• 지구물리
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• 제7권1호
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• pp.61-72
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• 2004

실시간으로 수집된 환경방사능 데이터 및 차량위치정보를 무선통신망을 통해 전송 받아 지도 상에 표출하고 핵종별 수집시간대별 분석 및 차량 위치별 수집데이터 분석 등의 통계분석기능과 결과물의 문서출력기능을 지원하고 다수의 감시차량 관제 및 관리가 가능한 서버 클라이언트 환경의 환경방사능 감시 차량관제 시스템을 개발하였다

• Wind and Structures
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• 제22권4호
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• pp.393-408
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• 2016

Weibull distribution is a suitable distribution to use in modeling the life time data. It has been found to be a exact fit for the empirical distribution of the wind speed measurement samples. In brief this paper consist of important properties and characters of Weibull distribution. Also we discuss the application of Weibull distribution to wind speed measurements and derive an expression for the probability distribution of the power produced by a wind turbine at a fixed location, so that the modeling problem reduces to collecting data to estimate the three parameters of the Weibull distribution using Maximum likelihood Method.

• 성인간호학회지
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• 제26권5호
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• pp.500-511
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• 2014

Purpose: The purpose of this study was to investigate predictors of violent behavior by patient or caregiver of patient in the emergency department. Methods: Subjects of the study were 447 residents who have visited the emergency department in community P Metropolitan City during the past year. The data collecting period was from June 1, 2012 to August 31, 2012. Data was collected using self-reported questionnaires. Results: Predictors of violent behavior in the emergency department were divided into personal and institutional factors. Personal factors included relationship with patients, presence of alcohol, reports of discontent during and past treatment and responses to deterioration in patient's conditions, institution factors included perceived attitudes toward medical workers' explanations and proficiency of medical workers, and delay in medical treatment hours. Conclusion: Knowledge of personal and institutional factors may permit emergency staff to minimize or prevent potential violence in the emergency department.

• International journal of advanced smart convergence
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• 제6권3호
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• pp.59-64
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• 2017

A wireless sensor network is a network in which nodes equipped with sensors capable of collecting data from the real world are configured wirelessly. Because the sensor nodes are configured wirelessly, they have limited power such as batteries. If the battery of the sensor node is exhausted, the node is no longer usable. If more than a certain number of nodes die, the network will not function. There are many wireless sensor network protocols to improve energy efficiency, among which LEACH Protocol is a typical example. The LEACH protocol is a cluster-based protocol that divides sensor space into clusters and transmits and receives data between nodes. Therefore, depending on how the cluster is structured, the shape of the energy cow may decrease or increase. We compare the network lifetimes of the existing LEACH protocols and the three types of protocols that have been improved using fuzzy methods for cluster selection.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2017년도 제55차 동계학술대회논문집 25권1호
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• pp.57-58
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• 2017

사물인터넷 환경의 다양한 기기에서는 매초마다 시스템 로그 데이터, 온도, 습도, 조도 및 위치 정보 등과 같은 데이터를 지속적으로 생성한다. 이렇게 생성된 데이터는 기기 안에서 대부분 소멸되거나 수집된다 하더라도 시스템 개선의 일부 목적으로 활용하는데 그칠 뿐이다. 본 논문에서는 각각의 사물인터넷 기기에서 발생하는 비정형 데이터를 스트리밍 방식을 통해 수집 서버로 전송하고 이를 유연한 스키마 구조를 가지는 NoSQL 데이터베이스에 적재하는 프레임워크 설계를 제안한다. 이렇게 수많은 장비로부터 수집된 로그 및 센싱 데이터는 빅데이터 분석을 통해 산업의 현장에서 생산성 향상을 위해 사용할 수 있으며 공공의 목적으로 도심지의 교통문제 해소와 재난 및 재해 예측에 활용될 수 있다.

• 보건의료산업학회지
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• 제4권2호
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• pp.85-95
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• 2010

This study was to understand perception level and education need on hospice, and to development effective education contents of hospice for medical students. Descriptive survey research design was used. Participants were 426 and the data collecting period was from July. 22. to July. 29. in 2008. The data were analyzed using descriptive analysis, chi-square test, Wilcoxon's signed rank test. The participants experiencing in hospice education program demonstrated higher perception level and education need about hospice than non-participants. Also, The participants experiencing in hospice education showed more concerning on effective education contents of hospice than non-participants. Therefore, hospice education program must be prepared in a continual and systematic way in order to provide for effective education of medical students in Korea.

• 대한가정학회지
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• 제45권6호
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• pp.1-9
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• 2007

Even though self-confidence is a personal factor of a people, it works as behavioristic factor in consumer behavior. In this study, the influence of consumer self-confidence on clothing purchase behavior was investigated. A total of 284 data sets were analyzed after collecting questionnaires from college students in Seoul using convenient sampling method. For data analysis, chi-square test, analysis of variance, reliability test and factor analysis were performed by SPSSWIN program. The results were as followed. First, the clothing purchase places were affected by the consumers' level of self-confidence. The more confident consumers preferred internet shopping and Dongdaemun market to large-scale shops. The discount stores were selected by the less confident consumers. Second, information search was one of the main reasons to visit internet shopping mall by the more confident consumers. Third, the more confident consumers showed the higher level of clothing involvement than the less confident consumers. Finally, unplanned purchases, such as pure impulse buying and reminder buying were more likely to occur by the more confident consumers with less purchase conflicts.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2019년도 추계학술대회
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• pp.230-232
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• 2019

There is an accelerating need for ocean sensing where autonomous vehicles can play a key role in assisting engineers, researcher and scientists with environmental monitoring and collecting oceanographic data. This paper is performed to develops an autonomous sailing drone to be used as a sensor carrying platform for autonomous data acquisition at Sea. From a sailing drone design viewpoint, it is important to establish reliable prediction methods for sailing drone's resistance. The required power for the propulsion unit depends on the ship resistance and speed. There are three solutions for the prediction of ship resistance as follow analytical methods, model tests in tanks and Computational Fluid Dynamics (CFD). The present paper aims at simulating sailing drone friction resistance using numerical method. The dynamic mesh motion is used to describe the sailing drone movement.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2012년도 춘계 학술논문 발표대회
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• pp.301-302
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• 2012

Recently, high-rise building projects have been in the spotlight in South Korea. Curtain wall construction, as one of important operations in the high-rise building projects is composed of various, entangled and complex unit processes that require a systematic planning to prevent unexpected delays. A schedule simulation technique has been used for deriving more efficient planning and accurate performance measurement. However, the simulation technique has difficulty in collecting actual data and in applying data fluctuations during construction. Thus, this paper suggests a concept model of Modular Simulation Model(MSM) that overcomes such limitations of traditional simulation technique based on curtain wall operations.

• 대한의용생체공학회:의공학회지
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• 제29권5호
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• pp.348-354
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• 2008

Segmenting vessels in lower extremity CT images is very difficult because of gray level variation, connection to bones, and their small sizes. Instead of segmenting vessels, we propose an approach that segments bones and subtracts them from the original CT images. The subtracted images can contain not only connected vessel structures but also isolated vessels, which are very difficult to detect using conventional vessel segmentation methods. The proposed method initially grows a 3-dimensional (3D) volume with a seeded region growing (SRG) using an adaptive threshold and then detects junctions and forked branches. The forked branches are classified into either bone branches or vessel branches based on appearance, shape, size change, and moving velocity of the branch. The final volume is re-grown by collecting connected bone branches. The algorithm has produced promising results for segmenting bone structures in several tens of vessel-enhanced CT image data sets of lower extremities.