• Journal of the Korea Institute of Information Security & Cryptology
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• v.27 no.3
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• pp.563-577
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• 2017

Due to the Internet and computing capability, new and variant malware are discovered around 1 Million per day. Companies use dynamic analysis such as behavior analysis on virtual machines for unknown malware detection because attackers use unknown malware which is not detected by signature based AV effectively. But growing number of malware types are not only PE(Portable Executable) but also non-PE such as MS word or PDF therefore dynamic analysis must need more resources and computing powers to improve detection effectiveness. This study elicits the pre-filtering system evaluation factor to improve effective dynamic malware analysis system and presents and verifies the decision making model and the formula for solution selection using AHP(Analytics Hierarchy Process)

• Journal of the Korea Computer Industry Society
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• v.3 no.3
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• pp.321-330
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• 2002

A 2-D median filter has many applications in various image and video signal processing areas. The rapid development in VLSI technology makes it possible to implement a real-time or near real-time 2-D median filter with reasonable cost. For the efficient VLSI implementation, the algorithm should have characteristics such as small memory requirements, regular computations, and local data transfers. This paper presents an architecture of the real-time two-dimensional separable median filter which has appropriate characteristics for the VLSI implementation. For the efficient two-dimensional median filter, a separable two-dimensional median filtering structure and a bit-sliced pipelined median searching algorithm are used. A behavioral simulator is implemented with C language and used for the analysis of the presented architecture.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06b
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• pp.277-279
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• 2006

본 논문에서는 스크래치 텍스처 및 형태특성을 이용하여 모든 종류의 스크래치를 자동으로 검출 할 수 있는 방법을 제안한다. 제안한 방법은 텍스처 분류 단계와 형태 필터링 단계를 구성된다. 텍스처 분류단계에서는 스크래치의 텍스처 정보를 이용하여 입력영상의 각 화소를 스크래치와 비스크래래치 영역으로 분류한다. 이때 분류기로 신경망을 사용한다. 형태필터링단계에서는 스크래치의 형태정보에 기반하여 설계된 원소구조를 사용하는 모폴로지 필터를 사용하여 잘못 분류된 스크래치 영역을 제거한다. 제안된 방법의 평가를 위해 다양한 종류의 스크래치를 가진 영화 및 애니메이션 데이터에 대해 실험이 이루어 졌고, 그 결과 제안된 방법의 강건함과 효율성이 입증되었다.

• The Korean Journal of Applied Statistics
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• v.28 no.5
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• pp.871-883
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• 2015

Vector autoregressive (VAR) models in high dimension suffer from noisy estimates, unstable predictions and hard interpretation. Consequently, the sparse vector autoregressive (sVAR) model, which forces many small coefficients in VAR to exactly zero, has been suggested and proven effective for the modeling of high dimensional time series data. This paper studies coupling measures to select non-zero coefficients in sVAR. The basic idea based on the simulation study reveals that removing the effect of other variables greatly improves the performance of coupling measures. sVAR model coefficients are asymmetric; therefore, asymmetric coupling measures such as Granger causality improve computational costs. We propose two asymmetric coupling measures, filtered-cross-correlation and filtered-Granger-causality, based on the filtered residuals series. Our proposed coupling measures are proven adequate for heavy-tailed and high order sVAR models in the simulation study.

• Journal of Broadcast Engineering
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• v.13 no.3
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• pp.401-410
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• 2008

Multiview Video Coding contains a macroblock-based illumination compensation tool which can compensate the variations of illuminations according to view or temporal directions. Thanks to illumination compensation tool, the coding efficiency of Multiview Video Coding has been enhanced. However illumination compensation tool also generates additional subjective drawbacks of the blocking artifacts due to macroblock-based compensations of mean values. A deblocking filtering method for Multiview Video Coding which is the same as in H.264/AVC does not consider illumination difference between the illumination compensated blocks, thus it can not effectively eliminate the blocking artifacts. Therefore, this paper analyzes the phenomena of blocking artifacts caused by illumination compensation and proposes a method which can effectively eliminate the blocking artifacts with the minimum changes of the H.264 deblockding filtering method. In the simulation results, it can be easily found the blocking artifacts are clearly eliminated in the subjective comparisons, and the average bit-rate reduction is up to 1.44%.

