• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.2
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• pp.920-926
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• 2011

In this paper, a solar power emotional LED lightening street lamps with multi control sun tracker is presented. The proposed system has a multiple control sun tracking function and high quality emotional LED lamps. The system is designed to absorb maximum sun lights by temperature sensor and humidity sensor of control circuits. A battery charge-discharge controller is developed for high efficient usage of battery charger for utilization of new and renewal energy. An interface circuit for remote monitoring and controlling is included in the developed system. The proposed multi tracking solar power emotional LED street lamps is better than conventional systems in aspect of tracking operation and energy efficiency, and expected to be a leading model for next generation solar power street lamp system, because it is a new technology combining sun tracking solar power system and emotional lightening system.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2017.06a
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• pp.107-108
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• 2017

횡단보도 인근에서는 보행취약자의 사고가 끊이지 않고 있으며 사고예방 및 사고의 절감을 위하여 선제적안 안전시스템의 개발이 요구되고 있다. 선제적 안전시스템의 개발을 위하여 빅데이터를 이용한 안전 데이터 도출, 영상분석을 이용한 보행자 행동특성 모니터링 시스템의 개발 및 사고감소를 위한 안전 시스템 개발이 진행되고 있다. 보행취약자 위험상황 판단에 대한 정의를 빅데이터 분석을 통해 도출하고 횡단보도 주변 안전 시스템의 개발을 기존 시스템에 적용 및 새로운 시스템을 개발하며 이에 적합한 딥러닝 영상분석 시스템을 개발하였다. 본 논문에서는 딥러닝 모델을 이용하여 객체의 검출, 분석을 수행하는 객체 검출부, 객체의 포즈와 행동을 보여주는 영상 분석부로 구성되어 있으며 기존 모델을 응용하여 최적화한 모델을 적용하였다. 딥러닝 모델의 구동은 리눅스 서버에서 운용되고 있으며 딥러닝 모델 구동을 위한 여러 툴을 적용하였다. 본 연구를 통하여 보행취약자의 검출, 추적, 보행취약자의 포즈 및 위험상황을 인식하고 안전시스템과 연계할 수 있도록 구성하였다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.41 no.12
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• pp.1771-1779
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• 2016

In these days, the world is getting connected to the internet like a sophisticated net, such an environment gives a suitable environment for cyber attackers, so-called cyber-terrorists. As a result, a number of cyber attacks has significantly increased and researches to find cyber attack traffics in the field of network monitoring has also been proceeding. But cyber attack traffics have been appearing in new forms in every attack making it harder to monitor. This paper suggests a method of tracking down cyber attack traffic sources by defining relational information flow of traffic data from highest cascaded and grouped relational flow. The result of applying this cyber attack source tracking method to real cyber attack traffic, was found to be reliable with quality results.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.2
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• pp.41-49
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• 2024

This paper discusses the modeling and implementation of a worker location system at a shipbuilding site. The importance of worker location in an industrial environment is highlighted as a critical element in the prevention of industrial accidents. The paper presents a worker tracking system that integrates power line and beacon communication to accurately track worker position. Through experiments, the paper demonstrates how to monitor the changes in worker location based on different scenarios and how to access the status of worker location using the manager's web service. The paper can be used for the design of a system that will provide real-time location information to safety managers for the improvement of worker safety management.

• Journal of KIISE:Computer Systems and Theory
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• v.30 no.11
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• pp.610-620
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• 2003

Various shadows are one of main factors that cause errors in vision based vehicle detection. In this paper, two simple methods, land mark based method and BS & Edge method, are proposed for vehicle detection and shadow rejection. In the experiments, the accuracy of vehicle detection is higher than 96%, during which the shadows arisen from roadside buildings grew considerably. Based on these two methods, vehicle counting, tracking, classification, and speed estimation are achieved so that real-time traffic parameters concerning traffic flow can be extracted to describe the load of each lane.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.208-210
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• 2014

IOT(Internet of Things) through Radio Frequency Identification (RFID), Wireless Sensors, Global Positioning Systems, Laser Scanners and other information sensing device, according to the agreed protocol keep anything connected to the Internet for information exchange and communication. It's a network what in order to achieve intelligent identify, locate, track, monitor and manage. With the development of IOT technology, data growth will explode once again on the existing basis, which gives data management enormous challenges. This paper described characteristics of data in IOT and analysis existing data management technologies, then proposed a data management framework to conduct the research on the data management of IOT.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.11 no.6
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• pp.718-723
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• 2018

In a positive Internet of Medical Things (IoMT) environment, by combining the latest computer network technology with IoT technology, remote health care such as health care and monitoring is improved through the provision of quality medical information services. In this paper, we identified and compared the platforms applied with blockchain and presented the results of developing the product distribution de-centralized DApp. In the process, we developed a distribution platform that can use blockchain technology to identify product fraud, manage data, manage customers' information, prevent forgery, track transaction history, and facilitate product transactions.

• Journal of Advanced Navigation Technology
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• v.15 no.5
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• pp.714-721
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• 2011

In this paper, developing management programs for EMI tracking can navigate the site quickly and solve EMI tracking cause and location to use materials such as analysis of air accidents, EMI site location data of 1000 RF companys, radio wave spectrum analysis and audio data. these data are databased and used comparable data. Also, EMI has been prevented by establishing continuous monitoring system through a 24-hour surveillance. Therefore we were able to provide high quality air waves in order to prevent aircraft accidents. In addition, radar control staff of Korea Airports Corporation against passenger aircraft that will prevent the worst aircraft accident have been established based to continue periodic aviation frequency protection and Portable Electronic Devices(PED) on board aircraft to prevent the culture of safety campaign.

• Journal of Convergence for Information Technology
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• v.10 no.1
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• pp.13-21
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• 2020

Due to the dramatic improvement of Internet technologies and digital content authoring, many independent media creators produce various digital items and share them with others. In this situation, the independent media platforms must support the well-defined usage rights(licenses) specification, usage monitoring, and license trading trace for enabling complex types for selling, buying, using and reproducing digital items created by independent media creators. In this paper, we design an extended policy model based on the ODRL policy class model and implement a user interface prototype to specify multi types of usage rights like use, own, share, and cede. Our proposed model can be referenced to create license management modules of the independent media platforms.

• Journal of the Korean Society of Radiology
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• v.82 no.2
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• pp.429-434
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• 2021

Amyloidosis is a multisystemic disease characterized by the accumulation of abnormal proteins in extracellular spaces in various organs, with frequent involvement of the myocardium. We report a case of a patient who had cardiac amyloidosis with a trend of reduction in native T1 and T2 values and extracellular volume fraction on serial cardiac magnetic resonance imaging after chemotherapy and stem cell transplantation. The native T1 value and the extracellular volume fraction are closely associated with tissue amyloid burden in amyloidosis patients. This case demonstrated that cardiac magnetic resonance imaging may be used as a non-invasive and quantitative biomarker in the treatment monitoring of amyloidosis.