• 한국IT서비스학회:학술대회논문집
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• 2006.11a
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• pp.177-184
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• 2006

시스템의 동적 요소를 기술하고 분석하기 위해 C&C view 아키텍처를 주로 사용하지만 시스템의 실행 순서나 상태에 대한 정보가 부족하기 때문에 단지 C&C view 아키텍처로만 시스템의 동적 요소를 분석하기가 어렵다. FSP model은 시스템의 동작을 표현하기 위한 모델링 언어로써 시스템의 동작을 모델링 할 뿐만 아니라 LTSA라는 FSP 검증 툴을 이용하여 시스템의 특성을 자동으로 파악하기에도 용이한 특성을 가지고 있어 시스템 동적 요소 분석에 도움을 준다. 하지만 관련 정보를 얻기 어려워 FSP model을 구현하는데 어려움이 있다. 이 논문은 C&C view 아키텍처와 요구 사항(Use Case Scenario 혹은 Sequence diagram)을 근간으로 시스템의 동적 요소를 FSP로 모델링 하는 방법을 정의한다. 또한 LTSA 툴을 이용하여 자동적으로 시스템의 특성을 검증할 수 있고, 이를 통해 시스템 구현 전에 시스템의 에러를 찾아내고 해결하는 도움을 줄 수 있다. C&C view 아키텍처는 시스템의 컴포넌트와 커넥터에 대한 정보를 제공하여 주고 요구 사항은 소프트웨어 시스템의 행동에 대한 정보를 제공하여 줄 수 있다. 만약 우리가 컴포넌트와 커넥터에 대한 정보가 있고 시스템 동적 요소에 대해 알고 있다면 우리는 이것을 기반으로 메시지 흐름도를 구현할 수 있다. 메시지 흐름도는 Harel, Kugler 와 Pnueli에 의해 개발된 Synthesized 알고리즘을 이용하여 Statechart로 만들어지고 이것은 바로 FSP model로 변환될 수 있다. 우리가 소프트웨어 시스템에 대한 FSP model을 가지고 있다면 이것을 기반으로 시스템 행동 특성을 체크할 수 있으며 이는 향후 발생할 수 있는 결함을 미리 찾아내는데 유용한 도움이 될 수 있다. 우리는 간단한 예제를 통해 본 논문의 이론을 수립하였으며 이를 기반으로 실제 어플리케이션에 적용하여 그 효용성을 검증하였다.

• Journal of KIISE:Computer Systems and Theory
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• v.28 no.9
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• pp.424-433
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• 2001

The cyclic debugging approach often fails for message passing parallel programs because they non-deterministic characteristics due to message race conditions. This paper identifies the MPI events that affect non-deterministic executions, and then converts the concurrent execution to the sequential one that is controlled in order to make it equivalent to a reference execution by keeping their orders of events in two executions identical. This paper also presents an efficient algorithm for the causal distributed breakpoint which is initiated by any sequential breakpoint in one process, and restores each process to the earliest state that reflects all events that happened causally before the sequential breakpoint. So a cyclic debugging approach can be used in debugging MPI parallel programs as like as in debugging sequential programming environments.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.3
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• pp.380-387
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• 2010

For the fault diagnosis of three-phase induction motors, we propose a diagnosis algorithm based on mutual information and linear discriminant analysis (LDA). The experimental unit consists of machinery module for induction motor drive and data acquisition module to obtain the fault signal. As the first step for diagnosis procedure, DFT is performed to transform the acquired current signal into frequency domain. And then, frequency components are selected according to discriminate order calculated by mutual information As the next step, feature extraction is performed by LDA, and then diagnosis is evaluated by k-NN classifier. The results to verify the usability of the proposed algorithm showed better performance than various conventional methods.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.29 no.5
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• pp.1027-1037
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• 2019

Conventional cyber-attack detection solutions are generally based on signature-based or malicious behavior analysis so that have had difficulty in detecting unknown method-based attacks. Since the various information occurring all the time reflects the state of the system, by modeling it in a steady state and detecting an abnormal state, an unknown attack can be detected. Since a variety of system information occurs in a string form, word embedding, ie, techniques for converting strings into vectors preserving their order and semantics, can be used for modeling and detection. Novelty Detection, which is a technique for detecting a small number of abnormal data in a plurality of normal data, can be performed in order to detect an abnormal condition. This paper proposes a method to detect system anomaly by cyber attack using embedding and novelty detection.

