• Title/Summary/Keyword: Product Service system

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Internet of Things and Innovative Media Firms (사물인터넷과 미디어기업의 혁신)

  • Moon, Sanghyun
    • Journal of the Korea Convergence Society
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    • v.10 no.6
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    • pp.157-164
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    • 2019
  • This research examines how IoT makes a significant contribution to the innovation of media firms. The media firms will be able to find new reveue sources and strengthen firms' competence through innovating product, process and business model. While IoT increases the experience of interactivity and immersion for consumption, it improves the way ads are exposed and its impact is measured, leading to revenue increase. For these benefits fulfilled, innovation friendly media eco-system must be established. It is the most critical that media firms should change skeptical attitude toward IoT's potential and actively invest it to employ IoT. The government should create regulatory framework to best utilize the innovative advantages of IoT.

Evaluation of Hazardous Chemicals with Material Safety Data Sheet and By-products of a Photoresist Used in the Semiconductor-Manufacturing Industry

  • Jang, Miyeon;Yoon, Chungsik;Park, Jihoon;Kwon, Ohhun
    • Safety and Health at Work
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    • v.10 no.1
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    • pp.114-121
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    • 2019
  • Background: The photolithography process in the semiconductor industry uses various chemicals with little information on their constitution. This study aimed to identify the chemical constituents of photoresist (PR) products and their by-products and to compare these constituents with material safety data sheets (MSDSs) and analytical results. Methods: A total of 51 PRs with 48 MSDSs were collected. Analysis consisted of two parts: First, the constituents of the chemical products were identified and analyzed using MSDS data; second, for verification of the by-products of PR, volatile organic compounds were analyzed. The chemical constituents were categorized according to hazards. Results: Forty-five of 48 products contained trade secrets in amounts ranging from 1 to 65%. A total of 238 ingredients with multiple counting (35 ingredients without multiple counting) were identified in the MSDS data, and 48.7% of ingredients were labeled as trade secrets under the Korea Occupational Safety and Health Act. The concordance rate between the MSDS data and the analytical result was 41.7%. The by-product analysis identified 129 chemicals classified according to Chemical Abstracts Service No., with 17 chemicals that are carcinogenic, mutagenic, and reprotoxic substances. Formaldehyde was found to be released from 12 of 21 products that use novolak resin. Conclusion: We confirmed that several PRs contain carcinogens, and some were not specified in the toxicological information in the MSDS. Hazardous chemicals, including benzene and formaldehyde, are released from PRs products as by-products. Therefore, it is necessary to establish a systematic management system for chemical compounds and the working environment.

A Study on the HDF5 Data Model Design for Gridded Marine Weather Information Based on S-100 (S-100 기반의 격자형 해양기상정보 데이터 모델 설계에 관한 연구)

  • Kang, Donghun;Eom, Dae-Yong
    • Journal of Navigation and Port Research
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    • v.46 no.3
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    • pp.158-167
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    • 2022
  • The International Maritime Organization's e-Navigation strategy introduces new technologies to ships to support easier and safer navigation. To implement the e-Navigation strategy, it was necessary to develop a common data model, that could meet various requirements across all aspects of the maritime information service. The International Hydrographic Organization's S-100 Universal Hydrographic Data Model was selected, as the basis for the standardization of maritime data products. Three S-100 based product specifications for weather information, collectively called "S-41X", are currently under development by the NOAA's Ocean Prediction Center, for use in the Electronic Chart Display and Information System (ECDIS). This paper describes a design of a grid based S-413 data model out of three S-41X product specifications. Other S-100 data products, which support the gridded data format, were considered. To verify the data model, an encoding test was conducted, using the Korean Meteorological Adminstration's numerical prediction model results.

Sentiment Analysis for COVID-19 Vaccine Popularity

  • Muhammad Saeed;Naeem Ahmed;Abid Mehmood;Muhammad Aftab;Rashid Amin;Shahid Kamal
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.5
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    • pp.1377-1393
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    • 2023
  • Social media is used for various purposes including entertainment, communication, information search, and voicing their thoughts and concerns about a service, product, or issue. The social media data can be used for information mining and getting insights from it. The World Health Organization has listed COVID-19 as a global epidemic since 2020. People from every aspect of life as well as the entire health system have been severely impacted by this pandemic. Even now, after almost three years of the pandemic declaration, the fear caused by the COVID-19 virus leading to higher depression, stress, and anxiety levels has not been fully overcome. This has also triggered numerous kinds of discussions covering various aspects of the pandemic on the social media platforms. Among these aspects is the part focused on vaccines developed by different countries, their features and the advantages and disadvantages associated with each vaccine. Social media users often share their thoughts about vaccinations and vaccines. This data can be used to determine the popularity levels of vaccines, which can provide the producers with some insight for future decision making about their product. In this article, we used Twitter data for the vaccine popularity detection. We gathered data by scraping tweets about various vaccines from different countries. After that, various machine learning and deep learning models, i.e., naive bayes, decision tree, support vector machines, k-nearest neighbor, and deep neural network are used for sentiment analysis to determine the popularity of each vaccine. The results of experiments show that the proposed deep neural network model outperforms the other models by achieving 97.87% accuracy.

