• Journal of Korean Society of Transportation
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• 제27권5호
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• pp.97-111
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• 2009

Image-based traffic information collection systems have entered widespread adoption and use in many countries since these systems are not only capable of replacing existing loop-based detectors which have limitations in management and administration, but are also capable of providing and managing a wide variety of traffic related information. In addition, these systems are expanding rapidly in terms of purpose and scope of use. Currently, the utilization of image processing technology in the field of traffic accident management is limited to installing surveillance cameras on locations where traffic accidents are expected to occur and digitalizing of recorded data. Accurately recording the sequence of situations around a traffic accident in a signal intersection and then objectively and clearly analyzing how such accident occurred is more urgent and important than anything else in resolving a traffic accident. Therefore, in this research, we intend to present a technology capable of overcoming problems in which advanced existing technologies exhibited limitations in handling real-time due to large data capacity such as object separation of vehicles and tracking, which pose difficulties due to environmental diversities and changes at a signal intersection with complex traffic situations, as pointed out by many past researches while presenting and implementing an active and environmentally adaptive methodology capable of effectively reducing false detection situations which frequently occur even with the Gaussian complex model analytical method which has been considered the best among well-known environmental obstacle reduction methods. To prove that the technology developed by this research has performance advantage over existing automatic traffic accident recording systems, a test was performed by entering image data from an actually operating crossroad online in real-time. The test results were compared with the performance of other existing technologies.

• KIPS Transactions on Software and Data Engineering
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• 제11권8호
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• pp.331-338
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• 2022

Successor representation (SR) is a model of human reinforcement learning (RL) mimicking the underlying mechanism of hippocampal cells constructing cognitive maps. SR utilizes these learned features to adaptively respond to the frequent reward changes. In this paper, we evaluated the performance of SR under the context where changes in latent variables of environments trigger the reward structure changes. For a benchmark test, we adopted SR-Dyna, an integration of SR into goal-driven Dyna RL algorithm in the 2-stage Markov Decision Task (MDT) in which we can intentionally manipulate the latent variables - state transition uncertainty and goal-condition. To precisely investigate the characteristics of SR, we conducted the experiments while controlling each latent variable that affects the changes in reward structure. Evaluation results showed that SR-Dyna could learn to respond to the reward changes in relation to the changes in latent variables, but could not learn rapidly in that situation. This brings about the necessity to build more robust RL models that can rapidly learn to respond to the frequent changes in the environment in which latent variables and reward structure change at the same time.

• Journal of Christian Education in Korea
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• 제76권
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• pp.193-212
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• 2023

Purpose of Study: This study is a qualitative study to understand the essential experiences of missionary children related to national identity. Research Contents and Methods: Ten children of missionaries who were re-entered to their home countries to receive university education were selected as participants for the study. Two preliminary surveys (2016, 2019) were conducted to determine the direction and subject of the study. Two in-depth interviews and one non-face-to-face survey were conducted with the study participants. Based on preliminary research and prior research, the questionnaire explored identity experiences by discovering four areas: language, culture, group, and place. In addition, rich research results were derived with schematic interview data, surveys using Phinney's 1992 national identity test tool, non-face-to-face surveys with parents of study participants, and self-report identity graphs. Conclusions and suggestions: As a result of the study, missionary kids as TCKs were able to know their names in identity confusion by sequentially experiencing international mobility, separation, and discrepancy in four areas. After all, TCK seems to suffer from identity difficulties because it remains primarily 'minority' in relation to the four domains. This study is meaningful in that it specifically revealed the support needed for TCK missionary children with multicultural background by revealing the importance of providing visiting experience in Korea and schoo(herd)l experience before entering Korean universities to re-adaptate TCK.