• Journal of Intelligence and Information Systems
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• v.29 no.2
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• pp.189-217
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• 2023

The metaverse is a virtual world where individuals engage in social, economic, and cultural activities using avatars, which represent an alternate version of oneself within the virtual realm. While the metaverse has garnered global attention recently, research exploring the identity manifested through avatars within the metaverse remains limited. This study investigates the influence of four IT artifact characteristics related to avatar usage in the metaverse-avatar representation, avatar copresence, avatar profiling, and avatar-space interaction-on perceived avatar identity verification. A survey was conducted with 196 experienced users of the Zepeto platform, and hypotheses were tested using structural equation modeling. The analysis results indicate that the use of IT artifacts enabling avatar representation, avatar copresence, and avatar-space interaction has a positive impact on perceived avatar identity verification. This achieved self-verification indirectly influences the satisfaction and subsequent intention to continue using the metaverse. This study contributes to the academic field by empirically verifying the metaverse technological factors that influence the projected identity onto avatars within the metaverse. Furthermore, it is expected to provide effective guidelines for metaverse platform companies in designing and implementing the metaverse.

• Journal of Korea Entertainment Industry Association
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• v.13 no.5
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• pp.15-24
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• 2019

The purpose of the study is to present implications for the management performance and improvement of enterprises through the study of the simplicity of meals, individual values, inhuman relationships, attitude formation, awareness and solitary eating behaviors. The research method was investigated by the judgment sampling method. The collected effective samples were validated using a confirmed factorial analysis to ensure the validity of the discriminatory validity and the internal validity of the convergent validity. First of all, the company should provide information to the people who eat alone to A recognize the simplicity of their meals. Second, we should ensure that the individual values of the Honbab people can be formed through various promotional strategies that can lead to the formation of attitudes. Third, companies should pursue diverse event strategies that can lead to the formation of attitudes of the people of the Honbab family. Fourth, event development such as the provision of a very special service for customers only will have to be conducted when visiting the stores of the Honbap people. Finally, companies should focus on promoting the convenience, convenience, and time-consuming advantages of eating alone through a variety of marketing, and strive to increase their customers.

• Journal of the Korean Society of Radiology
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• v.83 no.2
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• pp.284-292
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• 2022

To provide high-quality training to residents in a rapidly changing medical environment, it is very important to improve the annual training curriculum centered on competency and ensure that training hospitals maintain an environment suitable for training. The Korean Society of Radiology (KSR) has been steadily improving the training system and has suggested the improvement of the training system by strengthening the competency-based evaluation and faculty development. Currently, KSR was selected for the second annual training curriculum systematization construction project in July 2021, and developed entrustable professional activities, core competencies, and assessment guidelines required by the construction project. Therefore, the development process and assessment guidelines will be introduced to residents and the faculty.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.6
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• pp.124-140
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• 2023

The rapid growth in shared E-scooters worldwide has led to many studies on the topic. The results of these studies are still in the early stages, and the main factors affecting trips are being identified. In particular, the development of trip-generation models is very important for transportation planning, and a new transportation mode for developing the models for shared E-scooters is lacking both domestically and internationally. This study aims to develop a trip generation model for shared E-scooters using significant variables by thoroughly reviewing previous studies. The trip characteristics of major service areas and other areas may differ owing to the trip characteristics of the mode. The trip generation models were developed based on the service trip density by dividing the areas by service level. The factors affecting shared E-scooter trips in major service areas included the presence of universities, closeness centrality, and cultural areas, while factors affecting the trips in minor service areas included the presence of universities, betweenness centrality, and trip distance. The developed models provide basic information that can be used to establish transport policies for introducing shared E-scooters in cities in the future.

