• Title/Summary/Keyword: information search efficiency

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Consumer Information Competency of Contemporary Consumers: Effects on Information Search Efficiency and Effectiveness for Purchase of Electronic Goods (현대 소비자의 소비자정보역량: 전자제품 구매 시 정보탐색 효율성 및 효과성에 미치는 영향)

  • Hwang, Hye Sun;Kim, Kee-Ok
    • Journal of the Korean Home Economics Association
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    • v.50 no.6
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    • pp.99-117
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    • 2012
  • This study aimed to measure consumer information competency, which indicates consumers' general ability to search and utilize information. The model of this study was constructed in order to identify how consumer information competency influences the efficiency and the effectiveness of external information search. The model was verified with related prior knowledge as a moderator variable in order to understand holistic consumer information search activity. The result of the study is as follows. First, the concept of consumer information competency was constructed with four sub-abilities: define, search, extract, and synthesis & use. The ability of define was the highest, as opposed to the ability of extract, which was the lowest. Second, consumer information competency was lower for women as well as for low family income. The sub-abilities of search and synthesis & use were lower for aging consumers. Third, consumer information competency has positive effects on information search efficiency and effectiveness. Moreover, the efficiency influences the effectiveness positively. Fourth, prior knowledge moderates the effect of consumer information competency to the efficiency. Only for consumers with high knowledge the efficiency has the effect of mediating between consumer information competency and the effectiveness.

Fuzzy Keyword Search Method over Ciphertexts supporting Access Control

  • Mei, Zhuolin;Wu, Bin;Tian, Shengli;Ruan, Yonghui;Cui, Zongmin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.11
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    • pp.5671-5693
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    • 2017
  • With the rapid development of cloud computing, more and more data owners are motivated to outsource their data to cloud for various benefits. Due to serious privacy concerns, sensitive data should be encrypted before being outsourced to the cloud. However, this results that effective data utilization becomes a very challenging task, such as keyword search over ciphertexts. Although many searchable encryption methods have been proposed, they only support exact keyword search. Thus, misspelled keywords in the query will result in wrong or no matching. Very recently, a few methods extends the search capability to fuzzy keyword search. Some of them may result in inaccurate search results. The other methods need very large indexes which inevitably lead to low search efficiency. Additionally, the above fuzzy keyword search methods do not support access control. In our paper, we propose a searchable encryption method which achieves fuzzy search and access control through algorithm design and Ciphertext-Policy Attribute-based Encryption (CP-ABE). In our method, the index is small and the search results are accurate. We present word pattern which can be used to balance the search efficiency and privacy. Finally, we conduct extensive experiments and analyze the security of the proposed method.

The effect of menu structure for electronic information guide on information search (Electronic Information Guide 메뉴 구조가 정보검색에 미치는 영향)

  • O, Chang-Yeong;Jeong, Chan-Seop
    • Journal of the Ergonomics Society of Korea
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    • v.18 no.1
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    • pp.41-53
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    • 1999
  • The effect of menu width and depth on the efficiency of information search and menu preference was investigated to identify an optimal menu structure for EIG which reflects the characteristics of human information processing. Information search time increased stepwisely as the menu width exceeded 6 items and linearly as the level of menu depth increased. The linear relationship between the error rate and the number of depth levels seems to be caused by the increase in the items to be remembered. When a menu structure was constructed by combining different menu depths and widths, it was observed that making the menu width wider rather than the depth deeper allows better information search. The menu structure rated as the most preferable and the easiest to user was that of pyramidal form. Such a result seems to come from its structural similarity to general categories which people get used to and implies that one should consider user preference as well as efficiency of search when he/she designs an EIG menu.

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A Study on the Classification Scheme of the Internet Search Engine (인터넷 탐색엔진에 관한 연구)

  • 김영보
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.8 no.1
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    • pp.197-227
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    • 1997
  • The main purpose of this study is ① to settle and to analyze the classification of the Internet Search Engine comparitively, and ② to build the compatible model of Internet Search Engine classification in order to seek information on the Internet resources. specially in the branch of the Computers and Internet areas. For this study, four Internet Search Engine (Excite, 1-Detect, Simmany, Yahoo Korea!), Inspec Classification and two distionaries were used. The major findings and result of analysis are summarized as follows : 1. The basis of the classification is the scope of topics, the system logic, the clearness, the efficiency. 2. The scope of topics is analyzed comparitively by the number of items from each Search Engine. In the result, Excite is the most superior of the four 3. The system logic is analyzed comparitively by the casuality balance and consistency of the items from each Search Engine. In the result, Excite is the most superior of the four 4. The clearness is analyzed comparitively by the clearness and accuracy of items, the recognition of the searchers. In the result, Excite is the most superior of the four. 5 The efficiency is analyzed comparitively by the exactness of indexing and decreasing the effort of the searchers. In the result, Yahoo Korea! is the most superior of the four. 6 The compatible model of Internet Search Engine classification is estavlished to uplift the scope of topics, the system logic, the clearness, and the efficiency. The model divides the area mainly based upon the topics and resources using‘bookmark’and‘shadow’concept.

