• Title/Summary/Keyword: mobile IoT device

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Application of the IoT Concept in the Field of Medical Devices: Development of a Prototype of a Mechanotherapeutic Simulator and Software for Its Control

  • Lasek, Mikhail Petrovich;Karmanov, Vladislav Nikolaevich;Makarov, Roman Vladimirovich;Makarov, Pavel Andreevich;Gryaznov, Dmitriy Yurievich;Ustyugov, Vladimir Aleksandrovich
    • International Journal of Computer Science & Network Security
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    • v.22 no.6
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    • pp.63-66
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    • 2022
  • The article discusses the application of the IoT concept in the sensitive field of medical devices on the example of a developed prototype of a mechanotherapeutic simulator. Mechanotherapy is a complex of therapeutic, preventive, and restorative exercises conducted using simulators, specially designed for developing movements in individual joints. Mechanotherapy is used for the early and painless restoration of joint mobility, to prevent complications associated with prolonged immobilization of the injured area of extremities. Using the mechanotherapy simulator allows developing the joint painlessly, which accelerates the metabolism in the injured area, and soft tissues are restored to normal. The article provides information about the electronic components that ensure the wireless operation of the device and describes in detail the applied software as well as the client application for a mobile device.

Smart Fog : Advanced Fog Server-centric Things Abstraction Framework for Multi-service IoT System (Smart Fog : 다중 서비스 사물 인터넷 시스템을 위한 포그 서버 중심 사물 추상화 프레임워크)

  • Hong, Gyeonghwan;Park, Eunsoo;Choi, Sihoon;Shin, Dongkun
    • Journal of KIISE
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    • v.43 no.6
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    • pp.710-717
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    • 2016
  • Recently, several research studies on things abstraction framework have been proposed in order to implement the multi-service Internet of Things (IoT) system, where various IoT services share the thing devices. Distributed things abstraction has an IoT service duplication problem, which aggravates power consumption of mobile devices and network traffic. On the other hand, cloud server-centric things abstraction cannot cover real-time interactions due to long network delay. Fog server-centric things abstraction has limits in insufficient IoT interfaces. In this paper, we propose Smart Fog which is a fog server-centric things abstraction framework to resolve the problems of the existing things abstraction frameworks. Smart Fog consists of software modules to operate the Smart Gateway and three interfaces. Smart Fog is implemented based on IoTivity framework and OIC standard. We construct a smart home prototype on an embedded board Odroid-XU3 using Smart Fog. We evaluate the network performance and energy efficiency of Smart Fog. The experimental results indicate that the Smart Fog shows short network latency, which can perform real-time interaction. The results also show that the proposed framework has reduction in the network traffic of 74% and power consumption of 21% in mobile device, compared to distributed things abstraction.

Design and development of collaboration system for enterprise based on Beacon (비콘기반의 기업용 협업 시스템 설계 및 구축)

  • Oh, Seung-Hwan;Seo, Jae-Bong;Kim, Yong-Woo;Lee, Jun-Wook
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.05a
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    • pp.287-289
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    • 2015
  • Internet of Things(IoT) is promising futuristic technology and the relevant market is expected to grow explosively. So, many company develop the product or service that is applied IoT in various fields. The objective of this paper is design and development of collaboration system for enterprise based on beacon to improve efficiency in office environment. We construct Indoor Positioning System(IPS) that using by beacon and mobile device and then develop the related service that utilize IPS data. Thus, we expect that this study contribute to improving productivity of domestic company, is used widely to develop new IoT service that applying various sensors such as beacon, temperature, humidity and so on.

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A Study on Selection of Bicycle Road Hazard Detection Elements For Mobile IoT Sensor Device Operation (이동형 IoT 센서 장비 운용을 위한 자전거도로 위험 감지요소 선정 연구)

  • Woochul Choi;Bong-Joo Jang;Sun-Kyum Kim;Intaek Jung
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.23 no.4
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    • pp.37-53
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    • 2024
  • This study selected bicycle road hazard detection factors for mobile IoT sensor device operation and developed service application plans. Twelve bicycle road hazard detection factors were derived through a focused group interview, and a fuzzy AHP-based importance analysis was conducted on 30 road and transportation experts. As a result, 'damage to pavement' (1st overall) and 'environmental obstacle' (2nd) with low visibility but a high risk of accidents were selected the most. The factors in terms of facility management, such as 'disconnected route occurrence' (4th), 'artificial obstacle' (5th), 'effective width' (6th), and 'poor drainage' (7th), were selected as the upper and middle areas. Factors that are not direct accident-inducing factors, such as 'loss of road markings' (11th) and 'free space width' (12th), were selected the least. Based on this, a plan was presented to apply the bicycle road hazard detection service and a service operation strategy according to real-time performance. Nevertheless, follow-up studies, such as human behavioral analysis based on bicycle operators, analysis according to the bicycle road type, service demonstration, and pilot operation, will be needed to develop safe bicycle road management is expected.

Development of Facility Management System for Indoor Space Based on ICBM Technology (ICBM기반 실내 공간 유지관리 시스템 개발)

  • Jung, Yoo-Seok;Kang, Tae-Wook
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.3
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    • pp.49-55
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    • 2019
  • An open office or a shared office is emerging as the emphasis on the collaborative and communicative work environments is increasing. In the past, the user maintained the space, but the maintenance of indoor space became difficult because there is no fixed user. Indoor space information can be collected using the ICBM framework system. The facility management can achieve this with data. Therefore, this study proposed a framework based on ICBM (Internet of Things, Cloud, Big Data, and Mobile) for verifying the possibility of a smart facility management system for indoor space. IoT (Internet of Things) technology was used to measure the indoor temperature, humidity, occupancy, and brightness continuously, and provided the data to Web API via WiFi. Data acquired automatically via IoT, existing maintenance data, and spatial information were integrated through the Cloud. Big data collected by sensors were processed as meaningful spatial information for maintenance. Indoor space information and maintenance information can be delivered to the manager through the mobile. Based on the collected data, room occupancy recognition is limited due to a range of ultrasonic wave sensors. On the other hand, brightness represents the space conditions. The difference between lighting on/off, weekday and weekend can be shown. The temperature data and the relative humidity data were collected steadily to evaluate the comfort.

