• Proceedings of the Korean Vacuum Society Conference
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• 2016.02a
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• pp.417-417
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• 2016

Global environmental deterioration has become more serious year by year and thus scientific interests in the renewable energy as environmental technology and replacement of fossil fuels have grown exponentially. Photoelectrochemical (PEC) cell consisting of semiconductor photoelectrodes that can harvest light and use this energy directly to split water, also known as photoelectrolysis or solar water splitting, is a promising renewable energy technology to produce hydrogen for uses in the future hydrogen economy. A major advantage of PEC systems is that they involve relatively simple processes steps as compared to many other H2 production systems. Until now, a number of materials including TiO2, WO3, Fe2O3, and BiVO4 were exploited as the photoelectrode. However, the PEC performance of these single absorber materials is limited due to their large charge recombinations in bulk, interface and surface, leading low charge separation/transport efficiencies. Recently, coupling of two materials, e.g., BiVO4/WO3, Fe2O3/WO3 and CuWO4/WO3, to form a type II heterojunction has been demonstrated to be a viable means to improve the PEC performance by enhancing the charge separation and transport efficiencies. In this study, we have prepared a triple-layer heterojunction BiVO4/WO3/SnO2 photoelectrode that shows a comparable PEC performance with previously reported best-performing nanostructured BiVO4/WO3 heterojunction photoelectrode via a facile solution method. Interestingly, we found that the incorporation of SnO2 nanoparticles layer in between WO3 and FTO largely promotes electron transport and thus minimizes interfacial recombination. The impact of the SnO2 interfacial layer was investigated in detail by TEM, hall measurement and electrochemical impedance spectroscopy (EIS) techniques. In addition, our planar-structured triple-layer photoelectrode shows a relatively high transmittance due to its low thickness (~300 nm), which benefits to couple with a solar cell to form a tandem PEC device. The overall PEC performance, especially the photocurrent onset potential (Vonset), were further improved by a reactive-ion etching (RIE) surface etching and electrocatalyst (CoOx) deposition.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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• v.9 no.1
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• pp.33-40
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• 2011

In the compacted bentonite containing $Ag_2O$, the transport of iodide ion was investigated by Through-diffusion method. It is confirmed that Iodide ion is transported by diffusion process in the compacted bentonite containing $Ag_2O$ as well as in the compacted bentonite without $Ag_2O$. However, the lag-time of iodide ion in the compacted bentonite containing $Ag_2O$ is larger than that in the compacted bentonite without $Ag_2O$. The increase of the lag-time was observed in pure iodide ion solution and also in 0.1M NaCl-iodide ion solution. The apparent diffusion coefficient of iodide ion in the compacted bentonite containing $Ag_2O$ has lower value than that in the compacted bentonite without $Ag_2O$. The effect of $Ag_2O$ on the effective diffusion coefficient was not clearly investigated in the compacted bentonite containing $Ag_2O$ while the values of effective diffusion coefficient of iodide ion in the compacted bentonite without $Ag_2O$ obtained in this study were similar to those in the compacted bentonite reported in the literature.

• Journal of KIISE:Computing Practices and Letters
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• v.14 no.2
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• pp.158-170
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• 2008

In response to the changing demands of ever competitive market, SK Telecom has built a new marketing system that can support dynamic marketing campaigns and, at the same time, scale up to the large volumes of data and transactions for the next decade. The system which employs Unix-based client-server (using Web browser interfaces) architecture will replace the current mainframe-based COIS system. The project, named NGM (Next Generation Marketing ), is unprecedentedly large in scale. However, both managerial and technical problems led the project into a crisis. The application framework that depended on a software solution from a major global vendor could not support the dynamic functionalities required for the new system. In March 2005, SK telecom declared the suspension of the NGM project. The second phase of the project started in May 2005 following a comprehensive replanning. It was decided that no single existing solution could cope with the complexity of the new system and hence the new system would be custom-built. As such. a number of technical challenges emerged. In this paper, we report on the three key dimensions of technical challenges - middleware and application framework, database architecture and tuning, and system performance. The processes and approaches, adopted in building NGM system, may be viewed as "best practices" in the telecom industry. The completed NGM system, now called "U.key System," successfully came into operation on the ninth of October, 2006. This new infrastructure is expected to give birth to a series of innovative, fruitful, and customer-oriented applications in the near future.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.7
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• pp.29-37
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• 2020

In the past, meta-heuristic optimization algorithms were developed to solve the problems caused by complex nonlinearities occurring in natural phenomena, and various studies have been conducted to examine the applicability of the developed algorithms. The self-adaptive vision correction algorithm (SAVCA) showed excellent performance in mathematics problems, but it did not apply to complex engineering problems. Therefore, it is necessary to review the application process of the SAVCA. The SAVCA, which was recently developed and showed excellent performance, was applied to the advanced Muskingum flood routing model (ANLMM-L) to examine the application and application process. First, initial solutions were generated by the SAVCA, and the fitness was then calculated by ANLMM-L. The new value selected by a local and global search was put into the SAVCA. A new solution was generated, and ANLMM-L was applied again to calculate the fitness. The final calculation was conducted by comparing and improving the results of the new solution and existing solutions. The sum of squares (SSQ) was used to calculate the error between the observed and calculated runoff, and the applied results were compared with the current models. SAVCA, which showed excellent performance in the Muskingum flood routing model, is expected to show excellent performance in a range of engineering problems.

