• 한국산업정보학회논문지
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• 제6권4호
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• pp.1-5
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• 2001

기존의 대부분 중소기업에서 사용하고 있는 공작기계의 절삭조건 선정방법은 공작기계, 절삭공구, 피삭재의 종류에 따라 절삭기사의 경험 또는 공구 메뉴얼의 권장값을 수작업으로 찾아서 이용하고 있는 실정이어서 절삭가공 비용의 증가가 따르게 되며, 특히 미숙련자가 현장에 배치될 경우는 이 문제는 더욱 일관성에서 멀어지게 된다. 이것은 결과적으로 가격 경쟁력을 약화시키는 요인이 되고 있다. 특히 CNC 공작기계가 주종을 이루는 경우는 NC 프로그래머가 공정계획에 따라 절삭작업공정을 프로그램 할 때 적정한 절삭변수들을 선정해주어야 하는데, 이 부분이 위에서 설명한 것처럼 수작업에 의해 탐색되어야 함으로 변수 선정의 부정확성은 물론 프로그래머에 따라 다르게 선택할 수 있게 되어 일관성이 결여된 선정을 초래하게 된다. 그러므로, 본 연구에서는 NC 프로그래머 또는 공작기계 조작자가 공구 및 피삭재에 대한 전문지식 없이도 적절한 절삭조건을 손쉽고 일관성 있게 찾을 수 있도록 MS 액세스 소프트웨어를 이용한 전자 카탈로그식 절삭변수 선정 시스템을 개발하였다.

• 방사성폐기물학회지
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• 제19권1호
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• pp.113-121
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• 2021

A safety assessment of radioactive waste repositories is a mandatory requirement process because there are possible radiological hazards owing to radionuclide migration from radioactive waste to the biosphere. For a reliable safety assessment, it is important to establish a parameter database that reflects the site-specific characteristics of the disposal facility and repository site. From this perspective, solubility, a major geochemical parameter, has been chosen as an important parameter for modeling the migration behavior of radionuclides. The solubilities were derived for Am, Ni, Tc, and U, which were major radionuclides in this study, and on-site groundwater data reflecting the operational conditions of the Gyeongju low and intermediate level radioactive waste (LILW) repository were applied to reflect the site-specific characteristics. The radiation dose was derived by applying the solubility and radionuclide inventory data to the RESRAD-OFFSITE code, and sensitivity analysis of the dose according to the solubility variation was performed. As a result, owing to the low amount of radionuclide inventory, the dose variation was insignificant. The derived solubility can be used as the main input data for the safety assessment of the Gyeongju LILW repository in the future.

• 한국콘텐츠학회논문지
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• 제10권4호
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• pp.84-90
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• 2010

데이터베이스 시스템의 응용분야가 데이터웨어하우징에서 전자상거래에 이르기까지 광범위해지면서 데이터베이스 시스템이 대형화되었다. 이로 인해 데이터베이스 시스템의 성능 향상을 위한 튜닝이 중요한 논점이 되었다. 데이터베이스 시스템의 튜닝은 워크로드 특성을 고려하여 수행할 필요가 있다. 그러나 복합적인 데이터베이스 환경에서 워크로드를 식별하기는 어려우므로 자동적인 식별 방법이 요구된다. 본 논문에서는 데이터베이스 워크로드를 자동적으로 식별하는 SVM 워크로드 분류기를 제안한다. TPC-C와 TPC-W 성능 평가에서 자원할당 파라미터 변경에 따른 워크로드 데이터를 수집하여 SVM을 통해 분류 한다. SVM의 커널별 커널 파라미터와 오류 허용 임계치 값인 C의 조정을 통하여 최적의 SVM 워크로드 분류기를 선택한다. 제안한 SVM 워크로드 분류기와 Decision Tree, Naive Bayes, Multilayer Perceptron, K-NN 분류기의 분류 성능을 비교한 결과, SVM 워크로드 분류기가 다른 기계 학습 분류기보다 9% 이상 향상된 분류 성능을 보였다.

• 한국공작기계학회논문집
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• 제11권1호
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• pp.45-51
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• 2002

To reduce the cost and increase reliability of die and mold products, automation of the finishing (polishing) process is essential. A major element of automation is a reliable database and a knowledge base for polishing status. This paper presents a polishing expert system which can determine optimal polishing sequences and conditions by using an empirical formula and an experimental database. The simplex method was used for the curve fittings of the experimental results. Also a graphical user interface, which visualizes the optimized results, was developed.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2001년도 춘계학술대회 논문집
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• pp.367-372
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• 2001

Feature restoration is that restore feature to 3D solid model using the feature information in STEP AP224. Feature is very important in CAPP, but feature information is defined very complicated in STEP AP224. This paper recommends the algorithm of extraction the feature information in physical STEP AP224file. This program import STEP AP224 file, parse the geometric and topological information, the tolerance data, and feature information line-by-line. After importation and parsing, store data into database. Feature restoration module analyze database including feature information, extract feature information, e.g. feature type, feature's parameter, etc., analyze the relationship and then restore feature to 3D solid model.

