• The KIPS Transactions:PartD
• /
• v.18D no.5
• /
• pp.371-384
• /
• 2011

This paper considers logistics decision support system which deals with transportation mode selection considering transportation and carbon emission cost. Transportation and carbon emission costs vary with the choice of transportation modes and to become competitive companies need to find proper transportation modes for their logistics services. However, due to the restricted capacity of transportation modes, it is difficult to balance transportation and carbon emission costs when designing logistics network including transportation mode choice for each service. Therefore this paper aims to analyze the trade-off relationship between transportation and carbon emission cost in mode selection of intermodal transportation and to provide optimal green logistics strategy. In this paper, the logistics decision support system is designed based on mixed integer programming model. To understand the trade-off relationship of transportation and carbon emission cost, the system is tested with various scenarios including transportation of containers between Seoul and Busan. The analysis results show that, even though sea transportation combined with trucking is competitive in carbon emission per unit distance travelled, the total cost of carbon emission and transportation for the sea transportation may not have competitive advantage over other transportation modes including rail and truck transportation modes. The sea-based intermodal logistics service may induce detours which have negative impacts on the overall carbon emission. The proposed logistics decision support system is expected to play key role in green logistics and supply chain management.

• Korean Journal of Construction Engineering and Management
• /
• v.18 no.1
• /
• pp.74-82
• /
• 2017

It is known that energy usage from Korean Universities was growing rapidly in the early 2000s. But since 2011, the change was caused by GHG emissions regulation enforced by the government. The purpose of this research was to find the characteristics and trends of greenhouse gas emissions from major universities in Korea according to the each university's data and information. The result shows that GHG emissions from University have increased steadily prior to enforcement by 4-5% annually, but the rate of increase marked 0.5~1% in 2011~2013 is the season of emission regulation and the total amount of emissions decreased 3%~5% in 2014~2015 while preparing an emissions trading scheme. Therefore we can say that the enforcement of GHG reduction such as energy target management system makes a visible effect at least in the University sector that level of GHG emissions is from $75kg/m^2$ to $58Kg/m^2$ for seven years. Another result says that the size of research fund is the main factor that affects the amount of GHG emissions before 2011, but the size of building area has been a new factor influencing the GHG emission since 2013. Thus we suggest that the criteria for evaluating the level of GHG emission from University is suitable if it is based on the building area intensity.

• Korean journal of applied entomology
• /
• v.59 no.3
• /
• pp.203-207
• /
• 2020

Monitoring about nine high risk insect pests, Aceria diospyri, Bactrocera dorsalis, Bactrocera minax, Bactrocera tsuneonis, Cydia pomonella, Lobesia botrana, Proeulia sp., Solenopsis invicta and Stephanitis takeyai, were carried out in seven regions from April to October in 2019. A total of 12,285 traps/visual scouting were investigated in 288 points of 87 local sites of seven regions, resulting the nine species, A. diospyri, B. dorsalis, B. minax, B. tsuneonis, C. pomonella, L. botrana, Proeulia sp., S. invicta, and S. takeyai, were not detected. This study have been carried out from 2018, and we established the nationwide monitoring system and secured a bridgehead for monitoring invasive insect pests passing the border.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.33 no.2
• /
• pp.791-800
• /
• 2013

Needs for developing a better way of cost estimating process for public construction projects have been widely recognized. Those needs are mainly from the early phases of the project through the construction life cycle due to the its importance to the control process. In contrast to the traditional estimating method based on unit-price references, this research utilized this following process. The first step is analyzing the real cost data from actual cost activities (2000~2010) about the statement of P.S.C(Prestressed Concrete) Box Girder Bridge. The collected data was broken into four categories based on technical construction methods such as I.L.M(Incremental Launching Method), M.S.S(Movable Scaffolding System), F.S.M(Full Staging Method), and F.C.M(Free Cantilever Method). The second, actual design documents including the actual cost estimating documents, drawings and specifications were carefully reviewed to cluster the cost itemized statement from four categories. It was also attempted to seek the proper breakdown of standard works that are responsible for more than 95 percentage in each categories in terms of its cost. The third, this research comes up the index for standard unit materials and unit price of standard work and develops the approximate estimating model applying for the specification(length and breadth of bridges) per square area that the user takes as well as suggests the practical application plan within the original time alloted.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.16 no.6
• /
• pp.90-100
• /
• 2017

The purpose of this study is to detect and label the vehicles using the drone images as a way to overcome the limitation of the existing point and section detection system and vehicle gap estimation on Arterial road. In order to select the appropriate time zone, position, and altitude for the acquisition of the drone image data, the final image data was acquired by shooting under various conditions. The vehicle was detected by applying mixed Gaussian, image binarization and morphology among various image analysis techniques, and the vehicle was labeled by applying Kalman filter. As a result of the labeling rate analysis, it was confirmed that the vehicle labeling rate is 65% by detecting 185 out of 285 vehicles. The gap was calculated by pixel unitization, and the results were verified through comparison and analysis with Daum maps. As a result, the gap error was less than 5m and the mean error was 1.67m with the preceding vehicle and 1.1m with the following vehicle. The gaps estimated in this study can be used as the density of the urban roads and the criteria for judging the service level.

