• 센서학회지
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• 제28권1호
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• pp.7-12
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• 2019

Significant progress has been made recently in detection of highly sensitive volatile organic compounds (VOCs) using chemical sensors. Combined with the progress in design of micro sensors array and electronic nose systems, these advances enable new applications for detection of extremely low concentrations of breath-related VOCs. State of the art detection technology in turn enables commercial sensor systems for health care applications, with high detection sensitivity and small size, weight and power consumption characteristics. We have been developing an intelligent electronic nose system for detection of VOCs for healthcare breath analysis applications. This paper reviews our contribution to monitoring of respiratory diseases and to diabetic monitoring using an intelligent electronic nose system for detection of low concentration VOCs using breath analysis techniques.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2001년도 추계학술대회 학술발표 논문집
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• pp.78-82
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• 2001

Electronic Weighting Machine is used an electronic scale which has many trouble because of broken load cells. In this paper, we propose an intelligent Diagnosis System will for an electronic weighting machine using fuzzy logic. It's purpose be detect of the load cell's trouble. The electronic circuit of system, which call 'junction box', will be connected resistances in a series at circuit of Wheatstone Bridge for monitoring the condition of load cells.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2001년도 합동 추계학술대회 논문집 정보 및 제어부문
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• pp.268-271
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• 2001

This paper presents observer-based on-line overload monitoring scheme for a PMSM(Permanent Magnet Synchronous Motor) drive system. Proposed scheme is to monitor overload status of motor drive system at remote place. The drive system is previously installed on main system and has no communication function. Proposed scheme consists of intelligent sensing head and monitoring part. Intelligent sensing head acquire motor 3-Phase currents and transmit data to monitoring part over serial communication interface. Monitoring part estimates motor speed using state observer. By comparing estimated speed with reference speed, we can detect motor fault. In this scheme observed information must coded and transmitted over a digital communication channel with finite capacity. We consider communication constraint as time delay and we design discrete-time observer. The proposed scheme is tested on the actual drive system.

• 한국재난정보학회 논문집
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• 제10권3호
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• pp.374-387
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• 2014

성폭력 범죄는 재범의 개연성이 높은 범죄이므로, 이에 대한 대책으로 도입된 것이 전자감독제도이다. 본 제도는 전자장치를 통해 피부착자의 위치를 24시간 파악할 수 있기 때문에 피부착자에게 심리적 정신적 압박감을 주어, 어느 정도는 범죄의 의도를 억제하는데 효과가 있다. 하지만 강력한 의지를 가진 범죄자들의 재범을 막는데 한계가 있다. 현재 연구 중인 차세대 지능형 전자발찌는 전자감독 대상자의 위치정보와 부착센서를 통한 행동 및 신체적 상태 변화 정보를 실시간으로 수집하고 분석한다. 이를 기반으로 범죄 발생의 징후를 사전에 예측하여 범죄의도를 사전에 차단하거나, 실행중인 범죄가 확대되기 전에 중지시키는 데 그 목적이 있다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제12권3호
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• pp.193-197
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• 2012

This paper focuses on identifying which appliance is currently operating by analyzing electrical load signature for home energy monitoring system. The identification framework is comprised of three steps. Firstly, specific appliance features, or signatures, were chosen, which are DC (Duty Cycle), SO (Slope of On-state), VO (Variance of On-state), and ZC (Zero Crossing) by reviewing observations of appliances from 13 houses for 3 days. Five appliances of electrical rice cooker, kimchi-refrigerator, PC, refrigerator, and TV were chosen for the identification with high penetration rate and total operation-time in Korea. Secondly, K-NN and Naive Bayesian classifiers, which are commonly used in many applications, are employed to estimate from which appliance the signatures are obtained. Lastly, one of candidates is selected as final identification result by majority voting. The proposed identification frame showed identification success rate of 94.23%.

