• 제목/요약/키워드: embedded smart sensor

검색결과 179건 처리시간 0.039초

Networked Robots using ATLAS Service-Oriented Architecture in the Smart Spaces

  • Helal, Sumi;Bose, Raja;Lim, Shin-Young;Kim, Hyun
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제8권4호
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    • pp.288-298
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    • 2008
  • We introduce new type of networked robot, Ubiquitous Robotic Companion (URC), embedded with ATLAS Service-oriented architecture for enhancing the space sensing capability. URC is a network-based robotic system developed by ETRI. For years of experience in deploying service with ATLAS sensor platform for elder and people with special needs in smart houses, we need networked robots to assist elder people in their successful daily living. Recently, pervasive computing technologies reveals possibilities of networked robots in smart spaces, consist of sensors, actuators and smart devices can collaborate with the other networked robot as a mobile sensing platform, a complex and sophisticated actuator and a human interface. This paper provides our experience in designing and implementing system architecture to integrate URC robots in pervasive computing environments using the University of Florida's ATLAS service-oriented architecture. In this paper, we focus on the integrated framework architecture of URC embedded with ATLAS platform. We show how the integrated URC system is enabled to provide better services which enhance the space sensing of URC in the smart space by applying service-oriented architecture characterized as flexibility in adding or deleting service components of Ubiquitous Robotic Companion.

An App Visualization design based on IoT Self-diagnosis Micro Control Unit for car accident prevention

  • Jeong, YiNa;Jeong, EunHee;Lee, ByungKwan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권2호
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    • pp.1005-1018
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    • 2017
  • This paper proposes an App Visualization (AppV) based on IoT Self-diagnosis Micro Control Unit (ISMCU) for accident prevention. It collects a current status of a vehicle through a sensor, visualizes it on a smart phone and prevents vehicles from accident. The AppV consists of 5 components. First, a Sensor Layer (SL) judges noxious gas from a current vehicle and a driver's driving habit by collecting data from various sensors such as an Accelerator Position Sensor, an O2 sensor, an Oil Pressure Sensor, etc. and computing the concentration of the CO collected by a semiconductor gas sensor. Second, a Wireless Sensor Communication Layer (WSCL) supports Zigbee, Wi-Fi, and Bluetooth protocol so that it may transfer the sensor data collected in the SL to ISMCU and the data in the ISMCU to a Mobile. Third, an ISMCU integrates the transferred sensor information and transfers the integrated result to a Mobile. Fourth, a Mobile App Block Programming Tool (MABPT) is an independent App generation tool that changes to visual data just the vehicle information which drivers want from a smart phone. Fifth, an Embedded Module (EM) records the data collected through a Smart Phone real time in a Cloud Server. Therefore, because the AppV checks a vehicle' fault and bad driving habits that are not known from sensors and performs self-diagnosis through a mobile, it can reduce time and cost spending on accidents caused by a vehicle's fault and noxious gas emitted to the outside.

저비용 네트워크 기반 임베디드 시스템을 위한 시간동기 기술 (Fault-tolerant clock synchronization for low-cost networked embedded systems)

  • 이동익
    • 센서학회지
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    • 제16권1호
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    • pp.52-61
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    • 2007
  • Networked embedded systems using the smart device and fieldbus technologies are now found in many industrial fields including process automation and automobiles. However the discrepancy between a node's view of current time and the rest of the system can cause many difficulties in the design and implementation of a networked system. To provide a networked system with a global reference time, the problem of clock synchronization has been intensively studied over the decades. However, many of the existing solutions, which are mainly developed for large scale distributed computer systems, cannot be directly applied to embedded systems. This paper presents a fault-tolerant clock synchronization technique that can be used for a low-cost embedded system using a CAN bus. The effectiveness of the proposed method is demonstrated with a set of microcontrollers and DC motor-based actuators.

조명 제어를 위한 스마트 상황 센서 (Smart Moment Sensor for Light Control)

  • 이창준;박영채;김혜지;정은기;황광일
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2022년도 추계학술발표대회
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    • pp.839-841
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    • 2022
  • 단순한 기능만을 갖고 있던 조명 시장에 전원과 밝기, 색상 외에도 다양한 기능들이 추가된 스마트 전구 제품들이 출시되어 사용자들에게 편리함과 새로운 경험을 제공해주고 있지만, 여전히 사용자의 수동 제어를 필요로 하고 있는 상황이다. 스마트 상황 센서 LightMe는 이에 AI 기술을 접목해 사용자의 조작을 최소한으로 하면서도 쉽게 접근할 수 있는 환경을 제공한다.

초고층 건물의 건전성 감시를 위한 변형률 기반 무선 센서 네트워크 기법의 기초적 연구 (Fundamental Research of Strain-based Wireless Sensor Network for Structural Health Monitoring of Highrise building)

  • 정은수;박효선;최석원;차호정
    • 한국방재학회:학술대회논문집
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    • 한국방재학회 2007년도 정기총회 및 학술발표대회
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    • pp.429-432
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    • 2007
  • For smart structure technologies, the interests in wireless sensor networks for structural health monitoring are growing. The wireless sensor networks reduce the installation of the wire embedded in the whole structure and save the costs. But the wireless sensor networks have lots of limits and there are lots of researches and developments of wireless sensor and the network for data process. Most of the researches of wireless sensor network is applying to the civil engineering structure and the researches for the highrise building are required. And strain-based SHM gives the local damage information of the structures which acceleration-based SHM can not. In this paper, concept of wireless sensor network for structural health monitoring of highrise building is suggested. And verifying the feasibility of the strain-based SHM a strain sensor board has developed and tested by experiments.

