• International Journal of Highway Engineering
• /
• v.14 no.4
• /
• pp.163-173
• /
• 2012

PURPOSES : The purpose of this study is to check the possibilities of traffic pattern analysis using MatSIM for urban road network operation in incident case. METHODS : One of the stochastic dynamic models is MatSIM. MatSIM is a transportation simulation tool based on stochastic dynamic model and activity based model. It is an open source software developed by IVT, ETH zurich, Switzerland. In MatSIM, various scenario comparison analyses are possible and analyses results are expressed using the visualizer which shows individual vehicle movements and traffic patterns. In this study, trip distribution in 24-hour, traffic volume, and travel speed using MatSIM are similar to those of measured values. Therefore, results of MatSIM are reasonable comparing with measured values. Traffic patterns are changed according to incident from change of individual behavior. RESULTS : The simulation results and the actual measured values are similar. The simulation results show reasonable ranges which can be used for traffic pattern analysis. CONCLUSIONS : The change of traffic pattern including trip distribution, traffic volumes and speeds according to various incident scenarios can be used for traffic control policy decision to provide effective operation of urban road network.

• Journal of the Korea Convergence Society
• /
• v.10 no.12
• /
• pp.411-420
• /
• 2019

This study analyzed the effective message strategy for the TB prevention campaign. This study examined the differences in the perceived susceptibility, perceived severity, and behavior intention according to the message orientation(individual-social) and the message presentation style(statistical-narrative). The results showed that individual message is more effective than social message in terms of perceived susceptibility and perceived severity. There was no significant difference between statistical and narrative messages. Finally, in the case of individual message, narrative messages were more effective than statistical messages; and in the case of social message, social messages were more effective than narrative messages. Based on these results, theoretical implications were discussed and a practical strategy for TB prevention campaign were proposed.

• Research in Community and Public Health Nursing
• /
• v.29 no.4
• /
• pp.476-487
• /
• 2018

Purpose: The present study is focused on understanding weight perception related with individual- and school-level multifactorial origins, underestimated and overestimated respectively, in normal body weight adolescents. Methods: Using the 2017 Korea Youth Risk Behavior Web-based Survey data of 45,902 students from 799 secondary schools, a multilevel multinomial logistic regression analysis was performed where adolescents (level1) were nested within schools (level 2). Results: At the school level, the average school body mass index (BMI, $kg/m^2$) and physical education were associated with weight perception among both boys and girls. In boys, geographic areas were associated with weight underestimation. At the individual level, perceived economic status, weekly allowance, BMI ($kg/m^2$), smartphone usage time (hrs/day) and perceived stress were associated with weight perception among both boys and girls. Age, paternal education, academic achievement and alcohol use were associated with weight perception among girls, while part-time job and physical activity were associated with weight perception among boys. Conclusion: Our findings underscore the importance of individual- and school-level environments in developing correct weight perception and have implications for school health education to establish healthy lifestyle behaviors for all adolescents.

• Research in Community and Public Health Nursing
• /
• v.28 no.4
• /
• pp.482-493
• /
• 2017

Purpose: This study aims to investigate the individual and environmental factors related to emotional/behavioral problems to early adolescence in Korea by applying multilevel modeling. Methods: From the database of the 2014 Korean Child and Youth Panel Survey (KCYPS), the researchers selected 1,977 adolescents who are in the second year of middle school. Multilevel model analysis was performed to estimate the impact of relevant factors at the individual and environmental levels. Results: At the individual level, the significant factors associated with emotional/behavioral problems included BMI and study tendency in boys, and drinking, study tendency and economic levels in girls. At the environmental level, the significant factor associated with emotional/behavioral problems included relationship with the teacher. Conclusion: The emotional/behavioral problems of early adolescence are influenced not only by the individual factors but also by the environment factor. Therefore, the environment surrounding the adolescents should also be considered to prevent emotional/behavioral problems.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.9 no.2
• /
• pp.659-679
• /
• 2015

Distributed applications are composed of multiple nodes, which exchange information with individual nodes through message passing. Compared with traditional applications, distributed applications have more complex behavior patterns because a large number of interactions and concurrent behaviors exist among their distributed nodes. Thus, it is difficult to detect anomalous behaviors and determine the location and scope of abnormal nodes, and some attacks and misuse cannot be detected. To address this problem, we introduce a method for detecting anomalous behaviors based on process algebra. We specify the architecture of the behavior detection model and the detection algorithm. The anomalous behavior detection and analysis demonstrate that our method is a good discriminator between normal and anomalous behavior characteristics of distributed applications. Performance evaluation shows that the proposed method enhances efficiency without security degradation.

