• Journal of Advanced Marine Engineering and Technology
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• 제32권4호
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• pp.630-636
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• 2008

Monitoring the location of the shoreline and foreshore changes through the time and core tasks are carried out by coastal engineers for a wide range of research. With the advent of digital imaging technology, the shore-based video monitoring system provides many advantages than field surveys. This study presents the development and construction(installation) of video monitoring system to assist the study of coastal and shoreline dynamics and evolution, especially sandbar variation at the Nakdong river estuary. For the purpose of this study, at high building near the Dadea-po beach (St. 2) and Jinudo(island) (St. 1) foreshore region, where coastline variation is highly active, 5 video cameras installed; the coastline movement has monitored since Aug. 2007 using the systems. From the image results of video camera, the 'Spit' type sandbar appears at the foreshore region of Doyodeung and Dadea-po beach and measured the deposition process of Jinudo(island) foreshore region. As a result, the monitoring system using video-based technique built in this study would be able to identify changes in the area and width of shoreline and beach of Nakdong river estuary.

• Journal of Information Processing Systems
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• 제14권6호
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• pp.1480-1493
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• 2018

Recently, computational intelligence has received a lot of attention from researchers due to its potential applications to artificial intelligence. In computer science, computational intelligence refers to a machine's ability to learn how to compete various tasks, such as making observations or carrying out experiments. We adopted a computational intelligence solution to monitoring residual resources in cloud computing environments. The proposed residual resource monitoring scheme periodically monitors the cloud-based host machines, so that the post migration performance of a virtual machine is as consistent with the pre-migration performance as possible. To this end, we use a novel similarity measure to find the best target host to migrate a virtual machine to. The design of the proposed residual resource monitoring scheme helps maintain the quality of service and service level agreement during the migration. We carried out a number of experimental evaluations to demonstrate the effectiveness of the proposed residual resource monitoring scheme. Our results show that the proposed scheme intelligently measures the similarities between virtual machines in cloud computing environments without causing performance degradation, whilst preserving the quality of service and service level agreement.

• 융합신호처리학회논문지
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• 제14권2호
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• pp.124-129
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• 2013

6족 보행 로봇은 2족 또는 4족 보행 로봇에 비하여 안정적인 보행이 가능한 장점이 있다. 따라서 6족 보행 로봇은 이러한 보행의 안정성을 기반으로 다양한 지능적인 동작을 수행하기에 유리한 구조이다. 본 논문에서는 전형적인 6족 보행 로봇과는 달리 로봇의 진행 방향에 대하여 전후 다리와 좌우에 각각 한 쌍의 다리를 갖는 6족 보행 로봇을 제안하고 제안된 로봇을 사용하여 다양한 지능형 동작을 수행한다. 26개의 모듈형 모터를 사용하여 로봇 기구부를 구성하고 호스트 PC, DSP 주제어기, AVR 보조 제어기, 스마트폰/스마트패드로 구성되는 제어기를 구현한다. 구현된 로봇은 스테레오 카메라, 적외선 센서, 초음파 센서, 접촉 센서 등 다양한 센서 데이터를 사용하여 비평탄면 보행, 공차기, 원격 제어 및 3차원 모니터링 등 다양한 지능형 동작을 수행할 수 있음을 실험을 통하여 검증한다.

• Transactions on Electrical and Electronic Materials
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• 제7권2호
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• pp.90-95
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• 2006

An on-line diagnostic test has been studied and performed for the pumped storage generator/motor. This study aims at reducing the diagnostic cost, minimizing the technical dependency on third party manufactures. Further design of on-line diagnostic system such as shorted-turn of rotor winding, partial discharge (PD) of stator winding and air-gap between stator and rotor for pumped storage generator/motor has been verified. In addition, it needs to be validated on site performance of the developed continuous on-line monitoring system for corresponding tasks for the improvement of the availability & reliability during operation.

• 한국기계기술학회지
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• 제13권1호
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• pp.57-64
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• 2011

Recently, all-electrified houses have constructed and some tasks are being carried out to monitor energy consumption patterns. The energy monitoring includes various elements such as temperature, pressure, water flow, $CO_2$, and electricity. In this monitoring, electricity consumption is one of the essential factors because the performance and energy saving levels are described by this physical quantity. This quantity depends on materials, structure, operation of the house, which operation means consumer's life style and usage patterns of home appliances furthermore. Firstly, this paper shows a control simulation method which were developed a few years ago. And some different methods are proposed considering flexible experimental condition.

