• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.179.6-179
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• 2001

This paper proposes the recognition method of the strip shape using the Least-Square method and the distinction method of the asymmetric shape and the compensation method upon the shape control values for the stainless steel cold rolling mill. This paper proposes the shape recognition method before control and the compensation method to minimize the fluctuation of the shape deviation and to get symmetric shape. This paper shows on line test results to verify the performance of the control method for the process. The experiments have been performed with respect to various material type, thickness, and strip width. The performance of the proposed method is obtained excellent quality and high productivity as results.

• Proceedings of the KIEE Conference
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• 2006.04a
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• pp.114-116
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• 2006

This paper is to propose the palm print recognition system using wavelet transform. The palm print is frequently used as the material for the biometric recognition system such as the finger print, iris, face, etc. Since the palm print has lots of properties which include principle line, wrinkles, ridge and so forth, the ways of the implementation of the system are various. In this paper, at first, the palm print image is acquired and then some level of wavelet transform is performed. The coefficients become to be some blocks size of M by N after divided into the horizontal, vertical, diagonal components each level. The mean values, which are calculated with values of each block, are used as the feature vector. To compare between the stored template and the acquired vectors, we adopt the PNN (Probability Neural Network) method.

• Electrical & Electronic Materials
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• v.10 no.9
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• pp.916-921
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• 1997

In this study Characteristics of 3-D underwater object recognition independent of translation using the self-made ultrasonic sensor fabricated with porous piezoelectric resonator and presented. The sensor was satisfied with requirement of ultrasonic sensor. The recognition rates for the training data and the testing data are 97.45 and 91.25[%] respectively using the self-made ultrasonic sensor and SCL(Simple Competitive Learning) neural network. According to the experimental results It is believed that the self-made ultrasonic sensor can be applied as sensor of SONAR system.

• Journal of Institute of Control, Robotics and Systems
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• v.6 no.1
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• pp.91-97
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• 2000

In this paper, the illuminator is designed to recognize the shape and the existence of holes of radiation fin in the point that the light reflection characteristics are different according to the roughness of the material. The threshold value, the positions of holes and the black pixel nembers in the positon are obtained under the illuminator, in accordance with the reference image, by applying binary conversion and hole segmentation algorithm, as they are suggested in this paper, The existence and shape of hole are recognized by calculating the distance and feature value in the test image, which is obtained from the parameters of reference image. It is programmed to apply to GUI(Graphic User the Interface) in windows. More than 98% of recognition rate is shown, as it is applied to three different sizes of the radiation fin.

• Electrical & Electronic Materials
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• v.11 no.11
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• pp.1-8
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• 1998

This paper presents an arificial neuro-fuzzy technique based prtial discharge (PD) pattern classifier to power system application. This may require a complicated analysis method employ -ing an experts system due to very complex progressing discharge form under exter-nal stress. After referring briefly to the developments of artificical neural network based PD measurements, the paper outlines how the introduction of new emerging technology has resulted in the design of a number of PD diagnostic systems for practical applicaton of residual lifetime prediction. The appropriate PD data base structure and selection of learning data size of PD pattern based on fractal dimentsional and 3-D PD-normalization, extraction of relevant characteristic fea-ture of PD recognition are discussed. Some practical aspects encountered with unknown stress in the neuro-fuzzy techniques based real time PD recognition are also addressed.

• Journal of Institute of Control, Robotics and Systems
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• v.12 no.6
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• pp.580-584
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• 2006

Material information for environment may be useful to accomplish mobile robot localization. A procedure to classify a set of indoor materials (glass, steel, wood, aluminum and concrete) with the reflected signal of ultrasonic sensor is proposed in this paper. The main idea is to use material-specific reflection characteristics for the recognition of material type. To achieve the classification task, we modeled reflected signal as a maximum amplitude with respect to distance. In this way, we can generate echo signal models for the given materials and these models are used to compare with the current sensor reading. The experimental results show that the proposed method may give material information during map building task of mobile robot.

• The Journal of the Korea Contents Association
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• v.18 no.11
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• pp.540-549
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• 2018

This study was conducted on 238 dental hygienists working in Daegu and Gyeongbuk area. In order to understand the status of harmful transmission of dental materials by type of work, we compared the differences in exposure time and work environment characteristics of hospital types and investigated the difference in the degree of recognition of material safety data. The results of the study were as follows: In case of hospitals, the exposure time of dust generated from chemicals was the longest. Resin filling, contact with disinfectant. 37 workers (29.4%) and 14 workers (12.5%) answered that they perceive the question about whether they are aware of the material safety data sheet (MSDS) for dental materials. There were 18 hospital workers and 6 clinic workers who had experience reading MSDS before using dental materials. The respondents who answered that they provided the material safety data of the dental materials used had a 2.39 times MSDS in hospital workers. Therefore, by recognizing the health hazards of chemical substances in accordance with the characteristics of each type of hospital and continuing to conduct health and safety education, the work environment should be improved by establishing proper recognition of MSDS information. It suggests the necessity of a system that can strengthen the management of chemical information provision and guarantee the strategic approach and workers' right to know.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.813-814
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• 2023

매년 졸음 및 부주의 운전으로 인한 교통사고로 인명 및 재산 피해가 끊이지 않고 있다. 즉각적인 졸음 감지만을 위한 기존 시스템의 단점과 한계를 보완하고자, 본 논문에서는 위험 행동을 감지한 후 당시 사진과 데이터를 저장하고 이를 점수로 환산하여 장기적인 운전 습관 개선을 목표로 하는 운전자 관리 감독 시스템을 구현하였다. 이 시스템은 화물차 운전자와 같이 장시간 운전을 하는 대상에게 안전 주행을 장려하고 올바른 운전문화를 확립하게 하여 교통안전에 긍정적 역할을 담당할 수 있다.

• Electrical & Electronic Materials
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• v.8 no.4
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• pp.509-517
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• 1995

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 1997.04a
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• pp.99-102
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• 1997

An electronic nose system is an instrument designed far mimicking human olfactory system. It consists generally of gas (odor) sensor array corresponding to olfactory receptors of human nose and artificial neural network pattern recognition technique based on human biological odor sensing mechanism. Considerable attempts to develop the electronic nose system have been made far applications in the fields of floods, drinks, cosmetics, environment monitoring, etc. A portable electronic nose system has been fabricated by using oxide semiconductor gas sensor array and pattern recognition technique such as principal component analysis (PCA) and back propagation artificial neural network The sensor array consists of six thick film gas sensors whose sensing layers are Pd-doped WO$_3$ Pt-doped SnO$_2$ TiO$_2$-Sb$_2$O$_3$-Pd-doped SnO$_2$ TiO$_2$-Sb$_2$O$_{5}$-Pd-doped SnO$_2$+Pd filter layer, A1$_2$O$_3$-doped ZnO and PdCl$_2$-doped SnO$_2$. As an application the system has been used to identify CO/HC car exhausting gases and the identification has been successfully demonstrated.d.