• Journal of information and communication convergence engineering
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• 제21권3호
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• pp.244-251
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• 2023

Engineering or humanities data are stored in databases and are often used for search services. While the latest deep-learning technologies, such like BART and BERT, are utilized for data analysis, humanities data still rely on traditional databases. Representative analysis methods include n-gram and lexical statistical extraction. However, when using a database, performance limitation is often imposed on the result calculations. This study presents an experimental process using MariaDB on a PC, which is easily accessible in a laboratory, to analyze the impact of the database on data analysis performance. The findings highlight the fact that the database becomes a bottleneck when analyzing large-scale text data, particularly over hundreds of thousands of records. To address this issue, a method was proposed to provide real-time humanities data analysis web services by leveraging the open source database, with a focus on the Seungjeongwon-Ilgy, one of the largest datasets in the humanities fields.

• 한국융합학회논문지
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• 제10권8호
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• pp.245-253
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• 2019

한국의 해양 라이프가드들은 아직 장애인을 위한 구조 및 안전 관리를 수행할 준비가 되어있지 않다. 더욱이 대부분의 라이프가드 훈련들이 장애인 구조에 관한 정보 혹은 훈련이 제공되지 않고 있다. 본 연구의 목적은 문헌 검토를 실시하여 장애인을 위한 해양 라이프가드, 수상 안전관리와 관련하여 주요 이슈와 문제점을 찾아내는 데 있다. 데이터베이스(e.g., CINAHL Plus with Full Text, ERIC, MEDLINE, SPORTDiscus with Full Text)를 사용하여 연구논문과 해양안전과 관련한 국가/민간단체들의 문서들을 검색하였다. 사용된 검색어 혹은 키워드는 물 안전, 구조 요원, 익사 방지 등이 있었다. 주요 이슈를 파악하기 위해 수집된 문서내용을 분석(내용 분석법)을 실시하였다. 결과는 내용분석결과를 토대로 장애인 구조(rescue), 익사방지 및 수상안전과 관련된 중요한 다섯 가지 이슈들을 도출할 수 있었다.

• Structural Engineering and Mechanics
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• 제65권6호
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• pp.707-719
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• 2018

In this article, a new method is introduced to improve the local search capability of meta-heuristic algorithms using the projection of the path on the border of constraints. In a mathematical point of view, the Gradient Projection Method is applied through a new approach, while the imposed limitations are removed. Accordingly, the gradient vector is replaced with a new meta-heuristic based vector. Besides, the active constraint identification algorithm, and the projection method are changed into less complex approaches. As a result, if a constraint is violated by an agent, a new path will be suggested to correct the direction of the agent's movement. The presented procedure includes three main steps: (1) the identification of the active constraint, (2) the neighboring point determination, and (3) the new direction and step length. Moreover, this method can be applied to some meta-heuristic algorithms. It increases the chance of convergence in the final phase of the search process, especially when the number of the violations of the constraints increases. The method is applied jointly with the authors' newly developed meta-heuristic algorithm, entitled Star Graph. The capability of the resulted hybrid method is examined using the optimal design of truss and frame structures. Eventually, the comparison of the results with other meta-heuristics of the literature shows that the hybrid method is successful in the global as well as local search.

• 산업경영시스템학회지
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• 제25권2호
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• pp.92-101
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• 2002

The Job Shop Scheduling Problem(JSSP) is concerned with schedule of m different machines and n jobs where each job consists of a chain of operations, each of which needs to be processed during an uninterrupted time period of a given length on a given machine. The purpose of this paper is to develop the efficient heuristic method for solving the minimum makespan problem of the large scale job shop scheduling. The proposed heuristic method is based on a Tabu Search(TS) and on a Constraint Satisfaction Technique(CST). In this paper, ILOG libraries is used to embody the job shop model, and a CST is developed for this model to generate the increased solution. Then, TS is employed to overcome the increased search time of CST on the increased problem size md to refine the next-current solution. Also, this paper presents the new way of finding neighbourhood solution using TS. On applying TS, a new way of finding neighbourhood solution is presented. Computational experiments on well known sets of MT and LA problem instances show that, in several cases, our approach yields better results than the other heuristic procedures discussed In literature.

