• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.12
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• pp.2783-2790
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• 2010

In this paper, we first review LDPC codes in general and a belief propagation algorithm that works in logarithm domain. LDPC codes, which is chosen 802.11n for wireless local access network(WLAN) standard, require a large number of computation due to large size of coded block and iteration. Therefore, we presented three kinds of low computational algorithms for LDPC codes. First, sequential decoding with partial group is proposed. It has the same H/W complexity, and fewer number of iterations are required with the same performance in comparison with conventional decoder algorithm. Secondly, we have apply early stop algorithm. This method reduces number of unnecessary iterations. Third, early detection method for reducing the computational complexity is proposed. Using a confidence criterion, some bit nodes and check node edges are detected early on during decoding. Through the simulation, we knew that the iteration number are reduced by half using subset algorithm and early stop algorithm is reduced more than one iteration and computational complexity of early detected method is about 30% offs in case of check node update, 94% offs in case of check node update compared to conventional scheme. The LDPC decoder have been implemented in Xilinx System Generator and targeted to a Xilinx Virtx5-xc5vlx155t FPGA. When three algorithms are used, amount of device is about 45% off and the decoding speed is about two times faster than convectional scheme.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.1
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• pp.100-108
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• 2018

This paper describes a design of scalable RSA public-key cryptography processor supporting four key lengths of 512/1,024/2,048/3,072 bits. The modular multiplier that is a core arithmetic block for RSA crypto-system was designed with 32-bit datapath, which is based on the CIOS (Coarsely Integrated Operand Scanning) Montgomery modular multiplication algorithm. The modular exponentiation was implemented by using L-R binary exponentiation algorithm. The scalable RSA crypto-processor was verified by FPGA implementation using Virtex-5 device, and it takes 456,051/3,496347/26,011,947/88,112,770 clock cycles for RSA computation for the key lengths of 512/1,024/2,048/3,072 bits. The RSA crypto-processor synthesized with a $0.18{\mu}m$ CMOS cell library occupies 10,672 gate equivalent (GE) and a memory bank of $6{\times}3,072$ bits. The estimated maximum clock frequency is 147 MHz, and the RSA decryption takes 3.1/23.8/177/599.4 msec for key lengths of 512/1,024/2,048/3,072 bits.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.6B
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• pp.954-961
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• 2010

Stream cipher was worse than block cipher in terms of security, but faster in execution speed as an advantage. However, since so far there have been many algorithm researches about the execution speed of block cipher, these days, there is almost no difference between them in the execution speed of AES. Therefore an secure and fast stream cipher development is urgently needed. In this paper, we propose a 32bit output fast stream cipher, AA32, which is composed of ASR(Arithmetic Shifter Register) and simple logical operation. Proposed algorithm is a cipher algorithm which has been designed to be implemented by software easily. AA32 supports 128bit key and executes operations by word and byte unit. As Linear Feedback Sequencer, ASR 151bit is applied to AA32 and the reduction function is a very simple structure stream cipher, which consists of two major parts, using simple logical operations, instead of S-Box for a non-linear operation. The proposed stream cipher AA32 shows the result that it is faster than SSC2 and Salsa20 and satisfied with the security required for these days. Proposed cipher algorithm is a fast stream cipher algorithm which can be used in the field which requires wireless internet environment such as mobile phone system and real-time processing such as DRM(Digital Right Management) and limited computational environments such as WSN(Wireless Sensor Network).

• Management & Information Systems Review
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• v.36 no.2
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• pp.37-58
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• 2017

This study analyzed the effect of how much work-family conflict affect on job involvement and life satisfaction and the effect of moderating effect of demographic characteristics in Mongolia SMEs. For these, this study explores theoretical background about work-family conflict(work interference with family conflict, family interference work conflict), job involvement and life satisfaction, then derived research framework and hypotheses from exploration of theoretical background. According to hypothesis testing result, first, work interference with family conflict has negative effect on life satisfaction. Second, family interference work conflict has negative effect on job involvement and life satisfaction. Third, there is not significance of moderating effect of demographic characteristics between work-family conflict and job involvement/life satisfaction. The main implication of this study is to promote leader's change of awareness about work-family conflict management, to institute flexible work arrangements and selective implementation of a maternity leave and a parental leave and to establish an evaluation system.

