• Journal of the Korean Society for Railway
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• v.13 no.6
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• pp.589-594
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• 2010

Superimposition of horizontal and vertical curves may hamper the ride comfort and running stability of train and largely affect the maintenance costs. However, in many cases, it is not easy to make a track alignment plan because of the geographic conditions or undesirable environmental factors. In this paper, a comparative study on the effect of superimposition of vertical and horizontal curve on the ride comfort and optimum horizontal curve conditions was performed. That is, optimal cant and ride comfort analysis with and without a vertical curve superimposed on the horizontal curve were evaluated. Also the superimposition effect on ride comfort and alignment conditions in high speed zone were evaluated. From the analysis results, it was found that the ride comfort is similar to that at the only horizontal curves when applying the compensation cant for the superimposed site.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.1015-1017
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• 2013

Object tracking, in general, is a challenging problem. Difficulties in tracking objects can arise due to abrupt object motion, changing appearance patterns of both the object and the scene, non-rigid object structures, object-to-object and object-to-scene occlusions, and camera motion. Tracking is usually performed in the context of higher-level applications that require the location or the shape of the object in every frame. This paper describes an object tracking system based on active vision with two cameras, into algorithm of single camera tracking system an object active visual tracking and object locked system based on Extend Kalman Filter (EKF) is introduced, by analyzing data from which the next running state of the object can be figured out and after the tracking is performed at each of the cameras, the individual tracks are to be fused (combined) to obtain the final system object track.

• Journal of Information Processing Systems
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• v.8 no.3
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• pp.409-420
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• 2012

The decision-making by agents in games is commonly based on reinforcement learning. To improve the quality of agents, it is necessary to solve the problems of the time and state space that are required for learning. Such problems can be solved by Macro-Actions, which are defined and executed by a sequence of primitive actions. In this line of research, the learning time is reduced by cutting down the number of policy decisions by agents. Macro-Actions were originally defined as combinations of the same primitive actions. Based on studies that showed the generation of Macro-Actions by learning, Macro-Actions are now thought to consist of diverse kinds of primitive actions. However an enormous amount of learning time and state space are required to generate Macro-Actions. To resolve these issues, we can apply insights from studies on the learning of tasks through Programming by Demonstration (PbD) to generate Macro-Actions that reduce the learning time and state space. In this paper, we propose a method to define and execute Macro-Actions. Macro-Actions are learned from a human subject via PbD and a policy is learned by reinforcement learning. In an experiment, the proposed method was applied to a car simulation to verify the scalability of the proposed method. Data was collected from the driving control of a human subject, and then the Macro-Actions that are required for running a car were generated. Furthermore, the policy that is necessary for driving on a track was learned. The acquisition of Macro-Actions by PbD reduced the driving time by about 16% compared to the case in which Macro-Actions were directly defined by a human subject. In addition, the learning time was also reduced by a faster convergence of the optimum policies.

• Journal of the Korean Society for Railway
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• v.20 no.3
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• pp.374-381
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• 2017

Concrete sleepers, installed on majority of railroad track in this nation can, if not maintained properly, threaten the safety of running trains. In this paper, an algorithm for automatically identifying cracks in a sleeper image, taken by high-resolution camera, is developed based on Adaboost, known as the strongest adaptive algorithm and most actively utilized algorithm of current days. The developed algorithm is trained using crack characteristics drawn from the analysis results of crack and non-crack images of field-installed sleepers. The applicability of the developed algorithm is verified using 48 images utilized in the training process and 11 images not used in the process. The verification results show that cracks in all the sleeper images can be successfully identified with an identification rate greater than 90%, and that the developed automatic crack identification algorithm therefore has sufficient applicability.

• Journal of the Korean GEO-environmental Society
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• v.22 no.4
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• pp.5-13
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• 2021

The transition is the zone where support stiffness suddenly increases in the railway industry. If the support stiffness increases, differential settlement will occur at the transition due to difference of stiffness, and the differential settlement causes problems for the train running safety and the roadbed that supports the track. In particular, a study on differential settlement at bridge-earthwork transition was only conducted to considering railway load in most cases. However, these studies have not taken account of earthquake despite earthquake has been occurred frequently in the recent, and it is necessary to consider earthquake. Therefore, in this study numerical analysis has been performed by changing the inclination of approach block, which determines the shape of the transition, and earthwork in order to verify the effect of the shape of the transition on the dynamic behavior at the bridge-earthwork transition. The result shows that the dynamic behavior at the bridge-earthwork transition was affected by the shape of transition.

• Journal of the Korea institute for structural maintenance and inspection
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• v.27 no.6
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• pp.39-46
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• 2023

In this study, the dynamic behavior of friction bearings of PSC (Pre-Stressed Concrete) box train continuous bridge was numerically analyzed at 10 km/h intervals up to 600 km/h according to the increasing speed of the next-generation high-speed train. A frame model was generated targeting the 40-meter single-span and two-span continuous PSC box bridges in the Gyeongbu High-Speed Railway section. The interaction forces including the inertial mass vehicle model with 38 degrees of freedom and the irregularities of the bridge and track were considered. It was calculated the longitudinal displacement, cumulative sliding distance and displacement speed of the bridge bearings at each running speed so that compared with the dynamic behavior trend analysis of the bridge. In addition, long-term friction test standards were applied to evaluate the durability of friction plates.

