The study applies a hydrologic simulation model, HEC-1 developed by Hydrologic Engineering Center to Daecheong dam watershed for modeling hourly inflows of Daecheong dam. Although the HEC-1 model provides an automatic optimization technique for some of the parameters, the built-in optimization model is not sufficient in estimating reliable parameters. In particular, the optimization model often fails to estimate the parameters when a large number of parameters exist. In this regard, a main objective of this study is to develop Bayesian Markov Chain Monte Carlo simulation based HEC-1 model (BHEC-1). The Clark IUH method for transformation of precipitation excess to runoff and the soil conservation service runoff curve method for abstractions were used in Bayesian Monte Carlo simulation. Simulations of runoff at the Daecheong station in the HEC-1 model under Bayesian optimization scheme allow the posterior probability distributions of the hydrograph thus providing uncertainties in rainfall-runoff process. The proposed model showed a powerful performance in terms of estimating model parameters and deriving full uncertainties so that the model can be applied to various hydrologic problems such as frequency curve derivation, dam risk analysis and climate change study.
This study focused on mobile trend in diffusion of smart phone. Presently, it has been evolved from digital nomad to smart nomad. Smart nomad era is based on digital technology with mobility and being smart. Smart nomad that is made up high-end device and intellectual content has changed structure of industry and life style. Smart phone is a core key in smart nomad era. In 2010 smart phone has been distributed about 2.5 hundreds million which is 20% of whole mobile phone sales and the volume of smart phone sales will be getting bigger and bigger in near future. Although, there are various reasons for success of smart phone market, this research focused 4 reasons: first, development of mobile device, second, evolution of mobile content distribution, third, support of government system, fourth, success of Docomo i-mode and Apple i phone. Smart phone will grow up more rapidly. Smart phone eco-system will be more competitive in the world. In Korea, smart phone eco-system also will be very competitive. For success in the middle of this competitive environment, Korea should lead the competitive phase with development of ability of creation software and content, construction of various partnership and evolution of next generation technology and service.
Journal of the Korea Academia-Industrial cooperation Society
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v.12
no.3
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pp.1417-1426
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2011
Business still relies heavily on pen and paper for legal reasons or convenience. The handwritten document is to be converted into digitalized document for IT system to manage and process in real time. Because the previous document digitalization systems convert the handwritten documents into digitalized documents by scanning and post-processing the documents, it is difficult to seamlessly proceed the work process. This paper proposes the LiveForm, a framework for digitalizing handwritten document using digital pen and handwriting recognition technology. To prove the applicability of the proposed LiveForm, we also implement a LiveForm based service in industrial gas distribution process and analyze effects of the system. The LiveForm generates the same digital image as the handwritten document by writing up the paper with absolute coordinates by digital pen and converts the handwriting data to digital text to insert the information into back-end system. The LiveForm based system eliminates scanning for document digitalization and data input with keyboard into back-end system in paper-based information gathering. Therefore, it is possible for the LiveForm to improve work process in various business areas.
Proceedings of the Korea Society for Industrial Systems Conference
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1999.12a
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pp.121-129
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1999
When continuous media are transmitted over the communication networks, asynchrony which can not maintain temporal relationships among packets may occur due to a random transit delay. There exist two types of synchronization schemes ; for guaranteed or non-guaranteed resource networks. The former which applies a resource reservation technique maintains delay characteristics, however, the latter supply a best-effort service. In this paper, I propose a intra-media synchronization scheme to transmit continuous media on general networks not guaranteeing a bounded delay tome. The scheme controls transmission times of the packets by estimating next delay time with the delay distribution. So, the arriving packets may be maintained within a limited delay boundary, and playout will be performed after buffering to smoothen small delay variations. The continually increasing delay due to network overload causes buffer underflow at the receiver. To solve it, the transmitter is required to speed up instantaneously. Too much increase of transmission-rate may cause network congestion. At that time, the transmitter drops the current packet when informed excessive delay from the receiver.
