• Title/Summary/Keyword: 디지털 세계

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Design and Implementation of Modbus Communications for Smart Factory PLC Data Collection (스마트팩토리 PLC 데이터 수집을 위한 Modbus 통신 설계 및 구현)

  • Han, Jin-Seok;Yoo, Jae-Soo
    • The Journal of the Korea Contents Association
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    • v.21 no.4
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    • pp.77-87
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    • 2021
  • Smart Factory refers to a factory that can be controlled by itself with an intelligent factory that improves productivity, quality and customer satisfaction by combining the entire process of manufacturing and production with digital automation solutions. The manufacturing industry around the world is rapidly changing, with Germany, Europe, and the United States at the center. In order to cope with such changes, the Korean government is also implementing a policy to spread the supply of smart factories for small and medium-sized companies, and related ministries and agencies such as the Ministry of Commerce, Industry and Energy, the Ministry of SMEs and Venture Business, the Korea Institute of Technology and Information Promotion, and local technoparks, as well as large companies such as Samsung, SK and LG are actively investing in smart manufacturing projects to support smart factories[1]. Factory Automation (FA) construction has many issues regarding the connection of heterogeneous equipment. The most difficult aspect of configuring various communications from various equipment is the reason. Although it may not be known if there are standards or products made up of the same company, it is not easy to build equipment that is old, up-to-date, and different use environments through a series of communications. To solve this problem, we would like to propose a method of communication using Modbus, one of FieldBus, which is one of the many industrial devices of PLC, a representative facility control system, and is used as a communication standard.

Impact of COVID-19 on Individual Depression and Quality of Life: Focusing on Differences by Age Group (COVID-19가 개인의 우울과 삶의 질에 미치는 영향: 연령대별 차이 중심으로)

  • Ha, Seong Kyu;Lee, Hey Sig;Park, Hae Yean
    • Therapeutic Science for Rehabilitation
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    • v.10 no.3
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    • pp.111-122
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    • 2021
  • Objective : The worldwide Coronavirus disease 2019 (COVID-19) pandemic has increased the level of depression and decreased the quality of life. This has caused an adverse effect of deteriorating the quality of life. As such, this study attempted to determine the effects of COVID-19 on depression and quality of life. Methods : The content was analyzed by conducting an online survey for two months, from November 2020 to December 2020, targeting 270 adults in their 20s to 60s nationwide. Results : Among the subjects', those in their 50s showed the greatest change in depression (p<.05). In terms of quality of life, there were significant changes in all age groups (p<.001). Among the subject characteristics unmarried individuals showed greater depression after COVID-19 than those who were married (p<.012). In terms of quality of life, married individuals had a higher quality of life than those who were unmarried (p<.001). Conclusion : The results confirmed that COVID-19 increased depression and lowered the quality of life in adults. The impact of the current COVID-19 pandemic, on society is constantly changing. This research needs to be updated.

Past, Present and Future of Geospatial Scheme based on Topo-Climatic Model and Digital Climate Map (소기후모형과 전자기후도를 기반으로 한 지리공간 도식의 과거, 현재 그리고 미래)

  • Kim, Dae-Jun
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.23 no.4
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    • pp.268-279
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    • 2021
  • The geospatial schemes based on topo-climatology have been developed to produce digital climate maps at a site-specific scale. Their development processes are reviewed here to derive the needs for new schemes in the future. Agricultural and forestry villages in Korea are characterized by complexity and diversity in topography, which results in considerably large spatial variations in weather and climate over a small area. Hence, the data collected at a mesoscale through the Automated Synoptic Observing System (ASOS) operated by the Korea Meteorological Administration (KMA) are of limited use. The geospatial schemes have been developed to estimate climate conditions at a local scale, e.g., 30 m, lowering the barriers to deal with the processes associated with production in agricultural and forestry industries. Rapid enhancement of computing technologies allows for near real-time production of climate information at a high-resolution even in small catchment areas and the application to future climate change scenarios. Recent establishment of the early warning service for agricultural weather disasters can provide growth progress and disaster forecasts for cultivated crops on a farm basis. The early warning system is being expanded worldwide, requiring further advancement in geospatial schemes and digital climate mapping.

