• 대한전자공학회:학술대회논문집
• /
• 대한전자공학회 2002년도 ITC-CSCC -2
• /
• pp.951-954
• /
• 2002

This paper presents the implementation of hash functions for IPSEC chip. There is an increasing interest in high-speed cryptographic accelerators for IPSec applications such as VPNs (virtual private networks). Because diverse algorithms are used in Internet, various hash algorithms are required for IPSec chip. Therefore, we implemented SHA-1, HAS-160 and MD5 in one chip. These hash algorithms are designed to reduce the number of gates. SHA-1 module is combined with HAS-160 module. As the result, the required logic elements are reduced by 27%. These hash algorithms have been implemented using Altera's EP20K1000EBC652-3 with PCI bus interface.

• Transactions on Electrical and Electronic Materials
• /
• 제18권6호
• /
• pp.320-322
• /
• 2017

In this paper, a high-performance, low-area gradient-magnitude calculator architecture is proposed, based on approximate image processing. To reduce the computational complexity of the gradient-magnitude calculation, vector properties, the symmetry axis, and common terms were applied in a hardware-resource-shared architec-ture. The proposed gradient-magnitude calculator was implemented using an Altera Cyclone IV FPGA (EP4CE115F29) and the Quartus II v.16 device software. It satisfied the output-data quality while reducing the logic elements by 23% and the embedded multipliers by 76%, compared with previous work.

• International Journal of Fuzzy Logic and Intelligent Systems
• /
• 제3권2호
• /
• pp.227-232
• /
• 2003

Recently, support vector learning attracts an enormous amount of interest in the areas of function approximation, pattern classification, and novelty detection. One of the main reasons for the success of the support vector machines(SVMs) seems to be the availability of global and sparse solutions. Among the approaches sharing the same reasons for success and exhibiting a similarly good performance, we have KFD(kernel Fisher discriminant) approach. In this paper, we consider the problem of function approximation utilizing both predetermined basis functions and the KFD approach for regression. After reviewing support vector regression, semi-parametric approach for including predetermined basis functions, and the KFD regression, this paper presents an extension of the conventional KFD approach for regression toward the direction that can utilize predetermined basis functions. The applicability of the presented method is illustrated via a regression example.

• 디지털산업정보학회논문지
• /
• 제7권3호
• /
• pp.75-83
• /
• 2011

Cognitive radio (CR) technology is to maximize the spectrum utilization by allocating the unused spectrums to the unlicensed users. This technology enables the sharing of channels among secondary (unlicensed) and primary (licensed) users on a non-interference basis after sensing the vacant channel and as a result, it is possible to harness wireless frequency more efficiently. To enhance the accuracy of sensing, RDSS was suggested. It is a fusion mechanism based on the reputation of sensing nodes and WSPRT (weighted sequential probability ratio test). However, in RDSS, the execution number of WSPRT could increase according to the order of inputted sensing values, and the fast defense against the forged values is difficult. In this paper, we propose a transaction signing-based authentication scheme for secure distributed spectrum sensing to response the forged values. The validity of proposed scheme is provided by BAN logic.

• International Journal of Fuzzy Logic and Intelligent Systems
• /
• 제8권4호
• /
• pp.254-259
• /
• 2008

Uncertainty of result of context awareness always exists in any context-awareness computing. This falling-off in accuracy of context awareness result is mostly caused by the imperfectness and incompleteness of sensed data, because of this reasons, we must improve the accuracy of context awareness. In this article, we propose a novel approach to model the uncertain context by using ontology and context reasoning method based on Bayesian Network. Our context aware processing is divided into two parts; context modeling and context reasoning. The context modeling is based on ontology for facilitating knowledge reuse and sharing. The ontology facilitates the share and reuse of information over similar domains of not only the logical knowledge but also the uncertain knowledge. Also the ontology can be used to structure learning for Bayesian network. The context reasoning is based on Bayesian Networks for probabilistic inference to solve the uncertain reasoning in context-aware processing problem in a flexible and adaptive situation.

• 대한전자공학회:학술대회논문집
• /
• 대한전자공학회 2007년도 하계종합학술대회 논문집
• /
• pp.433-434
• /
• 2007

This paper describes a low-voltage dynamic random-access memory (DRAM) focusing on subthreshold leakage reduction during self-refresh (sleep) mode. By sharing a power switch, multiple iterative circuits such as row and column decoders have a significantly reduced subthreshold leakage current. To reduce the leakage current of complex logic gates, dual channel length scheme and input vector control method are used. Because all node voltages during the standby mode are deterministic, zigzag super-cutoff CMOS is used, allowing to Preserve internal data. MTCMOS technique Is also used in the circuits having no need to preserve internal data. Sub-1.2-V 1-Gb mobile DDR DRAM employing all these low-power techniques was designed in a 60 nm CMOS technology and achieved over 77% reduction of overall leakage current during the self-refresh mode.

