• Journal of Korean Public Health Nursing
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• v.10 no.1
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• pp.95-105
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• 1996

This study was uncertaken to find an effective management modality for patients with hypertension. Patients 60years or older were selected for this purpose from a general hospital and a welfare center in Pusan and from a public health clinic in Cheju Island. During the month of October in 1984. the management modality for hypertension. the incurred medical expenses. and knowledge about the hypertension were analyzed and compared. The following results were obtained: 1. The a erage total medical expense per year was highest at the general hospital followed by the public health clinic and the welfare center. 2. It was found that the patients chose the public health clinic for its low medical cost. the welfare center for its proximity as well as for its low medical cost. and the general hospital for its quality medical services Also. the study has shown that the prescription of drugs was the major service provided by the public health clinic whereas the blood pressure measurement. the prescription of drugs. and family planning were the primary service offered by the welfare center. Drug prescription and blood pressure measurement were two of the most important services by the general hospital. 3. It was shown that the knowledge of hypertension was highnest at the welfare center whereas the management of hypertension was highest at the public health clinic. Based on above results and considering the chronic nature. it is believed that family awareness of the illness was one of the most important aspects for effective management of the hypertension for the elderly patients. In addition. the health care clinics at every level should come forward to execition of the educational programs and home nursing schomes for the effective management of the hypertension patients.

• Journal of the Korean Society of Clothing and Textiles
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• v.25 no.5
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• pp.933-944
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• 2001

The purpose of this research was to classify service dimensions for each apparel product which was thought to be important to consumers and to examine what kind of service dimensions are assessed to be more important than others. Furthermore, whether there were significant differences in the service dimensions and importances of services dimensions were examined by apparel product type(casual, formal products). Data were collected from women who were over 20 years old that live in Seoul. A questionnaire developed based on the previous researches and data were analyzed by factor analysis, t-test, ANOVA, frequency analysis. The results of this study were as follows: First, services of salesperson were divided into six dimensions: \"focused on customers\", \"knowledge/competency\", \"courtesy\", \"appearance/image\", \"purchasing induction\", and \"concerning\". As to service dimension importance, consumers think that \"service focused on customers\" is the most important dimension of service. Second, results of examining the importance according to apparel product type showed that five of the six service dimensions in formal product sales were more important except for the \"knowledge\" related service. Last, as to demographic characteristic variables, people who were over 40 years old were likely to think \"purchasing induction\", \"appearance/image\", \"concerning\" service dimensions more important than the other ages. And it was found that consumers who spend less money on purchasing clothing in a month thought \"focused on customers\" service was more important than the other consumers. In conclusion store managers could apply these results to service education of salesperson and use on preservation and improvement of customer relationship. And according to apparel product types, the results will give some implications to various service policies.

• Korean Journal of Construction Engineering and Management
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• v.10 no.5
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• pp.85-94
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• 2009

For the purpose of analysing the capability (knowledge, experience, and ability) of CM at Risk in the major construction company in korea, this study performed questionnaire survey with experts in the companies. Based on the analysis of the survey, the study was found as follows. 1) It is needed to increase the capability of preconstruction services, such as project management plan/manual, contract documents, value engineering, alternative analysis, time management, and claim. 2) Despite of gap of the capability between the present and the future CM services, the study concluded that the capability is sufficient to perform CM at Risk project in the major construction company.

• Journal of the Korea Society of Computer and Information
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• v.15 no.1
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• pp.23-30
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• 2010

With the advancement of information technology and increasing diversity in medical field, there are ongoing researches on ontology based intelligent medical system in Oriental medicine field. Intelligent diagnostic support system uses ontology to give a structure to complex medical knowledge and personal medical history so that we can make diagnosis more scientific, and provide better medical services. In this paper, we suggest an ontology that structuralize three knowledge types basic medical data, clinical trial data, and personal health information, which can be used as important information for individually tailored diagnosis. Especially in Oriental medicine diagnosis, both patient's symptoms of illness and physical constitution play a great role; it can lead to distinct diagnosis depending on their combination. Thus, it is much needed to have a diagnostic support system that uses personal health history and physical constitution along with basic medical data and clinical trial data in the field. In this paper, we implemented an Oriental medicine diagnostic support system that provides individualized diagnosis service to each patient by building an ontology on Oriental medicine focused on individual physical constitution and disease information.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.2
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• pp.249-258
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• 2012

Cyber attacks expose sensitive information and cause fatal damage in both the public and the private sectors. Therefore, MKE (Ministry of Knowledge Economy) Cyber Security Center was founded on July 25, 2008, to perform three major roles. First, it detects and analyzes cyber attacks for the both sectors. Second, its ISAC (Information Sharing & Analysis Center) service analyzes and evaluates the vulnerability of the communication and network infrastructure to security threats, including control systems. Third, it provides CERT/CC (Computer Emergency Response Team Coordination Center) service to prevent and to respond to computer security incidents. This study focuses on the MKE Cyber Security Center's service analysis, which is playing an increasingly larger role in the both sectors. Based on this analysis, after grasping the response services activity and pointing out the problems, this study suggests improvements to the MKE Cyber Security Center.

