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利用对称结构和结合差分进化的文化算法检测阵列中的故障传感器 Article

Shafqat Ullah KHAN,Ijaz Mansoor QURESHI,Fawad ZAMAN,Wasim KHAN

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 2,   Pages 235-245 doi: 10.1631/FITEE.1500315

Abstract: 本文解决了从N个传感器组成的线性阵列中检测完全或部分缺陷传感器的问题。本文首先提出了一种线性阵列的对称结构，其次，基于结合差分进化的文化算法，建立了一种混合技术。对称结构具有两个优点：(1)不需要找到所有损坏的模式，仅需找到(N–1)/2个必需模式；(2)不需要扫描0°到180°区域，仅需扫描0°到90°区域。显然，这样可以减少计算的复杂度。

Keywords： 文化算法；差分进化；线性对称传感器阵列    

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应用完备集合固有时间尺度分解和混合差分进化和粒子群算法优化的最小二乘支持向量机对柴油机进行故障诊断 Article

俊红 张,昱 刘

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 2,   Pages 272-286 doi: 10.1631/FITEE.1500337

Abstract: 针对固有时间尺度分解算法的模态混叠问题和最小二乘支持向量机的参数优化问题，本文提出了一种新的基于完备集合固有时间尺度分解和混合差分进化和粒子群算法优化最小二乘支持向量机的柴油机故障诊断方法。该方法主要包括以下几个步骤：首先，为解决固有时间尺度分解算法的模态混叠问题，提出了一种完备集合固有时间尺度分解算法。随后，利用完备集合固有时间尺度分解算法将非平稳的柴油机振动信号分解为一系列平稳的旋转分量和残差信号。最后，提出了混合差分进化和粒子群算法对最小二乘支持向量机的参数进行优化的方法，并通过将故障特征输入训练好的最小二乘支持向量机模型实现故障诊断。

Keywords： 柴油机；故障诊断；完备集合固有时间尺度分解；最小二乘支持向量机；混合差分进化和粒子群优化算法    

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Differential evolution based computation intelligence solver for elliptic partial differential equations Research Article

Muhammad Faisal Fateh, Aneela Zameer, Sikander M. Mirza, Nasir M. Mirza, Muhammad Saeed Aslam, Muhammad Asif Zahoor Raja,muhammad.aslam@adelaide.edu.au

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 10,   Pages 1445-1456 doi: 10.1631/FITEE.1900221

Abstract: A based methodology is introduced for the solution of elliptic s (PDEs) with Dirichlet and/or Neumann boundary conditions. The solutions evolve over bounded domains throughout the interior nodes by minimization of nodal deviations among the population. The elliptic PDEs are replaced by the corresponding system of finite difference approximation, yielding an expression for nodal residues. The global residue is declared as the root-mean-square value of the nodal residues and taken as the cost function. The standard is then used for the solution of elliptic PDEs by conversion to a minimization problem of the global residue. A set of benchmark problems consisting of both linear and nonlinear elliptic PDEs has been considered for validation, proving the effectiveness of the proposed algorithm. To demonstrate its robustness, sensitivity analysis has been carried out for various operators and parameters. Comparison of the based computed nodal values with the corresponding data obtained using the exact analytical expressions shows the accuracy and convergence of the proposed methodology.

Keywords： 差分进化；边界值问题；偏微分方程；有限差分法；数值计算    

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Study of Topology Control Based on Genetic Algorithm in Wireless Sensor Networks

Liu Linfeng,zhuanyanyan,Liu Ye

Strategic Study of CAE 2008, Volume 10, Issue 2,   Pages 66-71

Abstract:

The chief objective of wireless sensor networks designing is to pr ol ong the lifetime of networks, and topology control is the basic support for the objective. Aiming at the defect is that high redundancy of connectivity or low r obu st of structure in traditional methods, the problem was transformed into a model of multi-criteria minimum spanning tree ultimately, and a genetic algorithm wa s designed to deal with the model. A topology control method based on genetic alg orithm was proposed in this paper. The result of simulations suggests a topology with low total power consumption, high robust structure and low contention amon g nodes can be obtained by this method, and the lifetime of networks can be prol onged on the topology.

