It is very important to study the effects of various factors on synthesis of carbon nanofibers for controlled synthesis, which plays a significant role in realizing desired nanostructures or nanodevices for applicatio...
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ISBN:
(纸本)9780878493784
It is very important to study the effects of various factors on synthesis of carbon nanofibers for controlled synthesis, which plays a significant role in realizing desired nanostructures or nanodevices for applications. In this report, we employed different carbon source and different catalyst precursor solution, respectively, and studied the effects of those on carbon nanofibers that were synthesized by catalytic combustion process. We have characterized the as-grown carbon nanofibers by employing scanning electron microscopy (SEM) for deep understanding.
Robust environmental perception systems are key to implementing advanced driver assistance features in modern vehicles. To acquire knowledge of the environment, vehicles employ sensors like LiDAR, Camera and Radar for...
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ISBN:
(纸本)9781665473507
Robust environmental perception systems are key to implementing advanced driver assistance features in modern vehicles. To acquire knowledge of the environment, vehicles employ sensors like LiDAR, Camera and Radar for object detection and tracking. For autonomous driving applications (SAE J3016 Level 3 and above), LiDAR and camera-based systems are most common. Camera-based systems have difficulty in operating under low-visibility conditions while LiDAR-based systems do not perform well in detecting objects at farther distances due to sparse point clouds. This work presents an approach to improving the shortcomings of the LiDAR-based detection systems by upsampling sparse LiDAR point clouds and then fusing the camera data to it to improve the quality of the point clouds generated that can be then used for object detection and identification. The proposed technique has been validated on the KITTI vision benchmark dataset. Results indicate that the proposed system is able to outperform standalone LiDAR-based 3D Object detection.
A fiber optic DC voltage sensor based on an intensity modulation scheme is proposed. Fiber optic voltage sensors have the advantage over conventional voltage sensors in that they offer voltage isolation and can easily...
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ISBN:
(纸本)9781628410358
A fiber optic DC voltage sensor based on an intensity modulation scheme is proposed. Fiber optic voltage sensors have the advantage over conventional voltage sensors in that they offer voltage isolation and can easily be incorporated in telecommunication systems. The intensity modulation approach to sensing is a less costly and simpler measurement system compared to other available fiber optic voltage sensor techniques. Intensity modulation is achieved using a piezoelectric ceramic which produces a displacement on application of a voltage varying the transmitted optical power in a fiber to fiber coupling system. A critical analysis was performed on the theory behind the intensity modulation scheme for fiber voltage sensing. Simulations and experimental investigations based on this concept showed good linearity between the applied voltage and optical power in the fiber. The feasibility of obtaining a single valued relationship for voltage sensing purposes was also observed. The constructed voltage sensor produced useful results with the sensor exhibiting good linearity in forward and reverse voltages over a DC voltage of 0V to 100V but exhibited hysteresis. A linearity of 92% and 88.8% was measured for the forward and reverse voltages respectively and a dynamic range of approximately 0.3dB over the 100V range was achieved with a resolution of 1.9V. The hysteresis in the sensor was measured at 20%. Based on the results obtained recommendations have been made on a more linear, lower hysteresis and stable sensor of this type.
Network traffic demands grow explosively from multimedia, point-to-point, and E-Science applications. In order to meet such tremendous growth, Optical networks has been introduced for exploring higher bandwidth and be...
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ISBN:
(纸本)9781424439997
Network traffic demands grow explosively from multimedia, point-to-point, and E-Science applications. In order to meet such tremendous growth, Optical networks has been introduced for exploring higher bandwidth and better QoS guarantee. Problems arise when integrating the whole new optical infrastructure with current IP backbone, including controlling data path and network management. In this paper, we discuss the design issues of alarm management in hybrid networks containing DWDM, SDH and IP technologies. For instance, when there is a fiber cut in DWDM layer, tens of alarms would appear concurrently indicating network breakdowns in DWDM, SDH and IP layer separately, which will confuse network engineers for identifying fault location. Therefore, we propose a novel correlation method among these layers according to a pre-defined correlation diagram. Several test scenarios are experimented in out lab in order to illustrate the correlation diagram. Our contribution would benefit network carriers maintaining hybrid networks for root-cause finding among alarms cross different network layers.
With the advancement of science and technology, SHM application through smart materials from graphene are becoming more popular than ever before. The physics behind graphene sensor has become an area of suitable inter...
