• International conference on construction engineering and project management
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• 2022.06a
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• pp.426-432
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• 2022

HVAC systems play a critical role in reducing energy consumption in buildings. Integrating occupants' thermal comfort evaluation into HVAC control strategies is believed to reduce building energy consumption while minimizing their thermal discomfort. Advanced technologies, such as visual sensors and deep learning, enable the recognition of occupants' discomfort-related actions, thus making it possible to estimate their thermal discomfort. Unfortunately, it remains unclear how accurate a deep learning-based classifier is to recognize occupants' discomfort-related actions in a working environment. Therefore, this research evaluates the classification performance of occupants' discomfort-related actions while sitting at a computer desk. To achieve this objective, this study collected RGB video data on nine college students' cold discomfort-related actions and then trained a deep learning-based classifier using the collected data. The classification results are threefold. First, the trained classifier has an average accuracy of 93.9% for classifying six cold discomfort-related actions. Second, each discomfort-related action is recognized with more than 85% accuracy. Third, classification errors are mostly observed among similar discomfort-related actions. These results indicate that using human action data will enable facility managers to estimate occupants' thermal discomfort and, in turn, adjust the operational settings of HVAC systems to improve the energy efficiency of buildings in conjunction with their thermal comfort levels.

• Korean Journal of Acupuncture
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• v.40 no.4
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• pp.206-211
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• 2023

Objectives : Needle sickness is one of the adverse events of acupuncture, although substantial adverse effects during a routine acupuncture treatment seem to be highly unusual. In this work, we propose that an acupuncture-related vasovagal response resembles needle sickness during acupuncture therapy. Methods : In this article, we discussed the general characteristics of vasovagal syncope and went into more detail on vasovagal syncope in people who have a fear of blood injection and injury. We also offer a recommendation for the prevention and management of vasovagal syncope brought on by acupuncture. Results : The vasovagal reaction related to acupuncture is closely associated with needle sickness. The prevention can be done using PEACHES (position, experience, anxiety, constitution, hydration, environment, symptom recognition) principles. The management should be conducted using the RIPCORD (recognize, initiate, position, communicate, order treatments, reassess, document) techniques. Conclusions : It is important to comprehend the characteristics of needle sickness as a vasovagal reaction related to acupuncture. According to the recommendation, practitioners should effectively prevent and manage needle sickness.

• ETRI Journal
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• v.45 no.5
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• pp.836-846
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• 2023

Mobile robots are used in modern life; however, object recognition is still insufficient to realize robot navigation in crowded environments. Mobile robots must rapidly and accurately recognize the movements and shapes of pedestrians to navigate safely in pedestrian-rich spaces. This study proposes real-time, accurate, three-dimensional (3D) multi-pedestrian detection and tracking using a 3D light detection and ranging (LiDAR) point cloud in crowded environments. The pedestrian detection quickly segments a sparse 3D point cloud into individual pedestrians using a lightweight convolutional autoencoder and connected-component algorithm. The multi-pedestrian tracking identifies the same pedestrians considering motion and appearance cues in continuing frames. In addition, it estimates pedestrians' dynamic movements with various patterns by adaptively mixing heterogeneous motion models. We evaluate the computational speed and accuracy of each module using the KITTI dataset. We demonstrate that our integrated system, which rapidly and accurately recognizes pedestrian movement and appearance using a sparse 3D LiDAR, is applicable for robot navigation in crowded spaces.

• Korean Medical Education Review
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• v.26 no.1
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• pp.19-26
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• 2024

This study examines a systematic and effective approach to career guidance in medical education, with a particular focus on the 6-year integrated career guidance education framework implemented at the College of Medicine, The Catholic University of Korea. Based on the "New SLICE" educational development principles, this framework comprehensively addresses the needs of medical students in career planning and development. It is structured into three phases: understanding yourself, exploring options, and choosing a specialty. The first phase, understanding yourself, helps students to recognize their strengths, weaknesses, aptitudes, and potentials, thereby setting the direction for future career choices. This phase includes various psychological tests and Self-Development and Portfolio courses. The second phase, exploring options, enables students to engage in related activities such as research and practical training, providing direct and indirect experiences across various fields. This phase offers courses including Medical Field Experience, Career Guidance through the Learning Community & Advisory Professors, and Student Participation in Professor Research Projects. The final phase, choosing a specialty, involves students making decisions based on in-depth self-assessment and exploration of majors, with a capstone project being a significant component. Maximizing the efficiency of career decision-making requires integration between the basic medical curriculum and postgraduate education. Including the period up to residency entrance in the framework is necessary for effective career guidance education.

• Journal of the Korean Society of Radiology
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• v.85 no.3
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• pp.549-565
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• 2024

MRI is a crucial tool for diagnosing adenomyosis and identifying its related pathologies. To accurately diagnose adenomyosis, it is necessary to recognize both the typical MRI findings and atypical features of the condition. Recently, a standardized classification system has been developed to facilitate precise presurgical diagnosis of adenomyosis and to determine the appropriate treatment method. Differentiating between various subtypes based on MRI-based classification and identifying different MRI phenotypes can aid in categorizing patients with adenomyosis into specific treatment groups and monitoring their response to therapy.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.9 no.2
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• pp.229-236
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• 2016

In this paper, we suggest new technology that can draw characters at a long distance by tracking a hand and analysing the trajectories of hand positions. It's difficult to recognize the shape of a character without discriminating effective strokes from all drawing strokes. We detect end points from input trajectories of a syllable with camera system and localize strokes by using detected end points. Then we classify the patterns of the extracted strokes into eight classes and finally into two categories of stroke that is part of syllable and not. We only draw the strokes that are parts of syllable and can display a character. We can get 88.3% in classification accuracy of stroke patterns and 91.1% in stroke type classification.

