• Title/Summary/Keyword: data industry

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PAPG: Private Aggregation Scheme based on Privacy-preserving Gene in Wireless Sensor Networks

  • Zeng, Weini;Chen, Peng;Chen, Hairong;He, Shiming
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.9
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    • pp.4442-4466
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    • 2016
  • This paper proposes a privacy-preserving aggregation scheme based on the designed P-Gene (PAPG) for sensor networks. The P-Gene is constructed using the designed erasable data-hiding technique. In this P-Gene, each sensory data item may be hidden by the collecting sensor node, thereby protecting the privacy of this data item. Thereafter, the hidden data can be directly reported to the cluster head that aggregates the data. The aggregation result can then be recovered from the hidden data in the cluster head. The designed P-Genes can protect the privacy of each data item without additional data exchange or encryption. Given the flexible generation of the P-Genes, the proposed PAPG scheme adapts to dynamically changing reporting nodes. Apart from its favorable resistance to data loss, the extensive analyses and simulations demonstrate how the PAPG scheme efficiently preserves privacy while consuming less communication and computational overheads.

An Empirical Study of Implementation and Application of Mold Life Cycle Management Information System In the Cloud Computing Environment (클라우드 컴퓨팅 환경에서 금형 수명주기관리 정보시스템 구축 및 적용의 실증적 연구)

  • Koh, Joon-Cheol;Nam, Seung-Done;Kim, Kyung-Sik
    • Journal of the Korea Safety Management & Science
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    • v.16 no.4
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    • pp.331-341
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    • 2014
  • Internet of Thing(IoT), which is recently talked about with the development of information and communication technology, provides big data to all nodes such as companies and homes, means of transportation etc. by connecting all things with all people through the integrated global network and connecting all actual aspects of economic and social life with Internet of Thing through sensor and software. Defining Internet of Thing, it plays the role of a connector of providing various information required for the decision-making of companies in the cloud computing environment for the Insight usage by collecting and storing Raw Data of the production site through the sensor network and extracting big data in which data is accumulated and Insight through this. In addition, as the industry showing the largest linkage with other root industries among root industries, the mold industry is the core technology for controlling the quality and performance of the final product and realizing the commercialization of new industry such as new growth power industry etc. Recently, awareness on the mold industry is changing from the structure of being labor-intensive, relying on the experience of production workers and repeating modification without the concept of cost to technology-intensive, digitization, high intellectualization due to technology combination according to IT convergence. This study, therefore, is to provide a golden opportunity to increase the direct and indirect expected effects in poor management activities of small businesses by actually implementing and managing the entire process of mold life cycle to information system from mold planning to mass production and preservation by building SME(small and medium-sized enterprises)-type mold life cycle management information system in the cloud computing environment and applying it to the production site.

The prediction of vapor-liquid equilibrium data for 2-methyl-2-propanol-2-butanone system at low pressure (저압하에서 2-methyl-2-propanol-2-butanone계의 기액평형치의 추산)

  • Shim, Hong-Seub;Rhew, Jong-Ha
    • Journal of the Korean Society of Industry Convergence
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    • v.7 no.1
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    • pp.97-105
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    • 2004
  • The Vapor-liquid equilibrium data for the binary system of 2-methyl-2-propanol-2-butanone are measured at subatmospheric pressure of 100, 200, 300, 400, 500, 600, 700 and 760 torr. This study shows that the relations between logarithmic values of relative valatility(log ${\alpha}$)and liquid phase composition(${\chi}$) in the above binary systems are expressed as a linear function. When the linear relationships of between logarithmic values of relative volatilities and liquid phase compositions in the binary systems of various pressure intersect at a point, this empirical equation can be applied to the systems of this kind. From these relations the vapor-liquid equilibrium data are estimated and compared with the measured values to be in a good agreement with in accuracy ${\pm}0.0021$ for the various pressure.

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The establishment of the Korean government and the food situation during the Korean War (대한민국 정부수립과 한국전쟁 중의 식량사정)

  • Lee, Cherl-Ho
    • Food Science and Industry
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    • v.55 no.3
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    • pp.308-325
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    • 2022
  • The food life of Korean people during the establishment of Republic of Korea and the Korean war was reviewed. After liberation in 1945, the division of South and North Korea, the establishment of the governments, and the ensuing Korean War made Korean society extremely chaotic and transformed. Consequently, data on Korean dietary life during this period (1945-1960) are scarce and unreliable. The author tried to reveal the food situation and health and nutritional status of Koreans during this period by examining the data released by the US National Archives and other review books. Regarding the nascent period of the food industry after the Korean War, data from the recent 50-year history of the Korea Food Industry Association has been compiled.

Study on Promotion of ESG Tourism in Bhutan through Big Data Analysis - Focusing on comparison with ESG Tourism status in Korea-

  • Min Kyeong Kim
    • International Journal of Internet, Broadcasting and Communication
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    • v.15 no.2
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    • pp.39-48
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    • 2023
  • The purpose of this study is to revitalize ESG tourism in Bhutan by comparing and analyzing the ESG tourism status in Bhutan and the ESG tourism status in Korea. Big data analysis using text mining was performed by selecting "Bhutan ESG Tourism" and "Korea ESG Tourism" as keywords. The top 30 keywords were extracted through word purification, and based on this, data visualization was conducted through network analysis and Concor analysis between each keyword. As a result of the analysis, it was confirmed that Bhutan, unlike Korea, did not utilize it even though it had elements to incorporate ESG and the tourism industry into the country itself. As a result, since it is necessary to combine ESG elements owned by Bhutan and combine them with the tourism industry, we would like to suggest the direction of combining ESG and the tourism industry through this study.