The purpose of this study was to analyze the results of teachers' self-evaluation on their health teaching behaviors, then to furnish the basic data to be able to improve teachers' health teaching activities and the educational issues on the education of teachers. To put above aims into practice, these were required: 1. Are there any differences in the results of self-evaluation on health teaching behaviors factors by teachers? 2. Are there any differences in the results of health teaching self-evaluation whether he/she take P.E as major of study in-serviece training period? 3. Does it have any influence on the results of health teaching self-evaluation whether he or she completed on the job training for the school health? 4. Are there any differences in the results of health teaching self-evaluation by sex and career? To carry out a research for this purpose, the factors of health teaching self-evaluation were divided into the clearness of the procedure, the active interaction, the variety of the ways showing the contents, and the individualization of the procedure. Then a questionnaire form, consisting of 28 specific inquires to evaluate health teaching behaviors, was delivered and conducted by 450 teacher of the elementary school in Kyungki-do. The analysis of data was done by SPSS; producing mean and standard deviation and they were inspected statistically to compare the evaluation levels and find out the differences by teachers' personal variables. The conclusion were as follows: 1. In the self-evaluation level of teachers' health teaching behaviors, teachers showed 68.23 point as are percentile distribution. And it was in order of a school-nurse(71.68), an athletic teacher(67.29), and a class-room teacher (65.66). Score obtained by teacher was statistically significant difference (p〈.001) 2. In the factors affecting to teachers' health instruction, “active interaction” showed the highest score(18.55), “variety of ways showing the contents”(17.38), “clearness of the procedure” (16.70), and “individualization of the procedure” (15.59). In the analysis of the differences by teachers, according to factors, there were significant differences in “active interaction”, “variety of the ways showing contents”, “clearness of the procedure”(p〈.001). 3. Self-evaluation score for graduates from Dept. of P. E in Teachers' collage was not significant difference compared with other majors(p〉.05). 4. Teachers receiving health education was significantly higher self-evaluation score than that of teachers not-receiving health education (P〈.01). 5. Self-evaluation score of female teacher was significant difference compared with that of male teacher (p〈.001). 6. Career (working duration) did not influenced to self-evaluation score on health teaching behaviors (P〉 .05). On the basis of the conclusion of this study, the next are suggested: First, the further studies to make use of the results of health teaching behaviors and to examine the effect are needed. Second, the further studies to examine the relations between academic achievement and teachers' major(a school-nurse, an athletic teacher, and a class-room teacher) are needed. Third, the following studies to improve health teaching by both teachers' self-evaluation on health teaching behaviors and students' evaluation of teachers, and to find out more effective health teaching, are needed. Fourth, Health education for pre-service training course and On-the-Job training program are need the effective factors on the teachers' Health teaching obtained from this study.
We explore how stock returns and volatility have been impacted by securities market stimulating and controlling plans during the 1980-2004 period, using return analysis, event study, and BFL tests. First, we examine effectiveness of the stimulating plans for a depressed market and the controlling plans for an overheated market with respect to different firm sizes and industries as well as the whole market. KOSPI, large-sized, finance, and manufacturing company stock prices significantly rise following stimulating plans, implying that the plans are quite effective. Controlling plans also seem effective as stock prices stop rising and tend to decline following the plans. Second, we test whether securities market plans have any further impact with respect to fun sizes and industries in addition to the impact on the entire market. Only large-sized stocks show additional response to stimulating plans, while small-sized, electrical-electronic equipment, distribution, and manufacturing industries are further impacted by controlling plans. Third, the results of BFL tests show that volatility does not change around the announcement dates of stimulating and controlling plans. It appears that securities market plans have no impact on volatility. Only stock returns respond to the plans.
Kim, Young-Mi;Hong, Kyung Nak;Lee, Jei Wan;Yang, Byeong-Hoon
Journal of Korean Society of Forest Science
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v.103
no.2
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pp.182-188
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2014
Genetic diversity and genetic differentiation in six natural populations of Abies holophylla Max were investigated using ISSR marker system. From 6 ISSR primers, the average percentage of polymorphic loci was 85.6%, and the average expected heterozygosity ($H_e$) was 0.288. From the result of AMOVA, 94.4% of total genetic variation came from the differences among individuals within populations, and 5.6% was caused by those of among-populations. On the basis of Bayesian inference, genetic differentiation (${\theta}^{II}$ and $G_{ST}$) and inbreeding coefficient for all populations were 0.045, 0.038, and 0.509, respectively. The correlation between genetic distance and geographical distance was highly significant at the Mental's test (r = 0.74, P < 0.05). Six populations divided into two groups according to the results of UPGMA and PCA. One group included Namwon, Cheongdo and Mungyeong population. The other was Inje, Hongcheon and Pyeongchang population. Also, in Bayesian clustering analysis, 6 populations were divided into two clusters. But Cheongdo population was assigned into the other cluster unlike those of UPGMA or PCA. Taking the regions based on the results of the cluster analysis into consideration of AMOVA, 3.9% of genetic variation came from the regional difference. The dendrogram from UPGMA could provide the most genetically reasonable explanation for the distribution of Abies holophylla populations in South Korea.
