• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 1992년도 춘계공동학술대회 발표논문 및 초록집; 울산대학교, 울산; 01월 02일 May 1992
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• pp.299-308
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• 1992

Determining tool-approach directions is an important issue when an effort is made to transfer CAD data into manufacturing automatically. An algorithm is developed to determine whether a given part can be machined on a three-axis milling machine. lf a set of feasible tool-approach directions exists for a sculptured surface, the NC tool path and G-codes for machining the surface on a three-axis milling machine can be generated automatically by an NC tool path generation algorithm. The algorithm can be used for orientation and fixturing of the workpiece for interference free machining. The algorithm can also be applied to checking the translational separability of polyhedral parts in automatic assembly.

• 한국생산제조학회지
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• 제8권6호
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• pp.71-77
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• 1999

Monitoring of Cutting tool wear is a critical issue in automated machining system and has been extensively studied for many years. An austempered ductile iron(ADI) exhibits the excellent mechanical properties and the wear resistance. ADI has generally the poor machinability due to the characteristic. This paper presents the in-process detection of flank wear of cutting tools using the acoustic emission sensor and the digital oscilloscope. The amplitude level of AE signal(AErms) is mainly affected by cutting speed and it is proportional to cutting speed. There have been the relationship of direct proportion between the amplitude level of AE signals and the flank wear width of cutting tool. The flank wear with corresponding to the tool life is successfully detected with the monitor-ing system used in this study.

• 한국정보통신학회논문지
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• 제13권2호
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• pp.243-252
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• 2009

본 논문에서는 유스케이스 기술서 작성 및 편집을 체계적으로 하기 위한 도구를 제시하고자 한다. 또한, 시나리오의 기술에 있어서 1컬럼 방식과 2컬럼 방식 모두를 지원하도록 하였으며, 시나리오 각 단계별 작성과 편집의 처리에 있어서 자동화된 단계 번호 때 기기를 지원하여 작성의 편의성을 높였다. 본 논문에서 제시하는 유스케이스 기술서 작성 도구는 편리하고 효과적으로 유스케이스 기술서를 작성하게 해 줄 뿐만 아니라, 유스케이스 다이어그램과 통합된 유스케이스 모델링 도구의 개발에 기여할 것으로 기대된다.

• 한국기계가공학회지
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• 제20권5호
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• pp.1-7
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• 2021

In recent years, automated process technology has allowed for the rapid manufacturing of metal parts. Maintaining high product quality is of vital importance during the production of these parts. Surface defects occurring after processing can compromise their assembly precision and performance. In this study, a deburring tool was developed that can remove burrs generated from drilling. Through the evaluation of processing, burrs were completely removed at entrance and exit surfaces. Therefore, this newly developed deburring tool shows better performance than deburring tools currently in use.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 ITC-CSCC -2
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• pp.1165-1168
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• 2002

Knowledge acquisition is the process that extracts the required knowledge from available sources, such as experts, textbooks and databases, for incorporation into a knowledge-based system. Knowledge acquisition is described as the first step in building expert systems and a major bottleneck in the efficient development and application of effective knowledge based expert systems. One cause of the problem is that the process of human reasoning we need to understand for knowledge-based system development is not available for direct observation. Moreover, the expertise of interest is typically not reportable due to the compilation of knowledge which results from extensive practice in a domain of problem solving activity. This is also a problem of modeling knowledge, which has been described as not a problem of accessing and translating what is known, but the familiar scientific and engineering problem of formalizing models for the first time. And this formalization process is especially difficult for knowledge engineers who are often faced with the difficult task of creating a knowledge model of a domain unfamiliar to them. In this paper, we propose an automated knowledge acquisition tool which is based on an implementation of the Inferential Modeling Technique. The Inferential Modeling Technique is derived from the Inferential Model which is a domain-independent categorization of knowledge types and inferences ［Chan 1992］. The model can serve as a template of the types of knowledge in a knowledge model of any domain.

• 품질경영학회지
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• 제48권3호
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• pp.381-393
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• 2020

Purpose: The purpose of this study was to find useful solutions by analyzing causes and results about defects on mechanical drawing notes and provide an automated tool with solutions to mechanical engineers. Methods: The collected data for defects on mechanical drawing notes were from ongoing development and mass production projects. Various measurement methods were used based on the Lean 6 Sigma analysis such as Process analysis, C&E diagram and some statistical analysis. Results: The results of this study are as follows; The results of the Lean 6 Sigma analysis, the validity of the selected indicators for improving drawing notes quality was verified through the verification of cause variables. The strategy established to improve the mechanical drawing notes was reflected as an automated program, and the defects were within a manageable range and achieved target Sigma level. Conclusion: Through the application of the "Mechanical drawing notes automation tool", it is expected to resolve the "Voice of Customer, VOC" and "Voice of Business, VOB".