Keywords： wireless sensor network     topology control     multi-criteria minimum spanning tree problems     genetic algorithm    

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Cross-layer QoS routing algorithm of metric-based cooperative relay in WSNs

Xu Nan,Sun Yamin,Yu Jiming,Wang Hua

Strategic Study of CAE 2011, Volume 13, Issue 3,   Pages 45-49

Abstract:

We proposed a cross-layer QoS routing algorithm which is metric-based cooperative relay initiative forwarding(MCRICQR). Nodes form a metric according to energy, channel, congestion and distance to sink. The node with maximal metric forwards or relays or leapfrogs the data in term of it's own states. Simulation results show that MCRICQR can prolong the lifetime of network and guarantee the required QoS. It also can transmit data in time and load balance which improve the reliability and energy efficiency and throughput of WSN(wireless sensor network).

Keywords： quality of service     cross-layer design     cooperative relay     initiative forwarding     wireless sensor network    

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The Pendulum Characteristic of Natural Convection Gas and the Application for Sensor

Zhang Fuxue

Strategic Study of CAE 2002, Volume 4, Issue 8,   Pages 50-53

Abstract:

It is discovered that the natural convection gas has the pendulum characteristic, so the new concept of gas pendulum is presented. In this paper, the buoyancy lift of natural convection gas is analyzed in a hermetic chamber, and given the formula between the buoyancy lift and the change of temperature. The results of experiment have shown that gas pendulum can be utilized to measure the acceleration and tilt angle as same as solid pendulum and liquid pendulum.

Keywords： gas pendulum characteristic     tilt sensor     accelerometer    

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An Area Changeable Capacitive Micro-machined Accelerometer

Li Baoqing,Lu Deren,Wang Weiyuan

Strategic Study of CAE 2000, Volume 2, Issue 2,   Pages 36-40

Abstract:

In this paper, a newly developed accelerometer based on the principle of area changeable capacitance is presented at the first time. The movable mass is designed as many bars connected together and suspended by elastic beams. Two comb-shaped fixed electrodes with their fingers side by side are alternately placed under the mass. The mass moves in the direction parallel with the substrate plane under the effect of acceleration. The movable mass and fixed electrodes compose a differential capacitor unit. It is concluded by theoretical analysis that the signal of the acceleration is only proportionally related to the area between movable mass and fixed electrodes but not related to the gap between them. The parasitic capacitance Cp between the mass and fixed electrodes and CB induced by boundary effect both lower the sensitivity of the accelerometer by about 20 % , and lead to a vertical effect on accelerometer that could be ignored if compared with the sensitivity. The quasi-LIGA technology with Ni as structure layer and Cu as sacrificial layer is used to fabricate the sensor chips. The fixed electrodes are fabricated on a glass substrate. A Cu sacrificial layer used to determine the gap between the mass and fixed electrodes is then electroplated with the fixed electrodes layer. Finally, the movable Ni mass is also electroplated with the Cu layer and is released after selective etch of the Cu layer. After packaging in IC ceramic die under atmosphere, the accelerometer is put on avibrator to be tested under a frequency of 25 Hz. The output signal is connected to the interface circuit with electric wires. The experimental results show that the accelerometer has typical sensitivity of 58.1 mV/ (m·s-2) and non-linearity of 4% FS in operating range of 20 m/s2. The obtained non-linearity is not ideal and the reason is discussed based on experimental conditions

Keywords： capacitance     accelerometer     area changeable    

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Acoustic localization with multi-layer isogradient sound speed profile using TDOA and FDOA Research Article

Dongzhou ZHAN, Sitian WANG, Shougui CAI, Huarong ZHENG, Wen XU,wxu@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 1,   Pages 164-175 doi: 10.1631/FITEE.2100398

Abstract: In the underwater medium, the speed of sound varies with water depth, temperature, and salinity. The inhomogeneity of water leads to bending of sound rays, making the existing localization algorithms based on straight-line propagation less precise. To realize high-precision node positioning in s (UASNs), a multi-layer isogradient (SSP) model is developed using the linear segmentation approximation approach. Then, the sound ray tracking problem is converted into a polynomial root-searching problem. Based on the derived gradient of the signal's Doppler shift at the sensor node, a novel underwater node localization algorithm is proposed using both the and . Simulations are implemented to illustrate the effectiveness of the proposed algorithm. Compared with the traditional straight-line propagation method, the proposed algorithm can effectively handle the sound ray bending phenomenon. Estimation accuracy with different SSP modeling errors is also investigated. Overall, accurate and reliable node localization can be achieved.

