• Proceedings of the Korean Society of Computer Information Conference
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• 2021.01a
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• pp.299-300
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• 2021

이른 새벽, 건설업 일용직 근로자들은 '오늘 일을 할 수 있을까?'란 불안감과 COVID-19의 감염 위험을 안고 인력사무소에 출근한다. 새벽 건설업 시장은 높은 업무 강도와 비효율적인 구인/구직 프로세스로 인해 진입장벽이 높고, 건설기능인력의 고령화로 불법체류 근로자 고용 등의 난항을 겪고 있다. 이에 따라 본 연구에서는 건설업 시장의 구인/구직 정보를 제공하여 앱 내에서 근로자 채용을 가능하게 하고, 외부 API를 사용하여 출퇴근 관리, 안전 이수증 촬영을 통한 인증 등 근로자와 구인자를 위한 비대면 구인/구직 앱 '인력거'를 개발하였다. '인력거' 앱을 통해 간소화된 구인/구직 프로세스 등을 통해 건설업에서 청년 일자리 증대가 기대된다.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.983-985
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• 2022

2022년 기준, 독거노인 가구 수 176만 가구 시대에 노인을 위한 케어 서비스가 필요하다. 고령화 사회에 맞춰, 노인 케어 서비스가 많이 출시되었으나 비대면 케어 서비스는 부족한 면이 있다. 비대면 케어 서비스의 경우, 특히 비싼 값에 판매된다는 단점과 로봇과 소통해야 한다는 단점이 있다. 이를 보완하여 저렴한 가격에 생명력을 지닌 식물을 이용해 소통을 증진시켜 우울감 해소를 돕는다면, 노인 비대면 케어 체계에 큰 도움을 줄 것이라고 확신한다. 이에 따라, 본 연구에서는 식물와 어플리케이션을 이용하여 저가격 보급화가 가능한 비대면 복지 시스템을 개발하고자 한다. 구체적으로, 화분이라는 대화 매개체를 통해 어르신들의 대화 증진을 유도하여 우울증 완화에 도움을 주고자 한다. 또한, 시스템을 통해 수집되는 일상 데이터를 활용해 이상징후를 파악하여 고독사 예방을 위한 후속 조치를 취할 수 있다. 본 논문에서는 위의 시스템을 통해 복지 사각지대를 해소하며, 어르신들의 정신 건강 증진에 기여할 수 있을거라 기대한다.

• International journal of advanced smart convergence
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• v.12 no.4
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• pp.182-189
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• 2023

A recently research, object detection and segmentation have emerged as crucial technologies widely utilized in various fields such as autonomous driving systems, surveillance and image editing. This paper proposes a program that utilizes the QT framework to perform real-time object detection and precise instance segmentation by integrating YOLO(You Only Look Once) and Mask R CNN. This system provides users with a diverse image editing environment, offering features such as selecting specific modes, drawing masks, inspecting detailed image information and employing various image processing techniques, including those based on deep learning. The program advantage the efficiency of YOLO to enable fast and accurate object detection, providing information about bounding boxes. Additionally, it performs precise segmentation using the functionalities of Mask R CNN, allowing users to accurately distinguish and edit objects within images. The QT interface ensures an intuitive and user-friendly environment for program control and enhancing accessibility. Through experiments and evaluations, our proposed system has been demonstrated to be effective in various scenarios. This program provides convenience and powerful image processing and editing capabilities to both beginners and experts, smoothly integrating computer vision technology. This paper contributes to the growth of the computer vision application field and showing the potential to integrate various image processing algorithms on a user-friendly platform

• Journal of Distribution Science
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• v.22 no.1
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• pp.79-94
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• 2024

Purpose: The popularity of social media has altered how customers interact with businesses, and an increasing number of customers prefer to voice their complaints on social media. Bystanders can observe the customer complaint process on social media, but the impact of transparency on bystanders remains uncertain. Therefore, this study established and verified a model for defining the effect of transparency and service recovery types on bystanders. Research Design and Methodology: In this study, we used the internet survey platform "So Jump" to collect data. And we validated three studies with SPSS 26.0 and Smart PLS 4.0. Result: First, we showed that the transparency process (vs. result) is more likely to increase customer forgiveness and E-loyalty and reduce E-NWOM intention among bystanders. Second, customer forgiveness also plays a complementary mediating role between transparency and E-loyalty, as well as between transparency and E-NWOM intention. Finally, we found a modest interaction effect between transparency (process vs. result) and service recovery types (psychological vs. tangible vs. hybrid) on bystanders' customer forgiveness and E-loyalty. Conclusions: This study provides actionable recommendations for how service managers can effectively employ social media as a means for distributing feedback information to manage service recovery in the future.

• Fourth Industrial Review
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• v.4 no.1
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• pp.1-9
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• 2024

Purpose: Education is the part of a fundamental human right across the world. In recent years, the trend of virtual education has increased tremendously. The paper aims to find the impact of adoption, accessibility, interactions, knowledge, and satisfaction on the success of transformation towards virtual education. Research design, data and methodology: Primary data has been gathered through the use of responses from students taking admission in virtual higher education to standardized questionnaires. Of the 250, only 122 were considered complete and have been used in further studies. Convinced random sampling method has been used. The results were evaluated using the Likert Five-Point Scale. For applying these statistical tools software SmartPLS and SPSS 19 have been used. The fitness of the model has been re-checked through an Artificial Neural Network (ANN). Result: Results derived that adoption, accessibility, and interactions have a significant impact on knowledge, knowledge influences satisfaction level and satisfaction have a meaningful impact on the success of transformation towards virtual education. Conclusion: It can be concluded that virtual education has the potential to change the future of the education system and its potential in India. The highest importance is due to satisfaction (100%), adoption (98.7%), knowledge (91.4%), accessibility (62%), and interaction (29.2%).

