In this paper, an auxetic design is proposed for the flexible membrane of a piezoelectric pulse sensor and computationally analyzed for a high-sensitivity vibration sensing in micro electro-mechanical system (MEMS). A...
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ISBN:
(数字)9781510635364
ISBN:
(纸本)9781510635364
In this paper, an auxetic design is proposed for the flexible membrane of a piezoelectric pulse sensor and computationally analyzed for a high-sensitivity vibration sensing in micro electro-mechanical system (MEMS). Auxetics are metamaterial structures with negative Poisson's ratio which enables sensor's flexible diaphragm to be expanded in both longitudinal and transverse directions easily. The sensitivity of a pulse sensor with an auxetic membrane was studied and compared to an equivalent plain membrane when the substrate was under harmonic bending. The sensing response was determined for the both models using detailed Finite Element Model (FEM) simulations. The sensor with the auxetic membrane demonstrated excellent sensitivity output over a harmonic pressure input which shows its strong potential for high-sensitive MEMS sensing applications. A detailed fabrication process is also discussed.
Wind power is a renewable source of energy that is quickly gaining acceptance by many. advancedsensor technologies have currently focused solely on improving wind turbine rotor aerodynamics and increasing of the effi...
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ISBN:
(纸本)9780819471192
Wind power is a renewable source of energy that is quickly gaining acceptance by many. advancedsensor technologies have currently focused solely on improving wind turbine rotor aerodynamics and increasing of the efficiency of the blade design and concentration. Alternatively, potential improvements in wind plant efficiency may be realized through reduction of reactionary losses of kinetic energy to the structural and substructural systems supporting the turbine mechanics. Investigation of the complete dynamic structural response of the wind plant is proposed using a large-scale, high-rate wireless sensor network. The wireless network enables sensors to be placed across the sizable structure, including the rotating blades, without consideration of cabling issues and the economic burden associated with large spools of measurement cables. A large array of multi-axis accelerometers is utilized to evaluate the modal properties of the system as well as individual members and would enable long-term structural condition monitoring of the wind turbine as well. Additionally, environmental parameters, including wind speed, temperature, and humidity, are wirelessly collected for correlation. Such a wireless system could be integrated with electrical monitoring sensors and actuators and incorporated into a remote multi-turbine centralized plant monitoring and control system.
Gait recognition is a promising technology in biometrics in video surveillance applications for its characteristics of non-contact and uniqueness. With the popularization of the Kinect sensor, human gait can be recogn...
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ISBN:
(纸本)9781728109909
Gait recognition is a promising technology in biometrics in video surveillance applications for its characteristics of non-contact and uniqueness. With the popularization of the Kinect sensor, human gait can be recognized based on the 3D skeletal information. For exploiting raw depth data captured by Kinect device effectively, a novel gait recognition approach based on Skeleton Gait Energy Image (SkeGEI) and Relative Distance and Angle (DA) features fusion is proposed. They are fused in backward to complement each other for gait recognition. In order to maintain as much gait information as possible, a CNN-LSTM network is designed to extract the temporal-spatial deep feature information from SkeGEI and DA features. The experiments evaluated on three datasets show that our approach performs superior to most gait recognition approaches with multi-directional and abnormal patterns.
Tightly embedded systems often require low power real time processing of acquired sensor data. This paper presents the design and transistor-level implementation of a mixed-signal processing element for highly area-co...
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ISBN:
(纸本)9781538648599
Tightly embedded systems often require low power real time processing of acquired sensor data. This paper presents the design and transistor-level implementation of a mixed-signal processing element for highly area-constrained systems in applications where approximate computing is sufficient. The analog processing unit consists of a switched capacitor circuit whose imperfections such as finite gain or offset errors are evaluated here through theoretical analyses and Monte Carlo simulations for a CMOS 0.35 mu m technology. Transistor-level simulation results further demonstrate that this processing unit is suitable for image pre-processing tasks such as spatial convolution for edge detection.
The prospect of using humanoid robots in practical applications attracts an important research effort and the latest steps forward in robot technology show many remarkable achievements where design aspects, control sy...
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The prospect of using humanoid robots in practical applications attracts an important research effort and the latest steps forward in robot technology show many remarkable achievements where design aspects, control systems and software evolution regarding humanoid machines have been realised. While aiming to improve humanoid robots' overall performance, it is required that they could work for a long time spending minimum energy without losing their kinematic skills. In this direction, a new kind of non-linear actuator, SMART, based on quasi-resonance principle, has been developed by the Industrial Automation Institute to improve the overall performance of biped locomotion.
The security risks associated with network systems is a topic that has become increasingly significant in this millennium. The increased visibility, the catastrophic financial effects of a number of corporate security...
