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An Exploratory Study of Generative AI Service Quality using LDA Topic Modeling and Comparison with Existing Dimensions (LDA토픽 모델링을 활용한 생성형 AI 챗봇의 탐색적 연구 : 기존 AI 챗봇 서비스 품질 요인과의 비교)

  • YaeEun Ahn;Jungsuk Oh
    • Journal of Service Research and Studies
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    • v.13 no.4
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    • pp.191-205
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    • 2023
  • Artificial Intelligence (AI), especially in the domain of text-generative services, has witnessed a significant surge, with forecasts indicating the AI-as-a-Service (AIaaS) market reaching a valuation of $55.0 Billion by 2028. This research set out to explore the quality dimensions characterizing synthetic text media software, with a focus on four key players in the industry: ChatGPT, Writesonic, Jasper, and Anyword. Drawing from a comprehensive dataset of over 4,000 reviews sourced from a software evaluation platform, the study employed the Latent Dirichlet Allocation (LDA) topic modeling technique using the Gensim library. This process resulted the data into 11 distinct topics. Subsequent analysis involved comparing these topics against established AI service quality dimensions, specifically AICSQ and AISAQUAL. Notably, the reviews predominantly emphasized dimensions like availability and efficiency, while others, such as anthropomorphism, which have been underscored in prior literature, were absent. This observation is attributed to the inherent nature of the reviews of AI services examined, which lean more towards semantic understanding rather than direct user interaction. The study acknowledges inherent limitations, mainly potential biases stemming from the singular review source and the specific nature of the reviewer demographic. Possible future research includes gauging the real-world implications of these quality dimensions on user satisfaction and to discuss deeper into how individual dimensions might impact overall ratings.

Comparative Study of Institutional Approaches to Children's Playgrounds for Ensuring the Right to Play (놀이권 보장 측면에서 본 국내외 어린이놀이터 관련 법제 비교 연구)

  • Song, Yun-Jeong;Lee, Sang-Min;Kang, Hyunmi;Kim, Suin
    • Journal of the Korean Institute of Landscape Architecture
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    • v.51 no.6
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    • pp.33-45
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    • 2023
  • The importance of play from a Children's Rights perspective has been continuously emphasized, and the need for play facilities and spaces has been reiterated. Meanwhile, in South Korea, despite the continuous increase in the number of play facilities, efforts to improve children's play spaces are required. Therefore, this study reevaluated the current regulations and policies concerning play and play spaces from the perspective of securing the right to play. An analysis of the legal concept of domestic playgrounds, related laws, construction standards, and regulations was conducted. The systems and characteristics of the related regulations in the UK, Canada, and Germany were analyzed. Based on the results of the comparative analysis, our directions for improving the system of playgrounds to ensure the children's right to play were proposed. First, a legal definition of the concept and scope of playgrounds should be established. Second, beyond safety-focused facility regulations, there is a need for institutional enhancements to ensure the right to play. Third, comprehensive management of playgrounds is required as a spatial concept rather than as individual facilities. Fourth, qualitative management is needed through specific guidelines and guidelines related to the establishment of playgrounds. These results can serve as a basis for establishing systems and promoting policy projects to ensure children's right to play in various fields, including urban planning, child welfare, and education in the future.

A Study on Monitoring and Management of Invasive Alien Species Applied by Citizen Science in the Wetland Protected Areas(Inland Wetland) (시민과학을 활용한 습지보호지역의 생태계교란 식물 모니터링 및 관리방안 연구)

  • Inae Yeo;Kwangjin Cho
    • Journal of Environmental Impact Assessment
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    • v.32 no.5
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    • pp.305-317
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    • 2023
  • This study suggested a citizen science based model to enhance the efficacy of the managing invasive alien plants and examined whose applicability in 3 Wetland Protected Areas (Jangrok of Gwangju metropolitan city, Madongho of Goseong in South Gyeongsang Province, and Ungok of Gochang in North Jeolla Province). The process consists of (a) collecting citizen scientist including local residents of 3 protected areas and piling up information on the 4 species of invasive alien plants (Sicyos angulatus L., Solanum carolinense L., Ambrosia artemisiifolia L. and Solidago altissima L) in a information platform Ecological Information Bank (EcoBank) from September 18th to October 31th, (b) constructing distribution map containing the location and density (3 phases: individual-population-community) of target plants, (c) providing distribution map to Environment Agency and local government who is principal agent of managing invasive alien plants in 3 protected areas, and from whom (d) surveying applications of the distribution map and opinion for future supplement. As a result, citizen science based monitoring should be continued to complement the nationwide information for the field management of invasive alien plants with the expansion of target species (total 17 plants species that Ministry of Environment in South Korea designated) and period of monitoring in a year to increase the usability of surveyed information from citizen science. In the long run, effectiveness of the management of invasive alien species applied by citizen science should be reviewed including efficacy of field management process from citizen's participating in elimination project of invasive alien plants and time series distribution followed by the management of the species.

