• 한국가구학회지
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• 제23권2호
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• pp.207-213
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• 2012

It was investigated present condition and enhancement of wooden playground. Wood material is the concept of eco-friendly materials. Wood is the best material which helps children to improve their emotional and physical quality. Recently, the number of wooden playgrounds was reduced but synthetic resin material has greatly increased. It was because of the high construction cost of wooden playground. Therefore, to increase the number of wooden playgrounds, it is the most important to remind people of positive recognition about wood material.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 1995년도 추계학술대회 논문집
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• pp.273-276
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• 1995

In this paper, the response characteristics of organic gases were investigated by using quartz crystal microbalance(Q.C.M) with different coating materials. The method for pattern was discussed in order to develope gas sensing system using neural network and pattern recognition. we analyzed the response characteristics by the area of frequency shift, which mean affinities of gases for coating material. The results shows that the Parameter made by the area of frequency shift has possibility to be used for pattern recognition and neural network. we found that each gas had different decrease pattern for coating material.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1995년도 추계학술대회 학술발표 논문집
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• pp.15-24
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• 1995

This paper describes a system that can be used to recognize an unknown material regardless of the fuzzy neural network(FNN). There are some problems to realize the recognition system using temperature response. It requires too many memories to store the vast temperature response data and it has to be filtered to remove noise which occurs in experiment. And the temperature response is influenced by the change of ambient temperature. So, this paper proposes a practical method using curve fitting to remove above problems of memories and noise. and FNN is proposed to overcome the problem caused by the change of ambient temperature. Using the FNN which is learned by temperature responses on fixed ambient. Temperatures and known thermal conductivity, the thermal conductivity of the material can be inferred on various ambient temperatures. So the material can be recognized by the thermal conductivity.

• 한국전기전자재료학회논문지
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• 제33권1호
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• pp.65-69
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• 2020

The aim of this study is to improve the fault decision ability of FRTU (Feeder remote terminal unit) in DAS (Distribution automation system). FRTU uses the FI (Fault indicator) algorithm based on fault current pickup and operation of the protection device. Even if the inrush current flows or the protection device is sensitive to the transient current, FRTU may indicate incorrect fault information. To address these problems, we propose an improved fault recognition algorithm that can be applied to FRTU. We will detect a specific wave that is indicative of a fault, and use this information to identify a fault wave. The specific wave-detection algorithm is based on the duration and periodicity of the voltage, current, and harmonic variations. In addition, we propose fault recognition algorithms using voltage factor variation analysis and DWT (Discrete wavelet transform). All the wave data used in this study were actual data stored in FRTU.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 1996년도 추계학술대회 논문집
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• pp.316-319
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• 1996

In this study, characteristics of ultrasonic transducer fabricated with porous piezoelectric resonator are investigated, 3-D underwater object recognition using the self-made ultrasonic transducer and SOFM(Self-Organizing Feature Map) neural network are presented. The self-made transducer was satisfied the required condition of ultrasonic transducer in water, and the recognition rates for the training data and the testing data were 100 and 95.3% respectively. The experimental results have shown that the ultrasonic transducer fabricated with porous piezoelectric resonator could be applied for sonar system.

• 센서학회지
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• 제31권3호
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• pp.145-150
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• 2022

The importance of flexible polymer-based pressure sensors is growing in fields like healthcare monitoring, tactile recognition, gesture recognition, human-machine interface, and robot skin. In particular, health monitoring and tactile devices require high sensor sensitivity. Researchers have worked on sensor material and structure to achieve high sensitivity. A simple and effective method has been to employ three-dimensional pressure sensors. Three-dimensional (3D) structures dramatically increase sensor sensitivity by achieving larger local deformations for the same pressure. In this paper, the performance, manufacturing method, material, and structure of high-sensitivity flexible pressure sensors based on 3D structures, are reviewed.

