• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.531-535
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• 2008

Project management of Urban Redevelopment that including a various projects is widely different with general project management. For that purpose, this research would offer to contribute the properties of urban redevelopment the solution for successful urban redevelopment. For offering this solution, this research analyzed the properties of urban redevelopment. The study is to analyze the problem of current urban redevelopment that be discrepant the changing paradigm.

• The Korean Journal of Nuclear Medicine Technology
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• v.19 no.2
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• pp.108-111
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• 2015

Purpose Lately, in accordance with the increasing interest about Healthcare accreditation program and International laboratory accreditation scheme, requirements about the instrument quality management are gradually taking shape. In nuclear medicine In vitro laboratory, the most typical instruments are multi detector gamma counter and automatic dispensing system. Each laboratory continue with the quality control adequate for circumstances. The purpose of this study is to application and establish the new Calibrator[I-125]Set which is efficient at standardization of equipment quality management. Materials and Methods Deviation between detectors were measured with 12 solid samples of the Calibrator[I-125]Set. their activities differ from each other by less than 1%. Multi detector gamma counters are GAMMA-10;Shinjin medics. Inc, Goyansi, Korea(Gamma counter A), SR300;Stratec biomedical systems AG, Gewerbestr, Germany(Gamma counter B) and COBRA II; Packard Instrument Co. Inc, Meriden, USA(Gamma counter C). Evaluation of two automatic dispensing system used A, B liquid tracer of the Calibrator[I-125]Set. After dispensing and counting, calculated using the ratio of the measured value and proposed value. We used solution A for 20, 25ul and solution B for 50, 100ul. Method of data analysis and reference range was provided by kit documentation. Furthermore, we could calculate our counter efficiency indirectly. Results The CV(%) of measured values by Gamma counter A, B, C are 0.34, 0.70, 1.30. Calculated value are 1.05314, 2.10419, 4.08485. Provided reference range is less than 3. A dispensing system's calculated values are 0.986, 0.989, 1.023, 1.017 and B are 0.874, 0.725, 1.021, 0.904. Provided reference range is from 0.95 to 1.05. Also, counter's efficiency are 74.18, 72.79, 74.32% at counter A, B, C and efficiency of the one detector counter is 79.26%. Conclusion If using this Calibrator[I-125]Set after verifying whether quality assurance, is applicable to equipment quality management on behalf of the role of gold standard.

• Journal of Korean Ophthalmic Optics Society
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• v.5 no.1
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• pp.95-99
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• 2000

The microbial contamination rate of contact lens cases in multi-purpose solution(MPS) care systems of 80 asymptomatic soft contact lens wearers was investigated. In caring for their lenses 72 patients (90%) used chemical disinfection(include MPS), six patients(7%) used hydrogen peroxide, and two patients(3%) used heat. Fifty-nine percent of patients used MPS in their care systems. Of 80 contact lens cases, contamination was found in 68%(54) of cases. There is a significant relationship between the ages of lens cases and contamination: older cases being more frequently contaminated. Of the contaminated 31 lens cases(57%) in MPS care systems, four contact lens cases(13%) were contaminated by single organism, 15 cases(48%) by two kinds of organisms, and 12 cases(39%) by more than three kinds of organisms. Of the organisms that were contaminated lens cases, Pseudomonas. Serratia, Bacillus, E. coli and Aspergillus were frequently isolated. When considering the high contamination rate of soft contact lens cases in MPS care systems more effective and hygienical lens care system is important, especially frequent and regular disposal of lens cases may prove to prevent the build-up of microbial colonisation in containers.

• Environmental and Resource Economics Review
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• v.21 no.1
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• pp.129-156
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• 2012

This study analyzes the contribution to the national economy of the stable water supply through managing multi-purpose dam. For the analysis, we consider 17 major multi-purpose dams and build a CGE model with summer water and winter water being the production factors as the base year of 2007. We analyze the economic impact of meeting water demand due to the dam management and estimate the risk premium of reducing the uncertainty of water supply. The analysis results show a significant production decrease in the industries of agriculture, forestry and fisheries and tap water as well as the food and beverage industry using the former industries' output as intermediates in the production and show an production increase largely in steel industry and electronic and electrical industries. Being compared to the benchmark solution, GNP is analyzed as being reduced by 0.22~0.68%. Meanwhile, the risk premium is estimated to be about 4 billion to 24 billion won for the value 01 the measure of relative risk aversion in the range 01 0.5 to 3.0.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.9
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• pp.3841-3848
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• 2012

The process of an analysis of alternatives(AoA) attempts to select the best and balanced solution among a set of multiple candidate solutions under the constraints of cost, schedule, performance and risk(CSPR). The traditional AoA for the acquisition of a new weapon system has usually centered on the sequence of the requirement analysis, design synthesis, and cost estimation. An improved process for AoA is developed in this paper based on a multi-objective decision-making method, which is intended to be applied in the design concept refinement and material solution analysis stage for the acquisition of naval surface ships. The presentation of the proposed AoA approach is then followed by a case study for the next generation multi-purpose training ship based on the principles of systems engineering and also using the models of the effectiveness measure, cost estimation, and risk assessments.

