• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.1
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• pp.75-81
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• 2004

Signature based intrusion detection system (IDS), having stored rules for detecting intrusions at the library, judges whether new inputs are intrusion or not by matching them with the new inputs. However their policy has two restrictions generally. First, when they couldn`t make rules against new intrusions, false negative (FN) errors may are taken place. Second, when they made a lot of rules for maintaining diversification, the amount of resources grows larger proportional to their amount. In this paper, we propose the learning algorithm which can evolve the competent of anomaly detectors having the ability to detect anomalous attacks by genetic algorithm. The anomaly detectors are the population be composed of by following the negative selection procedure of the biological immune system. To show the effectiveness of proposed system, we apply the learning algorithm to the artificial network environment, which is a computer security system.

• Journal of the Korean Institute of Intelligent Systems
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• v.12 no.3
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• pp.231-238
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• 2002

As a modeling method where the merits of fuzzy inference system and evolutionary computation are put together, evolutionary fuzzy modeling performs global approximate optimization. The paper proposes fuzzy clustering as fuzzy rule generation process which is one of the most important steps in evolutionary fuzzy modeling. With application of fuzzy clustering into the experiment or simulation results, fuzzy rules which properly describe non-linear and complex design problem can be obtained. The efficiency of evolutionary fuzzy modeling can be improved utilizing the membership degrees of data to clusters from the results of fuzzy clustering. To ensure the validity of the proposed method, the real design problem of an automotive inner trim is applied and the global approximation is achieved. Evolutionary fuzzy modeling is performed for several cases which differ in the number of clusters and the criterion of rule selection and their results are compared to prove that the proposed method can provide proper fuzzy rules for a given system and reduce computation time while maintaining the errors of modeling as a satisfactory level.

• Progress in Medical Physics
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• v.23 no.1
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• pp.1-7
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• 2012

The purpose of this study was to develop the respiratory training system using individual characteristic guiding waveform to reduce the impact of respiratory motion that causes artifact in radiotherapy. In order to evaluate the improvement of respiratory regularity, 5 volunteers were included and their respiratory signals were acquired using the in-house developed belt-type sensor. Respiratory training system needs 10 free breathing cycles of each volunteer to make individual characteristic guiding waveform based on Fourier series and it guides patient's next breathing. For each volunteer, free breathing and guided breathing which uses individual characteristic guiding waveform were performed to acquire the respiratory cycles for 3 min. The root mean square error (RMSE) was computed to analyze improvement of respiratory regularity in period and displacement. It was found that respiratory regularity was improved by using respiratory training system. RMSE of guided breathing decreased up to 40% in displacement and 76% in period compared with free breathing. In conclusion, since the guiding waveform was easy to follow for the volunteers, the respiratory regularity was significantly improved by using in-house developed respiratory training system. So it would be helpful to improve accuracy and efficiency during 4D-RT, 4D-CT.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.2
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• pp.788-794
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• 2011

The purpose of this study was to investigate the correlation between regular mealtime, oral health knowledge and oral health to prevent dental impairment of college students. This research design is correlation study. Data of 903 were collected from June 1 to June 30, 2010. Data were analyzed using the SPSS PASW Statistics 18.0 Program. More than 50% of respondents were the irregular mealtime. Higher percentage of correct answer in the oral health knowledge showed periodontal disease prevention(82.6%). There were a statistical significant in grade, major, smoking, drinking, and wishing for dental care between general characteristics and regular mealtime respectively(p<.05). Between general characteristics and oral health knowledge were a statistical significant in gender, age, grade, smoking, and dental checkup respectively(p<.05). On the other hand, there was a statistical significant wishing for dental care between general characteristics and oral health(p<.001). Regular mealtime was negatively associated with oral health(p<.01). Education for oral health should include regular mealtime, prohibit of smoking and alcohol, right toothbrushing and so on.

• Journal of Digital Convergence
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• v.19 no.4
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• pp.9-17
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• 2021

This study test a situational action theory for explaining online download and upload digital piracy and examines the moderating effect of self-control and punishment. Then it tests the moderating effect of self-control in high morality and low moral rule environments and tests the moderating effect of perceived punishment in low morality and high moral rule environments. Using data from 317 college students in Seoul, In case of download, results show that self-control does not control the effects of high morality and low moral rule on it. In addition, it is found that perceived punishment does not control the effects of low morality and high moral rule on it. In case of upload, results show that self-control does not control but increase the effects of high morality and low moral rule on it, while perceived punishment controls the effects of high morality and low moral rule on it.

• Journal of the Korean Data and Information Science Society
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• v.22 no.5
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• pp.877-884
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• 2011

The decision tree is a representative algorithm of data mining and used in many domains such as retail target marketing, fraud detection, data reduction, variable screening, category merging, etc. This method is most useful in classification problems, and to make predictions for a target group after dividing it into several small groups. When we create a model of decision tree with a large number of input variables, we suffer difficulties in exploration and analysis of the model because of complex trees. And we can often find some association exist between input variables by external variables despite of no intrinsic association. In this paper, we study on the removal method of unnecessary input variables using multiple external association rules. And then we apply the removal method to actual data for its efficiencies.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.6C
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• pp.637-644
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• 2006

This paper presents performance and implementation comparisons of standard and fast DCT algorithms that are commonly used for subband filter bank in MPEG audio coders. The comparison is made according to the architectural difference of the implementation hardware. Fast DCT algorithms are known to have much less computational complexity than the standard method that involves computing a vector dot product of cosine coefficient. But, due to structural irregularity, fast DCT algorithms require extra cycles to generate the addresses for operands and to realign interim data. When algorithms are implemented using DSP processors that provide special operations such as single-cycle MAC (multiply-accumulate), zero-overhead nested loop, the standard algorithm is more advantageous than the fast algorithms. Also, in case of the finite-precision processing, the error performance of the standard method is far superior to that of the fast algorithms. In this paper, truncation errors and algorithmic suitability are analyzed and implementation results are provided to support the analysis.

• Journal of the Korean Society of Marine Environment & Safety
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• v.17 no.3
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• pp.235-243
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• 2011

Gyeongin Ara Waterway will be open on Oct., 2011, Which is the first inland artificial waterway constructed in Korea. There have been arguments about the environmental issues and economic effectiveness, however, it's now time to focus on the safety of navigation at the waterway to protect human life, property and environment. Therefore this paper aims at examining the establishment of the rule of safe navigation and management for the safe and effective management of the waterway and tries to draft the rules based on these examinations. The draft rule consists of 7 chapters, which are general rules, general rules on navigation, specific rules on navigation, general restrictions, emergency response, restrictions on navigation and penalties in consideration of the characteristic of Gyeongin Ara Waterway and regulations on navigation in major canals in the world.

• Corrugated packaging logistics
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• no.56 s.12
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• pp.69-70
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• 2004

산업자원부는 한국산업규격 인증(이하 ''KS인증'')제도의 신뢰성을 높이고, 민간부분의 단체표준 운용방법을 구체화하는 등 선진국형 표준제도의 기틀을 마련하기 위하여 산업표준화법시행규칙을 개정, 2004.5.28일자 공포하였음.

• Communications of the Korean Institute of Information Scientists and Engineers
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• v.31 no.7
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• pp.41-46
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• 2013