• Journal of the Korea Society for Simulation
• /
• v.15 no.2
• /
• pp.59-69
• /
• 2006

Component-based software development is introduced as a new development paradigm in software development method. This approach is different from existing software development approach because it is based on reusable and autonomous unit, component. Therefore, component-based development(CBD)is divided into two stages; component development process and component assembly process; application development process. Component development process is the core of CBD because component has a key for good software. Currently many methodologies or tools have been introduced by various academies or industries. However, those don't suggest systematic and flexible modeling techniques adaptable easily into component development project. Existing approaches have a unique orarbitrary modeling technique or provide heuristic guidelines for component modeling. As a result, many component developers are faced with a difficult problems; how to developcomponent models, when develop which diagrams, and so on. In order to address this problem, we suggest a meta-model driven approach for component development in this paper. We provide meta-models according to both layer and development phase. We expect that suggested meta-models allow component developers to develop appropriate models of the time.

• Korean Journal of Agricultural and Forest Meteorology
• /
• v.18 no.4
• /
• pp.298-306
• /
• 2016

Planting date shift is one of the means of adapting to climate change in Kimchi Cabbage growers in major production areas in Korea. This study suggests a method to estimate the potential yield of Kimchi Cabbage based on daily temperature accumulation during the growth period from planting to maturity which is determined by a plant phenology model tuned to Kimchi Cabbage. The phenology model converts any changes in the thermal condition caused by the planting date shift into the heat unit accumulation during the growth period, which can be calculated from daily temperatures. The physiological maturity is estimated by applying this model to a variable development rate function depending either on growth or heading stage. The cabbage yield prediction model (Ahn et al., 2014) calculates the potential yield of summer cabbage by accumulating daily heat units for the growth period. We combined these two models and applied to the 1km resolution climate scenario (2000-2100) based on RCP8.5 for South Korea. Potential yields in the current normal year (2001-2010) and the future normal year (2011-2040, 2041-2070, and 2071-2100) were estimated for each grid cell with the planting dates of July 1, August 1, September 1, and October 1. Based on the results, we divided the whole South Korea into 810 watersheds, and devised a three - dimensional evaluation chart of the time - space - yield that enables the user to easily find the optimal planting date for a given watershed. This method is expected to be useful not only for exploring future new cultivation sites but also for developing cropping systems capable of adaptation to climate change without changing varieties in existing production areas.

• Proceedings of the Korea Database Society Conference
• /
• 1998.09a
• /
• pp.509-524
• /
• 1998

