Tremendous and impeccable advances in information technology enable us to develop remotely controllable devices with various sensors for precision agriculture. Our main purpose is to study and summarize contemporary o...
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Tremendous and impeccable advances in information technology enable us to develop remotely controllable devices with various sensors for precision agriculture. Our main purpose is to study and summarize contemporary opportunities offered by wireless and internet technologies used for mobile GIS besides remote electronic controller and sensors along with self capable energy consuming devices. Therefore the major task of this article is to explore new opportunities to gather agricultural data for precision farming and monitoring of livestock by comprehensive examining of remote control abilities of recent technologies besides implementation of renewable energy resources to wireless and mobile GIS applications.
Wireless location is one of the core technologies of Wireless sensor Network. In many applications, the accuracy of the location is the precondition of the useful of data information the node collected. Under the prem...
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ISBN:
(纸本)9781467391023
Wireless location is one of the core technologies of Wireless sensor Network. In many applications, the accuracy of the location is the precondition of the useful of data information the node collected. Under the premise of cost limits, improving the accuracy of wireless sensor node position has crucial significance. After analyzing reasons of the location weakness of Dv-Distance algorithm due to errors caused by different paths, we propose an estimation algorithm that is based on the distance of different paths between node and the anchor node, thereby balancing the error of different paths to locate the node. This is an improved algorithm which is based on circle focal point positioning.
Robotics and Wireless sensor Network (WSN) collaboration is an emerging research field in which both technologies can benefit from integrated implementations. A robot operating in WSN assisted environments can dynamic...
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Robotics and Wireless sensor Network (WSN) collaboration is an emerging research field in which both technologies can benefit from integrated implementations. A robot operating in WSN assisted environments can dynamically push instructions using over the air (OTA) update protocols to alter sensors to suit the requirements. In this paper, an Intrusion Detection System (IDS) for a WSN software update protocol is designed and simulated. When the protocol modifies the running software in a mote, the mote sends related information to the WSN sink. The IDS analyses the update phenomena of each of the motes in the network and computes an Intrusion Warning Score (IWS) that indicates a possible intrusion due to an illegitimate software update.
Instant knowledge of the current position of people and objects has become a concern for most of us. This can be a challenge when the sought object is located inside a building since the Global Positioning System (GPS...
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Instant knowledge of the current position of people and objects has become a concern for most of us. This can be a challenge when the sought object is located inside a building since the Global Positioning System (GPS) may not be helpful in this situation. For this reason many applications are revealed which use new technologies such as Wireless sensor Networks (WSN). In this paper we present a prototype of an indoor localization platform that is able to provide a Real-Time estimation of target objects using as equipment the WSN and the lateration based on the computation of Received Signal Strength Indicator (RSSI) as a localization technique. With improvements in terms of signal processing we realize an accuracy of 1 m, which is very useful for many fields of applications.
The magnetic liquid known as ferrofluid is a liquid, acts as a smart material, which becomes strongly magnetized in the presence of a magnetic field. The aim of this work to develop standard, economical method for syn...
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The magnetic liquid known as ferrofluid is a liquid, acts as a smart material, which becomes strongly magnetized in the presence of a magnetic field. The aim of this work to develop standard, economical method for synthesis of iron oxide nanoparticles along with their coating with oleic acid resulting in good quality of stable ferrofluid. The authors have prepared ferrofluid where nanoparticles are suspended in kerosene. To avoid aggregation, nanoparticles are coated with oleic acid. In present work, the stability of ferrofluid is considered in terms of particle size, size distribution and magnetization. The properties of final fluid are studied with the help of various analytical techniques; X-ray diffraction (XRD), Transmission electron microscopy (TEM), Fourier transform infrared spectroscopy (FTIR) which are used for the determination of characteristics of ferrofluid like interatomic distance, size and shape of the particles and adhesion of oleic acid to nanoparticles. In account of synthesized ferrofluid, remaining part of work is dedicated to application of ferrofluid in the inclination sensor. In present there are many commercial applications of ferrofluids such as cancer detection (MRI test), speakers etc. Here the focus is given to construct ferrofluid based inductive inclination sensor as one of the application of the ferrofluid. The range of inclination sensor developed by us is ±12° and the resolution is ~ ±0.5°.
Infrared sensors have been widely used in the field of robotics. This is primarily because these low cost and low power devices have a fast response rate that enhances realtime robotic systems. However, the use of the...
