• Journal of the Daesoon Academy of Sciences
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• v.49
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• pp.365-399
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• 2024

Tang Taizong was regarded as the emperor with the idea of cherishing the common people, paying close attention to his subjects' military service, and mobilizing of the people as recorded in Zhenguan Zhengyao (Essentials for Government), from the Zhenguan period during the reign of Tang Taizong. Contrary to the above, in reality, Li Shimin, the name of Tang Taizong, mobilized many subjects in the construction of Luoyang Palace in second capital city called Dongdu and Jiucheng Palace, a summer palace during Sui-Tang dynasty, and he requisitioned the subjects of Guannei Province and Longyou Province to install and protect provisional powers and a county in the Gaochang Kingdom. Given his antinomic behavior, the evaluation of Li Shimin as an ideal Confucian monarch should be reconsidered based on Zhenguan zhengyao and other historical records. Dividing the 19 years before Goguryeo-Tang War in 645 into two periods, from the throne to 637 and from 639-644, the subjects were burdened by the construction of Luoyang Palace and Jiucheng Palace in the former period. In the latter period, after the conquest of the Gaochang Kingdom, there was a requisition for the transport of troops and supplies to be stationed in Xizhou, a reorganized prefecture and counties in the Gaochang Kingdom territory; probably mainly limited to the provinces of Guannei and Lungyou, which were geographically close to the West Regin that is now known as Xinjiang Uygur Autonomous Region. The burden in the latter period was relatively less than in the former period. Even so, the number of households in 639, fourteenth year of Tang Taizong's reign, was only 34.1% and 26.8%, respectively, in 609, the sixth year of Sui Yangdi's reign. In this situation, Taizong's Goguryeo Invasion was not conducted in an economically situation during the early days of the Tang Dynasty.

• Journal of the Korea Society of Computer and Information
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• v.29 no.8
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• pp.11-21
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• 2024

This study explores the use of virtual reality (VR) technology to identify and label key segments of the golf swing. To address the limitations of existing VR devices, we developed a platform to collect kinematic data from various VR devices using the OpenVR SDK (Software Development Kit) and SteamVR, and developed a semi-automated labeling technique to identify and label temporal changes in kinematic behavior through LSTM (Long Short-Term Memory)-based time series data analysis. The experiment consisted of 80 participants, 20 from each of the following age groups: teenage, young-adult, middle-aged, and elderly, collecting data from five swings each to build a total of 400 kinematic datasets. The proposed technique achieved consistently high accuracy (≥0.94) and F1 Score (≥0.95) across all age groups for the seven main phases of the golf swing. This work aims to lay the groundwork for segmenting exercise data and precisely assessing athletic performance on a segment-by-segment basis, thereby providing personalized feedback to individual users during future education and training.

• The Journal of Bigdata
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• v.9 no.1
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• pp.153-168
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• 2024

In summer, as chillers are considered the main energy consumer of building, the efficient chiller operation is considered important. However, it is difficult to operate chillers to meet the cooling demand of the building as the demand fluctuates with various factors like the internal, external environment and behavior of the occupants and as chiller's constraint cause the current operation constrains operation in future. To address these problems, this study proposes a multi-chiller operation model based on deep reinforcement learning considering the minimum up-time of the chiller. The proposed model learns the value of the chiller operations according to the state composed of metrological and cooling system information and determines operation that minimizes the difference between the supply load and the cooling demand among feasible operations. The practical applicability was improved by applying the training algorithm considering the minimum up-time constraint and Experiments results using the actual data from a Korean university confirmed that the proposed model complies with the chiller constraints and outperforms the existing chiller operation logic of the university in terms of differences from the building cooling demand.

