• The Korean Journal of Emergency Medical Services
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• v.19 no.1
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• pp.19-33
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• 2015

Purpose: The purpose of this study was to improve the quality of prehospital care provided to infants and toddlers (preschoolers) based on questionnaire findings. Methods: A total of 1,634 running sheets from 119 centers of D city from patients older than 1 month and less than 7 years of age from January 1, 2013 to December 31, 2013 were reviewed for 119 emergency medical technicians (EMTs) activity analysis. And a self-reported questionnaire about knowledge and competency in prehospital care of preschoolers was completed by 159 EMTs at fire stations in D city. Data were analyzed using IBM SPSS Statistics for Windows, Version 21.0. Results: Of 1,634 patients, 58.6% were call to 119 due to disease, 33.8% due to injuries and 7.5% due to traffic accident. Knowledge and confidence in treating preschoolers was significantly higher among paramedic EMTs than basic EMTs. The 119 EMTs surveyed indicated that training for preschooler prehospital care was most needed. Conclusion: In order to provide high quality prehospital care for preschoolers transported to emergency rooms, it is necessary to equip ambulances with the proper equipment. In addition, EMTs should be provided educational opportunities and clinical training.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.5 no.11
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• pp.2016-2034
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• 2011

Ubiquitous Healthcare (u-Healthcare) is the intelligent delivery of healthcare services to users anytime and anywhere. To provide robust healthcare services, recognition of patient daily life activities is required. Context information in combination with user real-time daily life activities can help in the provision of more personalized services, service suggestions, and changes in system behavior based on user profile for better healthcare services. In this paper, we focus on the intelligent manipulation of activities using the Context-aware Activity Manipulation Engine (CAME) core of the Human Activity Recognition Engine (HARE). The activities are recognized using video-based, wearable sensor-based, and location-based activity recognition engines. An ontology-based activity fusion with subject profile information for personalized system response is achieved. CAME receives real-time low level activities and infers higher level activities, situation analysis, personalized service suggestions, and makes appropriate decisions. A two-phase filtering technique is applied for intelligent processing of information (represented in ontology) and making appropriate decisions based on rules (incorporating expert knowledge). The experimental results for intelligent processing of activity information showed relatively better accuracy. Moreover, CAME is extended with activity filters and T-Box inference that resulted in better accuracy and response time in comparison to initial results of CAME.

• Knowledge Management Research
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• v.22 no.3
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• pp.75-89
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• 2021

A knowledge map should be able to support the referential navigation of knowledge inquiries, i.e., cross- and sequential searches and queries on content relevance-based associated knowledge. This study performs a user-oriented test to verify which type of knowledge map, hierarchical or networked, exhibits superior performance in supporting knowledge inquiries required for problem solving. Both the effectiveness identified by the correct answer rate and the efficiency identified by the number of completion time and reference documents have been revealed superior performance in the networked knowledge map. This study's result can underpin the basic steps to develop more user-friendly and reasonable knowledge services.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.5
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• pp.1717-1732
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• 2015

The widespread use of location-based services (LBSs), which allows untrusted service provider to collect large number of user request records, leads to serious privacy concerns. In response to these issues, a number of LBS privacy protection mechanisms (LPPMs) have been recently proposed. However, the evaluation of these LPPMs usually disregards the background knowledge that the adversary may possess about users' contextual information, which runs the risk of wrongly evaluating users' query privacy. In this paper, we address these issues by proposing a generic formal quantification framework,which comprehensively contemplate the various elements that influence the query privacy of users and explicitly states the knowledge that an adversary might have in the context of query privacy. Moreover, a way to model the adversary's attack on query privacy is proposed, which allows us to show the insufficiency of the existing query privacy metrics, e.g., k-anonymity. Thus we propose two new metrics: entropy anonymity and mutual information anonymity. Lastly, we run a set of experiments on datasets generated by network based generator of moving objects proposed by Thomas Brinkhoff. The results show the effectiveness and efficient of our framework to measure the LPPM.

• Korean Management Science Review
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• v.18 no.1
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• pp.135-145
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• 2001

In recent environment of dynamic management, there is growing recognition that information and knowledge management systems are essential for efficient/effective decision making by CEO. To cope with this situation, we suggest the Data-Miming scheme as a key component of integrated information and knowledge management system. The proposed system measures business performance by considering both VA(Value-Added), which represents stakeholder’s point of view and EVA (Economic Value-Added), which represents shareholder’s point of view. To mine the new information & Knowledge discovery, we applied the improved genetic algorithms that consider predictability, understandability (lucidity) and reasonability factors simultaneously, we use a linear combination model for GAs learning structure. Although this model’s predictability will be more decreased than non-linear model, this model can increase the knowledge’s understandability that is meaning of induced values. Moreover, we introduce a random variable scheme based on normal distribution for initial chromosomes in GAs, so we can expect to increase the knowledge’s reasonability that is degree of expert’s acceptability. the random variable scheme based on normal distribution uses statistical correlation/determination coefficient that is calculated with training data. To demonstrate the performance of the system, we conducted a case study using financial data of Korean automobile industry over 16 years from 1981 to 1996, which is taken from database of KISFAS (Korea Investors Services Financial Analysis System).

