• Journal of Electrical Engineering and Technology
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• v.2 no.4
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• pp.485-493
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• 2007

This paper deals with the problem of detection of induction motor incipient faults. Artificial Neural Network (ANN) approach is applied to detect two types of incipient faults (1). Interturn insulation and (2) Bearing wear faults in single-phase induction motor. The experimental data for five measurable parameters (motor intake current, rotor speed, winding temperature, bearing temperature and the noise) is generated in the laboratory on specially designed single-phase induction motor. Initially, the performance is tested with two inputs i.e. motor intake current and rotor speed, later the remaining three input parameters (winding temperature, bearing temperature and the noise) were added sequentially. Depending upon input parameters, the four ANN based fault detectors are developed. The training and testing results of these detectors are illustrated. It is found that the fault detection accuracy is improved with the addition of input parameters.

• Journal of Fashion Business
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• v.6 no.4
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• pp.113-124
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• 2002

The purpose on this study identified the purchasing conditions of Sports wear of the Chinese men residing in Beijing, Shanghai, Dalian, Tianjin, Harbin and Guangzhou, so that it helped sports wear manufacturers and retailers offer the basic data. For the study, a questionnaire used as a method of measurement, the 863 Chinese men were selected as a sample, SAS(Statistical Analysis System) program was used to analyze the data. The results from the study were as follows: 1. According to the investigation, the most preferred sports of Chinese men is soccer, as a whole. Swimming, basketball and ping-pong keep rank the next to soccer. 2. Accordingly age, area, profession and income, Chinese men maintained sports suit in order of training suit, swimming suit, soccer suit, tennis suit. It is found that holding amount of high-quality sports wears as ski, golf is on a low level. 3. It is appeared that Chinese men purchased in good order as follow brand: No-bran, Nike, Lening, Adidas. And except Nike, they purchased more Lening brand than foreign sports brand. 4. As the result of researching on the item of sports wear, it is found that they purchased various kind items in a higher rank 5 brands. 5. Sports wear's color that Chinese men purchased is blue, white, black, red. 6. The purchasing price that Chinese men favored is 200$\sim$599RMB. Thus, they expend average per head for sports suit buying, 486.0RMB. 7. Chinese men purchased very often at specialty store. And, coefficient of utilization at the usual market is on a low level. 8. In purchasing satisfaction, 80 % Chinese men were satisfied with goods(sports wear) that purchased in a higher rank 5 brands. So, average satisfaction degree showed over 3.8 as a high rate. 9. According to the result of satisfaction on Chinese men, 70% Chinese men showed satisfaction. Therefore, the average of satisfaction degree appeared 3.81 as a high rate.

• ETRI Journal
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• v.45 no.6
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• pp.1046-1055
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• 2023

We introduce a display for virtual-reality (VR) fire training. Firefighters prefer to wear and operate a real breathing apparatus while experiencing full visual immersion in a VR fire space. Thus, we used a thin head-mounted display (HMD) with a light field and folded optical system, aiming to both minimize the volume for integration in front of the face into a breathing apparatus and maintain adequate visibility, including a wide viewing angle and resolution similar to that of commercial displays. We developed the optical system testing modules and prototypes of the integrated breathing apparatus. Through iterative testing, the thickness of the output optical module in front of the eyes was reduced from 50 mm to 60 mm to less than 20 mm while maintaining a viewing angle of 103°. In addition, the resolution and image quality degradation of the light field in the display was mitigated. Hence, we obtained a display with a structure consistent with the needs of firefighters in the field. In future work, we will conduct user evaluation regarding fire scene reproducibility by combining immersive VR fire training and real firefighting equipment.

• Tribology and Lubricants
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• v.38 no.4
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• pp.152-161
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• 2022

Chemical mechanical planarization (CMP) is a technology that planarizes the surfaces of semiconductor devices using chemical reaction and mechanical material removal, and it is an essential process in manufacturing highly integrated semiconductors. In the CMP process, a conditioning process using a diamond conditioner is applied to remove by-products generated during processing and ensure the surface roughness of the CMP pad. In previous studies, prediction of pad wear by CMP conditioning has depended on numerical analysis studies based on mathematical simulation. In this study, using an artificial neural network, the ratio of conditioner coverage to the distance between centers in the conditioning system is input, and the average conditioning density, standard deviation, nonuniformity (NU), and conditioning density distribution are trained as targets. The result of training seems to predict the target data well, although the average conditioning density, standard deviation, and NU in the contact area of wafer and pad and all areas of the pad have some errors. In addition, in the case of NU, the prediction calculated from the training results of the average conditioning density and standard deviation can reduce the error of training compared with the results predicted through training. The results of training on the conditioning density profile generally follow the target data well, confirming that the shape of the conditioning density profile can be predicted.

• Journal of the Korean Society of Physical Medicine
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• v.13 no.1
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• pp.89-98
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• 2018

PURPOSE: While underwater, patients with hemiplegia experience unwanted limb flotation on their paretic side due to low muscle mass and high body fat. However, only a limited number of studies support the effectiveness of this practice. Therefore, the purpose of this study was to determine how the balance and walking abilities of patients with hemiplegia due to stroke were affected by wearing an aquatic cuff on their ankles during underwater treadmill walking. METHODS: Twenty stroke patients were divided into an experimental group comprised of 20 patients who would wear an aquatic cuff and a control group comprised of 10 patients without an aquatic cuff. Both groups underwent a six-week intervention for 30 minutes a day three times a week. To evaluate the groups' balance and walking abilities before and after the intervention, the 10 m walking test, timed up go test, Berg Balance Scale, functional reaching test, and the GAITRite system were used. RESULTS: The results of the 10 m walking test, timed up go test, differences between the left and right gait cycles, and functional reaching test showed statistically significant differences in the rates of change between the two groups (p<.05). CONCLUSION: The study results suggest that underwater treadmill training in stroke patients can be more effective when they wear an aquatic cuff on their ankles compared to wearing no aquatic cuff.

