• Title/Summary/Keyword: Demand estimation

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SUSTAINABILITY SOLUTIONS USING TRENCHLESS TECHNOLOGIES IN URBAN UNDERGROUND INFRASTRUCTURE DEVELOPMENT

  • Dae-Hyun (Dan) Koo;Samuel Ariaratnam
    • International conference on construction engineering and project management
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    • 2013.01a
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    • pp.367-374
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    • 2013
  • Underground infrastructure systems provide essential public services and goods through buried structures including water and sewer, gas and petroleum, power and communication pipelines. The majority of existing underground infrastructure systems was installed in green field areas prior to development of complex urban built environments. Currently, there is a global trend to escalate major demand for underground infrastructure system renewal and new installation while minimizing disruption and maintaining functions of existing superstructures. Therefore, Engineers and utility owners are rigorously seeking technologies that minimize environmental, social, and economic impact during the renewal and installation process. Trenchless technologies have proven to be socially less disruptive, more environmentally friendly, energy conservative and economically viable alternative methods. All of those benefits are adequate to enhance overall sustainability. This paper describes effective sustainable solutions using trenchless technologies. Sustainability is assessed by a comparison between conventional open cut and trenchless technology methods. Sustainability analysis is based on a broad perspective combining the three main aspects of sustainability: economic; environmental; and social. Economic includes construction cost, benefit, and social cost analysis. Environmental includes emission estimation and environmental quality impact study. Social includes various social impacts on an urban area. This paper summarizes sustainable trenchless technology solutions and presents a sustainable construction method selection process in a proposed framework to be used in urban underground infrastructure capital improvement projects.

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Study on the Impact of Joining the CPTPP on the Korean Auto Industry (CPTPP 가입이 국내 자동차산업에 미치는 영향 연구)

  • Jung-Ran Cho
    • Korea Trade Review
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    • v.45 no.1
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    • pp.137-153
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    • 2020
  • On February 14, 2019, the government of Korea formally decided to consider the feasibility of joining the Comprehensive and Progressive Trans-Pacific Partnership (CPTPP) and has since been conducting bilateral consultations with individual member countries. In terms of the impact estimation, the CPTPP is actually a Korea-Japan FTA, and the most sensitive issue in the FTA is the opening of the auto industry market to Japan. Despite these circumstances, previous studies have predicted that the auto industry will be a beneficiary industry when joining the CPTPP. However, the Korean auto industry is opposed to joining the CPTPP. In order to investigate the cause of this discrepancy, this paper examines the problems of previous studies in estimating the impact of joining the CPTPP and found that the preceding study did not consider the industrial characteristics of the auto sector, especially in the context of Japan-Korea trade, and was heavily dependent on the Armington elasticity (structure) in the demand function of the GTAP CGE model. As a result, the domestic auto sector could lower prices and increase exports when joining the CPTPP. This paper attempts to precisely re-estimate the impact of joining the CPTPP on the auto sector in a way that corrects these problems by changing the CGE model and reflecting the major characteristics of the industry, with policy implications for the negotiation of CPTPP accession.

Personalized VDT Syndrome Prevention System Using PoseNet (PoseNet을 이용한 개인 맞춤형 VDT 증후군 예방 시스템)

  • Young-bok Cho
    • Journal of Practical Engineering Education
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    • v.16 no.2
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    • pp.115-119
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    • 2024
  • With the increase in the number of ICT industry workers, there is a demand for research on preventing VDT syndrome. However, existing posture correction products mostly rely heavily on cameras or sensors in wearable devices. In this paper, we have developed a posture correction system that utilizes built-in cameras and circular pressure sensors to collect posture information. Additionally, the system provides a personalized service by capturing the correct posture of the user initially and monitoring the user's posture based on that input. By precisely correcting postures during users' daily tasks, this system aims to prevent and improve VDT syndrome, ultimately enhancing the efficiency of ICT industry workers.