Prescriptive analysis of liquid gastric digestive solutions (액상형 건위소화제의 방제학적 분석)

  • Hong Seok Lee;Min Ju Kim;Ye Bin Shin;Soo Myeong Kim;Sung Jong Shin;Kyung Hwan Jegal
    • Herbal Formula Science
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    • v.32 no.3
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    • pp.277-296
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    • 2024
  • Objective : Dyspepsia is one of the most common ailments among Koreans, leading to a continuously expanding market for liquid digestive solutions. These products are popular due to their convenience and low risk of side effects. However, there is a lack of research on the basic prescription composition of these ingredients and their precise indications according to Korean Medicine. Methods : Drugs were selected from the Korea Pharmaceutical Information Service website (http://www.health.kr), focusing on oral and liquid products classified under the Ministry of Food and Drug Safety's category of stomach and digestive aids (category 233). Frequency analysis was conducted to determine the occurrence and combinations of herbal ingredients within each product. Additionally, the four properties and five flavors of each product were calculated using their herbal ingredient composition ratios, and Pearson correlation coefficients were employed to verify the linear relationships between the composition ratios of the ingredients. Results : A comparative analysis of 33 liquid digestive medicines revealed that Zingiberis Rhizoma was the most frequently used herb. The most common dual-herb combination was Zingiberis Rhizoma and Citri Unshius Pericarpium, and the most prevalent tri-herb combination was Zingiberis Rhizoma, Citri Unshius Pericarpium, and Cinnamomi Cortex. Pearson correlation coefficient analysis showed a strong positive correlation between the composition ratios of Zingiberis Rhizoma and Cinnamomi Cortex. The analysis of four properties and five flavors indicated that products with warm and bitter flavors were the most common. Conclusions : The most frequently used herbal combination in liquid digestive solutions was Zingiberis Rhizoma, Citri Unshius Pericarpium, and Cinnamomi Cortex. This composition is suitable for treating dyspepsia caused by cold-dampness in the digestive system.

Determinants of Insurance Products Cross-selling Performance : Focusing on Career Experience (직업경험을 중심으로 한 보험상품 교차판매 성과의 결정요인 분석)

  • Son, WooCheol;Kang, ShinAe
    • Journal of Service Research and Studies
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    • v.9 no.3
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    • pp.39-60
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    • 2019
  • The purpose of this study is to analyze the determinants of insurance product cross selling performance. For the study, 11 insurance managers and 2 sales managers belonging to A insurance agency were selected and in-depth interviews were conducted. The analysis of the research data was done by the open coding method suggested by Strauss & Corbin(2001). As a result, 84 concepts, 28 subcategories and 10 categories were derived. The ten categories that were determinants of insurance product cross-selling performance were personal characteristics, consultation method, cross-selling ratio, sales culture, education, customer change, customer DB provision, satisfaction, business support system, and customer service. In order to verify the qualitative results, quantitative analysis was emplyed to the actual performance data of insurance planners belonging to A insurance agency during April 2016~March 2019. As a result of the analysis, the age, position, and the number of months worked in the insurance company had a statistically significant effect on the number of life insurance contracts in total insurance contracts and life insurance contracts in total insurance contracts. In addition, the age, position, and the number of months worked in the insurance company had a statistically significant negative impact on the number of non-life insurance contracts in the total number of insurance contracts and the total amount of insurance contracts in total insurance contracts. The result of this study can be an important basic data for the development of educational programs and job support systems for the training of insurance planners. Insurance companies should refer to ten categories derived from qualitative research in order to increase the performance of insurance planners and to promote long-term service. Especially, it is necessary to develop specialized education programs and job support systems so that cross sales that increase the proportion of life insurance sales increase.

