• Journal of Information Processing Systems
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• 제6권2호
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• pp.185-196
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• 2010

This paper proposes a personal information protection model that allows a user to regulate his or her own personal information and privacy protection policies to receive services provided by a service provider without having to reveal personal information in a way that the user is opposed to. When the user needs to receive a service that requires personal information, the user will only reveal personal information that they find acceptable and for uses that they agree with. Users receive desired services from the service provider only when there is agreement between the user's and the service provider's security policies. Moreover, the proposed model utilizes a mobile agent that is transmitted from the user's personal space, providing the user with complete control over their privacy protection. In addition, the mobile agent is itself a self-destructing program that eliminates the possibility of personal information being leaked. The mobile agent described in this paper allows users to truly control access to their personal information.

• Journal of information and communication convergence engineering
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• 제16권1호
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• pp.48-51
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• 2018

The traditional documents analysis was centered on words based system was implemented using a morpheme analyzer. These traditional systems can classify used words in the document but, cannot help to user's document understanding or analysis. In this problem solved, System needs extract for most valuable paragraphs what can help to user understanding documents. In this paper, we propose system extracts paragraphs of normalized XML document. User insert to system what filename when wants for analyze XML document. Then, system is search for keyword of the document. And system shows results searched keyword. When user choice and inserts keyword for user wants then, extracting for paragraph including keyword. After extracting paragraph, system operating maintenance paragraph sequence and check duplication. If exist duplication then, system deletes paragraph of duplication. And system informs result to user what counting each keyword frequency and weight to user, sorted paragraphs.

• 기록학연구
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• 제62호
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• pp.139-183
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• 2019

오늘날 기록관은 생존과 발전을 위해 이용자에게 더욱 친근하고 개방적인 공간으로 나아가고, 세분화된 이용자의 행태와 요구를 기반으로 차별화된 서비스를 제공해야 하는 과제를 가지고 있다. 특히 어린이를 대상으로 하는 서비스의 구축은 대중의 의식을 전환시키고 현재와 앞으로의 고객을 확충하기 위해 요구되고 있다. 이에 본 연구는 대통령기록관 전시서비스에 대한 어린이 이용자의 인식과 요구를 파악함으로써 전시서비스 개선에 필요한 기초자료를 제공하는 것을 목적으로 하였다. 이를 위해 국내외 대통령기록관의 전시서비스 사례와 현황을 알아보고, 대통령기록관을 방문하여 전시서비스를 경험한 어린이 및 어린이를 동반한 성인 이용자를 대상으로 설문조사를 실시하였다. 본 연구는 어린이 이용자의 관점을 토대로 기록관 전시서비스에 대한 평가를 수행하였다는 점에서 의의가 있다. 또한 본 연구에서 살펴본 어린이 이용자의 만족도 및 요구 분석은 기록문화의 확산과 어린이 이용자의 방문 활성화에 기여할 수 있을 것이다.

• 한국비블리아학회지
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• 제15권2호
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• pp.241-254
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• 2004

본 논문은 국내 대학도서관 학술연구정보 이용자들을 그들의 정보요구, 정보이용행태, 정보활용능력을 중심으로 살펴보았다. 이용자들은 도서관 이용에 관한 기본적인 안내정보를 가장 많이 필요로 하고 있으나 대학의 온라인이나 오프라인 도서관시스템은 기본정보제공이 불충분한 것으로 나타났다. 또한 이용자들은 학술연구정보에 대한 주제탐색의 요구를 가지고 있으나 이를 만족시킬 만한 탐색지식이나 정보원에 관한 정보가 부족한 상태인 것으로 드러났다. 이용자의 학술연구정보 활용능력은 저조한 편이며 특히 기사검색이나 원문검색과 같은 고급학술연구정보 활용능력은 극히 낮은 수준에 머물렀다. 대학도서관의 안내정보시스템과 사용자 인터페이스의 개선이 요망되며 피상적인 이용자교육을 지양한 고급의 학술연구정보를 활용할 수 있는 이용자교육이 요청된다.