An analysis methodology for the power generation of a solar power plant considering weather, location, and installation conditions (입지 및 설치방식에 따른 태양광 발전량 분석 방법에 관한 연구)

  • Byoung Noh Heo;Jae Hyun Lee
    • Journal of Korea Society of Industrial Information Systems
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    • v.28 no.6
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    • pp.91-98
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    • 2023
  • The amount of power generation of a solar plant has a high correlation with weather conditions, geographical conditions, and the installation conditions of solar panels. Previous studies have found the elements which impacts the amount of power generation. Some of them found the optimal conditions for solar panels to generate the maximum amount of power. Considering the realistic constraints when installing a solar power plant, it is very difficult to satisfy the conditions for the maximum power generation. Therefore, it is necessary to know how sensitive the solar power generation amount is to factors affecting the power generation amount, so that plant owners can predict the amount of solar power generation when examining the installation of a solar power plant. In this study, we propose a polynomial regression analysis method to analyze the relationship between solar power plant's power generation and related factors such as weather, location, and installation conditions. Analysis data were collected from 10 solar power plants installed and operated in Daegu and Gyeongbuk. As a result of the analysis, it was found that the amount of power generation was affected by panel type, amount of insolation and shade. In addition, the power generation was affected by interaction of the installation angle and direction of the panel.

Detecting Common Weakness Enumeration(CWE) Based on the Transfer Learning of CodeBERT Model (CodeBERT 모델의 전이 학습 기반 코드 공통 취약점 탐색)

  • Chansol Park;So Young Moon;R. Young Chul Kim
    • KIPS Transactions on Software and Data Engineering
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    • v.12 no.10
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    • pp.431-436
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    • 2023
  • Recently the incorporation of artificial intelligence approaches in the field of software engineering has been one of the big topics. In the world, there are actively studying in two directions: 1) software engineering for artificial intelligence and 2) artificial intelligence for software engineering. We attempt to apply artificial intelligence to software engineering to identify and refactor bad code module areas. To learn the patterns of bad code elements well, we must have many datasets with bad code elements labeled correctly for artificial intelligence in this task. The current problems have insufficient datasets for learning and can not guarantee the accuracy of the datasets that we collected. To solve this problem, when collecting code data, bad code data is collected only for code module areas with high-complexity, not the entire code. We propose a method for exploring common weakness enumeration by learning the collected dataset based on transfer learning of the CodeBERT model. The CodeBERT model learns the corresponding dataset more about common weakness patterns in code. With this approach, we expect to identify common weakness patterns more accurately better than one in traditional software engineering.

A Study on the Revitalization of Digital Contents Industry (디지털콘텐츠 산업육성 사업 구조개편 방안 연구)

  • Jin-Hyeon Chang
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.5
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    • pp.159-167
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    • 2023
  • Due to the convergence of digital technology and the rapidly changing characteristics of the digital industry, the development projects in each technology field that have been carried out so far have blurred the boundaries of the business, dispersed business effects, and reached the limit in fostering a flexible industry that accommodates technological development. It appears that Therefore, the goal is to support the policy of the digital content development project by suggesting a plan to reorganize the structure and improve the management system of the digital content industry development project to effectively respond to the changing direction of the future digital content industry. Through structural analysis and diagnosis of government supported projects, it was proposed to reorganize the existing 19 key projects and 49 detailed projects into 7 key projects projects and 17 detailed projects. As a plan to improve the project management system, there are too many project implementation agencies and the absence of a general agency for detailed project support management, which limits the promotion of large-scale projects for organic linkage between projects and market creation. To improve this, a general agency that oversees the project management function was selected, and it was suggested that there was a need to unify project management into a general organization to manage the project efficiently.

Comparative Analysis of Low Fertility Response Policies (Focusing on Unstructured Data on Parental Leave and Child Allowance) (저출산 대응 정책 비교분석 (육아휴직과 아동수당의 비정형 데이터 중심으로))

  • Eun-Young Keum;Do-Hee Kim
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.5
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    • pp.769-778
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    • 2023
  • This study compared and analyzed parental leave and child allowance, two major policies among solutions to the current serious low fertility rate problem, using unstructured data, and sought future directions and implications for related response policies based on this. The collection keywords were "low fertility + parental leave" and "low fertility + child allowance", and data analysis was conducted in the following order: text frequency analysis, centrality analysis, network visualization, and CONCOR analysis. As a result of the analysis, first, parental leave was found to be a realistic and practical policy in response to low fertility rates, as data analysis showed more diverse and systematic discussions than child allowance. Second, in terms of child allowance, data analysis showed that there was a high level of information and interest in the cash grant benefit system, including child allowance, but there were no other unique features or active discussions. As a future improvement plan, both policies need to utilize the existing system. First, parental leave requires improvement in the working environment and blind spots in order to expand the system, and second, child allowance requires a change in the form of payment that deviates from the uniform and biased system. should be sought, and it was proposed to expand the target age.