System Construction and Data Development of National Standard Reference for Renewable Energy - Model-Based Standard Meteorological Year (신재생에너지 국가참조표준 시스템 구축 및 개발 - 모델 기반 표준기상년)

  • Boyoung Kim;Chang Ki Kim;Chang-yeol Yun;Hyun-goo Kim;Yong-heack Kang
    • New & Renewable Energy
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    • v.20 no.1
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    • pp.95-101
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    • 2024
  • Since 1990, the Renewable Big Data Research Lab at the Korea Institute of Energy Technology has been observing solar radiation at 16 sites across South Korea. Serving as the National Reference Standard Data Center for Renewable Energy since 2012, it produces essential data for the sector. By 2020, it standardized meteorological year data from 22 sites. Despite user demand for data from approximately 260 sites, equivalent to South Korea's municipalities, this need exceeds the capability of measurement-based data. In response, our team developed a method to derive solar radiation data from satellite images, covering South Korea in 400,000 grids of 500 m × 500 m each. Utilizing satellite-derived data and ERA5-Land reanalysis data from the European Centre for Medium-Range Weather Forecasts (ECMWF), we produced standard meteorological year data for 1,000 sites. Our research also focused on data measurement traceability and uncertainty estimation, ensuring the reliability of our model data and the traceability of existing measurement-based data.

A Study on Estimation of Traffic Flow Using Image-based Vehicle Identification Technology (영상기반 차량인식 기법을 이용한 교통류 추정에 관한 연구)

  • Kim, Minjeong;Jeong, Daehan;Kim, Hoe Kyoung
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.18 no.6
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    • pp.110-123
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    • 2019
  • Traffic data is the most basic element necessary for transportation planning and traffic system operation. Recently, a method of estimating traffic flow characteristics using distance to a leading vehicle measured by an ADAS camera has been attempted. This study investigated the feasibility of the ADAS vehicle reflecting the distance error of image-based vehicle identification technology as a means to estimate the traffic flow through the normalized root mean square error (NRMSE) based on the number of lanes, traffic demand, penetration rate of probe vehicle, and time-space estimation area by employing the microscopic simulation model, VISSIM. As a result, the estimate of low density traffic flow (i.e., LOS A, LOS B) is unreliable due to the limitation of the maximum identification distance of ADAS camera. Although the reliability of the estimates can be improved if multiple lanes, high traffic demands, and high penetration rates are implemented, artificially raising the penetration rates is unrealistic. Their reliability can be improved by extending the time dimension of the estimation area as well, but the most influential one is the driving behavior of the ADAS vehicle. In conclusion, although it is not possible to accurately estimate the traffic flow with the ADAS camera, its applicability will be expanded by improving its performance and functions.

A Study on Compressive Strength Estimation of Underwater Concrete Structures According to Water Depths (수중 콘크리트 구조물의 수심별 강도 추정에 관한 연구)

  • Lee, Jisung;Han, Sanghun;Park, Seunghee
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.36 no.3
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    • pp.341-348
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    • 2016
  • Harbor facilities require long-term durability and safety, and also maintain the performance requirement until the durability life. However, existing harbor facilities are becoming superannuated with durable years and durability is declined by erosion of the sea and damage from sea. In addition, harbor facilities will be in demand for the expansion of harbor and offshore structures with rising economic power by enhancement of domestic industry and increase of import and export. Therefore, in this study, two kinds of nondestructive test (NDT) techniques (schmidt rebound hammer and ultrasonic sensor) are verified for the effective maintenance of underwater concrete structures including harbor facilities. Sea field applicability of Schmidt hammer and ultrasonic sensor was verified by comparing field test result with sea field test result and also deduced the compressive strength estimation equation by depth of the water. On the basis of the sea field test result, compressive strength estimation equation which was deduced by multiple regression analysis indicated highest accuracy compared to other equations, especially it will be more likely to be used in underwater because of the depth of water correction. In the future, if schmidt hammer and ultrasonic sensor which were invented as waterproofing are used with ROV (Remotely Operated Vehicle), it will be possible to make a diagnosis of high reliability for underwater concrete structures and set up a ubiquitous concept of NDT system.

