• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.252-254
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• 2022

Hyperledger Indy는 탈중앙 신원증명을 위한 블록체인 기반 분산원장으로 디지털 신원증명을 위한 여러 기능을 제공한다. 디지털 신원증명은 디지털 생태계의 핵심 요소이기 때문에 디지털 신원증명 시스템의 가용성 확보는 끊김이 없는 서비스를 제공한다는 관점에서 중요하다. 본 논문에서는 Hyperledger Indy 기반 신원증명 시스템의 가용성을 높이는 핵심 아이디어의 검증 결과를 근거로 모니터링 시스템의 설계 내용을 기술한다.

• Journal of Korea Multimedia Society
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• v.12 no.11
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• pp.1629-1639
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• 2009

This paper describes the environmental monitoring system for supporting comfortable subways based on USN. Our development system includes the sensor field based on integrated sensor, monitoring system for supporting the local and remote monitoring and middle-ware performs the collecting, analyzing, and storing the data. In this paper, we installed the temperature, humidity, micro-dust sensor and water-level sensor for supporting the rail-roads and make up the integrated sensor enables to reuse the analog device from 4~20mA output with connection of wireless sensor device. Middleware includes the modules of collecting, analysis, and storing the data and monitoring system supports the local for administrator and remote monitoring for citizen services based on web. The middleware and monitoring in this paper is comprised of some components can reuse and support the change of application and sensors. Our development system supports the mobility of sensor devices and distributes system. Data collection and management function supported by middleware will use assessment.

• Proceedings of the Korea Multimedia Society Conference
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• 1998.10a
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• pp.95-99
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• 1998

대부분의 정보는 시간 제약을 가지므로 사용자는 필요 정보를 일정 시간 내에 얻어야만 한다. 시간적 제약을 가진 정보를 적절하게 서비스하려면 분산된 정보를 실시간에 검색하고 서비스해 주는 실시간 검색시스템이 필요할 뿐 아니라, 필요에 따라 실시간으로 검색시스템의 정보를 갱신해 주어야 한다. 본 논문에서는 인터넷을 이용한 지역 특성에 맞는 인터넷 정보 시스템 모델을 제안하고, 지역정보망을 위한 실시간 제어 검색엔진을 설계 및 구현하였다. 따라서 분산되어 있는 정보를 쉽게 모아서 갱신해 줄 수 있는 지능적인 로봇의 구현과 주기적으로 네트워크의 부하를 모니터링하고 모니터링한 데이터를 기반으로 로봇의 동작 정책을 수립하여 전체 시스템의 성능을 향상시킬 수 있는 실시간 로봇제어 정책이 가능하다.

• Proceedings of the KIEE Conference
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• 2006.10c
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• pp.151-153
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• 2006

When distributed powers are interconnected to the grid, lack of source stability may cause some events that should be measured and stored as soon as they occur. This paper presents a real-time hardware system that has been developed for quick and reliable monitoring of the distributed powers quality. The system is composed of a digital signal processor (MPC7410, Motorola) and a 16 bits A/D board (VMIVME3122, GE). To guarantee the real time operation, it is based on a real time OS (VxWorks). Hardware tests of the embedded system have been made to check the performances of the proposed system. Test signals of several events are generated by using a LabView (hardware) system. The tests show that the system complies with the desired IEEE standard for power quality monitoring.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.11a
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• pp.219-220
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• 2009

과학 기술의 발전과 함께 함정에 탑재되는 무기와 각종 장비들은 컴퓨터 시스템에 의해 통제, 조작되는 형태로 변하고 있다. 다수의 장비들에 대한 모니터링 정보를 비롯한 다수의 메시지와 이를 조작하는 다양한 프로세스들을 관리해야 할 필요성이 증가하고 있다. 대규모의 실시간 메시지와 분산 환경의 감시의 일관성을 위해 해외에서는 기술표준화 작업이 진행되고 있으며, 이는 DDS(Data Distribution Service)를 기반으로 구성되고 있다. 본 논문에서는 컴퓨터 시스템에 대한 통제를 위해 OMG의 DDS(Data Distribution Service) 통신 미들웨어와 공개 프로젝트인 Fuse를 이용하여 분산 환경의 모니터링 및 파일 복제 서비스를 제공하는 전투 체계 관리 소프트웨어인 CSIMS를 설계, 구현한다.

