• 한국컴퓨터정보학회논문지
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• 제21권6호
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• pp.89-96
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• 2016

Damage and attack size of cyber terror is growing to the national size. Not only targeting at a certain companies or individuals but number of cyber terror targeting government bodies or unspecific people is increasing. This is because compared to traditional weapon, input cost is very cheap but ripple effect and shock are much stronger, affecting not only certain groups but also each individuals. 'Anti-terror measurement for protection of nation and public safety' passed last month is one of the renowned measurement passed regardless of objection from opposition party. The opposition party went against this through filibuster for 192 hours but this finally passed National Congress due to lack of oppositions. Korean government is taking post actions after passage of anti-terror measurement. Legislation of enforcement ordinance and regulations is due by 6th of next month. This regulation will be executed from June 4th after legislation. Whenever there is any security issues such as hacking of Korea Hydro and Nuclear Power and National Intelligence Service happens, lot of attention is made to those hackers. However, social recognition or management of those hackers need lot more improvement. Especially, as market of internet of things is increasing, there is an increased anxiety on information security. But as we only rely on security solutions, this problems are keep happening. Therefore, active investment on nurturing hackers who play the role of 'spear and shield' shall be made. Government should put more efforts to allow white hackers to show their abilities. We should have a policy for supporting high-quality programs such as BoB. To make information protection industry into future growth engine, it is necessary to nurture professionals for information protection and white hackers through special programs. Politicians should make related regulations as soon as possible to remove factors that prevent swift management of cyber attack due to lack of legislation. Government should pay lot more financial investment to nurturing professional manpower than now. Protecting life and asset of nation is responsibility and duty of our government. We all should recognize that controlling cyber attack is a part of national defense.

• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제8권1호
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• pp.46-61
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• 2002

소프트웨어의 개발 단계 중 품질을 결정하는 주요 단계는 요구 명세 단계로 알려져 있다. 따라서, 소프트웨어 개발 업체는 소프트웨어 요구명세서의 분석을 가장 중요한 단계 중 하나로 취급하고 있고, 특히 안전성이 중요한 시스템의 경우에는 시스템을 운영하기 위하여 국내와 국제적인 규제 기관에서는 요구 명세의 분석을 통한 안전성의 입증을 요구한다. 소프트웨어의 요구 명세 분석을 위한 방법 중 인스펙션과 정형 검증이 가장 효과적인 방법으로 알려져 있다. 본 논문에서는 SCR-style의 요구 명세를 정리 증명기인 PVS를 이용하여 정형 검증을 수행하는 방법을 제안하였다. 그리고, 논문에서 제안된 방법으로 실제 월성 원자력 발전소의 정지 시스템의 검증을 수행하였다. 이 시스템은 인스펙션으로 검증된 적은 있으나 정형 검증 방법으로는 증명된 적이 없고, 국내에서 실제 운영되는 산업계시스템에 정형 검증 방법이 적용된 사례는 매우 드물기 때문에 차후 정형 검증 방법을 적용하기 위한 평가로서도 이와 같은 실험적인 적용이 매우 중요하다.

• 한국항행학회논문지
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• 제14권6호
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• pp.996-1001
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• 2010

본 논문에서는 Mobile IPTV의 서비스를 위한 네트워크 선택 알고리즘을 제안하고 처리속도가 낮은 단말기의 부하를 줄이기 위한 계층별 처리 시스템을 구현하였다. 제안한 알고리즘은 새로운 사용자가 네트워크에 접속할 때 잔여 대역폭, 네트워크 비용, 신호세기를 이용하는 계산식에서 나온 우선순위 값으로 네트워크를 선택한다. 처리속도가 낮은 단말기의 응용계층에서 네트워크 선택과 TV서비스 제공을 모두하면 시스템 부하로 서비스의 품질이 낮아지게 되므로 네트워크 선택과 TV 서비스기능을 계층별로 나누어 처리하는 시스템을 구현하였다. 실험결과 사용자가 직접 네트워크를 선택하는 방법에서는 대역폭 할당을 위한 대기시간이 존재하고, 대역폭을 모두 소진한 경우 대역폭 할당을 위한 대기 시간이 길어지는 반면 본 논문에서 제안한 우선순위를 이용한 네트워크 선택 알고리즘을 이용할 경우 여러 네트워크 중 상태가 좋은 네트워크를 선택하기 때문에 데이터 전송속도가 평균적으로 유지가 되고 대역폭 할당 대기시간이 낮아지는 것을 확인하였다.