• 전자공학회논문지C
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• 제35C권7호
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• pp.20-29
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• 1998

As the packing density of ICs in recent submicron IC design increases, interconnects gain importance. Because interconnects directly affect on two major components of circuit performance, power dissipation and operating speed, circuit engineers are concerned with the optimal design of interconnects and the aid tool to design them. When circuit models of interconnects are given (including geometry and material information), the analysis process for the given structure is not an easy task, but conversely, it is much more difficult to design an interconnect structure with given circuit characteristics. This paper focuses on the latter process that has not been foucsed on much till now due to the complexity of the problem, and prsents a design aid tool(DATOIS) to synthesize interconnects. this tool stroes the circuit performance parameters for normalized interconnect geometries, and has two oeprational modes:analysis mode and synthesis mode. In the analysis mode, circuit performance parameters are obtained by searching the internal database for a given geometry and interpolates results if necessary . In thesynthesis mode, when a given circuit performance parameter satisfies a set of geometry condition in the database, those geometry structures are printed out.

• Journal of Computing Science and Engineering
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• 제8권2호
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• pp.65-77
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• 2014

To address the problem of multi-target retrieval (MTR) of remote sensing images, this study proposes a new object-level feature representation model. The model provides an enhanced application image representation that improves the efficiency of MTR. Generating the model in our scheme includes processes, such as object-oriented image segmentation, feature parameter calculation, and symbolic image database construction. The proposed model uses the spatial representation method of the extended nine-direction lower-triangular (9DLT) matrix to combine spatial relationships among objects, and organizes the image features according to MPEG-7 standards. A similarity metric method is proposed that improves the precision of similarity retrieval. Our method provides a trade-off strategy that supports flexible matching on the target features, or the spatial relationship between the query target and the image database. We implement this retrieval framework on a dataset of remote sensing images. Experimental results show that the proposed model achieves competitive and high-retrieval precision.

• 한국정밀공학회지
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• 제8권3호
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• pp.27-43
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• 1991

연소 가공은 고품질 고정도를 필요로 하는 경우 매우 유효한 가공방법이지만 그 공정이 많은 Parameter에 의해 구성되기 때문에 동일한 조건에서도 정량적인 평가가 어려우므로 작업현장 에서는 과학적 원리와 공학적 지식 보다는 숙련자의 경험과 기능에 의존하고 있는 실정이다. 본 연구에서는 이와 같은 국면에 대처한 문제 해결을 위해 Computer가 인간사고에 근접 할 수 있도록 Fuzzy 이론과 Default 이론을 도입하고 전문가의 이론적 지식과 숙련자의 감각적 지식을 적극 수용 하여 연소용 Expert system (최적 가공 조건의 설정 System과 Trouble shooting system)을 개발하였다. 또한 연소 가공 Data의 불확실한 애매성을 효과적으로 이용 할 수 있도록 Fuzzy 가능성이론에 의해 가공 Datad을 회귀 분석하여 실가공 Data base에 축적시켜 재활용토록 설계하었으며 개발된 본 System 의 실행 결과 그 활용성이 높음을 입증하였다.

• 한국언어정보학회지:언어와정보
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• 제9권1호
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• pp.69-92
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• 2005

Pattern recognition in cognitive agents is based on (i) the uninterpreted input data (e.g. parameter values) provided by the agent's hardware devices and (ii) and interpreted patterns (e.g. templates) provided by the agent's memory. Computationally, the task consists in finding the memory data corresponding best to the input data, for any given input. Once the best fitting memory data have been found, the input is recognized by applying to it the interpretation which happens to be stored with the memorized pattern. This paper presents a fast converging procedure which starts from a few initially recognized items and then analyzes the remainder of the input by systematically checking for items shown by memory to have been related to the initial items in previous encounters. In this way, known patterns are tried first, and only when they have been exhausted, an elementary exploration of the input is commenced. Efficiency is improved further by choosing the candidate to be tested next according to frequency.

• Journal of Information Processing Systems
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• 제15권5호
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• pp.1243-1257
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• 2019

As current algorithms unable to perform effective fusion processing of unknown complex radar signals lacking database, and the result is unstable, this paper presents a multi-level fusion processing algorithm for complex radar signals based on evidence theory as a solution to this problem. Specifically, the real-time database is initially established, accompanied by similarity model based on parameter type, and then similarity matrix is calculated. D-S evidence theory is subsequently applied to exercise fusion processing on the similarity of parameters concerning each signal and the trust value concerning target framework of each signal in order. The signals are ultimately combined and perfected. The results of simulation experiment reveal that the proposed algorithm can exert favorable effect on the fusion of unknown complex radar signals, with higher efficiency and less time, maintaining stable processing even of considerable samples.