• The Journal of the Korea Contents Association
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• v.13 no.7
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• pp.522-530
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• 2013

This study was conducted to examine the effects of the "motivation semester" program, which was implemented for the freshmen at the K-university. The program, which was carried out for the first time among universities in Korea, was designed to help university freshmen with increasing academic motivation and adjusting university life. For four weeks, various programs such as self-leadership camp, major commitment programs, and career exploration were offered to all freshmen at the K-university. The study design was a pre-post comparison of academic motivation scores among four undergraduate departments freshmen, majoring social welfare, hospital management, radiological science, and optometry. The subjects of this study were 196 students. The T-test result, which was used to analyze the differences between pre- and post-program scores, was statistically significant(t=-2.523, P<.05). The study results showed that the "motivation semester" program significantly enhanced the academic motivation of freshmen. It was encouraged to develop programs for university freshmen to improve academic motivation in their major areas.

• Journal of Korean Society for Geospatial Information Science
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• v.9 no.2 s.18
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• pp.47-54
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• 2001

The aim of this study is to represent the effective method for undertaking cadastral surveying works through analyzing and comparison of the surveying results both Total Station and GPS surveying techniques. in the value of coordinate of land parcels, the surveying results of using Total Station and Real Time Kinematic GPS surveying are compared and anayzed. As a results, each axis X and Y differences are ${\Delta}X=0.02m\;and\;{\Delta}Y=0.02$. Therefore the latter surveying method is available to use for production of numerical casdastral map at a large scale and for field surveying in farmland adjustment area. Furthermore travers surveying is not needed to be done when horizontal position of the boundary of a land parcel is determined by the method of RTK. It is recognized as a effective and efficient method in rapaid, accurate and economical aspects.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.46 no.2
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• pp.57-64
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• 2009

This paper presents the hardware implementation of the pyramidal KLT(Kanade-Lucas-Tomasi) feature tracker. Because of its high computational complexity, it is not easy to implement a real-time KLT feature tracker using general-purpose processors. A hardware implementation of the pyramidal KLT feature tracker using FPGA(Field Programmable Gate Array) is described in this paper with emphasis on 1) adaptive adjustment of threshold in feature extraction under diverse lighting conditions, and 2) modification of the tracking algorithm to accomodate parallel processing and to overcome memory constraints such as capacity and bandwidth limitation. The effectiveness of the implementation was evaluated over ones produced by its software implementation. The throughput of the FPGA-based tracker was 30 frames/sec for video images with size of $720{\times}480$.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.7
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• pp.1589-1598
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• 2014

To support the WBAN, IEEE 802.15 Task Group 6 announced standardized documents on technical requirements of the PHY and MAC. In the IEEE 802.15.6 MAC protocol, CSMA/CA(Carrier Sense Multiple Access with Collision Avoidance) algorithm is performed based on the eight-level priorities according to the type of traffics of the periodic data from medical sensor nodes. Several nodes, which detected the changed bio signals, transmit emergency data at the same time, so latency could be higher than emergency latency and energy consumption will increase. In this thesis, we proposed a CSMA/CA algorithm in WBAN to solve these problems. Simulations are performed using a Castalia based on the OMNeT++ network simulation framework to estimate the performance of the proposed superframe and algorithms. Performance evaluation results show that the packet transmission success rate and energy efficiency are improved by reducing the probability of collision using the proposed MAC protocol.

• Korean Journal of Construction Engineering and Management
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• v.13 no.5
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• pp.113-124
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• 2012

TACT process reengineering is applied to the finish work of apartment buildings and extra tall buildings to conduct efficient process control in Korea. Non-systemized information on the performances, however, causes difficulties in building a database for such records and it takes long time to find the relevant information. In order to solve such problems, scientific and quantitative understanding on the construction information and data is required to perform TACT process reengineering satisfactorily and also proper management plan should be provided for the working level staff to understand the required information and data more easily. In this regard, this paper reorganizes the TACT process reengineering based on the general process control and classifies the items of required information to redesign. Redesigned process was verified by specialists making use of work-information matrix. As a result, paper contributed to increasing comprehension level of the working level people and when the persons in charge are transferred to other duty, it makes them understand all the working procedure faster, which enables the departments involved to carry out their cooperation and adjustment more efficiently.

• Journal of Digital Contents Society
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• v.19 no.1
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• pp.35-41
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• 2018

The Q-learning algorithm based on reinforcement learning is useful for learning the goal for one behavior at a time, using a combination of discrete states and actions. In order to learn multiple actions, applying a behavior-based architecture and using an appropriate behavior adjustment method can make a robot perform fast and reliable actions. Q-learning is a popular reinforcement learning method, and is used much for robot learning for its characteristics which are simple, convergent and little affected by the training environment (off-policy). In this paper, Q-learning algorithm is applied to a lamp robot to learn multiple behaviors (human recognition, desk object recognition). As the learning rate of Q-learning may affect the performance of the robot at the learning stage of multiple behaviors, we present the optimal multiple behaviors learning model by changing learning rate.

