• Title/Summary/Keyword: Promising Industry

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A Study on the Activation Plan for K-Beauty Beauty Industry (K-Beauty 미용산업 활성화 방안에 관한 연구)

  • Pyo, Young-Hee
    • Journal of Convergence for Information Technology
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    • v.11 no.12
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    • pp.229-235
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    • 2021
  • The K-Beauty beauty industry is emerging as a future-oriented growth industry that creates high added value. Therefore, this study analyzed the trends of the K-Beauty beauty industry, the latest cosmetics industry trends, and previous studies and reports related to global competitiveness with the purpose of suggesting a direction to develop into a promising industry with future value needs and competitiveness of consumers. First, it is necessary to induce the demonstration of social and economic value as an export-beneficial industry by enabling division of roles between industries and governments by sector based on innovation and creativity. Second, it is expected to succeed only when beauty and IT are fused to form and expand an innovation network. Finally, if legal and institutional improvements are preceded to solve the task of creating new jobs and fostering professionals that meet the goals of industrial development, it will be possible to strategize the revitalization of the future-oriented K-Beauty beauty industry.

Pig production in Latin America

  • Luciano Roppa;Marcos Elias Duarte;Sung Woo Kim
    • Animal Bioscience
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    • v.37 no.4_spc
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    • pp.786-793
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    • 2024
  • Latin America is a culturally, geographically, politically, and economically diverse region. Agriculture in Latin America is marked by a remarkable diversity of production systems, reflecting various agroecological zones, farm sizes, and technological levels. In the last decade, the swine industry increased by 30.6%, emerging as a great contributor to food security and economic development in Latin America. Brazil and Mexico dominate the pig production landscape, together accounting for 70% of sow inventory in the region. The swine industry in Latin America is predominantly comprised of small and medium-sized farms, however, in the past 30 years, the number of pig producers in Brazil dropped by 78%, whereas pork production increased by 326%. Similar to the global pork industry, the growing demand for pork, driven by population growth and changing dietary habits, presents an opportunity for the industry with an expected growth of 16% over the next decade. The export prospects are promising, however subject to potential disruptions from global market conditions and shifts in trade policies. Among the challenges faced by the swine industry, disease outbreaks, particularly African Swine Fever (ASF), present significant threats, necessitating enhanced biosecurity and surveillance systems. In 2023, ASF was reported to the Dominican Republic and Haiti, Porcine Reproductive and Respiratory Syndrome (PRRS) in Mexico, Costa Rica, the Dominican Republic, Colombia, and Venezuela, and Porcine Epidemic Diarrhea (PED) in Mexico, Peru, the Dominican Republic, Colombia, and Ecuador. Additionally, feed costs, supply chain disruptions, and energy expenses have affected mainly the smaller and less efficient producers. The swine industry is also transitioning towards more sustainable and environmentally friendly practices, including efficient feed usage, and precision farming. Ensuring long-term success in the swine industry in Latin America requires a holistic approach that prioritizes sustainability, animal welfare, and consumer preferences, ultimately positioning the industry to thrive in the evolving global market.

Worst-case Delay Analysis of Time-Triggered 802.15.4 for Wireless Industrial Environments

  • Kim, Hyun-Hee;Lee, Kyung-Chang
    • Journal of the Korean Society of Industry Convergence
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    • v.20 no.3
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    • pp.205-212
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    • 2017
  • This paper focuses on worst-case delay analysis of the time-triggered IEEE 802.15.4 protocol to satisfy the industrial quality-of-service (QoS) performance. The IEEE 802.15.4 protocol is considered to be unsuitable for industrial networks because its medium access control method is contention-based CSMA/CA, which exhibits unstable performance with an unbounded delay distribution under heavy traffic. To avoid these limitations, this paper presents a time-triggered version of the nonbeacon-enabled network of IEEE 802.15.4 that relies on a time division multiplexing access (TDMA) method implemented in the application layer without any modification of specification. The timing analysis of this time-triggered IEEE 802.15.4 was executed, and the worst-case transmission delay was calculated. Based on this analysis, the time-triggered IEEE 802.15.4 is a promising alternative for wireless industrial networking.

Evaluating Service System Alternatives via a Computer Simulation-enabled MCDM Framework

  • Deng, Wei-Jaw;Pei, Wen;Tsai, Chih-Hung
    • International Journal of Quality Innovation
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    • v.8 no.2
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    • pp.100-114
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    • 2007
  • Decision makers in the service industry must effectively cope with queuing problems, service capacity optimization, service efficiency and service quality problems. This study proposes a computer simulation-enabled MCDM framework that integrates computer simulation analysis, Taguchi method, expert opinion and multiple criteria decision making (MCDM) to assist decision makers in coping with decision problems. In this framework, Taguchi method is adopted to reduce the time required for the simulation experiment. Computer simulation analysis is adopted to obtain useful information for rapid decision-making without interrupting actual production. MCDM is used to select the optimal alternative. The illustrative result is extremely promising.

