• Title/Summary/Keyword: 최적비용

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Performance assessment of an urban stormwater infiltration trench considering facility maintenance (침투도랑 유지관리를 통한 도시 강우유출수 처리 성능 평가)

  • Reyes, N.J. D.G.;Geronimo, F.K.F.;Choi, H.S.;Kim, L.H.
    • Journal of Wetlands Research
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    • v.20 no.4
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    • pp.424-431
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    • 2018
  • Stormwater runoff containing considerable amounts of pollutants such as particulates, organics, nutrients, and heavy metals contaminate natural bodies of water. At present, best management practices (BMP) intended to reduce the volume and treat pollutants from stormwater runoff were devised to serve as cost-effective measures of stormwater management. However, improper design and lack of proper maintenance can lead to degradation of the facility, making it unable to perform its intended function. This study evaluated an infiltration trench (IT) that went through a series of maintenance operations. 41 monitored rainfall events from 2009 to 2016 were used to evaluate the pollutant removal capabilities of the IT. Assessment of the water quality and hydrological data revealed that the inflow volume was the most relative factor affecting the unit pollutant loads (UPL) entering the facility. Seasonal variations also affected the pollutant removal capabilities of the IT. During the summer season, the increased rainfall depths and runoff volumes diminished the pollutant removal efficiency (RE) of the facility due to increased volumes that washed off larger pollutant loads and caused the IT to overflow. Moreover, the system also exhibited reduced pollutant RE for the winter season due to frozen media layers and chemical-related mechanisms impacted by the low winter temperature. Maintenance operations also posed considerable effects of the performance of the IT. During the first two years of operation, the IT exhibited a decrease in pollutant RE due to aging and lack of proper maintenance. However, some events also showed reduced pollutant RE succeeding the maintenance as a result of disturbed sediments that were not removed from the geotextile. Ultimately, the presented effects of maintenance operations in relation to the pollutant RE of the system may lead to the optimization of maintenance schedules and procedures for BMP of same structure.

Hydrogeochemical Assessment of Groundwater Quality Security in the Collection Conduit Area, Naeseong-Cheon (내성천 집수매거의 수질 확보를 위한 충적층 지하수의 수질 특성 평가)

  • Shin, Kyung-Hee;Cha, Eun-Jee;Son, Yeong-Cheol;Lee, Seung-Hyun;Kim, Gyoo-Bum
    • The Journal of Engineering Geology
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    • v.23 no.1
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    • pp.1-17
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    • 2013
  • It is sometimes necessary to change the location of the collection conduit, which is constructed in shallow sediments in a stream, if the concentrations of $Fe^{2+}$ and $Mn^{2+}$ become too high for water treatment. A total of nine wells, including four shallow wells with a depth of 3 m and five deeper wells with a depth of 6 m, were installed in the study area at Naeseong-cheon in Yecheon-gun. The change in hydrogeochemical features of groundwater and the concentrations of $Fe^{2+}$ and $Mn^{2+}$ were examined at the wells during 5 hours of pumping. As pumping was performed, the velocity of groundwater flow was increased around the pumping well and aeration conditions were developed to precipitate iron and manganese oxides in an oxidizing environment. In addition, the concentrations of $Ca^{2+}$ and $Cl^-$ at the pumping well were increased following the mixing of surface water and groundwater. It is suggested that the center region of the stream would be more suitable for a new collection conduit, considering the concentrations of $Fe^{2+}$ and $Mn^{2+}$ in groundwater and their reducing effect during pumping. The installation of a collection conduit based on field tests performed to ensure water quality enables a reduction in the construction and management costs at water treatment facilities.

A Numerical Study on the Agglomeration of Algae by the Ultrasonic Wave (초음파를 이용한 미세조류 응집에 관한 수치해석 연구)

  • Ha, Ji Soo;Shim, Sung Hun;Jung, Sang Hyun
    • Journal of Energy Engineering
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    • v.25 no.1
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    • pp.23-28
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    • 2016
  • In spite of various merit of algae as biofuel, the production cost of algae is a considerable obstacle for commercialization. The concurrent development of essential technologies is needed for the cultivating, harvesting, extracting and energy transformation. The production cost of algae biofuel has still higher than that of the other commercial biofuel. The major research activity has been focused on the cultivating and the research of other processes has been done with relatively lower activity. It is difficult to separate the algae from water because of the similar magnitude of density each other. The agglomeration and extracting of algae with the hybrid technology using ultrasonic wave is rare effect of environmental hazard and also it is appropriate technology for the next generation energy resources. The present research is investigated for the effective separation of algae from water with the ultrasonics wave. The aim of the present research is focused on the establishment of optimal design of algae agglomeration system. For this purpose, the computational fluid dynamic analysis has been conducted in the flow field with ultrasonic wave and algae flow to clarify the mechanism of algae separation by ultrasonic wave.

