• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.43-45
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• 2021

The short-term quantitative precipitation prediction (QPF) system is important socially and economically to prevent damage from severe weather. Recently, many studies for short-term QPF model applying the Deep Neural Network (DNN) has been conducted. These studies require the sophisticated pre-processing because the mistreatment of various and vast meteorological data sets leads to lower performance of QPF. Especially, for more accurate prediction of the non-linear trends in precipitation, the dataset needs to be carefully handled based on the physical and dynamical understands the data. Thereby, this paper proposes the following approaches: i) refining and combining major factors (weather radar, terrain, air temperature, and so on) related to precipitation development in order to construct training data for pattern analysis of precipitation; ii) producing predicted precipitation fields based on Convolutional with ConvLSTM. The proposed algorithm was evaluated by rainfall events in 2020. It is outperformed in the magnitude and strength of precipitation, and clearly predicted non-linear pattern of precipitation. The algorithm can be useful as a forecasting tool for preventing severe weather.

• Journal of the Korean Geotechnical Society
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• v.39 no.12
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• pp.37-46
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• 2023

Dynamic soil properties are essential factors for predicting the detailed behavior of the ground. However, there are limitations to gathering soil samples and performing additional experiments. In this study, we used an artificial neural network (ANN) to predict dynamic soil properties based on static soil properties. The selected static soil properties were soil cohesion, internal friction angle, porosity, specific gravity, and uniaxial compressive strength, whereas the compressional and shear wave velocities were determined for the dynamic soil properties. The Levenberg-Marquardt and Bayesian regularization methods were used to enhance the reliability of the ANN results, and the reliability associated with each optimization method was compared. The accuracy of the ANN model was represented by the coefficient of determination, which was greater than 0.9 in the training and testing phases, indicating that the proposed ANN model exhibits high reliability. Further, the reliability of the output values was verified with new input data, and the results showed high accuracy.

• PNF and Movement
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• v.19 no.3
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• pp.423-433
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• 2021

Purpose: Proprioceptive neuromuscular facilitation (PNF) is a method for promoting functional movements by facilitating neuromuscular responses through the stimulation of proprioceptors in the body using spiral and diagonal patterns. Irradiation, a basic principle of PNF, is a phenomenon in which the muscle activity of a body part caused by resistance is increased or spread into muscles in other parts via their connected muscles. Resistance training can be divided by body alignment into closed and open chain exercises. Methods: In this study, 19 healthy men in their 20s and 30s were selected as subjects. They performed PNF hip flexion, abduction, and internal rotation motions on their dominant side in an open chain exercise posture in which the nondominant sole was away from the wall, and in a closed chain exercise posture in which the sole was fixed to the wall. The nondominant leg's muscle activity was measured while resistance was maintained with applied pressure at 0%, 25%, 50%, 75%, and 100% of the maximum muscle strength in the last range of motions. A two-way analysis of variance (ANOVA) was conducted for a comparative analysis of the contralateral leg's muscle activity according to the chain exercise postures and the intensity of resistance intensity during PNF hip flexion, abduction, and internal rotation. In addition, an independent sample T-test was conducted for a comparative analysis of each chain exercise posture according to the intensity of resistance. A one-way ANOVA and a Scheffe post-hoc test were also performed to analyze the contralateral leg's muscle activity according to the intensity of resistance in the closed and open chain exercise postures. Results: Results of the two-way ANOVA found that the gluteus medius and the biceps femoris had statistically significant differences in both the chain exercise postures and resistance intensity (p<0.05), and that the vastus medialis and the gastrocnemius did not exhibit statistically significant differences in the chain exercise postures (p>0.05) but showed statistically significant differences in resistance intensity (p<0.05). As a result of the independent sample T-test, the application of the PNF hip flexion-abduction-internal rotation pattern led to a statistically significant difference in the contralateral gluteus medius during the closed chain exercise posture (p<0.05). According to the results of the one-way ANOVA and the Scheffe post-analysis, statistically significant differences were observed in the gluteus medius at 50%, biceps femoris at 75%, vastus medialis at 100%, and gastrocnemius at 100% during the closed chain exercise posture based on a resistance intensity of 0% (p<0.05). In the open chain exercise posture, statistically significant differences were found in the gluteus medius at 50%, biceps femoris at 50%, and vastus medialis at 75% based on the resistance intensity of 0% (p<0.05). In the same posture, there was no significant difference in the gastrocnemius's resistance intensity (p>0.05). Conclusion: When the PNF leg pattern is applied, each muscle requires effective chain exercise postures and resistance intensity to generate the contralateral leg muscle's irradiation.

