• Journal of KIISE:Computing Practices and Letters
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• v.15 no.1
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• pp.38-46
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• 2009

With the rapid increase in the number of Web documents, the problem of information overload is growing more serious in Internet search. In order to ease the problem, researchers are paying attention to personalization, which creates Web environment fittingly for users' preference, but most of search engines produce results focused on users' queries. Thus, the present study examined the method of producing search results personalized based on a user's understanding level. A characteristic that differentiates this study from previous researches is that it considers users' understanding level and searches documents of difficulty fit for the level first. The difficulty level of a document is adjusted based on the understanding level of users who access the document, and a user's understanding level is updated periodically based on the difficulty of documents accessed by the user. A Web search system based on the results of this study is expected to bring very useful results to Web users of various age groups.

• Journal of dental hygiene science
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• v.20 no.2
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• pp.107-117
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• 2020

Background: In this study, we tried to comprehensively explore clinical dental hygienist's experience of a prevention-based incremental oral health care program, which was pilot-operated by dental clinics, define prevention-based incremental oral health care as experienced in the field, and identify factors to be considered. Methods: This study conducted a focus group interview with five dental hygienists who participated in an ongoing oral management pilot project in 2016. The interview was conducted by a researcher, and the co-research team attended as progress assistants and recorded characteristics of the participants, main dictations, and non-verbal characteristics. All interviews were recorded and underwent thematic analysis to examine the questions of the study as the main axis. Results: As a result of the study, 65 meaningful statements were extracted by code, integrated into 24 sub-categories, and structured into 11 categories. Finally, four keywords were drawn: characteristics, facilitating factors, conflicting factors, and improvement measures for prevention-based incremental oral health care. Regarding prevention-based incremental oral health care in dental clinics, dental hygienists were highly aware of the physical and mental burdens of personalized treatment and education for each individual. They were responsible for the patient and for facilitating changes in the behavior of the client, leading to professional satisfaction. The dental team's cooperation and supportive attitude were found essential to continue oral health care in the dental clinic. Conclusion: Through dental team-based treatment philosophy sharing and collaboration, it is possible to provide prevention-based incremental oral health care in dental clinics. In future, it is necessary to develop a system for establishing a sustainable preventative management system for public health promotion.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.9 no.6
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• pp.125-134
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• 2009

Ubiquitous are not courted in time and place of users and must offer service in network freely. There is telematics by representative application service during it. telematics service must provide service that is personalized according to time and place. Also, user who use telematics service must offer service that can use automatically even if do not request service. Therefore, in the paper wish to embody service discovery way design in telematics environment because treatise that see uses UPnP through PDA that is user Mobile terminal. PDA connected by local server of telematics service point and Bluetooth communication, and use finding UPnP device and service that is linked with local server using UPnP. Design UPnP device that provide service to user in telematics environment. Construct telematics service test bed to test service discovery. Because constructed system applies UPnP on Bluetooth communication base, service discovery system implementation and test.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.9
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• pp.3635-3638
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• 2015

Several improvements in ovarian cancer treatment have been achieved in recent years, both in surgery and in combination chemotherapy with targeting. However, ovarian tumors remain the women's cancers with highest mortality rates. In this scenario, a pivotal role has been endorsed to the immunological environment and to the immunological mechanisms involved in ovarian cancer behavior. Recent evidence suggests a loss of the critical balance between immune-activating and immune-suppressing mechanisms when oncogenesis and cancer progression occur. Ovarian cancer generates a mechanism to escape the immune system by producing a highly suppressive environment. Immune-activated tumor infiltrating lymphocytes (TILs) in ovarian tumor tissue testify that the immune system is the trigger in this neoplasm. The TIL mileau has been demonstrated to be associated with better prognosis, more chemosensitivity, and more cases of optimal residual tumor achieved during primary cytoreduction. Nowadays, scientists are focusing attention on new immunologically effective tumor biomarkers in order to optimize selection of patients for recruitment in clinical trials and to identify relationships of these biomarkers with responses to immunotherapeutics. Assessing this point of view, TILs might be considered as a potent predictive immunotherapy biomarker.

• Journal of Convergence for Information Technology
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• v.10 no.6
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• pp.8-13
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• 2020

In this paper, we study smart healthcare devices that enable active health care by building health care system with acquaintances or family members rather than single health care. The company develops health care services for families regardless of age and gender through intuitive UI design as a target for young users who serve elderly parents. Automated collection of health information and real-time feedback are available, and data can be aggregated and analyzed through repeaters. It can also utilize structured databases in the form of big data. The services offered can be used to prevent diseases and reduce medical expenses through health care, while automatic management can maximize users' convenience and increase demand. By reducing the development period of products that are based on this technology, reducing the development period of products and strengthening competitiveness, the company has the advantage of inducing generation-to-generation communication in an era when it is becoming a nuclear family.

