• 한국간호교육학회지
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• 제7권1호
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• pp.143-156
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• 2001

This is a survey in order to provide basic information for smoking cessation teaching as investigate adolescent smoking, stress, family function and vital power. Data collection was done at the high school(12 class) and middle school(12 class) with quota sampling during 2 weeks from October 27, 2000. in the metropolitan area of Taegu. Total subjects of this study were 1710 students. The instruments for this study were the Life Event Checklist, Family APGAR, and vital power item among in the SF-36. Frequency, percentage, t-test, ANOVA, and multiple logistic regression by SPSS/PC Win Ver7.5 program were used to analyze the data. The results of this study were as fellows; 1) The subjects of this study was consisted with middle school student (876, 51.2%) and high school students. The students that they have used smoking at past or current smoker was reported 18.9%. Most of the smoking adolescents reported that they started smoking during middle school age, and there were more smoking rate among vocational high school students than academic high school students. 2) There were more stress among high school, men, and vocational high school. In aspect of family function, there were reported high score among women and middle school. At the vital power, there were reported more score among men students than women students. 3) Current smokers were more likely than nonsmokers to report more stress, low family functioning. 4) In order to identify predicting factor for adolescent smoking, family function and stress were tested significant variables statistically.

• 한국인구학
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• 제12권1호
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• pp.19-29
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• 1989

It is well known that vital statistics is of great importance as basic data for establishing various range of national policies. Especially, vital statistics is important among demographic information for monitoring and evaluating the population policy, for constructing life table, for making population projection, and for studying various aspects of the society. In principle, the production of vital statistics is based on the registration system. It is, however, still observed that there are some limitations in utilizing fully the registration system due to the inherent problems such as problems in its coverage, accuracies and timeliness. Thus, as an alternative, many countries conduct survey on vital statistics in order to supplement the registration system and obtain in-depth data. Korea is no exception in this aspect. The National Bureau of Statistics carries out the so-called Continuous Demographic Survey. This is a kind of multi-round retrospective survey, covering 32, 000 households and having reference period of one month. The survey has also characteristics of multi-subject sample. Thus, surveys on economic activity status of population, house-hold income & expenditure, and social indicators are together conducted with the same sample. It is, however, found that the survey itself tends to have some quality problems. Especially, the quality problems connected with field data collection are summarized as coverage error, non-response error and response error. Although it is inevitable not to be free from these errors, we should make all our efforts to reduce the errors. The probable schemes pointed out in this paper are as follows : 1) the strengthening formal quality control activities, 2) the review of the survey method, i. e., the combining interview method with mail-sending and mail-back method or pick-up method, 3) well documentation for various cases found in every stage of data collection, and 4) the strengthening the analytical activities. It is, also, emphasized that sincerity of planners and interviewers is the most important factor among other things.

• 한국전자통신학회논문지
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• 제4권3호
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• pp.230-235
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• 2009

분산 네트워크 시스템에서 실시간 객체 지향 모델 TMO를 이용하여 메시지를 실시간으로 전송하기 위해 시간 구동과 메시지 구동(TMO : Time-triggered Message-triggered Object Model)에 대한 구조를 일반적인 형태의 구조로 모델링 하였으며, 이러한 모델링은 분산된 실시간 통신 객체와 비실시간 객체를 포함하여야 한다. 메시지 구동 메소드와 시간 구동 메소드를 모든 객체 구조 형태에 적용함으로서 메시지를 실시간적으로 전송할 수 있다. 본 논문에서는 이러한 TMO 구조를 이용하여 실시간 통신을 하기 위해 ICU(Intensive Care Unit)환자 모니터 원격진료 시스템 응용 환경에 적용하였다. ICU의 Central Monitor로부터 전송되어진 환자의 생체정보 Raw Data가 HIS의 TMO 파싱 데이터 수신 모듈을 통해 사용가능한 데이터로 재구성될 수 있도록 설계가 이루어져 있다.

• 디지털산업정보학회논문지
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• 제6권4호
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• pp.57-65
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• 2010

Application of WBAN technology in medical field facilitates the prevention of diseases by collecting the vital signs remotely. It also enables to prevent the accidental emergency situation in advance plus long-tem monitoring of patients with chronic diseases such as heart diseases, hypertension, or the elderly and infirm. For emergency patients, major vital signal information collected by the 'Sensing' should have the top priority and such information should be transferred as promptly as possible without competition. In addition, when an emergency occurs to a patient, a priority mechanism is necessitated for a urgent message to get through to the final destination. However, LR-WPAN IEEE 802.15.4 technology does not consider such emergency message handling features. To deal with aforementioned issues, the IEEE 802.15.4 super frame protocol structure has been designed for stable transfer of emergency information in WBAN environment in this study, and alternation to super frame structures have been made, allowing GTS(Guaranteed Time Slot) can be used first at CFP (Contention Free Period) by reserving the resources in advance and prioritize the emergency signals. NS-2 has been utilized for the performance test and analysis.

• 인터넷정보학회논문지
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• 제17권6호
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• pp.113-122
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• 2016

Information and Communication Technology (ICT) has revolutionized the world and has profound impact on the social and economic development of a country. Implementation, practice and accessibility of ICT is viewed as an integral part of any countries' strategy today. These new technologies are becoming popular due to their ability to produce, distribute and provide instant access to massive information in no time. ICT has pervaded almost every aspect of human endeavor that may include health, education, economics, governance, entertainment etc. Tourism is one such vital industry that find enormous application of ICT in its strategic and operational level, to promise long term benefits and enhance economic growth. Tourism industry in western world and some developed countries of Asia have applied ICT for more than 30 years, and have gained tremendous benefits. Nepal which is also growing as one of the favourite tourist destinations lacks proper implementation of ICT in this industry. In our study we examined how the ICT can play a vital role in developing the tourism industry of Nepal. This study is an exploratory research based on primary data collected from tourist visiting Nepal, supported by information from tour operators, government agencies, NGOs and INGOS. A framework is devised on the basis of data and information collected and finally, discussions elaborate on the prospect and challenges of implementation of ICT in tourism industry of $Nep{\grave{a}}l$.