• Journal of the Korean Crystal Growth and Crystal Technology
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• v.34 no.4
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• pp.131-138
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• 2024

In this study, the microstructure and plasma resistance characteristics of 35Bi₂O₃-15Al₂O₃-50SiO₂ (BiAl SiO) and 35Bi₂O₃-7.5Al₂O₃-50SiO₂-7.5AlF₃ (BiAlSiOF) glass layers coated on sintered alumina substrates were investigated according to the sintering conditions. The coated layers were formed using the bar coating method and then sintered at a temperature in the range of 700~900℃, which corresponds to the temperature before and after the hemisphere forming temperature, after a debinding process. The plasma resistance of the two coated glasses was approximately 2~3 times higher than that of the quartz glass, and in particular, the BiAlSiOF glass film with F added showed higher plasma resistance than BiAlSiO. It is thought to be due to the effect of suppressing the reaction with fluorine gas by adding fluorine to the glass. When the sintering time was increased at 700℃ and 800℃, the plasma resistance of both glasses improved, but when the sintering temperature was increased to 900℃, the plasma resistance decreased again (i.e., the etching rate increased). This phenomenon is thought to be related to the crystallization behavior of both glasses. The change in plasma resistance depending on the sintering conditions is thought to be related to the appearance of Al and Bi-rich phases.

• The Journal of Bigdata
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• v.8 no.2
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• pp.1-13
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• 2023

Current analysis of air passengers mainly relies on statistical methods, but there are limitations in analyzing detailed aspects such as travel routes, number of regional passengers and airport access times. However, with the advancement of big data technology and revised three data acts, big data-based transportation analysis has become more active. Mobile communication data, which can precisely track the location of mobile phone terminals, can serve as valuable analytical data for transportation analysis. In this paper, we propose a air passenger Origin/Destination (O/D) extraction algorithm based on mobile communication data that overcomes the limitations of existing air transportation user analysis methods. The algorithm involves setting airport signal detection zones at each airport and extracting air passenger based on their base station connection history within these zones. By analyzing the base station connection data along the passenger's origin-destination paths, we estimate the entire travel route. For this paper, we extracted O/D information for both domestic and international air passengers at all domestic airports from January 2019 to December 2020. To compensate for errors caused by mobile communication service provider market shares, we applied a adjustment to correct the travel volume at a nationwide citizen level. Furthermore correlation analysis was performed on O/D data and aviation statistics data for air traffic users based on mobile communication data to verify the extracted data. Through this, there is a difference in the total amount (4.1 for domestic and 4.6 for international), but the correlation is high at 0.99, which is judged to be useful. The proposed algorithm in this paper enables a comprehensive and detailed analysis of air transportation users' travel behavior, regional/age group ratios, and can be utilized in various fields such as formulating airport-related policies and conducting regional market analysis.

• The Journal of Bigdata
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• v.8 no.2
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• pp.73-82
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• 2023

With 78% of current fisheries workers being elderly, there's a pressing need to address labor shortages. Consequently, active research on smart aquaculture technologies, centered on object detection and tracking algorithms, is underway. These technologies allow for fish size analysis and behavior pattern forecasting, facilitating the development of real-time monitoring and automated systems. Our study utilized video data from cameras outside aquaculture facilities and implemented fish detection and tracking algorithms. We aimed to tackle high maintenance costs due to underwater conditions and camera corrosion from ammonia and pH levels. We evaluated the performance of a real-time system using YOLOv7 for fish detection and the SORT algorithm for movement tracking. YOLOv7 results demonstrated a trade-off between Recall and Precision, minimizing false detections from lighting, water currents, and shadows. Effective tracking was ascertained through re-identification. This research holds promise for enhancing smart aquaculture's operational efficiency and improving fishery facility management.

• Fisheries and Aquatic Sciences
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• v.27 no.4
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• pp.213-224
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• 2024

Betta rubra, classified as endangered fish species by the International Union for Conservation of Nature (IUCN), has been successfully bred and raised in captivity for two generations under laboratory conditions. This study aimed to provide comprehensive information on the captive breeding of B. rubra, focusing on various parameters crucial for ex-situ conservation and domestication. The research involved breeding trials, embryo and larvae observation, first feeding experiments, larva and fry rearing trials, and the evaluation of growth and reproduction in two generations. The study revealed that the female B. rubra, with an average total length of 5.17 ± 0.15 cm and weight of 1.61 ± 0.06 g, produced an average of 73.67 ± 7.09 eggs, 34.33 ± 5.13 total larvae, and exhibited a hatching rate of 46.67 ± 5.77%. The embryogenesis process commenced on the day of spawning (dps) and continued until the eggs hatched at 6 dps. Larvae development and yolk absorption occurred from 0 to 6 days post-hatching (dph). The study also examined the impact of different initial feeding options, with chopped Tubifex resulting in the most significant in- crease (p < 0.05) in length. The growth pattern of B. rubra larvae showed slow initial growth during the first seven days, followed by a rapid exponential growth phase from day 8 to day 39. Two generations of B. rubra (G1 and G2) were successfully bred in captivity, with G2 showing a better tendency for growth in length and weight compared to G1. Notably, there were no significant differences (p > 0.05) in reproductive success between the wild-origin broodstock (G0), G1, or G2. This research contributes valuable insights into the captive breeding of B. rubra and its early life stages, offering critical information for the conservation and sustainable management of this endangered species. Further research is needed to explore the long-term effects of domestication on behavior, physiology, and phenotypic diversity.

