• Journal of Convergence for Information Technology
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• v.9 no.12
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• pp.190-197
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• 2019

The purpose of this study was conducted as a basic data for the formation of a correct job value and to investigate the relationship between lifestyles and their job value in the dental hygiene students. A self-reported questionnaire was completed by 237 dental hygiene students in Seoul city from September 1 to 30, 2018. The data were analyzed by t-test, one way ANOVA, Pearson's correlation. regression analysis. There were lifestyles(3.27), job value(3.77) in subject. The faster birth order, the higher tended to have the internal job value(p<.05). The challenge·adventure, family-oriented lifestyles were were higher in female(p<.05). In order for college students' lifestyles to have a positive meaning on job values, it is necessary to apply job values education, career aptitude tests, and application of individual counseling programs.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.35 no.3
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• pp.679-690
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• 2015

The need to remove the cause of traffic accidents by improving the engineering system for a vehicle and the road in order to minimize the accident hazard. This is likely to cause traffic accident continue to take a large and significant social cost and time to improve the reliability and efficiency of this generally poor road, thereby generating a lot of damage to the national traffic accident caused by improper environmental factors. In order to minimize damage from traffic accidents, the cause of accidents must be eliminated through technological improvements of vehicles and road systems. Generally, it is highly probable that traffic accident occurs more often on roads that lack safety measures, and can only be improved with tremendous time and costs. In particular, traffic accidents at intersections are on the rise due to inappropriate environmental factors, and are causing great losses for the nation as a whole. This study aims to present safety countermeasures against the cause of accidents by developing an intersection Traffic safety evaluation model. It will also diagnose vulnerable traffic points through BPA (Back -propagation algorithm) among artificial neural networks recently investigated in the area of artificial intelligence. Furthermore, it aims to pursue a more efficient traffic safety improvement project in terms of operating signalized intersections and establishing traffic safety policies. As a result of conducting this study, the mean square error approximate between the predicted values and actual measured values of traffic accidents derived from the BPA is estimated to be 3.89. It appeared that the BPA appeared to have excellent traffic safety evaluating abilities compared to the multiple regression model. In other words, The BPA can be effectively utilized in diagnosing and practical establishing transportation policy in the safety of actual signalized intersections.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.4A
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• pp.332-340
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• 2010

In this paper, we deal with multi-user diversity scheduling methods that transmit simultaneously signals from multiple users using superposition coding multiplexing. These methods can make various scheduling methods be obtained, according to strategies for user selection priority from the first user to the first-following users, strategies for per-user power allocation, and resulting combining strategies. For the first user selection, we consider three strategies such as 1) higher priority for a user with a better channel state, 2) following the proportional fair scheduling (PFS) priority, 3) higher priority for a user with a lower average serving rate. For selection of the first-following users, we consider the identical strategies for the first user selection. However, in the second strategy, we can decide user priorities according to the original PFS ordering, or only once an additional user for power allocation according to the PFS criterion by considering a residual power and inter-user interference. In the strategies for power allocation, we consider two strategies as follows. In the first strategy, it allocates a power to provide a permissible per-user maximum rate. In the second strategy, it allocates a power to provide a required per-user minimum rate, and then it reallocates the residual power to respective users with a rate greater than the required minimum and less than the permissible maximum. We consider three directions for scheduling such as maximizing the sum rate, maximizing the fairness, and maximizing the sum rate while maintaining the PFS fairness. We select the max CIR, max-min fair, and PF scheduling methods as their corresponding reference methods [1 and references therein], and then we choose candidate scheduling methods which performances are similar to or better than those of the corresponding reference methods in terms of the sum rate or the fairness while being better than their corresponding performances in terms of the alternative metric (fairness or sum rate). Through computer simulations, we evaluate the sum rate and Jain’s fairness index (JFI) performances of various scheduling methods according to the number of users.