• Journal of Internet Computing and Services
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• v.16 no.6
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• pp.11-21
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• 2015

As growing interest in Human-Computer Interaction(HCI), research on HCI has been actively conducted. Also with that, research on Natural User Interface/Natural User eXperience(NUI/NUX) that uses user's gesture and voice has been actively conducted. In case of NUI/NUX, it needs recognition algorithm such as gesture recognition or voice recognition. However these recognition algorithms have weakness because their implementation is complex and a lot of time are needed in training because they have to go through steps including preprocessing, normalization, feature extraction. Recently, Kinect is launched by Microsoft as NUI/NUX development tool which attracts people's attention, and studies using Kinect has been conducted. The authors of this paper implemented hand-mouse interface with outstanding intuitiveness using the physical features of a user in a previous study. However, there are weaknesses such as unnatural movement of mouse and low accuracy of mouse functions. In this study, we designed and implemented a hand mouse interface which introduce a new concept called 'Virtual monitor' extracting user's physical features through Kinect in real-time. Virtual monitor means virtual space that can be controlled by hand mouse. It is possible that the coordinate on virtual monitor is accurately mapped onto the coordinate on real monitor. Hand-mouse interface based on virtual monitor concept maintains outstanding intuitiveness that is strength of the previous study and enhance accuracy of mouse functions. Further, we increased accuracy of the interface by recognizing user's unnecessary actions using his concentration indicator from his encephalogram(EEG) data. In order to evaluate intuitiveness and accuracy of the interface, we experimented it for 50 people from 10s to 50s. As the result of intuitiveness experiment, 84% of subjects learned how to use it within 1 minute. Also, as the result of accuracy experiment, accuracy of mouse functions (drag(80.4%), click(80%), double-click(76.7%)) is shown. The intuitiveness and accuracy of the proposed hand-mouse interface is checked through experiment, this is expected to be a good example of the interface for controlling the system by hand in the future.

• Asia pacific journal of information systems
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• v.22 no.2
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• pp.39-69
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• 2012

With the advent of communication technologies including electronic collaborative tools and conferencing systems provided over the Internet, virtual collaboration is becoming increasingly common in organizations. Virtual collaboration refers to an environment in which the people working together are interdependent in their tasks, share responsibility for outcomes, are geographically dispersed, and rely on mediated rather than face-to face, communication to produce an outcome. Research suggests that new sets of individual skill, knowledge, and ability (SKAs) are required to perform effectively in today's virtualized workplace, which is labeled as individual virtual competence. It is also argued that use of online social networking sites may influence not only individuals' daily lives but also their capability to manage their work-related relationships in organizations, which in turn leads to better performance. The existing research regarding (1) the relationship between virtual competence and task performance and (2) the relationship between online networking and task performance has been conducted based on different theoretical perspectives so that little is known about how online social networking and virtual competence interplay to predict individuals' task performance. To fill this gap, this study raises the following research questions: (1) What is the individual virtual competence required for better adjustment to the virtual collaboration environment? (2) How does online networking via diverse social network service sites influence individuals' task performance in organizations? (3) How do the joint effects of individual virtual competence and online networking influence task performance? To address these research questions, we first draw on the prior literature and derive four dimensions of individual virtual competence that are related with an individual's self-concept, knowledge and ability. Computer self-efficacy is defined as the extent to which an individual beliefs in his or her ability to use computer technology broadly. Remotework self-efficacy is defined as the extent to which an individual beliefs in his or her ability to work and perform joint tasks with others in virtual settings. Virtual media skill is defined as the degree of confidence of individuals to function in their work role without face-to-face interactions. Virtual social skill is an individual's skill level in using technologies to communicate in virtual settings to their full potential. It should be noted that the concept of virtual social skill is different from the self-efficacy and captures an individual's cognition-based ability to build social relationships with others in virtual settings. Next, we discuss how online networking influences both individual virtual competence and task performance based on the social network theory and the social learning theory. We argue that online networking may enhance individuals' capability in expanding their social networks with low costs. We also argue that online networking may enable individuals to learn the necessary skills regarding how they use technological functions, communicate with others, and share information and make social relations using the technical functions provided by electronic media, consequently increasing individual virtual competence. To examine the relationships among online networking, virtual competence, and task performance, we developed research models (the mediation, interaction, and additive models, respectively) by integrating the social network theory and the social learning theory. Using data from 112 employees of a virtualized company, we tested the proposed research models. The results of analysis partly support the mediation model in that online social networking positively influences individuals' computer self-efficacy, virtual social skill, and virtual media skill, which are key predictors of individuals' task performance. Furthermore, the results of the analysis partly support the interaction model in that the level of remotework self-efficacy moderates the relationship between online social networking and task performance. The results paint a picture of people adjusting to virtual collaboration that constrains and enables their task performance. This study contributes to research and practice. First, we suggest a shift of research focus to the individual level when examining virtual phenomena and theorize that online social networking can enhance individual virtual competence in some aspects. Second, we replicate and advance the prior competence literature by linking each component of virtual competence and objective task performance. The results of this study provide useful insights into how human resource responsibilities assess employees' weakness and strength when they organize virtualized groups or projects. Furthermore, it provides managers with insights into the kinds of development or training programs that they can engage in with their employees to advance their ability to undertake virtual work.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.1
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• pp.446-455
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• 2018