• 대한기계학회논문집A
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• 제25권2호
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• pp.323-329
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• 2001

In this paper, we present a collaborative method for material delivery using a distributed vehicle agents system. Generally used AGV(Autonomous Guided Vehicle) systems in FA require extraordinary facilities like guidepaths and landmarks and have numerous limitations for application in different environments. Moreover in the case of controlling multi vehicles, the necessity for developing corporation abilities like loading and unloading materials between vehicles including different types is increasing nowadays for automation of material flow. Thus to compensate and improve the functions of AGV, it is important to endow vehicles with the intelligence to recognize environments and goods and to determine the goal point to approach. In this study we propose an interaction method between hetero-type vehicles and adaptive fuzzy logic controllers for sensor-based path planning methods and material identifying methods which recognizes color. For the purpose of carrying materials to the goal, simple color sensor is used instead vision system to search for material and recognize its color in order to determine the goal point to transfer it to. The proposed method reaveals a great deal of improvement on its performance.

• 한국포장학회지
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• 제23권1호
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• pp.1-7
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• 2017

RFID 시스템의 성능은 태그의 종류 및 리더 자체 성능뿐만 아니라 RFID 시스템을 응용하기 위한 물품의 종류, 포장 재질에 따른 태그 선택과 이에 따른 태그의 부착 위치 그리고 Antenna의 인식각도 등에 따라 큰 차이를 보인다. 본 연구는 이를 위해 RFID 인식률에 영향을 미치는 다양한 요인 중 가장 큰 영향을 미치는 수분함량을 중심으로 수분 함량별 RFID 인식률과 수분 함량에 따른 RFID 태그 사이의 거리 인식률 그리고 수분 함량에 따른 RFID 태그와 접촉면적에 따른 인식률을 측정하였다. 수분함량에 따른 인식률 분석에서는 0~25%의 수분을 함유할 경우 100% 인식이 가능하였으며, 수분함량이 30% 이상부터는 95% 이하 수준으로 떨어졌다. 수분 함량에 따른 RFID 태그 사이의 거리 인식률은 태그가 맞닿아 있을 경우보다 0.3 cm 이상일 경우가 더 인식률이 높았으며, 수분 함량에 따른 RFID 태그와 접촉면적에 따른 인식률에서는 접촉면적이 넓어질수록 인식률이 떨어지는 것을 확인하였다.

• Transactions on Control, Automation and Systems Engineering
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• 제3권2호
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• pp.133-138
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• 2001

This paper describes a system that can used to recognize an unknown material regardless of the change of ambient tem-perature using temperature response curve fitting and fuzzy neural network(FNN). There are some problems to realize the recogni-tion system using temperature response. It requires too many memories to store the vast temperature response data and it has to be filtered to remove noise which occurs in experiment. And the temperature response is influenced by the change of ambient tempera-ture. So, this paper proposes a practical method using curve fitting the remove above problems of memories and nose. And FNN is propose to overcome the problem caused by the change of ambient temperature. Using the FNN which is learned by temperature responses on fixed ambient temperature and known thermal conductivity, the thermal conductivity of the material can be inferred on various ambient temperature. So the material can be recognized by the thermal conductivity.

• 대한치과기공학회지
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• 제38권3호
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• pp.209-216
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• 2016

Purpose: The purpose of this study is to discover the recognition of dental technicians on MSDS and to research the furnishing rate of Material Safety Data Sheet (MSDS) in dental laboratories. Method: 104 dental technicians who were self-written questionnaire. The results were analyzed by SPSS 12.0. The answers to the questionnaire underwent frequency analysis, chi-square test were performed. Results: The result of cross analysis on the occurrence of occupational diseases according to whether MSDS is furnished showed that the group with MSDS furnished had 37.8% of damages due to their occupation, but the group with MSDS unfurnished had 65.7% of damages due to their occupation, which displayed a significant difference(p<0.05). The result of cross analysis on whether the education about chemicals according to whether MSDS is furnished showed there were relatively more responses of no education on the types and characteristics of chemicals, the effect on human body and its risk, emergency measure when exposed to risk, the treating and storing methods and the disposal methods. In addition, there were significant differences on whether all the above education was done between the group with MSDS furnished and the group without MSDS(p<0.000). Conclusion: In order to secure safe working environment of dental technicians and to reduce occurrence of damage caused by chemicals, the related education is necessary. The recognition of dental technicians on MSDS and furnishing rate is increasing but still insufficient, so the related organizations need to establish education and PR measures for prevention of damage.