Things Recommendation Method using Social Relationship in Social Internet of Things (소셜 사물인터넷에서 소셜 관계를 이용한 사물 추천 기법)

  • Kim, Sung Rim;Kwon, Joon Hee
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.10 no.3
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    • pp.49-59
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    • 2014
  • The Internet of Things(IoT) is a new promising technology made from a variety of technology. The IoT links the objects or people, then enabling anytime, anywhere connectivity for anything and not only for anyone. Social networking services have changed the way people communicate. Recently, new research challenges in many areas of Internet of things and social networking services are fired. In this paper, we propose things recommendation method using social relationship in social Internet of Things. We study previous researches about social network service, IoT, and social IoT. We proposed SIoT_FW(Social IoT Friendship Weight) using static and a dynamic social friendship weight. Also, our method considers four social relationships (Ownership Object Relationship, Co-Location Object Relationship, Social Object Relationship, Parental Object Relationship). We presents a music device scenario using our proposed method.

Optimizing Content Duration for Mobile Ads

  • Truong, Vinh
    • IEIE Transactions on Smart Processing and Computing
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    • v.5 no.4
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    • pp.283-288
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    • 2016
  • Optimizing the number of ad clicks is a large-scale learning problem that is central to the multi-billion-dollar mobile advertising industry. There are currently several optimization methods being used, including ad mediation and ad positioning. Recently, researchers have recommended using ad refresh interval as a new method for optimizing mobile advertising. This paper applies that new method to optimize content duration for mobile ads. The result achieved from this optimization study could further increase revenue for mobile advertisers and publishers. This research has high applicability for the growing mobile advertising industry. It also lays out a solid background for future research in this promising area.

Simulation of a Mobile Patient Monitoring System with Load-balancing (부하 조절을 지원하는 이동환자 상시 모니터링 시스템 시뮬레이션)

  • Choi, Eun Jung;Kim, Myuhng Joo
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.6 no.4
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    • pp.67-73
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    • 2010
  • A Wireless Sensor Network(WSN) is a promising infrastructure for the future U-healthcare system. In a WSN for the U-healthcare system, both biometric data and location data are transferred hierarchically from lots of mobile patients to the base station server and some countermeasures are made in real time if necessary. In this process, we encounter the load-balancing problem when many patients gather in a specific area. We also encounter the data duplication problem when each patient moves into an area monitored by several supervisors. The second problem is closely related to the first one. In this paper, we propose a mobile patient monitoring system with priority-based policy in load-balancing to solve the previous two problems and perform a DEVS Java-based system simulation to verify the system efficiency.

Bilinear Model Predictive Control for Grade Change Operations in Paper Mills (지종교체 공정의 Bilinear 모델 예측제어)

  • Choo, Yeon-Uk;Yeo, Yeong-Koo;Kang, Hong
    • Journal of Korea Technical Association of The Pulp and Paper Industry
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    • v.37 no.1 s.109
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    • pp.61-66
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    • 2005
  • The grade change operations In paper mills exhibit inherent nonlinear dynamic characteristics. For this reason, the conventional model predictive control techniques based on linear process models are not adequate for the grade change operations. In this paper, a bilinear model for the nonlinear grade change processes was presented first and optimal input variables were calculated by using one-step-ahead predictive control method. Numerical simulations showed that the control performance lied within acceptable range and that the bilinear model predictive control scheme was highly promising control strategy for the grade change operations.

Analysis of Training Needs with Roles in College & University Foodservice Dietitians (대학급식소 영양사의 업무에 따른 교육필요성 분석)

  • Jang, Myeong-Suk;Lee, Jin-Mi;Baek, Seon-Yeong
    • Journal of the Korean Dietetic Association
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    • v.11 no.4
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    • pp.462-472
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    • 2005
  • College and university foodservice dietitians have to be competent for playing a role as the future food service executive as well as the present foodservice administrator in the promising foodservice industry field. The study conducted a survey to examine training needs corresponding to educational contents for the purpose of helping them acquire a new knowledge related to self-development and duty through educational training. The results of this study suggested that training needs were differed by general characteristics of dietitians, operational characteristics of food services, and training subjects. A future study should develop systematic training strategies for dietitians.

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Bagasse Pulping by Using Caro's Acid

  • Youself, Hussein-Abou
    • Journal of Korea Technical Association of The Pulp and Paper Industry
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    • v.33 no.5
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    • pp.30-36
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    • 2001
  • Caro's acid (persulphuric acid) has been proposed as a promising reagent used in pulping of lignocellu-losic materials. Bagass was subjected to caro's acid pulping under different pulping conditions of per acid concentration (2~8 percent), pulping temperatures (40~$60^{\circ}C$) and pulping time (120~240 min). The influence of different parameters of caro's acid pulping process on the chemical and strength properties of the produced pulps had been studied. Peracid concentration and pulping temperature are the most important variables of the pulping process. High degree of delignification and good deliberation were achieved at moderate pulping conditions in the studied range. Pulping experiments of bagasse by using caro's acid had been carried out for determination of the optimum comditions of the process. In inch case to effectively tackle the problem, a specific design of an experiment is selected depending on the goals to be achieved in the experimentation. The study could enable us to excepect the bagasse pulp properties (yield, Kappa number, DP) that be stated as function of the independent variables of caro's acid pulping process (per acid concentration, pulping temperature and pulping time).

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