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Development and Evaluation of Authority Data based Academic Paper Retrieval System (전거데이터 기반 학술논문 검색시스템의 구축 및 평가에 관한 연구)

  • Lee, Seok-Hyoung;Kwak, Seung-Jin
    • Journal of the Korean Society for Library and Information Science
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    • v.46 no.2
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    • pp.133-156
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    • 2012
  • This study aims to develop and evaluate the authority data-based academic retrieval system that may provide search tools and additional information for search of academic papers with users. To evaluate the usability of authority data-based academic paper search system, this work studied 60 subjects who had experienced the academic paper service to measure their satisfaction on both search efficiency and system usability and additionally analyzed whether the difference between search efficiency and system availability is significant in the experimental search system among user groups. As a result, the authority data-based academic paper search system was analyzed to show a higher search efficiency and user satisfaction than the ordinary system.

A Research on User′s Query Processing in Search Engine for Ocean using the Association Rules (연관 규칙 탐사 기법을 이용한 해양 전문 검색 엔진에서의 질의어 처리에 관한 연구)

  • 하창승;윤병수;류길수
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2002.11a
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    • pp.266-272
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    • 2002
  • Recently various of information suppliers provide information via WWW so the necessary of search engine grows larger. However the efficiency of most search engines is low comparatively because of using simple pattern match technique between user's query and web document. And a manifest contents of query for special expert field so much worse A specialized search engine returns the specialized information depend on each user's search goal. It is trend to develop specialized search engines in many countries. For example, in America, there are a site that searches only the recently updated headline news and the federal law and the government and and so on. However, most such engines don't satisfy the user's needs. This paper proposes the specialized search engine for ocean information that uses user's query related with ocean and search engine uses the association rules in web data mining. So specialized search engine for ocean provides more information related to ocean because of raising recall about user's query

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A Synchronization Scheme Based on Moving Average for Robust Audio Watermarking

  • Zhang, Jinquan;Han, Bin
    • Journal of Information Processing Systems
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    • v.15 no.2
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    • pp.271-287
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    • 2019
  • The synchronization scheme based on moving average is robust and suitable for the same rule to be adopted in embedding watermark and synchronization code, but the imperceptibility and search efficiency is seldom reported. The study aims to improve the original scheme for robust audio watermarking. Firstly, the survival of the algorithm from desynchronization attacks is improved. Secondly, the scheme is improved in inaudibility. Objective difference grade (ODG) of the marked audio is significantly changed. Thirdly, the imperceptibility of the scheme is analyzed and the derived result is close to experimental result. Fourthly, the selection of parameters is optimized based on experimental data. Fifthly, the search efficiency of the scheme is compared with those of other synchronization code schemes. The experimental results show that the proposed watermarking scheme allows the high audio quality and is robust to common attacks such as additive white Gaussian noise, requantization, resampling, low-pass filtering, random cropping, MP3 compression, jitter attack, and time scale modification. Moreover, the algorithm has the high search efficiency and low false alarm rate.

Personalized and Social Search by Finding User Similarity based on Social Networks (소셜 네트워크 기반 사용자 유사성 발견을 통한 개인화 및 소셜 검색)

  • Park, Gun-Woo;Oh, Jung-Woon;Lee, Sang-Hoon
    • The KIPS Transactions:PartD
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    • v.16D no.5
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    • pp.683-690
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    • 2009
  • Social Networks which is composed of network with an individual in the center in a web support mutual-understanding of information by searching user profile and forming new link. Therefore, if we apply the Social Network which consists of web users who have similar immanent information to web search, we can improve efficiency of web search and satisfaction of web user about search results. In this paper, first, we make a Social Network using web users linked directly or indirectly. Next, we calculate Similarity among web users using their immanent information according to topics, and then reconstruct Social Network based on varying Similarity according to topics. Last, we compare Similarity with Search Pattern. As a result of this test, we can confirm a result that among users who have high relationship index, that is, who have strong link strength according to personal attributes have similar search pattern. If such fact is applied to search algorithm, it can be possible to improve search efficiency and reliability in personalized and social search.

A Study of Word Sense Ambiguation which Affects Efficiency of the Internet-based Information Retrieval (어휘의미 중의성이 인터넷 정보검색 효율에 미치는 영향에 관한 연구)

  • 황상규;오경묵;변영태
    • Journal of the Korean Society for information Management
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    • v.16 no.3
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    • pp.65-82
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    • 1999
  • Internet users are often frustrated when they try to find“right”piece of information quickly. The reason is that the discovery of available and quality based-resources becomes more difficult to end users while the Internet continues to expand rapidly. Not only incorrect keywords and query expression but word sense ambiguation are the cause of dropping-off in efficiency on Internet search. In this paper, studies were conducted to analyze dropping off in efficiency fir Internet search and discussed reducing user s frustration of the Internet and improving their search strategies.

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Efficiency Optimization with Sliding Mode Observer for Induction Motor (슬라이딩 모드 관측기를 이용한 유도전동기의 효율 최적화)

  • Lee, Sun-Young;Park, Ki-Kwang;Yang, Hai-Won
    • Proceedings of the KIEE Conference
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    • 2009.04a
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    • pp.74-76
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    • 2009
  • In this paper, search method and sliding mode observer are developed for efficiency optimization of induction motor. The proposed control scheme consists of efficiency controller and adaptive backstepping controller. A search controller for which information of input of fuzzy controller is included in efficiency controller that uses a direct vector controlled induction motor. The search controller is based on the "Rosenbrock" method and finds the flux level at the minimum input power of induction motor. Once this optimal flux level has been determined, this information is utilized to update the rule base of a fuzzy controller A sliding mode observer is designed to estimate rotor flux and an adaptive backstepping controller is also used to compensate for mechanical uncertainties in the speed control of induction motor. Simulation results are presented to validate the proposed controller.

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