• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1995년도 춘계학술대회
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• pp.155-159
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• 1995

A design method that can easily construct intelligent patient monitoring systems is proposed. To achieve the design method, the SES/MB concept and a discrete event-based logic control formalism based on a set theory is introduced. In this control paradigm the controller expects to receive confirming sensor responses to its control commands within definite time windows determined by DEVS model of the system under control. Because data to be used for rule-based symbolic reasoning are to be abstracted, several AI methods are applied the processes. These methods are applied to intelligent patient monitoring systems so that they facilitate transformation from low level raw data to high level linguistic data. Model-based system representations have advantages of reusability, extensibility, flexsibility, independent testability and encapsulation.

• 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.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권4호
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• pp.1555-1570
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• 2016

For monitoring forest fires, a real-time system to prevent fires in wider areas should be supported consistently. However, there has still been a lack of the support for real-time system related to forest fire monitoring. In addition, the 'real-time' processing in a forest fire detection system can lead to excessive consumption of energy. To solve these problems, the intelligent data acquisition of sensing nodes is required, and the maximum energy savings as well as rapid and accurate detection by flame sensors need to be done. In this regard, this paper proposes a node built-in filter algorithm for intelligent data collection of sensing nodes for the rapid detection of forest fires with focus on reducing the power consumption of the remote sensing nodes and providing efficient wireless sensor network-based forest environment monitoring in terms of data transmission, network stability and data acquisition. The experimental result showed that battery life can be extended through the intelligent sampling of remote sensing nodes, and the average accuracy of the measurement of flame detection based on the distance is 44%.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권11호
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• pp.3970-3990
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• 2021

In view of the problems of insufficient data collection and processing capability of multi-source heterogeneous equipment, and low visibility of equipment status at the ship block construction site. A data collection method for ship block construction equipment based on wireless sensor network (WSN) technology and a data processing method based on edge computing were proposed. Based on the Browser/Server (B/S) architecture and the OneNET platform, an online monitoring system for ship block construction equipment was designed and developed, which realized the visual online monitoring and management of the ship block construction equipment status. Not only that, the feasibility and reliability of the monitoring system were verified by using the intelligent tire frame system as the application object. The research of this project can lay the foundation for the ship block construction equipment management and the ship block intelligent construction, and ultimately improve the quality and efficiency of ship block construction.

• 한국정보통신설비학회:학술대회논문집
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• 한국정보통신설비학회 2008년도 정보통신설비 학술대회
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• pp.463-465
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• 2008

This article describes a design and implementation of low power consumption wireless sensor network platform for intelligent motorway monitoring. There are many dangerous situations on motorway, foggy weathers, rapidly changes of temperature, etc. We designed a system for monitoring motorway environment for report dangerous situation. We introduce this system and its lowpower consumption characteristics which important to battery based system.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2005년도 추계학술대회 논문집
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• pp.915-920
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• 2005

Passenger safety is a primary concern of railway system but, it has been urgent issue that dozens of people are killed every year when they fall off from train platforms. Recently, advancements in IT have enabled applying vision sensors to railway environments, such as CCTV and various camera sensors. The objective of this work is to propose technical and system requirements for establishing intelligent monitoring system using camera equipments in urban transit system. We suppose the system is to determine automatically and in real-time whether anyone or anything is in monitoring area. To achieve the goal, we analyze recent image processing technologies for detection and recognition, and suggest possible direction of system development for applying urban transit system. According to the results, we expect the proposed system requirements will playa key role for establishing highly intelligent monitoring system in railway.

• 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.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2006년 학술대회 논문집 정보 및 제어부문
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• pp.470-472
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• 2006

Sensor networks are the results of convergence of very important technologies such as wireless communication and micro electromechanical systems. In recent years, sensor networks found a wide applicability in various fields such as environment and health, industry scene system monitoring, etc. A very important step for these many applications is pattern classification and recognition of data collected by sensors installed or deployed in different ways. But, pattern classification and recognition are sometimes difficult to perform. Systematic approach to pattern classification based on modem learning techniques like Multivariate Gaussian mixture models, can greatly simplify the process of developing and implementing real-time classification models. This paper proposes a new recognition system which is hierarchically composed of many sensor nodes having the capability of simple processing and wireless communication. The proposed system is able to perform context classification of sensed data using the Multivariate Gaussian function. In order to verify the usefulness of the proposed system, it was applied to intelligent dust collecting system.

• 한국통신학회논문지
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• 제41권11호
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• pp.1446-1455
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• 2016

최근 컨테이너를 이용한 신선화물, 위험화물, 고가품 등이 해상 운송되면서 화주나 선사들이 운송중인 화물의 모니터링에 대한 요구가 증가하고 있다. 사용자 요구사항 증가에 따라 운송 중 컨테이너의 상태 모니터링에 대한 기술들이 국내외에서 개발되고 있다. 하지만 개발된 기술들은 대부분 이동통신을 기반으로 수집한 컨테이너의 상태 정보를 전송하기 때문에 선박에 통신 인프라를 설치하는데 많은 비용이 필요하다. 또한 해운물류에서 컨테이너가 적재되는 선박 홀드는 운항 중 완전히 밀폐되고, 그 위에 컨테이너가 다단으로 적재되기 때문에 홀드에 적재된 많은 컨테이너들의 상태를 모니터링 하는데 한계가 있다. 본 논문에서는 낮은 비용으로 선박 내 위치한 컨테이너의 상태를 선박에서 실시간으로 확인 가능한 IP-RFID 기술을 이용한 컨테이너 상태 모니터링 시스템을 소개한다. 또한 소개한 시스템을 한국과 중국을 오가는 선박에 설치하여 실제 물류구간에서 운항중인 선박 홀드에 적재된 컨테이너의 상태 모니터링이 가능한지를 실험하였다. 실험결과 기존 개발되었던 컨테이너 상태 모니터링 시스템에 비해 저렴한 비용으로 홀드에 위치한 컨테이너의 상태 모니터링이 가능함을 확인하였다.

• 한국산업융합학회 논문집
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• 제27권1호
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• pp.25-37
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• 2024

The objective of this study was to create intelligent rail robots that are optimized for facility management and implement digital twin systems for smart road tunnel management. An autonomous surveillance system is formed by combining the sensing platform consisting of railing robots, fixed cameras and environmental detection sensors with the digital twin data platform technology for tunnel monitoring and early fire suppression. In order to develop mobile rail robots for fire extinguishing, we also designed and manufactured robots for extinguishing & monitoring and fire extinguishing devices, and then we examined the optimization of all parts. Our next step was to build a digital twin for road tunnel management by developing continuous image display system and implementing 3D modeling. After constructing prototypes, we attempted simulations by configuring abnormal symptom scenarios, such as vehicles fires. This study's proposal proposes high-accuracy risk prediction services that will enable intelligent management of risks in the tunnel with early response at each stage, using the data collected from the intelligent rail robots and digital twin systems.