• Korean Journal of Artificial Intelligence
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• v.11 no.3
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• pp.17-22
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• 2023

In this paper, we propose a black ice detection system using Convolutional Neural Networks (CNNs). Black ice poses a serious threat to road safety, particularly during winter conditions. To overcome this problem, we introduce a CNN-based architecture for real-time black ice detection with an encoder-decoder network, specifically designed for real-time black ice detection using thermal images. To train the network, we establish a specialized experimental platform to capture thermal images of various black ice formations on diverse road surfaces, including cement and asphalt. This enables us to curate a comprehensive dataset of thermal road black ice images for a training and evaluation purpose. Additionally, in order to enhance the accuracy of black ice detection, we propose a multi-scale dilation convolution feature fusion (MsDC-FF) technique. This proposed technique dynamically adjusts the dilation ratios based on the input image's resolution, improving the network's ability to capture fine-grained details. Experimental results demonstrate the superior performance of our proposed network model compared to conventional image segmentation models. Our model achieved an mIoU of 95.93%, while LinkNet achieved an mIoU of 95.39%. Therefore, it is concluded that the proposed model in this paper could offer a promising solution for real-time black ice detection, thereby enhancing road safety during winter conditions.

• Textile Coloration and Finishing
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• v.32 no.1
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• pp.51-56
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• 2020

This study aims to pursue the multi-functional textile finishing method to detoxify chemical warfare agent by simply treating the well-known antimicrobial agent, chitosan, to cotton fabric. For this purpose, DFP(diisopropylfluorophosphate) was sele cted as a chemical warfare agent simulant and cotton fabric was treated with 0.5, 1.0, and 2wt% chitosan solution in 1wt% acetic acid. DFP decontamination properties of the chitosan treated cotton fabrics were evaluated and compared with the untreated cotton fabric. The chitosan treated cotton fabrics showed better DFP decontamination than the untreated cotton. Decontamination properties of the chitosan treated cotton fabrics improved with the increased chitosan solution used. Especially, the cotton fabrics treated with 2wt% chitosan solution showed 5 times more DFP decontamina tion than the untreated cotton fabrics. This suggested that the chitosan treated fabric has potential to be used as a material for protective clothing with chemical warfare agent detoxifying and antimicrobial properties.

• Structural Engineering and Mechanics
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• v.84 no.4
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• pp.489-502
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• 2022

This paper is aimed at developing an optimization-based Finite Element model updating approach for structural damage identification and quantification. A modal flexibility-based error function is introduced, which uses modal assurance criterion to formulate the updating problem as an optimization problem. Because of the inexplicit input/output relationship between the candidate solutions and the error function's output, a robust and efficient optimization algorithm should be employed to evaluate the solution domain and find the global extremum with high speed and accuracy. This paper proposes a new multi-stage Selective Particle Swarm Optimization (SPSO) algorithm to solve the optimization problem. The proposed multi-stage strategy not only fixes the premature convergence of the original Particle Swarm Optimization (PSO) algorithm, but also increases the speed of the search stage and reduces the corresponding computational costs, without changing or adding extra terms to the algorithm's formulation. Solving the introduced objective function with the proposed multi-stage SPSO leads to a smart feedback-wise and self-adjusting damage detection method, which can effectively assess the health of the structural systems. The performance and precision of the proposed method are verified and benchmarked against the original PSO and some of its most popular variants, including SPSO, DPSO, APSO, and MSPSO. For this purpose, two numerical examples of complex civil engineering structures under different damage patterns are studied. Comparative studies are also carried out to evaluate the performance of the proposed method in the presence of measurement errors. Moreover, the robustness and accuracy of the method are validated by assessing the health of a six-story shear-type building structure tested on a shake table. The obtained results introduced the proposed method as an effective and robust damage detection method even if the first few vibration modes are utilized to form the objective function.

• Journal of Korean Society of Environmental Engineers
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• v.35 no.7
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• pp.525-531
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• 2013

In an effort to find a solution to the eutrophication of major Korean rivers, a method to utilize multi-purpose filtration pond was investigated. As literature showed that oyster shell is known to be the most adequate for the removal of dissolved phosphorus in Korean rivers, batch and column experiments were performed using oyster shell as an adsorbent in this study. The results of the batch experiment showed that the removal of dissolved phosphorus from river water through adsorption as a way of preventing algal growth was not practical. The results obtained from the column experiment, however, suggested that oyster shell may be utilized as an adsorbent under limited conditions. Based on the results of the experiments a methodology was proposed to remove algae from river water through the use of multi-purpose filtration pond. This method involves mechanically removing the accumulated algae cake from the surface of the artificial stream in the pond towards the condensing part located at the lower reach of the stream, where particles gather before the final removal. In addition, employment of oyster shell as an adsorbent in the condensing part allows prevention of phosphorus released from the dead algae re-entering the river water.

• Journal of Korean Society of Transportation
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• v.17 no.4
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• pp.47-58
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• 1999

The Purpose of this Paper is to develop a multi-period bus scheduling model, in which a decomposition technique is applied. In general a bus scheduling requires a vast amount of calculation. Thus, a bus scheduling is a very complicated problem even with a single depot and is almost unable to obtain the optimal solution theoretically with many depots. In this paper in order to simplify the problem, the whole operating hours of a day are partitioned into several time periods. In one period, the same headways are maintained. For one period, the bus scheduling is simple and the solution applying the FIFO(First-In, First-Out) Principle is the optimal. However, connection between Periods remains as another scheduling Problem with a reduced problem size. This paper suggests how to connect bus schedules of consecutive periods efficiently, minimizing the operating cost. Through case studies for multiple routes with a single depot, this decomposition technique is proved to be effective practically.