• Journal of Oral Medicine and Pain
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• v.35 no.4
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• pp.245-258
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• 2010

Smoking has been identified not as a major risk factor for circulatory and respiratory diseases but also as causes of various oral diseases. A number of clinical studies and regional health surveys have found an association between smoking and poor oral health status and between smoking and prognosis of dental treatments. However, there is few studies about status of smoking cessation treatment and policies in dentistry in Korea. The purpose of this study was to investigate the smoking patterns of outpatients and outcomes of short-term smoking cessation treatment in dental hospitals in Korea and, subsequently, to seek further smoking cessation services in dentistry. This study was sponsored by Korean Dental Association (KDA) and department of culture and welfare. 825 dental patients were voluntarily participated in a 4-week smoking cessation program with nicotine patch and 297 participants of them completed on smoking-related questionnaires. All participants were recruited from outpatients of 11 dental university hospitals (primarily in the department of oral medicine, oral surgery and periodontology) in Korea during 3-month period from October 2009 to January 2010. The Questionnaires included demographics, duration of smoking, heavy smoking index (HSI), number of thinking of quit smoking, duration of stop smoking and reasons to smoking, awareness of smoking effects on oral health, and their success rate after 4 weeks of nicotine patch program was investigated. The statistical analysis was carried by SPSS version 18.0 program and Chi-square test. According to the results of this study, male in their 30s to 50s were the most prevalent of all the participants and duration of smoking increased with age. Attempt rate to quit smoking (Quit smoking) was the highest in 30s and 40s with duration of quit smoking ranging 1 to 3 months. Emotional stresswas the most frequently reported reason for smoking, followed by habit and pleasure in order. All age group showed high HIS over 71% and awareness of smoking effects on oral diseases such as oral soft tissue diseases, periodontal diseases and dental caries was found relatively high (50~60%) Periodontal implant was the main reason for participation in the smoking cessation services in dental clinics and the success rate of, 4-week nicotine patch program of all the participants was 29.4%, extremely low compared to that of medical clinics. Systemic education for dentists to be able to provide interventions to quit smoking including counseling with the 5As'and development of available measures for smokers is needed as considered that the low success rate of the smoking cessation services in dentistry could be explained mainly by lack of dentists' strategies, experience and attention. Awareness and attention of dentists should be emphasized and their participation be encouraged by long-term, multidisciplinary policies such as establishment of insurance fee, which would made a considerable progress in preventing smoking-related oral diseases and promoting public oral health.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.25 no.1
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• pp.77-86
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• 1980

Asking to change the cropping patterns to save the labor and capitals in paddy rice cultivation, the study was intended to know the weed problems under the various possible cultural systems; namely, direct seeding (in broadcast and row), machine transplanting and hand transplanting. Under the conditions as weedy check plots, paddy yields were significantly variated among cropping systems, and the functions of panicle No. and spikelet No. to the yield were neglected, among others. However, the yield and yield components were narrowed among cropping systems, and the function of spikelets number per area was comparatively improved to the others.

• Journal of Intelligence and Information Systems
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• v.28 no.1
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• pp.89-106
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• 2022

