Passive Displacement Sensing Using Backscatter RFID with Multiple LoadsJonathan Becker
Backscatter radio frequency (RF) tags and radio frequency identification (RFID) tags can be used to create wireless sensors that do not require a battery by using the tag antenna's electrical load as a transducer. This paper presents such a backscatter sensor system operating in the 5.8 GHz unlicensed frequency band that wirelessly senses distance (i.e., displacement) between one and five millimeters. The system senses the variable impedance of a covered, open-circuit microstrip line and uses two fixed antenna load impedances to remove the effects of the radio channel. The primary contribution of this paper is a demonstration of the wireless sensing system in which the binary position of a human finger (e.g., “bent” or “straight”) is measured using a passive transducer for wireless human-computer-interaction (HCI) applications.
MICS (Medical Implant Communication Service) based body sensor network design and implementation for patient physiological data collection for health monitoring purposes. The MICS band offers the advantage of miniaturized electronic devices that can either be used as an implanted node or as an external node. In this work, a prototype sensor network is implemented by incorporating temperature and pulse rate sensors on nodes. Each developed sensor node has the capability of physiological data acquisition and local processing. The sensor node can also transmit data over the air to a remote central control unit (CCU) for further pro-cessing and storage. The developed system offers patient mobility as well as medical staff can obtain patient’s physiological data on demand basis via the Internet. The developed system has been optimized for power consumption by using a polling architecture.
Presentation given by Dr Leo Laughlin from the Communication Systems & Networks research group at the EPSRC Scalable Full-Duplex for Dense Networks (SENSE) workshop, part of the IEEE Wireless Advanced conference at Kings Colleage London.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Passive Displacement Sensing Using Backscatter RFID with Multiple LoadsJonathan Becker
Backscatter radio frequency (RF) tags and radio frequency identification (RFID) tags can be used to create wireless sensors that do not require a battery by using the tag antenna's electrical load as a transducer. This paper presents such a backscatter sensor system operating in the 5.8 GHz unlicensed frequency band that wirelessly senses distance (i.e., displacement) between one and five millimeters. The system senses the variable impedance of a covered, open-circuit microstrip line and uses two fixed antenna load impedances to remove the effects of the radio channel. The primary contribution of this paper is a demonstration of the wireless sensing system in which the binary position of a human finger (e.g., “bent” or “straight”) is measured using a passive transducer for wireless human-computer-interaction (HCI) applications.
MICS (Medical Implant Communication Service) based body sensor network design and implementation for patient physiological data collection for health monitoring purposes. The MICS band offers the advantage of miniaturized electronic devices that can either be used as an implanted node or as an external node. In this work, a prototype sensor network is implemented by incorporating temperature and pulse rate sensors on nodes. Each developed sensor node has the capability of physiological data acquisition and local processing. The sensor node can also transmit data over the air to a remote central control unit (CCU) for further pro-cessing and storage. The developed system offers patient mobility as well as medical staff can obtain patient’s physiological data on demand basis via the Internet. The developed system has been optimized for power consumption by using a polling architecture.
Presentation given by Dr Leo Laughlin from the Communication Systems & Networks research group at the EPSRC Scalable Full-Duplex for Dense Networks (SENSE) workshop, part of the IEEE Wireless Advanced conference at Kings Colleage London.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
An Algorithm Based On Discrete Wavelet Transform For Faults Detection, Locati...paperpublications3
Abstract: An electric power distribution system is the final stage in the delivery of electric power; it carries electricity from the transmission system to individual consumers. Fault classification and location is very important in power system engineering in order to clear fault quickly and restore power supply as soon as possible with minimum interruption. Hence, ensuring its efficient and reliable operation is an extremely important and challenging task. With availability of inadequate system information, locating faults in a distribution system pose a major challenge to the utility operators. In this paper, a faults detection, location and classification technique using discrete wavelet multi-resolution approach for radial distribution systems are proposed. In this distribution network, the current measurement at the substation have been utilized and is demonstrated on 9-bus distribution system. Also in this work distribution system model was developed and simulated using power system block set of MATLAB to obtain fault current waveforms. The waveforms were analyzed using the Discrete Wavelet Transform (DWT) toolbox by selecting suitable wavelet family. It was estimated and achieved using Daubechies ‘db5’ discrete wavelet transform.