State of Health and State of Charge Estimation of Li-ion Battery for Construction Equipment based on Dual Extended Kalman Filter (이중확장칼만필터(DEKF)를 기반한 건설장비용 리튬이온전지의 State of Charge(SOC) 및 State of Health(SOH) 추정)

  • Hong-Ryun Jung;Jun Ho Kim;Seung Woo Kim;Jong Hoon Kim;Eun Jin Kang;Jeong Woo Yun
    • Journal of the Microelectronics and Packaging Society
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    • v.31 no.1
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    • pp.16-22
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    • 2024
  • Along with the high interest in electric vehicles and new renewable energy, there is a growing demand to apply lithium-ion batteries in the construction equipment industry. The capacity of heavy construction equipment that performs various tasks at construction sites is rapidly decreasing. Therefore, it is essential to accurately predict the state of batteries such as SOC (State of Charge) and SOH (State of Health). In this paper, the errors between actual electrochemical measurement data and estimated data were compared using the Dual Extended Kalman Filter (DEKF) algorithm that can estimate SOC and SOH at the same time. The prediction of battery charge state was analyzed by measuring OCV at SOC 5% intervals under 0.2C-rate conditions after the battery cell was fully charged, and the degradation state of the battery was predicted after 50 cycles of aging tests under various C-rate (0.2, 0.3, 0.5, 1.0, 1.5C rate) conditions. It was confirmed that the SOC and SOH estimation errors using DEKF tended to increase as the C-rate increased. It was confirmed that the SOC estimation using DEKF showed less than 6% at 0.2, 0.5, and 1C-rate. In addition, it was confirmed that the SOH estimation results showed good performance within the maximum error of 1.0% and 1.3% at 0.2 and 0.3C-rate, respectively. Also, it was confirmed that the estimation error also increased from 1.5% to 2% as the C-rate increased from 0.5 to 1.5C-rate. However, this result shows that all SOH estimation results using DEKF were excellent within about 2%.

Studies on the Estimation of Annual Tree Volume Growth for the Use as Basic Data on the Plan of Timber Supply and Demand in Korea - The Sub-sampling Oriented - (우리나라 목재수급계획(木材需給計劃)의 기초자료(基礎資料)로 활용(活用)키 위한 연간(年間) 임목성장량(林木成長量)의 추정(推定)에 관한 연구(硏究) - 부차추출법(副次抽出法)을 중심(中心)으로 -)

  • Lee, Jong Lak
    • Journal of Korean Society of Forest Science
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    • v.61 no.1
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    • pp.37-44
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    • 1983
  • This study was to estimate total annual volume growth by the measurement of mean tree growth during the last 10 years. Surveyed Forest stand was the second block (20.80 ha.)of Kyung Hee University Forests located at San 58 and 64, Gaegok-Ri, Gapyung-Yeup, Gapyung-Goon, Kyunggi province in Korea. The stand was mainly composed of uneven-aged Pinus densiflora and the estimation of tree volume was conducted by taking the cores at the D.B.H. of the sample tree which was selected by sub-sampling. The results obtained were as follows; 1) The regression between the diameter (D) and diameter growth ($\hat{I}$) was $\hat{I}=0.5499+0.0101D$. 2) The estimated equation of confidence interval for the diameter growth was $S^2{\hat{I}}=0.00817(0.09538-0.00952D+0.00027D^2$) 3) The equation for estimating tree height (H) from diameter was $H=1.32376D^{0.77958}$ 4) The equation for estimating tree volume from diameter and height $V=0.0000622D^{1.6918}H^{1.1397}$ 5) Total annual tree volume growth was $5.4041m^3/ha$, and ranged from 5.6131 to $5.1984m^3/ha$. 6) Annual growth rate of total tree volume and its error were 8.8% and 3.9%, respectively. The annual volume growth per tree for any districts can be estimated by this method, and the annual volume growth will be successfully predicted. Because of poor forest growing stock in Korea, annual amount of allowable cut should not exceed annual tree volume growth for better forest management. Accordingly, annual amount of allowable cut should be either equal to or less than annual tree volume growth for the balanced establishment between timber supply and demand in Korea. Demand shortage will be substituted with imported timber. Such plans enable Korean Government to develop a better policy of forest resources management.

