• Title/Summary/Keyword: IoT 관련 기업

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A Study on Accounting Information and Stock Price of IoT-related Companies after COVID-19 (코로나-19 이후 IoT 관련 기업의 회계정보와 주가에 관한 연구)

  • Lee, Sangho;Cho, Kwangmoon
    • Journal of Internet of Things and Convergence
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    • v.8 no.1
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    • pp.1-10
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    • 2022
  • The purpose of this study is to establish a foundation for IoT-related industries to secure financial soundness and to dominate the global market after COVID-19. Through this study, the quantitative management status of IoT-related companies was checked. It also was attempted to preemptively prepare for corporate insolvency by examining the relationship between financial ratios in accordance with stock price fluctuations and designation of management items. This study selected 502 companies that were listed on the KOSPI and KOSDAQ in the stock market from 2019 to 2020. For statistical analysis, multiple regression analysis, difference analysis and logistic regression analysis were performed. The research results are as follows. First, it was found that the impact of IoT company accounting information on stock prices differs depending on before and after COVID-19. Second, it was found that there is a difference in the closing stock prices of IoT companies before and after COVID-19. Third, it was found that financial ratios according to stock price fluctuations exist differently after COVID-19. Fourth, it was found that the financial ratios according to the designation of management items after COVID-19 exist differently. Through these studies, some suggestions were made to secure the financial soundness of IoT companies and to lay the groundwork for leaping into the global market after COVID-19. Through the results of this study, it is expected that it will lead the growth of IoT companies and contribute to growth as a decacorn company of the future that can guarantee financial soundness in the changing financial market.

'CES 2017'참관을 통한 IoT(Internet of Thing) 적용 제품 및 인터페이스 동향

  • Kim, Chan;Cha, Jae-Sang
    • Information and Communications Magazine
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    • v.34 no.2
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    • pp.6-11
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    • 2017
  • IoT 연구과제와 관련하여 향후 비즈니스에서 가장 중요한 근거가 되는 IoT 플랫폼을 스마트홈, 자동차 등에서 기업과 제품개발 동향을 살펴 보았다. IoT 플랫폼은 크게 가정을 중심으로 하는 스마트 홈, 이동 공간을 넘어 새로운 생활 공간으로 확장이 가능한 자동차 공간, 제품의 제조, 배송 등이 모두 이루어지는 스마트 팩토리 등으로 나누어질 수 있다. 이중 스마트 홈과 관련해서는 가정 내의 가전기기의 융합과 통합의 중심이 되는 역할을 어떤 기기, 어떤 방식의 인터페이스가 주도권을 잡아 갈지는 관련 기업들에게는 사활을 건 승부처가 된다. 그런 면에서 금번 전시회에서 아마존의 알렉사는 매우 중요한 음성인식 기반의 인터페이스로 부각되었다. 특히 향후 가정의 중심 기기가 무엇이든지 그 기기를 통합하는 인터페이스로 다양한 제휴 제품을 아마존이 아닌 다른 업체들로 하여금 소개할 수 있게 함으로써 향후 매우 중요한 위치를 잡았다고 볼 수 있다. 자율주행차는 아직까지 플랫폼으로 연결할 만큼 주도적인 사물인터넷 인터페이스는 선보이지 않았지만, 역시 알렉사 등이 포드, 현대, 도요다 등을 통해 채택된 것을 볼 수 있었고, 그 밖에 헬쓰케어와 연계한 차별화를 통해 꽤하는 것들도 볼 수 있었다. 다만 자율주행차가 새로운 생활 공간으로 자리잡기까지는 자율주행차의 상용화가 이루어질2020년 이후까지는 기다려야 할 것으로 보인다.

