• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.10
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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.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2014.11a
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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.

• Journal of Family Resource Management and Policy Review
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• v.13 no.1
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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.

• Journal of Distribution Research
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• v.1 no.2
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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.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2014.05a
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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.

• Journal of Sensor Science and Technology
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• v.29 no.6
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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.

• IE interfaces
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• v.5 no.2
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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.

• The Journal of Society for e-Business Studies
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• v.7 no.2
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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.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.2
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• pp.307-312
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• 2021

Artificial Intelligence has a long history and is used in various fields including image recognition and automatic translation. Therefore, when we first encounter artificial intelligence, many terms, concepts and technologies often have difficulty in setting or implementing research direction. This study summarized important concepts related to artificial intelligence and summarized the progress of the past 60 years to help researcher suffering from these difficulties. Through this, it is possible to establish the basis for the use of vast artificial intelligence technologies and establish the right direction for research.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.53 no.1
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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.