• Structural Monitoring and Maintenance
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• v.2 no.1
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• pp.77-93
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• 2015

The idea of using measured dynamic characteristics for damage detection is attractive because it allows for a global evaluation of the structural health and condition. However, vibration-based damage detection for complex structures such as long-span cable-supported bridges still remains a challenge. As a suspension or cable-stayed bridge involves in general thousands of structural components, the conventional damage detection methods based on model updating and/or parameter identification might result in ill-conditioning and non-uniqueness in the solution of inverse problems. Alternatively, methods that utilize, to the utmost extent, information from forward problems and avoid direct solution to inverse problems would be more suitable for vibration-based damage detection of long-span cable-supported bridges. The auto-associative neural network (ANN) technique and the probabilistic neural network (PNN) technique, that both eschew inverse problems, have been proposed for identifying and locating damage in suspension and cable-stayed bridges. Without the help of a structural model, ANNs with appropriate configuration can be trained using only the measured modal frequencies from healthy structure under varying environmental conditions, and a new set of modal frequency data acquired from an unknown state of the structure is then fed into the trained ANNs for damage presence identification. With the help of a structural model, PNNs can be configured using the relative changes of modal frequencies before and after damage by assuming damage at different locations, and then the measured modal frequencies from the structure can be presented to locate the damage. However, such formulated ANNs and PNNs may still be incompetent to identify damage occurring at the deck members of a cable-supported bridge because of very low modal sensitivity to the damage. The present study endeavors to enhance the damage identification capability of ANNs and PNNs when being applied for identification of damage incurred at deck members. Effort is first made to construct combined modal parameters which are synthesized from measured modal frequencies and modal shape components to train ANNs for damage alarming. With the purpose of improving identification accuracy, effort is then made to configure PNNs for damage localization by adapting the smoothing parameter in the Bayesian classifier to different values for different pattern classes. The performance of the ANNs with their input being modal frequencies and the combined modal parameters respectively and the PNNs with constant and adaptive smoothing parameters respectively is evaluated through simulation studies of identifying damage inflicted on different deck members of the double-deck suspension Tsing Ma Bridge.

• Convergence Security Journal
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• v.17 no.3
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• pp.41-49
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• 2017

According to a research by global IT market research institute IDC, CSIM(Converged Security Information Management) market of Korea was estimated to be 1.7 trillion KRW in 2010, and it has grown approximately 32% every year since. IDC forcasts this size to grow to 12.8 trillion KRW by 2018. Moreover, this case study exemplifies growing importance of CSIM market worldwide. Traditional CSIM solution consists of various security solutions(e.g. firewall, network intrusion detection system, etc.) and devices(e.g. CCTV, Access Control System, etc.). With this traditional solution, the the data collected from these is used to create events, which are then used by the on-site agents to determine and handle the situation. Recent development of IoT industry, however, has come with massive growth of IoT devices, and as these can be used for security command and control, it is expected that the overall amount of event created from these devices will increase as well. While massive amount of events could help determine and handle more situations, this also creates burden of having to process excessive amount of events. Therefore, in this paper, we discuss potential events that can happen in CSIM system and classify them into 3 groups, and present a model that can categorize and process these events effectively to increase overall efficieny of CSIM system.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.13 no.4
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• pp.183-196
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• 2018

In this study, we conducted in - depth interviews of young entrepreneurs who are currently in the process of establishing new entrepreneurs management diagnosis and consulting for young entrepreneurs, and found the common difficulties experienced in young entrepreneurs' perception of entrepreneurship, In addition, through a case study, we verified product suitability through customer issue / solution suitability, idea marketability verification and MVP (Minimum Viable Product) using Lean Canvas according to the structure of Lean Start-up It is aimed at voluntary management diagnosis and consulting of small business owners, activation of young entrepreneurs' entrepreneurship, and reduction of startup failure rate. The purpose of this study is to examine the items of five young entrepreneurs from the perspective of the customer for about 10 months, focusing on the case of small entrepreneurs in the small entrepreneurs support project. Or we could provide the customer's problem or solution based on Lean Start-up. This study was conducted as a case - based qualitative study due to the limited sample and it is hoped that this study will be used as a basic research to verify the effectiveness of the lean start-up methodology for small business owners through quantitative research.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.9
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• pp.304-315
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• 2018

