• Title/Summary/Keyword: smart convergence

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Metformin ameliorates bile duct ligation-induced acute hepatic injury via regulation of ER stress

  • Lee, Chi-Ho;Han, Jung-Hwa;Kim, Sujin;Lee, Heejung;Kim, Suji;Nam, Dae-Hwan;Cho, Du-Hyong;Woo, Chang-Hoon
    • BMB Reports
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    • v.53 no.6
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    • pp.311-316
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    • 2020
  • Cholestasis is a condition in which the bile duct becomes narrowed or clogged by a variety of factors and bile acid is not released smoothly. Bile acid-induced liver injury is facilitated by necrotic cell death, neutrophil infiltration, and inflammation. Metformin, the first-line treatment for type 2 diabetes, is known to reduce not only blood glucose but also inflammatory responses. In this study, we investigated the effects of metformin on liver injury caused by cholestasis with bile acid-induced hepatocyte injury. Static bile acid-induced liver injury is thought to be related to endoplasmic reticulum (ER) stress, inflammatory response, and chemokine expression. Metformin treatment reduced liver injury caused by bile acid, and it suppressed ER stress, inflammation, chemokine expression, and neutrophil infiltration. Similar results were obtained in mouse primary hepatocytes exposed to bile acid. Hepatocytes treated with tauroursodeoxycholic acid, an ER stress inhibitor, showed inhibition of ER stress, as well as reduced levels of inflammation and cell death. These results suggest that metformin may protect against liver injury by suppressing ER stress and inflammation and reducing chemokine expression.

Recent trends of smart applications and implications for digital policy (스마트 어플리케이션 동향과 디지털 정책 시사점)

  • Han, Hyun-Soo;Woo, Jeong-Ah
    • Journal of Digital Convergence
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    • v.10 no.1
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    • pp.1-10
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    • 2012
  • In this paper, we review recently emerging smart applications, and analyzed policy implications in light of digital convergence perspective. While extant literatures on smart applications mainly dealt with consumer behaviors based in technology acceptance model or innovation adoption, the research on digital management policy is rather limited. We intend to fill this research gap. As such, we first organize two categories of smart work and smart commerce, and investigate the representative service models, four service models were reviewed for each category respectively. Next, the three policy related constructs are extracted, which are QoL(Quality of Life), public impacts in both the positive and negative ways. Finally, empirical analysis following the Delphi principle was conducted to investigate the policy implications. The results offer useful insights for the further research in digital convergence related policy areas.

Analysis of Expectation Factors for the Activation of Smart Farms for ICT Technology Convergence in Response to COVID-19 (COVID-19 대응 ICT 기술융합 스마트팜 활성화에 따른 기대요인 분석)

  • Park, Byung Kwon;Choi, Hyung Rim;Kang, Da Yeon
    • The Journal of Information Systems
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    • v.31 no.2
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    • pp.45-62
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    • 2022
  • Purpose Smart farms play a leading role in changing the safety food culture for the citizens. The purpose of this study is to investigate the factors that are important to covid 19-response in the case of ICT smart farm. To do so, we classified the factors as operating effect aspect and industrial wave effect aspect of the smart farm. Design/methodology/approach This study was conducted by visiting Geumsan County, which is attempting to perform a smart farm. Through interviewing farmers representatives based on their operational effect expectations on the smart farm, we derived the industrial crash effect factors and thereafter designed the research model. This study applied AHP, which is an expert decision-making method cans be used to measure relative importance for determining priorities. After interviewing the experts with smart farm, we obtained the factors which are important to smart farm development. Findings According to analysis, the productivity improvement factor was ranked as the most important among the operational effect items. This is consistent with the ultimate goal of smart farms with ICT convergence technology, which is increase the profitability of agriculture. The second place is the factor in the development of infrastructure and infrastructure, and the third and fifth positions were export expansion, environmentally friendly management, and job creation in terms of operational effectiveness.

Analysis on the Organizational System of Smart Cities in Local Government (지방자치단체 스마트도시 조직체계 문제점 분석)

  • Choi, Kwangmook;Cha, Gichun;Yu, Byoungjoon;Park, Jihwan;Im, Junghyun;Park, Sehwan;Park, Seunghee
    • Journal of Korean Society of Disaster and Security
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    • v.11 no.1
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    • pp.15-22
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    • 2018
  • Smart City is a sustainable city that provides a variety of city services to cities that are built with a mix of construction, information and communication technologies, etc. to improve the competitiveness and quality of life of the city. In this paper, we analyze trends of domestic and foreign smart cities and the smart city organization of local governments, and describe the direction of local government's smart city organization system to realize sustainable smart city.

Designing and Utilizing a Smart Factory Roadmap for CEOs: Leveraging from University-Industry Research Collaboration (경영자를 위한 스마트팩토리 구축 로드맵 설계 및 활용)

  • Park, Jongpil
    • Journal of the Korean Society of Industry Convergence
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    • v.21 no.6
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    • pp.285-299
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    • 2018
  • Recently much attention in building smart factory has been dramatically increased. Despite the growing interest in smart factory, few practical guidelines exist how to successfully build smart factory. The purpose of this study is to postulate and develop a road map for building successful smart factory. To enhance mundane realism, we design the road map through University-Industry research collaboration. Specifically, drawing analysis of University-Industry research collaboration, we design a prototype and detailed road map or building successful smart factory. Moreover, we apply the road map into actual smart factory development. By doing so, we successfully prove the effectiveness of the road map. Therefore, this study provides the valuable guidelines and directions to build a successful smart factory. Ultimately this study is able to help a variety of factories which establish and implement smart factory. Further, we hope that this study will be placed to be an important foundation research on behalf of smart factory building.

