• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.110-110
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• 2011

최근 국제적으로 물관리의 차세대 개념으로서 지능형 물관리(Smart Water Grid)가 활발하게 논의되고 있다. 우리나라에서도 일부 학자들을 중심으로 이에 대한 개념이 도입되고 있다. 현재까지 정리된 지능형 물관리의 개념은 최근 급성장한 정보통신기술을 활용하여 기존에 비효율적으로 운영되는 물관리의 시스템을 획기적으로 개선하자는 것이다. 따라서 이론적으로는 물의 생산, 정수, 배송 그리고 이용과 처리에 이르는 전 과정을 실시간으로 통합하여 관리하는 것이 가능하다. 국제적으로는 IBM과 Siemens 등과 같이 정보통신과 물산업을 선도하는 기업 주도의 기술개발이 진행되는 단계이다. 2000년대 초반에는 용수수급의 효율화를 위한 장치개발에 주력하였으나, 현재에는 용수수급과 관련된 제반사항에 대한 기술적 통합시스템 구축으로 적용범위를 넓히고 있다. 우리나라에서도 도시인프라 자료의 통합관리와 수질 모니터링 시스템 구축이 추진되었으며, 2010년 12월 발표된 새만금종합개발계획에서는 본격적으로 활용을 검토하고 있다. 그러나 지능형 물관리의 기술적 통합시스템 전략은 곧 심각한 제도적 장벽에 직면할 것이다. 아무리 우수한 기술적 시스템이 개발된다고 하여도 제도적 기반의 구축이 없으면 국민경제에 도움이 되는 현실적용에는 한계가 있다. 기존에 확립된 물관리의 제도적 기반으로는 한정된 지역의 좁은 영역에서 활용될 수밖에 없다. 이것은 우리나라의 물관리가 기본적으로 법적, 제도적, 행정적 차원에서 분리되어 운영되고 있기 때문이다. 본 연구는 지능형 물관리가 지향하는 기술적인 통합시스템 구축이 당면할 제도적 한계를 도출하고 이를 극복하기 위한 정책적 방향을 제시하고자 한다. 또한 2009년 국회에 제출된 물관리기본법(안)에 지능형 물관리의 개념을 도입하는 방안을 모색하고자 한다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37 no.5B
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• pp.348-356
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• 2012

The application traffic analysis is getting more and more challenging due to the huge amount of traffic from high-speed network link and variety of applications running on wired and wireless Internet devices. Multi-level combination of various analysis methods is desired to achieve high completeness and accuracy of analysis results for a real-time analysis system, while requires much of processing burden on the contrary. This paper proposes a novel architecture for a real-time traffic analysis system which improves the processing performance on multi-core CPU environment. The main contribution of the proposed architecture is an efficient parallel processing mechanism with multiple threads of various analysis methods. The feasibility of the proposed architecture was proved by implementing and deploying it on our campus network.

• KIPS Transactions on Computer and Communication Systems
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• v.3 no.8
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• pp.245-250
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• 2014

In recent years, the developments of medical technology and emergency medical services have been changed to home from the hospital. In this regard, the researches for the prevention or early diagnosis have become actively. In particular, bio-signal monitoring is applied to a variety of u-healthcare application services. The proposed system in this paper is to provide a security technology to protect the medical information measured from the various sensors. Especially, bio-signal information is privacy-sensitive personal information that must be protected. We applied a two-dimensional code technology, QR code, for the protection and management. In the client side, it can analyze the QR code and confirm the results on devices. Finally, with this proposed platform, we show the results of application service to verify the creation and distribution of integrated image file between the bio-signal and medical image information.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.5
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• pp.311-318
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• 2013

Recently, there have been many studies on RFID-based SCM. Yet, studies of synchronizing errors caused by tracking logistics information in supply chain, and activating & monitoring RFID infra is still insufficient. Also, there is no case of developing the intelligent SCM system enabling total monitoring and controlling RFID Infra by applying these technologies. Logistics information synchronization based Smart SCM model is intelligent supply chain service model to monitor the status of the RFID equipments in supply chain and the synchronization of the logistics process in each logistics point through one integrated view, as well as to react instantly by providing the information to help the various decision makings, when the emergency occurs. By adopting global logistics standard, RFID related standard specification, EPCIS standard, and SSI middleware platform, this model provides the domestic standard specification.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.10
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• pp.8-15
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• 2018

