• Title/Summary/Keyword: Industry Convergence

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Characteristics of Bacteria-Originated Keratinase for Feather Waste Treatment (가금폐기물 처리를 위한 세균유래 케라틴 분해효소의 특성)

  • Go, Tae-Hun;Lee, Sang-Mee;Cho, Kwang-Sik;Lee, Ye-Ram;Park, Soo-Yun;Jang, Eun-Young;Jeong, Seong-Yun;Son, Hong-Joo
    • Journal of Environmental Science International
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    • v.23 no.6
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    • pp.1095-1100
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    • 2014
  • Keratin wastes are generated in excess of million tons per year worldwide and biodegradation of keratin by microorganisms possessing keratinase activity can be used as an alternative tool to prevent environmental pollution. For practical use of keratinase, its physicochemical properties should be investigated in detail. In this study, we investigated characteristics of keratinase produced by Xanthomonas sp. P5 which is isolated from rhizospheric soil of soybean. The level of keratinase produced by the strain P5 increased with time and reached its maximum (10.6 U/ml) at 3 days. The production of soluble protein had the same tendency as the production of keratinase. Optimal temperature and pH of keratinase were $40^{\circ}C-45^{\circ}C$ and pH 9, respectively. The enzyme showed broad temperature and pH stabilities. Thermostability profile showed that the enzyme retained 94.6%-100% of the original activity after 1 h treatment at $10^{\circ}C-40^{\circ}C$. After treatment for 1 h at pH 6-10, 89.2%-100% of the activity was remained. At pH 11, 71.6% of the original activity was retained after 1 h treatment. Although the strain P5 did not degrade human hair, it degraded duck feather and chicken feather. These results indicate that keratinase from Xanthomonas sp. P5 could be not only used to upgrade the nutritional value of feather hydrolysate but also useful in situ biodegradation of feather.

Lipolysis Effect of Daucosterol Isolated from Mulberry (Morus alba) Leaves (뽕잎으로부터 순수분리한 daucosterol의 lipolysis 효과)

  • Li, Ke;Lee, Mi Lim;Que, Lu;Li, Mae;Kang, Jum Soon;Choi, Yung Hyun;Kim, Kyung Mi;Jung, Jae-Chul;Hwang, Dae Youn;Choi, Young Whan
    • Journal of Life Science
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    • v.27 no.12
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    • pp.1500-1506
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    • 2017
  • Plants are reservoirs of naturally occurring chemical compounds and of structurally diverse bioactive molecules. The aim of this investigation was to screen for the presence of phytochemicals responsible for the lipolysis activity in mulberry (Morus alba) leaves, which are important in traditional Asian medicinal plants. Powdered mulberry leaves were extracted with hexane, ethyl acetate, and methanol. Daucosterol was isolated from the EtOAc extract of mulberry leaves, and its structure was elucidated by NMR spectral analyses. The NMR assignments for the compound were determined using $^1H$, $^{13}C$, DEPT, COSY, HSQC, and HMBC NMR spectral data. Daucosterol showed a concentration-dependent lipolysis activity that may impart medicinal properties that can be exploited by medical practitioners for the treatment of various diseases. However, further studies should be conducted to elucidate additional mechanisms of daucosterol.

A Study on the Improvement of 'Geospatial Information Open Platform' for Geospatial Information Convergence Industry

  • Song, Ki-Sung;Seok, Sang-Muk;Kwon, Hoe-Yun;Hwang, Jung-Rae
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.7
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    • pp.31-38
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    • 2016
  • In this paper, we propose a direction for improving 'Geospatial information open platform' service to support the converged and integrated geospatial information. Since there can be a number of issues relating to the support for geospatial information convergence industry, two qualitative surveys were performed to collect opinions comprehensively and specifically. The responses from 165 experts from 5 areas that use geospatial information were used, and the requirements of demanders were divided into the aspect of policy, aspect of data development and distribution, and aspect of data utilization support in order to effectively analyze the survey results. As a result, a total of 26 major issues were derived and it was deemed that it is necessary to find a way to expand the role of 'Geospatial information open platform' from "Open-API Oriented Passive Spatial Information Open Platform" to "Platform that Comprehensively Provides Active Convergence Support Information" order to resolve the issues derived.

Industry specialization and wireless convergence in Daejeon (대전의 산업특화와 무선통신융합)

  • Park, Jae-Sue;Park, Jung-Yong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.11
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    • pp.2739-2744
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    • 2015
  • Development of policy incentives and policy direction in the innovation economy is always important. Innovations policy have characterized industrial dynamics, leading to a transformation of the market structure of the specific industry. The paper explores the development of industry convergence for understanding the change of the wireless industry in Daejeon. Although its initial focus is R&D center, The business model has become the research and development of external demand than its own product research and development. For regional innovation, the wireless industry policy should be provided with their own product development pattern.

Research on the Strategic Use of AI and Big Data in the Food Industry to Drive Consumer Engagement and Market Growth

  • Taek Yong YOO;Seong-Soo CHA
    • The Korean Journal of Food & Health Convergence
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    • v.10 no.1
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    • pp.1-6
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    • 2024
  • Purpose: The research aims to address the intricacies of AI and Big Data application within the food industry. This study explores the strategic implementation of AI and Big Data in the food industry. The study seeks to understand how these technologies can be employed to bolster consumer engagement and contribute to market expansion, while considering ethical implications. Research Method: This research employs a comprehensive approach, analyzing current trends, case studies, and existing academic literature. It focuses on the application of AI and Big Data in areas such as supply chain management, consumer behavior analysis, and personalized marketing strategies. Results: The study finds that AI and Big Data significantly enhance market analytics, consumer personalization, and market trend prediction. It highlights the potential of these technologies in creating more efficient supply chains, improving consumer satisfaction through personalization, and providing valuable market insights. Conclusion and Implications: The paper offers actionable insights and recommendations for the effective implementation of AI and Big Data strategies in the food industry. It emphasizes the need for ethical considerations, particularly in data privacy and the transparency of AI algorithms. The study also explores future trends, suggesting that AI and Big Data will continue to revolutionize the industry, emphasizing sustainability, efficiency, and consumer-centric practices.