• Journal of Korean Library and Information Science Society
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• v.33 no.1
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• pp.121-141
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• 2002

In this paper, I presented that transformation of library from the collection management to knowledge contents management along with paradigm shift under the web-based multimedia information environment is required. Effective web contents management call maximize users'satisfaction with personal customizing services for library users. Especially, contents customizing service using the metabrowsing service contributes to maximize the user'satisfaction by supplying core contents that the user seeks. In this paper, I studied the scheme of knowledge contents management to increase of user'satisfaction, concentrating on the management factors of web-based multimedia knowledge contents and service strategy.

• Korean Journal of Community Nutrition
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• v.6 no.3
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• pp.354-360
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• 2001

This study was carried out to investigate the present status of nutrition services for infants in public health centers and the need for nutrition services of health workers and infants mothers. The study subjects were 146 health workers and 197 infants mothers. The results were as follows : At present, the only major nutrition services for infants were vaccination and dental care. Proper nutrition management services were available to infants. Nutrition knowledge scores were 16.8 for health workers and 15.3 for mothers out of 20 possible points. Health workers strongly demanded a well-organized nutrition education program, government support, audio-visual materials and the employment of a community nutritionist. The public health workers, in particular, demanded the development of education programs for breastfeeding and weaning. The infants mothers demanded services of nutrition information and teaching of cooking and menu planning. Based on this, the results suggest that the employment of a community nutritionist and the development of practical nutrition service programs for infants are needed very urgently for public health centers.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.1
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• pp.407-420
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• 2015

Natural Language Question Answering (NLQA) and Prescriptive Analytics (PA) have been identified as innovative, emerging technologies in 2015 by the Gartner group. These technologies require knowledge bases that consist of data that has been extracted from unstructured texts. Every business requires a knowledge base for business analytics as it can enhance companies' competitiveness in their industry. Most intelligent or analytic services depend a lot upon on knowledge bases. However, building a qualified knowledge base is very time consuming and requires a considerable amount of effort, especially if it is to be manually created. Another problem that occurs when creating a knowledge base is that it will be outdated by the time it is completed and will require constant updating even when it is ready in use. For these reason, it is more advisable to create a computerized knowledge base. This research focuses on building a computerized knowledge base for business using a supervised learning and rule-based method. The method proposed in this paper is based on information extraction, but it has been specialized and modified to extract information related only to a business. The business knowledge base created by our system can also be used for advanced functions such as presenting the hierarchy of technologies and products, and the relations between technologies and products. Using our method, these relations can be expanded and customized according to business requirements.

• IEMEK Journal of Embedded Systems and Applications
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• v.3 no.4
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• pp.218-228
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• 2008

The convergence of broadcasting and telecommunication services is being accelerated by broadband networks, digital broadcasting and Web2.0. This paper describes the definition and service characteristics of IPTV as a representative of broadcasting and telecommunication convergence services. Especially, the changes of infrastructure and technology for IPTV2.0 are addressed in terms of the service features of mobility, intelligence and participation. IPTV2.0 shall be characterized by the open IPTV service based on Web2.0 and the mobile IPTV service over the heterogeneous networks employing various wireless/wired access technologies. The IP Multimedia Subsystem (IMS) and Service Delivery Platform (SDP) technologies are increasingly considered to support the personalization and openness. The mobility management technology is being evolved to provide QoS-guaranteed mobile communication services to users at anytime and anywhere. IPTV2.0 services and platforms are also anticipated to be core components to achieve knowledge-based ubiquitous society. IPTV2.0 contents are required to be integrated with the enhanced metadata to efficiently support search, selection, convergence and delivery of the contents. Moreover, those contents shall be enhanced to provide the scalable services which is adaptable to the network status and user preferences. Therefore, the networking technologies for IPTV2.0 should tightly cooperate with application services and adaptive contents. Those technologies will be developed to construct the ubiquitous content service platform considering the evolution of networks and various converged services.

• The Korean Journal of Emergency Medical Services
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• v.9 no.2
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• pp.169-180
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• 2005

The purpose of this research was to evaluate retention of cognitive knowledge, psychomotor skills and self-confidence on CPR 3 months after CPR training program. The sample consisted of 39 nursing students. We provided one rescuer CPR training program for nursing college students on the basis of AHA. The questionnaires for knowledge of CPR were developed 50 items based on AHA guidelines. Self-confidence were checked by 11 items questionnaires. The accuracy of CPR skills were checked by Skillreporter CPR training manikin and by researcher's evaluation based on CPR skill checklist. The results were as follows ; 1. The majority of participants didn't have any previously experiences of CPR training (76.9%). Only 15.1% previously took the CPR training with CPR practice. 2. In terms of self-confidence of CPR. The score were increased for 2 days (p>.001) but retention of self confidence was significantly statistical decreased in 3 months after training (p<.001). 3. There was a statistically significant decrement in mean of knowledge of CPR between 2 days and 3 months after CPR training (p<.001). 4. There was a statistically significant decrement in cognitive knowledge of CPR based on CPR skills checklist(p<.001). 5. Retention scores of psychomotor skills of CPR 3 months after training were 42.10% in numbers of adequate ventilation, 52.81% in numbers of adequate chest compression (p<.001) respectively. 6. Retention of passing rate on chest compressions of CPR 3 months after training was 27% (p<.001), on ventilation was 2.63% (p>.001). The error items with statistically significant differences 3 months after CPR training were too little ventilation (74.36%) and too little chest compressions (92.31%). The results of the study suggest that we need further evaluation of course components which could improve retention of CPR for all trainees.