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스마트 실버 헬스케어를 위한 비접촉 인체감지 IOT 센서 개발 (A Development of Non-Invasive Body Monitoring IOT Sensor for Smart Silver Healthcare)

  • 강병욱;김상희
    • 융합신호처리학회논문지
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    • 제19권1호
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    • pp.28-34
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    • 2018
  • 본 논문은 적외선 온도센서를 이용한 재실인원 측정을 통한 출입자 관리 시스템, 방 내부의 움직임 파악하기 위한 PIR센서 모듈, 그리고 취침 상태를 판별하기 위한 스마트 호흡감지 모듈로 구성된다. 센싱부와 알고리즘 구동 부를 일체화 한 임베디드 형태의 센서 모듈과 통신 시스템으로 구성하였다. 고령화 사회가 가속화, 고급화됨에 따라 실버케어에 대한 사회적 비용이 증가하고 프라이버시를 보호하기 위해선 효율적인 실버케어기기 개발을 통하여 비용 감소가 필요하다. 제안된 비 영상 인체감지 IOT 센서 시스템은 하드웨어와 소프트웨어로 구현하였고 기존의 영상에 의한 감시 방법과 비교하여 우수한 성능을 확인하였다.

Sensor placement strategy for high quality sensing in machine health monitoring

  • Gao, Robert X.;Wang, Changting;Sheng, Shuangwen
    • Smart Structures and Systems
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    • 제1권2호
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    • pp.121-140
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    • 2005
  • This paper presents a systematic investigation of the effect of sensor location on the data quality and subsequently, on the effectiveness of machine health monitoring. Based on an analysis of the signal propagation process from the defect location to the sensor, numerical simulations using finite element modeling were conducted on a bearing test bed to determine the signal strength at several representative sensor locations. The results showed that placing sensors closely to the machine component being monitored is critical to achieving high signal-to-noise ratio, thus improving the data quality. Using millimeter-sized piezoceramic plates, the obtained results were evaluated experimentally. A comparison with a set of commercial vibration sensors verified the developed structural dynamics-based sensor placement strategy. It further demonstrated that the proposed shock wave-based sensing technique provided an effective alternative to vibration measurement, while requiring less space for sensor installation.

Gate Data Gathering in WiFi-embedded Smart Shoes with Gyro and Acceleration Sensor

  • Jeong, KiMin;Lee, Kyung-chang
    • 한국산업융합학회 논문집
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    • 제22권4호
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    • pp.459-465
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    • 2019
  • There is an increasing interest in health and research on methods for measuring human body information. The importance of continuously observing information such as the step change and the walking speed is increasing. At a person's gait, information about the disease and the currently weakened area can be known. In this paper, gait is measured using wearable walking module built in shoes. We want to make continuous measurement possible by simplifying gait measurement method. This module is designed to receive information of gyro sensor and acceleration sensor. The designed module is capable of WiFi communication and the collected walking information is stored in the server. The information stored in the server is corrected by integrating the acceleration sensor and the gyro sensor value. A band-pass filter was used to reduce the error. This data is categorized by the Gait Finder into walking and waiting states. When walking, each step is divided and stored separately for analysis.

1-D CNN deep learning of impedance signals for damage monitoring in concrete anchorage

  • Quoc-Bao Ta;Quang-Quang Pham;Ngoc-Lan Pham;Jeong-Tae Kim
    • Structural Monitoring and Maintenance
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    • 제10권1호
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    • pp.43-62
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    • 2023
  • Damage monitoring is a prerequisite step to ensure the safety and performance of concrete structures. Smart aggregate (SA) technique has been proven for its advantage to detect early-stage internal cracks in concrete. In this study, a 1-D CNN-based method is developed for autonomously classifying the damage feature in a concrete anchorage zone using the raw impedance signatures of the embedded SA sensor. Firstly, an overview of the developed method is presented. The fundamental theory of the SA technique is outlined. Also, a 1-D CNN classification model using the impedance signals is constructed. Secondly, the experiment on the SA-embedded concrete anchorage zone is carried out, and the impedance signals of the SA sensor are recorded under different applied force levels. Finally, the feasibility of the developed 1-D CNN model is examined to classify concrete damage features via noise-contaminated signals. The results show that the developed method can accurately classify the damaged features in the concrete anchorage zone.

Hybrid acceleration-impedance sensor nodes on Imote2-platform for damage monitoring in steel girder connections

  • Kim, Jeong-Tae;Park, Jae-Hyung;Hong, Dong-Soo;Ho, Duc-Duy
    • Smart Structures and Systems
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    • 제7권5호
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    • pp.393-416
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    • 2011
  • Hybrid acceleration-impedance sensor nodes on Imote2-platform are designed for damage monitoring in steel girder connections. Thus, the feasibility of the sensor nodes is examined about its performance for vibration-based global monitoring and impedance-based local monitoring in the structural systems. To achieve the objective, the following approaches are implemented. First, a damage monitoring scheme is described in parallel with global vibration-based methods and local impedance-based methods. Second, multi-scale sensor nodes that enable combined acceleration-impedance monitoring are described on the design of hardware components and embedded software to operate. Third, the performances of the multi-scale sensor nodes are experimentally evaluated from damage monitoring in a lab-scaled steel girder with bolted connection joints.