• Journal of Korean Academy of Fundamentals of Nursing
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• v.7 no.1
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• pp.122-136
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• 2000

Stroke patient needs rehabilitation after receiving an acute treatment in a hospital. When stroke patient gets involved in an early discharge program, home care nurse plays a pivotal role to make them to gain a full strength and to come back to his/her prior life before he/she is sick. In spite of the importance of home care nursing intervention protocol for home care nurses to perform home care nursing autonomously, home care nursing intervention protocol for stroke patient is rarely developed. Therefore this study was conducted to develop home care nursing protocol that is applicable for stroke patients in home care nursing area. 41 home care nursing charts for stroke patients registered in home care nursing agencies from December 1st 1994 to August 31st 1999 at Y hospitals in Seoul and Won-Ju city were analyzed. 44 home care nurses who were having over three years' experience on stroke patients were participated in this study as a user validity validation group. The results of this study are as follows. 1. 28 nursing diagnoses were selected on the basis of evaluation of nursing diagnoses of stroke patients presented in a previous literature and case studies on home care nursing. 2. 17 nursing diagnoses were classified through the frequency analysis of home care nursing charts for 41 stroke patients who had received home care nursing. The order of sequence was like these: impaired skin integrity, risk for infection, nutritional deficit, impaired physical mobility, constipation, knowledge deficit, ineffective airway clearance, anxiety in family members, risk for aspiration, self care deficit, altered urinary elimination, ineffective individual coping, social isolation, risk for injury, self-esteem disturbance, impaired verbal communication, fatigue of family caregiver. 3. Based on validation on expert and user validities, 44 nursing interventions which were above ICV=.80 were chosen. 4. Nursing intervention protocols which showed above ICV=.90 were developed and were like these; pressure ulcer care, position change, preventive care for circulatory dysfunction, tube care : catheter, vital sign monitor, constipation/impaction management, artificial airway management, suction of airway secretion, environmental management : safety, and fall prevention.

• Journal of Home Health Care Nursing
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• v.8 no.1
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• pp.25-37
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• 2001

Spinal cord injury patients need rehabilitation after the acute stage. They should be cared for at home to decrease hospitalization. Home care nurses play an important role in making spinal cord injury patients who have physical. and psychosocial problems do their best. For effective care, home care nurses need standardized nursing intervention protocols for spinal cord injury patients, but they are rarely developed. Therefore, this study was conducted to develop home care nursing protocols, based on NIC, that are applicable to spinal cord injury patients at home. Forty home care nursing charts of spinal cord injury patients registered in a home care nursing agency from July 1st, 1994 to August 31st, 1999 in S city were analyzed. Fifteen home care nurses participated in this study as a user validity validation group, The results of this study are as follows. 1. Fifteen nursing diagnoses were classified through the frequency analysis of home care nursing charts and previous literature for 40 spinal cord injury patients: altered urinary elimination, constipation, high risk for impaired skin integrity, chronic pain, impaired skin integrity, impaired social interaction, knowledge deficit, bowel incontinence, high risk for injury, altered role performance, care giver role strain, impaired physical mobility, sexual dysfunction, dysreflexia, and ineffective breathing pattern. 2. Based on validation by experts and user validities, 93 nursing interventions which were above ICV(Index of Content Validity) .80 were chosen. 3. Nursing intervention protocols which showed above ICV .80 were developed.

• Journal of the Ergonomics Society of Korea
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• v.23 no.2
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• pp.105-120
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• 2004

With the new technology and the popularization of mobile phone. the functions and designs of mobile phone have been varied rapidly. However. based on the user's level of familiarity on mobile phone function and knowledge of information technology. the using behaviors of mobile phone. especially between the young users who are well acquainted with the latest function and technology and the over middle-aged users who are relatively not. would be quite different. A survey was conducted to investigate the various using behaviors of mobile phone in different age groups. The total number of six hundred and sixty-seven people from age seventeen to sixty participated in this study. The participants were divided into young group (age between 17 to 29) and the over middle-aged group (age between 40 to 60) to compare the difference group considered design. price. and function of the mobile phone as three important factors. on the other hand. the over middle-aged group considered quality of communication. price and ease of use as three important factors. All the respondents of the young group know how to use the text messaging function. however for the over middle-aged group. 40% of the respondents knows how to use the text messaging function. The over middle-aged group seemed mainly use the mobile phone for voice communication. however the young group had a tendency to communicate each other with short text message rather than through voice conversation. Twenty percentage of young group responded that they had an experience of pain or discomfort at the thumb. the thenar eminence area. or carpus area during pushing the mobile phone keypad. The excessive frequent use of keypad may cause the risk of repetitive strain injury (RSI). The results of this study could provide important information to understand the way of using mobile phone in different age groups. and also could be used to design and market the mobile phone.