The Influence of IoT Technological Characteristics on Expected Achievement and Adoption Intention of SCM: On the Perspectives of Chinese Physical Supply Chain and Distribution Industry (사물인터넷(IoT) 기술특성이 SCM 기대성과 및 도입의도에 미치는 영향에 관한 연구: 중국 물류공급망 및 유통업체를 대상으로)

  • Shang Meng;Yong Ho Shin;Chul Woo Lee;Jun Ho Mun
    • Information Systems Review
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    • v.19 no.3
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    • pp.1-21
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    • 2017
  • The Internet of Things (IoT) analysis aims to verify the technical characteristics, performance expectations, and adoption intentions of IoT. This work refers to IoT data from foreign and domestic publications and websites as well as aims to benefit related organizations by referring to reports from agencies. The literature review summarizes the relevant theories and background of the unified theory of acceptance and use of technology. The SPSS 22.0 software and structural equation models (smart PLS 2.0) are used in the data analysis. Technical statistics analysis, reliability analysis, validity analysis, structural equation models, and statistical methods are employed to test the research hypotheses, that is, the technical characteristics of IoT will have positive effects on its performance expectations. This study introduces the characteristics and expected performance of IoT to present relevant IoT guidelines for companies that aim to adopt such technology.

The Study on Internet of Things(IoT) Ecosystem Analysis and Its Policy Direction in Gyeonggi Province (경기도 사물인터넷 생태계 분석을 통한 정책방향 수립에 관한 연구)

  • Kim, Myung Jin;Lee, Jihoon
    • Journal of the Economic Geographical Society of Korea
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    • v.19 no.1
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    • pp.18-32
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    • 2016
  • In the Hyper-connected society, each country set up its own policy and central government as well as provincial government makes a basic plan of developing IoT. Gyeonggi provincial government needs to cope actively with the changing international and national circumstances. The purpose of this paper is to frame policy as a provincial government with analysis IoT industry-academia-institute-governments ecosystem and in-depth interview. There are IoT related SMEs in Gyeonggi, especially manufacturing business and device fields. Universities are doing IoT researches by R&D funds from central as well as provincial governments. Central government-affiliated Institutions are researching. It is necessary for Gyeonggi provincial government to establish policy in order to actively operate IoT ecosystem while each innovation actors are cooperated in doing IoT; system/governce maintenance, environments and test-bed for the application.

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Hacking and Security Trends in IoT Devices (IoT 기기의 해킹 사건과 보안 동향)

  • Young-Sil Lee;Ga-Hyeon Lee;Hoon-Jae Lee
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.07a
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    • pp.219-220
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    • 2023
  • 현재 IoT 기기들은 일상생활에서 필수 가전기기가 되어가고 있다. 가정에서는 스마트홈으로 연결된 냉장고, 세탁기, 인공지능 스피커 등이 이미 많이 사용되고 있으며, 자율주행 차량과 키오스크 등 하루에도 매우 다양한 IoT 기기들을 가깝게 접하고 있다. 스마트 워치(Smart Watch)가 출시된 이후로는 IoT 기기가 매 순간 사용되며 사용자 개인정보와 사생활 등 중요하고 예민한 정보와 기업의 기밀 정보가 자동으로 기기에 저장되고 있다. 이러한 이유로 해커들의 타깃이 되어 새로운 해킹 수법이 발생하고 보안 취약점이 발견되고 있다. 본 논문에서는 IoT 기기에 관련하여 최근에 발생하는 해킹 사건들과 보안 취약점을 분석하고 이에 따른 대책을 알아보고자 한다.

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Changes in the Industrial Structure caused by the IoT and AI (사물인터넷과 AI가 가져올 산업구조의 변화)

  • Kim, Jang-Hwan
    • Convergence Security Journal
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    • v.17 no.5
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    • pp.93-99
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    • 2017
  • Recently IoT(Internet of Things) service industry has grown very rapidly. In this paper, we investigated the changes in IoT service industry as well as new direction of human life in future global society. Under these changing market conditions, competition has been also changed into global and ecological competition. But compared to the platform initiatives and ecological strategies of global companies, Korean companies' vision of building ecosystems is still unclear. In addition, there is a need of internetworking between mobile and IoT services. IoT security Protocol has weakness of leaking out information from Gateway which connected wire and wireless communication. As such, we investigate the structure of IoT and AI service ecosystem in order to gain strategic implications and insights for the security industry in this paper.

