• Journal of Internet Computing and Services
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• v.24 no.1
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• pp.39-47
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• 2023

The development of autonomous driving and Advanced Driver Assistance System (ADAS) technology has grown rapidly in recent years. As most traffic accidents occur due to human error, self-driving vehicles can drastically reduce the number of accidents and crashes that occur on the roads today. Obviously, technical advancements in autonomous driving can lead to improved public driving safety. However, due to the current limitations in technology and lack of public trust in self-driving cars (and drones), the actual use of Autonomous Vehicles (AVs) is still significantly low. According to prior studies, people's acceptance of an AV is mainly determined by trust. It is proven that people still feel much more comfortable in personalized ADAS, designed with the way people drive. Based on such needs, a new attempt for a customized ADAS considering each driver's driving style is proposed in this paper. Each driver's behavior is divided into two categories: assertive and defensive. In this paper, a novel customized ADAS algorithm with high classification accuracy is designed, which divides each driver based on their driving style. Each driver's driving data is collected and simulated using CARLA, which is an open-source autonomous driving simulator. In addition, Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) machine learning algorithms are used to optimize the ADAS parameters. The proposed scheme results in a high classification accuracy of time series driving data. Furthermore, among the vast amount of CARLA-based feature data extracted from the drivers, distinguishable driving features are collected selectively using Support Vector Machine (SVM) technology by comparing the amount of influence on the classification of the two categories. Therefore, by extracting distinguishable features and eliminating outliers using SVM, the classification accuracy is significantly improved. Based on this classification, the ADAS sensors can be made more sensitive for the case of assertive drivers, enabling more advanced driving safety support. The proposed technology of this paper is especially important because currently, the state-of-the-art level of autonomous driving is at level 3 (based on the SAE International driving automation standards), which requires advanced functions that can assist drivers using ADAS technology.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.1
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• pp.117-125
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• 2017

People believe that they make a rational decision. But the results of behavioral economics research show that people make a emotional decision at many times. The perception of fairness is one of the example in emotional decision. Sometimes people give up their monetary profit and revenge counterpart when they feel unfair. So the perception of fairness is very important. Two experiment was conducted. In experiment 1, researcher studied the effect of the pre-investment cost in perception of fairness. The result showed people who had pre-investment cost thought more unfair but were more likely to continue prior decision. In experiment 2, researcher studied the effect of type of CEO and message frame in perception of fairness. The results showed that people thought the proposal was more unfair when CEO was son of founder and message was gain and loss framing message.

• The Journal of the Convergence on Culture Technology
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• v.8 no.3
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• pp.61-70
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• 2022

His study was started in the sense of examining the direction of nurturing calligraphy education professionals as the Act on Promotion of Calligraphy was enforced. The purpose of this study is to derive the direction of nurturing manpower in the calligraphy field, and to suggest a direction for nurturing professional manpower different from the existing Seodang-style and apprenticeship methods. To this end, we first looked at the current status of manpower in the calligraphy field through a fact-finding survey and prior research. As of March 2022, the overall status of the curriculum of the Department of Calligraphy at Korean universities was analyzed and its characteristics were examined. In this study, the direction of nurturing professional manpower using teacher job training and the direction of nurturing professional manpower through designated institutions were presented. For the direction of nurturing professional manpower using teacher job training, we selected an autonomous training method that enables training members to collaborate together to enhance the competency of participants. presented as Training and training for professional manpower through designated institutions Major . operation . A total of 26 programs were presented for communication competency.

• The Journal of the Korea Contents Association
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• v.9 no.12
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• pp.742-749
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• 2009

The use of cone-beam computed tomography(CBCT) has been proposed for guiding the delivery of radiation therapy. A kilovoltage imaging system capable of radiography, fluoroscopy, and cone-beam computed tomography(CT) has been integrated with a medical linear accelerator. A standard clinical linear accelerator, operating in arc therapy mode, and an amorphous-silicon (a-Si) with an on-board electronic portal imager can be used to treat palliative patient and verify the patient's position prior to treatment. On-board CBCT images are used to generate patient geometric models to assist patient setup. The image data can also, potentially, be used for dose reconstruction in combination with the fluence maps from treatment plan. In this study, the accuracy of Hounsfield Units of CBCT images as well as the accuracy of dose calculations based on CBCT images of a phantom and compared the results with those of using CT simulator images. Phantom and patient studies were carried out to evaluate the achievable accuracy in using CBCT and CT stimulator for dose calculation. Relative electron density as a function of HU was obtained for both planning CT stimulator and CBCT using a Catphan-600 (The Phantom Laboratory, USA) calibration phantom. A clinical treatment planning system was employed for CT stimulator and CBCT based dose calculations and subsequent comparisons. The dosimetric consequence as the result of HU variation in CBCT was evaluated by comparing MU/cCy. The differences were about 2.7% (3-4MU/100cGy) in phantom and 2.5% (1-3MU/100cGy) in patients. The difference in HU values in Catphan was small. However, the magnitude of scatter and artifacts in CBCT images are affected by limitation of detector's FOV and patient's involuntary motions. CBCT images included scatters and artifacts due to In addition to guide the patient setup process, CBCT data acquired prior to the treatment be used to recalculate or verify the treatment plan based on the patient anatomy of the treatment area. And the CBCT has potential to become a very useful tool for on-line ART.)