• Journal of the Korea Society for Simulation
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• v.17 no.4
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• pp.249-257
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• 2008

This paper shows the Applied Q-learning Algorithm which supports selecting the waiting position of a robot and the part serviced next in the Flexible Manufacturing Cell (FMC) that consists of one robot and various types of facilities. To verify the performance of the suggested algorithm, we design the general FMC made up of single transfer robot and multiple machines with a simulation method, and then compare the output with other control methods. As a result of the analysis, the algorithm we use improve the average processing time and total throughputs as well by increasing robot utilization, reversely, by decreasing robot waiting time. Furthermore, because of ease of use compared with other complex ways and its adoptability to real world, we expect that this method contribute to advance total FMC efficiency as well.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.2
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• pp.841-846
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• 2011

Presently, the level of service(LOS) of the domestic roads are evaluated by using average speed of passing by vehicles. However, this method has been designed by considering the degree of congestion on the road only, without considering the reality of traffic safety. Therefore, for the LOS to serve as an index evaluating proper road design and operation, it should be able to deal with wider coverage than known factors which directly affects road users. Therefore the study wants to explore the concept of user cost, as a factor that covers traffic safety and flow, for evaluating roads. Also, the study wants to develop UML based user-centric design, not a one-time development method, for evaluating risk order of roads.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.371-371
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• 2012

연속된 강우 관측 자료로부터 강우사상을 분리하는 것은 수문 분석에서 매우 기초적인 부분이다. 하지만 이를 분리하는 표준적인 방법은 아직 정해진 것이 없다. 보편적으로 강우사상의 분리에 강우사상간 (무강우)시간정의(IETD; Inter-event Time Definition)을 사용하고 있으며, 이는 강우사상간 최소 (무강우)시간(MIT; Minimum Inter-event Time, 이하 '강우사상간 최소 무강우 시간' 이라고 함.)이라고도 한다. 강우사상간 최소 무강우 시간을 결정하기 위해 사용되는 방법으로는 자기 상관계수를 이용하는 방법과 순위상관계수를 이용하는 방법, 강우사상간 무강우시간에 대한 변동계수를 이용하는 방법, 연간 호우 발생수를 이용하는 방법 등이 있다. 본 연구에서는 한강수계 강우의 강우사상간 최소 무강우 시간을 고찰하기 위해 한강수계 국토해양부에서 운영 중인 한강수계 강우관측소의 자료를 대상으로 앞서 제시한 4가지 방법을 적용하여 각 방법 간의 차이를 비교하여 보았으며, 더불어 개별 강우관측소의 자료와 티센망을 이용한 유역평균강우량을 사용했을 때 강우사상간 최소 무강우 시간의 차이를 비교하여 보았다.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.221-224
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• 2019

본 논문에서는 엣지 컴퓨팅을 무인 마켓에 도입하여 엣지 컴퓨팅의 효율성을 확인하고, 로컬 네트워크의 효율적인 대역폭 할당을 위한 두 가지 방법을 제안한다. 무인 마켓과 같이 엄청난 양의 데이터를 필요로 하고 만들어내는 서비스에서는 데이터들을 클라우드로 전송하여 소비자가 불편함을 느끼지 못하도록 빠르게 처리하는 것은 불가능에 가깝다. 그래서 우리는 Amazon Go 를 벤치마킹한 무인 마켓에 엣지 컴퓨팅을 도입하여 이를 구현한다. 그리고 구현한 시스템에서 엣지 컴퓨팅 외에 클라우드 컴퓨팅, 모바일 장치를 적용하여 처리할 때의 응답 시간을 분석하여 엣지 컴퓨팅의 높은 성능을 확인한다. 또한, 구현한 무인 마켓에서 데이터 전송의 효율성을 더욱 높이기 위해 카메라 단위와 매대 단위의 대역폭 할당 기법을 제안한다. 카메라 단위로는 모션 인식기술을 활용하여 움직임이 감지될 때만 각 이미지 프로세스에서 요구되는 고해상도로 송신하는 기법을 제안한다. 매대 단위로는 네트워크에서 수용 가능한 대역폭 임계치에 도달하지 못하게 하기 위해 매대 별 우선순위에 따른 대역폭 할당 스케줄링 기법을 제안한다. 그 결과로 평균 소모대역폭과 최대 소모대역폭을 비교하여 제안한 두 가지 기법이 기존의 방법에 비해 성능을 향상시키는 것을 보인다.