• International Commerce and Information Review
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• v.16 no.2
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• pp.47-67
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• 2014

Since the global financial crisis, criticism against the integrity of financial institutions proposed new financial regulations such as Basel III. These systems are expected to have impacts multilaterally on management and structure of mid- and long-term financial industry. It is also believed that financial institutions will inevitably review business model to respond to these enhanced regulations. The ongoing global financial regulation pursues regulation scope extension, introduction of global regulatory capital system, introduction of global liquidity, etc. As for quantitative index, Basel Committee on Banking Supervision is promoting QIS which is discussed mainly on implementation time from the juridical point of view. This study aims to present domestic banking industry's structural changes depending on regulation enhancement of foreign countries after global financial crisis, and suggest strategy that improves competitiveness of products. Looking at the research result, global financial regulation requires compliance with the regulations through treaties but it shows negative time center around banks. Furthermore, it is also pointed out financially advanced countries' passive attitude on regulation enhancement is problem. Therefore, regulations differentiated between developing and developed countries, dualistic regulations on financial industry, participation of advanced nations, etc are the postulation to change the structure of financial industry.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.1
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• pp.9-14
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• 2004

Rational sense is affected by emotion. If we add the factor of estimated emotion by environment information into robots, we may get more intelligent and human-friendly robots. However, various sensory information and pattern classification are prescribed for robots to learn emotion so that the networks are suitable for the necessity of robots. Neural network has superior ability to extract character of system but neural network has defect of temporal cross talk and local minimum convergence. To solve the defects, many kinds of modular neural networks have been proposed because they divide a complex problem into simple several subproblems. The modular neural network, introduced by Jacobs and Jordan, shows an excellent ability of recomposition and recombination of complex work. On the other hand, the recurrent network acquires state representations and representations of state make the recurrent neural network suitable for diverse applications such as nonlinear prediction and modeling. In this paper, we applied recurrent network for the expert network in the modular neural network structure to learn data pattern based on emotional assessment. To show the performance of the proposed network, simulation of learning the environment and behavior pattern is proceeded with the real time implementation. The given problem is very complex and has too many cases to learn. The result will show the performance and good ability of the proposed network and will be compared with the result of other method, general modular neural network.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.5
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• pp.805-821
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• 2020

Cyber defense exercise should require training on the latest cyber attacks and have a similar process to defense cyber attacks. In addition, it is also important to train on cyber resilience that can perform normal tasks or support equivalent tasks regardless of cyber attacks. In this paper, we proposed and developed a cyber range that can strengthen the elements of cyber resilience by performing cyber defense exercise in real time based on the cyber crisis alert issued when a cyber attack occurs in Korea. When BLUE, YELLOW, ORANGE, and RED warnings are issued according to the cyber crisis, our system performs proactive response, real time response, and post response according to the alarm. It can improve trainee's capability to respond to cyber threats by performing cyber defense exercise in a cyber crisis environment similar to the actual situation of Korea.

• Proceedings of the Korean Information Science Society Conference
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• 2001.04a
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• pp.193-195
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• 2001

현대 사회는 인터넷을 통하여 수많은 정보들을 신속히 얻을 수 있고 공유할 수 있지만, 아직까지 PSTN(Public Switched Telephone Network: 공중전화망)을 이용하는 팩스가 광범위하게 사용되고 있다. 그것은 팩스가 컴퓨터 환경이 주어지지 않는 상황에서도 정보의 교환이 가능하며, 현재 팩스의 기능을 대체할 수 있는 전자메일 못지 않게 상세한 정보를 24시간 주고 받아볼 수 있기 때문이다. 그러나, 공중전화망을 이용한 팩스 전송은 LAN 환경에서의 정보 전송보다 높은 전송 비용 및 느린 전송 속도록 인하여 LAN과 PSTN을 혼용하는 인터넷 팩스 시스템이 개발되었고, 현재 상용 서비스되고 있다. 그런데, 상용 서비스를 하고 있는 인터넷 팩스 업체들은 고가의 장비와 유지/보수비용에 따른 전송 비용을 책정함으로써 공중 전화망을 이용한 전송 비용의 부담을 완전히 해소해 주지는 못하고 있다. 본 논문에서는 상용 업체들의 팩스 시스템과 서비스 형태를 분석하고, 그에 따라 전송 비용을 좀 더 절감할 수 있게 하기 위한 분산 인터넷 팩스 시스템을 설계 및 구현하였다. 즉, 상용 업체에서 제공하는 인터넷 팩스 시스템의 전송 서비스 기능의 대부분을 포함하면서, 팩스 모뎀과 LAN 환경에 연결된 PC를 사용하여 인터넷 팩스 시스템을 구축하게 함으로써 하드웨어의 구입비 및 유지/보수비용을 최소화하였을 뿐만 아니라 지역마다 팩스 서버를 분산 배치하여 별도로 운영하게 함으로써 상용 인터넷 팩스 서비스 업체들이 단독 혹은 일부 분사-지사 형태로 전송 처리해 오던 방법을 완전히 지역별로 작업을 분배 처리할 수 있게 하였다.위를 점하였다.전송과 복원이 이루어질 것이다.하지 않은 경우 단어 인식률이 43.21%인 반면 표제어간 음운변화 현상을 반영한 1-Best 사전의 경우 48.99%, Multi 사전의 경우 50.19%로 인식률이 5~6%정도 향상되었음을 볼 수 있었고, 수작업에 의한 표준발음사전의 단어 인식률 45.90% 보다도 약 3~4% 좋은 성능을 보였다.으로서 hemicellulose구조가 polyuronic acid의 형태인 것으로 사료된다. 추출획분의 구성단당은 여러 곡물연구의 보고와 유사하게 glucose, arabinose, xylose 함량이 대체로 높게 나타났다. 점미가 수가용성분에서 goucose대비 용출함량이 고르게 나타나는 경향을 보였고 흑미는 알칼리가용분에서 glucose가 상당량(0.68%) 포함되고 있음을 보여주었고 arabinose(0.68%), xylose(0.05%)도 다른 종류에 비해서 다량 함유한 것으로 나타났다. 흑미는 총식이섬유 함량이 높고 pectic substances, hemicellulose, uronic acid 함량이 높아서 콜레스테롤 저하 등의 효과가 기대되며 고섬유식품으로서 조리 특성 연구가 필요한 것으로 사료된다.리하였다. 얻어진 소견(所見)은 다음과 같았다. 1. 모년령(母年齡), 임신회수(姙娠回數), 임신기간(姙娠其間), 출산시체중등(出産時體重等)의 제요인(諸要因)은 주산기사망(周産基死亡)에 대(對)하여 통계적(統計的)으로 유의(有意)한 영향을 미치고 있어 $25{\sim}29$세(歲)의 연령군에서, 2번째 임신과 2번째의 출산에서 그리고 만삭의 임신 기간에, 출산시