A Study on Designing Method of VoIP QoS Management Framework Model under NGN Infrastructure Environment (NGN 기반환경 에서의 VoIP QoS 관리체계 모델 설계)

  • Noh, Si-Choon;Bang, Kee-Chun
    • Journal of Digital Contents Society
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    • v.12 no.1
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    • pp.85-94
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    • 2011
  • QoS(Quality of Service) is defined as "The collective effect of service performance which determines the degree of satisfaction of a user of the service" by ITU-T Rec. E.800. While the use of VoIP(Voice Over Internet Protocol) has been widely implemented, persistent problems with QoS are a very important sue which needs to be solved. This research is finding the assignment of VoIP QoS to deduct how to manage the control system and presenting the QoS control process and framework under NGN(Next Generation Network) environment. The trial framework is the modeling of the QoS measurement metrics, instrument, equipment, method of measurement, the series of cycle & the methodology about analysis of the result of measurement. This research underlines that the vulnerability of the VoIP protocol in relation to its QoS can be guaranteed when the product quality and management are controlled and measured systematically. Especially it's very important time to maintain the research about VoIP QoS measurement and control because the big conversion of new network technology paradigm is now spreading. In addition, when the proposed method is applied, it can reduce an overall delay and can contribute to improved service quality, in relation to signal, voice processing, filtering more effectively.

A Study of Integrated Evaluation of System Lighting and User Centered Guideline Development - Focused on the Lighting Design Method for Office Space - (시스템조명 통합평가 및 사용자 맞춤형 가이드라인 개발 연구 - 사무공간 설계방법을 중심으로 -)

  • Kim, Ju-Hyun;Ko, Jae-Kyu;Cho, Mee-Ryoung
    • Korean Institute of Interior Design Journal
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    • v.23 no.6
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    • pp.78-86
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    • 2014
  • Lighting in indoor space is being changed to system lighting converged with IT technology. Office space lighting with incandescent lamps and fluorescent lamps was completed through overall lighting plan by illumination in most cases, but convergence between LED lighting and IT technology enables the technology of responding to user requirements to be realized. Optical physical quantity suitable for humans and the lighting environment in accordance with user's sensibility, based on space function and user's behavior, would contribute to the improvement of service productivity, energy reduction, and enhancement of emotional satisfaction by providing user optimized lighting solution. Thus, user-customized system lighting guidelines to be applied with integration indicators of optics and sensibility are required. For the design elements required by users, environmental factors, product characteristics, optical characteristics, and sensibility factors are drawn from the design cases for office space and the survey, and the design check list and evaluation indicators are considered to reflect the requirements in the design and requirement indicators to give integrated satisfaction for optics and sensibility are developed. Purpose-centered design method from the user's viewpoint is applied to function-focused design through scenario, and it should be applied flexibly, as the new lightning design method solutions, to the concept design stage of space lighting design and device development. This paper, therefore, presents user-customized guidelines by pursuing the optics and sensibility evaluation and design method combining the requirement conditions and scenario, to be used for lighting content development and design.

Problems and Improvement of Privacy Impact Assessment (개인정보영향평가의 문제점과 개선방안)

  • Choi, Young-hee;Han, Keun-hee
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.26 no.4
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    • pp.973-983
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    • 2016
  • It's been almost 6 years since PIA was implemented based on legislation. So I analyzed problems of PIA from the perspective of ITSM 3 elements. I mainly took account of quality improvement of the report when I assessed systems processing personal informations. So, I propose in terms of logical validity improvement of assessment report. The improvements on 4 different outputs for each phase are many cases that I assessed systems processing personal informations. And I propose improvements on qualified assessors having capability of GRC and on process for managing the assessment system. To settle down PIA system as the reasonable and effective assessment system even after 2016, the statutory deadline for completion of PIA, assessors and appointed assessment firms and authorities should cooperate to complete the assessment system.

A HS tariff classification service based on a knowledge convergence performance system supporting decision elements and field terms (결정요소 및 현장용어 지원 지식융합 수행 시스템 기반의 HS 관세분류 서비스에 관한 실증 연구)

  • Kim, Eunsoo;Song, ByungJun;Lee, Jong Yun
    • Journal of the Korea Convergence Society
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    • v.6 no.1
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    • pp.49-55
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    • 2015
  • In the FTA environment, it is necessary to comply with the rules of origin in order to receive duty-free benefits. To do this, they have to precede the Harmonized System(HS) tariff classification of the goods and understand thoroughly the basic principles that constitute the tariff schedule of HS classification. For the correct classification, they should understand exactly the product name of "Heading" about the items, "Legal Note" in the relevant "Section" or "Chapter" as well as provisions of the commentary. Therefore, this paper proposes to develop a HS classification services based on the performance system of knowledge convergence of field terms commonly used in various industries. In result, our services can provide users the conveniences which users first selects one of seven decision elements of the classification and perform the classification easily and accurately.