• Proceedings of the KIEE Conference
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• 2003.10a
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• pp.195-197
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• 2003

In this paper, Neural Networks is studied for estimation of XLPE cable specimen according to degradation. And these data making use of a computer-aided discharge analyser, a combination of statistical and discharge parameter was calculated to discrimination processing stage of degradation. NN has not bad recognition rate result of discrimination for degradation stage because discharge characteristics are very similar to between degradation stage. So, there is some improvement for applied NN.

• Smart Structures and Systems
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• v.4 no.5
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• pp.517-530
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• 2008

This paper deals with civil infrastructures in general, sensor and smart structure technology, and smart steel structures in particular. Smart structures technology, an integrated engineering field comprising sensor technology, structural control, smart materials and structural health monitoring, could dramatically transform and revolutionize the design, construction and maintenance of civil engineering structures. The central core of this technology is sensor and sensor networks that provide the essential data input in real time for condition assessment and decision making. Sensors and robust monitoring algorithms that can reliably detect the occurrence, location, and severity of damages such as crack and corrosion in steel structures will lead to increased levels of safety for civil infrastructure, and may significantly cut maintenance or repair cost through early detection. The emphasis of this paper is on sensor technology with a potential use in steel structures.

• Journal of the Korea Institute of Building Construction
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• v.12 no.6
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• pp.664-673
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• 2012

Determining the layout of temporary facilities that support construction activities at a site is an important planning activity, as layout can significantly affect cost, quality of work, safety, and other aspects of the project. The construction site layout problem involves difficult combinatorial optimization. Recently, various artificial intelligence(AI)-based algorithms have been applied to solving many complex optimization problems, including neural networks(NN), genetic algorithms(GA), and swarm intelligence(SI) which relates to the collective behavior of social systems such as honey bees and birds. This study proposes a site facility layout optimization algorithm based on self-organizing maps(SOM). Computational experiments are carried out to justify the efficiency of the proposed method and compare it with particle swarm optimization(PSO). The results show that the proposed algorithm can be efficiently employed to solve the problem of site layout.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.178.2-178
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• 2001

Today, many electronic devices and ECUs (Electronic Control Units) are used in the automotive body control systems. It becomes more common that these devices exchange data with others through an in-vehicle network. Automobile manufacturers concentrate their efforts on development of body control systems based on networks in order to save cost and to increase flexibility and safety. OSEK/VDX has been founded as a joint project in German and French automotive industry aiming at an industry standard for an open-ended architecture for distributed control units in vehicles OSEK/VDX consists of Communication (specification of data exchange within and between control units), Network Management specification of Configuration determination and monitoring and Operating System (specification of realtime executive for ECU software ...

• Electronics and Telecommunications Trends
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• v.27 no.2
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• pp.149-157
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• 2012

최근까지 정체 국면에 있던 3D 산업이 2012년부터는 런던 올림픽과 여수 EXPO 등 글로벌 이벤트 발생으로 관련 산업이 활성화될 것으로 전망되고 있다. BBC 등 글로벌 미디어들도 3D 방송을 본격화할 예정이어서 3D 콘텐츠 시장이 국내외적으로 급성장할 것으로 기대된다. 우리나라는 아직까지 3D 산업이 초기 시장이기 때문에 향후 3D 산업을 육성 발전시키기 위해서는 정부의 역할이 중요하다고 할 수 있다. 본고의 목적은 정부 주도로 연구개발을 수행하면서 3D 연구개발 분야에서 세계를 선도하고 있는 일본의 3D 연구개발 정책동향을 살펴보고, 우리나라에 주는 시사점을 발굴하는 것이다. 이러한 목적을 달성하기 위하여 본고에서는 'UNS(Universal Communications, New Generation Networks, Security and Safety for the Ubiquitous Network Society) 전략 프로그램 II'를 중심으로 일본의 3D 기술개발 관련 주요 전략을 살펴 보았으며, 3D 기술개발을 위한 R&D 조직인 NICT(National Institute of Information and Communication Technology) 및 URCF(Ultra-Realistic Communications Forum)의 역할을 소개하는 한편, 일본의 3차원 영상기술에 의한 초현장감 커뮤니케이션 기술개발의 현황과 전망을 고찰하였다.

