• Title/Summary/Keyword: Mobile IoT

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Energy-efficient offloading to ensure reliability in IIoT scenarios (IIoT 시나리오에서 신뢰성을 보장하는 에너지 효율적인 오프로딩)

  • Koo, Seolwon;Lim, Yujin
    • Annual Conference of KIPS
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    • 2021.05a
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    • pp.70-73
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    • 2021
  • Mobile Edge Computing(MEC)는 사용자 근처에서 서비스를 제공하기 때문에 사물인터넷에서 주목받고 있는 기술이다. 오프로딩을 통한 MEC 서버의 활용은 제한된 배터리 수명이나 계산 능력을 갖는 디바이스들에게 매우 유용하다. 본 논문은 강한 신뢰도가 요구되는 산업 사물인터넷(Industrial IoT, IIoT) 시나리오를 가정하여, 태스크를 실행할 때 발생하는 에너지 소모량과 지연시간을 최적화하며 신뢰도를 보장하는 오프로딩 기법을 제시한다. 본 연구는 실험을 통해 에너지 소모량과 신뢰성 측면에서 제안 기법의 성능을 분석하였다.

Analysis of Small Cell Technology Application for Performance Improvement in Simulation-based 5G Communication Environment (시뮬레이션 기반 5G 통신 환경에서 성능향상을 위한 스몰셀 기술 적용 분석)

  • Kim, Yoon Hwan;Kim, Tae Yeun;Lee, Dae Young;Bae, Sang Hyun
    • Smart Media Journal
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    • v.9 no.2
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    • pp.16-21
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    • 2020
  • Recently, mobile traffic is increasing exponentially as major traffic is transferred to IoT and visual media data in the dissemination of mobile communication terminals and contents use. In order to overcome the limitations of the existing LTE system, 5G mobile communication technology (5G) is a technology that meets 1000 times data traffic capacity, 4G LTE system acceptance, low latency, high energy efficiency, and high cost compared to 4G LTE system. The path loss due to the use of the frequency domain is very high, so it may be difficult to provide a service compared to the existing 4G LTE system. To overcome these shortcomings, various techniques are under study. In this paper, small cell technology is introduced to improve the system performance of 5G mobile communication systems. The performance is analyzed by comparing the results of small cell technology application, macro communication and small cell communication, and the results of the proposed algorithm application for power control. The analysis results show that the use of small cell technology in the 5th generation mobile communication system can significantly reduce the shadow area and reduce the millimeter wave path loss problem.

A Study on the Design of Low-Code and No Code Platform for Mobile Application Development

  • Chang, Young-Hyun;Ko, Chang-Bae
    • International journal of advanced smart convergence
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    • v.6 no.4
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    • pp.50-55
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    • 2017
  • Workers' demands for new applications, especially mobile applications, are increasing. Many industry analysts, researchers and corporate executives say the demand for mobile applications is becoming increasingly difficult to follow in the IT department. Gartner predicts that by 2021, the demand for mobile application development within the enterprise will increase about five times faster than IT can deliver applications. The purpose of this paper is to provide an environment where non-developers who are in charge of business development can develop apps and webs for their work. The basic concept of a new innovative App development tool, Smart Maker Authoring Tool is to develop Apps on the level using easy-to-learn Word or Excel in a computer. The main feature is that the app is developed by a non-developer worker. The coding technology is perfectly optimized to the structure and operation mechanism of the IT Infra such as hardware devices and operating system, which are the targets for implementing a desired function. Rather, it shows excellent software productivity. The most important feature of future business development is that it is developed by a non-developer worker. In this paper, we propose a no-code and low-code platform for non - developers to develop their business. In the future, we will link the IoT based Arduino system and artificial intelligent interpretation system.

