• Journal of the Earthquake Engineering Society of Korea
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• v.14 no.6
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• pp.1-9
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• 2010

Most of shear wall structures require openings in shear walls and thus shear walls are linked by floor slabs or coupling beams resulting in the coupled shear wall structures. When these structures are subjected to seismic excitations, excessive shear forces are induced in coupling beams. Accordingly, brittle failure of coupling beams may occur or shear walls may yield first. To avoid this problem, damping devices can be installed in coupling beams. It can increase the vibration control effect and improve the seismic resistance performance of the coupled shear wall structure by avoiding stress concentration and the brittle failure of coupling beams. Based on this background research, an LRB (lead rubber bearing) was introduced in the middle of the coupling beam in this study and the authors investigated the seismic response control effect and stress distribution of the proposed system. To this end, a modeling technique that can effectively predict the structural behavior of coupled shear wall structures has been proposed. With this proposed technique, time history analyses of the example coupled shear wall structure subjected to seismic excitation were performed and the vibration control effects of the seismic responses were investigated.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.11
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• pp.593-606
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• 2016

Computer simulation is widely used in a variety of computational science and engineering fields, including computational fluid dynamics, nano physics, computational chemistry, structural dynamics, and computer-aided optimal design, to simulate the behavior of a system. As the demand for the accuracy and complexity of the simulation grows, however, the cost of executing the simulation is rapidly increasing. It, therefore, is very important to lower the total execution time of the simulation especially when that simulation makes a huge number of repetitions with varying values of input parameters. In this paper we develop a simulation service system that provides the ability to predict the result of the requested simulation without actual execution for that simulation: by recording and then returning previously obtained or predicted results of that simulation. To achieve the goal of avoiding repetitive simulation, the system provides two main functionalities: (1) storing simulation-result records into database and (2) predicting from the database the result of a requested simulation using statistical machine learning techniques. In our experiments we evaluate the prediction performance of the system using real airfoil simulation result data. Our system on average showed a very low error rate at a minimum of 0.9% for a certain output variable. Using the system any user can receive the predicted outcome of her simulation promptly without actually running it, which would otherwise impose a heavy burden on computing and storage resources.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.8
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• pp.3500-3512
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• 2012

The purpose of this study is to conduct a comparative analysis of health behaviors, health status, and health care utilization by the homeland of the internationally married women immigrants living in Korea. The subjects of this study were 171 married women immigrants who are registered at 7 multicultural centers in Chungbuk province. The study was conducted from September 2010 to November 2010 by surveying them with structured questionnaires translated in 7 different languages. In health behaviors the results indicated that there were statistically significant differences in high intensity exercise, walking, weight control, and the number of times having breakfast per week depending on the subject's homeland. In health status, there were statistically significant differences in low back pain incidence and obesity rate by the subject's homeland. In health care utilization, the subjects revealed statistically significant differences in utilizing health screening, in selecting primary medical institutes, and in the reasons for avoiding medical institutes depending on the subject's homeland. Health promotion policies that take the results of this research into account would provide suitable health care services for internationally married migrant women.

• KIPS Transactions on Computer and Communication Systems
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• v.5 no.4
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• pp.95-102
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• 2016

Computer security incident such as confidential information leak and data destruction are constantly growing and it becomes threat to information in digital devices. To respond against the incident, digital forensic techniques are also developing to help digital incident investigation. With the development of digital forensic technology, a variety of forensic artifact has been developed to trace the behavior of users. Also, a diversity of forensic tool has been developed to extract information from forensic artifact. However, there is a issue that information from forensic tools has its own forms. To solve this problem, it needs to process data when it is output from forensic tools. Then it needs to compare and analyze processed data to identify how data is related each other and interpret the implications. To reach this, it calls for effective method to store and output data in the course of data processing. This paper aims to propose DFIOC (Digital Forensic Indicators Of Compromise) that is capable of transcribing a variety of forensic artifact information effectively during incident analysis and response. DFIOC, which is XML based format, provides "Evidence" to represent various forensic artifacts in the incident investigation. Furthermore, It provides "Forensic Analysis" to report forensic analysis result and also gives "Indicator" to investigate the trace of incidence quickly. By logging data into one sheet in DFIOC format for forensic analysis process, it is capable of avoiding unnecessary data processing. Lastly, since collected information is recorded in a normalized format, data input and output becomes much easier as well as it will be convenient to use for identification of collected information and analysis of data relationship.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.11
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• pp.253-263
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• 2018