Harmony Search (HS) is a recently developed metaheuristic algorithm that is widely known to many researchers. However, due to the increasing complexity of optimization problems, the optimal solution cannot be efficiently found by HS. To overcome this problem, there have been many studies that have improved the performance of HS by modifying the parameter settings and incorporating other metaheuristic algorithms. In this study, Copycat HS (CcHS) is suggested, which improves the parameter setting method and the performance of searching for the optimal solution. To verify the performance of CcHS, the results were compared to those of HS variants with a set of well-known mathematical benchmark problems. The effectiveness of CcHS was proven by finding final solutions that are closer to the global optimum than other algorithms in all problems. To analyze the applicability of CcHS to engineering optimization problems, it was applied to a design problem for Water Distribution Systems (WDS), which is widely applied in previous research. As a result, CcHS proposed the minimum design cost, which was 21.91% cheaper than the cost suggested by simple HS.

• Journal of Chest Surgery
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• v.33 no.8
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• pp.605-612
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• 2000

Background: Ischemic preconditioning enhances the tolerance of myocardium against ischemia/reperfusion injury, with the enhancement of the recovery of post-ischemic myocardial function. This study was disigned to assess whether the protective effect of ischemic preconditioning could provide one additional hour of myocardial preservation in four hour myocardial ischemia in a rate heart. Material and method: Fourty four Spargue-Dawley rats, weighing 300~450gm, were divided into four groups. Group 1(n=7) and group 3(n=12) were subjected to 30 minutes of aerobic Langendorff perfusion without ischemic preconditioning and then preserved in saline solution at 2~4$^{\circ}C$ for 4 hours and 5 respectively. Group 2(n=7) and group 4(n=18) were perfused in the same way for 20 minutes, followed by 3 minutes of global mormothermic ischemia and 10 minutes of perfusion and then preserved in the same cold saline solution for 4 hours and 5 hours respectively. Heart rate, left ventricular developed pressure(LVDP), and coronary flow were measured at 15 minutes during perfusion as baseline. Spontaneous defibrillation time was measured after reperfusion. Heart rate, LVDP, and coronary flow were also recorded at 15 minutes, 30 minutes, and 45 minutes during reperfusion. Samples of the apical left ventricular wall were studied using a transmission electron microscope. Result: Time of spontaneous defibrillation(TSD) was significantly longer in group 4 than in group 1(p<0.001), and TSD in group 1 was significantly longer in comparision to that of group 2(p<0.05). Heart rate at 45 minutes was significantly higher in group 1 than in group 4(p<0.05). Heart rate at 15 min was significantly higher in group 2 than in group 1(p<0.001) and in group 4 than in group 3(p<0.05). Left ventricular developed pressure(LVDP) at 30 minutes and 45 minutes was higher in group 1 than in group 4(p<0.01), LVDP at 45 minutes was higher in group 4 than in group 3(p<0.05). Rate-pressure product(RPP) at 30 minutes and 45 minutes was higher in group 1 than in group 4(p<0.05). RPP at 15 minutes was higher in group 2 than in group 1(p<0.01). RPP at 30 minutes and 45 minutes was higher in group 4 than in group 3(p<0.05). Group 2 showed relatively less sarcoplasmic edema and less nuclear chromatin clearance than group 1. Group 4 showed less myocardial cell damage than group 3, group 4 showed less myocardial cell damage than group 3, group 4 showed more myocardial cell edema than group 1. Conclusion: Ischemic preconditioning enhanced the recovery of postischemic myocardial function after 4 hours and 5 hours preservation. However, it was not demonstrated that ischemic preconditioning could definitely provide one additional hour of myocardial preservation in four hour myocardial ischemia in a rat heart.

• Journal of Korea Water Resources Association
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• v.47 no.2
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• pp.183-194
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• 2014

Discussions for water resources vulnerability and index development with sustainable concept are actively being made in recent years. Based on such index, water resources vulnerability of present and future is determined and diagnosed. This study calculated the water resources vulnerability rankings by 152 nations, using indicator related to water resources assessment that can be obtained from World Bank, VRI (Vulnerability Resilience Indicator), ESI (Environmental Sustainability Index). In order to quantitatively assess of water resources vulnerability based on this indicator, TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) technique was applied to index water vulnerability and to determine the rankings by nations. As a results, South Korea was ranked as the 88th among the 152 nations including Korea. Among the continents, Oceania was the least vulnerable and Afirica was the most vulnerable in continents. WUnited State, Japan, Korea and China were vulnerable in order among the major countries. Therefore, water resources vulnerability rankings by nations in this study helps us to better understand the situation of South Korea and provide the data for water resources planning and measure.