• Journal of Korea Water Resources Association
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• v.51 no.11
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• pp.989-998
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• 2018

Connectivity between water source and demand node can be served as a critical system performance indicator of the degree of water distribution network (WDN)' failure severity under abnormal conditions. Graph theory-based approaches have been widely applied to quantify the connectivity due to WDN's graph-like topological feature. However, most previous studies used undirected-unweighted graph theory which is not proper to WDN. In this study, the directed-weighted graph theory was applied for WDN connectivity analyses. We also proposed novel connectivity indicators, Source-to-Node Shortest Pathway (SNSP) and SNSP-Degree (SNSP-D) which is an inverse of the SNSP value, that does not require complicate hydraulic simulation of a WDN of interest. The proposed SNSP-D index was demonstrated in total 42 networks in J City, South Korea in which Pearson Correlation Coefficient (PCC) between the proposed SNSP-D and four other system performance indicators was computed: three resilience indexes and an energy efficiency metric. It was confirmed that a system representative value of the SNSP-D has strong correlation with all resilience and energy efficiency indexes (PCC = 0.87 on average). Especially, PCC was higher than 0.93 with modified resilience index (MRI) and energy efficiency indicator. In addition, a multiple linear regression analysis was performed to identify the system hydraulic characteristic factors that affect the correlation between SNSP-D and other system performance indicators. The proposed SNSP is expected to be served as a useful surrogate measure of resilience and/or energy efficiency indexes in practice.

• Journal of Practical Engineering Education
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• v.12 no.1
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• pp.31-39
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• 2020

Big data analysis is analyzed and used in a variety of management and industrial sites, and plays an important role in management decision making. The job competency of big data analysis personnel engaged in management analysis work does not necessarily require the acquisition of microscopic IT skills, but requires a variety of experiences and humanities knowledge and analytical skills as a Data Scientist. However, big data education by state-run and state-run educational institutions and job education institutions based on the National Competency Standards (NCS) is proceeding in terms of software engineering, and this teaching methodology can have difficult and inefficient consequences for non-technical majors. Therefore, we analyzed the current Big Data platform and its related technologies and defined which of them are the requisite job competency requirements for field personnel. Based on this, the education courses for big data analysis and visualization techniques were organized for non-technical-based majors. This specialized curriculum was conducted by working-level officials of financial institutions engaged in management analysis at the management site and was able to achieve better educational effects The education methods presented in this study will effectively carry out big data tasks across industries and encourage visualization of big data analysis for non-technical professionals.

• The KIPS Transactions:PartC
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• v.9C no.4
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• pp.489-496
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• 2002

This study proposes a new polling algorithm allowing dynamic change in polling period based on line utilization prediction. Polling is the most important function in network monitoring, but excessive polling data causes rather serious congestion conditions of network when network is In congestion. Therefore, existing multiple polling algorithms decided network congestion or load of agent with previously performed polling Round Trip Time or line utilization, chanced polling period, and controlled polling traffic. But, this algorithm is to change the polling period based on the previous polling and does not reflect network conditions in the current time to be polled. A algorithm proposed in this study is to predict whether polling traffic exceeds threshold of line utilization on polling path based on the past data and to change the polling period with the prediction. In this study, utilization of each line configuring network was predicted with AR model and violation of threshold was presented in probability. In addition, suitability was evaluated by applying the proposed dynamic polling algorithm based on line utilization prediction to the actual network, reasonable level of threshold for line utilization and the violation probability of threshold were decided by experiment. Performance of this algorithm was maximized with these processes.

• Communications of the Korean Institute of Information Scientists and Engineers
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• v.20 no.5
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• pp.17-22
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• 2002