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ISBN:
(纸本)9781510625969
With the advancement of science and technology, SHM application through smart materials from graphene are becoming more popular than ever before. The physics behind graphene sensor has become an area of suitable interest owing to its Non-destructive application in structural components. Smart material sensors being allotrope form of carbon has been basically used for piezoresistive application purposes in composites, environmental monitoring and also in health applications. Here Gnp (graphene nano platelet) sensor has been used for SHM monitoring in structural components. We employed various Non-destructive methods such as SEM spectroscopy, Raman spectroscopy to find out sensor's characterization in straining action associated with structural components with the help of GNP sensor.
Physiological parameters during the exercise are instructive. According the heart rate, body temperature and etc, users could improve their sport performance, and be beneficial to their health. In addition, such equip...
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Intelligent Transport systems(ITS) are under active development in many countries as a construction program of social infrastructures, in which many kinds of sensor technologies are being used or studied. This paper c...
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ISBN:
(纸本)0819438480
Intelligent Transport systems(ITS) are under active development in many countries as a construction program of social infrastructures, in which many kinds of sensor technologies are being used or studied. This paper categorizes the sensing needs for some typical service applications, and introduces four examples utilizing optical sensing technologies.
This paper investigates the characterization and functional performance of a piezoelectric polyvinylidene fluoride (PVDF) sensor embedded into an aluminum plate using ultrasonic additive manufacturing (UAM). While con...
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ISBN:
(纸本)9781510660854;9781510660861
This paper investigates the characterization and functional performance of a piezoelectric polyvinylidene fluoride (PVDF) sensor embedded into an aluminum plate using ultrasonic additive manufacturing (UAM). While conventional manufacturing techniques such as non-resin-based powder metallurgy are being used to surface-mount smart materials to metals, they pose their own set of problems. Standard manufacturing approaches can physically damage the sensor or deteriorate electrochemical properties of the active material due to high processing temperatures or long adhesive settling times. In contrast, UAM integrates solid-state metal joining with subtractive processes to enable the fabrication of smart structures by embedding sensors, actuators, and electronics in metal-matrices without thermal loading. In this paper, a commercial PVDF sensor is embedded in aluminum with a pre-compression to provide frictional coupling between the sensor and the metal-matrix, thus eliminating the need for adhesives. Axial impact and bending (shaker) tests are conducted on the specimen to characterize the PVDF sensor's frequency bandwidth and impact detection performance. Metal-matrices with active components have been under investigation to functionalize metals for various applications including aerospace, automotive, and biomedical. UAM embedment of sensors in metals enables functionalization of structures for measurement of stresses and temperature within the structure while also serving to shield smart components from environmental hazards. This technique can serve a wide-range of applications including robotics and tactile sensing, energy harvesting, and structural health monitoring.
The application of lasers in remote sensing conventionally involves a monostatic approach, with the laser and sensor nearly exactly coaligned. This arises from the practical consideration where the remote sensing plat...
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ISBN:
(纸本)0819428310
The application of lasers in remote sensing conventionally involves a monostatic approach, with the laser and sensor nearly exactly coaligned. This arises from the practical consideration where the remote sensing platform holds the both the laser and sensor in close proximity. A major problem in such a system is the calibration for retroreflection, which may amount to up to a factor of 10 above that for a diffuse ground calibration target. The amount of retroreflection peaking depends not only upon the calibration target, but also on the target to be sensed, as well as the polarization properties of the illuminating laser. The optical properties of various natural and man made calibration target materials will be discussed in the wavelength range from the ultraviolet to the near infrared. An attempt will be made to guide the user in the design of polarizing remote sensing systems to enhance contrast.
Current distributed systems increasingly rely on hybrid architectures built on top of IoT, edge, and cloud, backed by dynamically configurable networking technologies like 5G. In this complex environment, traditional ...
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ISBN:
(纸本)9781665400626
Current distributed systems increasingly rely on hybrid architectures built on top of IoT, edge, and cloud, backed by dynamically configurable networking technologies like 5G. In this complex environment, traditional security governance solutions cannot provide the holistic view needed to manage these systems in an effective and efficient way. In this paper, we propose a security assurance framework for edge and IoT systems based on an advanced architecture capable of dealing with 5G-native applications.
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