• Journal of Music and Human Behavior
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• v.21 no.2
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• pp.31-49
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• 2024

The stress experienced by employees on international deployment has serious implications for their physical and mental health as well as their work performance. This study aimed to investigate the impact of resource-oriented music listening on work-related stress among employees on international deployment. The study recruited 10 participants of varying ages and occupations who had worked abroad for at least three years and conducted five personalized resource-oriented music listening sessions along with interviews. The Global Assessment of Recent Stress Scale (GARS) and Job Stress Scale (JSS) were used to measure stress levels before and after the intervention. Results showed that participants' work-related stress and perceived stress were significantly reduced following the music therapy intervention. The study also found that "awareness of own's life situation" and "self-acceptance of here and now emotional challenges" were factors that reduced regulatory stress among employees on international deployment. This study highlights the potential of resource-oriented music listening as a useful tool for managing workplace stress and promoting the well-being of expatriate employees.

• Journal of Music and Human Behavior
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• v.21 no.2
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• pp.1-30
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• 2024

The purpose of this study is to develop a rhythm-based music intervention protocol to enhance timing regulation in children with ADHD and investigate its feasibility. For this purpose, a three-phase study was conducted involving ADHD children and typically developing children. In the first phase, group-specific baseline measurements were taken for auditory attention (KAT), motor timing, and perceptual timing. In the second phase, a rhythm-based music intervention protocol incorporating key factors was developed. In the third phase, the developed protocol was applied to ADHD children to investigate the variables affecting timing regulation and to verify its effectiveness. Results from the first phase revealed significant differences in the timing values of children with ADHD, particularly in tasks requiring discrimination of sound duration and precision in rhythm patterns. Additionally, exploratory factor analysis of KAT results and motor/perceptual timing identified three clusters: attentional responsiveness, attentional synchronization, and attentional sophistication. In the second phase, a protocol consisting of tasks involving synchronization, attentional shifting, and rhythm production at various difficulty levels was developed and validated for expert validity. In the third phase, individual application of the protocol to children with predominantly inattentive and hyperactive-impulsive ADHD subtypes demonstrated changes in timing regulation tasks. This study provided basic data for using rhythm as an effective facilitation tool that leads from voluntary to involuntary attention in children with ADHD.

• Journal of Music and Human Behavior
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• v.21 no.2
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• pp.51-75
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• 2024

This case study aimed to develop a therapeutic rap protocol based on narrative components for improving discourse skills of adolescents with mild intellectual disability (ID) and to explore its applicability. The protocol matched narrative elements (background, initiating event, internal response, attempts, and reaction) with rap components (verse, hook, and interjections), guiding participants to narrate their experiences in a connected discourse form. The protocol was also structured to gradually increase in difficulty, considering the developmental levels of adolescents with ID and it included steps for understanding discourse structures, applying narrative elements to content creation, and expanding narratives. Post-intervention analysis of the stories and rap lyrics created by participants to express their real-life experiences showed that participants increased the length of their stories and rap compositions, with notable improvements in rhythmicity and the inclusion of narrative elements. These findings suggest that, instead of constructing rap from random utterances, providing a structured framework reflecting discourse structure enhanced participants' understanding of event context and logical connections. Furthermore, the various elements and rhythmic features of rap can strengthen motivation and organization in discourse. This study highlights the therapeutic potential of rap in addressing the unique developmental needs of adolescents with mild ID, thereby diversifying and systematizing music therapy interventions for this population.