• Title/Summary/Keyword: 잠재 산업

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Estimating the Investment Value of Fuel Cell Power Plant Under Dual Price Uncertainties Based on Real Options Methodology (이중 가격 불확실성하에서 실물옵션 모형기반 연료전지 발전소 경제적 가치 분석)

  • Sunho Kim;Wooyoung Jeon
    • Environmental and Resource Economics Review
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    • v.31 no.4
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    • pp.645-668
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    • 2022
  • Hydrogen energy is emerging as an important means of carbon neutrality in the various sectors including power, transportation, storage, and industrial processes. Fuel cell power plants are the fastest spreading in the hydrogen ecosystem and are one of the key power sources among means of implementing carbon neutrality in 2050. However, high volatility in system marginal price (SMP) and renewable energy certificate (REC) prices, which affect the profits of fuel cell power plants, delay the investment timing and deployment. This study applied the real option methodology to analyze how the dual uncertainties in both SMP and REC prices affect the investment trigger price level in the irreversible investment decision of fuel cell power plants. The analysis is summarized into the following three. First, under the current Renewable Portfolio Standard (RPS), dual price uncertainties passed on to plant owners has significantly increased the investment trigger price relative to one under the deterministic price case. Second, reducing the volatility of REC price by half of the current level caused a significant drop in investment trigger prices and its investment trigger price is similar to one caused by offering one additional REC multiplier. Third, investment trigger price based on gray hydrogen and green hydrogen were analyzed along with the existing byproduct hydrogen-based fuel cells, and in the case of gray hydrogen, economic feasibility were narrowed significantly with green hydrogen when carbon costs were applied. The results of this study suggest that the current RPS system works as an obstacle to the deployment of fuel cell power plants, and policy that provides more stable revenue to plants is needed to build a more cost-effective and stable hydrogen ecosystem.

The Influences of Impulsivity, Family' Gambling Activity and the Distance from Adolescence's home to the Gambling Facilities Area on adolescents' gambling activity, gambling belief and gambling motivation in the future (청소년의 충동성, 가족도박수준 및 거주지역이 청소년의 도박행동, 도박신념 및 미래의 도박동기에 미치는 영향)

  • Mi Young Yeon
    • Korean Journal of Culture and Social Issue
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    • v.12 no.1
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    • pp.1-14
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    • 2006
  • The purpose of this study was to investigate the influences of impulsivity, family' gambling and the distance from the gambling facilities, on adolescents' gambling activity, gambling belief and gambling motivation in the future. A total of 567 high school students in Jeongseon and Taeback(the Kangwon-Land Casino area or near the Kangwon-Land Casino), in Gwhachoen City(near the Seoul Race Park), and in Whachoen(far from the gambling facilities area) were participated in this study, and completed the questionnaires for measuring adolescents' gambling activity, gambling belief and gambling motivation in the future, impulsivity and family gambling behaviors. Results showed there were positive relationships impulsivity, family' gambling, adolescents' gambling activity, gambling belief and gambling motivation in the future. There were significant relationships among dwelling areas, gambling behaviors, and beliefs. Especially, adolescents in Jeongseon have more likely gambling behaviors, and the gambling beliefs were more dysfunction than ones in Gwhachoen and Whachoen. And adolescents in Whachoen had the lowest gambling motivation. Also, the correlation between the impulsivity and gambling-related behaviors was significant. The implication of this study was as fellow. When planing the politic intervention for preventing the problem gambling in the future it was necessary to consider the distance from the gambling facilities as environmental component and impulsivity as personal component.