• 한국유통학회지:유통연구
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• 제1권1호
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• pp.41-63
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• 1996

In spite of economy has a critical cycle such as, production, distribution and consumption, we hardly concentrated our study to distributional system and behavior. Especially in Korea, Traditional idea had tried to ignore the people who work in this economic value at all. Manufacturers, other than retailers and wholesalers, had a belief that the manufacturing can control distributional channels forever. Unfortunately, technological and educational advances caused the quality equalization among developing and developed countries as well as among big and small manufacturers in their products. By this reason, economists are searching the economists dark continet' mentioned by Peter Drucker as a new source of wealth. According to a report by well-known economic research institute in Switzerland, Korea has classified in the lower level group in terms of international compatitive power. At the same time, business firms complain that they are suffering from lack of SOC and infrastructures. As an important mean to overcome the economic bottleneck, economists suggest in improve our distributional atmosphere. Basically, distributional study has two sub-fields as: commercial and physical distributions, Distributional system mainly concerns about to shorten the distances of time and space between production and consumption. The closer the distances, the higher efficiency can be achieved. Building distributional system will cost, but tile results will save social costs. Based on this idea, economists proposed several ways to cut the distances and to save costs, Naturally, they hope their beliefs can be adapted by business firms and governments. But frequently, their theories doesn't make any fruit. This paper has studied about the composition of joint transportational and distributional systems. And, even though there's no Marshall in tile real world at this point authors are trying to define the transportational and physical distributional costs, the most powerful factor that can impact to economic decision making.

• 한국인터넷방송통신학회논문지
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• 제19권5호
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• pp.143-150
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• 2019

클라우드 컴퓨팅은 운영자들로 하여금 하드웨어 구매와 유지 부담을 경감시키므로 대규모 멀티플레이어 온라인 게임(MMOG)을 위한 적절한 해결책이 되었다. P2P 기반 해결책은 고유의 규모조정성, 자체 복구기능, 자연적인 부하 분산 능력 등 여러 장점을 가지고 있다. 상이한 두 패러다임 P2P와 클라우드 컴퓨팅의 기술적 장점들을 병합하며 MMOG를 위한 하이브리드 구조가 이 논문에서 제시된다. 효율적이고 효과적인 자원의 공급과 부하의 조절은 대규모 사용자 집단에 대한 경제적 비용과 서비스 품질의 규모를 고려하는 구조 실현에 필수적이다. 동시에 실행되는 사용자 수가 증가할 때 하이브리드 구조는 사용자의 처리 능력을 활용함으로써 클라우드에 있는 서버의 부하 즉 상당한 규모의 컴퓨팅 능력과 통신량을 절감할 수 있다. MMOG에서는 서버의 시간 외에도 대역폭 비용이 요구형 자원의 임차시 주요 지출 요인이 된다. 시뮬레이션 결과 제시된 하이브리드 구조는 클라우드와 사용자 제공 자원의 양을 제어함으로써 플레이어들의 충분한 대역폭을 활용하는 반면 서버의 대역폭을 감소시킬 수 있는 것으로 나타났다.

• 한국물환경학회지
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• 제37권1호
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• pp.47-54
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• 2021

Aerobic granular sludge (AGS) can be classified as a type of self-immobilized microbial aggregates measuring more than 0.2 mm. It offers the option to simultaneously remove COD, N, and P that occur in different zones inside a granule. Also, AGS is characterized by high precipitability, treatability with high organic loading, and high tolerance to low temperature. In this study, a sequencing batch reactor inoculated with AGS (AGS-SBR) is a new advanced wastewater treatment process that was proven to grow AGS with integrated nutrient removal and low C/N ratio. A pilot plant, AGS-SBR with a capacity of 225 ㎥/d was installed at an S sewage treatment plant in Gyeonggi-do. The results of the operation showed that the water quality of the effluent indicated that the value of BOD5 was 1.5 mg/L, CODMn was 11.4 mg/L, SS was 6.2 mg/L, T-N was 13.2 mg/L, and T-P was 0.197 mg/L, and all of these values reliably satisfied an effluent standard (I Area). In winter, the T-N treatment efficiency at a lower temperature of less than 11℃ also showed reliability to meet the effluent standard of the I Area (20 mg/L or less). Analysis of microbial community in AGS showed a higher preponderance of beneficial microorganisms involved in denitrification and phosphorus accumulation compared with activated sludge. The power consumption and sludge disposal cost were reduced by 34.7% and 54.9%, respectively, compared to the domestic SBR type sewage treatment plant with a processing capacity of 1,000 ㎥/d or less.

