• Journal of the Korean housing association
• /
• v.28 no.3
• /
• pp.65-74
• /
• 2017

An analysis of elderly behavior at home needs to be meticulously understood in order to build a spatial environment where the elderly can live safe and independent lives. To this end, the following study analyzed elderly behavior that occurs in the home, constructed personas, and developed persona-based scenarios of elderly behavior at home. Persona was composed of behavioral characteristics, spatial characteristics, and personal characteristics (gender, age, disease etc) that have a direct effect on living activities in the home, so it was intended to express a more real persona. The study developed six personas based on the behavioral and mobility characteristics of the elderly, and scenarios for each persona developed bsed on the following eight behaviors: toilet use, bating/Shower, washing and grooming, having meal, sleeping, dressing/undressing, laundering clothes, and getting out of home). Through this, the study determined the characteristics and difficulty level of various sub-behaviors and actions that occur in elderly behaviors at home. It also determined characteristics related to the use of physical elements such as equipment and furniture that are a part of those sub-behaviors. The behavior scenarios developed in this study can be utilized to understand the difficulties involved in elderly behavior, and to present a spatial plan and remodeling direction that alleviates such difficulties. This study is also significant that it investigates the applicability of persona-based scenario method on residential architecture.

• Journal of the Institute of Convergence Signal Processing
• /
• v.10 no.1
• /
• pp.80-85
• /
• 2009

The performance of the robot is very limited in the conventional model-based control methods when the environments around a robot are not structured or are varying dynamically. The reason for that is the methods are based on the model of the environments which is very difficult to match with the real environments and on a path planning which is complex and time-consuming. On the other hand, the behavior-based control methods are not dependant on the model of the environments nor a complex planning. In those methods, a specific behavior is coupled with a specific sensor output, so the response of a robot is quite reactive and timely in dynamic and unstructured environments. In this thesis, we propose a situation dependant behavior based control architecture, in which a robot may behave differently to the same sensor output depending on various situations. We also show some experimental results to show the feasibility of the proposed control architecture.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.22 no.3
• /
• pp.667-677
• /
• 2012

Vulnerable web applications have been the primary method used by the attackers to spread their malware to a large number of victims. Such attacks commonly make use of malicious links to remotely execute a rather advanced malicious code. The attackers often deploy malwares that utilizes unknown vulnerabilities so-called "zero-day vulnerabilities." The existing computer vaccines are mostly signature-based and thus are effective only against known attack patterns, but not capable of detecting zero-days attacks. To mitigate such limitations of the current solutions, there have been a numerous works that takes a behavior-based approach to improve detection against unknown malwares. However, behavior-based solutions arbitrarily introduced a several limitations that made them unsuitable for real-life situations. This paper proposes an advanced web browser based malicious behavior detection system that solves the problems and limitations of the previous approaches.

• Journal of Korean Public Health Nursing
• /
• v.27 no.2
• /
• pp.304-312
• /
• 2013

Purpose: This study was conducted to compare health knowledge, health attitude and health behavior of middle school students based on the hours of health educational parameters imparted. Methods: After obtaining informed consent from participants, data were collected from 474 middle school students attending three different schools. The questionnaires were developed based on previous studies and four authorized health textbooks. Data were analyzed using $x^2$-test, t-test, ANOVA and ANCOVA. Results: The scores of 34-hour or 17-hour regular health education group were higher than those of 0-hour regular health education group in the areas of health knowledge and health attitude. In contrast the score of health behavior showed no significant difference among the three groups. Conclusion: The course of regular health education should be included as an essential one rather than as a selective option in the curriculum, and 34-hour regular health education is needed for all primary, middle, and high school students who are about to developing lifelong health habits, in order to have them gradually acquire sound education of health knowledge, health attitude, and health behavior.

• Journal of the Korea Society for Simulation
• /
• v.29 no.2
• /
• pp.35-47
• /
• 2020

Immediate and serious attention on CGF(computer generated forces) behavior modeling for defense M&S (modeling & simulation) is required in response to the reduction in the number of troops and development of 4^th industrial technologies. It is crucial for both military person and engineer to understand such technologies. The research aims to provide guidelines for establishment of research direction on CGF behavior modeling. We investigate traditional and/or novel methodologies such as rule-based, agent-based, and learning-based method. Discussions on future direction of applicable area and strategies are followed. We expect that the research plays a key role for understanding CGF behavior modeling.