Pollen is closely related to health issues such as allergenic rhinitis and asthma as well as intensifying atopic syndrome. Information on current and future spatio-temporal distribution of allergenic pollen is needed to address such issues. In this study, the Community Multiscale Air Quality Modeling (CMAQ) was utilized as a base modeling system to forecast pollen dispersal from oak trees. Pollen emission is one of the most important parts in the dispersal modeling system. Areal emission factor was determined from gridded areal fraction of oak trees, which was produced by the analysis of the tree type maps (1:5000) obtained from the Korea Forest Service. Daily total pollen production was estimated by a robust multiple regression model of weather conditions and pollen concentration. Hourly emission factor was determined from wind speed and friction velocity. Hourly pollen emission was then calculated by multiplying areal emission factor, daily total pollen production, and hourly emission factor. Forecast data from the KMA UM LDAPS (Korea Meteorological Administration Unified Model Local Data Assimilation and Prediction System) was utilized as input. For the verification of the model, daily observed pollen concentration from 12 sites in Korea during the pollen season of 2014. Although the model showed a tendency of over-estimation in terms of the seasonal and daily mean concentrations, overall concentration was similar to the observation. Comparison at the hourly output showed distinctive delay of the peak hours by the model at the 'Pocheon' site. It was speculated that the constant release of hourly number of pollen in the modeling framework caused the delay.
With the advent of multi-channel TV, IPTV and smart TV services, excessive amounts of TV program contents become available at users' sides, which makes it very difficult for TV viewers to easily find and consume their preferred TV programs. Therefore, the service of automatic TV recommendation is an important issue for TV users for future intelligent TV services, which allows to improve access to their preferred TV contents. In this paper, we present a recommendation model based on statistical machine learning using a collaborative filtering concept by taking in account both public and personal preferences on TV program contents. For this, users' preference on TV programs is modeled as a latent topic variable using LDA (Latent Dirichlet Allocation) which is recently applied in various application domains. To apply LDA for TV recommendation appropriately, TV viewers's interested topics is regarded as latent topics in LDA, and asymmetric Dirichlet distribution is applied on the LDA which can reveal the diversity of the TV viewers' interests on topics based on the analysis of the real TV usage history data. The experimental results show that the proposed LDA based TV recommendation method yields average 66.5% with top 5 ranked TV programs in weekly recommendation, average 77.9% precision in bimonthly recommendation with top 5 ranked TV programs for the TV usage history data of similar taste user groups.
Park, Il Ha;Park, Yong Gul;Kim, Sigon;Kim, Yeon Kyu
Journal of Korean Society of Transportation
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v.32
no.3
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pp.227-238
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2014
There is no question that railroad investment is crucial for better transport systems and the Korean government has continued to invest in railroad facilities. Nevertheless, the modal share of railroad, in particular, for freight has decreased. This is because rail freight transport can hardly meet customer needs such as just-in-time(JIT), a door-to-door service, compared to road transport, to be specific, trucking which can directly carry the freights to the final destinations. This has made the value of the railroad infrastructure less, which has been operated for the past 114 years. This study proposes a new freight movement concept called Piggy Back System. This system can carry freight trucks on the trains and deliver the freights to the final destinations. It can make a door-to-door deliver system possible for railroad transportation, which is the key factor for modal shift from road to railroad. For implementing this, this study proposes three important things: the cost-efficient reforming way of railroad yard that has been used for the past 114 years, the diagram plan of train services, and some technical reviews like clearance limits. This is the first study with practical proposals and solutions on this topic in Korea. The suggestions of this study cut down distribution costs by more than seven trillion won.
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