• Fashion & Textile Research Journal
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• v.16 no.5
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• pp.776-784
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• 2014

KS K 0051(2009) was established in 1990 and revised in 1994, 1999, 2004 and 2009. Recently the structure of apparel production and distribution are changing like as small quantity batch production, increase of importing abroad apparel and increase of on-line shopping mall. Based on Social and economic conditions, examine the potential for use of KS K 0051(2009) standard sizing system for female adult's garments are needed. Through which, it was intended to suggestion for the revision of standard sizing system for female adult's garments which can facilitate communication among consumer, producer and sellers. The improvement point was discussed through review of the current KS K 0051 (2009) and abroad standard sizing system for female adult's garments, ISO 3637(1977), ISO 4416(1981), BS EN 13402-2(2002), BS EN 13402-3(2004), JIS L 4005(2001) and GB/T 1335.2(2008). Also, the revision of standard sizing system for female adult's garments was suggested using data of 6th Size Korea. As a result of this study, in the revision, formal wear, casual wear, training wear and under wear were separated to simplify the classification and the classification of body type were excluded. Also, it is possible that size designation was simplified through optional notation and letter code based on bust girth could be marked together in casual wear.

• Journal of the Korean Society of Costume
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• v.62 no.5
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• pp.88-95
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• 2012

These days, the lifestyle of staycation, a holiday in which an individual or family stays and relaxes at home, or possibly taking day trips to local parks and museums and so on, has increased. For this reason, the market of loungewear has expanded and the meaning of it has developed as a separate home-wear. According to the reflection of this trend, various kinds of loungewear are sold from the internal and external brands; however, most of these loungewears are home-wear and have a training look where esthetic designs are needed. This study is done to benefit those who prefer organic products, known as LOHAS trend. In addition, we developed the loungewear fashion design products, which reflect the LOHAS trend that uses organic cotton for the S/S collection of 2012. The formation of space between body and textile by pleats in these designs on pants, skirts, tops, sleeves, capes connote the meaning of loungewear that give the wearers comfort. As a result of this study, we have reached these final conclusions. First, loungewear is suitable for featuring the human body structure. Second, organic costumes can be preferable and become superior if it combines both functional and aesthetic appreciations. Third, eco-costumes can become more of a formal wear as eco-design achieves qualitative improvement.

• Journal of the Korean Society for Precision Engineering
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• v.9 no.4
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• pp.22-35
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• 1992

In highly automated machining centers, intelligent sensor fddeback systems are indispensable on order to monitor their operations, to ensure efficient metal removal, and to initate remedial action in the event of accident. In this study, an on-line tool wear detection system for thrning operations is developed, and experimentally evaluated. The system employs multiple sensors and the signals from these sensors are processed using a multichannel autoegressive (AR) series model. The resulting output from the signal processing block is then fed to a previously tranied artificial neural network (multiayered perceptron) to make a final decision on the state of the cutting tool. To learn the necessary input/output mapping for tool wear detection, the weithts and thresholds of the network are adjusted according to the back propagation (BP) method during off-line training. The results of experimental evaluation show that the system works well over a wide range of cutting conditions, and the ability of the system to detect tool wear is improved due to the generalization, fault-tolearant and self-ofganizing properties of the neural network.

• Journal of the Korean Society of Costume
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• v.61 no.1
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• pp.47-57
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• 2011

This study is aimed at presenting the information on tailor-made clothes products which could positively relieve the psychological anxiety of the aged and enhance their living independence, and also at the development of clothes designs which could help them enjoy their healthy and activities. Based on the survey, the study conducted the research and analysis on the wearing practices, problems, and improvements for the clothes for the aged and found out their favorite clothes designs and colors. Based on the findings, the clothes models were recruited that reflect the physical features of silver-generation women and assist them with their joint protection. Moreover, the emphases were placed on the convenience of dressing or undressing, and the current fashion of development of clothes. The number of the clothes models developed were 11 for one pants suit, two skirt suits, one knit wear, one training wear, and one bolero.

• Journal of the Korean Society for Precision Engineering
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• v.15 no.7
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• pp.44-51
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• 1998

Two-step neural network is designed for determining electrical discharge machining parameters in low erosion. The first neural network, which is used as a classification network, checks whether the current conditions are appropriate to electrical discharge machining in low tool erosion. If the conditions are appropriate to EDM in low erosion, suitable EDM parameters are generated by the second neural network. Theoretically known EDM conditions are produced and also utilized for training the second neural network. The trained neural network is tested how well suitable EDM machining conditions are generated under unknown machining situations Experimental result shows that the proposed two-step neural network approach could be effectively used for determining EDM parameters in low tool erosion. The results also have a practical contribution to EDM area in that it could be applied for maintaining low tool wear as well as obtaining maximum machining rates simultaneously.