• Journal of The Korea Institute of Healthcare Architecture
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• v.28 no.2
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• pp.7-16
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• 2022

Purpose: This study aimed to present an analysis model evaluating evacuation performance considering patient types and procedural evacuation in the medical facility. The user group of the medical facility, including users challenged in evacuation behavior, entails the risk of many casualties. Therefore, it is necessary to plan an evacuation procedure that considers the evacuation characteristics of users. Methods: Through the review of precedent studies, the evacuation procedure of the medical facility, the classification of patient types, and the evacuation procedure was set as conditions and variables for the analysis. The result caused by a variety of conditions and variables were explored. Results: 1) The total evacuation completion time and congestion time were shortened at the procedural evacuation. Moreover, it derived many users from evacuating at the initial phase. 2) The proposed model can provide a basis for proposing a space planning direction that considers the possibility of not carrying out the evacuation plan. 3) It supports safe evacuation by identifying variables that reduce overcrowding by comparing the congestion time of overcrowded spaces. 4) The analysis model can identify the overcrowded space through the evacuation route and suggest the basis for architectural improvements that reduce overcrowding. Implications: The study results can be used to analyze the performance of evacuation procedures and support the establishment of evacuation procedures and building plans for safe evacuation for medical facilities.

• Informatization Policy
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• v.19 no.4
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• pp.63-82
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• 2012

The world's best level of ICT(Information, Communication and Technology) infrastructure has experienced the world's worst level of ICT accident in Korea. The number of major accidents of privacy invasion has been three times larger than the total number of Internet user of Korea. The cause of the severe accident was due to big data environment. As a result, big data environment has become an important policy agenda. This paper has conducted analyzing the accident case of data spill to study policy issues for ICT security from a social science perspective focusing on risk. The results from case analysis are as follows. First, ICT risk can be categorized 'severe, strong, intensive and individual'from the level of both probability and impact. Second, strategy of risk management can be designated 'avoid, transfer, mitigate, accept' by understanding their own culture type of relative group such as 'hierarchy, egalitarianism, fatalism and individualism'. Third, personal data has contained characteristics of big data such like 'volume, velocity, variety' for each risk situation. Therefore, government needs to establish a standing organization responsible for ICT risk policy and management in a new big data era. And the policy for ICT risk management needs to balance in considering 'technology, norms, laws, and market'in big data era.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.29 no.3
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• pp.358-367
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• 2019

Objectives: This study aimed to review model algorithms and input parameters applied to some exposure models and to compare the simulated estimates using an exposure scenario from each model. Methods: A total of five exposure models which can estimate inhalation exposure were selected; the Korea Ministry of Environment(KMOE) exposure model, European Centre for Ecotoxicology and Toxicology of Chemicals Targeted Risk Assessment(ECETOC TRA), SprayExpo, and ConsExpo model. Algorithms and input parameters for exposure estimation were reviewed and the exposure scenario was used for comparing the modeled estimates. Results: Algorithms in each model commonly consist of the function combining physicochemical properties, use characteristics, user exposure factors, and environmental factors. The outputs including air concentration ($mg/m^3$) and inhaled dose(mg/kg/day) are estimated applying input parameters with the common factors to the algorithm. In particular, the input parameters needed to estimate are complicated among the models and models need more individual input parameters in addition to common factors. In case of CEM, it can be obtained more detailed exposure estimates separating user's breathing zone(near-field) and those at influencing zone(far-field) by two-box model. The modeled exposure estimates using the exposure scenario were similar between the models; they were ranged from 0.82 to $1.38mg/m^3$ for concentration and from 0.015 to 0.180 mg/kg/day for inhaled dose, respectively. Conclusions: Modeling technique can be used for a useful tool in the process of exposure assessment if the exposure data are scarce, but it is necessary to consider proper input parameters and exposure scenario which can affect the real exposure conditions.

• Korean Journal of Community Nutrition
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• v.29 no.4
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• pp.278-287
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• 2024

Objectives: This study investigates the relationship between smartphone usage and eating behavior among elementary school students. Methods: This survey was conducted on 4th- to 6th-grade students at elementary schools in Gangneung from September 6th to September 15th, 2023. Of the 129 copies of the questionnaire that were distributed to 5 schools, 66 copies (51.2%) were returned. Results: Compared to the nationwide statistics, the smartphone ownership rate of elementary school students in Gangneung was lower, but the rate of smartphone overdependence was higher. Smartphone dependence was 21.12 points for study subjects and 26.00 points for the overdependence risk group (Org). Compared to national statistics, the self-control failure factor was higher, so study participants in Gangneung City are thought to have great difficulty with self-control. The Org's weekend smartphone use time of 7.54 hours was significantly more than the general user group (Gug)'s 4.06 hours. The number of days in which the Org consumed late-night snacks per week was 2.92 days, and the Gug had 2.15 days, but the difference was not significant. Eating fast food showed a positive correlation with eating sweet food, eating fatty food, and eating heavily seasoned food. It was found that frequent consumption of fast food is closely correlated with unhealthy eating behavior. Weekend smartphone use time showed a significant positive correlation with smartphone dependence and the number of days late-night snacks consumed per week. Conclusions: Study participants in Gangneung are more dependent on smartphones than national statistics. Smartphone dependence had a negative correlation with healthy eating behavior and a correlation with average unhealthy eating behavior.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.21 no.2
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• pp.87-94
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• 2010