Thermal-Aware Based Field Theory Routing in Wireless Body Area Networksjournal ijrtem
ABSTRACT:Wireless Body Area Networks (WBANs) have emerged as a powerful solution for healthcare applications. They investigate small devices that are instrumental for providing medical data to a remote base station. Recent developments in WBANs have led to wireless implantable sensors that are able to transmit in vivo measurements. Two key issues have been dominated the field of wireless implantable sensor networks: temperature rise and attenuation of the transmitted signals due to the properties of the skin. This paper addresses thermal-based routing in wireless implantable sensor networks. Different from the existing methods that estimate the temperature of the neighboring sensors, our method is based on the field theory to avoid the hotspots. Furthermore, we conducted an Omnet++ simulation that supports IEEE 802.11 which promotes an implementation of CSMA/CA MAC scheduling. Our simulation results demonstrate the convergence of the maximum temperature rise. Keywords:WBANs, routing, implantable sensors, field theory, Omnet++, temperature rise.
MinIR is an ultra low power (3.5mW 4 ), high performance CO 2 sensor, ideally suited for battery operation and portable instruments. Based on patented IR LED and Detector technology and innovative optical designs, MinIR is a third generation product from Gas Sensing Solutions Ltd – leaders in IR LED CO 2 sensing.
Design and Implementation of Polyphase based Subband Adaptive Structure for N...Pratik Ghotkar
With the tremendous growth in the Digital Signal processing technology, there are many techniques available to remove noise from the speech signals which is used in the speech processing. Widely used LMS algorithm is modified with much advancement but still there are many limitations are introducing. This paper consist of a new approach i.e. subband adaptive processing for noise cancelation in the speech signals. Subband processing employs the multirate signal processing. The polyphase based subband adaptive implementation finds better results in term of MMSE , PSNR and processing time; also the synthesis filter bank is works on the lower data rate which reduces the computational Burdon as compare to the direct implementation of Subband adaptive filter. The normalized least mean squares (NLMS) algorithm is a class of adaptive filter used.
Function Point Productivity Software is the leading all-in-one project management solution to specially designed for ad agencies, design studios and internal marketing departments looking to streamline their business.
6 Steps to Developing a Content-First Marketing StrategyCision
Does your content impact the bottom line?
If your content doesn’t provide value, your target audience won’t buy.
In this webinar, Content Marketing Institute founder Joe Pulizzi will discuss how to develop content that builds an audience, influences customers and drives sales.
Joe will show you how to:
-Develop a “content-first” business model in six steps
- Attract a loyal audience by creating valuable content
- Convert followers and subscribers into customers
- Deliver impactful communication through paid, earned,
shared and owned media
An INSET presentation to Heads of Department on How to Conduct Teacher Appraisal by Mark Steed, Principal of Berkhamsted School.
The INSET relates to the Berkhamsted Schools Group model for Teacher appraisal.
An Algorithm Based On Discrete Wavelet Transform For Faults Detection, Locati...paperpublications3
Abstract: An electric power distribution system is the final stage in the delivery of electric power; it carries electricity from the transmission system to individual consumers. Fault classification and location is very important in power system engineering in order to clear fault quickly and restore power supply as soon as possible with minimum interruption. Hence, ensuring its efficient and reliable operation is an extremely important and challenging task. With availability of inadequate system information, locating faults in a distribution system pose a major challenge to the utility operators. In this paper, a faults detection, location and classification technique using discrete wavelet multi-resolution approach for radial distribution systems are proposed. In this distribution network, the current measurement at the substation have been utilized and is demonstrated on 9-bus distribution system. Also in this work distribution system model was developed and simulated using power system block set of MATLAB to obtain fault current waveforms. The waveforms were analyzed using the Discrete Wavelet Transform (DWT) toolbox by selecting suitable wavelet family. It was estimated and achieved using Daubechies ‘db5’ discrete wavelet transform.