This article investigates intelligent security integrated platform for real-time crime response and preventive crime prevention. This study analyzed intelligent crime prevention platform elements by analyzing crime prevention system/platform research, intelligent crime prevention research, and case study of municipality integrated operation center crime prevention system. Through this, we developed a practical intelligent security platform, and suggested a linkage with existing municipalities and smart city integrated platform system considering scalability. This enables CCTV monitoring, which is used only for existing post processing, to cope with real-time crime. It is expected that it will be able to solve the incidents in golden-time by grasping the precise position of the complainant not only in the outdoor but also indoors. It is also possible to provide citizen-centered crime-prevention social safety net information sharing service by enhancing citizen participation as well as improving control efficiency. The intelligent security platform has advantages that it is easy to spread the municipality because it is developed considering existing municipal system, smart city integration platform, and linkage and expansion with other security services.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.5
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• pp.89-94
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• 2021

Recently, manufacturing companies are introducing many intelligent production processes that apply IIoT/ICT to improve competitiveness, and a system that maintains availability, improves productivity, and optimizes management costs is needed as a preventive measure using environmental data generated from air ejectors. Therefore, in this study, a dedicated control board was developed and LoRa communication module was applied to remotely control it to collect and manage information about compressors from cloud servers and to ensure that all operators and administrators utilize common data in real time. This dramatically reduced M/S steps, increased system operational availability, and reduced local server operational burden. It dramatically reduced maintenance latency by sharing system failure conditions and dramatically improved cost and space problems by providing real-time status detection through wired and mobile utilization by maintenance personnel.

• The KIPS Transactions:PartD
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• v.12D no.6 s.102
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• pp.905-914
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• 2005

This paper suggests a healthcare home service system based on the distributed object group framework that can not only provide healthcare application services using the information obtained from the physical healthcare sensors and devices, and but also monitor and control these services remotely. The distributed object group framework supports the object group service, the interaction service between object groups and the real-time service in order to execute the healthcare application. Here object group means the unit of logical grouped objects or healthcare sensors and devices for a service. Our suggested system consists of 3 layers. The first layer presents the physical sensors and devices for healthcare, as a physical layer. The second layer lays the distributed object group framework, and the third layer, the upper's one, implements healthcare applications based on lower layers. With healthcare applications providing for this system, we implemented the location tracking service, the health information service and the titrating environment service. Also the integrated executing results of these services can be monitored and controlled via remote desktop systems or PDAs.

• Journal of the Korean GEO-environmental Society
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• v.21 no.5
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• pp.5-11
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• 2020

Outliers detection and elimination included in field monitoring datum are essential for effective foundation of unusual movement, long and short range forecast of stability and future behavior to various structures. Integrated outlier analysis system for assessing long term time series data was developed in this study. Outlier analysis could be conducted in two step of primary analysis targeted at single dataset and second multi datasets analysis using synthesis value. Integrated outlier analysis system presents basic information for evaluating stability and predicting movement of structure combined with real-time safety management platform. Field application results showed increased correlation between synthesis value including similar sort of sensor showing constant trend and each single dataset. Various monitoring data in case of showing different trend can be used to analyse outlier through correlation-weighted value.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.05a
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• pp.378-379
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• 2012

Nowadays, great energy consumption in advanced electrical industry has called up the great y efficiency. Electric power IT industry such as intelligent electric power system is receiving great attention and being marked up as a new growth engine. Through Intelligent electric power system, the electric power supply can be balance optimized according to demand, giving huge cost savings advantage for energy imports, infrastructure construction and operation. Nevertheless, the intelligent system promotes better reliability in power supply. Manual electric power management using man power appears to be non-practical. Real time electric power management on all facilities and equipment can be done through an intelligent electric power system, any accident break out issue can be easily recorded and recognized. In this paper, a fully integrated intelligent switchgear electric management system is developed to monitor and remote control the electrical switch based on smart phone. The proposed system is superior than the existing switchgear management system's weakness and can sharply improve effectiveness and stability with low cost. In future, the proposed system is expected to be greatly contributed to the advancement of the IT industry in electric power management.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.5
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• pp.1-7
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• 2024

This paper presents the design and implementation of a VPN (Virtual Private Network) module to address the need for external access and functional expansion of NVR (Network Video Recorder) systems. NVR systems play a critical role in enhancing security across various industries through real-time monitoring and recording. However, they are vulnerable to security threats, particularly when a secure connection to external networks is required. To resolve this issue, this study applied a VPN module to ensure that NVR systems can communicate securely with external networks. This approach enabled remote access and real-time event notifications. Performance tests confirmed 100% accuracy in event notifications. This research contributes to improving the security and operational efficiency of NVR systems, highlighting the necessity and utility of VPN modules for secure communication with external networks.