• 한국융합학회논문지
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• 제4권3호
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• pp.15-20
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• 2013

현재 IT기술과 자동차기술을 융합한 지능형 자동차에 대한 연구가 활발히 진행중에 있으며 많은 새로운 서비스 모델들이 개발중에 있다. 지능형자동차에 대한 개발이 활발하게 이루어지면서 무선 네트워크를 이용한 다양한 서비스가 제공이 되고 있다. 이러한 지능형 자동차가 무선 네트워크를 이용한 서비스가 제동되면서 다양한 보안위협 요소가 도출되고 있다. 본 논문에서는 지능형 자동차의 외부에서 네트워크에 침입하여 지능형자동차의 보안위협 요소를 분석하고 지능형 자동차의 보안 솔루션의 인증 모델에 대한 기법을 제공하고자 한다. 인증 모델의 경우 신체의 고유성을 식별할 수 있는 생체인식을 이용한 인증기법을 제안한다.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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• pp.620-623
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• 2003

The TAM (Topographic Attentive Mapping) network is a biologically-motivated neural network. Fuzzy rules are acquired from the TAM network by the pruning algorithm. In this paper we formulate a new input layer using Gabor function for TAU network to realize receptive field of human visual cortex.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2001년도 춘계학술대회 학술발표 논문집
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• pp.57-60
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• 2001

In this paper, we propose growing algorithm of wavelet neural network. It is growing algorithm that adds hidden nodes using wavelet frame which approximately supports orthogonality in wavelet neural network based on wavelet theory. The result of this processing can be reduced global error and progresses performance efficiency of wavelet neural network. We apply the proposed algorithm to approximation problem and evaluate effectiveness of proposed algorithm.

• 한국지능시스템학회논문지
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• 제7권5호
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• pp.21-27
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• 1997

Neuro-fuzzy network that combined advantages of the neural network in learning and fuzzy system in inferencing can be used to establish a system model in the design of a controller. In this paper, we presented the neuro-fuzzy system that can be able to generated a linguistic fuzzy model which results in a similar input/output response to the original system. The network was used to model a system. We tested the performance ot the neuro-fuzzy network through computer simulations.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2000년도 춘계종합학술대회
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• pp.43-49
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• 2000

미래 정보사회에는 이용자들의 다양한 서비스가 요구되며, 이용자들의 요구를 충족시키기 위해서는 기존의 공중통신망으로는 어렵다는 것이다. 따라서 통신사업자는 소비자의 다양한 서비스에 부흥하기 위해 지능망서비스의 수준을 향상시켜야 할 것이다. 본 연구는 지능망서비스의 향상을 위해 현행 문제점을 두 가지 측면에서 분석하였다. 첫째, 기술적 측면의 문제점은 새로운 기능이나 신규서비스의 추가 및 서비스 제어기능 모두의 해당 소프트웨어를 변경해야 하는 문제점, 각 서비스 별로 다른 서비스 제어기능을 사용하거나 동일 서비스 제어기능을 사용하더라도 데이터베이스 구조를 각각 달리하고 있어 서비스의 운용 및 관리의 복잡성 문제, 두 가지 이상의 서비스를 조합해서 제공하는 복합 서비스의 경우 호 접속 지연의 문제점, 대규모의 데이터베이스 및 신속한 호처리를 필요로 하는 서비스에 대한 효과성의 문제, 둘째, 서비스 측면의 문제점은 지능망서비스의 시장지향적 서비스 개발 및 고객욕구 서비스 개발의 미비한 점, 지능망서비스의 통신요금은 통신시설의 확장을 위한 투자 재원 마련과 정부의 공공요금 인상 억제정책 및 독점적 경향에 의해 결정되는 문제점, 지능망서비스의 번호체계를 보면 너무 복잡성 문제점이 나타났다. 이러한 문제점을 해결하기 위해서는 첫째, 지능망서비스의 체계적인 개발 둘째, 지능망서비스에 적합한 시설 확충 셋째, 유선망 무선망·인터넷망을 통합 및 멀티미디어 시대의 서비스 지원 넷째, 고객중심의 서비스 제공 다섯째, 원가개념 도입에 따른 요금 결정 여섯째, 지능망서비스 번호체계의 합리화를 추구해야 지능망서비스의 미래 정보사회에 맞게 발전시킬 수 있을 것이다.ure scheme based on KCDSA which is a domestic digital signature scheme and it apply a electronic cash system. In particularly a proposed electronic cash system have an anonymity control ability which trace a user who make use a electronic cash illegally in association with a trusted center.estigation and explain how our tool can be further enhanced.door playground facilities. On the basis of the site investigation the interview and the indoor education program for physically challenged children the author completed an outside play program. Each item in this program was classified as belonging to either a "sense play" program or and "exercise play" program. Finally, the author designed suitable play equipment for physically challenged children corresponding to each item in the exercise progr

