 extension educators in charge of the project all over the country by mailing survey with questionnaire. The main findings of this study were as follows; 1) The level of computer application of the target group was improved drastically, 2) As their self-assessment, they could improve psychological fear on the computer, recognition about information, and attitude to seek information, 3) This project was helpful for them in terms of information gathering and farm(or income generating activities) management, 4) They tried to disseminate the benefit of computer application to neighbors, so that the neighbors' interest in computer and attendance of computer training were improved, 5) Variables such as the computer training hours, the number of interaction with extension educator, formal schooling and farming history were significantly related to the project's effect. To enhance the project's effect the following strategies should be carried out; 1) The period of the computer training course should be standardized and the subjects should attend to the computer training course for the standardized period. 2) Through continuous interaction with the subjects, the extension educator should support them to use computer well and to overcome some difficulties as a beginner. 3) In selecting the subjects, the priority should be given to the person who graduated high school at least. 4) The subjects should focus on using management software, gathering useful information for their business, and selling their products directly to the consumer. 5) So as to enhance the abilities mentioned above, RDA should strengthen learning opportunities through on-line training and providing educational software, besides of existing off-line training.

• BMB Reports
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• 제47권4호
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• pp.179-183
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• 2014

Investigators planning to use animals in their research and the Institutional Animal Care and Use Committee (IACUC) members who review the research protocols must take personal responsibility for ensuring that they have the skills and knowledge to perform their duties, applying the Three Rs principles of Russell and Burch. The two Korean laws introduced in 2008 and 2009 regulating animal use for scientific purposes in line with the Three Rs principles have been revised a total of 11 times over the last 6 years. Both regulatory agencies, e.g., the Animal and Plant Quarantine Agency and the Ministry of Food and Drug Safety, provide regular training based on the legal requirements. Based on the amended Animal Welfare Act, the IACUC appointment framework has been upgraded: appointments are now for two-year terms and require a qualified training certificate issued by the Animal and Plant Quarantine Agency since 2012. The authors reviewed the current curricular programs and types of training conducted by the two governing agencies through Internet searches. Our Internet survey results suggest that: a) diversity should be provided in training curricula, based on the roles, backgrounds and needs of the individual trainees; b) proper and continued educational programs should be provided, based on trainees' experiences; and c) active encouragement by government authorities can improve the quality of training curricula.

• 대한물리의학회지
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• 제15권2호
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• pp.101-108
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• 2020

PURPOSE: The purpose of this study was to investigate the effect of treadmill walking training using the metronome on the gait pattern. METHODS: A total of 33 healthy persons were studied consisting of 17 female and 16 male in the 20-30 age group. A gait analysis program was installed on a treadmill with a built - in gait analysis sensor and laptop. After 9 minutes of treadmill walking, gait analysis was performed for 1 minute. The mean values of the differences in the step length, angle of COP, separation line standard deviation and step force of the lower legs affecting walking symmetry were calculated for treadmill walking and treadmill walking using the metronome. The Shapiro-Wilk test was used to test the normality of the collected data and a paired t-test was performed to analyze the difference in walking before and after using the metronome. RESULTS: As a result of the analysis, the mean of difference between the measured values of the bilateral lower extremity for step length, angle of COP, separation line standard deviation and step force were statistically significant before and after treadmill walking using the metronome. CONCLUSION: Therefore, the treadmill walking training using the metronome is effective in decreasing the difference in the foot width, gait angle, gait distribution, and foot pressure. Because of this, the treadmill walking training using the metronome has a significant effect on walking symmetry among the elements for correct walking, which is a means for enabling efficient and continuous walking.

• International Journal of Industrial Entomology and Biomaterials
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• 제8권2호
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• pp.201-205
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• 2004

During the routine survey, the mortality of mulberry seedlings was noticed due to damping-off disease. The disease recognized by rotting of emerged seedlings near the soil line (just below the soil level) resulting in collapse of the seedlings. Two fungi were isolated from affected samples and identified as Alternaria alternata (Fr.) Keissler and Fusarium solani (Mart.) Sacc. Both the fungi were found to be responsible in causing pre and post emergence damping-off of seedlings in mulberry. For management of the disease, an experiment was conducted using fungicides. These fungicides were applied as seed treatment; soil drenching and foliar spray alone and in combination. Among the different treatments, integration of seed treatment and soil application of Dithane M-45 (Mancozeb 75% WP) + Bavistin (Carbendazim 50% WP) followed by foliar spray of these fungicides (after 35 days of sowing) resulted in better survivability of seedlings (93.3 %) on $90^th$ day and controlled the pre and post emergence damping off by 100 and 89.5%, respectively over the check.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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• pp.492-495
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• 2003

Fuzzy Min-Max Neural Network(FMMNN) is a powerful classifier, It has, however, some problems. Learning result depends on the presentation order of input data and the training parameter that limits the size of hyperbox. The latter problem affects the result seriously. In this paper, the new approach to alleviate that without loss of on-line learning ability is proposed. The committee machine is used to achieve the multi-resolution FMMNN. Each expert is a FMMNN with fixed training parameter. The advantages of small and large training parameters are used at the same time. The parameters are selected by performance and independence measures. The Decision of each expert is guided by the gating network. Therefore the regional and parametric divide and conquer scheme are used. Simulation shows that the proposed method has better classification performance.