• Journal of computational fluids engineering
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• v.21 no.1
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• pp.1-9
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• 2016

Atmospheric icing may have significant effects not only on safety of aircraft in air, but also on performance of wind turbine and power networks on ground. Thus, ice protection measure should be developed to protect these systems from icing hazards. A very efficient method is the electro-thermal de-icing based on a process by which ice accretion is melted and blown away through aerodynamic forces. In this computational study, a state-of-the-art icing code, FENSAP-ICE, was used for the analysis of electro thermal de-icing system. Computational results including detailed conjugate heat transfer analysis were then validated with experimental data. Further, the computational model was applied to the DU21 airfoil section of NREL 5MW wind turbine with calculated heater parameters.

• Proceedings of the KSR Conference
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• 2007.11a
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• pp.1012-1017
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• 2007

To reduce the cost and the time of transport in Eurasian railroad networks such as TKR(Trans-Korea Railway), TCR(Trans-China Railway) and TSR(Trans-Siberia Railway) owing to the problem of different track gauges (narrow/standard/broad gauge), it is important to develop the gauge - adjustable wheelset system to adapt easily to these gauges. Moreover, this system accomplishes periodically a conversion operation from the gauge variable segment between different gauge. Gauge adjustable compression coil spring during conversion process accomplishes repetitively a central role for operation mechanism between flange and locking part. Therefore, to assure the safety of the gauge-adjustment wheelset system, it is necessary to stress analysis of the optimized spring in the system. In this study, it was performed to optimal design of the spring for stress analysis by using the genetic algorithm.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.05a
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• pp.1139-1142
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• 2005

자원의 제한을 가지는 센서로 구성된 무선 센서 네트워크에 적용하기 위하여 in-networking 프로세싱과 에너지 효율성을 제공하는 다양한 방식의 라우팅 프로토콜들이 제안되고 있다. 반면, 무선 센서 네트워크를 대상으로 하는 다양한 공격 형태들 또한 등장하고 있다. 무선 센서 네트워크상에서의 라우팅 프로토콜은 기존의 라우팅 방식과 달리 in-networking 프로세싱을 제공하기 때문에 라우팅 프로토콜에 대한 안전성 평가는 매우 중요하다. 본 논문에서는 현재 무선 센서 네트워크상에서 제안된 라우팅 프로토콜과 공격에 대하여 살펴보고 각각의 공격에 대한 각 라우팅 프로토콜의 안전성을 평가한다. 이는 무선 센서 네트워크를 위한 새로운 라우팅 프로토콜 제안 시 보안 취약점을 효과적으로 해결할 수 있는 방향을 제시 할 수 있다.

• Toxicological Research
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• v.32 no.1
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• pp.5-8
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• 2016

Risk assessment is the process of quantifying the probability of a harmful effect to individuals or populations from human activities. Mechanistic approaches to risk assessment have been generally referred to as systems toxicology. Systems toxicology makes use of advanced analytical and computational tools to integrate classical toxicology and quantitative analysis of large networks of molecular and functional changes occurring across multiple levels of biological organization. Three presentations including two case studies involving both in vitro and in vivo approaches described the current state of systems toxicology and the potential for its future application in chemical risk assessment.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2003.05b
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• pp.90-95
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• 2003

For the safety driving of an automobile which is become individual requisites, a new Neural Network algorithm which recognized the load vehicles in real time is proposed. The proposed neural network technique is the real time computation method through the inter-node diffusion. In the network, a node corresponds to a state in the quantized input space. Each node is composed of a processing unit and fixed weights from its neighbor nodes as well as its input terminal. The most reliable algorithm derived for real time recognition of vehicles, is a dynamic programming based algorithm based on sequence matching techniques that would process the data as it arrives and could therefore provide continuously updated neighbor information estimates. Through several simulation experiments, real time reconstruction of the nonlinear image information is processed. 1-D LIPN hardware has been composed and various experiments with static and dynamic signals have been implemented.