• International Journal of Naval Architecture and Ocean Engineering
• /
• v.12 no.1
• /
• pp.868-880
• /
• 2020

One of the main concerns in the structural integrity of offshore pipelines is mechanical damage from external loads. Pipelines are exposed to fatigue failure in welded joints due to geometric discontinuity. In addition, fatigue loads such as currents, waves, and platform motions may cause significant plastic deformation and fracture or leakage within a relatively low-cycle regime. The 2007 ASME Div. 2 Code adopts the master S―N curve for the fatigue evaluation of welded joints based on the mesh-insensitive structural stress. An extension to the master S―N curve was introduced to evaluate the low-cycle fatigue strength. This structural strain method uses the tensile properties of the material. However, the monotonic tensile properties have limitations in describing the material behavior above the elastic range because most engineering materials exhibit hardening or softening behavior under cyclic loads. The goal of this study is to extend the cyclic stress-strain behavior to the structural strain method. To this end, structural strain-based procedure was established while considering the cyclic stress-strain behavior and compared to the structural strain method with monotonic tensile properties. Finally, the improved prediction method was validated using fatigue test data from full-scale girth-welded pipes.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.4
• /
• pp.549-561
• /
• 2021

This study aims to identify the role of organizational behavior and intellectual capital on risk management implementation and Village Credit Institutions (called LPD) performance. The LPD population is 1,256 units spread across nine districts/cities in Bali. This research was conducted at the LPD as the only microfinance institution based on local wisdom in traditional villages in Bali Province, Indonesia. Based on sampling using the Slovin method, there were 139 LPD as sampled in this study. The respondent in this study was the Head of the LPD. LPD performance measurement is using the balanced scorecard method that combines financial and non-financial aspects. This study also investigates risk management's role as a mediator in the relationship between organizational behavior and intellectual capital on the LPD performance. Methods of data collection using a survey. The questionnaire was given to 139 LPD chairman who was respondents in this survey. The data analysis technique used SEM-PLS. This study succeeded in confirming Resource-Based View Theory that organizational behavior and intellectual capital affect risk management and organization performance. These results also prove risk management's role as a mediation for the relationship between organizational behavior and intellectual capital on organizational performance.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.7
• /
• pp.313-322
• /
• 2021

This study aims to analyze the influence of religiosity, spiritual leadership, and work-life balance and its impact on innovative behavior through the mediating effect of employee engagement on the state-owned sharia bank of Central Java Province. The total sample of this study is 226 respondents taken from state-owned sharia bank in 6 Regencies/Cities in the former Karisedenan of Central Java. Samples are taken using a cross-sectional approach. The sampling technique is using the division of regions based on clusters (cities) and is carried out using a purposive sampling method. The results indicate that the indirect influence of all independent variables on innovative behavior through the mediating effect of employee engagement is found to be significant. This study views employee engagement from the perspective of religiosity-based social exchange theory so that religious values in the interaction relationship can be fairly applied and respected by the employees of the state-owned sharia bank. Managers can socialize the importance of spirit behavior to employees so that it can be their everyday attitude and becomes their guide for work. Leaders can become role models in straightening intentions while working as well as conditioning the conscience to always think positively at work by strengthening work engagement in sharia banking institutions.

• Journal of Intelligence and Information Systems
• /
• v.14 no.3
• /
• pp.59-76
• /
• 2008

In this paper, we propose an agent architecture called L-CAA that is quite effective in real-time dynamic environments. L-CAA is an extension of CAA, the behavior-based agent architecture which was also developed by our research group. In order to improve adaptability to the changing environment, it is extended by adding reinforcement learning capability. To obtain stable performance, however, behavior selection and execution in the L-CAA architecture do not entirely rely on learning. In L-CAA, learning is utilized merely as a complimentary means for behavior selection and execution. Behavior selection mechanism in this architecture consists of two phases. In the first phase, the behaviors are extracted from the behavior library by checking the user-defined applicable conditions and utility of each behavior. If multiple behaviors are extracted in the first phase, the single behavior is selected to execute in the help of reinforcement learning in the second phase. That is, the behavior with the highest expected reward is selected by comparing Q values of individual behaviors updated through reinforcement learning. L-CAA can monitor the maintainable conditions of the executing behavior and stop immediately the behavior when some of the conditions fail due to dynamic change of the environment. Additionally, L-CAA can suspend and then resume the current behavior whenever it encounters a higher utility behavior. In order to analyze effectiveness of the L-CAA architecture, we implement an L-CAA-enabled agent autonomously playing in an Unreal Tournament game that is a well-known dynamic virtual environment, and then conduct several experiments using it.

• Proceedings of the KIEE Conference
• /
• 2007.04a
• /
• pp.213-215
• /
• 2007

This paper introduces an emotional behavior decision model for intelligent service robots. An emotional model should make different behavior decisions according to the purpose of the robots. We propose an emotional behavior decision model which can change the character of emotional model and make different behavior decisions although the situation and environment remain the same. We defined each emotional element such as reactive dynamics, internal dynamics, emotional dynamics, and behavior dynamics by state dynamic equations. The proposed system model is a linear system. If you want to add one external stimulus or behavior, you need to add just one dimensional vector to the matrix of external stimulus or behavior dynamics. The case of removing is same. The change of reactive dynamics, internal dynamics, emotional dynamics, and behavior dynamics also follows the same procedure. We implemented the proposed emotional behavior decision model and verified its performance.