Recently, the amount of video data collected from smartphones, CCTVs, black boxes, and high-definition cameras has increased rapidly. According to the increasing video data, the requirements for analysis and utilization are increasing. Due to the lack of skilled manpower to analyze videos in many industries, machine learning and artificial intelligence are actively used to assist manpower. In this situation, the demand for various computer vision technologies such as object detection and tracking, action detection, emotion detection, and Re-ID also increased rapidly. However, the object detection and tracking technology has many difficulties that degrade performance, such as re-appearance after the object's departure from the video recording location, and occlusion. Accordingly, action and emotion detection models based on object detection and tracking models also have difficulties in extracting data for each object. In addition, deep learning architectures consist of various models suffer from performance degradation due to bottlenects and lack of optimization. In this study, we propose an video analysis system consists of YOLOv5 based DeepSORT object tracking model, SlowFast based action recognition model, Torchreid based Re-ID model, and AWS Rekognition which is emotion recognition service. Proposed model uses single-linkage hierarchical clustering based Re-ID and some processing method which maximize hardware throughput. It has higher accuracy than the performance of the re-identification model using simple metrics, near real-time processing performance, and prevents tracking failure due to object departure and re-emergence, occlusion, etc. By continuously linking the action and facial emotion detection results of each object to the same object, it is possible to efficiently analyze videos. The re-identification model extracts a feature vector from the bounding box of object image detected by the object tracking model for each frame, and applies the single-linkage hierarchical clustering from the past frame using the extracted feature vectors to identify the same object that failed to track. Through the above process, it is possible to re-track the same object that has failed to tracking in the case of re-appearance or occlusion after leaving the video location. As a result, action and facial emotion detection results of the newly recognized object due to the tracking fails can be linked to those of the object that appeared in the past. On the other hand, as a way to improve processing performance, we introduce Bounding Box Queue by Object and Feature Queue method that can reduce RAM memory requirements while maximizing GPU memory throughput. Also we introduce the IoF(Intersection over Face) algorithm that allows facial emotion recognized through AWS Rekognition to be linked with object tracking information. The academic significance of this study is that the two-stage re-identification model can have real-time performance even in a high-cost environment that performs action and facial emotion detection according to processing techniques without reducing the accuracy by using simple metrics to achieve real-time performance. The practical implication of this study is that in various industrial fields that require action and facial emotion detection but have many difficulties due to the fails in object tracking can analyze videos effectively through proposed model. Proposed model which has high accuracy of retrace and processing performance can be used in various fields such as intelligent monitoring, observation services and behavioral or psychological analysis services where the integration of tracking information and extracted metadata creates greate industrial and business value. In the future, in order to measure the object tracking performance more precisely, there is a need to conduct an experiment using the MOT Challenge dataset, which is data used by many international conferences. We will investigate the problem that the IoF algorithm cannot solve to develop an additional complementary algorithm. In addition, we plan to conduct additional research to apply this model to various fields' dataset related to intelligent video analysis.

• Journal of Intelligence and Information Systems
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• v.28 no.1
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• pp.107-129
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• 2022

It is important to preempt new technology because the technology competition is getting much tougher. Stakeholders conduct exploration activities continuously for new technology preoccupancy at the right time. Gartner's Hype Cycle has significant implications for stakeholders. The Hype Cycle is a expectation graph for new technologies which is combining the technology life cycle (S-curve) with the Hype Level. Stakeholders such as R&D investor, CTO(Chef of Technology Officer) and technical personnel are very interested in Gartner's Hype Cycle for new technologies. Because high expectation for new technologies can bring opportunities to maintain investment by securing the legitimacy of R&D investment. However, contrary to the high interest of the industry, the preceding researches faced with limitations aspect of empirical method and source data(news, academic papers, search traffic, patent etc.). In this study, we focused on two research questions. The first research question was 'Is there a difference in the characteristics of the network structure at each stage of the hype cycle?'. To confirm the first research question, the structural characteristics of each stage were confirmed through the component cohesion size. The second research question is 'Is there a pattern of diffusion at each stage of the hype cycle?'. This research question was to be solved through centralization index and network density. The centralization index is a concept of variance, and a higher centralization index means that a small number of nodes are centered in the network. Concentration of a small number of nodes means a star network structure. In the network structure, the star network structure is a centralized structure and shows better diffusion performance than a decentralized network (circle structure). Because the nodes which are the center of information transfer can judge useful information and deliver it to other nodes the fastest. So we confirmed the out-degree centralization index and in-degree centralization index for each stage. For this purpose, we confirmed the structural features of the community and the expectation diffusion patterns using Social Network Serice(SNS) data in 'Gartner Hype Cycle for Artificial Intelligence, 2021'. Twitter data for 30 technologies (excluding four technologies) listed in 'Gartner Hype Cycle for Artificial Intelligence, 2021' were analyzed. Analysis was performed using R program (4.1.1 ver) and Cyram Netminer. From October 31, 2021 to November 9, 2021, 6,766 tweets were searched through the Twitter API, and converting the relationship user's tweet(Source) and user's retweets (Target). As a result, 4,124 edgelists were analyzed. As a reult of the study, we confirmed the structural features and diffusion patterns through analyze the component cohesion size and degree centralization and density. Through this study, we confirmed that the groups of each stage increased number of components as time passed and the density decreased. Also 'Innovation Trigger' which is a group interested in new technologies as a early adopter in the innovation diffusion theory had high out-degree centralization index and the others had higher in-degree centralization index than out-degree. It can be inferred that 'Innovation Trigger' group has the biggest influence, and the diffusion will gradually slow down from the subsequent groups. In this study, network analysis was conducted using social network service data unlike methods of the precedent researches. This is significant in that it provided an idea to expand the method of analysis when analyzing Gartner's hype cycle in the future. In addition, the fact that the innovation diffusion theory was applied to the Gartner's hype cycle's stage in artificial intelligence can be evaluated positively because the Gartner hype cycle has been repeatedly discussed as a theoretical weakness. Also it is expected that this study will provide a new perspective on decision-making on technology investment to stakeholdes.