The Effect of Technology Difficulty and Safety Perception on Customer Value Perception and Intention to Use Self-Service Technologies (셀프서비스기술 환경에서 기술난이도와 안전성 지각이 고객가치인식과 지속사용의도에 미치는 영향)

  • Bu, Shaoyang;Liu, Tianyuan;Koh, Joon
    • Knowledge Management Research
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    • v.23 no.1
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    • pp.47-67
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    • 2022
  • Computer and Internet information technologies(ICTs) have changed the modern service industry and people's life style. In particular, the global spread of COVID-19 has attracted more attention to contact service types such as self-service technology. With the increase in labor costs and the enhancement of consumer self-awareness, more and more companies transfer part of their work to customers through their own service technology. This study seeks to answer the following questions. (1) Do technology difficulty and safety perception affect customer value recognition in the self-service technologies? (2) Does customer value recognition influence the intention to use such technologies continuously? This study conducted an empirical analysis with 327 samples to validate the influence of self-service characteristics(technology difficulty and safety perception) on customer value recognition and continuous utilization intentions. Also, it analyzes the moderating effects of age and frequency of use on the relationship between self-service characteristics and customer value recognition. The study results show that the technology difficulty does not affect the customer's perceived value recognition; and the higher the customer's value recognition, the higher the intention of continuous use.

A Study on Automated Fake News Detection Using Verification Articles (검증 자료를 활용한 가짜뉴스 탐지 자동화 연구)

  • Han, Yoon-Jin;Kim, Geun-Hyung
    • KIPS Transactions on Software and Data Engineering
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    • v.10 no.12
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    • pp.569-578
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    • 2021
  • Thanks to web development today, we can easily access online news via various media. As much as it is easy to access online news, we often face fake news pretending to be true. As fake news items have become a global problem, fact-checking services are provided domestically, too. However, these are based on expert-based manual detection, and research to provide technologies that automate the detection of fake news is being actively conducted. As for the existing research, detection is made available based on contextual characteristics of an article and the comparison of a title and the main article. However, there is a limit to such an attempt making detection difficult when manipulation precision has become high. Therefore, this study suggests using a verifying article to decide whether a news item is genuine or not to be affected by article manipulation. Also, to improve the precision of fake news detection, the study added a process to summarize a subject article and a verifying article through the summarization model. In order to verify the suggested algorithm, this study conducted verification for summarization method of documents, verification for search method of verification articles, and verification for the precision of fake news detection in the finally suggested algorithm. The algorithm suggested in this study can be helpful to identify the truth of an article before it is applied to media sources and made available online via various media sources.

A Study on the Effect of IT Service Quality on User Satisfaction and Customer Loyalty: Focusing on the Perception Difference between the MZ Generation and the Existing Generation (IT서비스품질이 사용자만족과 고객충성도에 미치는 영향: MZ세대와 기성세대간 인식차이를 중심으로)

  • Shin, Soo-Haeng
    • Journal of Industrial Convergence
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    • v.20 no.1
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    • pp.13-21
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    • 2022
  • Globally, the baby boomer generation is economically retired, and the MZ generation is emerging as a new economic force. This study demonstrated the effect of service quality on user satisfaction and customer loyalty for IT services, and checked whether it had a moderating effect on the MZ generation's perception of service quality and its effect on user satisfaction. In addition, we tried to find implications for service satisfaction of the MZ generation. For this purpose, valid responses were obtained from 496 members of companies receiving IT services from Company A. then, a hierarchical regression analysis were performed to verify the hypothesis. As a result of the analysis, the influence relationship between service quality, user satisfaction, and customer loyalty was confirmed, similar to the results of previous studies, and it was confirmed that the negative moderating effect of lower perception of user satisfaction through interaction. Therefore, it can be suggested that there is a need to develop a new digital-based service that can share and sympathize with special experiences, consumption values and beliefs. In the future, if research is conducted on a variety of consumers, it will be possible to more accurately explore the service perception of the MZ generation.

The Possibility of Being an Alternative as Uncontact Concert Format for BTS's Recent Online Concert Called "Bang Bang Con The Live" (BTS '방방콘 The Live'의 비접촉 콘서트로서의 대안 포맷 가능성)

  • Yu, An-Na;Lee, Jong-Oh
    • Journal of Korea Entertainment Industry Association
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    • v.14 no.5
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    • pp.27-35
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    • 2020
  • In 2020, one after another, musicians started to hold non-contact online concerts as the pop music industry began to shrink due to the unprecedented "Covid-19" incident, in seeking for various channels and alternatives. Taking this into account, this study conducted a survey with BTS' "Bang Bang Con The Live" as the subject that was held June 2020 to see if they were qualified as an alternative format for quarantine-focused non-contact concerts. The survey was carried out with the content analysis of online concert videos participated by music experts and by collecting evaluations and alternative suggestions from the audiences. The study showed that the sample performance video well fulfilled the actual feels of offline concert elements (field visualization, face-to-face interaction, and responsive behavior), satisfaction, and convenience as an alternative concert format as an emergency correspondence. However, it was analyzed that there was a serious lack of empathy and realism with fans. Therefore, the study showed the possibility that BTS' "Bangbangcon The Live" will function as an alternative format for non-contact concerts, but suggests that measures such as supplementing digital communication systems and technology devices must be taken to be recognized as a level of settlement in the global music community as well as in Korea.

