• International Journal of Internet, Broadcasting and Communication
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• v.14 no.1
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• pp.129-135
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• 2022

Real human digital models appear more and more frequently in VR/AR application scenarios, in which real-time markerless face capture animation of personalized virtual human faces is an important research topic. The traditional way to achieve personalized real human facial animation requires multiple mature animation staff, and in practice, the complex process and difficult technology may bring obstacles to inexperienced users. This paper proposes a new process to solve this kind of work, which has the advantages of low cost and less time than the traditional production method. For the personalized real human face model obtained by 3D reconstruction technology, first, use R3ds Wrap to topology the model, then use Avatary to make 52 Blend-Shape model files suitable for AR-Kit, and finally realize real-time markerless face capture 3D real human on the UE4 platform facial motion capture, this study makes rational use of the advantages of software and proposes a more efficient workflow for real-time markerless facial motion capture of personalized 3D real human models, The process ideas proposed in this paper can be helpful for other scholars who study this kind of work.

• IEMEK Journal of Embedded Systems and Applications
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• v.18 no.3
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• pp.125-132
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• 2023

Roundabouts have strengths in traffic flow and safety but can present difficulties for inexperienced drivers. Demand to acquire and analyze drone images has increased to enhance a traffic environment allowing drivers to deal with roundabouts easily. In this paper, we propose a roundabout traffic analysis system that detects, tracks, and analyzes vehicles using a deep learning-based object detection model (YOLOv7) in drone images. About 3600 images for object detection model learning and testing were extracted and labeled from 1 hour of drone video. Through training diverse conditions and evaluating the performance of object detection models, we achieved an average precision (AP) of up to 97.2%. In addition, we utilized SORT (Simple Online and Realtime Tracking) and OC-SORT (Observation-Centric SORT), a real-time object tracking algorithm, which resulted in an average MOTA (Multiple Object Tracking Accuracy) of up to 89.2%. By implementing a method for measuring roundabout entry speed, we achieved an accuracy of 94.5%.

• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.3
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• pp.193-211
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• 2023

This study explores consumer perceptions of the Metaverse, a new concept emerging post-pandemic. It applies the Technology Acceptance Model and Theory of Reasoned Action to examine how perceived usefulness, ease of use, attitudes, subjective norms, and intentions to adopt new technology are connected. The study analyzes samples obtained from a self-administered online survey, assessing experienced and inexperienced individuals to compare their perceptions toward Metaverse in the food service industry. The data is processed with SPSS and AMOS, utilizing factor analysis and structural equation modeling. Results show perceived usefulness and ease of use influencing attitudes, which, along with subjective norms, impact behavioral intentions, supporting hypotheses. As online experiences grow, Metaverse marketing could affect dining behaviors and purchases. The study offers insights for food service companies to enhance behavioral intentions, contributing to Metaverse advancement.

• Korean Journal of Childcare and Education
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• v.19 no.2
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• pp.43-59
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• 2023

Objective: This study investigated the differences in preschool children's perceptions of artificial intelligence (AI) and their distribution by latent profiles according to their experience with AI robots in daycare centers. Methods: The participants included 119 five-year-old children, 52 of whom had experience with AI robots in daycare centers and 67 of whom did not. Children's perceptions of AI were measured using the Godspeed scale from Bartneck et al.(2009). Data were analyzed using a t-test, latent profile analysis, and chi-square test. Results: The results showed that compared to the inexperienced group, the experienced group reported lower levels of animacy and perceived intelligence of AI robots, indicating higher levels of AI knowledge and understanding. In addition, the experienced group had a higher probability of belonging to the 'machine recognition' type than 'organism recognition' type, although the difference was not statistically significant. Conclusion/Implications: The findings suggest that experience with AI robots in daycare centers can improve children's AI knowledge and understanding. To further enhance this effect, it is necessary to increase the number of robots put into classrooms, and to consider various teaching media that reflect children's preferences.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.05a
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• pp.354-357
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• 2021

Infants communicate their feelings and needs to the outside world through non-verbal methods such as crying and displaying diverse facial expressions. However, inexperienced parents tend to decode these non-verbal messages incorrectly and take inappropriate actions, which might affect the bonding they build with their babies and the cognitive development of the newborns. In this paper, we propose an aural-visual two-stream based infant cry recognition system to help parents comprehend the feelings and needs of crying babies. The proposed system first extracts the features from the pre-processed audio and video data by using the VGGish model and 3D-CNN model respectively, fuses the extracted features using a fully connected layer, and finally applies a SoftMax function to classify the fused features and recognize the corresponding type of cry. The experimental results show that the proposed system classification exceeds 0.92 in F1-score, which is 0.08 and 0.10 higher than the single-stream aural model and single-stream visual model.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.213-216
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• 2015

Despite the significant increase of Korean contractors in the international construction market, many SMCCs (Small & Medium Construction Companies) have suffered in the global financial crisis, and some of them have been kicked out of the international market after experiencing huge losses on projects. SMCCs face obstacles in the international market, such as an insufficient ability to gather information and inappropriate management of associated risks, which lead to difficulties in establishing effective business strategies. In other words, making immature decisions without an effective business strategy may cause not only the failure of one project but also the bankruptcy of the SMCC. To overcome this, the research presented herein aims to propose a decision support system for SMCCs, which would screen projects and make a go/no-go decision at the early stages of international projects. The proposed system comprises a double axis: (1) a profit prediction model, which evaluates 10 project properties using an objective methodology based on a historical project performance database and roughly suggests expected profit rate, and (2) a feasibility assessment model, which evaluates 17 project environment factors in a subjective and quantitative methodology based on experience and supervision. Finally, a web-based system is established to enhance the practical usability, which is expected to be a good reference for inexperienced SMCCs to make proper decisions and establish effective business strategies.