This study examined the effects of different performance sequences of aerobic and strength exercises for 10 weeks on the body composition, physical function, and hormones in males aged in their 20s. A total of 30 subjects (N=30) were assigned randomly to either aerobic and resistance exercise (n=10, A+R), resistance and aerobic exercise (n=10, R+A), or a control group (n=10, CON). The different order of aerobic (HRmax 50-80%, 30 min) and resistance (50-80% 1RM, 30 min) exercises for 10 weeks was consisted of 3 times per week and 80 minutes per session. The body composition, physical function, and hormones were measured before and after the training period. The lean body mass (p=.015) was increased and the fat mass (p=.042) and % body fat (p=.007) in the A+R were decreased. The skeletal muscle mass (p=.001) in the R+A was increased and % body fat was decreased (p=.003). The weight (p=.03) and % body fat (p=.039) in the CON were increased. The aerobic capacity (p=.011) and muscular endurance (p=.001) in the A+R group were improved. The muscular endurance (p=.0016) in the R+A was improved. The epinephrine (p=.048), norepinephrine (p=.013), and cortisol (p=.045) levels in the A+R group were increased. The epinephrine (p=.046) level in the R+A group was increased. The insulin (p=.007) level increased in the CON group. In conclusion, both A+R and R+A groups produced superior results to the CON group but the A+R group was slightly more efficient than the R+A group.

• Cartoon and Animation Studies
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• s.34
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• pp.317-344
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• 2014

Perspectives on the basis of arts and cultural management, this study intends to suggest improvements in core curriculums that are required in order for South Korea, a country that has initiated into the animation industry through outsourcing from big-budget animation production countries such as America and Japan, to develop its own strong base in creative animation industry. The perspectives of arts management in this context means an integration nexus between human studies, social science and management, and suggestions are as follow: First, it is crucial to understand the current trend of animation industry structure across the globe, as well as to develop the ability of co-production. Animation industry often requires technical skills, capital strength and human resources, each having equal importance. Therefore, thorough analysis of the three components in worldwide animation industry must be preceded for animation production services. To do so, collaboration with major animation creation countries is the best option and is highly encouraged, so that the national animation curriculum shall be enhanced to meet such demands and hence develop various abilities. The second is a good understanding of new-media and new-platforms. Not only the traditional distributor of animation such as television and theater, the distribution system expands its scope to a variety of online sources including pod-casts and the Internet. Under these circumstances, a deep understanding towards animation distribution system and an analysis of the new consumer channel are also of paramount importance for animation production. Third, a possibility of animation supply chain through diversified routes and media have paved the way for a possible animation production services and distribution without a mega-budget. Thus, new curriculum shall need to reinforce marketing and management aspects that will in turn help individuals to establish a self-employed creative business. Last but not least, this study further includes illustration of current curriculum of animation studies in national universities, followed by detailed suggestions for the curriculum improvements based on the above mentioned three factors. It was observed that the current curriculums have been solely focused on practical works and technical skills of animation and art studies; a four-year-course colleges that provide animation courses usually lack components of human studies, social science and management. Thus, this study proposes essential contexts of management studies that are needed for individual business and also curriculum improvements that are derived from the analysis of the current industry and the new media.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.10
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• pp.480-489
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• 2017

