• Title/Summary/Keyword: Emerging health technology

Search Result 151, Processing Time 0.026 seconds

Strategic Approaches to Solid Ranking International Journals: KODISA Journals (국제저널 육성 방향과 전망: KODISA Journals를 중심으로)

  • Youn, Myoung-Kil;Kim, Dong-Ho;Lee, Jong-Ho;Hwang, Hee-Joong;Lee, Jung-Wan
    • Journal of Distribution Science
    • /
    • v.12 no.6
    • /
    • pp.5-13
    • /
    • 2014
  • Purpose - The purposes of this editorial review are twofold: firstly, to introduce the four flagship international journals of the Korea Distribution Science Association(KODISA): the Journal of Distribution Science(JDS), the Journal of Industrial Distribution & Business(JIDB), the East Asian Journal of Business Management(EAJBM), and the Journal of Asian Finance, Economics and Business(JAFEB), and secondly, to identify the direction of the KODISA journals and the roles and responsibilities of the editors of the KODISA journals. Research design, data, and methodology - To achieve the goals, firstly, this review paper addresses the current progress of the four KODISA journals: JDS, JIDB, EAJBM, and JAFEB. Secondly, this paper defines the aims and missions of the four KODISA journals. JDS publishes the articles of examining past, current, and emerging trends and concerns in the area of distribution science and economics, logistics and SCM, transportation, distribution channel management, distribution innovation and information technology, merchandising and procurement, distribution and marketing, consumer behavior, and manufacturing, wholesaling, and retailing. JDS publishes both quantitative and qualitative research as well as scholarly commentaries, case studies, book reviews and other types of reports relating to all aspects of distribution. JIDB publishes the articles of examining past, current, and emerging trends and concerns in the areas of industry and corporate behavior, industry policy making, industrial distribution and business, e-commerce, and service industry. EAJBM publishes empirical and theoretical research papers as well as scholarly commentaries, case studies, book reviews, and other types of reports relating to all aspects of East Asian business and economy. JAFEB publishes original research analysis and inquiry into the contemporary issues of finance, economics and business management in Asia, including Central Asia, East Asia, South Asia, Southeast Asia, and Middle East. The mission of JAFEB is to bring together the latest theoretical and empirical finance, economics and business management research in Asian markets. The audiences of the KODISA journals include higher education institutions, scholars, industry researchers and practitioners, scientists, economists, and policy makers throughout the world. The main mission of the KODISA journals is to provide an intellectual platform for international scholars, promote interdisciplinary studies in social sciences and economics, and become leading journals in the social science and economics category in the world. Thirdly, this paper addresses the current status of indexing in major databases of the KODISA journals, namely: Cabell's Directories, EBSCO, SCOPUS (Elsevier), and Social Sciences Citation Index® (SSCI, Thomson Reuters). Fourthly, this paper identifies the roles and responsibilities of the editors of the KODISA journals as the following: (1) Make sure that the journal be published in a timely manner and in international standards both in print and online versions. (2) Maintain the online homepage of the journal is always accessible to, and (3) Make sure that every article should go through a peer review process that meets international standards. Findings and conclusion - To accomplish the goals and missions of the KODISA journals, the editors of the KODISA journals must work together to publish high scholarly journals that meet international standards of journal publications.

Analyses of the current market trend and research status of indoor air quality control to develop an electrostatic force-based dust control technique (정전기적 힘을 이용한 실내공기 미세부유먼지 제거 요소기술의 개발을 위한 기술별 시장현황 및 연구 동향 분석)

  • Yoon, Young H.;Joo, Jin-Chul;Ahn, Ho-Sang;Nam, Sook-Hyun
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.14 no.12
    • /
    • pp.6610-6617
    • /
    • 2013
  • This study examined the current and future Indoor Air Quality (IAQ) control device markets and analyzed the recent studies on indoor air pollutantr emoval to develop a new technology for fine dust control. Currently, the mechanical filter technique occupies the bulk of the IAQ control market but the electronic technique is emerging as an alternative to control fine dust efficiently. Among the gaseous VOCs and fine dust particles contaminating the indoor air quality, fine dust particles are more problematic because they threaten human health by penetrating deep into the body and producing secondary contaminants by chemical reaction with VOCs. The electronic IAQ control device using dielectrophoretic and electrostatic forces is a good option for public spaces where many people pass, and at the same time, it needs to consider temperature, humidity, and the particle properties of specific areas to highlight the control efficiency. Electronic-related technology is expected to be used widely in many public/private spaces wherever a dust-free environment is required.