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Infrared sensors have been widely used in the field of robotics. This is primarily because these low cost and low power devices have a fast response rate that enhances realtime robotic systems. However, the use of these sensors in this field has been largely limited to proximity estimation and obstacle avoidance. In this paper, we attempt to extend the use of these sensors from just distance measurement to classification of direction of motion of a moving object or person in front of these sensors. A platform fitted with 3 infrared sensors is used to record distance measures at intervals of 100ms. A histogram based iterative clustering algorithm segments data into clusters, from which extracted features are fed to a classification algorithm to classify the motion direction. Experimental results validate the theory that these low cost infrared sensors can be successfully used to classify motion direction of a person in real time.
This paper presents the HealthMon framework towards accessible mobile health. Following the emergence of wearables with rich sensing capabilities in the market, HealthMon repurposes an affordable, retail wristband to ...
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This paper presents the HealthMon framework towards accessible mobile health. Following the emergence of wearables with rich sensing capabilities in the market, HealthMon repurposes an affordable, retail wristband to clinical monitoring scenarios for conditions that impair independence e.g. dementia, Parkinson's or ageing. Multiple sensor modalities, such as physical activity levels, posture and heart rate, are unanimously stored and interpreted to produce real-time alerts, using Semantic Web technologies. HealthMon's constant monitoring capabilities are available to end-users and informal carers e.g. family and medical doctors alike, through mobile and web applications. The framework focuses on adoptability and deployability, receiving positive user feedback.
As wireless smart sensor networks and geographical information systems (GIS) are evolving nowadays, applications of remote monitoring in wide spread geographical areas are becoming cost-effective and possible. An exam...
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ISBN:
(纸本)9781479974801
As wireless smart sensor networks and geographical information systems (GIS) are evolving nowadays, applications of remote monitoring in wide spread geographical areas are becoming cost-effective and possible. An example of such applications is the structural health status monitoring of highway bridges that connect roads in both rural and urban areas. Many of these bridges are subject to deterioration due to external and internal factors. Online, real-time structural health monitoring is a resourceful complimentary tool to facilitate rapid field inspection. Bridge maintenance and infrastructure managers can easily use this application to safeguard the performance and safety of these vital structures. This paper presents an autonomous wireless sensor network system to monitor structural health in highways bridges. The proposed system consists of a wireless Data Acquisition Unit (DAQ), a mobile public network, a structural health data evaluation, a management middleware, a GIS and graphical user interface module. The sensors in the DAQ gather the bridge health signs and transmit them promptly via the public mobile networks to the management and evaluation middleware for further processing. Based on the national bridge inventory rating scale, an early warning fuzzy logic based engine is developed to process the status of a given bridge and alert the concerned operator/s regarding any abnormality. Furthermore, an interactive Google map is used to show the status of each bridge along with its exact location. A prototype was built in the laboratory to validate the proposed system. Analysis of testing results and comparisons with existing monitoring systems are also discussed. Operators can access the bridge real-time data through mobile phone. The system is cost effective and user friendly.
Gunshot acoustic localization for military and urban security systems has long been an important topic of research. In recent years the development of independent Unmanned Ground sensors (UGS), interconnected through ...
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Gunshot acoustic localization for military and urban security systems has long been an important topic of research. In recent years the development of independent Unmanned Ground sensors (UGS), interconnected through Wireless sensor Networks (WSN), performing distributed cooperative localization, has grown in popularity. This paper proposes an asynchronous method of gunshot localization, performed by UGS, equipped with circular microphone arrays. Each UGS in the WSN estimates the Direction of Arrival (DOA) of acoustic events and the time delay between these events. Fusion nodes perform event identification, accounting for outliers (e.g. target hit noise), and shooter localization, based on gathered event information and WSN geometry. The approach is tested on real signals, acquired at a shooting range, and succeeds in localizing the shooter's position with a mean accuracy of 0.87 meters for 30 shots.
With the emergence of cheap sensors, there has been a proliferation of novel applications aimed at providing personalized services - from location and routing to daily energy consumption. Most existing applications ar...
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With the emergence of cheap sensors, there has been a proliferation of novel applications aimed at providing personalized services - from location and routing to daily energy consumption. Most existing applications are aimed at the able-bodied; however, Internet of Things technologies bring the potential to revolutionize the lives of the whole of our population. In this paper, our application area lies in supporting wheelchair users to navigate around the built environment in a way that best suits their disability. This is founded on the availability of good sensor data, and there are essentially two approaches to gathering this: (i) use bespoke sensors, with tight control over exactly what data is gathered and when; (ii) repurpose smartphone sensors to gather the necessary data. This represents a potential tradeoff between accuracy and easy availability. In this paper, we examine the differences in the data quality obtained from different kinds of devices and demonstrate that the smartphones can give a comparable data quality to bespoke devices. We also investigate how, and to what extent, the holding or mounting of the smartphone affects the measurements.
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