• International Journal of Computer Science & Network Security
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• 제23권4호
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• pp.103-110
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• 2023

Financial inclusion is the safe and timely access of formal financial services to people at affordable costs. Various barriers of legacy financial system hinder the involvement of all segments of populations in the financial sector. The journey from financial exclusion to financial inclusion has to be achieved with the implementation of technological breakthroughs. Covid-19 has also raised the need for technology in all sectors of the economy. This research paper introduces the concept of intelligent financial inclusion which is the provision of financial services to people with the help of intelligent systems. This intelligent system will take the concepts from the human mind, cognitive sciences, and artificial intelligence tools and techniques. For achieving the optimal level of financial inclusion, economies must shift their financial sector from traditional means to intelligent financial systems. In this way, intelligent financial inclusion will achieve the target of involving all people in the financial sector.

• 한국정보기술응용학회:학술대회논문집
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• 한국정보기술응용학회 2005년도 6th 2005 International Conference on Computers, Communications and System
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• pp.73-76
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• 2005

The advanced information and communication technology gives vehicles another role of the third digital space, merging a physical space with a virtual space in a ubiquitous society. In the ubiquitous environment, the vehicle becomes a sensor node, which has a computing and communication capability in the digital space of wired and wireless network. An intelligent vehicle information system with a remote control and diagnosis is one of the future vehicle systems that we can expect in the ubiquitous environment. However, for the intelligent vehicle system, many issues such as vehicle mobility, in-vehicle communication, service platform and network convergence should be resolved. In this paper, an in-vehicle gateway is presented for an intelligent vehicle information system to make an access to heterogeneous networks. It gives an access to the server systems on the internet via CDMA-based hierarchical module architecture. Some experiments was made to find out how long it takes to communicate between a vehicle's intelligent information system and an external server in the various environment. The results show that the average response time amounts to 776ms at fixec place, 707ms at rural area and 910ms at urban area.

• 한국윤활학회:학술대회논문집
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• 한국윤활학회 2002년도 proceedings of the second asia international conference on tribology
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• pp.455-456
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• 2002

Wear is one of the main factors causing breakdown and fault of machine, so ferrography technique analyzing wear particles can be an effective way for condition monitoring and fault diagnosis. On the base of the forward multilayer neural network, a nodes self-deleting neural network model is provided in this paper. This network can itself deletes the nodes to optimize its construction. On the basis of the nodes self-deleting neural network, an intelligent ferrography diagnosis expert system (IFDES) for wear particles recognition and wear diagnosis is described. This intelligent expert system can automatically slim lip knowledge by learning from samples and realize basically the entirely automatic processing from wear particles recognition to wear diagnosis.

• ETRI Journal
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• 제14권4호
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• pp.10-18
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• 1992

Intelligent Network offers network operators significant opportunities to provide new services such as Freephone service and Credit Calling service. To realize the IN capabilities it is required to introduce several new components into the existing telecommunication network. Among them Service Control Point is regarded as a keystone node of Intelligent Network. This paper discusses the architecture design and implementation of NICS(Network Information Control System), which is a combined system of SCP and SMS. Service processing aspects are discussed in detail among the functions of NICS, and service management and test environment of service logic are presented also. The field trial of NICS which has been developed to provide Freephone Service and Credit Calling Service is scheduled at the end of 1993.

• ETRI Journal
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• 제42권3호
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• pp.411-419
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• 2020

In real-world intelligent transportation systems, accuracy in vehicle license plate detection and recognition is considered quite critical. Many algorithms have been proposed for still images, but their accuracy on actual videos is not satisfactory. This stems from several problematic conditions in videos, such as vehicle motion blur, variety in viewpoints, outliers, and the lack of publicly available video datasets. In this study, we focus on these challenges and propose a license plate detection and recognition scheme for videos based on a temporal matching prior network. Specifically, to improve the robustness of detection and recognition accuracy in the presence of motion blur and outliers, forward and bidirectional matching priors between consecutive frames are properly combined with layer structures specifically designed for plate detection. We also built our own video dataset for the deep training of the proposed network. During network training, we perform data augmentation based on image rotation to increase robustness regarding the various viewpoints in videos.