• Title/Summary/Keyword: Policy Search

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A Study on the Condominium Management Policy of the Local Government in Japan

  • Kim, Jung-In;Kajiura Tsuneo
    • Proceeding of Spring/Autumn Annual Conference of KHA
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    • 2002.11a
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    • pp.279-285
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    • 2002
  • Condominium management ask for planning ability and special knowledge in order to solve the troubles of a condominium. But not all HOA have that ability or knowledge, so administration support to condominium management came to be given to HOA. In this study, we divided the administration policies on condominium management as follows;$\circled1$instruction about an advertisement and a contract$\circled2$instruction about management$\circled3$instruction about maintenance $\circled4$ instruction by the local government $\circled5$ legislation about condominium management. The condominium management policy has been almost programmed by the state, such as legal amendments to laws and advises by administrative inspection. But these condominium management policies by the state have limitations to support HOA appropriately, so correspondence of the local government is called for, On the other hand, in the local governments, grasp basic contents for execution to the condominium management policy, an information of offering and consultation has been started. And system that suits the situation and the characteristic of each district was provided. However it could not say that we grasp the tendency of the condominium management policies wholly of the local governments, so it remains as a subject because it is not long since condominium management policies of the local government started, and we picked up only metropolis in this study. In the future, it is necessary to search on the consciousness of a resident and the HOA about the condominium management policy, and make out the data which can be reflected in policy deployment in the local governments from now on. * HOA ‥‥ Home Owners Association

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Concealed Policy and Ciphertext Cryptography of Attributes with Keyword Searching for Searching and Filtering Encrypted Cloud Email

  • Alhumaidi, Hind;Alsuwat, Hatim
    • International Journal of Computer Science & Network Security
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    • v.22 no.6
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    • pp.212-222
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    • 2022
  • There has been a rapid increase in the use of cloud email services. As a result, email encryption has become more commonplace as concerns about cloud privacy and security grow. Nevertheless, this increase in usage is creating the challenge of how to effectively be searching and filtering the encrypted emails. They are popular technologies of solving the issue of the encrypted emails searching through searchable public key encryption. However, the problem of encrypted email filtering remains to be solved. As a new approach to finding and filtering encrypted emails in the cloud, we propose a ciphertext-based encrypted policy attribute-based encryption scheme and keyword search procedure based on hidden policy ciphertext. This feature allows the user of searching using some encrypted emails keywords in the cloud as well as allowing the emails filter-based server toward filter the content of the encrypted emails, similar to the traditional email keyword filtering service. By utilizing composite order bilinear groups, a hidden policy system has been successfully demonstrated to be secure by our dual system encryption process. Proposed system can be used with other scenarios such as searching and filtering files as an applicable method.

Improvements of pursuit performance using episodic parameter optimization in probabilistic games (에피소드 매개변수 최적화를 이용한 확률게임에서의 추적정책 성능 향상)

  • Kwak, Dong-Jun;Kim, H.-Jin
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.40 no.3
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    • pp.215-221
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    • 2012
  • In this paper, we introduce an optimization method to improve pursuit performance of a pursuer in a pursuit-evasion game (PEG). Pursuers build a probability map and employ a hybrid pursuit policy which combines the merits of local-max and global-max pursuit policies to search and capture evaders as soon as possible in a 2-dimensional space. We propose an episodic parameter optimization (EPO) algorithm to learn good values for the weighting parameters of a hybrid pursuit policy. The EPO algorithm is performed while many episodes of the PEG are run repeatedly and the reward of each episode is accumulated using reinforcement learning, and the candidate weighting parameter is selected in a way that maximizes the total averaged reward by using the golden section search method. We found the best pursuit policy in various situations which are the different number of evaders and the different size of spaces and analyzed results.