• The KIPS Transactions:PartC
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• v.13C no.7 s.110
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• pp.821-830
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• 2006

As internet worms are spread out worldwide, the detection and filtering of worms becomes one of hot issues in the internet security. As one of implementation methods to detect worms, the Linux Netfilter kernel module can be used. Its basic operation for worm detection is a string matching where coming packet(s) on the network is/are compared with predefined worm signatures(patterns). A worm can appear in a packet or in two (or more) succeeding packets where some part of worm is in the first packet and its remaining part is in its succeeding packet(s). Assuming that the maximum length of a worm pattern is less than 1024 bytes, we need to perform a string matching up to two succeeding packets of 2048 bytes. To do so, Linux Netfilter keeps the previous packet in buffer and performs matching with a combined 2048 byte string of the buffered packet and current packet. As the number of concurrent connections to be handled in the worm detection system increases, the total size of buffer (memory) increases and string matching speed becomes low In this paper, to reduce the memory buffer size and get higher speed of string matching, we propose a string matching scheme without using buffer. The proposed scheme keeps the partial matching result of the previous packet with signatures and has no buffering for previous packet. The partial matching information is used to detect a worm in the two succeeding packets. We implemented the proposed scheme by modifying the Linux Netfilter. Then we compared the modified Linux Netfilter module with the original Linux Netfilter module. Experimental results show that the proposed scheme has 25% lower memory usage and 54% higher speed compared to the original scheme.

• Journal of Intelligence and Information Systems
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• v.20 no.1
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• pp.1-14
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• 2014

Both researchers and practitioners are showing an increased interested in interactive exhibition services. Interactive exhibition services are designed to directly respond to visitor responses in real time, so as to fully engage visitors' interest and enhance their satisfaction. In order to install an effective interactive exhibition service, it is essential to adopt intelligent technologies that enable accurate estimation of a visitor's emotional state from responses to exhibited stimulus. Studies undertaken so far have attempted to estimate the human emotional state, most of them doing so by gauging either facial expressions or audio responses. However, the most recent research suggests that, a multimodal approach that uses people's multiple responses simultaneously may lead to better estimation. Given this context, we propose a new multimodal emotional state estimation model that uses various responses including facial expressions, gestures, and movements measured by the Microsoft Kinect Sensor. In order to effectively handle a large amount of sensory data, we propose to use stratified sampling-based MRA (multiple regression analysis) as our estimation method. To validate the usefulness of the proposed model, we collected 602,599 responses and emotional state data with 274 variables from 15 people. When we applied our model to the data set, we found that our model estimated the levels of valence and arousal in the 10~15% error range. Since our proposed model is simple and stable, we expect that it will be applied not only in intelligent exhibition services, but also in other areas such as e-learning and personalized advertising.