• Journal of Intelligence and Information Systems
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• v.8 no.2
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• pp.139-157
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• 2002

The rapid growth of e-commerce has made both companies and customers face a new situation. Whereas companies have become to be harder to survive due to more and more competitions, the opportunity for customers to choose among more and more products has increased. So, the recommender systems that recommend suitable products to the customer have an important position in E-commerce. This research introduces collaborative filtering based recommender system which helps customers find the products they would like to purchase by producing a list of top-N recommended products. The suggested methodology is based on decision tree, product taxonomy, and association rule mining. Decision tree is used to select target customers, who have high possibility of purchasing recommended products. We applied the recommender system to a Korean department store. The methodology is evaluated with the analysis of a real department store case and is compared with other methodologies.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.20 no.6
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• pp.97-109
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• 2010

Although the primary liability for online copyright infringement may fall on the individual who illegally copies, transfers, and/or distributes the copyrighted content, the issue of indirect liability for Online Service Providers (OSPS) that provide a channel for the distribution of illegal content has recently come under the spotlight. Currently, in an effort to avoid liability for indirect copyright infringement and improve their reputation, most OSPs have voluntarily applied filtering technology. Under the Copyright Act of Korea, special types of OSPS including P2P and Web-based Hard Drive (WebHard) are required to incorporate filtering technology, and may be charged with penalties if found without one. However, despite the clear need for filtering mechanisms, several arguments have been set forth that question the efficacy and appropriateness of the system. As such, this paper discusses the liability theory adopted in the US. -a leader in internet technology development-and analyzes the scope of liability and filtering related regulations in our copyright law. In addition, this paper considers the current applications of filtering as well as limits of the applied filtering technology in OSPS today. Finally, we make four suggestions to improve filtering in Korea, addressing issues such as clarifying the limits and responsibilities of OSPS, searching for cooperative solutions between copyright holders and OSPS, standardizing the filtering technology to enable compatibility among different filtering techniques, and others.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.45 no.7
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• pp.52-60
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• 2008

The deblocking filter in the H.264/AVC video coding standard helps to reduce the blocking artifacts produced in the decoding process. But it consumes one third of the computational complexity in H.624/AVC decoder, which advocates an efficient design of a hardware accelerator for filtering. This paper proposes an architecture of deblocking filter using two filters and some registers for data reuse. Our architecture improves the throughput and minimize the number of external memory access by increasing data reuse. After initialization, two filters are able to perform filtering operation simultaneously. It takes only 96 clocks to complete filtering for one macroblock. We design and synthesis our architecture using Dongbuanam $0.18{\mu}m$ standard cell library and the maximum clock frequency is 200MHz.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.4
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• pp.766-772
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• 2007

H.264/AVC is a new international standard for the compression of video images, in which a deblocking filter has been adopted to remove blocking artifacts. This paper proposes an efficient architecture of deblocking filter in H.264/AVC. By making good use of data dependence between neighboring $4{\times}4$ blocks, the memory size is reduced and the throughput of the deblocking filter processing is increased. Compared to the conventional deblocking filters, the proposed architecture enhances the performance of deblocking filter processing from 1.75 to 4.23 times. Hence the proposed architecture is able to perform real-time deblocking of high-resolution($2048{\times}1024$) video applications.

• Journal of KIISE:Databases
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• v.32 no.4
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• pp.372-382
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• 2005

Aggregation such as computing an average value of data measured in each sensor commonly occurs in many applications of sensor networks. Since sensor networks consist of low-cost nodes with limited battery power, reducing energy consumption must be considered in order to achieve a long network lifetime. Reducing the amount of messages exchanged is the most important for saving energy. Earlier work has demonstrated the effectiveness of in-network data aggregation and data filtering for minimizing the amount of messages in sensor networks. In this paper, we propose an adaptive error adjustment scheme that is simpler, more effective and efficient than previous work. The proposed scheme is based on self-adjustment in each sensor node. We show through various experiments that our scheme reduces the network traffic significantly, and performs better than existing methods.