• Title/Summary/Keyword: Search frequency

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An Al Approach with Tabu Search to solve Multi-level Knapsack Problems:Using Cycle Detection, Short-term and Long-term Memory

  • Ko, Il-Sang
    • Journal of the Korean Operations Research and Management Science Society
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    • v.22 no.3
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    • pp.37-58
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    • 1997
  • An AI approach with tabu search is designed to solve multi-level knapsack problems. The approach performs intelligent actions with memories of historic data and learning effect. These action are developed ont only by observing the attributes of the optimal solution, the solution space, and its corresponding path to the optimal, but also by applying human intelligence, experience, and intuition with respect to the search strategies. The approach intensifies, or diversifies the search process appropriately in time and space. In order to create a good neighborhood structure, this approach uses two powerful choice rules that emphasize the impact of candidate variables on the current solution with respect to their profit contribution. "Pseudo moves", similar to "aspirations", support these choice rules during the evaluation process. For the purpose of visiting as many relevant points as possible, strategic oscillation between feasible and infeasible solutions around the boundary is applied. To avoid redundant moves, short-term (tabu-lists), intemediate-term (cycle-detection), and long-term (recording frequency and significant solutions for diversfication) memories are used. Test results show that among the 45 generated problems (these problems pose significant or insurmountable challenges to exact methods) the approach produces the optimal solutions in 39 cases.lutions in 39 cases.

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Design of Fuzzy Controller for Firing Angle of TCSC Using Tabu Search (Tabu Search를 이용한 TCSC의 점호각 제어용 퍼지 제어기의 설계)

  • Kim, Woo-Geun;Hwang, Gi-Hyeon;Mun, Gyeong-Jun;Kim, Hyeong-Su;Park, Jun-Ho
    • Proceedings of the KIEE Conference
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    • 2000.07a
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    • pp.37-39
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    • 2000
  • This paper describes the application of Fuzzy Logic Controller (FLC) to Thyristor Controlled Series Capacitor (TCSC) which can have significant impact on Power system dynamics. The function of the FLC is to control the firing angle of the TCSC. We tuned the scaling factors of the FLC using Tabu Search. The proposed FLC is used for damping the low frequency oscillations caused by disturbances such as the sudden changes of small of large loads or the outages in the generators or transmission lines. To evaluate usefulness of the proposed FLC. we performed the computer simulation for single-machine infinite system. The response of FLC is compared with that of PD controller optimized using Tabu Search. Simulation results that the FLC shows the better control performance than PD controller.

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Fast, Flexible Text Search Using Genomic Short-Read Mapping Model

  • Kim, Sung-Hwan;Cho, Hwan-Gue
    • ETRI Journal
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    • v.38 no.3
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    • pp.518-528
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    • 2016
  • The searching of an extensive document database for documents that are locally similar to a given query document, and the subsequent detection of similar regions between such documents, is considered as an essential task in the fields of information retrieval and data management. In this paper, we present a framework for such a task. The proposed framework employs the method of short-read mapping, which is used in bioinformatics to reveal similarities between genomic sequences. In this paper, documents are considered biological objects; consequently, edit operations between locally similar documents are viewed as an evolutionary process. Accordingly, we are able to apply the method of evolution tracing in the detection of similar regions between documents. In addition, we propose heuristic methods to address issues associated with the different stages of the proposed framework, for example, a frequency-based fragment ordering method and a locality-aware interval aggregation method. Extensive experiments covering various scenarios related to the search of an extensive document database for documents that are locally similar to a given query document are considered, and the results indicate that the proposed framework outperforms existing methods.

