• The Journal of Asian Finance, Economics and Business
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• v.4 no.2
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• pp.45-53
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• 2017

The main purpose of this study is to investigate the factors that have an impact on public policy, green products and technology in Kuala Lumpur, given government initiatives to boost the environment awareness. The data used in this study was collected by distribution questionnaires randomly in six areas of Kuala Lumpur and 400 respondents were interviewed. Based on a literature review, three hypotheses were stated and tested using structural equation modeling (SEM). SEM is a statistical analysis method that involved two or more variables in analyzing structural relationships among the variables. The SEM model shows that green products and government policies have a direct influence on environmental awareness. However, green technology does not have a direct influence on environmental awareness. Since, knowledge on green technology does not have a significant impact on raising environmental awareness among the public, a much more pragmatic awareness campaign needs to be put in place to use green technology as a part of modern living. The study suggests that the urban population needs to be more aware of the environmental issue as cities tend to have better infrastructure to raise public awareness on green issues. Moreover, the government should increase the environmental awareness among younger generation through workshops, seminars, campaigns, and pamphlets.

• Journal of Industrial Convergence
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• v.20 no.12
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• pp.87-96
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• 2022

The Ministry of Land, Infrastructure and Transport has also been promoting the commercialization of land transport technology to commercialize the technologies owned by small and medium-sized venture companies, and to support the transfer and commercialization of public technologies. At this point, in order to improve the investment effect of subsequent new projects and to select excellent research institutes, it is necessary to establish a valid evaluation index system suitable for the purpose of the project. The evaluation index system for subsequent new projects should be linked to the project objectives and goals of the preceding project, and should be selected in consideration of existing evaluation indicators to prevent interruption of research results. Therefore, this thesis sets the evaluation index system into multiple scenarios through hierarchical cluster analysis using the evaluation result data for each evaluation committee for small and medium venture companies participating in the land transportation technology commercialization support project, and then analyzes the structural equation model. As a result of scenario analysis, considering the measurement effect of each path representing the causal relationship between evaluation indicators and the effect of each evaluation index on evaluation items, the scenario with the highest impact on the evaluation result was selected as an improvement plan.

• Journal of Institute of Control, Robotics and Systems
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• v.21 no.6
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• pp.538-546
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• 2015

This paper describes an intelligent ankle assistive robot which provides assistive power to reduce ankle torque based on an analysis of ankle motion and muscle patterns during walking on level and sloped floors. The developed robot can assist ankle muscle power by driving an electric geared motor at the exact timing through the use of an accelerometer that detects gait phase and period, and a potentiometer to measure floor slope angle. A simple muscle assistive link mechanism is proposed to convert the motor torque into the foot assistive force. In particular, this mechanism doesn't restrain the wearer's ankle joint; hence, there is no danger of injury if the motor malfunctions. During walking, the link mechanism pushes down the top of the foot to assist the ankle torque, and it can also lift the foot by inversely driving the linkage, so this robot is useful for foot drop patients. The developed robot and control algorithm are experimentally verified through walking experiments and EMG (Electromyography) measurements.

• Journal of Information Science Theory and Practice
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• v.10 no.spc
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• pp.66-75
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• 2022

The manufacturing industry is the foundation that drives economic growth, and manufacturing innovation is essential for sustainable growth advantage and the transition into a digital economy. Therefore, major countries actively support the field of simulations, which incorporate information and communication technologies into manufacturing, and announce various policies at the national level along with increasing investment. Simulation technology virtualizes product development processes to replace physical production and experimentation of products, dramatically reducing time and costs. In South Korea, the Korea Institute of Science and Technology Information (KISTI) has supported manufacturing companies for about 14 years by providing relevant technologies. This study uses the input-output table for the Bank of Korea to analyze the economic ripple effect. First, we identified the domestic industrial sector dealing with the supercomputing-based simulation industry. Then we analyzed its ripple effects by dividing them into the production inducement effect, value-added inducement effect, employment inducement effect, and forward/backward linkage effect. Consequently, when the supercomputing simulation budget of KISTI (28.3 billion won, 2007-2020) was set as an input coefficient, the analysis showed 45.1 billion won as the production inducement effect, 24.7 billion won as the value-added inducement effect, and 282 individuals per 1 billion won as the employment inducement effect. This study is significant in that it derived the effects of the inputs by analyzing the economic ripple effects of the projects of KISTI, which have been supporting South Korean manufacturing companies for the past 14 years with supercomputing-based simulations.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.55 no.4
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• pp.397-407
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• 2022

This study investigated the collagen and texture properties of commonly consumed sliced raw fish species (CC-SRF) [olive flounder (OF), red seabream (RS), Atlantic salmon (AS), coho salmon (CoS) and sockeye salmon (SS)] distributed in Korea as sliced raw fishes. The crude lipid contents of CC-SRF were 5.5% for OF, 6.8% for RS, 18.5% for AS, 16.1% for CoS, and 5.7% for SS. The collagen content and solubility from CC-SRF were 622 mg/100 g and 78.0%, respectively, in OF, 270 mg/100 g and 75.6%, respectively, in RS, 237 mg/100 g and 24.1%, respectively, in AS, 341 mg/100 g and 65.7%, respectively, in CoS, and 246 mg/100 g and 17.9%, respectively, in SS. The texture of CC-SRF was affected by the lipid content, collagen content, acid solubility, hydroxylation, and cross linkage degree. The highest hardness of CC-SRF was obtained from OF, followed by RS, SS, AS and CoS. There was, however, no difference (P>0.05) in hardness between OF and RS and between AS and CoS.