Development of Functional Halogenated Phenylpyrrole Derivatives (기능성 할로겐화 페닐피롤 )

  • Min-Hee Jung;Hee Jeong Kong;Young-Ok Kim;Jin-Ho Lee
    • Journal of Life Science
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    • v.33 no.10
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    • pp.842-850
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    • 2023
  • Pyrrolnitrin, pyrrolomycin, and pyoluteorin are functional halogenated phenylpyrrole derivatives (HPDs) derived from microorganisms with diverse antimicrobial activities. Pyrrolnitrin is a secondary metabolite produced from L-tryptophan through four-step reactions in Pseudomonas fluorescens, Burkholderia cepacia, Serratia plymuthica, etc. It is currently used for the treatment of superficial dermatophytic fungal infections, has high antagonistic activities against soil-borne and foliar fungal infections, and has many industrial applications. Since pyrrolnitrin is easily decomposed by light, it is difficult to widely use it outdoors. As an alternative, fludioxonil, a synthetically produced non-systemic surface fungicide that is structurally similar and has excellent light stability, has been commercialized for seed and foliar treatment of plants. However, due to its high toxicity to aquatic organisms and adverse effects in human cell lines, many countries have established maximum residue levels and strictly control its levels. Pyrrolomycin and pyoluteorin, which have antibiotic/antibiofilm activity against Gram-positive bacteria and high anti-oomycete activity against the plant pathogen Pythium ultimum, respectively, were isolated and identified from microorganisms. This review summarizes the biosynthesis and production of natural pyrrolnitrin derived from bacteria and the characteristics of synthetic fludioxonil and other natural phenylpyrrole derivatives among the HPDs. We expect that a plethora of highly effective, novel HPDs that are safe for humans and environments will be developed through the generation of an HPD library by microbial biosynthesis and chemical synthesis.

Development of Metrics to Measure Reusability Quality of AIaaS

  • Eun-Sook Cho
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.12
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    • pp.147-153
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    • 2023
  • As it spreads to all industries of artificial intelligence technology, AIaaS equipped with artificial intelligence services is emerging. In particular, non-IT companies are suffering from the absence of software experts, difficulties in training big data models, and difficulties in collecting and analyzing various types of data. AIaaS makes it easier and more economical for users to build a system by providing various IT resources necessary for artificial intelligence software development as well as functions necessary for artificial intelligence software in the form of a service. Therefore, the supply and demand for such cloud-based AIaaS services will increase rapidly. However, the quality of services provided by AIaaS becomes an important factor in what is required as the supply and demand for AIaaS increases. However, research on a comprehensive and practical quality evaluation metric to measure this is currently insufficient. Therefore, in this paper, we develop and propose a usability, replacement, scalability, and publicity metric, which are the four metrics necessary for measuring reusability, based on implementation, convenience, efficiency, and accessibility, which are characteristics of AIaaS, for reusability evaluation among the service quality measurement factors of AIaaS. The proposed metrics can be used as a tool to predict how much services provided by AIaaS can be reused for potential users in the future.

The Effect of CEO Experiential Attributes and Slack Resource on the Selection of Strategic Alliance Type (벤처기업 최고 경영자 경험 특성과 여유자원이 전략적 제휴 유형 선택에 미치는 영향)

  • Han, Sangyun
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.17 no.1
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    • pp.45-61
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    • 2022
  • Despite of the consensus on the critical role of CEO and slack resources for strategic decision making, how they affect in the selection of strategic alliance type is limited. This study investigated the effect of CEO's experiential attributes and the venture firms' slack resource on the selection of strategic alliance type. To this end, this study used multi-variate logistic regression analysis with 1,813 Korean venture firms. The findings indicated that higher education level and large firm experience of CEO positively contributed to form an explorative alliance. And these two experiential attributes has negative effects on the probability of exploitative alliance formation. On the other hand, the entrepreneurial experience has no effect on the selection of strategic alliance type. This study also investigated the effect of slack resource - available slack, recoverable slack, and potential slack-. The more venture firms have available and potential slack, the higher probability of pursuing an explorative alliance. In addition, recoverable slack of venture firms has negative effect only on the selection of explorative alliance. The results of this study are expected to contribute the literatures of strategic management and venture firms by illustrating which CEO and firm-level factors affect the selection of strategic alliance type. This study also extends recent effort to better understand the selection of strategic alliance type with upper echelons theory and slack resource. And this study suggests implications that can increase the probability of successful decision making by venture firms in selection of strategic alliance type.