Thermal-Aware Based Field Theory Routing in Wireless Body Area Networksjournal ijrtem
ABSTRACT:Wireless Body Area Networks (WBANs) have emerged as a powerful solution for healthcare applications. They investigate small devices that are instrumental for providing medical data to a remote base station. Recent developments in WBANs have led to wireless implantable sensors that are able to transmit in vivo measurements. Two key issues have been dominated the field of wireless implantable sensor networks: temperature rise and attenuation of the transmitted signals due to the properties of the skin. This paper addresses thermal-based routing in wireless implantable sensor networks. Different from the existing methods that estimate the temperature of the neighboring sensors, our method is based on the field theory to avoid the hotspots. Furthermore, we conducted an Omnet++ simulation that supports IEEE 802.11 which promotes an implementation of CSMA/CA MAC scheduling. Our simulation results demonstrate the convergence of the maximum temperature rise. Keywords:WBANs, routing, implantable sensors, field theory, Omnet++, temperature rise.
MinIR is an ultra low power (3.5mW 4 ), high performance CO 2 sensor, ideally suited for battery operation and portable instruments. Based on patented IR LED and Detector technology and innovative optical designs, MinIR is a third generation product from Gas Sensing Solutions Ltd – leaders in IR LED CO 2 sensing.
Design and Implementation of Polyphase based Subband Adaptive Structure for N...Pratik Ghotkar
With the tremendous growth in the Digital Signal processing technology, there are many techniques available to remove noise from the speech signals which is used in the speech processing. Widely used LMS algorithm is modified with much advancement but still there are many limitations are introducing. This paper consist of a new approach i.e. subband adaptive processing for noise cancelation in the speech signals. Subband processing employs the multirate signal processing. The polyphase based subband adaptive implementation finds better results in term of MMSE , PSNR and processing time; also the synthesis filter bank is works on the lower data rate which reduces the computational Burdon as compare to the direct implementation of Subband adaptive filter. The normalized least mean squares (NLMS) algorithm is a class of adaptive filter used.
Function Point Productivity Software is the leading all-in-one project management solution to specially designed for ad agencies, design studios and internal marketing departments looking to streamline their business.
6 Steps to Developing a Content-First Marketing StrategyCision
Does your content impact the bottom line?
If your content doesn’t provide value, your target audience won’t buy.
In this webinar, Content Marketing Institute founder Joe Pulizzi will discuss how to develop content that builds an audience, influences customers and drives sales.
Joe will show you how to:
-Develop a “content-first” business model in six steps
- Attract a loyal audience by creating valuable content
- Convert followers and subscribers into customers
- Deliver impactful communication through paid, earned,
shared and owned media
An INSET presentation to Heads of Department on How to Conduct Teacher Appraisal by Mark Steed, Principal of Berkhamsted School.
The INSET relates to the Berkhamsted Schools Group model for Teacher appraisal.
The autonomous Test Bench is the growing field of
testing device. The Rapid production firms require rapid testing
infrastructure. Many firms till now use legacy system. The
Autonomous Test Bench is a Rapid Application Development tool
to accelerate the device testing rapid. To implementation ATB
(Autonomous Test Bench) the major requirement is to measure
the target object distance from robotic arm to trigger the device
(like push button, gripping something etc.) Not only Robotic
system, many fields of industry are required to capture ultrasonic
scan data. Sometimes it should be wireless system which may be
positioned anywhere. This paper describes a novel way to capture
surrounded ultrasonic scan data. The device is portable and
wireless and as well as cost effective. To measure object distance,
ultrasonic peripatetic scanner uses two servo motors to scan the
object horizontally and vertically. The main controller is a credit
card sized computer Raspberry pi with high processing capability
and portability. The programs are written using Python which is
an interpreted language.