• 전자통신동향분석
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• 제34권4호
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• pp.15-22
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• 2019

Recent technological advances in three-dimensional (3D) sensing devices and machine learning such as deep leaning has enabled data-driven 3D applications. Research on artificial intelligence has developed for the past few years and 3D deep learning has been introduced. This is the result of the availability of high-quality big data, increases in computing power, and development of new algorithms; before the introduction of 3D deep leaning, the main targets for deep learning were one-dimensional (1D) audio files and two-dimensional (2D) images. The research field of deep leaning has extended from discriminative models such as classification/segmentation/reconstruction models to generative models such as those including style transfer and generation of non-existing data. Unlike 2D learning, it is not easy to acquire 3D learning data. Although low-cost 3D data acquisition sensors have become increasingly popular owing to advances in 3D vision technology, the generation/acquisition of 3D data is still very difficult. Even if 3D data can be acquired, post-processing remains a significant problem. Moreover, it is not easy to directly apply existing network models such as convolution networks owing to the various ways in which 3D data is represented. In this paper, we summarize technological trends in AI-based 3D content generation.

• Design & Manufacturing
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• 제16권4호
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• pp.52-59
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• 2022

Currently, Korea is an aging society and is expected to become a super-aged society in about four years. X-ray devices are widely used for early diagnosis in hospitals, and many X-ray technologies are being developed. The development of X-ray device technology is important, but it is also important to increase the reliability of the device through accurate data management. Sensor nodes such as temperature, voltage, and current of the diagnosis device may malfunction or transmit inaccurate data due to various causes such as failure or power outage. Therefore, in this study, the temperature, tube voltage, and tube current data related to each sensor and detection circuit of the diagnostic X-ray imaging device were measured and analyzed. Based on QC data, device failure prediction and diagnosis algorithms were designed and performed. The fault diagnosis algorithm can configure a simulator capable of setting user parameter values, displaying sensor output graphs, and displaying signs of sensor abnormalities, and can check the detection results when each sensor is operating normally and when the sensor is abnormal. It is judged that efficient device management and diagnosis is possible because it monitors abnormal data values (temperature, voltage, current) in real time and automatically diagnoses failures by feeding back the abnormal values detected at each stage. Although this algorithm cannot predict all failures related to temperature, voltage, and current of diagnostic X-ray imaging devices, it can detect temperature rise, bouncing values, device physical limits, input/output values, and radiation-related anomalies. exposure. If a value exceeding the maximum variation value of each data occurs, it is judged that it will be possible to check and respond in preparation for device failure. If a device's sensor fails, unexpected accidents may occur, increasing costs and risks, and regular maintenance cannot cope with all errors or failures. Therefore, since real-time maintenance through continuous data monitoring is possible, reliability improvement, maintenance cost reduction, and efficient management of equipment are expected to be possible.

• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.345-353
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• 2009

The success and failure of any project depends upon many factors, the Project Manager is considered to be the key contributor to the success of any project, as well as a guide to the team members to achieve the client satisfaction (Cost, Time and Quality). Therefore the main aim of this paper is to provide a practical approach for understanding the importance of the Project Manager and his effectiveness to the success of the construction projects. In addition, the Project Manager's roles, responsibilities and duties have direct impact to the success of the construction projects. In order to identify the thoughts and opinion of the construction industry on this particular assertion, a quantitative study was carried out within the UK construction industry. The result of the study shows that there is an extremely strong correlation between the Project Manager and the success of the construction projects. In construction projects the Project Manager is considered to be one of the most important people who can lead and drive the projects in the right direction and conclude construction projects successfully. Moreover, these can play the most important role regarding the improvement of the organization's performance, the organization's profitability and the client's satisfaction. The research confirmed that the Project Manager is a very essential element to the success of the construction project and have an impact at every stage of the construction project. So it concluded that selection of a Project Manager should be carefully done with regard to experience, knowledge, power/authority and good understanding to the kind of the project.

• 한국재난정보학회 논문집
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• 제20권1호
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• pp.117-127
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• 2024

연구목적: 중소기업 제조공장에서 에너지 관리, 온도, 습도, 분진 및 가스, 공기 질, 기계작동 상태 등을 통합적으로 모니터링하여 에너지 절감 및 제조 공장 인프라의 안전성 향상을 위한 기반 연구를 수행하는 것이 목적이다. 연구방법: 이를 위해 디지털 전력량계 및 IoT 센서를 통해 에너지 관련 데이터 및 환경적인 정보들을 실시간으로 수집하였으며, 수집된 정보를 기반으로 모니터링 및 분석을 통해 에너지 절감을 위한 상황 전파 및 대응을 위한 연구를 진행하였다. 연구결과: ESG 경영 활동의 핵심 지표에 속하는 에너지관리, 비용 절감과 안전성 향상을 고려한 적용 방안을 제시하였다. 결론: 본 연구는 기업에서 실제적인 사례 연구로 스마트공장에서 다양한 센서 장치와 관련된 장치들을 활용하였으며, 이를 통해 수집된 정보를 기반으로 에너지 절감 및 안전성 향상에 대한 기반의 체계를 제시하였다.