Illuminant Chromaticity Estimation via Optimization of RGB Channel Standard Deviation (RGB 채널 표준 편차의 최적화를 통한 광원 색도 추정)

  • Subhashdas, Shibudas Kattakkalil;Yoo, Ji-Hoon;Ha, Yeong-Ho
    • Journal of the Institute of Electronics and Information Engineers
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    • v.53 no.6
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    • pp.110-121
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    • 2016
  • The primary aim of the color constancy algorithm is to estimate illuminant chromaticity. There are various statistical-based, learning-based and combinational-based color constancy algorithms already exist. However, the statistical-based algorithms can only perform well on images that satisfy certain assumptions, learning-based methods are complex methods that require proper preprocessing and training data, and combinational-based methods depend on either pre-determined or dynamically varying weights, which are difficult to determine and prone to error. Therefore, this paper presents a new optimization based illuminant estimation method which is free from complex preprocessing and can estimate the illuminant under different environmental conditions. A strong color cast always has an odd standard deviation value in one of the RGB channels. Based on this observation, a cost function called the degree of illuminant tinge(DIT) is proposed to determine the quality of illuminant color-calibrated images. This DIT is formulated in such a way that the image scene under standard illuminant (d65) has lower DIT value compared to the same scene under different illuminant. Here, a swarm intelligence based particle swarm optimizer(PSO) is used to find the optimum illuminant of the given image that minimizes the degree of illuminant tinge. The proposed method is evaluated using real-world datasets and the experimental results validate the effectiveness of the proposed method.

Design of a Wastewater Treatment Plant Upgrading to Advanced Nutrient Removal Treatment Using Modeling Methodology and Multivariate Statistical Analysis for Process Optimization (하수처리장의 고도처리 upgrading 설계와 공정 최적화를 위한 다변량 통계분석)

  • Kim, MinJeong;Kim, MinHan;Kim, YongSu;Yoo, ChangKyoo
    • Korean Chemical Engineering Research
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    • v.48 no.5
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    • pp.589-597
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    • 2010
  • Strengthening the regulation standard of biological nutrient in wastewater treatment plant(WWTP), the necessity of repair of WWTP which is operated in conventional activated sludge process to advanced nutrient removal treatment is increased. However, in full-scale wastewater treatment system, it is not easy to fine the optimized operational condition of the advanced nutrient removal treatment through experiment due to the complex response of various influent conditions and operational conditions. Therefore, in this study, an upgrading design of conventional activated sludge process to advanced nutrient removal process using the modeling and simulation method based on activated sludge model(ASMs) is executed. And a design optimization of advanced treatment process using the response surface method(RSM) is carried out for statistical and systematic approach. In addition, for the operational optimization of full-scale WWTP, a correct analysis about kinetic variables of wastewater treatment is necessary. In this study, through partial least square(PLS) analysis which is one of the multivariable statistical analysis methods, a correlation between the kinetic variables of wastewater treatment system is comprehended, and the most effective variables to the advanced treatment operation result is deducted. Through this study, the methodology for upgrading design and operational optimization of advanced treatment process is provided, and an efficient repair of WWTP to advanced treatment can be expected reducing the design time and costs.

Large-scale Virtual Power Plant Management Method Considering Variable and Sensitive Loads (가변 및 민감성 부하를 고려한 대단위 가상 발전소 운영 방법)

  • Park, Yong Kuk;Lee, Min Goo;Jung, Kyung Kwon;Lee, Yong-Gu
    • Journal of the Institute of Electronics and Information Engineers
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    • v.52 no.5
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    • pp.225-234
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    • 2015
  • Nowadays a Virtual Power Plant (VPP) represents an aggregation of distributed energy resource such as Distributed Generation (DG), Combined Heat and Power generation (CHP), Energy Storage Systems (ESS) and load in order to operate as a single power plant by using Information and Communication Technologies, ICT. The VPP has been developed and verified based on a single virtual plant platform which is connected with a number of various distributed energy resources. As the VPP's distributed energy resources increase, so does the number of data from distributed energy. Moreover, it is obviously inefficient in the aspects of technique and cost that a virtual plant platform operates in a centralized manner over widespread region. In this paper the concept of the large-scale VPP which can reduce a error probability of system's load and increase the robustness of data exchange among distributed energy resources will be proposed. In addition, it can directly control and supervise energy resource by making small size's virtual platform which can make a optimal resource scheduling to consider of variable and sensitive load in the large-scale VPP. It makes certain the result is verified by simulation.