• International Journal of Knowledge Content Development & Technology
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• v.14 no.1
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• pp.19-31
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• 2024

In order to support the mission of the institution in which they are attached, academic libraries provide services in both manual and digital but COVID -19 pandemic that spanned between March and September, 2020 has changed the scenario. With particular reference to Nigeria, about 249,606 cases were confirmed and in order to curb the scourge of this deadly disease, physical academic activities were prevented by Nigeria Centre for Disease Control (NCDC). With this development, innovative tools became indispensable tools for successful delivery of library services in Nigerian academic libraries. Whether or not these tools are still in use for reformation of library service during post- Covid era remains unclear, hence, need for this study. This study examined librarians' use of innovative tools for information dissemination in Nigerian academic libraries during the post-Covid era using a descriptive survey design. Data were obtained both in quantitative and qualitative formats from one hundred and forty-four librarians as respondents. A total enumeration sampling technique was adopted because the population was minimal. Findings of the study revealed that innovative tools such as videoconferencing, WhatsApp, teleconferencing, Facebook, LinkedIn, and web-based learning applications are still in use by librarians for the dissemination of information during the post-Covid era. These tools are useful and beneficial to librarians during the post-COVID era, as they facilitate easy participation and engagement of library users in various discussions. Inadequate funding and lack of advanced technology skills were also identified as major impediments to the successful use of innovative tools for information dissemination. As a result, it was suggested that academic libraries throughout Nigeria prioritize staff training on the necessary digital skills needed to cope in this advanced technology era.

• Journal of Internet Computing and Services
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• v.13 no.1
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• pp.65-74
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• 2012

Cloud services are used for improving business. Moreover, customer relationship management(CRM) approaches use social networking as tools to enhance services to customers. However, most cloud systems do not support the semantic structures, and because of this, vital information from social network sites is still hard to process and use for business strategy. This paper proposes a collaboration framework based on social semantic web for cloud system. The proposed framework consists of components to support social semantic web to provide an efficient collaboration system for cloud consumers and service providers. The knowledge acquisition module extracts rules from data gathered by social agents and these rules are used for collaboration and business strategy. This paper showed the implementations of processing of social network site data in the proposed semantic model and pattern extraction which was used for the virtual grouping of cloud service providers for efficient collaboration.

• The Korean Journal of Emergency Medical Services
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• v.24 no.1
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• pp.7-24
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• 2020

Purpose: Emergency medical service (EMS) personnel are at high risk of spreading infection. In this study, we used the PRECEDE model to identify the knowledge, status, and barriers to infection control among Korean paramedics to provide basic infection control data. Methods: A total of 164 respondents were analyzed for the study. A questionnaire was administered and collected through an online self-response platform. Descriptive analysis, t-test, ANOVA, multiple regression, and logistic regression analyses were performed to determine infection control practices and associated factors using SAS 9.4. To identify the pathways and direct, indirect, total effects based on the PRECEDE model, we used AMOS 26.0. Results: Highly rated self-efficacy (OR 8.82, 95% CI: 3.23-24.09), awareness (OR 6.05, 95% CI: 2.06-17.72), and enabling factors (OR 3.23, 95% CI: 1.18-8.78) led to superior infection control. As a result of the structural model analysis, the highly rated enabling factors and awareness led to superior practice patterns. Conclusion: Practice is related to self-efficacy, awareness, and enabling factors; however, further research is needed to develop strategies for infection control. In particular, institutional arrangements are needed to improve the enabling factors. Improving infection control performance may lead to better infection control and enhanced protection of EMS personnel and patients against infection risks.

• Annual Conference of KIPS
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• 2012.11a
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• pp.1321-1322
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• 2012

With the advance of Information Technology (IT) and dynamic requirements, diverse application services have been provided for end users. With huge volume of these services and information, users are required to acquire customized services that provide personalized information and decision at particular extent of time. The case is more appealing in healthcare, where patients wish to have access to their medical record where they have control and provided with recommendation on the medical information. PHR (Personal Health Record) is most prevailing initiative that gives secure access on patient record at anytime and anywhere. PHR should also incorporate decision support to help patients in self-management of their diseases. Available PHR system incorporates basic recommendations based on patient routine data. We have proposed decision support service called "Smart CDSS" that provides recommendations on PHR data for diabetic patients. Smart CDSS follows HL7 vMR (Virtual Medical Record) to help in integration with diverse application including PHR. PHR shares patient data with Smart CDSS through standard interfaces that pass through Adaptability Engine (AE). AE transforms the PHR CCR/CCD (Continuity of Care Record/Document) into standard HL7 vMR format. Smart CDSS produces recommendation on PHR datasets based on diabetic knowledge base represented in shareable HL7 Arden Syntax format. The Smart CDSS service is deployed on public cloud over MS Azure environment and PHR is maintaining on private cloud. The system has been evaluated for recommendation for 100 diabetic patients from Saint's Mary Hospital. The recommendations were compared with physicians' guidelines which complement the self-management of the patient.

• The Journal of Bigdata
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• v.7 no.2
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• pp.91-102
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• 2022

As artificial intelligence develops, AI chatbot systems are actively taking place. For example, in public institutions, the use of chatbots is expanding to work assistance and professional knowledge services in civil complaints and administration, and private companies are using chatbots for interactive customer response services. In this study, we propose a scenario-based AI voice chatbot system to reduce museum operating costs and provide interactive guidance services to visitors. The implemented voice chatbot system consists of a watcher object that detects the user's voice by monitoring a specific directory in real-time, and an event handler object that outputs AI's response voice by performing inference by model sequentially when a voice file is created. And Including a function to prevent duplication using thread and a deque, GPU operations are not duplicated during inference in a single GPU environment.