정보시스템 개발노력의 상당수는 실패로 끝나고 있다. 최근 통계에 따르면 정보시스템 개발 프로젝트의 반은 실패로 끝난다고 한다［kaplan, 1998］. 이와 같은 높은 실패율은 시스템 개발을 위한 노력을 체계적으로 투입하지 못하고 개발 프로젝트를 관리하기 위한 노력을 단위프로젝트 차원에서만 집중시키는데서 연유한다고 생각된다. 다시 말해 장기적인 관점에서 개발조직의 역량 향상이라는 보다 근본적인 목표를 간과하고 있는 것이다. 이러한 점에 착안하여 소프트웨어 엔지니어링 분야에서는 정보시스템 개발과 관련'한 개발 조직의 능력을 향상시키기 위한 다양한 접근방법이 제시되고 있다. 개발조직의 개발 프로세스 성숙도를 진단하기 위한 측정도구로 개발된 카네기멜론대학의 CMM(Capability Maturity Model)과 ISO 에서 정의한 표준인 SPICE (Software Process Improvement and Capability dEtermination) 모델이 그 대표적인 예에 속한다. 그러나 이와 같은 모델들은 개발조직의 프로세스 개선을 위한 방향과 요건은 제시하고 있지만, 이를 조직 내에서 구현하기 위한 구체적인 방법이나 수단은 제시해주지 못하고 있다. 따라서 이러한 접근방법 역시 소프트웨어 엔지니어링 역량 이나 개발경험이 일천한 우리 현실에서는 부분적인 성과 이상을 기대하기는 어려웠다. 본 연구에서는 이와 같은 문제점이 개발 프로젝트와 관련된 경험이나 지식을 효과적으로 추출하고, 획득하고, 체계화하고, 시스템화하여 조직 내에서 활용하려는 노력이 부족한기 때문이라고 본다. 이에 본 연구에서는 개발조직의 역량 향상을 위한 지식관리적 접근 방법의 세가지 유형을 제시하기로 한다.>$Ca^{2＋}$ 는 뿌리에서, $Mg^{2＋}$ 는 잎에서 많았으며, $PO_4$$^{-}$ 는 과실과 줄기에서 많았다. 배지간에 따른 차이는 나타나지 않았으며, $K^{+}$, $Ca^{2＋}$ 및 $Mg^{2＋}$ 는10:0에서, $PO_4$$^{-}$ 는 8:2에서 각각 많았다.해 제품을 판매하였으며, 기업 및 제품이미지 제고를 위한 고객에 대한 서비스도 강화하고 있었다. 통신기기업체내지 소프트웨어 산업으로의 진출이 가능할 수 있도록 상호진출을 허용할 필요가 있다고 본다. 이를 위해서 우리 나라 정부 역시 미국처럼 새로운 통신개혁법을 만들 필요가 있다. 새로운 통신개혁법의 핵심적인 사항으로서 첫째, 통신과 CATV간의 상호진입을 허용, 둘째, 통신사업자가 통신관련 기기산업에 참여할 수 있는 규제완화를 허용, 셋째, 유아단계에 있는 소프트웨어 및 컨테트산업을 육성하는데 산업육성책 수립 등을 적극적으로 추진하여야 할 것이다. 그리고 현재 국내 재벌기업들로 구성되어 있는 기반산업을 지원하는 기술개발 지원체제와 육성정책을 소프트웨어 및 컨텐트의 응용산업으로 개편할 필요성도 제시되며, 이를 위해 범부처 차원에서 소프트웨어 및 컨텐트 육성정책을 지원하는 종합적인 대책을 마련해야 한다고 본다.서, Li-K, Li-Na탄산염에 대하여 부 식거동을 검토한 결과, 가압하에서 내식성이 향상되는 것이 발견되었다. 이유로서는 가압하에서 용융탄산엽의 증가된 산화력으로 보다 치밀한 내식성 산화물 피막이 형성되기 때문으로 생각되고 있다. 또

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.13 no.3
• /
• pp.197-205
• /
• 2020

Korean language has the characteristics that the pronunciation of phoneme units such as vowels and consonants are fixed and the pronunciation associated with a notation does not change, so that foreign learners can approach rather easily Korean language. However, when one pronounces words, phrases, or sentences, the pronunciation changes in a manner of a wide variation and complexity at the boundaries of syllables, and the association of notation and pronunciation does not hold any more. Consequently, it is very difficult for foreign learners to study Korean standard pronunciations. Despite these difficulties, it is believed that systematic analysis of pronunciation errors for Korean words is possible according to the advantageous observations that the relationship between Korean notations and pronunciations can be described as a set of firm rules without exceptions unlike other languages including English. In this paper, we propose a visualization framework which shows the differences between standard pronunciations and erratic ones as quantitative measures on the computer screen. Previous researches only show color representation and 3D graphics of speech properties, or an animated view of changing shapes of lips and mouth cavity. Moreover, the features used in the analysis are only point data such as the average of a speech range. In this study, we propose a method which can directly use the time-series data instead of using summary or distorted data. This was realized by using the deep learning-based technique which combines Self-organizing map, variational autoencoder model, and Markov model, and we achieved a superior performance enhancement compared to the method using the point-based data.

• Environmental and Resource Economics Review
• /
• v.20 no.4
• /
• pp.827-858
• /
• 2011

In Korea, various environmentally harmful subsidies are granted in agriculture, fishery, energy, electricity, transportation, steel and shipbuilding industry. Examples include tax-exempt fuel for agriculture & fishery, VAT- exemption for briquette & anthracite, temporary subsidy for fuel, production stabilizing subsidy for coal mining, subsidy for briquette. Korea's yearly total subsidy in energy area is about 5,291 billion won, among them is 4,870 billion won. To reduce air pollutants and to mitigate climate change, Korea has to review the phase-out of environmentally harmful subsidies and the phase-in of environment-friendly subsidy. The reduction or removal of environmentally harmful subsidies will enhance economic efficiency and bring about environmental benefits. Economic efficiency means less use of inputs, which reduces environmental cost and improves social benefits. This paper applies the Shoven and Whalley's model to the Korean economy and analyzes the general equilibrium incidence effects of reforming environmentally harmful subsidies in the energy and electricity in Korea. We consider several counterfactual scenarios in which current environmentally harmful subsidies are reduced or abolished, compare them with the reference case in the economy, and evaluated the change in efficiency costs and distributional incidence of tax reforms related to subsidies.