• 제목/요약/키워드: Classification of Difficulty

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Feature Selection Algorithms in Intrusion Detection System: A Survey

  • MAZA, Sofiane;TOUAHRIA, Mohamed
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제12권10호
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    • pp.5079-5099
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    • 2018
  • Regarding to the huge number of connections and the large flow of data on the Internet, Intrusion Detection System (IDS) has a difficulty to detect attacks. Moreover, irrelevant and redundant features influence on the quality of IDS precisely on the detection rate and processing cost. Feature Selection (FS) is the important technique, which gives the issue for enhancing the performance of detection. There are different works have been proposed, but a map for understanding and constructing a state of the FS in IDS is still need more investigation. In this paper, we introduce a survey of feature selection algorithms for intrusion detection system. We describe the well-known approaches that have been proposed in FS for IDS. Furthermore, we provide a classification with a comparative study between different contribution according to their techniques and results. We identify a new taxonomy for future trends and existing challenges.

BIM기반 건축적산 매뉴얼 개발을 위한 만족도 분석에 관한 연구 (Study on the Satisfaction Analysis for Development of Construction Estimating Manager based on 3D Data)

  • 최창훈;이준복;한충희;소지윤
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2014년도 추계 학술논문 발표대회
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    • pp.222-223
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    • 2014
  • According to the improvement of IT technology, an enhanced efficiency of management system in the construction industry is expected since a quotation system with BIM (Building Information Modeling) technique effectively estimates construction materials. For an enhanced efficiency of management system, related guidelines, standards, and manuals based on BIM are required, but the lack of this information causes difficulty to utilize in practice. In the paper, the satisfaction analysis was performed in order to promote the completeness of construction estimating manager that can be presented criteria and details of BIM-based quantity-takeoff, classification criteria.

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공공가정의 인적자원 관리방안 - 건강가정사 직무분석에의 적용 (Human Resource Management of Institutional Household - To the Application for Job Analysis of Healthy Families Center Worker)

  • 송혜림
    • 가족자원경영과 정책
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    • 제13권1호
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    • pp.23-39
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    • 2009
  • This study was an attempt to examine the basic scheme required for the job analysis of healthy family-center workers in the context of human resource management. For this purpose, factors including frequency, importance, priority, and difficulty were examined. The job classification and concrete job activities were extracted from the interviews of eight healthy family-center workers, and these factors were then analyzed from the recordings. From the results of this study, 28 job tasks were collected and the four job types were classified. The results can be used for job analysis and human resource development (HRD). This study suggests that various methods should be used for job analysis and that a large number of samples should be utilized for the further studies.

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산업용품 유통합리화를 위한 유통단지조성에 관한 연구

  • 설봉식;이경원;김웅진
    • 한국유통학회지:유통연구
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    • 제1권2호
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    • pp.199-220
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    • 1996
  • Our courtry's distribrtion business is on the luring point by opening the market to foreign countries from this year. It can be said that industrial goods are intermediated goods for the production of other goods or service So it requires quality and specialty than any other things. But the lack of understanding, small scale and classification by non-productive industry by government bring about difficulty to the distribution itself and other fields. Industrial goods have a long distribution channel. This distribution stracture can be reduce the channel by establishment of distribution complex. Establishment of distribution complex will strengthen the role of quality management and go far toward quality improvement. This study examine the distribution status of industrial goods, problems and study the extablishment of complex and expected affect.

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철근 콘크리트 공사의 직종별 가동률 비교·분석 (A Comparative Analysis of Operating Ratio for Reinforced Concrete Construction by Occupation classification)

  • 이강협;김민재;신원상;손창백
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2014년도 춘계 학술논문 발표대회
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    • pp.200-201
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    • 2014
  • The construction industry in recent years, due to the multi-species engineering specialty, interest and importance of human resource management is growing. But, not many studies on the operation ratio are being proceeded due to the difficulty of casting people on site and actual survey. Thus, this study proposes the work type-specific quantitative operation ratio through work type-specific operation ratio analysis of reinforced concrete construction which takes up an important part of construction work.