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 1996.10a
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• pp.476-479
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• 1996

• Journal of the Korean Geotechnical Society
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• v.40 no.3
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• pp.41-54
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• 2024

Regular monitoring plays a crucial role in ensuring the safety of geotechnical structures. Currently, nondestructive methods are employed to monitor such structures to minimize the impact, e.g., sensor-based accelerometers, displacement meters, image-based lasers, and drone imaging. These technologies can observe surface changes; however, they frequently suffer difficulties in terms of identifying changes in internal properties. To monitor changes in internal properties, in situ geotechnical investigations can be employed. A nondestructive test that can be used for this purpose is the spectral analysis of surface wave (SASW) test using geophones. The SASW test is a nondestructive method; however, due to the time required for data interpretation and the difficulty in analyzing the data, it is challenging to use the SASW test for monitoring applications that require frequent observations. However, it is possible to apply the first-step analysis, which yields the dispersion curve, for monitoring rather than the complete SASW analysis, which yields the shear wave velocity. Thus, this paper presents a fundamental study on the phase difference that derives the dispersion curve to utilize the SASW test for monitoring. The reliability of each phase difference interval is examined to determine the boundary to the subjected monitor. The study used phase difference data obtained using a geophone from a single-layered, homogeneous ground site to evaluate reliable boundaries. The findings of this study are expected to improve the utility of monitoring by identifying the ideal boundary for phase difference data.

• Journal of KIISE:Software and Applications
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• v.30 no.5_6
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• pp.529-539
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• 2003

Due to the emersion of J2EE (Java 2, Enterprise Edition), many enterprises inside and outside of the country have been developing the enterprise applications appropriate to the J2EE model. With the help of the component model of Enterprise JavaBeans (EJB) which is the J2EE core technology, we can develop the distributed object applications quite simple. EJB application can be implemented by using the component-oriented object transaction middleware and the most applications utilize the distributed transaction. Due to these characteristics, EJB technology became popular and then the study for EJB based application has been done quite actively. However, the research of techniques for the performance monitoring during run-time of the EJB applications has not been done enough. In this paper, we propose the techniques for monitoring the performance of EJB Application on the run time. First, we explore the workflow for the EJB application service and classily the internal operation into several elements. The proposed techniques provide monitoring the performance elements between the classified elements. We can also monitor by extracting the performance information like state transition and process time of the bean which is related to the lifetime occurred during one workflow, and the resource utilization rate.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.10
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• pp.2450-2456
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• 2015

In this paper, we propose a real-time remote monitoring system for distributed solar power generation system. The proposed system consists of PVC, UTC, OTC and monitoring server. PVC collects the operational information from the PV's inverter via serial interface. The sensing data is transmitted to the server by wireless communications and stored in the DB server. The PV's status is monitored via UTC, and the operating of PVC and UTC are managed by OTC. In addition, by providing information about the power generated by PV system and failure diagnosis in real time, the proposed system shows the possibility of reducing the maintenance costs and improved failure recovery time.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.32 no.6
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• pp.375-381
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• 2019

Structural health monitoring to determine structural conditions at an early stage and to efficiently manage the energy requirements of buildings using systems that collects relevant data, is under active investigation. Structural monitoring requires cutting-edge technology in which construction, sensing, and ICT technologies are combined. However, the scope of application is limited because expensive sensors and specialized technical skills are often required. In this study, a Raspberry Pi module, one of the most widely used single board computers, a Lora module that is capable of long-distance communication at low power, and a high-performance accelerometer are used to construct a wireless edge computing system that can monitor building response over an extended time period. In addition, the Raspberry Pi module utilizes an edge computing algorithm, and only meaningful data is obtained from the vast amount of acceleration data acquired in real-time. The raw data acquired using Wi-Fi communication are compared to the Laura data to evaluate the accuracy of the data obtained using the system.