Analysis of Users' Sentiments and Needs for ChatGPT through Social Media on Reddit (Reddit 소셜미디어를 활용한 ChatGPT에 대한 사용자의 감정 및 요구 분석)

  • Hye-In Na;Byeong-Hee Lee
    • Journal of Internet Computing and Services
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    • v.25 no.2
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    • pp.79-92
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    • 2024
  • ChatGPT, as a representative chatbot leveraging generative artificial intelligence technology, is used valuable not only in scientific and technological domains but also across diverse sectors such as society, economy, industry, and culture. This study conducts an explorative analysis of user sentiments and needs for ChatGPT by examining global social media discourse on Reddit. We collected 10,796 comments on Reddit from December 2022 to August 2023 and then employed keyword analysis, sentiment analysis, and need-mining-based topic modeling to derive insights. The analysis reveals several key findings. The most frequently mentioned term in ChatGPT-related comments is "time," indicative of users' emphasis on prompt responses, time efficiency, and enhanced productivity. Users express sentiments of trust and anticipation in ChatGPT, yet simultaneously articulate concerns and frustrations regarding its societal impact, including fears and anger. In addition, the topic modeling analysis identifies 14 topics, shedding light on potential user needs. Notably, users exhibit a keen interest in the educational applications of ChatGPT and its societal implications. Moreover, our investigation uncovers various user-driven topics related to ChatGPT, encompassing language models, jobs, information retrieval, healthcare applications, services, gaming, regulations, energy, and ethical concerns. In conclusion, this analysis provides insights into user perspectives, emphasizing the significance of understanding and addressing user needs. The identified application directions offer valuable guidance for enhancing existing products and services or planning the development of new service platforms.

Problem Identification and Improvement Measures through Government24 App User Review Analysis: Insights through Topic Model (정부24 앱 사용자 리뷰 분석을 통한 문제 파악 및 개선방안: 토픽 모델을 통한 통찰)

  • MuMoungCho Han;Mijin Noh;YangSok Kim
    • Smart Media Journal
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    • v.12 no.11
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    • pp.27-35
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    • 2023
  • Fourth Industrial Revolution and COVID-19 pandemic have boosted the use of Government 24 app for public service complaints in the era of non-face-to-face interactions. there has been a growing influx of complaints and improvement demands from users of public apps. Furthermore, systematic management of public apps is deemed necessary. The aim of this study is to analyze the grievances of Government 24 app users, understand the current dissatisfaction among citizens, and propose potential improvements. Data were collected from the Google Play Store from May 2, 2013, to June 30, 2023, comprising a total of 6,344 records. Among these, 1,199 records with a rating of 1 and at least one 'thumbs-up' were used for topic modeling analysis. The analysis revealed seven topics: 'Issues with certificate issuance,' 'Website functionality and UI problems,' 'User ID-related issues,' 'Update problems,' 'Government employee app management issues,' 'Budget wastage concerns ((It's not worth even a single star) or (It's a waste of taxpayers' money)),' and 'Password-related problems.' Furthermore, the overall trend of these topics showed an increase until 2021, a slight decrease in 2022, but a resurgence in 2023, underscoring the urgency of updates and management. We hope that the results of this study will contribute to the development and management of public apps that satisfy citizens in the future.