• 국제학술발표논문집
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• The 6th International Conference on Construction Engineering and Project Management
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• pp.321-323
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• 2015

Monitoring crane motion in real time is the first step to identifying and mitigating crane-related hazards on construction sites. However, no accurate and reliable crane motion capturing technique is available to serve this purpose. The objective of this research is to explore a method for real-time crane motion capturing and investigate an approach for assisting hazard detection. To achieve this goal, this research employed various techniques including: 1) a sensor-based method that accurately, reliably, and comprehensively captures crane motions in real-time; 2) computationally efficient algorithms for fusing and processing sensing data (e.g., distance, angle, acceleration) from different types of sensors; 3) an approach that integrates crane motion data with known as-is environment data to detect hazards associated with lifting tasks; and 4) a strategy that effectively presents crane operator with crane motion information and warn them with potential hazards. A prototype system was developed and tested on a real crane in a field environment. The results show that the system is able to continuously and accurately monitor crane motion in real-time.

• 융합보안논문지
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• 제4권3호
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• pp.1-8
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• 2004

Computational Grid나 Data Grid와 같은 대규모 분산 시스템은 장애 탐지, 성능 측정, 성능튜닝, 성능 예측, 스케줄링, 보안 분석 등의 작업을 위해 많은 량의 모니터링 데이터를 필요로 한다. 네트워크 특성을 나타내는 지표들은 네트워크 모니터링 시스템을 통해 얻어질 수 있으며 시스템에 의해 축적된 자료는 상기한 작업의 정확한 분석을 돕는다. 본 논문에서는 네트워크 모니터링 시스템의 한 형태로 네트워크 모니터링기반의 네트워크 성능 및 보안 분석 시스템을 소개한다. 본 시스템은 이용자 중심으로 네트워크 성능 및 보안 데이터를 제공하며, 이용자가 원격지의 네트워크 특성을 측정 환경에 따라 변화해 가며 측정할 수 있게 함으로써 해당 원격지의 네트워크 서비스를 가늠해 볼 수 있게 한다.

• Nuclear Engineering and Technology
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• 제46권6호
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• pp.737-752
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• 2014

As condition-based maintenance (CBM) has risen as a new trend, there has been an active movement to apply information technology for effective implementation of CBM in power plants. This motivation is widespread in operations and maintenance, including monitoring, diagnosis, prognosis, and decision-making on asset management. Thermal efficiency analysis in nuclear power plants (NPPs) is a longstanding concern being updated with new methodologies in an advanced IT environment. It is also a prominent way to differentiate competitiveness in terms of operations and maintenance costs. Although thermal performance tests implemented using industrial codes and standards can provide officially trustworthy results, they are essentially resource-consuming and maybe even a hind-sighted technique rather than a foresighted one, considering their periodicity. Therefore, if more accurate performance monitoring can be achieved using advanced data analysis techniques, we can expect more optimized operations and maintenance. This paper proposes a framework and describes associated methodologies for in-situ thermal performance analysis, which differs from conventional performance monitoring. The methodologies are effective for monitoring, diagnosis, and prognosis in pursuit of CBM. Our enabling techniques cover the intelligent removal of random and systematic errors, deviation detection between a best condition and a currently measured condition, degradation diagnosis using a structured knowledge base, and prognosis for decision-making about maintenance tasks. We also discuss how our new methods can be incorporated with existing performance tests. We provide guidance and directions for developers and end-users interested in in-situ thermal performance management, particularly in NPPs with large steam turbines.

• 융합보안논문지
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• 제17권2호
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• pp.69-80
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• 2017

IT시대의 고도화로 인한 사이버 범죄는 지능화, 다양화, 고도화 되고 있는 가운데 보안 관제의 역할은 더욱 중요해졌다. 과거 방화벽이나 IDS 등 보안 장비에만 의존하던 방식과는 달리 실시간 감시를 통해 사이버 공격에 대한 대응을 하는 보안 관제 업무가 광범위해지고 그 역할 또한 중요하게 되었다. 현재의 사이버 위협에 대해 보안 장비만으로는 안정적인 방어를 할 수 없기 때문에 보안 장비를 운영 및 감시하고 실시간적인 대응을 할 수 있는 보안 관제의 업무가 필수 요소가 된 것이다. 본 연구에서는 네트워크 보안시스템을 효율적으로 구성하는 방법과 보안시스템을 실시간 운영하는 보안관제의 현황과 개선방안에 대해 다루고자 한다.

• Structural Monitoring and Maintenance
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• 제7권4호
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• pp.345-365
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• 2020

At present, many machine leaning and data mining methods are used for analyzing and predicting structural response characteristics. However, the platform that combines big data analysis methods with online and offline analysis modules has not been used in actual projects. This work is dedicated to developing a multifunctional Hadoop-Spark big data platform for bridges to monitor and evaluate the serviceability based on structural health monitoring system. It realizes rapid processing, analysis and storage of collected health monitoring data. The platform contains offline computing and online analysis modules, using Hadoop-Spark environment. Hadoop provides the overall framework and storage subsystem for big data platform, while Spark is used for online computing. Finally, the big data Hadoop-Spark platform computational performance is verified through several actual analysis tasks. Experiments show the Hadoop-Spark big data platform has good fault tolerance, scalability and online analysis performance. It can meet the daily analysis requirements of 5s/time for one bridge and 40s/time for 100 bridges.