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X-선 영상과 합성곱 신경망을 이용한 육류 내의 바늘 검출 (Detection of Needles in Meat using X-Ray Images and Convolution Neural Networks)

  • 안진호;장원재;이원희;김정도
    • 센서학회지
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    • 제29권6호
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    • pp.427-432
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    • 2020
  • The most lethal foreign body in meat is a needle, and X-ray images are used to detect it. However, because the difference in thickness and fat content is severe depending on the type of meat and the part of the meat, the shade difference and contrast appear severe. This problem causes difficulty in automatic classification. In this paper, we propose a method for generating training patterns by efficient pre-processing and classifying needles in meat using a convolution neural network. Approximately 24000 training patterns and 4000 test patterns were used to verify the proposed method, and an accuracy of 99.8% was achieved.

TOPSIS 모형을 이용한 ABC분석(分析)의 개선(改善)에 관한 연구(硏究) (A Study on the Improvement of the ABC Analysis using TOPSIS)

  • 조성구;정상윤
    • 산업공학
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    • 제5권2호
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    • pp.19-27
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    • 1992
  • The ABC analysis is a widely used inventory control technique which consists of classifying inventory items into three categories according to annual dollar usage and concentrating managerial efforts on the high value items. But its major weakness is that the classification is somewhat arbitrary and is made in the light of single criterion, the annual usage. In this paper, a modified approach using TOPSIS is proposed where 1) the inventory items are ranked, rather than classified into three categories, in the order of relative importance and 2) the latter is determined by considering the multiple criteria such as annual usage, difficulty of procurement, lead time and shelf life. A case study was performed with the field data from a company producing electronical parts. The rank order produced by TOPSIS was judged quite reasonable by the company inventory control manager.

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시장지향적 접근법에 의한 E-비즈니스 커리큘럼 개발 (Development of I-business Curriculum Using Market-Oriented Approach)

  • 전종근;조재균;정석찬;박기남
    • 한국전자거래학회지
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    • 제7권2호
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    • pp.97-111
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    • 2002
  • E-business curriculum needs to be developed reflecting requirements of the industry which involve a close relation with a job performed in the field, and a professional knowledge and an expert skill. In this paper, we present a method based on a market-oriented approach for developing an I-business curriculum. For the purpose, we analyze the opinion data resulting from the surveyed opinions of respondents working for I-business companies and evaluate the importance of each course being involved in the curriculum with respect to the job classification (e.g., Web planner, Web master, Web programmer, Web marketer, Web designer, Web PD), and then, complete a flow diagram considering precedence and relative difficulty among the selected courses. The E-business curriculum developed by the proposed method is useful to provide guidelines for determining courses required toward a desired job and for making a partial amendment of the curriculum.

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인공지능의 역사, 분류 그리고 발전 방향에 관한 연구 (A Study on the History, Classification and Development Direction of Artificial Intelligence)

  • 조민호
    • 한국전자통신학회논문지
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    • 제16권2호
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    • pp.307-312
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    • 2021
  • 인공지능은 오랜 역사가 있으며, 이미지 인식이나 자동번역 분야를 포함한 여러 분야에서 활용되고 있다. 그래서 처음 인공지능을 접하는 경우에 많은 용어와 개념, 기술 때문에 연구의 방향 설정이나 수행에 어려움을 겪는 경우가 많다. 이번 연구는 이러한 어려움을 겪는 연구자들에게 도움이 될 수 있도록 인공지능에 관련된 중요 개념을 정리하고, 지난 60년의 발전 과정을 요약한다. 이를 통하여 방대한 인공지능 기술 활용의 기초를 확립하고 올바른 연구의 방향성을 수립할 수 있다.

조명 변화에 강인한 로봇 축구 시스템의 색상 분류기 (Robust Color Classifier for Robot Soccer System under Illumination Variations)

  • 이성훈;박진현;전향식;최영규
    • 대한전기학회논문지:시스템및제어부문D
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    • 제53권1호
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    • pp.32-39
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    • 2004
  • The color-based vision systems have been used to recognize our team robots, the opponent team robots and a ball in the robot soccer system. The color-based vision systems have the difficulty in that they are very sensitive to color variations brought by brightness changes. In this paper, a neural network trained with data obtained from various illumination conditions is used to classify colors in the modified YUV color space for the robot soccer vision system. For this, a new method to measure brightness is proposed by use of a color card. After the neural network is constructed, a look-up-table is generated to replace the neural network in order to reduce the computation time. Experimental results show that the proposed color classification method is robust under illumination variations.