• 대한공업교육학회지
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• v.43 no.1
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• pp.158-176
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• 2018

The purpose of this study is to analyze the satisfaction of the manufacturing process and the satisfaction of manufacturing lesson in the lesson of model product manufacturing based on IoT(Internet of Things) for pre-service technology teachers. and we also analyzed 'smart farm' model production manufacturing among various products. The survey questionnaires with 8 questions to investigate satisfaction level of model manufacturing process, difficulties in manufacturing, and the satisfaction level of manufacturing lesson were collected from the 15 pre-service technology teachers and analyzed by using SPSS program. and The results of this study were as follows: First, the lesson satisfaction average level of pre-service technology teachers was high(M=4.22) in model product manufacturing process for the 'smart farm' model making based on the IoT. Second, the average satisfaction level of 'patent search and prior art search report writing education' was as high as 4.07. Therefore, the application of 'prior art search report writing education' showed that it helped to make the product. Third, the best high satisfaction level in the model production manufacturing procedure was 'education of inventive thinking method'(M=4.40). Therefore, the pre-service technology teachers showed that the 'education of inventive thinking methods' was very helpful from the idea design to the optimal selection of idea. The next order of satisfaction level was high(M=4.33) in 'design education and counseling' and 'guidance through selection of professor who guide the production manufacturing in addition to professors who are in charge of lesson'. Because they were helpful in solving the lack of knowledge of pre-service technology teachers. Fourth, satisfaction level with 'the presentation of model making results and exhibitions', 'presentations and participations of external event' was high (M = 4.13). Although the results of interviews with pre-service technology teachers showed that they suffered from lack of knowledge in various technologies, but it was an opportunity to learn things and felt a sense of accomplishment.

• Proceedings of the Korea Contents Association Conference
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• 2009.05a
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• pp.1159-1166
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• 2009

The use of cone-beam computed tomography(CBCT) has been proposed for guiding the delivery of radiation therapy. A kilovoltage imaging system capable of radiography, fluoroscopy, and cone-beam computed tomography(CT) has been integrated with a medical linear accelerator. A standard clinical linear accelerator, operating in arc therapy mode, and an amorphous-silicon (a-Si) with an on-board electronic portal imager can be used to treat palliative patient and verify the patient's position prior to treatment. On-board CBCT images are used to generate patient geometric models to assist patient setup. The image data can also, potentially, be used for dose reconstruction in combination with the fluence maps from treatment plan. In this study, the accuracy of Hounsfield Units of CBCT images as well as the accuracy of dose calculations based on CBCT images of a phantom and compared the results with those of using CT simulator images. Phantom and patient studies were carried out to evaluate the achievable accuracy in using CBCT and CT stimulator for dose calculation. Relative electron density as a function of HU was obtained for both planning CT stimulator and CBCT using a Catphan-600 (The Phantom Laboratory, USA) calibration phantom. A clinical treatment planning system was employed for CT stimulator and CBCT based dose calculations and subsequent comparisons. The dosimetric consequence as the result of HU variation in CBCT was evaluated by comparing MU/cCy. The differences were about 2.7% (3-4MU/100cGy) in phantom and 2.5% (1-3MU/100cGy) in patients. The difference in HU values in Catphan was small. However, the magnitude of scatter and artifacts in CBCT images are affected by limitation of detector's FOV and patient's involuntary motions. CBCT images included scatters and artifacts due to In addition to guide the patient setup process, CBCT data acquired prior to the treatment be used to recalculate or verify the treatment plan based on the patient anatomy of the treatment area. And the CBCT has potential to become a very useful tool for on-line ART.)

• (The) Research of the performance art and culture
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• no.38
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• pp.71-109
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• 2019

In this study, succession aspects of direction structure and dancing were reviewed in Moondoong drum dance succeeded by Yong Bae Cho of Goseong Ogwangdae. Sung Rak Hong who succeeded to Moondoong drum dance before Yong Bae Cho directed only 'drum dance' mainly with Goodguri rhythm. While Sung Rak Hong succeeded, the drum of Moondoong Gwangdae became smaller, which was changed from drum before 1965, to semi-drum in 1966 and tabor in 1967 and thereafter. Yong Bae Cho succeeded to Moondoong drum dance since 1970, adding 'Moondoong dance' directing tabor at the floor together with 'drum dance' before August 1972 and directing Dutbaegi rhythm. From the first succession of Goseong Ogwangdae since the winter in 1974, obscene movements were disappeared, and the setting with Yangban and contents to sublimate resentment were added in Moondoong drum dance. These changes seemed to be affected by succession format of Tongyoung Ogwangdae Moondoong drum dance and Ok Jin Gong's idiot dance. There are succession patterns when reviewing Moondoong drum dance directed by Yong Bae Cho. In case of 'Moondoong' dance, repeated forms were succeeded including 'fixed dance'->'impromptu dance'->'jump' in center of three fixed dances. In case of 'drum dance,' repeated forms were succeeded including 'fixed dance'->'rolling tabor'->'concluding' -> 'impromptu dance'->'jump' in center of four fixed dances. In 'drum dance' by Yong Bae Cho, many parts of succeeded dance by Sung Rak Hong who was a prior successor were remained. After Yong Bae Cho's death, Jong Bok Heo summarized the dance with more completed order focusing on the structure of Moondoong drum dance succeeded by Yong Bae Cho. Since then, multiple scenes were added continuously including hobbled appearance by Jong Won Heo, happy scene eating barley and scene to catch tabor stick difficultly, by Chang Ryol Heo. Yong Bae Cho added 'Moondoong dance' to the prior works only with 'drum dance' and started adding the story with resentment. The direction structure summarized by Yong Bae Cho became the basic framework in which the following directors added the scenes very easily. Like this, Yong Bae Cho was an excellent director of Goseong Ogwangdae who inherited Moondoong drum dance from the previous generation to establish and develop to hand over the next generations.