• 센서학회지
• /
• 제24권2호
• /
• pp.107-112
• /
• 2015

HIGHT is an 64-bit block cipher, which is suitable for low power and ultra-light implementation that are used in the network that needs the consideration of security aspects. This paper presents a parallel key scheduler that generates the whitening keys and subkeys simultaneously for both encryption and decryption processes. We construct the reverse LFSR and key generation blocks to generate the keys for decryption process. Then, the new key scheduler is made by sharing the common logics for encryption and decryption processes to minimize the increase in hardware complexity. From the simulation results, the logic size is increased 1.31 times compared to the conventional HIGHT. However, the performance of HIGHT including the proposed key scheduler can be increased by two times compared to the conventional counterpart.

• 한국정보처리학회:학술대회논문집
• /
• 한국정보처리학회 2014년도 추계학술발표대회
• /
• pp.1177-1180
• /
• 2014

본 논문은 생산설비 PLC(Programmable logic Controller) 데이터의 실시간 공유 플랫폼을 설계한다. 이 플랫폼은 자동화 설비를 보유하고 운영 중인 수출집약 중소기업에서 FTA(Free Trade Agreement) 체결 수입 상대국의 원산지 증명을 위한 생산 시험성적서 제출에 활용할 수 있고, 생산설비의 OPC 서버가 갖는 실시간 데이터를 수집하는 라이브러리를 활용하여 MES(Manufacturing Execution System)에서 생성되는 다양한 실시간 데이터를 활용하여 그래프, 생산관리 모니터링 및 설비 관리를 가능케한다. 따라서 중소기업이 생산관리, 공정관리, PLC 데이터공유 등에 필요한 수준별 분야별로 실시간 제조운영관리 시스템의 확대 보급이 가능하고, 생산설비의 실시간 제어가 가능하도록 설계한다.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 2007년도 제38회 하계학술대회
• /
• pp.1668-1669
• /
• 2007

In this paper, we propose nonlinear congestion controller for active queue management of differentiated-services networks. Two important issues in differentiated-services architecture are bandwidth guarantee and fair sharing of unsubscribed bandwidth among TCP flows with and without bandwidth reservation. The nonlinear congestion controller was composed fuzzy logic controller and state feedback controller. The nonlinear congestion controller methodology has been applied to a TCP network. We use NS-2 simulation to demonstrate that the proposed control methodology achieves the desired behavior of the network, and possesses important attributes.

• 경영과정보연구
• /
• 제38권2호
• /
• pp.83-103
• /
• 2019

공급사슬관리(SCM)는 경쟁우위를 점하기 위하여 파트너기업과의 동반성장 방안의 모색과 더불어 지속적 협력관계를 유지하기 위한 노력이 필요하다. 여기에 정보역량이 공급사슬 내에서 많은 역할을 수행하고 있기 때문에 정보역량에 영향을 미칠 수 있는 정보공유와 파트너십 품질과의 관계를 살펴볼 필요성이 크다. 파트너기업 간 지속적 거래관계를 유지하기 위해서는 공급사슬 내 힘의 불균형에 따르는 파트너기업과의 장애요소들을 파악하고 효과적으로 관리하는 전략적 접근이 필요하다. 따라서 파트너기업의 본받을만한 CSV와 비구속적 파워의 속성을 통한 동반성장의 논리를 펼칠 수 있도록 하는 전략적 접근방식을 논할 필요성이 크다고 보여 진다. 최근 CSV는 기존의 CSR과 더불어 사회적 문제 해결이라는 사회적 경제적 창출 관점에서 중요한 이슈가 되고 있다. 자연히 향후 신 경영 패러다임으로써 공유가치창출이 다각도로 검토될 것이다. 본 연구는 SCM의 정보역량 고도화를 위하여 CSV와 비구속적 파워의 개념을 접목하여 사회적인 문제 해결에 따른 기업의 지속 성장 모델을 제안하고자 하였다. SCM 구축업체를 대상으로 한 설문지 142부를 PLS 구조방정식 모형으로 분석하여 다음과 같은 결과를 도출하였다. CSV와 비구속적 파워 모두 정보공유와 파트너십 품질에 유의한 영향을 미쳤으며, 정보공유와 파트너십 품질을 통한 정보역량 향상을 도모할 수 있다는 결과가 도출되었다. 이를 바탕으로 SCM 참여기업의 상생을 위한 변인으로 CSV와 비구속적 파워의 인식을 높여야 한다는 시사점을 제시하였다.