• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.897-911
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• 2021

This study aims to analyze the important role of business analytics capability, information quality, and innovation capability in influencing organization agility and organization performance during the Covid-19 pandemic. Data was collected from 76 companies from various sectors in Indonesia. Structural Equation Model-Partial Least Square (SEM-PLS) analysis was conducted to analyze the relationship between variables and test a series of hypotheses. Importance-Performance Matrix Analysis (IPMA), a useful analysis approach in PLS-SEM, is used, which extends the results of the estimated path coefficient (importance) by adding a dimension that considers the average values of the latent variable scores (performance). The IPMA approach examines not only the performance of an item but also the importance of that item. The results show that business analytics capability has a significant effect on information quality and innovation capability which then affects organization agility. Organizational performance is influenced by organizational agility. IPMA results show that organizational agility has the highest level of impact on organizational performance. This study will assist companies in planning business analytics, improving information quality, increasing innovation capability, and ultimately increasing agility and performance during the Covid-19 pandemic. This study will add to existing knowledge about previous literature, especially in the Covid-19 pandemic situation.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.555-562
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• 2021

This study aims to understand the effect of millennial transformational leadership (MTL) on organizational performance in Indonesian Fishery startups. The population of this study included select fishery startups in Indonesia based on the data released by the Ministry of Marine Affairs and Fisheries of the Republic of Indonesia and Digital Fishery Network. This study used the statistical method of PLS-SEM to analyze the data. The findings show that the MTL has no direct positive relationship with organizational performance; MTL has a direct positive relationship with organizational agility; MTL has a direct positive relationship with IT capability; IT capability has a direct positive relationship with organizational agility; organizational agility has a direct positive relationship with organizational performance in fishery startups in Indonesia during this pandemic era. It is suggested that future researches use covariance-based-structural equation modeling which is able to test the research model's feasibility. Roles of mediating variables in addition to the main variables-for example, organizational agility as a mediating variable on the relationship between MTL and organizational performance - are also suggested to be examined. In spite of the limitations, the model developed is still interesting to investigate and is expected to enhance the literature on transformational leadership.

• Korean Journal of Chemical Engineering
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• v.35 no.11
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• pp.2157-2163
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• 2018

Catalytic reactors have been essential for chemical engineering process, and different designs of reactors in multi-scales have been previously studied. Computational fluid dynamics (CFD) utilized in reactor designs have been gaining interest due to its cost-effective advantage in designing the actual reactors before its construction. In this work, butadiene synthesis via oxidative dehydrogenation (ODH) of n-butene using tubular reactor was used as a case study in the CFD model. The effects of coolant and reactor diameter were investigated in assessing the reactor performance. Based on the results of the CFD model, the conversion and selectivity were 86.5% and 59.5% respectively in a fixed bed reactor under adiabatic condition. When coolants were used in a tubular reactor, reactor temperature profiles showed that solar salt had lower temperature gradients inside the reactor than the cooling water. Furthermore, higher conversion (90.9%) and selectivity (90.5%) were observed for solar salt as compared to the cooling water (88.4% for conversion and 86.3% for selectivity). Meanwhile, reducing the reactor diameter resulted in smaller temperature gradients with higher conversion and selectivity.

• International Journal of Advanced Culture Technology
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• v.11 no.3
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• pp.172-181
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• 2023

Dunhuang murals are one of the most outstanding achievements in the art of traditional grotto painting in China, and are known as a "Wall Museum". As a representative of the heyday of Dunhuang murals, an in-depth exploration of Dunhuang murals from the perspective of color will help researchers understand the laws and connotations of color in Dunhuang murals during the Tang Dynasty and fully grasp the art of Dunhuang murals. The color system of the traditional Chinese "Five colors" concept expresses the cultural attributes and emotions of the Chinese people and has distinctive national characteristics. This thesis provides a theoretical grasp of the traditional Chinese "Five colors" view of color system, the Dunhuang murals of the Tang Dynasty, and the color configuration of the color composition principles, and uses the modern design principles of color composition to conduct an in-depth analysis of the configuration of the Dunhuang murals' use of color. Explore the unique characteristics of Tang Dynasty Dunhuang murals, and help modern designers master richer color application techniques by learning from and studying the harmonious patterns of Dunhuang murals to provide a new path for the dissemination of excellent Chinese traditional culture.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.856-863
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• 2009

The problem of urban decay in Hong Kong has drawn much attention of both practitioners and academics. Poorly managed buildings not just give a negative image to the Pearl of the Orient in the region, but also pose potential risk hazards to the health and safety of the general public. While it is necessary to devise a comprehensive plan on redevelopment and urban planning, preserving the existing buildings to maintain their conditions for habitation can be a short-term option to safeguard quality standard. With the increasing number of ageing buildings in Hong Kong, a lot of research efforts have been devoted to managing repair and maintenance projects properly (for example those initiated and funded by the Construction Industry Institute, Hong Kong; and the current study financially supported by The Hong Kong Polytechnic University). Given the short duration and more diversified nature of work, building repair and maintenance works are found to be more difficult to monitor and regulate when compared with new works. This paper aims to provide a comprehensive analysis on the problems of running building maintenance projects. An extensive review of contemporary literature was firstly conducted, which forms a solid basis for developing an empirical study on the problems and difficulties of running building maintenance projects from the viewpoints of industrial practitioners with a view to formulating effective strategies for managing maintenance projects successfully.