Blood flow restriction(BFR) exercise is defined as low intensity and short term exercise using pneumatic pressure belts at the top of limbs, which affects the physiological functions of the body. The purpose of this study was to investigate the effects of walking exercise with BFR on inflammatory index, isokinetic muscle function, and thigh circumference in obese women. Eleven obese women(> BMI $25kg/m^2$ & > body fat 30%) wore pneumatic pressure belts on both femurs and performed walking exercise twice per day, 3 days/wk for 4 weeks (walking 2 min; resting 1 min). Data analysis was carried out using paired t-test. Body weight, BMI, and body fat significantly decreased after exercise(p<.05), and right thigh circumference significantly decreased(p<.05). The concentration of plasma IL-6 significantly increased(p<.05) after exercise. TNF-${\alpha}$ level was not statistically different but tended to slightly increase. CRP slightly decreased, although it did not reach statistical significance after exercise. Muscle strength significantly increased in the $60^{\circ}/sec$ of right/left side extension, left side flexion, and $180^{\circ}/sec$ of left side extension after training(p<.05). These results suggest that 4 weeks of blood flow restriction walking exercise has positive effects on inflammatory index and isokinetic muscle function. Therefore, we consider that blood flow restriction exercise can be used for treatment of obesity, related chronic diseases, and metabolic syndrome. Further, blood flow restriction exercise for a short time has similar effects as a high intensity resistance program.

• Korean Journal of Remote Sensing
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• v.36 no.5_3
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• pp.1109-1123
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• 2020

In South Korea with forest as a major land cover class (over 60% of the country), many wildfires occur every year. Wildfires weaken the shear strength of the soil, forming a layer of soil that is vulnerable to landslides. It is important to identify the severity of a wildfire as well as the burned area to sustainably manage the forest. Although satellite remote sensing has been widely used to map wildfire severity, it is often difficult to determine the severity using only the temporal change of satellite-derived indices such as Normalized Difference Vegetation Index (NDVI) and Normalized Burn Ratio (NBR). In this study, we proposed an approach for determining wildfire severity based on machine learning through the synergistic use of Sentinel-1A Synthetic Aperture Radar-C data and Sentinel-2A Multi Spectral Instrument data. Three wildfire cases-Samcheok in May 2017, Gangreung·Donghae in April 2019, and Gosung·Sokcho in April 2019-were used for developing wildfire severity mapping models with three machine learning algorithms (i.e., Random Forest, Logistic Regression, and Support Vector Machine). The results showed that the random forest model yielded the best performance, resulting in an overall accuracy of 82.3%. The cross-site validation to examine the spatiotemporal transferability of the machine learning models showed that the models were highly sensitive to temporal differences between the training and validation sites, especially in the early growing season. This implies that a more robust model with high spatiotemporal transferability can be developed when more wildfire cases with different seasons and areas are added in the future.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.2
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• pp.1092-1100
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• 2015

This thesis is a part of a case study conducted in order to understand the trends of the 16th~17th century Cheongju region bigwigs, and has examined the life and academic stream of Seogye Deuk-Yoon LEE (1553-1630) focused on the previous study, "The Great Family Genealogy of Ikjaegong of the Gyeongju LEE Family". Seogye Deuk-Yoon LEE learned from his father Seomgye Jam LEE, and GiSEO, Ji-Hwa PARK from an early age, and based the basic orientation of his studies on one's moral and religious self one's moral and religious self'. This is how he became to emphasize "Sohak" (an introductory book of Confucianism for children), and he made an effort to realize the world of Neo-Confucianism by distributing the 'YEO's Hyangyak(Lue-shih-hsiang-yueeh : autonomic regulations of the district areas)' published on "Sohak". Furthermore, he made great effort in education of the Cheongju by regarding it as his own mission to teach young scholars, continuing on the footsteps of his father. Considering this, Seogye was not only a Confucian scholar that devoted himself to 'Sugi(moral training of himself', but was also a practical scholar that committed his sense of social responsibility in ' teaching' and 'governing the people, who greatly affected the academic world of the regional bigwigs of the Cheongju during the 17th century. Furthermore, Deuk-Yoon LEE was a member of the 'Nangseongpalhyeon(eight wise men of the Cheongju region) together with his disciple Deok-soo LEE, who performed a core role in establishing the 'Gihohakpa(Capital and Chungcheong province School)' and 'Hoseosarim(forest of scholars in Chungcheong province)' of the Cheongju region. As a main figure in establishing the Sinhang Confucian academy, he prepared the socio-economic basis for the 'Gihohakpa' to take place in the Cheongju, and by academically associating with Sagye Jang-Seng Kim without regarding their conflicting parties, he became the bridge in allowing his disciple, Deok-Soo LEE to associate with the academic stream and the 'Gihohakpa'. Through such roles, he allowed the relatively easy establishment of the 'Gihohakpa' and 'Hoseosarim', which continued to Jang-Seng KIM and Si-Yeol SONG, in order to prepare the basis and establish the strength of its basis in the Cheongju region from the late 17th century.