A Study on the Expansion of Stage Costumes in the Contemporary Ballet Play <'That' Girl> (창작 발레극 <'그' 소녀> 에 나타난 무대의상의 확장성 연구)

  • Jinyoung Ryu;Sojung Chang
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.5
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    • pp.779-785
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    • 2023
  • In the creation of non-verbal dance performance, stage costumes are an important element of visual expression and serve an expanded role in addition to its fundamental decorativeness, representation of status reflective of the historical setting of the act and functionality for the dance movement. We intends that the purpose of this research is to analyze the expanded role of the costumes in the creative ballet <'That' Girl>, and through this exercise, provide foundational data on and suggest new future directions for stage costume design. <'That' Girl> is composed of two acts, offering condolences and eliciting empathy by conveying the fear experienced by the victims of the time. The second dance act representing freedom and "Haan" requires this expanded application of costume design. The costume design was inspired by the "Statue of Peace" representing comfort women, and completed through three draft designs and material experiments testing the ease of operation of the strings and fabrics installed in the costumes as well as the functionality of the associated ballet movements. In conclusion, expansion of time & space, expansion of form and expansion of symbolic expression were shown in the dance of liberation using strings wrapped around the arms and through the cloth embodying 'Haan' hidden in front of the costume.

Optimization of Uneven Margin SVM to Solve Class Imbalance in Bankruptcy Prediction (비대칭 마진 SVM 최적화 모델을 이용한 기업부실 예측모형의 범주 불균형 문제 해결)

  • Sung Yim Jo;Myoung Jong Kim
    • Information Systems Review
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    • v.24 no.4
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    • pp.23-40
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    • 2022
  • Although Support Vector Machine(SVM) has been used in various fields such as bankruptcy prediction model, the hyperplane learned by SVM in class imbalance problem can be severely skewed toward minority class and has a negative impact on performance because the area of majority class is expanded while the area of minority class is invaded. This study proposed optimized uneven margin SVM(OPT-UMSVM) combining threshold moving or post scaling method with UMSVM to cope with the limitation of the traditional even margin SVM(EMSVM) in class imbalance problem. OPT-UMSVM readjusted the skewed hyperplane to the majority class and had better generation ability than EMSVM improving the sensitivity of minority class and calculating the optimized performance. To validate OPT-UMSVM, 10-fold cross validations were performed on five sub-datasets with different imbalance ratio values. Empirical results showed two main findings. First, UMSVM had a weak effect on improving the performance of EMSVM in balanced datasets, but it greatly outperformed EMSVM in severely imbalanced datasets. Second, compared to EMSVM and conventional UMSVM, OPT-UMSVM had better performance in both balanced and imbalanced datasets and showed a significant difference performance especially in severely imbalanced datasets.

Micropatterning of Polyimide and Liquid Crystal Elastomer Bilayer for Smart Actuator (스마트 액추에이터를 위한 폴리이미드 및 액정 엘라스토머 이중층의 미세패터닝)

  • Yerin Sung;Hyun Seung Choi;Wonseong Song;Vanessa;Yuri Kim;Yeonhae Ryu;Youngjin Kim;Jaemin Im;Dae Seok Kim;Hyun Ho Choi
    • Journal of Adhesion and Interface
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    • v.25 no.1
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    • pp.169-274
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    • 2024
  • Recent attention has been drawn to materials that undergo reversible expansion and contraction in response to external stimuli, leading to morphological changes. These materials hold potential applications in various fields including soft robotics, sensors, and artificial muscles. In this study, a novel material capable of responding to high temperatures for protection or encapsulation is proposed. To achieve this, liquid crystal elastomer (LCE) with nematic-isotropic transition properties and polyimide (PI) with high mechanical strength and thermal stability were utilized. To utilize a solution process, a dope solution was synthesized and introduced into micro-printing techniques to develop a two-dimensional pattern of LCE/PI bilayer structures with sub-millimeter widths. The honeycomb-patterned LCE/PI bilayer mesh combined the mechanical strength of PI with the high-temperature contraction behavior of LCE, and selective printing of LCE facilitated deformation in desired directions at high temperatures. Consequently, the functionality of selectively and reversibly encapsulating specific high-temperature materials was achieved. This study suggests potential applications in various actuator fields where functionalities can be implemented across different temperature ranges without the need for electrical energy input, contingent upon molecular changes in LCE.