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      • Anomaly Detection Using LibSVM Training Tools

        Jung-Chun Liu,Chu-Hsing Lin,Jui-Ling Yu,Wei-Shen Lai,Chia-Han Ho 보안공학연구지원센터 2008 International Journal of Security and Its Applicat Vol.2 No.4

        Intrusion detection is the means to identify the intrusive behaviors and provide useful information to intruded systems to respond fast and to avoid or reduce damages. In recent years, learning machine technology is often used as a detection method in anomaly detection. In this research, we use support vector machine as a learning method for anomaly detection, and use LibSVM as the support vector machine tool. By using this tool, we get rid of numerous and complex operations and do not have to use external tools for finding parameters as needed by using other algorithms such as the genetic algorithm. Experimental results show that high average detection rates and low average false positive rates in anomaly detection are achieved by our proposed approach.

      • KCI등재후보

        Numerical Evaluation on Warping Constants of General cold-Formed Steel Open Sections

        Dung M. Lue,Jui-Ling Liu,Ching-Hau Lin 한국강구조학회 2007 International Journal of Steel Structures Vol.7 No.4

        The calculation of warping constant (Cw) for an open thin-walled open section is a tedious and dificult task and thuspresenting an obstacle to routine design. Although Cw formulas and values for selective cold-formed steel sections are availablein the AISI design manuals, most practicing engineers have limited idea of evaluating the warping constants for sections notlisted in the AISI design manuals. This paper proposes a detailed step-by-step numerical procedure for evaluating the warpingconstant of a general open thin-waled section. Comparison shows virtualy no diference between the calculated values andthose listed in the AISI design manuals. The proposed procedure is a reliable and useful tool for computing the warping

      • Preliminary Study of the Liouduei Area Hakka Industry and Cultural Tourism Using Analytic Hierarchy Process Method

        Chuang Lan-Ying,Liu Hui-Ling,Chen Jui-Ling,Kuo Shiunn-Der 세계문화관광학회 2011 Conference Proceedings Vol.12 No.-

        Taiwan is an island of diverse ethnicities and each ethnic group has maintained its unique traditional industry and culture. The saying "Tung Flower in the North and Liouduei in the South" is commonly used to describe the Hakka communities in Taiwan. "Liouduei" is not an administrative district that could be found on the map. The term refers to the Kaohsiung and Pingtung Hakka settlement in Southern Taiwan. In recent years the Council for Hakka Affairs of the Executive Yuan and the local government has made significant efforts to cultivate and support local culture and industry development. They actively marketed the Hakka cultural industry internationally and connected the local Hakka industry with cultural tourism hoping to raise public awareness of Hakka culture and establish a sustainable Hakka industry in a long run. In this study key evaluation criteria and literature were collected and reviewed. And there were 5 evaluation component fields 16 evaluation criterion items drawn-up. The Analytic Hierarchy Process (AHP) method was applied to conduct the criteria evaluation analysis of the Liouduei area Hakka Industry and cultural tourism with the target groups including the municipal Hakka administrative agencies social organizations Hakka Industry Business and experts and scholars. The findings were summarized into a cohesive conclusion and the results of the analysis were provided for government agencies as future references for their work on the preservation of Hakka cultural tourism and promotion of Hakka industry. Overall the study suggested that the interviewees ranked "Product Quality Assurance"(0.303) as the most critical factor and ranked the "The Maintenance of Industry and Cultural "(0.299) as the second factor and "Government Subsidies and Promotion"(0.232) as the third factor and followed by "Economic Efficiency Improvement"(0.085) ranked as the fourth factor. Finally it ranked the "Hakka Industry Business Alliance" (0.081) as the fifth factor.

      • Genetic Algorithm for Shortest Driving Time in Intelligent Transportation Systems

        Chu-Hsing Lin,Jung-Chun Liu,Chia-Han Ho,Jui-Ling Yu,Wei-Shen Lai 보안공학연구지원센터 2009 International Journal of Hybrid Information Techno Vol.2 No.1

        The route guidance system, which provides driving advice based on traffic information about an origin and a destination, has become very popular along with the advancement of handheld devices and the global position system. Since the accuracy and efficiency of route guidance depend on the accuracy of the traffic conditions, the route guidance system needs to include more variables in calculation, such as real time traffic flows and allowable vehicle speeds. As variables considered by the route guidance system increase, the cost to compute multiplies. Since handheld devices have limited resources, it is not feasible to use them to compute the exact optimal solutions in real time systems by some well-known algorithm, such as the Dijkstra’s algorithm, which is usually used to find the shortest path with a map of reasonable numbers of vertices. To solve this problem, we propose to use the genetic algorithm to alleviate the rising computational cost. We use the genetic algorithm to find the shortest time in driving with diverse scenarios of real traffic conditions and varying vehicle speeds. The effectiveness of the genetic algorithm is clearly demonstrated when applied on a real map of modern city with very large vertex numbers.

      • KCI등재후보

        The Compressive Strength of Slender C-shaped Cold-formed Steel Members with Web Openings

        Dung M. Lue,Ping-Tsung Chung,Jui-Ling Liu,Chi-Ling Pan 한국강구조학회 2009 International Journal of Steel Structures Vol.9 No.3

        This study investigated the compressive strength of slender C-shaped cold-formed steel members with web openings. The effective sectional area concept was adopted to conduct the analysis of cold-formed compressive members. The load-carrying capacity of compression member was calculated based on the sectional effective width as described in the AISI Standard. The study tested a total of 21 channel specimens including C-shaped cross-sections with and without web openings. Comparisons were made between the test results and the predictions based on both the AISI Standard and the ANSYS analysis. The results indicated that all the observed failure modes were of the flexural-torsional buckling classification. It was found that the reduction in the compression strength of the specimens with web openings seems to be negligible. In addition, the predictions based on the AISI Standard were conservative as compared with the test results of the specimens with web openings. Moreover, it appeared that the ANSYS finite element analysis was able to predict the ultimate loads and failure modes of the specimens. In the absence of test data and for the purpose of preliminary design, the ANSYS appears to provide quite an encouraging prediction capability. This study investigated the compressive strength of slender C-shaped cold-formed steel members with web openings. The effective sectional area concept was adopted to conduct the analysis of cold-formed compressive members. The load-carrying capacity of compression member was calculated based on the sectional effective width as described in the AISI Standard. The study tested a total of 21 channel specimens including C-shaped cross-sections with and without web openings. Comparisons were made between the test results and the predictions based on both the AISI Standard and the ANSYS analysis. The results indicated that all the observed failure modes were of the flexural-torsional buckling classification. It was found that the reduction in the compression strength of the specimens with web openings seems to be negligible. In addition, the predictions based on the AISI Standard were conservative as compared with the test results of the specimens with web openings. Moreover, it appeared that the ANSYS finite element analysis was able to predict the ultimate loads and failure modes of the specimens. In the absence of test data and for the purpose of preliminary design, the ANSYS appears to provide quite an encouraging prediction capability.

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