Study on Experience of Industrial Accidents and Awareness Level for Beauty Product Safety of Beauty Industry Employee (미용업 종사자의 사고재해 경험 및 사용제품의 안전 인식도에 관한 연구)

  • Choi, Seo-Yeon;Hur, Kuk-Kang;Park, Dong-Hyun
    • Journal of the Korea Safety Management & Science
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    • v.14 no.4
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    • pp.59-70
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    • 2012
  • This study compared data regarding industrial accidents and awareness level for beauty product safety for four main parts of beauty industry such as hair-care, nail-care, skin-care, and make-up. Major risk factors in beauty industry are dust, musculoskeletal disorders, and organic solvent of beauty product in order of percentage. The specific types of industrial accidents in beauty industry are mainly associated with musculoskeletal system such as cuts, sprain, and varicose vein. They are mainly compensated by personal budget. The awareness levels of chemical and heavy metal containment for beauty product by beauty industry employee were 77.2% and 59.1% respectively. Most employee confirmed only important items of labelling requirement of beauty product. Also, most employee did not understand MSDS(Materila Safety Data) for chemicals used in beauty industry. Only 38.1% of beauty industry employee has had safety education while most employee (73.6%) realized that they needed safety education. Also, safety education supervised by KOSHA(Korea Occupational Safety and Health Agency) was the most preferred. This study would be good basis for safe and healthy working environment of beauty industry employee.

The Structural Relationship of Sustainable Organizational Commitment of Beauty Industry Employees in the 4th Industrial Revolution Era

  • Eun-Jung, SHIN;Ki-Han, KWON
    • The Journal of Industrial Distribution & Business
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    • v.14 no.3
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    • pp.27-43
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    • 2023
  • Purpose: Changes in the employment environment in the era of the 4th Industrial Revolution are influencing various factors by the emergence of new jobs and the change in perception of job stability due to globalization of information technology and industry This study attempted to present implications by verifying the structural relationship of beauty workers' sustainable organizational commitment and the method necessary for conflict management in the industrial field due to the recent changes in the employment environment of the beauty industry in the 4th Industrial Revolution. Research design, data and methodology: This study sampled 604 beauty industry employees Frequency analysis, validity and reliability analysis, factor analysis, and path analysis were performed using SPSS WIN23.0. Results: It was found that the change in the employment environment caused by the 4th industrial revolution had a significant negative (-) effect on the job satisfaction and organizational commitment of beauty industry workers. Conclusion: This study is that changes in the employment environment negatively affect job satisfaction and organizational commitment of beauty workers. We hope to contribute to the development and growth of the beauty industry by providing basic data for the beauty tech service industry in the 4th industrial era.

A Study on the Activation Plan for Regional Industry Ecosystem Using AHP Technique -Focused on the Automobile Industry in Gwangju- (AHP 기법을 활용한 지역 산업생태계 활성화 방안에 관한 연구 -광주 지역 자동차 산업을 중심으로-)

  • Kim, Hyun-Ji;Kim, Han-Gook
    • Journal of the Korea Convergence Society
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    • v.12 no.2
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    • pp.259-269
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    • 2021
  • Many researchers have discussed on a policy establishment to revitalize a regional industry of a domestic ecosystem. However, it is rare to consider activation measures and priorities that are appropriate for local characteristics. Therefore, this study conducted a qualitative study to gather and analyze the views of expert groups in order to derive measures to revitalize the automobile industry in Gwangju. We examined the current status of the automobile industry in Gwangju based on a literature survey and in-depth interviews and what kind of crisis there is. We then derive strategic candidates for activation measures to address this. In addition, the relative importance and priorities of the methods derived using AHP techniques were identified. This leads to five strategies on which methods should be applied first. This will be used as the basis for future strategy development.

Trends of Big Data and Artificial Intelligence in the Fashion Industry (빅데이터와 인공지능을 중심으로 한 패션산업의 동향)

  • Kim, Chi Eun;Lee, Jin Hwa
    • Journal of the Korean Society of Clothing and Textiles
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    • v.42 no.1
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    • pp.148-158
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    • 2018
  • This study analyzes recent trends in fashion retailing instigated by the fourth industrial revolution and approaches the trends in terms of the convergence of big data and artificial intelligence. The findings are as below. First, companies like 'Edited' and 'Stylumia' offer solutions that support the strategic decisions of fashion brands and fashion retailers by analyzing big data using artificial intelligence. Second, the convergence of big data and artificial intelligence scales personalized service on the web as examples of 'Coded Couture', 'StitchFix', and 'Thread'. Third, the insights gained from artificial intelligence and big data help create new fashion retailing platforms such as 'Botshop' and 'Lyst'. Last, artificial intelligence and big data assist with design. 'Ivyrevel' designs digital fashion, assisted by a macroscopic perspective on fashion trends, market and consumers through the analysis of big data. The Fourth Industrial Revolution brings changes across all industries that will likely accelerate. The fashion industry is also undergoing many changes with advancements in scientific technology. The convergence of big data and artificial intelligence will play a key role in the future of fast-moving industry like fashion, where fickle tastes of consumers are the main drivers.

Development of the Master Data Management for the Middle manufacturing Industry (중견 제조기업에 적합한 생산 마스터 정보관리(Master Data Management) 솔루션 개발)

  • Kim, Jung-Sook
    • Journal of the Korea Society of Computer and Information
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    • v.11 no.3
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    • pp.97-105
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    • 2006
  • Our middle manufacturing industry need a master data management solution to adjust the changing industry environment effectively. In this paper, we development the master data management solution which has an user interface to use conveniently and has a standard data architecture for the efficient connection among various systems. Also this solution composed of the automated connection module which can make an intermediate language based on the standard data architecture and composed of the extensible production data management to improve the extensibility. This solution can provide an efficient progress information of work which was not managed by officer until now as well as can provide stable system building when we want to extend the system.

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