A Study on the competitive status and cooperative schemes of Korea-China ports (한·중 항만의 경쟁실태와 협력 방안)

  • Kim, Hong-seop
    • Journal of Distribution Science
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    • v.5 no.2
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    • pp.55-78
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    • 2007
  • Northeast Asia is one of the regions which have been developing so rapidly. Yellow sea, located between Korea and China, became a very important logistical zone because of its huge volume of cargo and big passenger traffic. These two countries continuously are enlarging their port facilities such as berths, container yards, storage capacity and their information system in this the Pan Yellow sea area. Two countries also introduce many new liner routes and car-ferry shipping services. Therefore there must be a severe competitions and conflicts among the countries and their companies and ports as well. Some experts worry about the over capacity of port and logistics facilities. This paper investigated the current conditions of Korea-China shipping route, container and car-ferry route, and found out the problems and tasks, with the support of many experts. There are so many alternatives and strategies to solve and rationalize the shipping route and the problems of ports of two countries. This paper suggest many strategies connecting with marketing 4Ps. As port service is also a kind of service product, we can categorize the strategies into 4Ps suggested by McCarthy. And this paper classify all these alternatives into 3 dimensions. There are competitive strategies, cooperative strategies and coopetition strategies. This paper propose some directions and ideas for adopting the strategy in the port and logistical topics between Korea and China, suggesting 3 dimensions of strategies. After this paper, many diagnoses and practical investigations should be executed to introduce optimal solutions and minimize the additional cost.

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The impact of the patent through open innovation on the performance of the pharmaceutical and biotechnology firms (글로벌 제약·바이오 기업의 개방형 혁신 특허가 기업 성과에 미치는 영향)

  • Lee, Byoungho;Lee, Sang-Won
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.9
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    • pp.356-365
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    • 2017
  • Most studies of the effects of corporate patents on managerial performance conducted to date have been based on internally-generated patents. However, global pharmaceutical and biotechnology companies acquire patents not only from internal research and development (R&D), but also through university-industry collaboration and purchase. Focusing on this issue, our study collected patents from various sources, including internal R&D, purchased patents, and university-industry collaboration, to examine the real effects more accurately. Additionally, our study used a finite time lag model to consider the time lag between patent and corporate performance. The results of the quantitative analysis of the relationship between patents and corporate financial performance revealed that patent quantitative levels had less impact on sales than other types. However, quantitative patents levels appeared to have a significant impact on market value. Moreover, quantitative patent levels appeared to moderate impact on corporate profit. Patents acquired by internal R&D had the greatest impact on market value, while purchased patents had the greatest impact on corporate profit and sales. The purchased patents had a significant effect on financial performance in the pharmaceutical and biotechnology companies because of the long time required and expense associated with R&D. Overall, the results of this study provide the basis for global pharmaceutical and biotechnology companies to configure an optimal patent portfolio.

A Study on Optimal Stage Gauge Network Considering Correlation of Individual Stage Gauge Station (관측소간의 상관관계를 고려한 수위관측망 최적화 연구)

  • Joo, Hong jun;Kim, Duck hwan;Kim, Jung wook;Choi, Chang hyun;Han, Dae gun;Lee, Ji ho;Kim, Hung soo
    • Journal of Wetlands Research
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    • v.18 no.4
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    • pp.404-412
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    • 2016
  • This paper not only aims to establish a plan to acquire the water stage data in a constant and proper manner by using limited manpower and costs, but also establishes the fundamental technology for acquiring the water level observation data or the stage data. For this, this paper focuses on how to acquire the stage data, in a uniform manner, that can represent each basin by developing the technology for establishing the optimal observational network. For that, this paper identifies the current status of the stage gauge stations installed in the ChungJu dam including wetland basin mainly along the national rivers. Then, thus obtained factors are used to develop the representative unit hydrograph. After that, the data are converted into the probability density function. Then, the stations are calculated information transfer amount. As a last step, we establish the optimized stage gauge network by the location of the stage station and space impact that takes into account for the combinations of the number of the stations. In other words, we consider the combination of the stage gauge station with information transfer amount and spatial correlation analysis for estimation.

Fast PU Decision Method Using Coding Information of Co-Located Sub-CU in Upper Depth for HEVC (상위깊이의 Sub-CU 부호화 정보를 이용한 HEVC의 고속 PU 결정 기법)

  • Jang, Jae-Kyu;Choi, Ho-Youl;Kim, Jae-Gon
    • Journal of Broadcast Engineering
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    • v.20 no.2
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    • pp.340-347
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    • 2015
  • HEVC (High Efficiency Video Coding) achieves high coding efficiency by employing a quadtree-based coding unit (CU) block partitioning structure and various prediction units (PUs), and the determination of the best CU partition structure and the best PU mode based on rate-distortion (R-D) cost. However, the computation complexity of encoding also dramatically increases. In this paper, to reduce such encoding computational complexity, we propose three fast PU mode decision methods based on encoding information of upper depth as follows. In the first method, the search of PU mode of the current CU is early terminated based on the sub-CBF (Coded Block Flag) of upper depth. In the second method, the search of intra prediction modes of PU in the current CU is skipped based on the sub-Intra R-D cost of upper depth. In the last method, the search of intra prediction modes of PU in the lower depth's CUs is skipped based on the sub-CBF of the current depth's CU. Experimental results show that the three proposed methods reduce the computational complexity of HM 14.0 to 31.4%, 2.5%, and 23.4% with BD-rate increase of 1.2%, 0.11%, and 0.9%, respectively. The three methods can be applied in a combined way to be applied to both of inter prediction and intra prediction, which results in the complexity reduction of 34.2% with 1.9% BD-rate increase.