A Long-Range Touch Interface for Interaction with Smart TVs

  • Lee, Jaeyeon;Kim, DoHyung;Kim, Jaehong;Cho, Jae-Il;Sohn, Joochan
    • ETRI Journal
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    • v.34 no.6
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    • pp.932-941
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    • 2012
  • A powerful interaction mechanism is one of the key elements for the success of smart TVs, which demand far more complex interactions than traditional TVs. This paper proposes a novel interface based on the famous touch interaction model but utilizes long-range bare hand tracking to emulate touch actions. To satisfy the essential requirements of high accuracy and immediate response, the proposed hand tracking algorithm adopts a fast color-based tracker but with modifications to avoid the problems inherent to those algorithms. By using online modeling and motion information, the sensitivity to the environment can be greatly decreased. Furthermore, several ideas to solve the problems often encountered by users interacting with smart TVs are proposed, resulting in a very robust hand tracking algorithm that works superbly, even for users with sleeveless clothing. In addition, the proposed algorithm runs at a very high speed of 82.73 Hz. The proposed interface is confirmed to comfortably support most touch operations, such as clicks, swipes, and drags, at a distance of three meters, which makes the proposed interface a good candidate for interaction with smart TVs.

A Case Study on Foreign Intelligent Transport System (지능형 교통 시스템의 해외 사례 연구)

  • Lee, Dong-Woo
    • Journal of Digital Convergence
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    • v.12 no.6
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    • pp.259-264
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    • 2014
  • Digital convergence means a service or new product which appeared through fusion of unit technologies in information and communication regions. In 2011, The Government introduced "IT Convergence Technology Prediction Survey 2025". Smart mobility is a main factor in smart city which is main example of convergence. A intelligent transport system(ITS) is a key factor of smart mobility. The conventional transport systems include road, car, signal systems. But the ITS is a transport system containing additional technologies such as electronics, control, communication to increase traffic safety and effectiveness of traffic facilities. In this paper, we described intelligent transport system related with our life.

Case study on Smart Safety Technology Application To Confined Space (밀폐공간에서 스마트 안전기술 적용 사례 연구)

  • Jung, Tae-hoi;So, Han-sub;Seo, Kyeong-deuk;Jin, Jeong-il;Park, Kyo-shik
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • v.31 no.4
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    • pp.503-509
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    • 2021
  • Objectives: The utility of the system was analyzed by applying the smart safety technology system to the aging pipe rehabilitation facility construction classified as a confined space. Methods: Smart safety management system was applied to a site where the aging pipe rehabilitation work was in progress. The working environment was measured for 25 days, and the toxic gas saturation was analyzed according to the working time and working place. Results: Based on the measured results, two characteristic environmental changes in the confined space were confirmed. First, when working inside an aging pipe, the tendency of carbon dioxide saturation increases with working time and the number of workers. Second, oxygen decreases when working in a space away from the entrance. Conclusions: Various applications of smart safety technology have been confirmed based on the measured data, and this is expected to be useful for environmental characteristic analysis and safety management when applied to a confined space composed with various conditions in the future.

Deep Learning-Based Smart Meter Wattage Prediction Analysis Platform

  • Jang, Seonghoon;Shin, Seung-Jung
    • International journal of advanced smart convergence
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    • v.9 no.4
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    • pp.173-178
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    • 2020
  • As the fourth industrial revolution, in which people, objects, and information are connected as one, various fields such as smart energy, smart cities, artificial intelligence, the Internet of Things, unmanned cars, and robot industries are becoming the mainstream, drawing attention to big data. Among them, Smart Grid is a technology that maximizes energy efficiency by converging information and communication technologies into the power grid to establish a smart grid that can know electricity usage, supply volume, and power line conditions. Smart meters are equient that monitors and communicates power usage. We start with the goal of building a virtual smart grid and constructing a virtual environment in which real-time data is generated to accommodate large volumes of data that are small in capacity but regularly generated. A major role is given in creating a software/hardware architecture deployment environment suitable for the system for test operations. It is necessary to identify the advantages and disadvantages of the software according to the characteristics of the collected data and select sub-projects suitable for the purpose. The collected data was collected/loaded/processed/analyzed by the Hadoop ecosystem-based big data platform, and used to predict power demand through deep learning.

Exploration of Smart Work Benefits from the Perspectives of Individual, Firm, and Social Support (개인, 기업, 사회적 지원 관점에서 스마트워크 효용 탐색)

  • Han, Hyun-Soo;Woo, Jeong-Ah
    • Journal of Information Technology Services
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    • v.11 no.2
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    • pp.147-167
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    • 2012
  • In this paper, we attempted to theorize the multi-faceted impacts of smart work on economic activities. In this vein, we adopted socio-economic perspective which includes individual, firm, and social support aspects, and explored the variables related to the quality of life among them. First, smart work patterns are categorized as telework, mobile office, teleconferencing, and social collaboration. And relevant variables are extracted with reference to industrial cases and relevant literatures which investigated economic impacts of digital convergence. Next, with the data collected from experts, following delphi method, validation of variables and explorations of significant factors affecting quality of life were conducted by adopting stepwise regression method. The distinguishing traits of this research are two-folds. The one is the investigation of social support and quality of life aspects of smart work, which has been relatively limited in the digital convergence research field. The other is the comparative analysis of smart work advantages by distinguishing individual and firm aspects separately. The result offers useful insights for socio-economic perspective researches on digital convergence application area.