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A Study on Estimation of Caring Demand for Extended Care Facilities by Activities of Daily Living (ADL(Activities of Daily Living)을 이용한 무료노인요양시설 수용노인의 돌봄필요도에 관한 연구)

  • Kim, Chul-Woung;Moon, Ok-Ryun;Lee, Sang-Yi;Yoo, Jae-Won;Yi, Sang-Gu
    • Journal of Preventive Medicine and Public Health
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    • v.31 no.3 s.62
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    • pp.564-578
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    • 1998
  • Most extended care facilities have admitted both the healthy and unhealthy elderly, among which members' average caring demand vary. The Aged Welfare Law, however, currently provides no reasonable basis on the staffing policy for extended care facilities. It just reflects the admitted number of the elderly rather than differences in members' average caring demand among facilities. This study is designed to estimate the need for caring staff on the basis of the correlation between the individual health status measured by various tools including Activities of Daily Living and caring demand by actual service time for each one. The sample included all of the admitted elderly(187 persons) in 4 extended care facilities, two in Seoul and the other two in Kangwon-Do over the survey period October 5 through October 20, 1996. The survey process consisted of 3 stages. (1) The current staffing information was collected through self-completed written questionnaires left for head of official in each facility. (2) Six graduate students at School of Public Health interviewed all residents to collect information on their health status and sociodemographics. The response rate for the interview was relatively high(85%). (3) Information on direct and indirect caring time consumed for each residents came from self-completed written questionnaires given to nurses and helpers in each target facilities. Analysis of the data was made using Pearson's correlation and multiple regression technique through SAS program. Based on this procedure, the following was found. 1. No facility meet the staffing standard in the Aged Welfare Law completely. 2. It is actual service time that is most correlated with ADL(Activities of daily living). 3. When all of the elderly are divided by four groups based on the level of ADL, the mean values of needed caring time in each group are 15, 21, 36 and 88 minutes respectively. 4. There is no significant difference among facilities in distribution of elderly person by group. 5. No facility meets the estimated number of nurses and helpers which reflects health status of the admitted elderly. Therefore, it is required that severity of the admitted elderly be considered in establishing staffing standard for extended care facility.

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Estimation of Fertilizer Demand (비료수요(肥料需要)에 대(對)한 전망(展望))

  • Oh, Wang-Keun;Lee, Choon-Soo
    • Korean Journal of Soil Science and Fertilizer
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    • v.15 no.1
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    • pp.2-15
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    • 1982
  • In this report, a total domestic demand for major commercial fertilizer for crop production in Korea up to 1996 was estimated. The agricultural products and area for demand for both 1982 and 1986 was quoted from the estimate of the 5th Five-year Economic plan. And the demands estimated for 1991 and 1996 reflected possible changes of diet from cereal to meat and their indirect effects on the increase of cereal consumption. As the advanced countries followed, consequently, the demands for soybean, corn and other feed grains were expected to be increased as well as the land for growing those crops. 1. Total annual demands for nitrogen, phosphorus and potassium fertilizers were estimated 1,050,000M/T, 1,110,000M/T, 1,280,000M/T and 1,010,000M/T for the year 1982, 1986, 1991, and 1996 respectively. 2. It was assumed that there would be difficulties in self-sufficiency of grains at the cost of the maximum utilization of land and fertilizers in 1996. 3. It was clear that the increase of the productivity per unit area is possible by improving the conditions of arable land which could resulted a self-sufficiency of food in Korea. As a consequence, the demand for fertilizers at that time would exceed the level of estimates. 4. The recent decrease in demand for commercial fertilizers (currently estimated 850,000M/T) was due to an inadequate application of fertilizers for respective crop reqirement. This inadequacy should be checked and encouraged the consumptions of fertilizers to be increased by supporting the price of grain.

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