Intelligent Transportation System (ITS) research optimized for autonomous driving using edge computing (엣지 컴퓨팅을 이용하여 자율주행에 최적화된 지능형 교통 시스템 연구(ITS))

  • Sunghyuck Hong
    • Advanced Industrial SCIence
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    • v.3 no.1
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    • pp.23-29
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    • 2024
  • In this scholarly investigation, the focus is placed on the transformative potential of edge computing in enhancing Intelligent Transportation Systems (ITS) for the facilitation of autonomous driving. The intrinsic capability of edge computing to process voluminous datasets locally and in a real-time manner is identified as paramount in meeting the exigent requirements of autonomous vehicles, encompassing expedited decision-making processes and the bolstering of safety protocols. This inquiry delves into the synergy between edge computing and extant ITS infrastructures, elucidating the manner in which localized data processing can substantially diminish latency, thereby augmenting the responsiveness of autonomous vehicles. Further, the study scrutinizes the deployment of edge servers, an array of sensors, and Vehicle-to-Everything (V2X) communication technologies, positing these elements as constituents of a robust framework designed to support instantaneous traffic management, collision avoidance mechanisms, and the dynamic optimization of vehicular routes. Moreover, this research addresses the principal challenges encountered in the incorporation of edge computing within ITS, including issues related to security, the integration of data, and the scalability of systems. It proffers insights into viable solutions and delineates directions for future scholarly inquiry.

How to build an AI Safety Management Chatbot Service based on IoT Construction Health Monitoring (IoT 건축시공 건전성 모니터링 기반 AI 안전관리 챗봇서비스 구축방안)

  • Hwi Jin Kang;Sung Jo Choi;Sang Jun Han;Jae Hyun Kim;Seung Ho Lee
    • Journal of the Society of Disaster Information
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    • v.20 no.1
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    • pp.106-116
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    • 2024
  • Purpose: This paper conducts IoT and CCTV-based safety monitoring to analyze accidents and potential risks occurring at construction sites, and detect and analyze risks such as falls and collisions or abnormalities and to establish a system for early warning using devices like a walkie-talkie and chatbot service. Method: A safety management service model is presented through smart construction technology case studies at the construction site and review a relevant literature analysis. Result: According to 'Construction Accident Statistics,' in 2021, there were 26,888 casualties in the construction industry, accounting for 26.3% of all reported accidents. Fatalities in construction-related accidents amounted to 417 individuals, representing 50.5% of all industrial accident-related deaths. This study suggests implementing AI chatbot services for construction site safety management utilizing IoT-based health monitoring technologies in smart construction practices. Construction sites where stakeholders such as workers participate were demonstrated by implementing an artificial intelligence chatbot system by selecting major risk areas within the workplace, such as scaffolding processes, openings, and access to hazardous machinery. Conclusion: The possibility of commercialization was confirmed by receiving more than 90 points in the satisfaction survey of participating workers regarding the empirical results of the artificial intelligence chatbot service at construction sites.

Current Status and Management of Nanoplastics Exposed in Environment (환경 중 노출되는 나노플라스틱의 현황 및 관리실태)

  • Ha-neul Park;Jeonggue Park;Younghun Kim
    • Clean Technology
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    • v.30 no.1
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    • pp.1-12
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    • 2024
  • Nanoplastics (NP) exhibit distinct material properties compared to microplastics (MP), necessitating their separate recognition. Review of research outcomes and policy documents on NP reveals that most policy frameworks predominantly define MPs as solid synthetic polymer materials measuring 5 mm or less, but do not distinguish them from NP. However, recent revisions in regulations by the EU classify NPs as particles that range in size from 1 to 1,000 nm, as confirmed by some academic studies. Research on NPs often relies on experimental investigations centered around water systems, with a focus on high-concentration experimental conditions using spherical polystyrene-based NPs in behavior and impact studies. Notably, the environmental behavior characteristics of NP show differences in influence depending on the NP type, emphasizing the need for field simulation research. These challenges are mirrored in Korean society, so it is necessary to redefine NP to be distinct from MP in both research and policy. This study aimed to assess the current state of NP management globally and domestically and highlight policy considerations and issues in the existing response to NP. Upon comprehensive review, it becomes apparent that reaching an international agreement on MP faces methodological limitations, which could potentially burden efforts to precisely define NP size. Therefore, referencing the EU's recent regulatory revisions is crucial in domestic policy. Specific adjustments should commence from the MP concept through insights from the domestic industry, guidance from the academic community, and thorough discussions to ensure social acceptance.