• Korean Journal of Breeding Science
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• v.41 no.3
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• pp.271-278
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• 2009

The growth performance of eastern white pine (Pinus strobus L.) was studied with six provenances originated from U.S. in a Hwasong plantation. Height and diameter growth were significantly different among provenances. In general, the growth of southern provenances were larger than that of northern provenances. Georgia and North Carolina provenances proved to be appropriate ones in our plantation, while Minnesota was worst in growth. Annual height growth was still increased at age 27, whereas annual diameter growth was highest at age 11, after that growth rate was gradually decreased. Pearson's correlation among ages was highly positively correlated. The rank of growth has not almost been changed from juvenile stages to at age 27.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.51-51
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• 2023

최근 기후의 급격한 변화 및 이상기후로 인해 전 세계적으로 가뭄의 발생빈도가 증가하고 있는 추세이다. 우리나라의 경우 지역·계절별 강수량의 편차로 인해 국지적으로 극심한 가뭄이 발생하고 있으며, 향후 피해는 더욱 증가할 것으로 예측하고 있다. 농업가뭄은 농작물 생육에 따른 수확량 및 수자원 이용에 직접적인 영향을 미치고 있으며, 농업수리시설물의 의존도가 높기 때문에 저수지의 대응능력과 농경지의 수리답 시설이 농업가뭄 대응을 위한 중요한 지표로써 활용되고 있다. 본 연구에서는 수리시설물의 가뭄대응능력과 평야부 농경지의 가뭄빈도를 이용하여 농업가뭄 취약성 평가를 수행하였다. 2015년 이후 매년 가뭄이 발생하는 충청남도 태안군을 시범지역으로 선정하였으며, 논 중심의 농업가뭄을 평가하기 위해 기상영향, 가뭄발생현황, 보조수원능력, 가뭄대응능력 4가지의 관련 항목을 선정하였다. 기상영향, 가뭄발생현황, 보조수원현황 항목은 계수화를 위해 데이터 속성 정보만을 이용하여 가중치를 산정하는 엔트로피 (Entropy) 방법을 적용하였으며, 가뭄대응능력 항목은 농업수리시설물과 농경지 평균 가뭄빈도 분석을 통해 점수화를 수행하였다. 본 연구의 결과는 지역별로 선제적인 가뭄대응 우선순위를 결정할 수 있고, 용수공급의 효율화 등 논 중심의 농업가뭄 대응을 위한 기초자료로써 활용될 수 있을 것으로 판단된다.

• Journal of Korean Society of Transportation
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• v.29 no.1
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• pp.103-111
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• 2011

To evaluate highway safety countermeasures or identify high risk sites, the expected crashes for a site (or segment) have been estimated using the panel crash data. Past studies show that two different methods can be employed to estimate the expected crashes: observed crash based method and empirical Bayes (EB) method. This study conducts a simulation study to analyze how the estimation errors of the two estimates are affected by the different structures of the panel crash data and the presence of the change in safety over time. The results disclose that the estimation errors of the observed crash based estimates (i.e. the mean observed crash and comparative parallel estimate) are always greater than those of the EB estimates regardless of the structure of the panel crash data and the presence of the change in safety over time. Thus, it is highly recommended that the EB method be used in the study of traffic safety to obtain more reliable estimates for the expected crashes. In addition, this study corroborates that the estimation errors of the two estimates decrease as the analysis periods increase if safety does not change over time. Hence, it is also recommended that the 1-year analysis period used for identifying high risk sites in Korea be extended to produce more efficient estimates of the time-constant expected crashes.