• Nuclear Engineering and Technology
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• v.40 no.3
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• pp.225-232
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• 2008

To understand the effect of the cyclic strain rate on the environmentally assisted cracking behaviors of SA508 Gr.1a low alloy steel in deoxygenated water at $310^{\circ}C$, the fatigue surface and a sectioned area of specimens were observed after low cycle fatigue tests. On the fatigue surface of the specimen tested at a strain rate of 0.008 %/s, unclear ductile striations and a blunt crack tip were observed. Therefore, metal dissolution could be the main cracking mechanism of the material at this strain rate. On the other hand, on the fatigue surfaces of the specimens tested at strain rates of 0.04 and 0.4 %/s, brittle cracks and flat facets, which are evidences of the hydrogen induced cracking, were observed. In addition, a tendency of linkage between the main crack and the micro-cracks was observed on the sectioned area. Therefore, at higher strain rates, the main cracking mechanism could be hydrogen induced cracking. Additionally, evidence of the dissolved MnS inclusions was observed on the fatigue surface from energy dispersive x-ray spectrometer analyses. Thus, despite the low sulfur content of the test material, the sulfides seem to contribute to environmentally assisted cracking of SA508 Gr.1a low alloy steel in deoxygenated water at $310^{\circ}C$.

• The Journal of the Korea Contents Association
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• v.10 no.6
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• pp.49-54
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• 2010

As information on gene sequences is not only diverse but also extremely huge in volume, high-performance computer and information technology techniques are required to build and analyze gene sequence databases. This has given rise to the discipline of bioinformatics, a field of research where computers are utilized to collect, to manage, to save, to evaluate, and to analyze biological data. In line with such continued development in bioinformatics, the Korea Institute of Science and Technology Information (KISTI) has built an infrastructure for the biological information, based on the information technology, and provided the information for researchers of bioscience. This paper analyzes the reference fields of Genbank, the most frequently used gene database by the global researchers among the life information databases, and proposes the interface method to NDSL which is the science and technology information integrated service provided by KISTI. For these, after collecting Genbank data from NCBI FTP site, we rebuilt the database by separating Genbank text files into the basic gene data and the reference data. So new tables are generated through extracting the paper and patent information from Genbank reference fields. Then we suggest the method of connection with the paper DB and the patent DB operated by KISTI.

• Journal of Medicine and Life Science
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• v.21 no.3
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• pp.53-61
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• 2024

With the rapid development of technology and societal change, a shift from traditional classroom instruction to more diverse educational methods in medical education is necessary. As an effective approach to providing flexibility and accessibility while maintaining the benefits of face-to-face interactions, blended learning, which integrates online and offline learning, has gained attention. This study examines the current status and best practices of the aforementioned blended learning, analyzes its application in domestic and international contexts, and derives effective instructional design strategies. A comprehensive review of previous research and empirical cases reveals a conceptual framework and core principles for designing such blended learning. Key considerations include strategic integration of online and offline activities, facilitation of self-directed learning and interaction, effective use of technology, and continuous quality improvement. Furthermore, we suggest contextually relevant strategies, such as designing curricula focused on clinical reasoning, providing iterative practice opportunities, enhancing reflection, and fostering future competencies. The case analysis establishes that blended learning is implemented in various forms across different medical schools and curricula. Common features include the linkage of online and offline learning, incorporation of learner-centered methods, and emphasis on practical competencies. However, the limited number of cases suggests that generalizations may be premature. Successful implementation requires multifaceted efforts, including gradual introduction, faculty support, flexible curricula, safety measures, and institutional support. Accumulating empirical research and evidence of their effectiveness can facilitate their wider dissemination. This study provides implications and future directions for innovative medical education using hybrid learning.

• Journal of the Korea Institute of Military Science and Technology
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• v.21 no.6
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• pp.767-775
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• 2018

To develop and check a Radar Processor Unit, checking the function and performance of the requirement is very important factor in developing Radar. General methods for verifying the Radar is simulation test, environment linkage test and field operation test, firstly, in case of requirement analysis phase, verify Radar algorithm and design by using mathematical method based simulation test method, and secondly, in case of unit test and integrated test phase, Test Equipment is set to simulate radar environment in the lab to verify radar function and performance. Lastly, field operation test phase is carried out to confirm the function and performance after it is mounted on the actual equipment. To successfully develop Radar Processor Unit, using the method of field operation test method after sufficient test cases are tested in radar environmental interlocking method in order to save cost and testing period and because of this reason, development of the Radar Processor Unit Test Equipment is becoming very important factor. In this paper, we introduce the concept of test equipment development and important factors in test equipment, which are target simulation, data processing and device interlocking.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.3
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• pp.755-778
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• 2024

In recent years, the number of devices being connected to the internet has grown enormously, as has the intrusive behavior in the network. Thus, it is important for intrusion detection systems to report all intrusive behavior. Using deep learning and machine learning algorithms, intrusion detection systems are able to perform well in identifying attacks. However, the concern with these deep learning algorithms is their inability to identify a suitable network based on traffic volume, which requires manual changing of hyperparameters, which consumes a lot of time and effort. So, to address this, this paper offers a solution using the extended compact genetic algorithm for the automatic tuning of the hyperparameters. The novelty in this work comes in the form of modeling the problem of identifying attacks as a multi-objective optimization problem and the usage of linkage learning for solving the optimization problem. The solution is obtained using the feature map-based Convolutional Neural Network that gets encoded into genes, and using the extended compact genetic algorithm the model is optimized for the detection accuracy and latency. The CIC-IDS-2017 and 2018 datasets are used to verify the hypothesis, and the most recent analysis yielded a substantial F1 score of 99.23%. Response time, CPU, and memory consumption evaluations are done to demonstrate the suitability of this model in a fog environment.