• The Korean Journal of Archival Studies
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• no.45
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• pp.5-50
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• 2015

In 2012, the International Council on Archives(ICA) distributed AtoM public release, an archival description software based on web, for free to support small archival institutions. The purpose of AtoM project was to let a single or multiple repositories describe archival materials based on ICA descriptive standards and access via a web browser. The value of AtoM project is to promote actual business experience by sharing technical expertise and form active community between users and developers. Recently, there is a growing interest in open source software in the field of domestic record management. This interest is to not only reduce cost, but to escape technology dependencies and to address requirements on the field. The critical mind of this study lies in the fact that there is no practical methodology to establish AtoM system. Even when using AtoM itself, basic tasks such as the migration of the existing data or the improvement of user interface are required. That is why this study suggests the process and methodologies to establish and customize archival information system based on AtoM software.

• KEPCO Journal on Electric Power and Energy
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• v.5 no.1
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• pp.39-43
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• 2019

Hydrogen energy has positive effects as an alternative energy source to overcome the energy shortage issues. On the other hand, since stability is very important in use, sensor technology that enables accurate and rapid detection of hydrogen gas is highly required. In this study, hydrogen sensor was developed on AlGaN/GaN heterostructure platform using Pd catalyst where a recess structure was employed to improve the sensitivity. Temperature and bias voltage dependencies on sensitivity were carefully investigated using a hydrogen concentration of 4% that is the safety threshold concentration. Due to the excellent properties of AlGaN/GaN heterostructure in conjunction with the recess structure, a very high sensitivity of 56% was achieved with a fast response speed of 0.75 sec.

• Applied Chemistry for Engineering
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• v.22 no.4
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• pp.433-438
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• 2011

In this study, effects of temperature, NSR, and oxygen concentration on the $NO_x$ removal efficiency of an SNCR process were investigated experimentally as well as numerically using CHEMKIN-II program. The NO removal efficiency increased with the reactor temperature under oxygen-free condition, whereas when the oxygen concentration was 4%, the NO removal efficiency showed a maximum value at $900{\sim}950^{\circ}C$. The pressure of oxygen was shown to enhance the NO removal at low temperature. Regardless of the oxygen concentration, the NO removal efficiency increased with NSR. The temperature and NSR-dependencies of the NO removal efficiency predicted by CHEMKIN-II simulations were similar to that of the experimental results.

• Bulletin of the Korean Chemical Society
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• v.9 no.6
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• pp.333-337
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• 1988

Spinel $CoFe_2O_4$ solid solutions containing up to 50 mol% CoO were synthesized with spectroscopically pure CoO and ${\alpha}-Fe_2O_3$ polycrystalline powders. The spinel structures of the $CoFe_2O_4$ solid solutions were analyzed from XRD patterns and the Mossbauer spectra showed that the quenched $CoFe_2O_4$ had a partially inversed spinel structure ($Co_{0.23}Fe_{0.77}$) < $Co_{0.77}Fe_{1.23}$ > $O_4$, while the slowly cooled $CoFe_2O_4$ was completely inversed spinel ($Co_{0.04}Fe_{0.96}$) <$Co_{0.96}Fe_{1.04}$ > $O_4$. The $CoFe_2O_4$ specimens containing 10, 20, 30 and 40 mol% CoO turned to be a mixture of corundum and spinel structures. Electrical conductivities were measured as a function of temperature from 300 to $900^{\circ}C$ under oxygen partial pressures from $10^{-3}$ to 1 atm. The temperature dependencies of the electrical conductivity show different behaviors in the low- and high-temperature regions. The average activation energies are 0.23 eV and 0.80 eV in the low- and high-temperature regions, respectively. It is suggested that $Co^{2+} {\to} CO^{3+} + e^-$ and $Fe^{2+} {\rightleftharpoons} Fe^{3+} + e^-$ are the main conduction mechanisms responsible for the electronic conduction in the low- and high-temperature regions, respectively.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.16 no.5
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• pp.3-13
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• 2006