• Journal of Korea Multimedia Society
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• v.16 no.8
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• pp.905-913
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• 2013

The Parallel Model Compensation Using Frequency-variant: FV-PMC for noise-robust speech recognition is a method to classify the noises, which are expected to be intermixed with input speech when recognized, into several groups of noises by setting average frequency variant as a threshold value; and to recognize the noises depending on the classified groups. This demonstrates the excellent performance considering noisy speech categorized as good using the standard threshold value. However, it also holds a problem to decrease the average speech recognition rate with regard to unclassified noisy speech, for it conducts the process of speech recognition, combined with noiseless model as in the existing PMC. To solve this problem, this paper suggests a enhanced method of recognition to prevent the unclassified through improving the extent of rating scales with use of maximum likelihood so that the noise groups, including input noisy speech, can be classified into more specific groups, which leads to improvement of the recognition rate. The findings from recognition experiments using Aurora 2.0 database showed the improved results compared with those from the method of the previous FV-PMC.

• Journal of the Korean Society of Costume
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• v.64 no.2
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• pp.135-149
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• 2014

This study attempts to adapt and develop Korean prehistoric petroglyphs into textile design for children. For this purpose, literature review was conducted to understand the plasticity and symbolism expressed in Korean prehistoric petroglyphs. Also this study conducted textile design development as follows: First, the figures and faces in petroglyphs were selected because children can easily recognize them. Second, two groups of different ages (7-9 and 10-13) were allowed to freely draw the selected motifs. Third, some of the motifs created by the children were selected that show children's individuality and also keep the features of the original motifs. The children's motifs were developed into textile design using Texpro and Photoshop. Then digital textile printing and 3D mapping program were used to make pajamas (5 types), umbrellas (3 types), and simulate bedding sets (2 types) for children. This research's results are as follows: First, petroglyphs are symbolic language of human's oldest art form, and related to religious and mythical belief. Korean petroglyphs have plasticity showing the development steps in technique and expression, with various shapes such as animals, human figures, faces, masks and abstract figures. Third, children showed their interests in various human figures and faces of the petroglyphs, and it was easy to draw those motifs in their own way. Fourth, 10 design motifs were selected from the children's work and used to create textiles considering materials and colors for children. Total 10 items were made and presented. This study confirmed the usefulness of applying prehistoric petroglyphs to children's textiles designs. These designs may grow as a kind of cultural product for children who know about and like petroglyphs. They can be a niche market items too, made to order for children with individuality and who favor originality.

• Korean Institute of Interior Design Journal
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• v.21 no.1
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• pp.203-210
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• 2012

Since a private museums started in Europe 17C, many private museums established for high-class people like aristocrats to collect and to keep art works and to appreciate for limited members. After the French Revolution in 18C, the publicity became an important social issue through all European regions, and the museum gradually changed into public ones. Like that, as the concept of museum changed, its social role as well as its function was also changed. The concept of collection and display or preservation changed into the concept of exhibition and appreciation featuring the publicity. With the year-round exhibition, a classical concept, the planned-exhibition, a new active concept set as an important factor for a museum's projects. The latter concept embraces new social issues. Therefore as the space for planned-exhibitions reflecting social issues every season was needed, a museum sets its planned-exhibition space with the changeability, and gradually expands this kind of space in size. It is expected that planned-exhibition spaces characterized as the changeability may give some changes on the flow of a museum's overall space, and may have substantial influences on the flow. To recognize the changes in a planned-exhibition space's influence on the museum, this study selected some national, public museums having the planned-exhibition space, and investigated their influences on each museum's overall space structure through the analysis on space syntax. This study assumed the change of planned-exhibition space as the changes in the number of convex spaces, and measured it. And to understand the planned-exhibition's changes on a museum's overall spaces, such changed assumed as the numeric changes in convex spaces and measured them. In addition, the numeric changes's influence on the overall space structure was analyzed by measuring the overall space's average integration level. Through the above two factors, the 3 research methodologies and analyzed results were drawn out.

• Journal of Broadcast Engineering
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• v.23 no.4
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• pp.462-473
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• 2018

Steganography is to hide information in a media data so naturally that the other users can not notice the existence of hidden information. Data encryption focuses on the complex encoding methods of information data in order to make it difficult to decode the information even though the other users notice the existence of information. On the other hand, steganography methods concentrate on natural hiding information into other media. Since the other users do not recognize the existence of hidden information, the information can be better protected. This paper introduces the concept of image steganography that an image information is concealed into another image (cover image), and proposes a new discrimination method of steganography. This paper explains the spatial methods with LSB manipulation and frequency methods using DCT coefficients. Finally, this paper proposes a new discrimination method of image steganography by inspecting that an image information is correctly decoded.