• Childhood Kidney Diseases
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• v.1 no.1
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• pp.53-59
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• 1997

There have been many recent reports that unilateral renal agenesis and multicystic dysplastic kidneys are accompanied by contralateral vesicoureteral reflux leading to its injury. We grouped the children with unilateral renal agenesis, renal hypoplasia, multicystic dysplastic kidney into abnormal unilateral renal development and investigated whether it was accompanied with contralateral vesicoureteral reflux. We retrospectively reviewed 96 pediatric cases of unilateral renal agenesis, hypoplasia, multicystic dysplastic kidney diagnosed at Shinchon Severance Hospital, Yongdong Severance Hospital from 1987 to 1996 and Ajou University Hospital from 1994 to 1996. Diagnosis was based on radiological findings, renal hypoplasia being defined as small renal size with no apparent renal scarring and no irregularity of the calyceopelvic system on abdominal sonography or intravenous pyelography. Among the 96 cases,48 cases carried out voiding cystourethrography. 58 cases were male(60%) and 38 cases were female(40%). The cases of abnormal unilateral development on the left side were 45(47%) and that on the right side were 51(53%). Although there were diverse reasons leading to diagnosis, the major ones included were prenatal sonography, urinary tract infection, and other congenital anomalies. In cases of unilateral renal agenesis & hypoplasia the leading factors were urinary tract infection & other congenital anomalies and in cases of multicystic dysplastic kidney that was prenatal sonography. There was a chronological gap between the mean age of diagnosis(1.8 year) and voiding cystouerthrography(2.5 year, P < 0.01). 9 of the 18 unilateral renal agenesis cases, 5 of the 11 unilateral renal hypoplasia cases, and 3 of the 19 unilateral multicystic dysplastic kidney cases showed contralateral vesicoureteral reflux. Average reflux grade was above G III.Among the 17 children who had contralateral vesicoureteral reflux, 3 children had chronic renal failure and ureteroneocystostomy was carried out in 6 children. From the above results we conclude that screening voiding cystourethrography should be performed in children with abnormal unilateral renal development for early detection of vesicoureteral reflux in the contralateral kidney.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.1D
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• pp.25-32
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• 2009

Currently, various types of TDM (Transportation Demand Management) policies are being studied and implemented in an attempt to overcome the limitations of supply oriented policies. In this context, this paper addressed issues of effectiveness and possible domestic implementation of the HOT lane. The possible site of implementation selected for this simulation study is part of the Kyung-bu freeway, where a dedicated bus lane is currently being operated. Minimum length of distance required in between interchanges and access points of the HOT lane for vehicles to safely enter and exit the lane, and traffic management policies for effectively managing the weaving traffic trying to enter and exit the HOT lane were presented. A 5.2km section of freeway from Ki-heuing IC to Suwon IC and a 8.3km section from Hak-uei JC to Pan-gyo JC have been selected as possible sites of implementation for the HOT lane, in which congestion occurs regularly due to the high level of travel demand. VISSIM simulation program has been used to analyze the effects of the HOT lane under the assumption that one-lane HOT lane has been put into operation in these sections and that the lane change rate were in between 5% to 30%. The results of each possible scenario have proven that overall travel speed on the general lanes have increased as well by 1.57~2.62km/h after the implementation of the HOT lane. It is meaningful that this study could serve as a basic reference data for possible follow-up studies on the HOT lane as one effective method of TDM policies. Considering that the bus travel rate would continue increase and assuming the improvement in travel speed on general lanes, similar case study can be implemented where gaps between buses on bus lane are available, as a possible alternative of efficient bus lane management policies.