As computing devices become ubiquitous and increasingly mobile, it becomes obvious that a synchronous and direct peer-to-peer communication model is not sufficient in distributed computing environment. Using an indirect event service instead of other traditional communication model has an advantage of decreasing the coupling of applications in a distributed environment and removing the need for many static dependencies. In this paper, we design and implement the secure event service for providing secure ubiquitous computing environment. The Secure Event Service implemented enables users to perform content-based event retrieval, and supports only eligible event comsumer and event producer can publish and receive events through the secure event service. SPKI/SDSI certificate is used for supporting authentication and authorization in the secure event service. In order to provide a content-based event retrieval, an asynchronous communication between event producers and consumers, and a disconnectedness support for mobile devices, we modify and expand the Javaspace package.

• Journal of Radiation Protection and Research
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• v.47 no.1
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• pp.30-38
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• 2022

Background: Residential areas have some factors on the external exposure of residents, who usually spend a long time in these areas. Although various survey has been carried out by the government or the research institutions after the Fukushima Daiichi Nuclear Power Plant accident, the mechanism of radiocesium inventory in the terrestrial zone has not been cleared. To better evaluate the radiation environment, this study investigated the temporal changes in air dose rate and ¹³⁷Cs inventories (Bq/m²) in residential areas and agricultural fields. Materials and Methods: Air dose rate and ¹³⁷Cs inventories were investigated in residential areas located in an evacuation zone at 5-8 km from the Fukushima Daiichi Nuclear Power Plant. From December 2014 to September 2018, the air dose rate distribution was investigated through a walking survey (backpack survey), which was conducted by operators carrying a γ-ray detector on their backs. Additionally, from December 2014 to January 2021, the ¹³⁷Cs inventories on paved and permeable grounds were also measured using a portable γ-ray detector. Results and Discussion: In the areas where decontamination was not performed, the air dose rate decreased faster in residential areas than in agricultural fields. Moreover, the ¹³⁷Cs inventory on paved surfaces decreased with time owing to the horizontal wash-off, while the ¹³⁷Cs inventory on permeable surfaces decreased dramatically owing to the decontamination activities. Conclusion: These findings suggest that the horizontal wash-off of ¹³⁷Cs on paved surfaces facilitated the air dose rate decrease in residential areas to a greater extent compared with agricultural fields, in which the air dose rate decreased because of the vertical migration of ¹³⁷Cs. Results of this study can explain the faster environmental restoration in a residential environment reported by previous studies.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.15 no.3
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• pp.189-197
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• 2022

With the development of high-performance computing technology and the advancement of numerical model, it is possible to predict the better weather forecasting. The purpose of this paper is the performance improvement for the SCAM climate model for the model running time excluding the compilation time. Therefore, the model previously performed using the Intel Fortran Compiler was changed to PGI Fortran Compiler. To this end, we reconfigure system environment variables, reset compilation options, install dependencies SW and library, and modify source code. In addition, we proposed and applied the 'PGI Compile with OpenACC' method. As a result, when the compiler was changed from intel to PGI, it led to an improvement of 6.08% in running time and when the openACC method was applied, it led to an improvement of 43.05% in running time. This demonstrates that the PGI Compile with OpenACC method proposed in this paper leads to excellent performance.

• The Korean Journal of Franchise Management
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• v.13 no.4
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• pp.23-37
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• 2022