만약 사용자가 원하는 멀티미디어 콘텐츠를 원하는 시간에 TV를 통해서 볼 수 있게 된다면, 다시 말해서 보고 싶을 때, 보고 싶은 방송을 포함한 멀티미디어 콘텐츠를 원하는 시간에 바로 볼 수 있게 된다면 사용자는 방송시간에 맞추어 TV를 보지 않아도 되고 원하는 콘텐츠를 검색하느라 시간을 보낼 필요도 없어질 것이다. 예약 녹화의 경우에는 시간정보를 가지고 미리 예약을 해야 하는 경우이므로 이와는 다른 경우라 하겠다. 이러한 서비스는 바로 디지털 콘텐츠와 이를 가정에서 저장할 수 있는 장치의 발달이 바탕이 되고 있다.(표 1 생략, 원문이미지 참조) 표 1은 영국의 BBC사에서 1998년에 조사한 자료로 디지털 멀티미디어 데이터를 저장하고 재생할 수 있는 저장장치의 가격과 용량의 전망을 나타낸다. 여기에서 데이터는 5.5 Mbps급의 MPEG-2 스트림을 기준으로 하였다. 표 1에서 보수적 견해는 매 18개월마다, 현실적 견해는 매 10개월마다 동일 가격의 용량이 2배가 되는 것으로 계산한 것이다. 여기서 보듯 저장장치의 가격 대비 성능이 갈수록 나아지고 있어 가정에서 멀티미디어 콘텐츠를 저장할 수 있는 가정용 서버의 등장이 멀지 않았음을 보여준다. 1999년 가을에 활동을 접은 DAVIC의 마지막 활동이 바로 이러한 저장장치를 이용한 "TV Anytime Service"였다 . Anytime Ser vice란 저장장치를 통해 사용자가 원하는 콘텐츠를 저장해 놓았다가 사용자가 원하는 시간에 언제나 볼 수 있다는 개념이다. 이를 소비자관점에서 보면 Personalized service라고 할 수 있다. 이어 1999년 여름에 창설이 된 "TV Anytime Forum"이라는 단체에서 이러한 저장장치를 이용한 서비스를 위한 환경을 구축하고 있다. TV Anytime Forum은 가정에서 저장장치가 있는 단말인 PDR(Personal Digital Recorder)을 이용한 서비스, 즉 Anytime Service 위한 응용을 가능하게 하기위한 콘텐트 개발자에서부터 가전기기에 이르는 분야에서 Interoperable한 규격을 만들어 보자는 것이 그 목적이다. 특히 여러가지 디지털미디어 전달방식, 예를 들어 DVB, ATSC, ARIB 등에 독립적인 규격을 만드는 것을 원칙으로 하고 있다. 1999년 7월에 첫 번째 회의를 하면서 설립이 되었다. 2001년 말 기준으로 BBC, NHK, Microsoft, Sony, IBM, Phillips, NTT, Intel, Canal+, Tivo, 대우전자, 삼성전자, LG전자, KETI, ETRI 등 콘텐츠 사업자, 방송업자, 네트웍 사업자, 가전업체, 소프트웨어 개발회상에 이르기까지 총 157개 회원사로 구성되어 있으며 년 6회 회의를 개최한다. 2000년 11월에는 서울에서 회의를 개최하였으며 2003년 6월에 다시 한국에서 개최하기로 확정되어 있다. 본 글에서는 이러한 Anytime Service 환경이 구축되었을 때의 각 산업별로 얻을 수 있는 이득에 대해서 알아보고 TV Anytime Forum의 각 Working Group들의 작업 내용들, 그리고 지난 1월에 열렸던 15차 회의의 결과들에 대해서 살펴보고 국내의 TV Anytime 활동에 대해서 간단하게 소개하고 마치도록 하겠다. 현재 디지털 방송기술, 비디오 스트리밍 기술이나 MPEG 등과 같은 기술수준으로도 충분히 이러한 서비스를 시작할 수 있으며 소비자들도 이러한 욕구를 서서히 느끼고 있다. 정보와 서비스를 선택할 수 있게 만들자는 목표를 설정하고 있다. 이러 목표는 통신$.$컴퓨터$.$멀티미디어 기술발전으로 가능하게 되었다.

• Journal of KIISE:Computer Systems and Theory
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• v.33 no.7
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• pp.370-379
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• 2006

Computational grid provides the environment which integrates v 따 ious computing resources. Grid environment is more complex and various than traditional computing environment, and consists of various resources where various software packages are installed in different platforms. For more efficient usage of computational grid, therefore, some kind of integration is required to manage grid resources more effectively. In this paper, a global scheduler is suggested, which integrates grid resources at meta level with applying various scheduling policies. The global scheduler consists of a mechanical part and three policies. The mechanical part mainly search user queues and resource queues to select appropriate job and computing resource. An algorithm for the mechanical part is defined and optimized. Three policies are user selecting policy, resource selecting policy, and executing policy. These can be defined newly and replaced with new one freely while operation of computational grid is temporarily holding. User selecting policy, for example, can be defined to select a certain user with higher priority than other users, resource selecting policy is for selecting the computing resource which is matched well with user's requirements, and executing policy is to overcome communication overheads on grid middleware. Finally, various algorithms for user selecting policy are defined only in terms of user fairness, and their performances are compared.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.2
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• pp.536-544
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• 2016

Recently, with the increase in the number of high rise and huge scaled buildings, ultra-high strength concrete with 80~100 MPa has been used increasingly to withstand excessive loads. Among the components of concrete, the effects of the kinds and properties of fine aggregates on the performance and economic advantages of ultra-high strength concrete need to be evaluated carefully. Therefore, this study examined the effects of the type of fine aggregates and mixing methods on the engineering properties of ultra-high strength concrete by varying the fine aggregates including limestone fine aggregate (LFA), electrical arc slag fine aggregate (EFA), washed sea sand (SFA), and granite fine aggregate (GFA) and their mixtures. Ultra-high strength concrete was fabricated with a 20 % water to binder ratio (W/B) and incorporated with 70 % of Ordinary Portland cement: 20 % of fly ash:10 % silica fume. The test results indicate that for a given superplasticizer dose, the use of LFA resulted in increases in slump flow and L-flow compared to the mixtures using other aggregates due to the improved particle shape and grading of LFA. In addition, the use of LFA and EFA led to enhanced compressive strength and a decrease in autogenous shrinkage due to the improved elastic properties of LFA and the presence of free-CaO in EFA, which resulted in the formation of C-S-H.