• International Journal of Computer Science & Network Security
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• 제21권8호
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• pp.87-96
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• 2021

The demand for e-learning through video lectures is rapidly increasing due to its diverse advantages over the traditional learning methods. This led to massive volumes of web-based lecture videos. Indexing and retrieval of a lecture video or a lecture video topic has thus proved to be an exceptionally challenging problem. Many techniques listed by literature were either visual or audio based, but not both. Since the effects of both the visual and audio components are equally important for the content-based indexing and retrieval, the current work is focused on both these components. A framework for automatic topic-based indexing and search depending on the innate content of the lecture videos is presented. The text from the slides is extracted using the proposed Merged Bounding Box (MBB) text detector. The audio component text extraction is done using Google Speech Recognition (GSR) technology. This hybrid approach generates the indexing keywords from the merged transcripts of both the video and audio component extractors. The search within the indexed documents is optimized based on the Naïve Bayes (NB) Classification and K-Means Clustering models. This optimized search retrieves results by searching only the relevant document cluster in the predefined categories and not the whole lecture video corpus. The work is carried out on the dataset generated by assigning categories to the lecture video transcripts gathered from e-learning portals. The performance of search is assessed based on the accuracy and time taken. Further the improved accuracy of the proposed indexing technique is compared with the accepted chain indexing technique.

• 약학회지
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• 제38권6호
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• pp.721-724
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• 1994

According to computer graphics/Grid search analysis, ${\beta}-keto$ carboxylic acid of nalidixic acid which has an antibacterial activity as DNA-gyrase inhibitor has been known to have got four different conformational energy values. In orders, the energy value of conformation A,B,C and D was -6.603, -4.114, -1.766 and 7.327 kcal/mol. The difference of energy value between conformation A and D was 13.9 kcal/mol. Usually conformation C was used in literature. However, it had a energy value of -1.766 kcal/mol as the result of the analysis which is about 5 kcal/mol higher than the most stable conformation A. Therefore, conformation A is expected to be more stable than conformation C.

• 한국경영과학회지
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• 제30권1호
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• pp.55-74
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• 2005

Bankruptcy prediction has drawn a lot of research interests in previous literature, and recent studies have shown that machine learning techniques achieved better performance than traditional statistical ones. This paper employs a relatively new machine learning technique, support vector machines (SVMs). to bankruptcy prediction problem in an attempt to suggest a new model with better explanatory power and stability. To serve this purpose, we use grid search technique using 5-fold cross-validation to find out the optimal values of the parameters of kernel function of SVM. In addition, to evaluate the prediction accuracy of SVM. we compare its performance with multiple discriminant analysis (MDA), logistic regression analysis (Logit), and three-layer fully connected back-propagation neural networks (BPNs). The experiment results show that SVM outperforms the other methods.

• 국제물리치료학회지
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• 제7권1호
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• pp.979-988
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• 2016

The purpose of this systematic review is to investigate the effects of tape application on improving body conditions. The search strategy for this review included a literature search by members of the International Kinematic Academy in 12 countries between January 2014 and February 2015 using PubMed, CINAHL, Cochrane, Google Scholar, websites and national journals. The search words included "Kinesiotape, Kinesio tape, kinesiotaping, elastic taping, taping, functional taping, myofascial taping, sensomotor taping". The review included all articles, even those published in different languages. These searches resulted in 821 publications. There are several effects of tape application were revealed such as improving blood circulation, lymphatic circulation, body range of motion, activation of mechanoreceptor and joint stability, and decreasing pain. No one negative about the positive effects of taping, however the more effort is required to find evidence of effects of tape application.

• 한국CDE학회논문집
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• 제19권3호
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• pp.245-252
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• 2014

Engineering applications of global optimization techniques are recently abundant in the literature and it may be caused by both new methodologies arising and faster computers coming out. Many of the optimization techniques are based on natural or biological phenomena. This study put focus on enhancing the performace of Cuckoo Search (CS) among them since it has the least number of parameters to tune. The proposed enhancement can be achieved by applying surrogate-based optimization at every cycle of CS, which fortifies the exploitation capability of the original method. The enhanced algorithm has been applied several engineering design problems with constraints. The proposed method shows comparable or superior performance to the original method.

• 디자인학연구
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• 제15권2호
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• pp.223-232
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• 2002

인터넷이 정보획득의 중요한 수단으로써 보편화되면서 인터넷상의 정보를 효율적으로 조직화하고 관리할 수 있는 시스템의 중요성이 점차 커지고 있다. 이에 따라 이용자의 정보검색효율성에 직접적인 영향을 기치는 디렉토리 분류체계에 대한 연구가 각 분야별로 활발히 진행되고 있다. 본 연구에서는 디자인 분야 디렉토리 분류체계에 의한 검색의 효율성을 높이기 위하여 문헌 분류체계에 대한 이론과 현재 서비스되어 지고 있는 디자인 포탈사이트들의 디렉토리 분류체계를 비교 분석하여 효율적인 분류체계 방안을 제안 하고자 한다.