Decoding Turbulent Chemical Plumes With Improved Signal Processing and Machin...InsideScientific
During this webinar sponsored by Aurora Scientific, Dr. Burgués will discuss how he and his team are leveraging various signal processing and machine learning techniques in order to decode the fine-scale structure of turbulent chemical plumes using low-cost chemical sensors. Specifically, he will discuss three signal processing methods they developed to improve MOX sensor dynamics, and share the experimental setups they used to test their theories. Finally, he will share data from recent experiments and elaborate on the conclusions of their studies and how robotic plume tracking technology might apply to industrial and air quality monitoring, research and more.
For more information, please visit: https://insidescientific.com/webinar/decoding-turbulent-chemical-plumes-improved-signal-processing-machine-learning-aurora-scientific
⭐⭐⭐⭐⭐ Trilateration-based Indoor Location using Supervised Learning AlgorithmsVictor Asanza
The indoor positioning system (IPS) has a wide range of applications, due to the advantages it has over Global Positioning Systems (GPS) in indoor environments. Due to the biosecurity measures established by the World Health Organization (WHO), where the social distancing is provided, being stricter in indoor environments. This work proposes the design of a positioning system based on trilateration. The main objective is to predict the positioning in both the ‘x’ and ‘y’ axis in an area of 8 square meters. For this purpose, 3 Access Points (AP) and a Mobile Device (DM), which works as a raster, have been used. The Received Signal Strength Indication (RSSI) values measured at each AP are the variables used in regression algorithms that predict the x and y position. In this work, 24 regression algorithms have been evaluated, of which the lowest errors obtained are 70.322 [cm] and 30.1508 [cm], for the x and y axes, respectively.
Published in: 2022 International Conference on Applied Electronics (AE)
⭐ For more information visit our blog:
https://vasanza.blogspot.com/
International Journal of Engineering Research and Development (IJERD)IJERD Editor
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Adaptive Monitoring and Localization of Faulty Node in a Wireless Sensor Netw...Onyebuchi nosiri
Abstract
This work seeks to solve the problem that is being experienced in most existing remote monitoring systems by coming up with an enhanced monitoring system called Wireless Sensor Network. A Personal Area Network was evolved to increase the coverage area by spatially distributing Sensor nodes to capture and transmit physical parameters like temperature and Carbon monoxide in an indoor local cooking environment. Faulty node detection and localization was also realized, this was achieved by coming up with an algorithm that logically considers the receive signal strength value of -100 dbm as threshold, Result of data transmitted were viewed via a C-Sharp interface for Adaptive monitoring. The result from the Visual Basic plot shows that the Sensor nodes were able to capture temperature range of between 250C to 510C while the result of the CO emission shows an interval of 0.01g/m3 to 30.0 g/m3. A comparison between data transmitted at source and data received at the destination (sink) was carried out, a ranking test was used to validate the data received, a 0.9325 correlation value was obtained which shows a high level of integrity of 93.25% .
Real-Time Monitoring of Power Oscillations Modal Damping in the European System
Presentation for ama conf mod
1. Preliminary Study of Indoor UWB Localization for At-Home Patient Monitoring AMA-EMBS IEEE Conference Washington D.C March 22~23, 2010 Oregon State University Oregon Health and Science University
2.
3. Monitor two patients’ movement simultaneously in home area
Hello, my name is SeungjinBaek. The topic of this presentation is “Preliminary study of indoor UWB localization for at-home patient monitoring. Our group is with Oregon State University and Oregon Health and Science University.
![At-Home Patient tracking and Indoor localization ,[object Object]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)