• The Journal of Society for e-Business Studies
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• v.12 no.3
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• pp.75-93
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• 2007

This paper presents real-time online early fire warning systems developed for preserving cultural properties of Bulguksa which is a world heritage designated by UNESCO. The system is based on the ubiquitous sensor network employing 900MHz and 2.4GHz bands. In this paper, we analyze requirements that should be considered in building effective management systems of cultural heritages by using wireless sensor network. Finally, we introduce the architecture, sensor and network design, and software design of the fire warning systems which is an initial version of U-Bulguksa. The current version of systems has been operating in Bukguksa for a few months. U-Bukguksa project sponsored by National Information Society Agency is ultimately aimed at developing an integrated system of U-cultural heritage management and U-tourism. The former aims to conserve and manage intangible cultural properties by providing a variety of environmental information such as erosion, crack, and gradient as well as fire which are important causes of loss and damage in real-time and online. The latter refers to the intelligent tourism information and guidance systems allowing tourists to get the personalized content on cultural heritages and help guidance with mobile devices in Bulguksa.

• The Journal of Society for e-Business Studies
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• v.22 no.4
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• pp.39-51
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• 2017

In October 2016, the NFSA (National Financial Supervisory Authorities) revised the network separation clause of the Regulation on Supervision of Electronic Financial Activities in order to promote the Cloud Computing implementation in the financial sectors. The new regulation, however, limits the Cloud Computing usage to non-critical information and its processing system. Financial institutions that provide customer data analysis and personalized services based on personal data regard current revision as unchanged as before. The implementation of Cloud Computing has greatly contributed to cost reduction, business innovation and is an essential requirement in ever-changing information communication technology environment. To guarantee both security and reliability of the implementation of the Cloud Computing in financial sectors, a considerable amount of research and debate needs to be done. This paper examines current Cloud Computing policies in the Korean financial sector and the challenges associated with it. Finally, the paper identifies policy suggestions based on both European Union and United States' approach as they have successfully introduced Cloud Computing Services for their financial sectors.

• Journal of Korea Society of Industrial Information Systems
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• v.17 no.6
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• pp.31-40
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• 2012

Ubiquitous technology influences on various firms of contents needed for self-healthcare, as it fuses into medical services. Particularly, rapid changes in the web and mobile environment, requiring various sorts of healthcare and its related contents, make efficiency of search more important. Personalized contents needs to be more refined as well as the existing simple keyword-centered searching method needs to be more effective in order to meet both requirements and characteristics of each patient or each user. A precise semantic searching method is required for a system to understand promptly the meaning of a contents. In this respect, to build a healthcare ontology has its own significance. This study builds up a system model that can be utilized practically in existing systems by setting up the Food Class and its sub-class among the healthcare contents with Protege tool and then materializing constraints and its relationships between each class. The healthcare contents ontology provides patients or users with a platform which can search the needed information promptly and precisely.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37 no.7C
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• pp.610-618
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• 2012

In this paper, using a image processing techniques to develop an color analysis program to apply the influence analysis by smoking were analyzed. So, this study was conducted to analyze is based on oriental medicine diagnosis theory, especially ocular inspection, of the right cheek area of the lung and lung function and weakness associated with it closer to white by applying IT image processing techniques based on smoking to compare the change in color according to the face. From this, 15 patients with 20 male subjects before and after smoking extract the color of the area on the right cheek, a values and b values in Lab digital color system were analyzed by smoking how to analyze what is changing. Also, health care system based on this variation reflects the individual, personalized will be constructed. Experimental results on the right cheek area approach to the color white according to the amounts of smoking, this is by smoking adversely affects lungs function that can be analyzed.

• Journal of Digital Convergence
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• v.14 no.11
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• pp.289-295
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• 2016

Subway is a future-oriented means of transportation that can be safely and quickly mass transport many passengers than buses and taxis. Congestion growth due to the increase of the metro users is one of the factors that hinder citizens' rights to comfortably use the subway. Accordingly, congestion prediction in the subway is one of the ways to maximize the use of passenger convenience and comfort. In this paper, we monitor the level of congestion in real time via the existing congestion on the metro using multiple regression analysis and big data processing, as well as their departure station and arrival station information More information about the transfer stations offer a personalized congestion prediction system. The accuracy of the predicted congestion shows about 81% accuracy, which is compared to the real congestion. In this paper, the proposed prediction and recommendation application will be a help to prediction of subway congestion and user convenience.