Prediction Model of Hypertension Using Sociodemographic Characteristics Based on Machine Learning (머신러닝 기반 사회인구학적 특징을 이용한 고혈압 예측모델)

  • Lee, Bum Ju
    • KIPS Transactions on Software and Data Engineering
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    • v.10 no.11
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    • pp.541-546
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    • 2021
  • Recently, there is a trend of developing various identification and prediction models for hypertension using clinical information based on artificial intelligence and machine learning around the world. However, most previous studies on identification or prediction models of hypertension lack the consideration of the ideas of non-invasive and cost-effective variables, race, region, and countries. Therefore, the objective of this study is to present hypertension prediction model that is easily understood using only general and simple sociodemographic variables. Data used in this study was based on the Korea National Health and Nutrition Examination Survey (2018). In men, the model using the naive Bayes with the wrapper-based feature subset selection method showed the highest predictive performance (ROC = 0.790, kappa = 0.396). In women, the model using the naive Bayes with correlation-based feature subset selection method showed the strongest predictive performance (ROC = 0.850, kappa = 0.495). We found that the predictive performance of hypertension based on only sociodemographic variables was higher in women than in men. We think that our models based on machine leaning may be readily used in the field of public health and epidemiology in the future because of the use of simple sociodemographic characteristics.

Primary school teacher recognition for distance learning due to COVID-19 - Focusing on science classes - (COVID-19 상황에서 온라인 비대면 수업에 대한 초등교사의 인식 - 과학교과를 중심으로 -)

  • Kang, Eugene;Jeong, Dojun;Park, Jihun;Kim, Jina;Park, Jongseok;Nam, Jeonghee
    • Journal of Korean Elementary Science Education
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    • v.40 no.4
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    • pp.460-479
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    • 2021
  • The crisis of the COVID-19 pandemic has caused significant changes in education systems worldwide, including in Korea. Due to COVID-19's social distancing policies, the education system was suddenly switched to distance learning, resulting in many problems in primary schools without preparation. The purpose of this study was to investigate a teacher's awareness of science education techniques, responses to issues in science classes, including inquiry activities, advantages and disadvantages, and roles after experiencing distance learning. Survey and focus interviews were conducted for primary school teachers who had previously participated in distance learning, such as online content classes and real-time interactive classes. The study findings showed three conclusions: 1) Primary school teachers conducted one-way and interactive lectures in online classes. It is vital to improve a teacher's digital literacy to improve other teaching methods such as investigation and discussion in online classes. 2) Primary school teachers acknowledged the challenges of field feedback, inquiry item preparations, and safety in inquiry activities of science classes, by providing individual experimental packages and videos and using online discussion and feedback among teacher - student and student - student interactions. 3) Primary school teachers recognized that various types of classes using IT devices and individualized learning were possible as advantages of distance learning. As for disadvantages, it was acknowledged that inquiry activities, cooperative learning, immediate feedback, and interaction among students were challenging. Furthermore, learning gaps were wider in distance learning.

Understanding of Metaverse Platform Ecosystem: Focusing on the Theory of Double Lines and Five Elements (메타버스 플랫폼 생태계의 이해: 양선오요소(兩線五要素) 이론을 중심으로)

  • Lee, Seoyoun;Chang, Younghoon
    • Knowledge Management Research
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    • v.23 no.2
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    • pp.15-35
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    • 2022
  • With the development of virtual and augmented reality technologies, the metaverse, a digital world that provides an immersive feeling like the real world, is overgrowing. Many IT companies such as Naver, Facebook (Meta), and NVIDIA are developing innovative technologies and launching the Metaverse platform and related products on the market. However, even though it is a new business in which many global big tech companies are aggressively investing, the results are not yet precise compared to the market expectations, and the rate of increase in the number of users is gradually slowing down. This can be attributed to the lack of consideration and understanding about how to grow the metaverse ecosystem and operate & harmonize various users/components from the time the metaverse platform was designed. In order to propose a better solution to these problems, this study adopts the yin-yang and five elements theory, which was created to understand the operation logic and logic of the human world for thousands of years. This research would like to propose a theory of double lines-five elements by defining two essential spaces of the metaverse platform, online and offline, and five essential elements constituting the metaverse platform. This study intends to provide a theoretical lens on how to design and operate a platform through the double lines and five elements theory and the concept of coexistence and polarity between the five elements.