• 제어로봇시스템학회:학술대회논문집
• /
• 2005.06a
• /
• pp.2337-2341
• /
• 2005

This paper presents the target detection method using Support Vector Machines(SVMs) and the navigation system using behavior-based fuzzy controller. SVM is a machine-learning method based on the principle of structural risk minimization, which performs well when applied to data outside the training set. We formulate detection of target objects as a supervised-learning problem and apply SVM to detect at each location in the image whether a target object is present or not. The behavior-based fuzzy controller is implemented as an individual priority behavior: the highest level behavior is target-seeking, the middle level behavior is obstacle-avoidance, the lowest level is an emergency behavior. We have implemented and tested the proposed method in our mobile robot "Pioneer2-AT". Comparing with a neural-network based detection method, a SVM illustrate the excellence of the proposed method.

• Proceedings of the KOR-KST Conference
• /
• 1995.02a
• /
• pp.58-82
• /
• 1995

This study providesd an empirical analysis of trip-chaining behavior and its application to transportation planning. In the empirical analysis, changes in trip-chaining patterns since 1970 have been examined and details of current trip-chaining behavior as they describe shopping trip-chaining behavior has changed. Individual trip-chaining has become longer and complex. It appears that the average number of trips per chains has substantially increased over the past 20 years. An increased number of trips in chains means fewer home-based trips. Changes in trip-chaining behavior have several consequences. Important consequences are for transportation and land-use planning. Up to now trips have been treated as if they are independent clusters of home-to-destination-to-home; this approach has not usually taken into account the trip-chaining behavior of individuals. this calls for a different approach to at least the trip generation and trip distribution part of transportation planning. In this study, application of trip-chaining behavior to trip distribution model formulation is proposed and its calibration results are presented.

• Journal of the Korean Society of Industry Convergence
• /
• v.27 no.3
• /
• pp.501-508
• /
• 2024

Organizational citizenship behavior refers to the behavior of faithfully performing one's duties and being faithful to other roles. Firefighters' awareness of organizational citizenship behavior is closely related to national and individual safety and is very important. The smooth communication and cooperative attitude of fire department employees means organic unity at the disaster site. The purpose of this study was to analyze the awareness of organizational citizenship behavior among firefighters. As a result of analyzing the overall level of organizational citizenship behavior of firefighters, the average score was 3.83 points (out of 5). In particular, significant implications emerged regarding work-related appointment times and words and actions between co-workers. In the future, we hope that firefighting policy authorities will make a lot of efforts and academic research by subsequent generations will be conducted to make firefighting more trustworthy to the public.

• Journal of Information Science Theory and Practice
• /
• v.5 no.3
• /
• pp.6-14
• /
• 2017

Workplace knowledge sharing is a complex process and there are a large number of studies in the area. In this article three theoretical approaches in library and information science are used to discuss knowledge sharing in the workplace. The approaches are information behavior, social capital, and information culture, and they bring important insights that need to be considered from a holistic management point of view when it comes to knowledge sharing. The individual's relation to different levels of context is important, meaning both in relation to work roles, work tasks, situations, organizational structures, and culture. The frameworks also shed light on where and how knowledge sharing activities are present in the organization. From a knowledge management point of view, it is important to acknowledge that when knowledge is valued, there is also an awareness of the knowledge sharing activities. Also, in addition to more traditional views of context, the frameworks bring forward different views on context, such as time and space as contextual factors.

• Journal of the Korean Home Economics Association
• /
• v.35 no.6
• /
• pp.143-155
• /
• 1997

The purpose of this study is to compare the differences of clothing behavior by the level of self-monitoring under given social situations. The result of this study is drown from the analysis of the survey, gathered from the 522 female students of universities reside in Seoul, by using the method of convenience sampling. The statistical methods used to test the data were MANOVA and chi-square test. The results of this study can be summarized s follows; first, as a result of analyzing the differences of situational self-image pursuits among situations depending individual's self-monitoring levels, it was found that the pursuits changes among situations regardless of the self-monitoring levels. Thus, this hypothesis could not be verified. Second, as a result of analyzing the changes of priority of clothing selection factors among situations depending on individual's self-monitoring levels, it was found that the priority factors changed among situations regardless of the self-monitoring levels.