User Value Factors of Internet of Things(IoT) Service (사물인터넷 서비스의 사용자 가치 요인)

  • Park, Joo Hyun;Ryoo, Han Young
    • Journal of the HCI Society of Korea
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    • v.11 no.2
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    • pp.23-30
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    • 2016
  • The Internet of Things(IoT) market is growing exponentially as a core growth engine of the future. Major companies of the world are competitively providing the IoT services to dominate the IoT market first and create ecosystem around their companies. In order to establish the IoT services and contribute to the related industry, they will need to make efforts to provide the IoT services that the users desire, and which the users can have new experiences with. Thus, we attempted to draw out the user value factors to help successful IoT service development. For this purpose, we explored the meaning and concept of IoT, drew out a trend matrix of IoT through the literature review related to IoT and conducted a survey through the user values established by the literature related to IoT and the focus group interviews. As a result, we identified thirteen user value factors of the IoT services, which are manageability, relationship, familiarity, expandability, simplicity, entertainment, safety, economic feasibility, compensation, automation, rapidity, informativity and environment-friendliness. This study is expected to be used as a basic material in understanding the IoT services and as standards or assessment items to develop the IoT services that the users want.

A Method for Dynamic Clustering-based Efficient Management in Large-Scale IoT Environment (대규모 IoT 컴퓨팅 환경에서 동적 클러스터링 기반 효율적 관리 기법)

  • Kim, Dae Young;La, Hyun Jung
    • Journal of Internet Computing and Services
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    • v.15 no.6
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    • pp.85-97
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    • 2014
  • IoT devices that collect information for end users and provide various services like giving traffic or weather information to them that are located everywhere aim to raise quality of life. Currently, the number of devices has dramatically increased so that there are many companies and laboratories for developing various IoT devices in the world. However, research about IoT computing such as connecting IoT devices or management is at an early stage. A server node that manages lots of IoT device in IoT computing environment is certainly needed. But, it is difficult to manage lots of devices efficiently. However, anyone cannot surly know about how many servers are needed or where they are located in the environment. In this paper, we suggest a method that is a way to dynamic clustering IoT computing environment by logical distance among devices. With our proposed method, we can ensure to manage the quality in large-scale IoT environment efficiently.

Analysis on Big data, IoT, Artificial intelligence using Keyword Network (빅데이터, IoT, 인공지능 키워드 네트워크 분석)

  • Koo, Young-Duk
    • The Journal of the Korea institute of electronic communication sciences
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    • v.15 no.6
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    • pp.1137-1144
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    • 2020
  • This paper aims to provide strategic suggestions by analyzing technology trends related to big data, IoT, and artificial intelligence. To this end, analysis was performed using the 2018 national R&D information, and major basic analysis and language network analysis were performed. As a result of the analysis, research and development related to big data, IoT, and artificial intelligence are being conducted by focusing on the basic and development stages, and it was found that universities and SMEs have a high proportion. In addition, as a result of the language network analysis, it is judged that the related fields are mainly research for use in the smart farm and healthcare fields. Based on these research results, first, big data is essential to use artificial intelligence, and personal identification research should be conducted more actively. Second, they argued that full-cycle support is needed for technology commercialization, not simple R&D activities, and the need to expand application fields.

Blockchain-based Important Information Management Techniques for IoT Environment (IoT 환경을 위한 블록체인 기반의 중요 정보 관리 기법)

  • Yoon-Su Jeong
    • Advanced Industrial SCIence
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    • v.3 no.1
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    • pp.30-36
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    • 2024
  • Recently, the Internet of Things (IoT), which has been applied to various industrial fields, is constantly evolving in the process of automation and digitization. However, in the network where IoT devices are built, research on IoT critical information-related data sharing, personal information protection, and data integrity among intermediate nodes is still being actively studied. In this study, we propose a blockchain-based IoT critical information management technique that is easy to implement without burdening the intermediate node in the network environment where IoT is built. The proposed technique allocates a random value of a random size to the IoT critical information arriving at the intermediate node and manages it to become a decentralized P2P blockchain. In addition, the proposed technique makes it easier to manage IoT critical data by creating licenses such as time limit and device limitation according to the weight condition of IoT critical information. Performance evaluation and proposed techniques have improved delay time and processing time by 7.6% and 10.1% on average compared to existing techniques.