• Journal of Distribution Science
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• v.22 no.7
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• pp.1-11
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• 2024

Purpose: Shopee, Indonesia's most frequently visited marketplace in November 2023, had 427.2 million visits. Supported by the live streaming feature, Shopee has become the most widely used online shopping platform, with an 83.4% market share in 2022. Several factors, such as brand trust and promotions, have significantly influenced Shopee's dominance and consumer purchasing decisions. This research aims to investigate the effect of cosmetic product distribution, brand trust, and promotions on purchasing decisions, considering gender and age as control variables. Research design, data and methodology: A quantitative approach using a survey research method was employed with a sample of 150 respondents, who were followers of the Shopee ESQA Cosmetics account, obtained through the Yamane formula. Data was collected via an online questionnaire. The data analysis technique used in this study was PLS-SEM with Smart PLS software. The results of this research indicate a significant effect of the distribution of cosmetics products, brand trust, promotions, gender, and age as control variables on the purchase decision variable. Conclusions: The distribution of cosmetic products, brand trust and promotions have a positive and significant impact on purchase decisions during live streaming on Shopee, and control variables (gender and age 36-45) have a positive and significant influence on purchase decisions.

• Journal of Information Technology Applications and Management
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• v.30 no.5
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• pp.141-158
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• 2023

In the field of animation, as technology advances, production technology, production methods, and production culture are also steadily developing. The demand for content is increasing rapidly around the OTT platform, and the demand for animation content and diversity is increasing. With these market changes, animation creation ability is becoming a more important animation education goal. There is also a need to innovate educational methods to provide students with the skills and knowledge required in the modern animation business. This paper investigated the composition of the educational curriculum of domestic and foreign animation universities education. It examines artificial intelligence (AI) technology that can be used in animation creation and explores the design and direction of the university animation curriculum using it. AI technology has already proven its potential in various areas, and it is integrated into the animation curriculum to present various development potentials. Using AI technology, students can focus on practical and essential animation education by preventing technical difficulties in animation creation, increase their experience in animation production, and experiment with planning and producing various contents. It is proposed to design an educational curriculum that further strengthens animation creation and production capabilities by forming smart animation classes to foster talents who can lead the future animation industry in a new direction.

• International journal of advanced smart convergence
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• v.13 no.1
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• pp.140-151
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• 2024

This study explores an innovative advertising technique on Bilibili, where product links are embedded as bullet comments visible only to mobile app users. The research involved 140 participants, divided equally between followers and non-followers of a popular influencer, 'Gourmet WanggangR.' These groups were further split, with half viewing a video containing the product link on the app and the other half via PC. The study revealed that influencer attachment significantly increased viewer immersion (transportation) and positively influenced attitudes towards the content, which in turn elevated purchase intentions. Importantly, the influencer's followers showed a stronger attachment and more favorable attitudes towards the content, alongside a heightened likelihood to purchase the advertised product. The presence of the product link further accentuated these effects among the influencer's followers. Conversely, in the absence of the link, the correlation between influencer attachment and content attitude was less pronounced. These findings highlight the effectiveness of embedding product links in video content as a marketing strategy, particularly when targeting an influencer's followers through mobile platforms.

• International Journal of Computer Science & Network Security
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• v.24 no.7
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• pp.59-62
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• 2024

Non-fungible tokens (NFTs) are interchangeable rights to digital assets such as art, in-game items, collectibles or music, etc. NFTs have the potential to be infinitely useful in many industries by increasing security and processing costs for transactions and providing a new platform for the gigeconomy to work through. Its markets have grown fast and significantly since early 2021. We investigate the uses of NFTs and research the facts and figures on the usage of NFTs supporting websites. Using daily data between 2019 to 2021. NFTs took the world by storm in 2021, bringing forth a digital art revolution while becoming one of the fastest-growing asset classes of the year. While the NFTs market has been growing at a rapid pace, many are still wary of entering it because of the theoretical insanity around its worth. NFTs have been out there for quite some time and this trend doesn't plan to go any further. NFTs services have many practical use cases and their potential will only grow over time. While celebrities dive into this marketplace to maintain their onlinepresence andincrease their Net worth.

• Smart Structures and Systems
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• v.33 no.4
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• pp.263-279
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• 2024

With the increasing diversity of internet media, available video data have become more convenient and abundant. Related video data-based research has advanced rapidly in recent years owing to advantages such as noncontact, low-cost data acquisition, high spatial resolution, and simultaneity. Additionally, structural nonlinearity extraction has attracted increasing attention as a tool for damage evaluation. This review paper aims to summarize the research experience with the recent developments and applications of video data-based technology for structural nonlinearity extraction and damage evaluation. The most regularly used object detection images and video databases are first summarized, followed by suggestions for obtaining video data on structural nonlinear damage events. Technologies for linear and nonlinear system identification based on video data are then discussed. In addition, common nonlinear damage types in disaster events and prevalent processing algorithms are reviewed in the section on structural damage evaluation using video data uploaded on online platform. Finally, a discussion regarding some potential research directions is proposed to address the weaknesses of the current nonlinear extraction technology based on video data, such as the use of uni-dimensional time-series data as leverage to further achieve nonlinear extraction and the difficulty of real-time detection, including the fields of nonlinear extraction for spatial data, real-time detection, and visualization.