• 한국콘텐츠학회논문지
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• 제14권9호
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• pp.45-53
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• 2014

본 연구에서는 차세대 ITS로 주목받고 있는 국내외 C-ITS 기술 동향을 현재 국내에서 진행 중인 프로젝트를 중심으로 분석하였으며, 해외 선진국들의 추진 사례를 바탕으로 국내 C-ITS 정책이 기존의 ITS 인프라와의 연계 모색이 미흡함을 지적한다. 이를 극복하기 위한 방안으로, 기존 ITS 인프라가 C-ITS에 대응이 가능하도록 세 가지 방향성을 제시한다. 첫째, 기존 인프라 설비의 성능을 고도화하고 자동화하는 기술을 개발(Performance-enhanced ITS)하고, 둘째, 능동형 센서 및 융합 센서를 개발하여 V2X 통신 기술과 더불어 선제적 안전 운행 지원 기술을 개발(Safety-enhanced ITS)하며, 셋째 Nomadic Device의 보급으로 발생하는 비정형 교통 데이터를 기존 ITS 설비로 수집한 데이터와 융합하여 고급 교통정보를 생성하는 기술 개발(Cloud-ITS)이다. 이와 같이 기존 ITS 인프라에 V2X 통신 환경에 필요한 기능을 추가하고 효율적인 유지관리 기술을 개발한다면 C-ITS에서 추구하는 차량과 차량, 차량과 노변 장비와의 상호 협력적인 기술 기반이 조성되고, 예산의 중복 투자 방지가 가능해져 C-ITS 도입 효과를 극대화할 수 있을 것으로 기대한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권9호
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• pp.2546-2563
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• 2024

The Internet of Things (IoT) is facing growing security challenges due to its vulnerability. It is imperative to address the security issues using lightweight and efficient encryption schemes in resource-limited IoT. In this paper, we propose an enhanced message authentication encryption (MAE) scheme based on physical-layer key generation (PKG), which uses the random nature of wireless channels to generate and negotiate keys, and simultaneously encrypts the messages and authenticates the source. The proposed enhanced MAE scheme can greatly improve the security performance via dynamic keyed primitives construction while consuming very few resources. The enhanced MAE scheme is an efficient and lightweight secure communication solution, which is very suitable for resource-limited IoT. Theoretical analysis and simulations are carried out to confirm the security of the enhanced MAE scheme and evaluate its performance. A one-bit flipping in the session key or plain texts will result in a 50%-bit change in the ciphertext or message authentication code. The numerical results demonstrate the good performance of the proposed scheme in terms of diffusion and confusion. With respect to the typical advanced encryption standard (AES)-based scheme, the performance of the proposed scheme improves by 80.5% in terms of algorithm execution efficiency.

• Journal of information and communication convergence engineering
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• 제11권3호
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• pp.173-178
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• 2013

To discover objects of interest in unstructured peer-to-peer networks, the peers rely on flooding query messages which create incredible network traffic. This article evaluates the performance of an unstructured Gnutella-like protocol over mobile ad-hoc networks and proposes modifications to improve its performance. This paper offers an enhanced mechanism for an unstructured Gnutella-like network with improved peer features to better meet the mobility requirement of ad-hoc networks. The proposed system introduces a novel caching optimization technique and enhanced ultrapeer selection scheme to make communication more efficient between peers and ultrapeers. The paper also describes an enhanced query mechanism for efficient searching by applying multiple walker random walks with a jump and replication technique. According to the simulation results, the proposed system yields better performance than Gnutella, XL-Gnutella, and random walk in terms of the query success rate, query response time, network load, and overhead.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2006년도 춘계종합학술대회
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• pp.397-401
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• 2006

In this paper, we proposed a high precision location estimation algorithm using an enhanced decision scheme for RTLS and analyzed its performance in point of an average estimation error distance at 2D coordinates searching area, $300m\times300m$ and LOS propagation environments. Also the performance was compared with that of conventional TDOA algorithm according to the number of available reader and received sub-blink. From the results, we confirmed that the proposed location estimation algorithm using an enhanced decision scheme was able to improve an estimation accuracy even in boundary region of searching area. Moreover, effectively reduced an error distance in entire searching area so that increased the stability of location estimation in RTLS. Therefore, we verified that the proposed algorithm provided a more higher estimation accuracy and stability than conventional TDOA.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 1998년도 추계종합학술대회 논문집
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• pp.589-592
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• 1998

The performance of inductively coupled plasma (ICP) is enhanced by axial magnetic field driven by alternating current Helmholtz coils in this work. Langmuir pobe is used to characterize the plasma, and the etching performance is demonstrated with phororesist stripping process. It is shown that its density and uniformity depends on the frequency of driving current to the magnetic field.