• Journal of the Korean Society for Railway
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• v.20 no.1
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• pp.11-19
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• 2017

Since operation of railway trains is a major source of particle pollution in tunnel air, a particle removal device can be an effective measure to remove wear particles. To obtain design conditions of the particle removal device that will be installed underneath the railway trains, the wind speed and particle concentration underneath the trains were investigated using a three-dimensional ultrasonic anemometer and a DustTrak aerosol monitor, respectively. The measurements were made for the trains running on Seoul Metropolitan Subway Line 5 on February 10, 2015. The data were analyzed according to the track geometry (straight, curved) and train speed pattern (acceleration, cruising, and deceleration) between stations. Train speed was also analyzed. The average wind speed and $PM_{10}$ concentration underneath the trains were ~30% of the train speed and ${\sim}200{\mu}g/m^3$ for both straight and curved sections. Average $PM_{10}$ concentration for deceleration sections was higher than that for acceleration sections.

• Journal of Hospice and Palliative Care
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• v.4 no.2
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• pp.154-160
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• 2001

Purpose : This study, as the first year project of setting up a community based management system, was attempted for the cancer patients and their family to improve their quality of life; investigating and managing the cancer patients, educating volunteers and connecting the patients with the volunteers were performed. Method and result : The education of managing cancer patients for the volunteers was done once in lune for 2 days to the 80 volunteers. Questions about education effect, volunteer motivation and so on were made up. The survey showed, generally, education satisfaction level was high and a longer education and an intensive course were needed and was suggested that organizing a volunteer community be needed for the continuous further education and systematic management. As the result, after the public health center and volunteers deliberated, a volunteer community consisting of 4 teams, 28 members was organized, launched in Oct. and operated for the cancer patients and their family. For investigating and enrolling the patients, advertising on a local information paper, recommending of local doctors, publicizing by educating the heads of a subdivision of the city, the heads of a neighborhood association and the people in charge of the related local communities such as women's society, and surveying the community by volunteers were performed and the total, 41 patients were registered. Management of cancer patients was carried out by volunteers in a community and in a nursing school. A regional volunteers' community is composed of 23 members and they have worked 87 times, that is 3.8 times per capita on an average. The content of duties is attending the education (41.1%) the most. A volunteers' community of nursing students composed of 12 members have worked 135 times, that is 11.3 times per capita on an average. The content of duties - consulting with patients and home visiting (37.8 %) were the most and survey for investigating the cancer patients was the second. Conclusion : This study has the meaning that this is the guiding attempt in building a community based management system, and especially the achievement of this study is that a regional society organized a volunteer community for the cancer patients by itself and went into action for the cancer patients and their family. Furthermore, to activate this volunteering, it is necessary to keep managing volunteers and running continuing education or the intensive course of the volunteers. Indeed we should let the patients have good impression on this program through publicity and education for the residents to keep track of more cancer patients. For that, systematic and powerful cooperation of a self-administrative organization is required.

• International Commerce and Information Review
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• v.9 no.1
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• pp.403-425
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• 2007

The sudden emergence of China as a superpower in world politics and economics is apparently a big surprise. This, however, is not an unusual incident. As far as the Chinese are concerned, they say that China is simply running almost the same track that its neighboring countries. In the recent years, a number of experts and scholars have expected that the emergence of China as a great economic power will be argued as a major issue in world politics and economics. So its economic progress will require experts and scholars to watch carefully how China is going to change. It certainly has created an atmosphere that most of the world leaders, experts and scholars are very concerned about China's remarkable performance in its economics and then willing to accept China's rapid growth as an urgent matter. Many experts and scholars began to analyze carefully the factors that have contributed to the rapid growth. Foreign direct investment (FDI), import-export, and economic reform were then listed as the most important factors. As a result, philosophy of economics, analytical economics, and economics are immediately needed for China who is at the moment very anxious to sustain the stable and continuity of rapid economic growth. But unfortunately China does not even recognize the reason why they need to adopt these economic concepts and methods.

• Journal of Environmental Health Sciences
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• v.31 no.5 s.86
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• pp.379-386
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• 2005

[ $PM_{10},\;PM_{2.5},\;CO_2\;and\;CO$ ] in driver cabins of subway line from 5 to 8 were monitored from 07:00 through 21:00 (or 19:30 or 20:00) on May. Driver cabin of subway line 7 showed the highest $PM_{10},\;PM_{2.5},\;CO_2\;and\;CO$ concentrations. General Linear Model indicated that subway line, subway location (ground and underground track) and running time (morning and afternoon) significantly influenced the concentrations of $PM_{10},\;PM_{2.5},\;CO_2\;and\;CO$ (p=0.000). Daily profile of $PM_{10},\;PM_{2.5},\;CO_2\;and\;CO$, expressed as an 30 minutes average, showed similar variation pattern over day period. These concentrations showed the highest concentrations between 07:00 and 09:00 of rush hour, slightly dropped and again rose slightly after 18:00. In correlation analysis, significant relations among $PM_{10},\;PM_{2.5},\;CO_2\;and\;CO$ were detected (p<0.01). In particular, correlation coefficient between $PM_{10}\;and\;PM_{2.5}$ was highly significant (r=0.884). Regression analysis also concluded that $PM_{10}$ concentration significantly explained 71.4% of variation of $PM_{2.5}$ concentration (p=0.000, $R^2=0.714$). Correlations by CO with $PM_{10}\;and\;PM_{2.5}$ were 0.451 and 0.520, which were higher than those by $CO_2$. Further study is needed to examine the sources of $PM_{2.5}$ and CO in subway and to compare pollutants concentration among subway lines.