• Smart Structures and Systems
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• v.15 no.3
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• pp.717-733
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• 2015

Modal parameters of a structure are commonly used quantities for system identification and damage detection. With a limited number of studies on the statistics assessment of modal parameters, this paper presents procedures to properly account for the uncertainties present in the process of extracting modal parameters. Particularly, this paper focuses on how to deal with the measurement error in an ambient vibration test and the modeling error resulting from a modal parameter extraction process. A bootstrap approach is adopted, when an ensemble of a limited number of noised time-history response recordings is available. To estimate the modeling error associated with the extraction process, a model prediction expansion approach is adopted where the modeling error is considered as an "adjustment" to the prediction obtained from the extraction process. The proposed procedures can be further incorporated into the probabilistic analysis of applications where the modal parameters are used. This study considers the effects of the measurement and modeling errors and can provide guidance in allocating resources to improve the estimation accuracy of the modal data. As an illustration, the proposed procedures are applied to extract the modal data of a damaged beam, and the extracted modal data are used to detect potential damage locations using a damage detection method. It is shown that the variability in the modal parameters can be considered to be quite low due to the measurement and modeling errors; however, this low variability has a significant impact on the damage detection results for the studied beam.

• Journal of Applied Reliability
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• v.16 no.1
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• pp.32-40
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• 2016

Purpose: The purpose of this study is to analyze the effect of sampling points on accuracy of storage reliability estimation for one-shot systems by assuming a weibull distribution as a storage reliability distribution. Also propose method for determining of sampling points for increase the accuracy of reliability estimation. Methods: Weibull distribution was divided into three sections for confirming the possible to estimate the parameters of the weibull distribution only some section's sample. Generate quantal response data for failure data. And performed parameter estimation with quantal response data. Results: If reduce sample point interval of 1 section, increase the accuracy of reliability estimation although sampling only section 1. Even reduce total number of sampling point, reducing sampling time interval of the 1 zone improve the accuracy of reliability estimation. Conclusion: Method to increase the accuracy of reliability estimation is increasing number of sampling and the sampling points. But apply this method to One-shot system is difficult because test cost of one-shot system is expensive. So propose method of accuracy of storage reliability estimation of one-shot system by adjustment of the sampling point. And by dividing the section it could reduce the total sampling point.

• Journal of the Korean Society for Railway
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• v.18 no.2
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• pp.166-174
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• 2015

A direct demand model requires relatively little analysis time and incurs a low cost. It is also known to be useful for the preliminary screening of promising configurations or concepts. This study reviews direct demand models of 12 existing urban railways using demographic data based on a block group level which is approximately 1/24 of a traditional zone area. However, direct demand models are limited. Therefore, a new approach is suggested. The proposed method is based on a field study and an empirical analysis. The study finds factors that affect ridership at the station level. As a case study, the proposed approach is tested using 54 light railway transit stations. The results of this empirical study demonstrate its applicability to improve the error rates of the predicted ridership at the station level.

• Journal of Oral Medicine and Pain
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• v.41 no.1
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• pp.7-15
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• 2016

Purpose: Mandibular advancement device (MAD) is widely recognized as an important treatment option for obstructive sleep apnea (OSA) and is readily accepted than any other treatment options owing to its simplicity and ambulatory nature. At this time, there are a multitude of MAD designs and their efficacies may be influenced by adjustment and retention mechanism. The MAD with the anterior connector (anteriorly adjustable mandibular advancement device, AAMAD) was newly developed in the Department of Oral Medicine, Dankook University Dental Hospital (Cheonan, Korea) and was prescribed for the OSA patients including snoring patients. Thus, this study was aimed to objectively investigate the effectiveness of the AAMAD on the OSA patients using the self-applied portable device (ApneaLink), and evaluate the treatment outcomes among patients with various severity of OSA level. Methods: Results of the treatment of fourteen patients (13 male, 1 female) with the AAMAD were retrospectively analyzed. Each patient underwent home sleep test before treatment and were divided into two groups, i.e., those with mild (apnea-hypopnea index [AHI] ${\geq}5$ and <15) to moderate OSA (AHI ${\geq}15$ and <30) and severe OSA (AHI ${\geq}30$). After treatment, home sleep test was conducted again and treatment outcomes were compared between mild to moderate and severe OSA patients. Results: Of all patients, 78.6% showed more than 50% AHI reduction. We found a significant reduction (85.3%) of AHI in the severe OSA patients. Patients with mild to moderate OSA showed the reduced AHI (56.1%). Conclusions: We concluded that AAMAD is an effective oral appliance for the majority of OSA patients.