Energy-Efficient Biometrics-Based Remote User Authentication for Mobile Multimedia IoT Application

  • Lee, Sungju;Sa, Jaewon;Cho, Hyeonjoong;Park, Daihee
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.12
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    • pp.6152-6168
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    • 2017
  • Recently, the biometric-based authentication systems such as FIDO (Fast Identity Online) are increased in mobile computing environments. The biometric-based authentication systems are performed on the mobile devices with the battery, the improving energy efficiency is important issue. In the case, the size of images (i.e., face, fingerprint, iris, and etc.) affects both recognition accuracy and energy consumption, and hence the tradeoff analysis between the both recognition accuracy and energy consumption is necessary. In this paper, we propose an energy-efficient way to authenticate based on biometric information with tradeoff analysis between the both recognition accuracy and energy consumption in multimedia IoT (Internet of Things) transmission environments. We select the facial information among biometric information, and especially consider the multicore-based mobile devices. Based on our experimental results, we prove that the proposed approach can enhance the energy efficiency of GABOR+LBP+GRAY VALUE, GABOR+LBP, GABOR, and LBP by factors of 6.8, 3.6, 3.6, and 2.4 over the baseline, respectively, while satisfying user's face recognition accuracy.

Information Security Research for Smartwork System (Smartwork System을 위한 정보보호연구)

  • Cheon, Jae-Hong;Park, Dae-Woo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.05a
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    • pp.323-325
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    • 2016
  • Computing loud arrival times were, important data Clouding and, without being limited to the device, may process the information. Recently, work environment and improved access to Cloud and Mobile, this decision has been made to take effect immediately. However, when such important decisions of the government, the security is required. In this paper, we study the network access and control in IoT, Cloud, Bigdata, Smartwork System applied to Mobile. Study the authentication, authorization, and security for each security level Level of Service to connect to the DB information. Research of this paper will be used as the basis for the information processing and decision-making system design and construction of public institutions and agencies as important information for the protection Smartwork System.

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Analysis of the Routing Path Tracking Technology for Mobility Host (이동성 호스트를 위한 라우팅 경로 추적 기술 분석)

  • Park, Jin-tae;Phyo, Gyung-soo;Moon, Il-young
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.05a
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    • pp.638-640
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    • 2016
  • Recently, Humanity enter the super-connection generation that linking human and things as a result of the development ICT technologies. IoT technology is growing rapidly as a result of IoT technology appearance and development of smart device, technology expansion, the spread of smart sensors, spread diffusion of smart devices, construction of a variety of network. These techniques are applied to those having a mobility is growing importance of network technology. Real-time service and features, such as the accuracy of the data it became important. In order to implement the IoT will need to take into account IP, security, a lot of things such as a service model, but in this paper, want to discuss mobility, for the tracking technology of routing path for efficient service delivery of the host. Therefore, in this paper, the routing path that is currently study examined the tracking technology, we try to refer to routing method of the future of the mobile host.

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Gender Classification System Based on Deep Learning in Low Power Embedded Board (저전력 임베디드 보드 환경에서의 딥 러닝 기반 성별인식 시스템 구현)

  • Jeong, Hyunwook;Kim, Dae Hoe;Baddar, Wisam J.;Ro, Yong Man
    • KIPS Transactions on Software and Data Engineering
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    • v.6 no.1
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    • pp.37-44
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    • 2017
  • While IoT (Internet of Things) industry has been spreading, it becomes very important for object to recognize user's information by itself without any control. Above all, gender (male, female) is dominant factor to analyze user's information on account of social and biological difference between male and female. However since each gender consists of diverse face feature, face-based gender classification research is still in challengeable research field. Also to apply gender classification system to IoT, size of device should be reduced and device should be operated with low power. Consequently, To port the function that can classify gender in real-world, this paper contributes two things. The first one is new gender classification algorithm based on deep learning and the second one is to implement real-time gender classification system in embedded board operated by low power. In our experiment, we measured frame per second for gender classification processing and power consumption in PC circumstance and mobile GPU circumstance. Therefore we verified that gender classification system based on deep learning works well with low power in mobile GPU circumstance comparing to in PC circumstance.

A Self-Reconfigurable System of Contents among Smart Devices

  • Ren, Hao;Kim, Paul;Kim, Sangwook
    • Journal of Multimedia Information System
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    • v.2 no.2
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    • pp.223-232
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    • 2015
  • In this system, mobile devices are not independent, they can communicate with each other, one device's change can affect the whole system or other devices. To achieve the above mentioned A Self-Reconfigurable System of Contents, through discover the device and connect process, to establish the connection between the mobile devices. After user assigns two dimension display type, the user can select content to input the system, contents are portioning and broadcast to devices. The system can self-reconfigure contents rapidly and exactly. This technique supports contents self-reconfiguration for devices remove, addition and position exchange. In this paper, when the user uses the hand contacts device, the device sends a signal to assist the system to detection device's position. The system does not need to get accurate devices moving direction, just according to all changed devices position to judge where the devices destination is. This research develops an application according to this technique, and the real machine tests the application using Android platform. Some communication protocols and mathematical modeling methods are proposed. These methods can also be used in other Internet of Things (IoT) fields, such as Drones Navigation, Smart Home, and Informational City management.