• Journal of the Korean Chemical Society
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• v.35 no.4
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• pp.343-349
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• 1991

Formation of charge transfer complex between iodine and substituted aniline [aniline, N,N-dimethylaniline(N,N-DMA), 2,6-dimethylaniline(2,6-DMA), 2,4,6-trimethylaniline(2,4,6-TMA)] in CHCl$_3$, CH$_2$Cl$_2$ : CHCl$_3$ (1 : 1), and CH$_2$Cl$_2$ have been studied kinetically by using conductivity method. In the transformation of initially formed outer charge transfer complex to inner complex, the effects of substituted aniline as electron donor and polar medium on the reaction were investigated. The rate of transformation depend on the dielectric contribution of medium and pK$_a$ value of substituted aniline. The order of rate increasing is 2,4,6-TMA, 2,6-DMA, aniline, and N,N-DMA. The activation enthalpy ${\Delta}H^{\neq}$ for 2.5 M-substituted aniline in CHCl$_3$ at 25$^{\circ}C$ is respectively N,N-DMA, 3.47 kcal/mol; aniline, 4.25 kcal/mol; 2,6-DMA, 7.79 kcal/mol and 2,4,6-TMA, 7.96 kcal/mol; and activation entropy ${\Delta}S^{\neq}$ is large and negative value of -41 ~ -55 cal/mol${\cdot}$K.

• Journal of Korean Society of Transportation
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• v.22 no.6
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• pp.197-206
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• 2004

In ranking data, respondents are required to rank a number of alternatives in order of their preferences and an exploded logit model is generally used. It assumes that each rank contains the same amount of random noise. This study investigates the reliability of ranking data and identifies whether there are different decision rules at each rank stage. The results show that there were differences in the amount of unexplained variation in different ranking stage. A single scaling parameter could not explain the difference of variations of individual coefficients between two ranking data average difference of variations. This paper also investigated the optimal explosion depth in the exploded logit model by using the suggested scaling approach. The scaling approach should be based on particular variables which have different variances rather than based on the whole data set. The empirical analysis show that an explosion depth of 2 is appropriate after scaling the second rank data set, while an explosion including the third rank is inappropriate even though the third rank data set is scaled.

• Journal of the Korea Society of Computer and Information
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• v.14 no.9
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• pp.95-104
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• 2009

This paper proposes the noise robust algorithm to detect the starting point of music. Detection of starting point of music is necessary to solve computational-waste problem and retrieval-comparison problem with inconsistent input data in music content based retrieval system. In particular, such detection is even more necessary in time sequential retrieval method that compares data in the sequential order of time in contents based music retrieval system. Whereas it has the long point that the retrieval is fast since it executes simple comparison in the order of time, time sequential retrieval method has the short point that data starting time to be compared should be the same. However, digitalized music cannot guarantee the equity of starting time by bit rate conversion. Therefore, this paper ensured that recognition rate shall not decrease even while executing high speed retrieval by applying time sequential retrieval method through detection of music starting point in the pre-processing stage of retrieval. Starting point detection used minimum wave model that can detect effective sound, and for strength against noise, the noises existing in mute sound were swapped. The proposed algorithm was confirmed to produce about 38% more excellent performance than the results to which starting point detection was not applied, and was verified for the strength against noise.

• Journal of IKEEE
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• v.19 no.2
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• pp.168-175
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• 2015

In this paper, we propose FPGA design technique for rotating LED display device which is capable of displaying videos with the use of the afterimage effect. The proposed technique is made up of image data correction process based on inverse gamma correction and error diffusion, block interleaving process, and data serial output process. The data correction process based on inverse gamma correction and error diffusion is an image data correction step in which image data received are corrected by inverse gamma correction process to convert the data into linear brightness characteristics, and by error diffusion process to reduce the brightness reduction phenomenon in low-gray-level which is caused by inverse gamma correction. In the block interleaving process, the data of the frames entered transversely are first saved in accordance with entrance order, and then only the longitudinal image data are read. The data serial output process is applied to convert the parallel data in a rotating location into serial data and send them to LED Driver IC, in order to send data which will be displayed on high-speedy rotating LED Bar. To evaluate the accuracy of the proposed FPGA design technique, this paper used XC6SLX45-FG484, a Spartan 6 family of Xilinx, as FPGA, and ISE 14.5 as a design tool. According to the evaluation analysis, it was found that goal values were consistent with simulation values in terms of accurate operation of inverse gamma and error diffusion correction, block interleaving operation, and serialized operation of image data.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.06a
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• pp.233-239
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• 2001