• The KIPS Transactions:PartD
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• v.13D no.7 s.110
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• pp.857-866
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• 2006

Performance of an image retrieval system is usually very low because of the semantic gap between the low level feature and the high level concept in a query image. Semantically relevant images may exhibit very different visual characteristics, and may be scattered in several clusters. In this paper, we propose a content based image rertrieval approach which combines region based image retrieval and a new relevance feedback method using adaptive clustering together. Our main goal is finding semantically related clusters to narrow down the semantic gap. Our method consists of region based clustering processes and cluster-merging process. All segmented regions of relevant images are organized into semantically related hierarchical clusters, and clusters are merged by finding the number of the latent clusters. This method, in the cluster-merging process, applies r: using v principal components instead of classical Hotelling's $T_v^2$ [1] to find the unknown number of clusters and resolve the singularity problem in high dimensions and demonstrate that there is little difference between the performance of $T^2$ and that of $T_v^2$. Experiments have demonstrated that the proposed approach is effective in improving the performance of an image retrieval system.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.12
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• pp.93-99
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• 2017

The rate of traffic accidents that occurred in Korea last year is 10 out of every 100,000 people, ranking it 6th among the 35 OECD member countries. The accident rate of children with disabilities and elderly people is also high. The purpose of this study is to introduce traffic safety facilities which have been developed for the reduction of traffic accidents in non-urban areas in Korea through an analysis of the related literature, the accident factors using traffic accident analysis system data and traffic accident characteristics. Traffic safety integrated facilities for ICT-based pedestrian crossings are subject to cross-sectional coverage of child protection zones. The smart safety fence prevents vehicles from parking illegally and informs pedestrians that there is an access vehicle on the pedestrian crossing. The smart bump is designed to warn drivers who are not aware of the pedestrians. In order to standardize the appropriate form and size of the traffic safety facilities for pedestrian crossings, we constructed a standard model for each type, considering the road function, press classification, power, lane number, geometric form, etc. As a result, the rate of traffic accidents involving vulnerable people was reduced. In addition, it is anticipated that the maintenance costs will be reduced by the use of a solar power supply and their compatibility with the existing installed safety fences.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.4
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• pp.463-470
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• 2020

This study was conducted to aid in the development of an infection control educational program for nurses, by assessing the knowledge and educational demand of nurses for MDRO infection control. Totally, 115 nurses participated in the study. Data were collected from November 15-30, 2019, using structured questionnaires. Descriptive statistics, t-test, and ANOVA were applied for analyzing the data. Experience of caring for MDRO patients was reported by 86.1% nurses, whereas 67.8% nurses had received training on MDROs. The average score for knowledge on MDROs was 25.51 out of 27 points, with minimal correct answers given for the query on level of disinfection for medical equipment used by patients, criteria for the preemptive precaution, patient management in the cohort, and timing for removing personal protective equipment. The educational demand was highest for assignment to the precaution, criteria for screening examination, and management of outbreak. Also, educational needs differed with respect to the general educational characteristics and position of the individual. We propose the need to differentiate the educational status according to the career when developing the MDROs program, and the necessity to execute education of MDROs for new nurses and career nurses.

• Korean Journal of Cognitive Science
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• v.16 no.2
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• pp.141-154
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• 2005

The purpose of this study was to investigate the effects of implicit and explicit situation awareness instruction on decision making and event related brain potentials. Psychophysiological data obtained from 36 intermediated level tennis players whose National Tennis Rating Program(NTTP) belong 2 to 2.5 were compared. Participants were randomly assigned to one of three experimental groups: (1) implicit situation awareness, (2) explicit situation awareness, and (3) control group. A total of 90 clips were presented via a beam project screen, and participants pressed one of three jelly bean buttons to indicate the direction of ball hit. Dependent measures were the latencies and amplitudes of P300 on Pz, Cz, and Fz. The results of this study indicated that participants in the implicit situation awareness produced tenser P300, than participants in the explicit situation awareness group. The findings also indicated that single defense showed longer P300 latencies than single attack as well as double defense. The P300-amplitude of treatment groups were longer than control group. The Cz area showed shorer P300 latencies than Pz and Fz areas. In addition, single defense situation demonstrated longer P300 latencies than single attack and double defence situations. Based on this study, it is believed that implicit and explicit situation awareness instruction influence decision making in different ways.