• International Journal of Computer Science & Network Security
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• 제22권10호
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• pp.374-388
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• 2022

Cloud computing has been one of the most critical technology in the last few decades. It has been invented for several purposes as an example meeting the user requirements and is to satisfy the needs of the user in simple ways. Since cloud computing has been invented, it had followed the traditional approaches in elasticity, which is the key characteristic of cloud computing. Elasticity is that feature in cloud computing which is seeking to meet the needs of the user's with no interruption at run time. There are traditional approaches to do elasticity which have been conducted for several years and have been done with different modelling of mathematical. Even though mathematical modellings have done a forward step in meeting the user's needs, there is still a lack in the optimisation of elasticity. To optimise the elasticity in the cloud, it could be better to benefit of Machine Learning algorithms to predict upcoming workloads and assign them to the scheduling algorithm which would achieve an excellent provision of the cloud services and would improve the Quality of Service (QoS) and save power consumption. Therefore, this paper aims to investigate the use of machine learning techniques in order to predict the workload of Physical Hosts (PH) on the cloud and their energy consumption. The environment of the cloud will be the school of computing cloud testbed (SoC) which will host the experiments. The experiments will take on real applications with different behaviours, by changing workloads over time. The results of the experiments demonstrate that our machine learning techniques used in scheduling algorithm is able to predict the workload of physical hosts (CPU utilisation) and that would contribute to reducing power consumption by scheduling the upcoming virtual machines to the lowest CPU utilisation in the environment of physical hosts. Additionally, there are a number of tools, which are used and explored in this paper, such as the WEKA tool to train the real data to explore Machine learning algorithms and the Zabbix tool to monitor the power consumption before and after scheduling the virtual machines to physical hosts. Moreover, the methodology of the paper is the agile approach that helps us in achieving our solution and managing our paper effectively.

• Journal of Information Science Theory and Practice
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• 제4권4호
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• pp.4-15
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• 2016

Information needs of users have been examined both generally and as they pertain to particular types and formats of information. Barriers to information have also been investigated, including those which are situational and also across certain domains and socioeconomic contexts. Unified studies concerning both information needs and barriers are needed. Both are likely always present in any given interactive search situation; further, users' attempts to satisfy their own individualized information needs will likely encounter barriers of some sort. The present study employed a survey method to collect users' perceptions of video information needs and barriers as part of recent video search situations. Findings from this analysis establish a unified framework, based on the themes emerging directly from the responses of users, and present the suitability and benefit for informing future designs and evaluations of user-centered interactive retrieval tools.

• International journal of advanced smart convergence
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• 제9권3호
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• pp.227-231
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• 2020

Recently, the importance of user experience (UX) has been rapidly increasing. Its utilization is emphasized for development of systems, products, and services. User experience is widely used across industries including services, products, processes, society, and culture. Therefore, if it is unsatisfactory, it is likely to have a direct negative impact on the corresponding system, product, or service. The failure to analyze user experience causes significant damage to the project, which may lead to its failure or redevelopment; it is hence necessary to prioritize the verification of UX in the earliest stages of development. The requirements development stage, which is a preceding stage, is an appropriate stage for the verification of user experience because the identification of user needs is completed and prototypes can be implemented. In this paper, we proposed a systematic requirements development stage; it adds user experience verification activities to the requirements development stage, using the Honeycomb model, which is a widely used tool for verifying the overall UX. User experience verification was added to the existing requirements development activities, which consisted of three steps: model definition and requirements placement, discussions between external and internal stakeholders, and review by internal stakeholders. By easily validating the user experience through this systematic requirements development stage, we expect to minimize the damage to the project due to the failure of the user experience analysis and increase the possibility of success.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제14권2호
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• pp.122-129
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• 2014

Effective information gathering and retrieval of the most relevant web documents on the topic of interest is difficult due to the large amount of information that exists in various formats. Current information gathering and retrieval techniques are unable to exploit semantic knowledge within documents in the "big data" environment; therefore, they cannot provide precise answers to specific questions. Existing commercial big data analytic platforms are restricted to a single data type; moreover, different big data analytic platforms are effective at processing different data types. Therefore, the development of a common big data platform that is suitable for efficiently processing various data types is needed. Furthermore, users often possess more than one intelligent device. It is therefore important to find an efficient preference profile construction approach to record the user context and personalized applications. In this way, user needs can be tailored according to the user's dynamic interests by tracking all devices owned by the user.

• 한국문헌정보학회지
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• 제23권
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• pp.107-125
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• 1992

The purpose of this study is to investigate the research trend of information user studies. The following findings are made. The literature on information user studies during 1980-1990 reveals 120 titles. The faculty members of university tend to publish their results in scientific journals and university publication while non-faculty members are more likely to represent their research papers in unpublished master thesis and bulletin. Subject distribution of research were classified into ten: user studies, material use studies, information needs and uses, user education, library use pattern, citation analysis, journal use, catalog use, information system, non-use study. Survey research, literature research, survey reserch and literature research use jointly, experimental research and citation analysis were employed for information user studies.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2002년도 추계정기학술대회
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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