• Journal of Technologic Dentistry
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• v.45 no.3
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• pp.81-86
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• 2023

Purpose: This study aimed to observe the effect of laminate veneer on patient's teeth based on the manufacturing of laminate veneer restorations, which are produced by fabricating a ceramic cast body using IPS Empress, a pressure casting method and then forming the veneer by layering. Subsequently, we assessed the potential of its clinical application. Methods: This study discusses and preserves various treatment plans, such as diagnostic wax-up and treatment room diagnosis, for patients who visit the hospital to improve the appearance of teeth due to diastema of maxillary teeth, inexperienced resin filling, lack of esthetics, and external teeth. A ceramic cast body is constructed using IPS Empress, which is an effective and aesthetic restoration pressure casting method to restore the veneer with a laminate made by layering. Results: Compared with the preoperative state, the frontal view of the patient after the final restoration showed the formation of a natural smile line; the space between the central and lateral incisors was filled in synchronously with the adjacent teeth. In addition, the emergence profile is maintained by reducing the over-contour as much as possible. Conclusion: The patient's quality of life is improved by providing them with a satisfactory natural smile.

• Journal of Pharmacopuncture
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• v.27 no.1
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• pp.21-26
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• 2024

Objectives: Pulse is a method of Korean medicine diagnosis and is an important clue to detect the organs, nature, and progress of the disease. Pulse examination is included in the basic examination of Korean medicine doctors, but there is no standardized method for diagnosing pulse although the types and methods of the pulse taking are briefly described in the literature, making it difficult to spread the examination method. In this regard, I would like to propose an objective evaluation method. Methods: Although the importance of pulse examination and the method of pulse examination are known in the literature, it is difficult for undergraduate students or inexperienced Korean medicine doctors to access it, so in this paper a method of marking the size of the pulse power in the blank space for objective evaluation was devised and presented. Results: The size of the pulse power should be indicated using the 1-cell, 3-cell, or 5-cell method according to the left and right wrists and the cun, guan and chi on both sides. Conclusion: The method of pulse diagnosis is an important diagnostic method as a verification process for making a Korean medical diagnosis. The remaining Korean medicine diagnostic methods, including pulse diagnosis, also need to undergo objectification. It is believed that the objectification of these diagnostic methods will lead to an improvement in the treatment rate of Korean medicine.

• The Journal of Korean Medicine
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• v.34 no.1
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• pp.160-169
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• 2013

Objectives: This survey was performed to investigate attitudes of western medicine doctors (WMD) and Korean medicine doctors (KMD) toward Korean medicine education (KME) to provide basic data for developing effective KME programs. Methods: We selected study objects in western medicine (WM) - Korean medicine (KM) collaborative institutions and structured questionnaires were administered to both WMD and KMD for comparison. The data from 167 WMD and 135 KMD were analyzed statistically by frequency, ${\chi}^2$ test and T-test analysis. Results: 61.1% of WMD have never experienced KME and 15% were not interested in cooperative practices and research. Most KME was done in medical schools (45%) and only 5% in residency education. WMD interested or experienced in cooperation have had more KME than the uninterested and inexperienced groups. Intentions of WMD to cooperative practices and research made a difference on the willingness to take KME, while relevant experiences didn't. WMD and KMD differed in ideas about major KME topics; WMD put the greatest emphasis on the herb-drug interaction, while KMD did on KM diagnosis and treatment. They also have different views on the optimal KME course load. Conclusions: For successful collaboration, more continuing KME and motivation for cooperation is required for WMD. Improvements are also needed in the form and contents of KME to meet the demands of learners.

• Journal of Educational Research in Mathematics
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• v.25 no.2
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• pp.241-261
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• 2015

"SMART" is a word to condense a new kind of educational system recently proposed by the Korean government. It signifies an intelligent adaptive learning system to innovate the educational environment, the contents, methodology and assessment. Developing a digital textbook was one of the main strategic goals to drive forward "smart" education. The Korean government expected to finish the development of digital textbooks of science, mathematics, social studies and English by 2013 and to have a field experiment for them in 2014. However, the case of mathematics was postponed for an indefinite period because its draft version was no different from a traditional textbook in its functional aspect. This situation might come from the non-existence of a good authoring tool and an inexperienced sense by developers of the opportunities available with digital textbooks. This paper introduces the main features for developing a digital mathematics textbook for the 12th grade students, which was developed in the environment of Cabri LM as an authoring tool. This paper also looks upon the results of a whole lesson using the textbook in managing the classroom interaction with students.