Keywords： Underwater acoustic sensor network     Acoustic localization     Sound speed profile     Time difference of arrival (TDOA)     Frequency difference of arrival (FDOA)    

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An efficient lossy link localization approach for wireless sensor networks Article

Wen-yan CUI, Xiang-ru MENG, Bin-feng YANG, Huan-huan YANG, Zhi-yuan ZHAO

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 5,   Pages 689-707 doi: 10.1631/FITEE.1601247

Abstract: Network fault management is crucial for a wireless sensor network (WSN) to maintain a normal running state because faults (e.g., link failures) often occur. The existing lossy link localization (LLL) approach usually infers the most probable failed link set first, and then gives the fault hypothesis set. However, the inferred failed link set contains many possible failures that do not actually occur. That quantity of redundant information in the inferred set can pose a high computational burden on fault hy-pothesis inference, and consequently decreases the evaluation accuracy and increases the failure localization time. To address the issue, we propose the conditional information entropy based redundancy elimination (CIERE), a redundant lossy link elimination approach, which can eliminate most redundant information while reserving the important information. Specifically, we develop a probabilistically correlated failure model that can accurately reflect the correlation between link failures and model the nonde-terministic fault propagation. Through several rounds of mathematical derivations, the LLL problem is transformed to a set-covering problem. A heuristic algorithm is proposed to deduce the failure hypothesis set. We compare the performance of the proposed approach with those of existing LLL methods in simulation and on a real WSN, and validate the efficiency and effec-tiveness of the proposed approach.

Keywords： Lossy link localization     Redundancy eliminating algorithm     Set-covering     Wireless sensor networks (WSNs)     Network diagnosis    

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Micro-cantilever Electric Field Sensor Driven by Electrostatic Force Article

Zhifei Han, Jun Hu, Licheng Li, Jinliang He

Engineering 2023, Volume 24, Issue 5,   Pages 184-191 doi: 10.1016/j.eng.2022.06.017

Abstract:

With the development of smart grids and the energy Internet, large-scale monitoring of voltage and electric field data is required in all aspects of power systems, which requires the arrangement of various advanced sensors. Measurement of the electric field can replace traditional voltage transformers to realize the non-contact measurement of voltage, which reduces the insulation cost and the difficulty of operation and maintenance. Electric field measurement can also be applied in various other areas, such as equipment fault diagnosis, lightning warning, and electromagnetic environment measurement. Traditional electric field measurement devices, such as field mills, are bulky and costly, so they cannot be arranged flexibly on a large scale. In this paper, we present an electrostatically actuated micro-electric field sensor (E-sensor) with a piezoresistive sensing structure. The presented E-sensor is fabricated into a four-cantilever structure using microfabrication technology. The cantilevers are displaced under the drive of the electrostatic force, and the generated strain is transformed into measurable signals through piezoresistive materials. The presented E-sensor has the advantages of small size, low cost, low power consumption, and easy mass production. Moreover, the E-sensor has a high signal-to-noise ratio, high resolution, and wide measuring range. The experimental results show that the E-sensor has a linear electric field measurement range from 1.1 to 1100 kV·m−1 with an alternating current (AC) resolution of up to 112 V·m−1·Hz−1/2 and a cut-off frequency of 496 Hz, making it suitable for most applications in smart grids and the energy Internet.

Keywords： Microsensors     Electric sensing devices     Microfabrication     Piezoresistive devices    

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Wearable Sweat Sensors

Elizabeth K. Wilson

Engineering 2019, Volume 5, Issue 3,   Pages 359-360 doi: 10.1016/j.eng.2019.04.008

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Big Data for Precision Medicine

Daniel Richard Leff, Guang-Zhong Yang

Engineering 2015, Volume 1, Issue 3,   Pages 277-279 doi: 10.15302/J-ENG-2015075

Abstract:

This article focuses on the potential impact of big data analysis to improve health, prevent and detect disease at an earlier stage, and personalize interventions. The role that big data analytics may have in interrogating the patient electronic health record toward improved clinical decision support is discussed. We examine developments in pharmacogenetics that have increased our appreciation of the reasons why patients respond differently to chemotherapy. We also assess the expansion of online health communications and the way in which this data may be capitalized on in order to detect public health threats and control or contain epidemics. Finally, we describe how a new generation of wearable and implantable body sensors may improve wellbeing, streamline management of chronic diseases, and improve the quality of surgical implants.

Keywords： big data     biosensors     body-sensing networks     implantable sensors     clinical decision support systems     pharmacogenetics     mHealth    

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Research of Gas Qualitative Analysis Using Self-organizing Competitive Network

Tai Huiling,Xie Guangzhong,Jiang Yadong

Strategic Study of CAE 2006, Volume 8, Issue 1,   Pages 81-84

Abstract:

The semiconductor gas sensors sensitive to hydrogen and carbon monoxide are chosen to compose the gas sensor array, and an on-line data acquisition system is constructed, which is combined with the pattern recognition techniques of self organizing competitive network for the research of gas qualitative analysis. In order to eliminate the effect produced by the gas concentration, three kinds of normalization methods are developed to pre-process the sensors responses toward hydrogen and carbon monoxide. The research results show that the accurate identification of hydrogen and carbon monoxide in the finite range could be accomplished by relative method.