Purpose: The Korean franchise market has undergone drastic growth in recent years. Followed by expansion of franchise business types, relevant legal matters have diversified. Compared to conventional economic laws that focused on resolving problems related to unfair transactions between franchisors and franchisees, more diverse labor laws have emerged recently due to governance and economic dependencies of franchise structure. However, it was found that the business environment of franchisees and working conditions of franchisee employees have not changed accordingly due to the unique structure of franchise business. Though franchisees are entrepreneurs independent from franchisors, they are still under franchising contract with the franchisors. For instance, employees of franchisees have been exposed to malpractices in regard to pay, time, and other working conditions. These malpractices may show the ineffectiveness of current labor laws. Labor management is an important issue for sustainability of franchise businesses. Negative publicity of franchises generated from violating relevant labor laws may have significant negative impact on overall image of franchised brands. However, franchisors should not hold franchisees fully responsible for legal violations in terms of labor management but strive to prevent relevant risks. Thus, the recent amendment in labor law related to increased minimum wage and reduced worktime have called for more attention to effectively implementing the law. Research design, data, and methodology: This study was conducted through a review of franchise-related laws and various institutions and policies. Results: It is further needed for all parties, including franchisors, franchisees, and franchisee employees, to take collaborative actions to improve working conditions of franchisees. Therefore, this study aims to propose appropriate and effective response plans toward recent changes in the Minimum Wage Act, while strengthening sustainability of franchisors, franchisees, and their employees. Conclusions: The proposal mainly contains plans regarding profit-related aids and profit sharing/cost reduction strategies for franchisees, as well as collective bargaining in the franchisor-franchisee relation. More detailed suggestions are included. Conclusions: This proposal may help franchisors and policymakers develop business plans and policies in improving business conditions of franchisees and working conditions of franchisee employees.

• Smart Structures and Systems
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• v.29 no.1
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• pp.251-266
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• 2022

Structural Health Monitoring (SHM) of critical infrastructure comprises a major pillar of maintenance management, shielding public safety and economic sustainability. Although SHM is usually associated with data-driven metrics and thresholds, expert judgement is essential, especially in cases where erroneous predictions can bear casualties or substantial economic loss. Considering that visual inspections are time consuming and potentially subjective, artificial-intelligence tools may be leveraged in order to minimize the inspection effort and provide objective outcomes. In this context, timely detection of sensor malfunctioning is crucial in preventing inaccurate assessment and false alarms. The present work introduces a sensor-fault detection and interpretation framework, based on the well-established support-vector machine scheme for anomaly detection, combined with a coalitional game-theory approach. The proposed framework is implemented in two datasets, provided along the 1st International Project Competition for Structural Health Monitoring (IPC-SHM 2020), comprising acceleration and cable-load measurements from two real cable-stayed bridges. The results demonstrate good predictive performance and highlight the potential for seamless adaption of the algorithm to intrinsically different data domains. For the first time, the term "decision trajectories", originating from the field of cognitive sciences, is introduced and applied in the context of SHM. This provides an intuitive and comprehensive illustration of the impact of individual features, along with an elaboration on feature dependencies that drive individual model predictions. Overall, the proposed framework provides an easy-to-train, application-agnostic and interpretable anomaly detector, which can be integrated into the preprocessing part of various SHM and condition-monitoring applications, offering a first screening of the sensor health prior to further analysis.

• Smart Structures and Systems
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• v.29 no.1
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• pp.17-28
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• 2022

The cable component of cable-stayed bridges is gradually impacted by weather conditions, vehicle loads, and material corrosion. The stayed cable is a critical load-carrying part that closely affects the operational stability of a cable-stayed bridge. Damaged cables might lead to the bridge collapse due to their tension capacity reduction. Thus, it is necessary to develop structural health monitoring (SHM) techniques that accurately identify damaged cables. In this work, a combinational identification method of three efficient techniques, including statistical analysis, clustering, and neural network models, is proposed to detect the damaged cable in a cable-stayed bridge. The measured dataset from the bridge was initially preprocessed to remove the outlier channels. Then, the theory and application of each technique for damage detection were introduced. In general, the statistical approach extracts the parameters representing the damage within time series, and the clustering approach identifies the outliers from the data signals as damaged members, while the deep learning approach uses the nonlinear data dependencies in SHM for the training model. The performance of these approaches in classifying the damaged cable was assessed, and the combinational identification method was obtained using the voting ensemble. Finally, the combination method was compared with an existing outlier detection algorithm, support vector machines (SVM). The results demonstrate that the proposed method is robust and provides higher accuracy for the damaged cable detection in the cable-stayed bridge.