• 한국정보통신학회논문지
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• 제17권11호
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• pp.2708-2716
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• 2013

본 논문에서는 지능형 디지털 선박의 추진 시스템에서 요구되는 임베디드 원격 모니터링 진단 시스템 개발에 관하여 기술하였다. 원격 모니터링 진단 시스템은 크게 선박 통합 관리시스템, 서버, 원격 모니터링을 담당하는 전용 휴대용 단말기와 상용 스마트폰으로 구성되며, 이를 위하여 사용자 중심의 UI 환경을 가진 통신 프로토콜을 설계하였다. 제안된 시스템은 효율적인 이중구조 통신채널로서 원격 모니터링 시스템에서 간편하면서도 효율적인 통신 프로토콜을 제공하며, 오작동하는 무선통신 채널은 즉시 교체된다. 본 시스템에서는 LCD 화면을 위해 효율적인 임베디드 리눅스 UI를 개발하였으며, 개발된 무선 모니터링 시스템을 평가하기 위하여 실제로 디지털 선박에서 성능을 검증하였다.

• 한국지능시스템학회논문지
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• 제11권9호
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• pp.807-810
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• 2001

본 논문은 전자 저울 시스템의 고장으로 인한 손실을 지능형 알고리즘에 의해 사전에 진단하고 예방하는 시스템을 구현하는 것을 목적으로 한다. 전자 저울에 일반적으로 사용되는 로드셀의 구성회로에 저항을 하나 삽입함으로써 필요한 정보를 획득하고 이를 분석, 추론하는 알고리즘을 구성하여 그 효용성을 밝힌다.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2005년도 추계학술대회 학술발표 논문집 제15권 제2호
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• pp.87-90
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• 2005

The Intelligent Home provides convenient and comfortable living environment by performing automatic control, heating and air-conditioning, ventilation, home appliances control, home robot control, energy management, visitor management security management, internet, heath state monitoring, etc. through wired/ wireless network and device in the household. Along with the presentation of the features of economical broadband power line communication in the network configuration for new and old houses, its improvement method is proposed.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권10호
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• pp.3554-3570
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• 2021

With the rapid development of the Chinese water project, the safety monitoring of dams is urgently needed. Many drawbacks exist in dams, such as high monitoring costs, a limited equipment service life, long-term monitoring difficulties. MEMS sensors have the advantages of low cost, high precision, easy installation, and simplicity, so they have broad application prospects in engineering measurements. This paper designs intelligent monitoring based on the collaborative measurement of dual MEMS sensors. The system first determines the endpoint coordinates of the sensor array by the coordinate transformation relationship in the monitoring system and then obtains the dam settlement according to the endpoint coordinates. Next, this paper proposes a dual-MEMS sensor collaborative measurement algorithm that builds a mathematical model of the dual-sensor measurement. The monitoring system realizes mutual compensation between sensor measurement data by calculating the motion constraint matrix between the two sensors. Compared with the single-sensor measurement, the dual-sensor measurement algorithm is more accurate and can improve the reliability of long-term monitoring data. Finally, the experimental results show that the dam subsidence monitoring system proposed in this paper fully meets the engineering monitoring accuracy needs, and the dual-sensor collaborative measurement system is more stable than the single-sensor monitoring system.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권5호
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• pp.1597-1610
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• 2022

At present, the main method of high-speed train chassis detection is using computer vision technology to extract keypoints from two related chassis images firstly, then matching these keypoints to find the pixel-level correspondence between these two images, finally, detection and other steps are performed. The quality and accuracy of image matching are very important for subsequent defect detection. Current traditional matching methods are difficult to meet the actual requirements for the generalization of complex scenes such as weather, illumination, and seasonal changes. Therefore, it is of great significance to study the high-speed train image matching method based on deep learning. This paper establishes a high-speed train chassis image matching dataset, including random perspective changes and optical distortion, to simulate the changes in the actual working environment of the high-speed rail system as much as possible. This work designs a convolutional neural network to intensively extract keypoints, so as to alleviate the problems of current methods. With multi-level features, on the one hand, the network restores low-level details, thereby improving the localization accuracy of keypoints, on the other hand, the network can generate robust keypoint descriptors. Detailed experiments show the huge improvement of the proposed network over traditional methods.