Requirement Analysis for Agricultural Meteorology Information Service Systems based on the Fourth Industrial Revolution Technologies (4차 산업혁명 기술에 기반한 농업 기상 정보 시스템의 요구도 분석)

  • Kim, Kwang Soo;Yoo, Byoung Hyun;Hyun, Shinwoo;Kang, DaeGyoon
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.21 no.3
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    • pp.175-186
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    • 2019
  • Efforts have been made to introduce the climate smart agriculture (CSA) for adaptation to future climate conditions, which would require collection and management of site specific meteorological data. The objectives of this study were to identify requirements for construction of agricultural meteorology information service system (AMISS) using technologies that lead to the fourth industrial revolution, e.g., internet of things (IoT), artificial intelligence, and cloud computing. The IoT sensors that require low cost and low operating current would be useful to organize wireless sensor network (WSN) for collection and analysis of weather measurement data, which would help assessment of productivity for an agricultural ecosystem. It would be recommended to extend the spatial extent of the WSN to a rural community, which would benefit a greater number of farms. It is preferred to create the big data for agricultural meteorology in order to produce and evaluate the site specific data in rural areas. The digital climate map can be improved using artificial intelligence such as deep neural networks. Furthermore, cloud computing and fog computing would help reduce costs and enhance the user experience of the AMISS. In addition, it would be advantageous to combine environmental data and farm management data, e.g., price data for the produce of interest. It would also be needed to develop a mobile application whose user interface could meet the needs of stakeholders. These fourth industrial revolution technologies would facilitate the development of the AMISS and wide application of the CSA.

A Study on the Design of Network System for Defense Integrated Data Center Using NFV/SDN (NFV/SDN을 활용한 군(軍) 데이터센터 네트워크 체계 설계에 관한 연구)

  • Chae, Woong;Kwon, Taewook
    • KIPS Transactions on Computer and Communication Systems
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    • v.9 no.2
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    • pp.31-36
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    • 2020
  • The creation of the Defense Integrated Data Center(DIDC) has resulted in a reduction in manpower, operating costs, efficient and effective management of resources. However, it is difficult to effectively collect and manage the data of a large number of battlefields coming from equipments such as drones, robots, and IoT added to the fourth industrial revolution and the future battlefield. Therefore, we will propose the design of DIDC network system using NFV and SDN, which are emerging as the core technologies of 5G, a mobile communication technology. After analyzing the data sheet of each equipment, it is considered that by integrating the redundant functions, energy efficiency, resource utilization and effective network management will be possible.

Distributing Board Monitoring System based on Internet of Things (사물인터넷 기반 수배전반 상태 모니터링 시스템)

  • Lee, Young-Dong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.1
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    • pp.200-206
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    • 2016
  • It is necessary to develop a real-time monitoring system for electric facilities, operating and managing system for the accident prevention of electrical demand facilities anytime, anywhere. In this paper, we propose the implementation of distributing board monitoring system based on Internet of Things(IoT). The proposed system is installed in existing distributing board that it can transmit status information of distributing board and control information through the cloud server and the wireless local area network. The distributing board monitoring system can monitor and control the condition of distributing board by system administrator. The results show that the margin of error was ${\pm}5%$ in performance evaluation.

How to Sustain Smart Connected Hospital Services: An Experience from a Pilot Project on IoT-Based Healthcare Services

  • Park, Arum;Chang, Hyejung;Lee, Kyoung Jun
    • Healthcare Informatics Research
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    • v.24 no.4
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    • pp.387-393
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    • 2018
  • Objectives: This paper describes an experience of implementing seamless service trials online and offline by adopting Internet of Things (IoT) technology based on near-field communication (NFC) tags and Bluetooth low-energy (BLE) beacons. The services were provided for both patients and health professionals. Methods: The pilot services were implemented to enhance healthcare service quality, improve patient safety, and provide an effective business process to health professionals in a tertiary hospital in Seoul, Korea. The services to enhance healthcare service quality include healing tours, cancer information/education, psychological assessments, indoor navigation, and exercise volume checking. The services to improve patient safety are monitoring of high-risk inpatients and delivery of real-time health information in emergency situations. In addition, the services to provide an effective business process to health professionals include surveys and web services for patient management. Results: Considering the sustainability of the pilot services, we decided to pause navigation and patient monitoring services until the interference problem could be completely resolved because beacon signal interference significantly influences the quality of services. On the other hand, we had to continue to provide new wearable beacons to high-risk patients because of hygiene issues, so the cost increased over time and was much higher than expected. Conclusions: To make the smart connected hospital services sustainable, technical feasibility (e.g., beacon signal interference), economic feasibility (e.g., continuous provision of new necklace beacons), and organizational commitment and support (e.g., renewal of new alternative medical devices and infrastructure) are required.