Objectives : This study was aimed at investigating the relationship between internet game addiction and emotional and behavioral characteristics of students both in the 5th and 6th grade of elementary school and in middle school. Methods : Two elementary schools and two middle schools were chosen to participate. The students completed selfreport questionnaires designed by the authors, called the Internet Game Addiction Scale, Korean youth self-report (K-YSR). Results : Compared to previous studies, the rates of those in the obvious game addiction group were much lower in this study. We defined the upper 10% of internet game addiction scores as a high risk user group and the lower 10% as a control group. There were significant differences between the groups with respect to the the ages at which internet gaming began, the frequency of game play per week, and the average length of each game playing session. Significant associations were also found between the level of internet game addiction and the withdrawn and delinquency subscales of the K-YSR. However, the association between game addiction and the withdrawn subscale was found only in middle school students. Conclusion : The findings from this study suggested that withdrawn and delinquent behaviors could be predictors of internet game addiction. Results also suggested the importance of early childhood intervention for preventing the development of more severe psychopathology in early adolescence.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.41 no.11
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• pp.1661-1670
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• 2016

In this paper, we present a risk prediction system and customized evacuation pathfinding algorithm in fire scenarios. For the risk prediction, we apply a multi-level clustering mechanism using collected temperature at sensor nodes throughout the network in order to predict the temperature at the time that users actually evacuate. Based on the predicted temperature and its reliability, we suggest an evacuation pathfinding algorithm that finds a suitable evacuation path from a user's current location to the safest exit. Simulation results based on FDS(Fire Dynamics Simulator) of NIST for a wireless sensor network consisting of 47 stationary nodes for 1436.41 seconds show that our proposed prediction system achieves a higher accuracy by a factor of 1.48. Particularly for nodes in the most reliable group, it improves the accuracy by a factor of up to 4.21. Also, the customized evacuation pathfinding based on our prediction algorithm performs closely with that of the ground-truth temperature in terms of the ratio of safe nodes on the selected path, while outperforming the shortest-path evacuation with a factor of up to 12% in terms of a safety measure.

• Journal of Intelligence and Information Systems
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• v.16 no.4
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• pp.1-19
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• 2010

In offline environment, unlike traditional advertising model through TV, newspaper, and radio, online advertising model draws instantaneous responses from potential consumers and it is convenient to assess. This kind of characteristics of Internet advertising model has driven the growth of advertising model among various Internet business models. There are, conventionally classified, CPM (Cost Per Mile), CPC (Cost Per Click), and CPS (Cost Per Sales) models as Internet advertising expenditure model. These can be examined in manners regarding risks that stakeholders should stand and degree of responsibility. CPM model that is based on number of advertisement exposure is mechanically exposed to users but not actually recognized by users resulting in risk of wasted expenditure by advertisers without any advertising effect. While on aspect of media, CPS model that is based on conversion action is the most risky model because of the conversion action such as product purchase is determined by capability of advertisers not that of media. In this regard, while there are issue of CPM and CPS models disadvantageously affecting only one side of Internet advertising business model value network, CPC model has been evaluated as reasonable both to advertisers and media, and occupied the largest segment of Internet advertising market. However, CPC model also can cause fraudulent behavior such as click fraud because of the competition or dishonest amount of advertising expenditure. On the user aspect, unintentionally accessed advertisements can lead to more inappropriate expenditure from advertisers. In this paper, we suggest "CPCD"(Cost Per Coupon Download) model. This goes beyond simple clicking of advertisements and advertising expenditure is exerted when users download a coupon from advertisers, which is a concept in between CPC and CPS models. To achieve the purpose, we describe the scenario of advertiser perspective, processes, participants and their benefits of CPCD model. Especially, we suggest the new value in online coupon; "possibility of storage" and "complement for delivery to the target group". We also analyze the working condition for advertiser by a comparison of CPC and CPCD models through advertising expenditure simulation. The result of simulation implies that the CPCD model suits more properly to advertisers with medium-low price products rather than that of high priced goods. This denotes that since most of advertisers in CPC model are dealing with medium-low priced products, the result is very interesting. At last, we contemplate applicability of CPCD model in ubiquitous environment.