This paper examined the U-shape curvilinear relationship between team level conflict management and individual level turnover intention by using exit-voice theory, bandwagon effect, and social loafing theory. In addition to the non-linear relationship between team-level conflict management and individual-level turnover intentions, we also examined how trust in leaders has a moderating effect on this relationship. The samples were collected from a South Korean manufacturing company with 331 team members from 48 teams and items were measured twice to avoid common method biases. The intercepts-as-outcomes model of hierarchical linear modelling was conducted to verify the hypothesis. Results supported the cross-level curvilinear hypothesis which indicated that employees' turnover intention sharply decreased if the activeness of group conflict management was small and increases slightly, but this tendency moderated as activeness increases. After passing the lowest point, their turnover intention increased in the end. However, the moderation effect of trust in leader on this relationship was not statistically significant and hypothesis 2 was rejected. This paper explained the effects of group dynamics of conflict management on individual turnover intention. Such evidence may elucidate the importance of managing the social loafing behavior on conflict management process. This paper examined the sequential, multi-level, and curvilinear relationship between conflict management and turnover intention. Organizations and managers will benefit from avoiding the human resource loss by managing the conflict management process.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.32 no.4
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• pp.215-222
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• 2019

The heat conduction problem with discontinuous material coefficients generally consists of the conservative equation, boundary condition, and interface condition, which should be additionally satisfied in the solution procedure. This feature often makes the development of new numerical schemes difficult as it induces a layered singularity in the solution fields; thus, a special approximation is required to capture the singular behavior. In addition to the approximation, the construction of a total system of equations is challenging. In this study, a wedge function is devised for enriching the approximation, and the interface condition itself is embedded in the moving least squares(MLS) derivative approximation to consistently satisfy the interface condition. The heat conduction problem is then discretized in a strong form using the developed derivative approximation, which is named as the interface immersed MLS difference method. This method is able to efficiently provide a numerical solution for such interface problems avoiding both numerical quadrature as well as extra difference equations related to the interface condition enforcement. Numerical experiments proved that the developed numerical method was highly accurate and computationally efficient at solving the heat conduction problem with interfacial jump as well as the problem with a geometrically induced interfacial singularity.

• (The) Korean Journal of Advertising
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• v.28 no.2
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• pp.7-25
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• 2017

The previous studies regarding prosocial behavior have been researched based on donors' personal traits and the effects of donees emotions. However, studies in identifying the effects of regulatory focus as motivational traits and the emotions resulting from donees' expression on prosocial behaviors have not been researched as much thoroughly. Specifically, consumers with prevention-focus perceive fit as the goal attainability process by avoiding negative factors. Thus, it is expected that the intentions of doing a charitable deed greater will more increase when the donees look sad than when they look happy. On the other hand, consumers with promotion-focus perceive fit as the consequential benefits of goal attainability when they are in the condition of a positive emotion. As a result, the intention of doing a charitable deed is expected to be increased greater when the donees have happier faces than sad faces. According to the experimental results, consumers with prevention focus more intended to do a charitable deed when the donees' expression was presented with a sad expression by mediating sadness. On the contrary, consumers with promotion focus show higher intention of doing a charitable deed when the donees looked happier by mediating happy feelings. This study has a theoretical meaningfulness in respect to expanding previous research concerning regulatory focus into donation contexts. Furthermore, this study has practical implications by presenting the donation strategies on information presentations of donees.