Analysis of Multichannel Choice Behavior based on Apparel items (의류제품 특성에 따른 멀티채널 선택행동 분석)

  • Kim, Jie-yurn
    • Fashion & Textile Research Journal
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    • v.17 no.6
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    • pp.919-931
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    • 2015
  • Recently, with the rapid development of the Internet, the importance of the multi-channel retailing strategy including online channel has been emphasized in fashion business. The purpose of this research is to give some practical ideas of multichannel strategy for fashion retailers through comparison for multichannel choice behaviors between Korean and US consumers. The online survey was conducted on the 400 fashion customers aged between 20s and 50s living in Korea and America. The survey consisted of measurement items about channel choice behaviors for purchase or information search, risk perception on channel, repurchase intention at same channel, perception on experience or search goods among apparel items. The data were analyzed by frequency, regression, t-test using SPSS 18.0 program. The ratio of utilization multichannel was higher in fashion goods area in Korea fashion business. Also, most of Top-ranked fashion or accessory retailers in America were taking advantage of multichannel strategy. There were some differences between Korea and US consumers in channel choice behaviors for purchase or information search, risk perception for retail channel, repurchase intention at same channel, perception on experience or search goods among apparel items, etc. Some suggestion for the future research for multichannel strategy in fashion retailing was given.

An Evaluation of Twitter Ranking Using the Retweet Information (재전송 정보를 활용한 트위터 랭킹의 정확도 평가)

  • Chang, Jae-Young
    • The Journal of Society for e-Business Studies
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    • v.17 no.2
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    • pp.73-85
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    • 2012
  • Recently, as Social Network Services(SNS), such as Twitter, Facebook, are becoming more popular, much research has been doing actively. However, since SNS has been launched recently, related researches are also infant level. Especially, search engines serviced in web potals simply show the postings in order of upload time. Searching the postings in Twitter should be different from web search, which is based on traditional TF-IDF. In this paper, we present the new method of searching and ranking the interesting postings in Twitter. In proposed method, we utilize the frequency of retweets as a major factor for estimating the quality of postings. It can be an important criteria since users tend to retweet the valuable postings. Experimental results show that proposed method can be applied successfully in Twitter search system.

A Study of Web based Screening for Visual Stress Syndrome (웹 기반의 시각적 스트레스 증후군 선별에 관한 연구)

  • Jang, Young-Gun
    • Journal of the Ergonomics Society of Korea
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    • v.28 no.4
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    • pp.91-99
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    • 2009
  • A visual stress may provoke migraine, cephalalgia, intervene a long term reading and learning capability and reduce the productivity of a laborer who uses computer for a good while. In this study, a web based screening tool for visual stress was developed, it applied to 72 visually normal young persons in parallel with traditional questionnaire about symptoms of visual stress. To estimate visual stress, It is proposed to measure difference of visual search time of Han Gul characters as targets between visual stressful pattern and non-visual stressful pattern as global background of characters. As a result of test, 5 subjects were screened whose mean visual search time in the stressful pattern with 6 CPD spatial frequency increase significantly more than in none stressful pattern(t-test, one-tailed, p=$1.0407\times10^{-11}$). 2 of them were diagnosed as mild visual stress syndrome in the clinic. None had visual distortion and 50% of subjects had visual discomfort in results of the questionnaire. Correlation between visual search time increase rate and normalized number of visual discomfort may be slight(C. coefficient=0.1355). This study may contribute as a basic research for screening person with migraine, visual reading disabilities and VDT syndrome. It is required to apply the test to visual reading disabilities, migraine with visual distortion and/or visual discomfort as well as normal person for higher reliability of the screening tool.

Application of Tabu Search in Design of Fuzzy Controller for Firing Angle of TCSC Improving Transient Stability (과도 안정도 향상을 위한 TCSC의 점호각 제어용 퍼지제어기의 설계에 Tabu 탐색법의 적용)

  • Kim, U-Geun;Hwang, Gi-Hyeon;Kim, Hyeong-Su;Park, Jun-Ho;Park, Jung-Geun
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.50 no.12
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    • pp.561-567
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    • 2001
  • This paper describes the application of Fuzzy Logic Controller (FLC) to Thyristor Controlled Series Capacitor (TCSC) which can have significant impact on power system dynamics. The function of the FLC is to control the firing angle of the TCSC. We tuned the scaling factors of the FLC using Tabu Search. The proposed FLC is used for damping the low frequency oscillations caused by disturbances such as the sudden changes of small or large loads or the outages in the generators or transmission lines. To evaluate usefulness of the proposed FLC, we performed the computer simulation fur single-machine infinite system. The response of FLC is compared with that of PD controller optimized using Tabu Search. Simulation results that the FLC shows better control performance than PD controller.

