• Korean Journal of Pharmacognosy
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• v.29 no.2
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• pp.86-92
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• 1998

Chang-Back-San and Chil-Mi-Chang-Back-San have been used for the treatment of neuralgia and arthritis in traditional medicine. The anti-inflammatory activities of Chang-Back-San and Chil-Mi-Chang-Back-San water extract (CBSE and CCBSE) on the carrageenin induced edema, Corton oil induced granuloma pouch, and adjuvant arthritis in rats were examined. The analgesic effects of the CBSE and CCBSE were also investigated utilizing acetic acid induced writhing syndrome in mice. The oral administration of CBSE and CCBSE showed to have the anti-inflammatory activities in 1% carrageenin induced edema in rats. They also showed significant inhibitory effects on granuloma and exudate formation in rats. In the method of adjuvant arthritis, they orally administered for 19 days, inhibited the hind paw edema in rats from 3rd day to 19th day, especially CCBSE has the efficacy more than CBSE. They significantly decreased the number of writhing syndromes induced by acetic acid in mice. In the present study, CBSE and CCBSE were indicated to have the anti-inflammatory and analgesic activities.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.15 no.10 s.89
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• pp.996-1004
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• 2004

1-Dimensional Cluster-Based Sequence Equalizer(1-D CBSE) lessens computational load, compared with the classic maximum likelihood sequence estimation(MLSE) equalizers, and has the superiority in the nonlinear channels. In this paper, we proposed an algorithm of searching for optimal training sequence that estimates the cluster centers instead of time-varying multipath fading channel estimation. The proposed equalizer not only resolved the problems in 1-D CBSE but also improved the bandwidth efficiency using the shorten length of taming sequence to improve bandwidth efficiency. In experiments, the superiority of the new method is demonstrated by comparing conventional 1-D CBSE and related analysis.

• Proceedings of the Korea Information Processing Society Conference
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• 2000.04a
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• pp.1007-1012
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• 2000

CBSE를 이루는 관련 기술들 중 하나인 소프트웨어 아키텍처는 시스템의 구조적 기술로서 시스템을 구성하는 컴포넌트와 그 컴포넌트들 사이의 상호작용을 기술한 것이다. 소프트웨어 아키텍처는 CBSE에서의 컴포넌트 사이의 조합에 대한 기술 및 방법론을 제공함을써, CBSE의 핵심 기술 중 하나로 자리잡고 있다. 본 논문에서는 컴포넌트 명세를 위해서 Formal methods와 ADL이 가지고 있는 장단점을 상호보완하하기 위하여 Z언어를 이용하여 컴포넌트, 커넥터, 전체 시스템 구성을 기술하는 3가지 전략과 이 전략을 기반으로 컴포넌트를 명세하는 방법을 제안한다.

• International Journal of Computer Science & Network Security
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• v.22 no.9
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• pp.143-148
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• 2022

Component-based software development (CBD) is a methodology that has been embraced by the software industry to accelerate development, save costs and timelines, minimize testing requirements, and boost quality and output. Compared to the conventional software development approach, this led to the system's development being completed more quickly. By choosing components, identifying systems, and evaluating those systems, CBSE contributes significantly to the software development process. The objective of CBSE is to codify and standardize all disciplines that support CBD-related operations. Analysis of the comparison between component-based and scripting technologies reveals that, in terms of qualitative performance, component-based technologies scale more effectively. Further study and application of CBSE are directly related to the CBD approach's success. This paper explores the introductory concepts and comparative analysis related to component-based software engineering which have been around for a while, but proper adaption of CBSE are still lacking issues are also focused.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.9
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• pp.165-170
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• 2014

Speech enhancement techniques that remove surrounding noise are stressed to preprocessor of speech recognition. Among the various speech enhancement techniques, Codebook-based Speech Enhancement (CBSE) operates efficiently in non-stationary noise environments. But, CBSE has some problems that inaccurate gains can be estimated if mismatch occur between input noisy signal and trained speech/noise codevectors. In this paper, the Normalized Weighting Factor (NWF) is calculated by long-term noise estimation algorithm based on Signal-to-Noise Ratio, compensated to the conventional inaccurate gains. The proposed CBSE shows better performance than conventional CBSE.