• Archives of Plastic Surgery
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• v.50 no.2
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• pp.177-181
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• 2023

Digital extensor hypoplasia (DEH) is a rare malformation that presents with loss of active finger extension at the metacarpophalangeal (MCP) joints. Descriptions of optimal treatment and outcomes in this population are sparse. We describe successful operative treatment of a child with DEH involving the extensor digitorum communis, extensor digiti minimi, and the extensor indicis proprius tendons. The 5-year-old male patient was referred for severe limitation on bilateral finger extension since birth. He had been previously diagnosed with arthrogryposis and managed conservatively. Due to lack of improvement, magnetic resonance imaging was done evidencing hypoplasia/aplasia of the extensor tendons. The patient underwent successful tendon transfers using extensor carpi radialis longus to the common extensor tendons, and one hand required an additional tenolysis procedure. 2 years postoperatively, his MCP position and finger extension are markedly improved, and he is able to grip objects without limitation or difficulty. The patient returned to full activity without restriction.

• Annual Conference on Human and Language Technology
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• 2022.10a
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• pp.295-299
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• 2022

자원이 부족한 언어 환경에서 사전학습 언어모델 학습을 위한 대용량의 코퍼스를 구축하는데는 한계가 존재한다. 본 논문은 이러한 한계를 극복할 수 있는 Cross-lingual Post-Training (XPT) 방법론을 적용하여 비교적 자원이 부족한 한국어에서 해당 방법론의 효율성을 분석한다. 적은 양의 한국어 코퍼스인 400K와 4M만을 사용하여 다양한 한국어 사전학습 모델 (KLUE-BERT, KLUE-RoBERTa, Albert-kor)과 mBERT와 전반적인 성능 비교 및 분석 연구를 진행한다. 한국어의 대표적인 벤치마크 데이터셋인 KLUE 벤치마크를 사용하여 한국어 하위태스크에 대한 성능평가를 진행하며, 총 7가지의 태스크 중에서 5가지의 태스크에서 XPT-4M 모델이 기존 한국어 언어모델과의 비교에서 가장 우수한 혹은 두번째로 우수한 성능을 보인다. 이를 통해 XPT가 훨씬 더 많은 데이터로 훈련된 한국어 언어모델과 유사한 성능을 보일 뿐 아니라 학습과정이 매우 효율적임을 보인다.

• International Journal of Advanced Culture Technology
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• v.11 no.1
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• pp.45-54
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• 2023

The digital age start in earnest with the widespread use of the Internet. As a digital product, virtual idols bring new value to the design and dissemination of commercial brand images. "Luo Tianyi" is the world's first avatar and VOCALOID voice bank of Chinese. It has a large number of fans in China and is widely used in brand promotion. Therefore, "Luo Tianyi" is taken as the research object. Initially, we investigated the virtual idols through books, literature on the internet and other materials. Then we discussed semiotics and theories related to culture code brand design methodology (CCBD). After that, putting the above theories into practice, combined with brand design cases, we analyzed the strategy of virtual idols in brand promotion and dissemination, at last, we have the conclusion as followed. The results show that the virtual idols, visual symbol of "Luo Tianyi" can express the Index and Symbol corresponding to the brand information according to the characteristics of the brand. As an image of cultural code, "Luo Tianyi" can present three visual images at the same time, which are contemporary, traditional and future. In addition, these three visual images are presented in a strong and weak combination, which has a positive impact on the visual communication of the brand.

• Annual Conference on Human and Language Technology
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• 2020.10a
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• pp.280-283
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• 2020

논문 초록은 논문의 내용을 요약해 제시함으로써 독자들의 연구결과물에 대한 빠른 검색과 이해를 도모한다. 초록의 구성은 대부분 전형적인 경우가 많기 때문에, 초록의 구조를 자동 분석하여 색인해두면 유사구조 초록을 검색하거나 생성하는 등의 연구효율화에 기여할 수 있다. 허세훈 외 (2019)는 초록 자동구조화를 위한 말뭉치 SPA2019 및 기계학습기반의 자동구조화 방법을 제시하였다. 본 연구는, 기존 SPA2019 의 구조화 오류를 바로잡고, SPA2019 에서 추출한 1,346 개의 초록데이터와 2,385 개의 초록데이터를 추가한 SPA2020 말뭉치를 새로이 소개한다. 또한, 다양한 선학습 기반 트랜스포머들을 활용하여 초록 자동구조화를 수행하였으며, 그 결과 BERT-0.86%, RoBERTa-0.86%, ALBERT-0.84%, XLNet-0.86%, DistilBERT-0.85% 등의 자동구조화 성능을 보임을 확인하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.9
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• pp.2334-2347
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• 2023

Metaverse services generate text data, data of ubiquitous computing, in real-time to analyze user emotions. Analysis of user emotions is an important task in metaverse services. This study aims to classify user sentiments using deep learning and pre-trained language models based on the transformer structure. Previous studies collected data from a single platform, whereas the current study incorporated the review data as "Metaverse" keyword from the YouTube and Google Play Store platforms for general utilization. As a result, the Bidirectional Encoder Representations from Transformers (BERT) and Robustly optimized BERT approach (RoBERTa) models using the soft voting mechanism achieved a highest accuracy of 88.57%. In addition, the area under the curve (AUC) score of the ensemble model comprising RoBERTa, BERT, and A Lite BERT (ALBERT) was 0.9458. The results demonstrate that the ensemble combined with the RoBERTa model exhibits good performance. Therefore, the RoBERTa model can be applied on platforms that provide metaverse services. The findings contribute to the advancement of natural language processing techniques in metaverse services, which are increasingly important in digital platforms and virtual environments. Overall, this study provides empirical evidence that sentiment analysis using deep learning and pre-trained language models is a promising approach to improving user experiences in metaverse services.