Production of Bio-ethanol from Agar using Saccharomyces cerevisiae (Saccharomyces cerevisiae 에 의한 Agar로부터 바이오 에탄올 생산)

  • Lee, Sung-Mok;Yu, Byung Jo;Kim, Young Min;Choi, Soo-Jeong;Ha, Jong-Myung;Lee, Jae-Hwa
    • Applied Chemistry for Engineering
    • /
    • v.20 no.3
    • /
    • pp.290-295
    • /
    • 2009
  • Red-algae agar, consisting of D-galactose and 3, 6-anhydro-L-galactose, is usable for bio-ethanol production if hydrolyzed to monomer unit. The objective of this study is to produce bio-ethanol from agar using the heat and acid-treatment. Bio-ethanol was produced by Saccharomyces cerevisiae KCCM1129 strains using agar-pretreatment. The optimal condition for reducing sugar conversion by agar was found to be 15 min reaction at a HCl concentration of 0.1 N and $120^{\circ}C$. The optimum concentration for maximum cell growth was 0.1 N NaCl (17.88 g/L). Over 0.1 N NaCl, the cell growth decreased to 6.78~10.76 g/L. At 16% agar concentration, the ethanol production obtained by optimum pretreatment was found to be 10.16 g/L.

A Study on Improvement Plan for Senior Education in Korea -Based on Lifelong Learning for the Elderly in Japan- (우리나라의 노인교육 발전 방안 모색 -일본의 고령자 생애학습을 기반으로-)

  • Lee, Jin Ah
    • Journal of Digital Convergence
    • /
    • v.16 no.6
    • /
    • pp.37-44
    • /
    • 2018
  • In the situation where various social problems are raised due to rapid aging, how to send a long period of old age is emerging as an important issue. As the life span is extended, education for the elderly is attracting attention as a means of sending meaningful and effective old age that is about over 20years longer than before. This study aims to analyse the current status and characteristics of elderly education as lifelong learning in Japan where has already entered a super-aged society. This is because it will be expected to find meaningful lessons and implication for the development of education for the elderly in Korea, which is becoming more important. In order to complete this purpose, the literature review was conducted based on the data and reports published by the Ministry of Health, Labour and Welfare and Ministry of Education, Culture, Sports, Science and Technology of Japan which are institutions related to education for the elderly. Through this, the practical and policy support for the elderly education development in Korea was suggested. In specific, diversification of lifelong learning contents and execution places, expansion of out-reach education, and fostering coordinators were provided.

Production of Bio-ethanol from Brown Algae by Physicochemical Hydrolysis (물리화학적 가수분해에 의한 갈조류 바이오 에탄올 생산)

  • Lee, Sung-Mok;Kim, Jae-Hyeok;Cho, Hwa-Young;Joo, Hyun;Lee, Jae-Hwa
    • Applied Chemistry for Engineering
    • /
    • v.20 no.5
    • /
    • pp.517-521
    • /
    • 2009
  • In this study, the productivity of bio-ethanol obtained from various brown-algae raw materials was examined. Brown-algae polysaccharide, consisting of alginate and laminaran, is usable for the effective production of bio-ethanol if it is hydrolyzed to monomer unit. The objective of this study is the production of bio-ethanol from brown-algae using a heat-treatment and acid-treatment. Bio-ethanol was produced by Saccharomyces cerevisiae KCCM1129 and Pachysolen tannophilus KCTC 7937 strains. Laminaran japonica was higher than Sagassum fulvellum and Hizikia fusiformis, Laminaran japonica optimum pre-treatment is used to derive the ethanol production of Saccharomyces cerevisiae KCCM1129 and Pachysolen tannophilus KCTC 7937 respectively 9.16 g/L, 9.80 g/L. The maximum output of Sargassum fulvellum and Hizikia fusiformis was very low as 0.22 g/L.

A Study on the Remaining Useful Life Prediction Performance Variation based on Identification and Selection by using SHAP (SHAP를 활용한 중요변수 파악 및 선택에 따른 잔여유효수명 예측 성능 변동에 대한 연구)

  • Yoon, Yeon Ah;Lee, Seung Hoon;Kim, Yong Soo
    • Journal of Korean Society of Industrial and Systems Engineering
    • /
    • v.44 no.4
    • /
    • pp.1-11
    • /
    • 2021
  • Recently, the importance of preventive maintenance has been emerging since failures in a complex system are automatically detected due to the development of artificial intelligence techniques and sensor technology. Therefore, prognostic and health management (PHM) is being actively studied, and prediction of the remaining useful life (RUL) of the system is being one of the most important tasks. A lot of researches has been conducted to predict the RUL. Deep learning models have been developed to improve prediction performance, but studies on identifying the importance of features are not carried out. It is very meaningful to extract and interpret features that affect failures while improving the predictive accuracy of RUL is important. In this paper, a total of six popular deep learning models were employed to predict the RUL, and identified important variables for each model through SHAP (Shapley Additive explanations) that one of the explainable artificial intelligence (XAI). Moreover, the fluctuations and trends of prediction performance according to the number of variables were identified. This paper can suggest the possibility of explainability of various deep learning models, and the application of XAI can be demonstrated. Also, through this proposed method, it is expected that the possibility of utilizing SHAP as a feature selection method.