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ISBN:
(纸本)9781424407156
The security risks associated with network systems is a topic that has become increasingly significant in this millennium. The increased visibility, the catastrophic financial effects of a number of corporate security breaches have made the management of risk of all types is the front-burner issue of all corporate sectors. This paper assesses Information Security that commences with a statement of the problem of information security risks and presents a comprehensive methodology to analyze security risks along with suitable parameters and areas of risks involved. The final outcome of this research is assessing security that is practical enough to be used in real applications with acceptable results, without having to be an expert in the security arena. It is built upon the concepts drawn from the computer security leaders in the industry and are tested.
sensors are ubiquitous in modern manufacturing operations, and they generate significant quantities of data. With the advent of low cost, readily available broad band communication and virtually infinite cloud storage...
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ISBN:
(纸本)9781510626300
sensors are ubiquitous in modern manufacturing operations, and they generate significant quantities of data. With the advent of low cost, readily available broad band communication and virtually infinite cloud storage, many of the old stigmatisms related to taking data from a plant are no longer of concern. However, the question still remains as to what to do with the data. This lecture will discuss the use of large scale data sets from production operations and how they can be leveraged to better understand not only traditional operations, but untapped opportunities from data that are readily available today. Such opportunities provide an improved platform for classical analytic techniques as well as more modern, data intensive approaches to process and operations modeling. The talk will then focus on a specific next generation digital representations and their application to low cost, highly flexible implementations. Examples will be given for both manufacturing operations (additive and subtractive) and validation/verification, as well as how this capability is extensible to cloud computing operations, and next generation technology and business models such as Desktop as a Service (DAAS). A Wireless Accelerometer sensor Platform (WASP) is presented as an extremely low-cost, wireless, and robust method to monitor manufacturing equipment of any age. The talk will conclude with a discussion of the technology, workforce and infrastructural directions and needs to fully enable the next generation digital twin, and where such a capability will drive the future of manufacturing.
A feature-based approach for detecting anomalies in spectral, spatial, temporal, and other domains is described. When the frequency of occurrence is small relative to the background, anomalies such as man-made objects...
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ISBN:
(纸本)9780819466891
A feature-based approach for detecting anomalies in spectral, spatial, temporal, and other domains is described. When the frequency of occurrence is small relative to the background, anomalies such as man-made objects in natural image backgrounds do not form their own clusters, but are instead assigned the nearest background cluster, becoming an outlier (statistical anomaly) in that cluster. Our method clusters data, which may be spectral, spatial, or temporal in nature, into one or more background types and computes the Mahalanobis distance between the data and assigned model (background cluster). The detection of a variety of objects and phenomena in panchromatic and multispectral imagery, and video are illustrated.
In normal fiber, the refractive indices of the core and cladding do not change along the length of the fiber;however, by inducing a periodic modulation of refractive index along the length in the core of the optical f...
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ISBN:
(纸本)9781628412291
In normal fiber, the refractive indices of the core and cladding do not change along the length of the fiber;however, by inducing a periodic modulation of refractive index along the length in the core of the optical fiber, the optical fiber grating is produced. This exhibits very interesting spectral properties and for this reason we propose to develop and integrate a distributed sensor network based on long period fiber gratings (LPFGs) technology which has grating periods on the order of 100 mu m to 1 mm to be embedded in the wing section of aircraft to measure bending and torsion in real-time in order to measure wing deformation of commercial airplanes resulting in extensive benefits such as reduced structural weight, mitigation of induced drag and lower fuel consumption which is fifty percent of total cost of operation for airline industry. Fiber optic sensors measurement capabilities are as vital as they are for other sensing technologies, but optical measurements differ in important ways. In this paper we focus on the testing and aviation requirements for LPFG sensors. We discuss the bases of aviation standards for fiber optic sensor measurements, and the quantities that are measured. Our main objective is to optimize the design for material, mechanical, optical and environmental requirements. We discuss the analysis and evaluation of extensive testing of LPFG sensorsystems such as attenuation, environmental, humidity, fluid immersion, temperature cycling, aging, smoke, flammability, impact resistance, flexure endurance, tensile, vitiation and shock.
This paper presents a performance analysis of the end-to-end sensor-to-cloud personal living platform. The analysis is based on a typical architecture starting from a single sensor and actuator and continuing to the v...
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This paper presents a performance analysis of the end-to-end sensor-to-cloud personal living platform. The analysis is based on a typical architecture starting from a single sensor and actuator and continuing to the virtualized services at smart dust, dew, fog and cloud level. The system is diverse and allows interconnection of different sensors/ actuators technologies directly or throughout gateways. The experiments in a living lab presented use energy harvesters and ZigBee PRO sensors. The results from sensor network are applicable for non-real-time and non-critical data connection. As a final conclusion, we claim that for critical and non-critical measurements that need to be supported in a typical living environment there is a necessity to use different priorities of the services and different sensors as well. (c) 2017 The Authors. Published by Elsevier B.V.
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