• Journal of the Institute of Electronics and Information Engineers
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• v.53 no.11
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• pp.73-81
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• 2016

In general, infrared images have less sharpness and image details than visible images. So, the prior image upscaling methods are not effective in the infrared images. In order to solve this problem, this paper proposes an algorithm which initially up-scales an input infrared (IR) image by using adaptive dynamic range encoding (ADRC)-based super-resolution (SR) method, and then fuses the result with the corresponding visible images. The proposed algorithm consists of a up-scaling phase and a fusion phase. First, an input IR image is up-scaled by the proposed ADRC-based SR algorithm. In the dictionary learning stage of this up-scaling phase, so-called 'pre-emphasis' processing is applied to training-purpose high-resolution images, hence better sharpness is achieved. In the following fusion phase, high-frequency information is extracted from the visible image corresponding to the IR image, and it is adaptively weighted according to the complexity of the IR image. Finally, a up-scaled IR image is obtained by adding the processed high-frequency information to the up-scaled IR image. The experimental results show than the proposed algorithm provides better results than the state-of-the-art SR, i.e., anchored neighborhood regression (A+) algorithm. For example, in terms of just noticeable blur (JNB), the proposed algorithm shows higher value by 0.2184 than the A+. Also, the proposed algorithm outperforms the previous works even in terms of subjective visual quality.

• Clinical and Experimental Reproductive Medicine
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• v.19 no.2
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• pp.169-174
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• 1992

Previous studies have indicated that immunological factor is responsible for the infertility. We have detected sperm antibodies in ZIFT patients which grouped as fertilization failure (A; n=18) and low fertilization rate (${\leq}50%$)(B; n=20). Patients, however, had normal oocytes and sperms. We collected serum from wives and semen from husbands and donors (fertile sperm), if it was needed. We examined class, binding patterns and amounts of antisperm antibodies(ASA) by direct and indirect immunobead binding assay. In group A, 11 husbands were ASA positive showing 62.2% and 61.1% binding with IgA and IgG, respectively, and two wives were ASA positive showing 70.0% and 71.0% binding with IgA and IgG, respectively. Binding sites were mainly at the head of sperms (84%). In group B, 8 husbands were ASA positive showing 37.5% and 40.0% binding with IgA and IgG, respectively, and two wives were ASA positive showing 41.3% and 42.0% binding with IgA and IgG, respectively. Binding sites were also mainly at the head of sperms (78%). For the treatment of ZIFT patients who had fertilization failure at the first trial, we used albumin fractionation method and dilution method with 30% fetal cord serum (FCS) to reduce the titer of ASA. We used partial zona dissection (P.Z.D.) method for wives who have antisperm antibodies in their serum. According to represented method, we could inhance the fertilization rate to 60.0% by albumin fractionation and 20.0% by P.Z.D., respectively. We concluded that the use of micromanipulation like P.Z.D. or the other sperm processing methods is required to increase a chance of fertilization. This result suggested that it should be a prerequisite to test antisperm antibodies prior to entering assisted reproductive technologies (ART) programs.

• Journal of the Korean Association of Geographic Information Studies
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• v.20 no.4
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• pp.24-38
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• 2017

The awareness and demand for technological elements in the field of cloud computing and their application models have increased. Cloud-based service information systems are being expanded for use in many applications. Advancements in information technology are directly related to spatial information. PaaS is an important platform for implementing a substantial cloud ecosystem to develop geo-based application services. For this reason, it is necessary to analyze the PaaS cloud technology prior to the development of SaaS. The PaaS cloud supports sharing of related extensions, database operations and management, and application development and deployment. The development of geo-spatial information systems or services based on PaaS in ranging the domestic and overseas range is in the initial stages of both research and application. In this study, state-of-the-art cloud computing is reviewed and a conceptual design for geo-based applications is presented. The proposed model is based on container methods, which are the core elements of PaaS cloud technology based on open source. It is thought that these technologies contribute to the applicability and scalability of the geo-spatial information industry that addresses cloud computing. It is expected that the results of this study will provide a technological base for practical service implementation and experimentation for geo-based applications.