최근 대부분의 회사들은 업무를 수행하는데 필요한 지식과 노하우를 공유하고 재사용하기 위하여 지적 자산 관리의 중요성을 인식하고 있다. 특히 고도로 지식 집약적인 업종이라 할 수 있는 IT컨설팅 회사에서는 지적 자산의 관리가 다른 어떤 회사에서보다 큰 중요성을 가지게 된다. 컨설팅 회사에 있어서 검증이 완료된 지적 자산의 공유 및 지능적이면서도 신속한 검색은 컨설팅 서비스의 품질과 고객 만족에 직결되는 중요한 요소이다. 따라서 대부분의 컨설팅 회사들은 자사의 지식 자산을 관리하기 위하여 많은 노력을 기울이고 있다. 본 논문의 목적은 IT 컨설팅 회사예서 관리되는 다양한 형태의 지적 자산들을 중앙 관리하여 설친 고객 사이트에 흩어져 프로젝트를 수행하는 컨설턴트들이 공유할 수 있도록 함으로써 컨설팅 서비스의 생산성과 품질들 높이고자 하는데 있다 이를 위하여 건설팅 회사에서 관리되는 모든 지적 자산의 재고를 조사하여 모델링하고 이를 쉽게 저장하고 검색할 수 있는 시스템 아키텍처를 제안한다. 제안된 아키텍처를 NT 기반에서 Index server를 이용하여 시스템으로 구현하였다 (KMSCR: A Knowledge Management System for managing Consulting Resources). KMSCR에서는 컨설턴트가 찾고자 하는 검색어를 입력하면 다양한 포맷의 (.doc, .ppt, xls, .rtf, .txt, .html 등과 같은) 결과물을 관련성이 높은 순서대로 출력해 줌으로써 컨설팅 리소스를 효과적으로 재사용할 수 있도록 도와 준다. 또한 검색 시에는 미리 등록된 키워드 뿐 아니라 본문 내의 텍스트 검색까지 가능하게 함으로써 컨설팅 리소스에 대한 보다 효과적이고 효율적인 검색을 가능하게 한다.간을 성능 평가 인자로 하여 수행하였다. 논문에서 제한된 방법을 적용한 개선된 RICH-DP을 모의 실험을 통하여 분석한 결과 기존의 제한된 RICH-DP는 실시간 서비스에 대한 처리율이 낮아지며 서비스 시간이 보장되지 못했다. 따라서 실시간 서비스에 대한 새로운 제안된 기법을 제안하고 성능 평가한 결과 기존의 RICH-DP보다 성능이 향상됨을 확인 할 수 있었다.(actual world)에서 가상 관성 세계(possible inertia would)로 변화시켜서, 완수동사의 종결점(ending point)을 현실세계에서 가상의 미래 세계로 움직이는 역할을 한다. 결과적으로, IMP는 완수동사의 닫힌 완료 관점을 현실세계에서는 열린 미완료 관점으로 변환시키되, 가상 관성 세계에서는 그대로 닫힌 관점으로 유지 시키는 효과를 가진다. 한국어와 영어의 관점 변환 구문의 차이는 각 언어의 지속부사구의 어휘 목록의 전제(presupposition)의 차이로 설명된다. 본 논문은 영어의 지속부사구는 논항의 하위간격This paper will describe the application based on this approach developed by the authors in the FLEX EXPRIT IV n$^{\circ}$EP29158 in the Work-package "Knowledge Extraction & Data mining"where the information captured from digital newspapers is extracted and reused in tourist information context.terpolation performance of CNN was relatively

• Journal of Advanced Navigation Technology
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• v.27 no.3
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• pp.306-313
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• 2023

Realistic and graphics-based virtual reality content is based on 360-degree videos, and viewport extraction through the viewer's intention or automatic recommendation function is essential. This paper designs a viewport extraction system based on multiple object tracking in 360-degree videos and proposes a parallel computing structure necessary for multiple viewport extraction. The viewport extraction process in 360-degree videos is parallelized by composing pixel-wise threads, through 3D spherical surface coordinate transformation from ERP coordinates and 2D coordinate transformation of 3D spherical surface coordinates within the viewport. The proposed structure evaluated the computation time for up to 30 viewport extraction processes in aerial 360-degree video sequences and confirmed up to 5240 times acceleration compared to the CPU-based computation time proportional to the number of viewports. When using high-speed I/O or memory buffers that can reduce ERP frame I/O time, viewport extraction time can be further accelerated by 7.82 times. The proposed parallelized viewport extraction structure can be applied to simultaneous multi-access services for 360-degree videos or virtual reality contents and video summarization services for individual users.