Korea's 6th industrial case and competitiveness plan through Japan and China

  • Park, Sang youn;Kim, Hyun Jun;Song, Duk-young;Park, Hyoung ho
    • International Journal of Advanced Culture Technology
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    • v.6 no.2
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    • pp.36-42
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    • 2018
  • The types of sixth industry to aim of boosting agriculture and rural areas and Korea's sixth industrial cases(Local community, production-centric, distribution-centric, dine out-centric, treatment-centric, export-centric) and competitiveness measures through Japan and China. Specifically, the competitiveness through the sixth industrial case is to maximize added value through cooperation between communities and to coexist among local residents. Efforts are needed not only to create jobs for the elderly but also to gain consumer confidence, and various measures should be sought to establish a cooperative system. In addition, as customers ' needs change rapidly in the smart age, the life cycle of goods and services is getting extremely faster. Therefore, the sixth industry is expected to be able to predict changes in customer and market trends quickly and accurately, thus making efforts to bring new products and services to market more necessary and contributing to achieving rural activation.

Detection of Landmark Spots for Spot Matching in 2DGE (2차원 전기영동 영상의 스팟 정합을 위한 Landmark 스팟쌍의 검출)

  • Han, Chan-Myeong;Suk, Soo-Young;Yoon, Young-Woo
    • Journal of the Korean Society of Industry Convergence
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    • v.14 no.3
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    • pp.105-111
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    • 2011
  • Landmark Spots in 2D gel electrophoresis are used in many methods of 2DEG spot matching. Landmark Spots are obtained manually and it is a bottle neck in the entire protein analysis process. Automated landmark spots detection is a very crucial topic in processing a massive amount of 2DGE data. In this paper, Automated landmark spot detection is proposed using point pattern matching and graph theory. Neighbor spots are defined by a graph theory to use and only a centered spot and its neighbor spots are considered for spot matching. Normalized Hausdorff distance is introduced as a criterion for measuring degree of similarity. In the conclusion, the method proposed in this paper can get about 50% of the total spot pairs and the accuracy rate is almost 100%, which the requirements of landmark spots are fully satisfied.

Suggested social media big data consulting chatbot service for restaurant start-ups

  • Jong-Hyun Park;Jun-Ho Park;Ki-Hwan Ryu
    • International journal of advanced smart convergence
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    • v.12 no.3
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    • pp.68-74
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    • 2023
  • The food industry has been hit hard since the first outbreak of COVID-19 in 2019. However, as of April 2022, social distancing has been resolved and the restaurant industry has gradually recovered, interest in restaurant start-ups is increasing. Therefore, in this paper, 'restaurant start-up' was cited as a key keyword through social media big data analysis using TexTom, and word frequency and cone analysis were conducted for big data analysis. The keyword collection period was selected from May 1, 2022, when social distancing due to COVID-19 was lifted, to May 23, 2023, and based on this, a plan to develop chatbot services for restaurant start-ups was proposed. This paper was prepared in consideration of what to consider when starting a restaurant and a chatbot service that allows prospective restaurant founders to receive information more conveniently. Based on these analysis results, we expected to contribute to the process of developing chatbots for prospective restaurant founders in the future

Priority Analysis of Information Security Policy in the ICT Convergence Industry in South Korea Using Cross-Impact Analysis (교차영향분석을 이용한 국내 ICT 융합산업의 정보보호정책 우선순위 분석)

  • Lee, Dong-Hee;Jun, Hyo-Jung;Kim, Tae-Sung
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.28 no.3
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    • pp.695-706
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    • 2018
  • In recent years, industrial convergence centered on ICBM (internet of things (IoT), cloud, big data, mobile) has been experiencing rapid development in various fields such as agriculture and the financial industry. In order to prepare for cyber threats, one of the biggest problems facing the convergence industry in the future, the development of the industry must proceed in tandem with a framework of information security. In this study, we analyze the details of the current industrial development policy and related information protection policies using cross impact analysis and present policy priorities through the expert questionnaire. The aim of the study was to clarify the priorities and interrelationships within information security policy as a first step in suggesting effective policy direction. As a result, all six information security policy tasks derived from this study belong to key drivers. Considering the importance of policies, policies such as improving the constitution of the security industry and strengthening of support, training of information protection talent, and investing in the information security industry need to be implemented relatively first.

Effects of Emotional/Primal Leadership on Job Satisfaction and Organizational Commitment through Mediating Role of Organizational Culture in the Food Service Industry (외식서비스산업에서 조직문화의 매개역할을 통한 감성리더십이 직무만족도와 조직몰입에 미치는 영향)

  • Kang, Kyu-Chul;Oh, Young-ho
    • Journal of the Korea Convergence Society
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    • v.8 no.7
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    • pp.245-251
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    • 2017
  • The environment of the food service industry is becoming increasingly complicated and unpredictable as modernization and industrialization become more and more common. Moreover, the development of the food service industry is rapidly changing due to the convergence of the inter-industry services. In this study, based on the high reliance on the human resources of the food service industry, it investigates relations of each component as integrated view through leadership, organizational performance, and organizational culture. In particular, the relationship between emotional/primal leadership and organizational performance(as job satisfaction and organizational commitment) was verified through mediating effects of organizational culture. The results of this study will provide an integrated perspective on the understanding and development of the food service industry structure, which requires the importance of human relations, and will help convergent thinking among various service industries.