• 한국정보과학회논문지:소프트웨어및응용
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• 제34권8호
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• pp.708-720
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• 2007

메모리 접근연산으로부터 발생되는 프로그램 오류는 C언어로 작성된 테스트 대상 프로그램에서 가장 빈번하게 발생하는 오류이다[1,2]. 기존연구를 통해 이런 문제점을 해결하기 위한 다양한 메모리 오류 자동검출 방법들이 제안되었다. 하지만 기존의 오류검출방법은 테스트 대상 프로그램에 가해지는 부가적인 오버헤드가 매우 크거나 검출할 수 있는 메모리 접근오류의 종류가 제한적이다. 또한 메모리 할당함수의 내부구현에 의존성을 갖고 있기 때문에 플랫폼 간 이식성(portability)이 떨어지는 단점을 갖고 있다. 본 연구에서는 이러한 문제점을 해결하기 위해 새로운 메모리 접근오류 검출기법을 제안하고 테스트 자동화 도구를 설계하였다.

• 한국컴퓨터정보학회논문지
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• 제10권3호
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• pp.249-257
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• 2005

본 논문에서는 IPv6 기반 자동화된 공격 대응도구 알고리즘을 제안하였다. 현재는 IPv6에서 사용할 응용 프로그램 및 표준화에 초점을 두고 연구가 진행중에 있어 향후 IPv6의 보안에 대해서는 아직 연구가 미흡한 상태이다. 본 논문에서 제안한 방법은 IPv6에서 발생할 수 있는 공격과 기존 IPv4에서의 공격을 탐지하고 자동화된 대응방법을 통해 개인의 정보보호가 가능하다. 일반적으로 침입 탐지 시스템의 경우 탐지만 하기 때문에 피해는 계속 반복적이다. 따라서 본 연구에서는 이러한 문제점을 직시하고 조기에 연구함으로써 문제 해결방안을 제시하고자 한다. 본 논문에서 제안한 알고리즘은 리눅스 기반에서 IPv6망을 구축하여 실험 하였다. 실험 결과, 제안한 알고리즘을 이용하여 효율적으로 공격을 검출할 수 있었다.

• 한국건설관리학회논문집
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• 제5권2호
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• pp.144-152
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• 2004

Defining value as a measure of how well the project value objectives are met, Value Management Process (VMP) is considered to be any management effort or process that can proactively pursue one or more project objectives (i.e., security/safety, cost effectiveness, schedule optimization, and risk containment). The collection of 44 VMPs has been established based on a rigorous effort conducted by Construction Industry Institute (CII). Because varying circumstances on each project determine the level of suitability, it is crucial to identify which VMP should be implemented on a particular project. The current VMP selection process is primarily based on human intuition. The main objective of this paper is to provide a systematic method to facilitate the usage of VMPs on a particular project. This paper identified and quantified the selection principles (i.e., targeted value objectives, timing of initiation, project characteristics, and relative impact). The data collected from industry practitioners and VMP experts characterized each VMP in terms of the magnitude of benefit. An automated selection tool by Visual Basic Application (VBA) on MS Excel TM, was developed and proved its validity. As a pioneering study, this paper provides a comprehensive and structured knowledge on the subject of VMPs. From the industry's perspective, the automated selection tool, the premier of this study, contributes the facilitation of the VMP implementations in the construction industry thereby maximizing the potential benefits to a particular project.

• International Journal of Internet, Broadcasting and Communication
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• 제9권3호
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• pp.59-69
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• 2017

The best 'hub' to communicate with the citizen is using social media to marketing the business. However, there has several issued and the most common issue that face in critical is a capital issue. This issue is always highlight because most of automatic sentiment detection tool for Facebook or any other social media price is expensive and they lack of technical skills in order to control the tool. Therefore, in directly they have some obstacle to get faster product's feedback from customers. Thus, the personal online retailing need to struggle to stay in market because they need to compete with successful online company such as G-market. Sentiment analysis also known as opinion mining. Aim of this research is develop the tool that allow user to automatic detect the sentiment comment on social media account. RAD model methodology is chosen since its have several phases could produce more activities and output. Soppy tool will be develop using Microsoft Visual. In order to generate an accurate sentiment detection, the functionality testing will be use to find the effectiveness of this Soppy tool. This proposed automated Soppy Tool would be able to provide a platform to measure the impact of the customer sentiment over the postings on their social media site. The results and findings from the impact measurement could then be use as a recommendation in the developing or reviewing to enhance the capability and the profit to their personal online retailing company.