• Journal of Internet Computing and Services
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• v.24 no.4
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• pp.25-36
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• 2023

Today, as AI (Artificial Intelligence) technology is introduced in various fields, including security, the development of technology is accelerating. However, with the development of AI technology, attack techniques that cleverly bypass malicious behavior detection are also developing. In the classification process of AI models, an Adversarial attack has emerged that induces misclassification and a decrease in reliability through fine adjustment of input values. The attacks that will appear in the future are not new attacks created by an attacker but rather a method of avoiding the detection system by slightly modifying existing attacks, such as Adversarial attacks. Developing a robust model that can respond to these malware variants is necessary. In this paper, we propose two methods of generating Adversarial attacks as efficient Adversarial attack generation techniques for improving Robustness in AI models. The proposed technique is the XAI-based attack technique using the XAI technique and the Reference based attack through the model's decision boundary search. After that, a classification model was constructed through a malicious code dataset to compare performance with the PGD attack, one of the existing Adversarial attacks. In terms of generation speed, XAI-based attack, and reference-based attack take 0.35 seconds and 0.47 seconds, respectively, compared to the existing PGD attack, which takes 20 minutes, showing a very high speed, especially in the case of reference-based attack, 97.7%, which is higher than the existing PGD attack's generation rate of 75.5%. Therefore, the proposed technique enables more efficient Adversarial attacks and is expected to contribute to research to build a robust AI model in the future.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.3
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• pp.73-87
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• 2023

Furnishing traffic safety information can contribute to providing hazard warnings to drivers, thereby avoiding crashes. A smart road lighting platform that instantly recognizes road conditions using various sensors and provides appropriate traffic safety information has therefore been developed. This study analyzes the short-term traffic safety improvement effects of the smart road lighting's tunnel traffic safety information service using surrogate safety measures (SSM). Individual driving behavior was investigated by applying the vehicle trajectory data collected with RADAR in the Anin Avalanche 1 and 2 tunnel sections in Gangneung. Comparing accumulated speeding, speed variation, time-to-collision, and deceleration rate to avoid the crash before and after providing traffic safety information, all SSMs showed significant improvement, indicating that the tunnel traffic safety information service is beneficial in improving traffic safety. Analyzing potential crash risk in the subdivided tunnel and access road sections revealed that providing traffic safety information reduced the probability of traffic accidents in most segments. The results of this study will be valuable for analyzing the short-term quantitative effects of traffic safety information services.

• Korean Journal of School Psychology
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• v.16 no.3
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• pp.471-499
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• 2019

The purpose of this study was to develop a program that reduces adolescent delinquency and enhances adolescents' social problem-solving, emotional regulation, and self-control skills and to assess the effectiveness of the program. The program was administered in the form of a role-playing game ("RPG") to increase the participants' motivation to participate in and the effectiveness of the therapy. The subjects in this study were 36 adolescents who engaged in delinquent behavior and their 18 homeroom teachers in middle schools located in Seoul and Gyeonggi Province. The subjects were randomly assigned to the experimental group or the comparison group. The experimental group received the proposed RPG-based cognitive behavioral group therapy while comparison group received problem-solving group therapy. Teachers in the experimental group were educated about how to guide their students following each therapy session while teachers in the comparison group did not receive any education. The dependent variables in this study were incidences of delinquent behavior and social problem-solving, emotional regulation, and self-control skill level. Each variable was assessed before treatment, immediately after the end of the full treatment program, and two months after the end of the full treatment program. At the end of the full treatment program, the experimental group engaged statistically significantly in fewer delinquent behaviors and displayed statistically significantly higher levels of social problem-solving, emotional regulation, and self-control skills than the comparison group. These differences persisted until the assessment two months after the end of the full treatment program. Moreover, the experimental group reported higher levels of satisfaction with the treatment program than the comparison group. The findings of this study suggest that this RPG-based cognitive behavioral group therapy program is effective at reducing adolescent delinquency, improving adolescents' social and emotional management techniques and strategies for avoiding delinquency, and in motivating delinquent adolescents to engage more actively in treatment.