Implementation of total management system for exhibitions and Convention using beacon (Beacon기술을 이용한 MICE시스템 설계 및 구현)

  • Kim, Young-Ick;Kim, Mijung;Kim, Hyu-Chan
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
    • /
    • v.6 no.2
    • /
    • pp.35-44
    • /
    • 2016
  • MICE industry is emerging as a new growth engine recently. Most of the domestic MICE events are carried out at low cost on a small scale. The event organizers want to cut down on costs of prints such as brochures and other promotional printed materials, as well as the personnel costs for the simple guide job needed on site, which are generated repeatedly and wastefully. The existing mobile web has a defect that the participants can't easily earn the information in the fixed menu, but have to search by themselves wasting lots of time. Therefore, it is necessary to develop the solution enables providing information efficiently at low cost for short-term use during the events. In this study, we implemented specific total management system for exhibitions and convention using beacon. The information system for exhibitions and events using beacon can raise the management efficiency, and the digital brochure function based on CMS heightens the information retrieval ability and also reduces costs. Organizers can manage their event efficiently in a small exhibition and convention event by running an online website and operate a site management system by them selves.

Activation of Health Care Big Data (헬스케어 분야에서의 빅데이터 활용 활성화 방안)

  • Moon, Ja-hwa
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2021.05a
    • /
    • pp.483-486
    • /
    • 2021
  • With the explosive increase in data, the 'big data era' has arrived, focusing on deriving new values and insights through data. With the development of data analysis technology, the importance of data analysis and utilization in the field of diagnosis and treatment as well as prevention is expanding, while the use of big data is emerging in the healthcare field. Moreover, as the three data-related laws (Personal Information Protection Act, Information and Communication Network Act, and Credit Information Act) were passed in January 2020, it became possible to use a wide range of big data through pseudonym information. However, the use of healthcare big data is still struggling due to various policies and regulations, inconsistent data quality, and the absence of specialized personnel. Therefore, in this study, examines the current state of use of big data in the healthcare field, and analyzes the challenges, overseas cases, plans, and expected effects for activation of healthcare big data.

  • PDF

Performance Evaluation of SDN Controllers: RYU and POX for WBAN-based Healthcare Applications

  • Lama Alfaify;Nujud Alnajem;Haya Alanzi;Rawan Almutiri;Areej Alotaibi;Nourah Alhazri;Awatif Alqahtani
    • International Journal of Computer Science & Network Security
    • /
    • v.23 no.7
    • /
    • pp.219-230
    • /
    • 2023
  • Wireless Body Area Networks (WBANs) have made it easier for healthcare workers and patients to monitor patients' status continuously in real time. WBANs have complex and diverse network structures; thus, management and control can be challenging. Therefore, considering emerging Software-defined networks (SDN) with WBANs is a promising technology since SDN implements a new network management and design approach. The SDN concept is used in this study to create more adaptable and dynamic network architectures for WBANs. The study focuses on comparing the performance of two SDN controllers, POX and Ryu, using Mininet, an open-source simulation tool, to construct network topologies. The performance of the controllers is evaluated based on bandwidth, throughput, and round-trip time metrics for networks using an OpenFlow switch with sixteen nodes and a controller for each topology. The study finds that the choice of network controller can significantly impact network performance and suggests that monitoring network performance indicators is crucial for optimizing network performance. The project provides valuable insights into the performance of SDN-based WBANs using POX and Ryu controllers and highlights the importance of selecting the appropriate network controller for a given network architecture.

Development of Real-time and Simultaneous Quantification of Volatile Organic Compounds in Ambient with SIFT-MS (Selected Ion Flow Tube-Mass Spectrometry) (선택적다중이온질량분석기를 이용한 대기 중 휘발성유기화합물 실시간 동시분석법 개발 및 적용)

  • Son, Hyun Dong;An, Joon Geon;Ha, Sung Yong;Kim, Gi Beum;Yim, Un Hyuk
    • Journal of Korean Society for Atmospheric Environment
    • /
    • v.34 no.3
    • /
    • pp.393-405
    • /
    • 2018
  • Volatile organic compounds (VOCs) are representative air pollutants due to their detrimental effects on human health and their role in formation of secondary organic aerosols. Assessments and monitoring programs of VOCs using periodic grab sampling like Tedlar bags, canisters, and sorbent traps provide limited information, often with delay times of days or weeks. Selected ion flow tube mass spectrometry (SIFT-MS) is an emerging analytical technique for the real-time quantification of VOCs in air. It relies on chemical ionization of the VOCs molecules in air introduced into helium carrier gas using $H_3O^+$, $NO^+$, and $O_2{^+}$ precursor ions. Real-time monitoring method of 60 VOCs in the ambient air was developed using TO-15 standard gas mixture. Calibration curves, method detection limit, and quantitation reproducibility of the target compounds were tested. Dynamic dilution system was used to dilute standard gas from 0.174 ppbv to 100 ppbv, where calibration curves showed good linearity with $r^2$> 0.95 in all target analytes. Limit of detection (LOD) all compounds were sub ppbv, and some halogenated compounds showed pptv levels. Seven consecutive analyses of target compounds showed good repeatability with relative standard deviation of less than 10%. One day monitoring of VOCs in ambient air was conducted in Geoje. Average concentration of target VOCs in Geoje were relatively lower than other regions, among which formaldehyde showed the highest concentration ($15.4{\pm}5.78ppbv$). SIFT-MS provided good temporal resolution data (1 data per 3.2 minute), which can be used for identifying ephemeral short-term event. It is expected that SIFT-MS will be a versatile monitoring platform for VOCs in ambient air.