• Journal of Communications and Networks
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• 제13권1호
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• pp.6-11
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• 2011

In this paper, an enhanced localization algorithm based on double thresholds (LAD) is proposed for localizing narrowband signals in the frequency domain. A simplified LAD method is first studied to reduce the computational complexity of the original LAD method without performance loss. The upper and lower thresholds of the simplified LAD method are directly calculated by running the forward consecutive mean excision algorithm only once. By combining the simplified LAD method and binary morphological operators, the enhanced LAD method is then proposed and its performance is simply discussed. The simulation results verify the correctness of discussion and show that the enhanced LAD method is superior to the LAD with adjacent cluster combining method, especially at low signal-to-noise ratio.

• 한국수소및신에너지학회논문집
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• 제32권5호
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• pp.340-346
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• 2021

The initial electrochemical performance of ceramic fuel cell with thin-film electrolyte fabricated by plasma-enhanced atomic layer deposition method was evaluated in terms of peak power density ratio, open circuit voltage ratio, and activation/ohmic resistance ratios at 500℃. Hydrogen and air were used as anode fuel and cathode fuel, respectively. The peak power density ratio reduced as ~52% for 30 min, which continually decreased as time increased but degradation rate gradually decreased. The open circuit voltage ratio decreased with respect time; however, its behavior was evidently different from the reduction behavior of the peak power density. The activation resistance ratio increased as ~127% for 30 min, which was almost similar with the reduction behavior of the peak power density ratio.

• 한국정밀공학회지
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• 제23권7호
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• pp.108-113
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• 2006

Recently, Automobile manufactures have developing automotive exhaust system under consideration for improvement in engine performance. It thus develop many exhaust components. For example active muffler, semi-active muffler, electronic muffler etc. In this components consider enhanced back pressure and reduction noise. Especially, In recent years it develop the study of semi-active muffler. Semi-active muffler is simple structure and excel performance. Recently many forms semi-active muffler was developed and adopted to the actual use in consideration of cost and technical side for noise and vibration. This study had main objects about the recently developed the semi-active muffler. It was to show its combustion performance as well as its enhanced back pressure characteristics in design. Therefore if the precise analysis of the combustion pressure according to the back pressure transmission was carried out, it was understood that this study would be utilized in the design of the exhaust system such as the semi-active muffler.

• 전기전자학회논문지
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• 제22권4호
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• pp.948-952
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• 2018

Haze removal is an object of scientific desire due to its various practical applications. Existing algorithms are founded upon histogram equalization, contrast maximization, or the growing trend of applying machine learning in image processing. Since machine learning-based algorithms solve problems based on the data, they usually perform better than those based on traditional image processing/computer vision techniques. However, to achieve such a high performance, one of the requisites is a large and reliable training database, which seems to be unattainable owing to the complexity of real hazy and haze-free images acquisition. As a result, researchers are currently using the synthetic database, obtained by introducing the synthetic haze drawn from the standard uniform distribution into the clear images. In this paper, we propose the enhanced equidistribution, improving upon our previous study on equidistribution, and use it to make a new database for training machine learning-based haze removal algorithms. A large number of experiments verify the effectiveness of our proposed methodology.

• 한국경영과학회지
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• 제33권1호
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• pp.149-168
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• 2008

Many organizations have introduced information technology (IT) as an innovation to gain competitive advantages as business environments have become increasingly complex and rapidly changing. Despite the large investment of IT, there have been mixed results about whether IT creates business values. Considering that IT assimilation may play an important role in explaining IT productivity paradox, this study examines the formation of IT assimilation and its effect on the organizational performance. To do so, this study suggests a research model based on Innovation Diffusion Theory by incorporating organization system, communication channel, change acceptability, and innovation factors, and then attempts to empirically explore the role of IT assimilation for enhanced organizational performance using data collected at the organizational level. Structural equation analysis using AMOS provides significant support for part of proposed relationships. Specifically, we have found encouraging results on the role of IT assimilation by identifying its mediating effect on the organizational performance. Theoretical and practical implications of the findings are discussed accordingly.