Evaluation of the Effect of Clinical Practice Guideline using Systematic Review (체계적 고찰 방법을 이용한 임상진료지침 정책효과 평가)

  • Lee, Sun-Hee;Ha, Gwi-Yeom;Kim, Ju-Hye;Seo, Ju-Hyun;Kim, Hyun-Mi
    • Korea Journal of Hospital Management
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    • v.14 no.1
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    • pp.62-98
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    • 2009
  • A systematic review of the literatures was conducted to evaluate the effect of clinical practice guideline. The 77 studies were identified from a computerized search of published research on MEDLINE, Science-Direct and Blackwell synergy from January, 1997 to October, 2007. The main search terms were "clinical practice guideline" and "effectiveness", "clinical practice guideline" and "impact", "clinical practice guideline" and "evaluation". These studies were assessed the Quality twice by one Qualified expert and converted into weighted scale. The 63 studies were eligible inclusion criteria and subdivided into type of effect. Final indicator using for policy effect of clinical practice guidelines were classified as 4 categories; "improvement of outcomes" in 81 studies, "betterment in practice patterns" in 68 studies, "rationalization in resource utilization" in 84 studies and "cost containment" in 31 studies. The vote-counting method, one of meta-analysis method, was applied to summarized the effect of clinical practice guidelines and test statistically. From results of meta analysis, all indices were statistically significant. In conclusion, this meta-analysis showed that introduction of clinical practice guidelines were resulted positive outcomes in health policy.

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In Search of an Alternative Regional Industrial Policy by Linking Cluster Policy with Smart Specialization Strategy and the Triple Helix Innovation System (스마트전문화 전략 및 트리플헬릭스 혁신체계와 클러스터 정책의 연계를 통한 대안적 지역산업정책의 모색)

  • Lee, Jong-Ho;Lee, Chul-Woo
    • Journal of the Economic Geographical Society of Korea
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    • v.19 no.4
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    • pp.799-811
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    • 2016
  • After the participatory government began, various cluster policies in explicit and tacit forms had been promoted. However, an opinion of coming up with new policy alternative different from the existing one is recently brought up for strengthening the competitiveness of industrial agglomerations. This research attempts to discuss the ways in which both a smart specialization strategy and a triple-helix innovation system approach, as an alternative approach to regional industrial policy, are theoretically associated with the existing cluster policy. Through this discussion, it highlights that post-cluster policy should be not just based on regional specificity, but also facilitated by establishing the consensus space of innovation on the bassis of voluntary cooperation among industry, academy and government. It also stresses that it is necessary to focus on nurturing a new industry by systematic and intensive investment and the diversification of industrial cluster for reinforcing competitiveness of local universities and revitalizing practical cooperation between industry and university.

In Search of New Science & Technology Policy (새로운 과학기술정책의 모색 - 통합적 과학기술정책을 중심으로-)

  • Lee Jong-Min;Park Jeong-Soo;Hwang Doo-Hee;Chung Sun-Yang
    • Proceedings of the Korea Technology Innovation Society Conference
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    • 2005.05a
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    • pp.95-110
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    • 2005
  • Science & Technology(S&T) is the most important thing to attain competitiveness in the 21st century, Our traditional S&T policies have been focused on hardware infra structure. we should consider software of S&T to enhance effectiveness. S&T should be had a correct understanding method of the creation for S&T culture. It implies that S&T policy in the 21st century should consider nonmaterial factors which include social, human, environmental and culture. Under this background, The purpose of this paper is to seek new S&T policy in the 21st century. Therefor this paper deals with how we can prepare for the future S&T policy and classify the change of S&T policy of Korea and analyze the characteristic of each phase. This paper argues that all actors (for example, S&T personnel, corporate using S&T, general public) should participate in the process of S&T innovation since the 21st century is the generation of the general public S&T. Also this paper presented the expanded S&T policy Right S&T policy could leads to diffuse right S&T culture. Diffusing S&T culture could accomplish expanded S&T policy which was considered phases of culture and welfare.