Design and implementation of IoT platform for collecting and managing the SmartFactory environment information

  • Kim, SungJin;Ra, SangYong;Kim, HwanSeog;Choi, JaeHong;Lee, JunDong
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.6
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    • pp.109-115
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    • 2019
  • Smart Factory is a part of and a key point of the 4th industrial revolution. It performs optimization from the whole viewpoint, using comprehensive data of the post-process data by utilizing various sensors, controllers, and mobile devices beyond the existing factory automation level. In this paper, we design and implement an IoT platform that can detect the safety factors of the workers, the environmental factors of the factory, and real time monitoring at the control center, among the fields to implement smart factory. To accomplish this, we construct a monitoring device that provides sensor information control, server transmission of sensor information, and visualization of collected information. By using this system, it is possible to maintain the temperature and humidity for the optimum working environment in the factory. and also, By using the beacon, it is possible to measure the working time of the worker and trace the position.

A Study on the Local Particulate Matter Monitoring Technology using Shared-Use Mobilities for Metaverse Reality (메타버스 리얼리티를 위한 공유 모빌리티 기반 국부적 미세먼지 관측 기술 연구)

  • Jung, In Taek;Jang, Bong-Joo
    • Journal of Korea Multimedia Society
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    • v.24 no.8
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    • pp.1138-1148
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    • 2021
  • In this study, we developed a 'shared-use mobility'-mounted local particulate matter monitoring terminal technology to measure the actual particulate matter concentration around me. As a mobile terminal device in the form of an IoT sensor platform, it is designed to be separated into a control module and a sensor module to minimize interference between sensors and to consider the optimal observation position of each sensor. As a result of the field test, it was confirmed that particulate matter was locally different depending on time and space even within the same area. In addition, it was confirmed that the concentration of particulate matter in the relevant section differed by up to 100 times compared to the surrounding area due to specific sources of particulate matter such as unpaved roads. In addition, we positively reviewed the applicability of the service in the real-time metaverse environment using this result. Through technological advancement and application of multiple shared-use mobilities, we expect to be able to provide new services for practical smart city air environment monitoring, such as localized particulate matter information, air pollution event information, and identification of causes of particulate matter.

IoT based Wearable Smart Safety Equipment using Image Processing (영상 처리를 이용한 IoT 기반 웨어러블 스마트 안전장비)

  • Hong, Hyungi;Kim, Sang Yul;Park, Jae Wan;Gil, Hyun Bin;Chung, Mokdong
    • IEMEK Journal of Embedded Systems and Applications
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    • v.17 no.3
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    • pp.167-175
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    • 2022
  • With the recent expansion of electric kickboards and bicycle sharing services, more and more people use them. In addition, the rapid growth of the delivery business due to the COVID-19 has significantly increased the use of two-wheeled vehicles and personal mobility. As the accident rate increases, the rule related to the two-wheeled vehicles is changed to 'mandatory helmets for kickboards and single-person transportation' and was revised to prevent boarding itself without driver's license. In this paper, we propose a wearable smart safety equipment, called SafetyHelmet, that can keep helmet-wearing duty and lower the accident rate with the communication between helmets and mobile devices. To make this function available, we propose a safe driving assistance function by notifying the driver when an object that interferes with driving such as persons or other vehicles are detected by applying the YOLO v5 object detection algorithm. Therefore it is intended to provide a safer driving assistance by reducing the failure rate to identify dangers while driving single-person transportation.