• 정보처리학회논문지:컴퓨터 및 통신 시스템
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• 제3권10호
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• pp.371-376
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• 2014

u-Healthcare에서는 다양한 생체 정보를 지속적으로 수집하는 것이 필요하다. 이를 위해 센서와 서버 간의 효율적인 네트워크 환경으로써 IoT가 고려된다. 본 논문에서는 이러한 IoT 환경에 적합한 전송 방식 및 압축 알고리즘을 제안하였다. 결과는 기존의 압축 알고리즘 및 선행연구들과 비교하였다. 결과에서 본 논문에서 제안하는 알고리즘의 압축효율이 11.7이 됨을 알 수 있었다.

• Restorative Dentistry and Endodontics
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• 제46권3호
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• pp.40.1-40.12
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• 2021

Objectives: The purpose of this study was to critically evaluate the quality, reliability and educational content of the information of vital pulp treatment videos available on YouTube. Materials and Methods: The keywords "pulpotomy" and "pulp capping" were searched on YouTube on 5th July 2020, until 60 English language videos of each search term with a duration shorter than 15 minutes were acquired. Video characteristics were recorded and Video Power Index (VPI) was calculated. Reliability and educational quality of videos were evaluated using the Modified DISCERN score, the Journal of American Medical Association (JAMA) benchmark criteria and Global Quality Scores (GQS). Videos were categorized by uploading source. Results: Regarding pulpotomy, 31.7% of the videos were uploaded by specialists and 68.3% were directed by non-specialists. In the case of pulp capping, the corresponding percentages were 45% and 55%, respectively. Videos uploaded by specialists had significantly higher modified DISCERN, JAMA and GQS scores compared to those uploaded by non-specialists. Endodontists tended to have the highest reliability and VPI scores. Conclusions: YouTube videos on vital pulp treatment contain low educational quality or incomplete information. Low popularity of dental pulp capping and pulpotomy videos may be attributed to the specialized nature of these procedures. As YouTube represents an important source for patient information about different health topics, reliable informative videos should be uploaded by specialized dental professionals.

• 한국산업정보학회:학술대회논문집
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• 한국산업정보학회 2000년도 추계공동학술대회논문집
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• pp.131-167
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• 2000

Top CEO Priorities 1. Increasing Globalization(94%) 2. Improving Knowledge Management(88%) 3. Reducing Cost and Cycle Time(79%) 4. Improving Supply Chains Globally(78%). "Personally, I believe that future leadership companies and future leadership institutions of all kinds will be those that know how to compete and win on the basis of knowledge-learning, adapting and improving this vital asset we know as information."(omitted)

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2006년도 춘계종합학술대회
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• pp.426-429
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• 2006

노약자나 만성질환자를 위하여 가정에서 분산된 무선센서네트워크 노드를 사용하는 헬스케어 모니터링 시스템을 설계 및 제작하였다. 본 시스템은 가장 중요한 건강 파라메터인 ECG와 체온을 측정하도록 설계되었으며, 무선센서 노드를 사용하여 원격지의 병원서버 또는 의사의 PC, PDA에 연결된 베이스스테이션으로 Ad-hoc 네트워크를 통해 환자 또는 노인의 건강정보를 전송하는 시스템 구현에 목적을 두고 있다. 본 시스템을 통해 환자의 의료장비 비용을 절약 할 수 있을 뿐만 아니라 센서 노드는 무선센서네트워크의 강점인 Ad-hoc 통신이 가능하면서 저전력으로 동작하여 배터리의 수명을 연장할 수 있는 특징을 가진다. 또한, 병원의 한층 전체의 환자나 여러 환자가 거주하는 가정 또는 시설에서 하나의 PC(또는 서버컴퓨터)로 시스템 구성이 가능하도록 시스템을 구현함으로서 베이스스테이션에서 멀리 떨어져 있는 환자의 생체 신호도 Ad-hoc 네트워크를 통해 베이스스테이션까지 전송이 가능하였으며, 이동성 제공 및 홈 환경에서 사용자에게 편리함을 가져올 수 있으리라 예상된다.

• IEIE Transactions on Smart Processing and Computing
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• 제5권6호
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• pp.430-439
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• 2016

Estimation and analysis of traffic jams plays a vital role in an intelligent transportation system and advances safety in the transportation system as well as mobility and optimization of environmental impact. For these reasons, many researchers currently mainly focus on the brilliant machine learning-based prediction approaches for traffic prediction systems. This paper primarily addresses the analysis and comparison of prediction accuracy between two machine learning algorithms: Naïve Bayes and K-Nearest Neighbor (K-NN). Based on the fact that optimized estimation accuracy of these methods mainly depends on a large amount of recounted data and that they require much time to compute the same function heuristically for each action, we propose an approach that applies multi-threading to these heuristic methods. It is obvious that the greater the amount of historical data, the more processing time is necessary. For a real-time system, operational response time is vital, and the proposed system also focuses on the time complexity cost as well as computational complexity. It is experimentally confirmed that K-NN does much better than Naïve Bayes, not only in prediction accuracy but also in processing time. Multi-threading-based K-NN could compute four times faster than classical K-NN, whereas multi-threading-based Naïve Bayes could process only twice as fast as classical Bayes.