• 한국환경과학회지
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• 제23권6호
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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.

• 생명과학회지
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• 제27권12호
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• pp.1500-1506
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• 2017

뽕나무는 약 40여 속과 1,000여 종이 있는 것으로 알려져 있으며, 항염증, 항진정, 지사작용, 노화억제 및 신경보호작용이 있는 것으로 알려져 있다. 본 연구에서는 아시아 지역에서 전통 한약재로 사용되는 뽕 나무 잎의 지방분해 활성에 관여하고 있는 물질을 스크린하기 위하여 뽕잎 분말을 헥산, 에틸 아세테이트 및 메탄올로 순차 추출하였다. 뽕 잎의 EtOAc 추출물로부터 daucosterol이 순수분리 되었으며, 그 구조는 $^1H$, $^{13}C$, DEPT, COSY, HSQC 및 HMBC 등의 NMR스펙트럼 분석에 의해 밝혀졌다. Daucosterol은 농도 의존적으로 지질분해 효과를 나타내었는데, 본 연구의 결과로부터 뽕나무 잎으로부터 순수분리한 daucosterol의 지분분해 활성은 다양한 질병을 치료하기 위한 천연물 소재 또는 지표성분으로서 활용이 가능할 것으로 생각된다. 그러나 보다 효율적으로 이용하기 위해서는 daucosterol의 비만에 관한 생리활성 기작에 대한 추가적인 연구가 필요할 것이다.

• 한국컴퓨터정보학회논문지
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• 제21권7호
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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.

• 한국정보통신학회논문지
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• 제19권11호
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• pp.2739-2744
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• 2015

혁신적인 경제에서 정책 인센티브와 정책방향의 개발은 항상 중요하다. 혁신정책은 특화산업의 시장구조를 선도하면서 산업의 역동성을 결정하기 때문이다. 본 연구는 대전지역의 무선통신산업의 변화를 이해하기 위해 산업융합의 발전을 탐색한다. 초기의 관심은 기업자체의 R&D센터였지만, 비즈니스 모델은 자체적인 상품의 연구개발보다 외부 수요에 대응하는 연구개발이 대부분이었다. 지역혁신을 위해서, 무선통신융합산업의 정책은 자체 제품개발패턴이 되어야 한다.

• 식품보건융합연구
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• 제10권1호
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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.

• International Journal of Advanced Culture Technology
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• 제6권2호
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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.

• 한국산업융합학회 논문집
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• 제14권3호
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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.

• International journal of advanced smart convergence
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• 제12권3호
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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

• 정보보호학회논문지
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• 제28권3호
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• pp.695-706
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• 2018

최근 제조업을 시작으로 농업, 금융업 등의 전 산업 영역에서 ICBM(IoT, Cloud, Bigdata, Mobile)을 중심으로 한 신산업과의 융합이 급속도로 진행되고 있다. 향후 융합산업의 가장 큰 문제 중 하나인 사이버 위협에 대비하기 위해 정보보호를 고려한 융합산업의 발전이 매우 중요한 상황이다. 이에 본 연구에서는 현재 발표된 산업발전정책과 이와 관련된 정보보호정책들의 세부 내용을 교차영향분석으로 분석하고 전문가 설문을 통해 정책의 우선순위를 제시하였다. 이를 통해 정보보호정책 내의 우선순위 및 상호 연관성을 밝히고, 효과적인 정책 시행방향에 대해서 제시하고자 하였다. 결과적으로 본 연구에서 도출한 6개의 정보보호정책과제들은 모두 핵심 동인에 속하며, 정책의 중요도를 고려한다면 보안 산업의 체질개선 및 지원 강화, 정보보호 인재양성, 정보보호산업 투자확대 등의 정책이 상대적으로 우선 시행될 필요가 있는 것으로 나타났다.

• 한국융합학회논문지
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• 제8권7호
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• pp.245-251
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• 2017

요즘 외식서비스산업의 시장 환경이 산업간 융합을 통해 발전이 급변하고 있으며, 외식산업의 조직이라는 환경 또한 현대화, 산업화가 되면서 점점 복잡하고 예측하기 힘들어지고 있다. 이러한 환경 속에서 고객의 전체적인 소비과정에 직원의 참여가 반영되는 외식서비스산업의 경우, 인적자원이 그 기업의 경쟁우위가 될 수 있으며 인적자원 및 조직 관리의 중요성은 크다. 그러므로 본 연구에서는 효과적인 조직관리를 위해 리더십의 역할을 인식하고, 외식서비스산업의 종사자들에게 효과적인 조직 관리를 위한 감성리더십의 역할을 살펴보고자 하였다. 특히, 외식서비스산업 종사자들의 감성리더십, 조직성과, 조직문화에 대해 통합적인 관점에서 어떠한 영향을 미치는지 조직문화의 매개효과를 통해 검증해 보고자 하였다. 경기지역 7곳의 외식서비스산업 종사자들을 대상으로 전체 500명 중 383명을 대상으로 외식서비스산업 종사자들의 감성리더십이 조직문화의 매개역할을 통해 조직성과에 영향을 미친다는 것을 확인하였다. 본 연구결과를 통해 인간관계의 중요성을 요구하는 외식서비스산업 구조의 이해와 발전에 통합적인 관점의 시야를 제공하고, 외식산업뿐 아니라 여러 서비스업종 간의 융합적 사고를 기반 한 인적자원관리에 도움을 줄 수 있으리라 본다.