• Journal of KIISE:Software and Applications
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• v.33 no.6
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• pp.525-538
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• 2006

Component-Based Software Engineering (CBSE) is widely accepted as new paradigms for building applications with reusable assets. Mismatch problems occur while integrating the assets and make a burden in CBSE. Therefore, a larger-grained reuse unit than a component such as a framework is required, and it consists of relevant components, connectors and domain-specific architecture. The benefits of frameworks over components are commonly known, however, the key elements and internal structure of framework has not been clearly defined. We believe most of the framework models proposed in recent works remain at conceptual level. In this paper, we propose a practical-level framework reference model, and define key elements of frameworks. The research goal is to precisely identify concrete elements of a framework, inter-connection of components within a framework, extended notion of connectors, and tailored meaning of architecture In a framework. Hence, the proposed framework can be practically implemented in common object-oriented languages and with middleware such as lava, J2EE, CORBA Component Model (CCM) and NET.

• Journal of the Institute of Electronics and Information Engineers
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• v.52 no.7
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• pp.119-124
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• 2015

Speech enhancement has been required as a preprocessor for a noise robust speech recognition system. Codebook-based Speech Enhancement (CBSE) is highly robust in nonstationary noise environments compared with conventional noise estimation algorithms. However, its performance is severely degraded for the codevector combinations that have lower correlation with the input signal since CBSE depends on the trained codebook information. To overcome this problem, only the reliable codevector combinations are selected to be used to remove the codevector combinations that have lower correlation with input signal. The proposed method produces the improved performance compared to the conventional CBSE in terms of Log-Spectral Distortion (LSD) and Perceptual Evaluation of Speech Quality (PESQ).

• Journal of KIISE:Software and Applications
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• v.31 no.5
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• pp.677-696
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• 2004

Component-based software engineering (CBSE) composes reusable components and develops applications with the components. CBSE is admitted to be a new paradigm that reduces the costs and times to develop software systems. The high quality of component designs can be assured if the consistency and correctness among the elements of a component are verified with formal specifications. Current formal languages for components include only some parts of contracts between interfaces, structural aspects and behavioral aspects of component, component-based system, component composition and variability. Therefore, it is not adequate to use current formal languages in all steps of a component design process. In this paper, we suggest a formal language to specify component designs Component-Z. Component-Z extends Object-Z, adds new notations to specify components. It can be possible to specify interfaces, the inner structure of a component, inner workflows, and workflows among interfaces with Component-Z. In addition, Component-Z provides the notations and semantics to specify variability with variation points, variants and required interfaces. The relation between interfaces and components is defined with mapping schemas. Parallel operator is used to specify component composition. It can be possible to describe deployed components with the specifications of component-based systems. Therefore, the formal specification language proposed in this paper can represent all elements to design components. In the case study, we specify an account management system in a bank so that we show that Component-Z can be used in all steps of component design.

• Proceedings of the KIEE Conference
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• 2004.07d
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• pp.2565-2567
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• 2004

본 논문에서는 빠르게 변화하는 이동 무선 채널 환경에서 심각한 성능 저하를 일으키는 인접 심볼 간섭(Inter-symbol interference: ISI)에 대처하기 위해 MLSE(Maximum Likelihood Sequence Estimztion) 등화기의 성능을 향상시키는 방법을 제안하였다. 기존의 MLSE 등화기는 비터비 알고리즘으로 어느 정도 계산량을 감소시켰지만, 정확한 채널 임펄스 응답을 필요로 하기 때문에, 시변 채널에서의 복잡한 채널 추정이 그 문제점으로 남아 있다. 이러한 문제점을 해결하기 위해서, 간단하고 향상된 칼만 필터 기반의 채널 추정기를 새롭게 제안하여 MLSE의 복잡성을 줄였다. 또한, 복잡한 채널 추정을 대신하여 페이딩 채널을 거쳐 수신된 데이터를 클러스터로 매핑하여 클러스터 중심 추정을 이용한 1-D CBSE(1-Dimensional Clustering-based Sequence Equalizer) 알고리즘에, 최소 길이를 지닌 훈련 시퀀스를 제안하여 개선된 1-D CBSE을 이용한 MLSE 등화 성능을 보여주었다.

• The KIPS Transactions:PartD
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• v.8D no.1
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• pp.99-104
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• 2001

As a plan to counteract solving software crisis, the technology that is called Component Based Software Engineering (CBSE or Componentware) is introsuced. Component Based Software Developement (CBSD) Processes as one of the technique among CBSE have been proposed. Component specification activities among CBSD Processed are necessary and important for generating feusable component. However, the existing CBSD processed can't ensure the correctness in requirements are reflected. In this paper, we propose that formal activities wgich specify component using formal specification language Z which is verified with the ability of analysis and logicality. The proposed activities are composed of 5 tasks and 12 subtasks. By presenting specific 19 products, it is also proposed that component specification activities which are the base of CBSD for reusing. The proposed activities are able to improve qualities of component through correctness and verification of requirements specification of users in the early step of component-based software process.