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Investigating the Characteristics of Policy Information Resources for Activating Policy Information Services (정책정보서비스 활성화를 위한 정책정보 자료원의 특성 연구)

  • Lee, Myeong-Hee
    • Journal of the Korean Society for Library and Information Science
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    • v.53 no.1
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    • pp.33-55
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    • 2019
  • Knowledge information resources produced by policy research institutes were categorized into knowledge information resources derived from research processes, knowledge information resources derived from research results, and knowledge information resources processed from research results, respectively. The names of these knowledge information resources and the metadata items were investigated on 13 policy research institute websites. In addition, the study examined the provision status of 8 Knowledge information resources specialized by type on the websites and confirmed that they work as knowledge resource management systems for each corresponding area. The results of the study suggest constructing a collective search system for research results based on the same research topics, developing a knowledge map of policy information, compressing reports for policy makers, building subject expert databases, producing video reports, developing metadata standards, and creating statistical databases and indicators by subject areas.

Analysis of User Information Behaviors for the Improvement of Policy Information Services of National Library of Korea, Sejong (국립세종도서관 정책정보서비스 활성화를 위한 이용자 정보행태 분석)

  • Lee, Jongwook;Park, Sungjae;Choi, Jae-Hwang
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.30 no.3
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    • pp.111-128
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    • 2019
  • This study was conducted as part of an effort to vitalize policy information services (POINT) of National Library of Korea, Sejong. The authors examined information behavior and policy information service use behavior of policy information users and checked if there are any differences in information behavior by participants' occupations (public officials, researchers, and librarians). We carried out an online survey and collected 331 completed survey responses. Overall, the most frequently used type of material was research report, followed by journal article and monograph, etc. The participants frequently used search engines and policy information services to acquire policy information. Also, 47.7% of the participants were aware of and had usage experience of POINT. Furthermore, we found statistically significant differences in some aspects of policy information behavior and in perceptions toward POINT across participants' occupations. These findings suggest that National Library of Korea, Sejong needs to improve their services based on a better understanding on target users.

Current State of the Art and Review of Google and Baidu Search Engines' Privacy Policies Using Sentiment Analysis and Opinion Mining (구글과 바이두 검색엔진의 개인정보에 대한 감성분석과 마이닝)

  • Li, Jiapei;Li, Xiaomeng;Xiam, Xiam;Kang, Sun-kyung;Lee, Hyun Chang;Shin, Seong-yoon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.05a
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    • pp.158-159
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    • 2017
  • Sentiment analysis is the review of written or verbal communications to determine some measure of emotion or feeling in the communication. Search engines are one of the most popular sites visited on the Internet generating hundreds of billions of hits per month worldwide. Obviously privacy policies related to these search sites are extremely important. Our study reviews the privacy policies of the two largest search engines, Google and Baidu to determine the overall sentiment of their privacy policies. Significant individual findings and significant differences were found using several sentiment and opinion analysis methods.

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Photo Retrieval System using Kinect Sensor in Smart TV Environment (스마트 TV 환경에서 키넥트 센서를 이용한 사진 검색 시스템)

  • Choi, Ju Choel
    • Journal of Digital Convergence
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    • v.12 no.3
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    • pp.255-261
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    • 2014
  • Advances of digital device technology such as digital cameras, smart phones and tablets, provide convenience way for people to take pictures during his/her life. Photo data is being spread rapidly throughout the social network, causing the excessive amount of data available on the internet. Photo retrieval is categorized into three types, which are: keyword-based search, example-based search, visualize query-based search. The commonly used multimedia search methods which are implemented on Smart TV are adapting the previous methods that were optimized for PC environment. That causes some features of the method becoming irrelevant to be implemented on Smart TV. This paper proposes a novel Visual Query-based Photo Retrieval Method in Smart TV Environment using a motion sensing input device known as Kinect Sensor. We detected hand gestures using kinect sensor and used the information to mimic the control function of a mouse. The average precision and recall of the proposed system are 81% and 80%, respectively, with threshold value was set to 0.7.