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A Popularity-driven Cache Management and its Performance Evaluation in Meta-search Engines (메타 검색 엔진을 위한 인기도 기반 캐쉬 관리 및 성능 평가)

  • Hong, Jin-Seon;Lee, Sang-Ho
    • Journal of KIISE:Databases
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    • v.29 no.2
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    • pp.148-157
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    • 2002
  • Caching in meta-search engines can improve the response time of users' request. We describe the cache scheme in our meta-search engine in terms of its architecture and operational flow. In particular, we propose a popularity-driven cache algorithm that utilizes popularities of queries to determine cached data to be purged. The popularity is a value that represents the normalized occurrence frequency of user queries. This paper presents how to collect popular queries and how to calculate query popularities. An empirical performance evaluation of the popularity-driven caching with the traditional schemes (i.e., least recently used (LRU) and least frequently used (LFU)) has been carried out on a collection of real data. In almost all cases, the proposed replacement policy outperforms LRU and LFU.

Validation of OpenDrift-Based Drifter Trajectory Prediction Technique for Maritime Search and Rescue

  • Ji-Chang Kim;Dae, Hun, Yu;Jung-eun Sim;Young-Tae Son;Ki-Young Bang;Sungwon Shin
    • Journal of Ocean Engineering and Technology
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    • v.37 no.4
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    • pp.145-157
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    • 2023
  • Due to a recent increase in maritime activities in South Korea, the frequency of maritime distress is escalating and poses a significant threat to lives and property. The aim of this study was to validate a drift trajectory prediction technique to help mitigate the damages caused by maritime distress incidents. In this study, OpenDrift was verified using satellite drifter data from the Korea Hydrographic and Oceanographic Agency. OpenDrift is a Monte-Carlo-based Lagrangian trajectory modeling framework that allows for considering leeway, an important factor in predicting the movement of floating marine objects. The simulation results showed no significant differences in the performance of drift trajectory prediction when considering leeway using four evaluation methods (normalized cumulative Lagrangian separation, root mean squared error, mean absolute error, and Euclidean distance). However, leeway improved the performance in an analysis of location prediction conformance for maritime search and rescue operations. Therefore, the findings of this study suggest that it is important to consider leeway in drift trajectory prediction for effective maritime search and rescue operations. The results could help with future research on drift trajectory prediction of various floating objects, including marine debris, satellite drifters, and sea ice.

Design of an Efficient Keyword-based Retrieval System Using Concept lattice (개념 망을 이용한 키워드 기반의 효율적인 정보 검색 시스템 설계)

  • Ma, Jin;Jeon, In ho;Choi, Young keun
    • Journal of Internet Computing and Services
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    • v.16 no.3
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    • pp.43-57
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    • 2015
  • In this thesis was conducted to propose a method for efficient information retrieval using concept lattices. Since this thesis designed a new system based on ordinary concept lattices, it has the same approach method as ontology, but this thesis proposes new concept lattices to be used by establishing collaborative relations between objects and concepts that users are likely to search information more efficiently. The system suggested by this thesis can be summarized as below. Firstly, this system leads to a collaborative search by using Three kinds of concepts, such as keyword concept lattices, which focus on input key words, expert concept lattices recommended by experts and theme concept lattices, and based on these 3 concept lattices, it will help users search information they want more efficiently. Besides, as the expert concept and the keyword concept become combined, further providing users with the frequency of keyword and the frequency of category, this system can function to recommend key words related to search words entered by users. Another function of this system is to inform users of key words and categories used in users' interested themes by using the theme concept lattices. Secondly, when there is not keyword entered by a user, it is possible for users to achieve the goal of search through the secondary search when this system provides them with key words related to the input keyword. Thirdly, since most of the information is managed while being dispersed, such dispersed and managed information not only has different expression methods but changes as time goes. Accordingly, By using XMDR for efficient data access and integration of distributed information, this thesis proposes a new technique and retrieval system to integrate dispersed data.