Visually impaired and blind people require constant assistance from others in order to move around, making them extremely depend on others in their social lives. For visually impaired and blind people, object detectio...
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ISBN:
(纸本)9781665438124
Visually impaired and blind people require constant assistance from others in order to move around, making them extremely depend on others in their social lives. For visually impaired and blind people, object detection and distance calculation are major challenges. Earlier navigation systems were both costly and time-consuming to use in everyday life. This study describes a blind or visually impaired person's electronic navigation system (subject). Using an ultrasonic sensornetwork, this system detects objects upto 500cm to the left and right of the subject(person). It effectively measures the distance between the person and the detected obstacle(object) and provides a navigation route that avoids obstacle. It employs speech feedback to inform the user of the location and distance of the indicated obstacle. Using an ARM LPC2148 microcontroller-based embedded system, this recommended system handles real-time data acquired by an ultrasonic sensing networks. Based on the directions and distances of the observed barrier, the applicable pre-recorded spoken communications stored in the APR33A3 are called as flash memory. Speaker is used to provide such voice messages to the subject. The project's objective is to equip visually impaired and blind persons with a more cost-effective and portable navigation system.
Diabetes is a silent killer disease worldwide. Regular blood glucose level monitoring and healthy life management is the only remedy as this cannot be cured. In conventional way, need to draw a drop of blood by pricki...
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ISBN:
(纸本)9781509021611
Diabetes is a silent killer disease worldwide. Regular blood glucose level monitoring and healthy life management is the only remedy as this cannot be cured. In conventional way, need to draw a drop of blood by pricking fingertip and measure the glucose level through a device. This creates mental trauma among most of the diabetes patient specially the children. To overcome this problem, a non-invasive and patient friendly way of measurement is essential, which is the focus of this paper. Some investigation have been conducted in non-invasive field but none could stand for a durable period in terms of accuracy, comfort and safety. This paper presents an Ultra-wide band (UWB) microwave imaging and Artificial Intelligence (AI) based a solution with performance analysis to detect blood glucose concentration level non-invasively (i.e., without taking any blood sample). The system consists of a pair of small UWB biomedical planar antennas, UWB transceiver as hardware and an artificial neural network (ANN) with signal acquisition and processing interface as software module. The UWB signal with center frequency of 4.7 GHz was transmitted through one side of left hand and forward scattering signals were received from another side. Characteristic features from received signal were extracted for pattern recognition and detection through ANN. The system exhibits 81% accuracy to detect glucose concentration in blood plasma. Besides, it is user friendly, affordable, safe and can be used with comfort in near future.
In order to enhance the statistic accuracy, a new algorithm based on chicken swarm optimization(CSO) and mobile anchor was established in WSN. Firstly, the distance measurement information of unknown nodes was acquire...
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In order to enhance the statistic accuracy, a new algorithm based on chicken swarm optimization(CSO) and mobile anchor was established in WSN. Firstly, the distance measurement information of unknown nodes was acquired based on different power signal, which was launched by anchor moved in target area. Then the optimal solution was estimated iteratively by different chicken swarm identities, which were identified according to fitness *** CSO was able to improved the convergence ability of algorithms by adjusting the searching direction in space adaptively..Overall, the results indicated that the CSO algorithm has better positioning accuracy, and could be better applied in the field of WSN localization of node random distribution.
Structural monitoring applications such as corrosion assessment, measurement of concrete temperature or moisture content of critical bridge structures can greatly benefit from the use of wireless sensornetworks (WSNs...
ISBN:
(纸本)9781450342643
Structural monitoring applications such as corrosion assessment, measurement of concrete temperature or moisture content of critical bridge structures can greatly benefit from the use of wireless sensornetworks (WSNs), however energy harvesting for the operation of the network remains a challenge in this setting. We present a multihop vibration-based energy harvesting WSN system for bridge monitoring applications. Our preliminary simulation experiments show that the system is able to maintain energy neutral operation over time, preserving energy with careful management of sleep and communication times.
network defense is an elusive art. The arsenal to defend our devices from attack is constantly lagging behind the latest methods used by attackers to break into them and subsequently into our networks. To counteract t...
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network defense is an elusive art. The arsenal to defend our devices from attack is constantly lagging behind the latest methods used by attackers to break into them and subsequently into our networks. To counteract this trend, we developed a distributed, scalable approach that harnesses the power of collaborative end-host detectors or sensors. Simulation results reveal order of magnitude improvements over stand-alone detectors in the accuracy of detection (fewer false alarms) and in the quality of detection (the ability to capture stealthy anomalies that would otherwise go undetected). Although these results arise out of a proof of concept in the arena of botnet detection in an enterprise network, they have broader applicability to the area of network self-manageability of pervasive computing devices. To test the efficacy of these ideas further, Intel Corporation partnered with British Telecommunications plc to launch a trial deployment. In this paper, we report on results and insights gleaned from the development of a testbed infrastructure and phased experiments; (1) the design of a re-usable measurement-inference architecture into which 3rd party sensor developers can integrate a wide variety of ldquoanomaly detectionrdquo algorithms to derive the same correlation-related performance benefits; (2) the development of a series of validation methodologies necessitated by the lack of mature tools and approaches to attest to the security of distributed networked systems; (3) the critical role of learning and adaptation algorithms to calibrate a fully-distributed architecture of varied devices in varied contexts, and (4) the utility of large-scale data collections to assess what's normal behavior for Enterprise end-host background traffic as well as malware command-and-control protocols. Finally, we propose collaborative defense as a blueprint for emergent collaborative systems and its measurement-everywhere approach as the adaptive underpinnings needed for pervasive
In this study, we conducted long-distance radio propagation experiments at 1mW/145 MHz to realize low-power long-distance communication for wildlife research and disaster prevention telemetry [1]. We successfully real...
ISBN:
(纸本)9781450342643
In this study, we conducted long-distance radio propagation experiments at 1mW/145 MHz to realize low-power long-distance communication for wildlife research and disaster prevention telemetry [1]. We successfully realized long-distance (over 300km) ground-air-ground communications via a balloon (elevation: ~14,000 m) with 1 mW radio power.
As daylight modeling and simulation abilities have progressed, a number of new annual daylighting metrics have been proposed to characterize the quality of daylight in a space. A critique of many of these metrics, how...
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ISBN:
(纸本)9781450342643
As daylight modeling and simulation abilities have progressed, a number of new annual daylighting metrics have been proposed to characterize the quality of daylight in a space. A critique of many of these metrics, however, involves how they model human and sensorcontrolled window shades and blinds. In particular, the majority of metrics model manual shade control in an ideal, unrealistic, manner- i.e., closed precisely when necessary. This paper explores a more realistic and granular algorithm that has recently been implemented within sensor Placement Optimization Tool (SPOT Pro™) software. This algorithm allows for adjustments in sensitivity as well as delay when simulating manual shade control, thereby allowing modeling for a wider range of representative occupant behaviors. Preliminary analysis using the new, more elastic algorithm suggests that occupant delays in opening of shade controls can result in significant (50-100%) reductions in daylight availability. The contribution of the research is an initial exploration of the new algorithm to support more accurate modeling of shade control in the future.
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