Keywords： gas sensor array     self organizing competitive network     qualitative analysis    

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Motion detection for high-speed high-brightness objects based on a pulse array image sensor Research Article

Peiwen ZHANG, Jiangtao XU, Huafeng NIE, Zhiyuan GAO, Kaiming NIE,authorneptune@tju.edu.cn,xujiangtao@tju.edu.cn,niehuafeng_ee@163.com,flyuphigher@outlook.com,nkaiming@tju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 1,   Pages 113-122 doi: 10.1631/FITEE.2000407

Abstract: We describe a method of extraction for high-speed high-brightness targets based on a pulse array image sensor (PAIS). PAIS is a with pixels triggered by light; it can convert light into a series of pulse intervals. This method can obtain from pulse data directly by accumulating continuous pulses. The triggered points can be used to filter redundant data when the target is brighter than the background. The method takes full advantage of the rapid response of PAIS to high-brightness targets. We applied this method to extract the of high-speed turntables with different background brightness, with the sensor model and actual data, respectively. Under the sampling condition of 2×10 frames/s, the could be extracted from a high-speed turntable rotating at 1000 r/min. More than 90% of redundant points could be filtered by our method. Experimental results showed that the extraction algorithm based on pulse data can extract the information of high-brightness objects efficiently without the need to reconstruct images.

Keywords： Optical flow     Retina-like image sensor     Pulse triggered     High-speed targets     Vision processing    

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Perspectives of Individual-Worn Sensors Assessing Personal Environmental Exposure

Uwe Schlink, Maximilian Ueberham

Engineering 2021, Volume 7, Issue 3,   Pages 285-289 doi: 10.1016/j.eng.2020.07.023

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Title Author Date Type Operation

利用对称结构和结合差分进化的文化算法检测阵列中的故障传感器

Shafqat Ullah KHAN,Ijaz Mansoor QURESHI,Fawad ZAMAN,Wasim KHAN

Journal Article

应用完备集合固有时间尺度分解和混合差分进化和粒子群算法优化的最小二乘支持向量机对柴油机进行故障诊断

俊红 张,昱 刘

Journal Article

Differential evolution based computation intelligence solver for elliptic partial differential equations

Muhammad Faisal Fateh, Aneela Zameer, Sikander M. Mirza, Nasir M. Mirza, Muhammad Saeed Aslam, Muhammad Asif Zahoor Raja,muhammad.aslam@adelaide.edu.au

Journal Article

Study of Topology Control Based on Genetic Algorithm in Wireless Sensor Networks

Liu Linfeng,zhuanyanyan,Liu Ye

Journal Article

Cross-layer QoS routing algorithm of metric-based cooperative relay in WSNs

Xu Nan,Sun Yamin,Yu Jiming,Wang Hua

Journal Article

The Pendulum Characteristic of Natural Convection Gas and the Application for Sensor

Zhang Fuxue

Journal Article

An Area Changeable Capacitive Micro-machined Accelerometer

Li Baoqing,Lu Deren,Wang Weiyuan

Journal Article

Acoustic localization with multi-layer isogradient sound speed profile using TDOA and FDOA

Dongzhou ZHAN, Sitian WANG, Shougui CAI, Huarong ZHENG, Wen XU,wxu@zju.edu.cn

Journal Article

An efficient lossy link localization approach for wireless sensor networks

Wen-yan CUI, Xiang-ru MENG, Bin-feng YANG, Huan-huan YANG, Zhi-yuan ZHAO

Journal Article

Micro-cantilever Electric Field Sensor Driven by Electrostatic Force

Zhifei Han, Jun Hu, Licheng Li, Jinliang He

Journal Article

Wearable Sweat Sensors

Elizabeth K. Wilson

Journal Article

Big Data for Precision Medicine

Daniel Richard Leff, Guang-Zhong Yang

Journal Article

Research of Gas Qualitative Analysis Using Self-organizing Competitive Network

Tai Huiling,Xie Guangzhong,Jiang Yadong

Journal Article

Motion detection for high-speed high-brightness objects based on a pulse array image sensor

Peiwen ZHANG, Jiangtao XU, Huafeng NIE, Zhiyuan GAO, Kaiming NIE,authorneptune@tju.edu.cn,xujiangtao@tju.edu.cn,niehuafeng_ee@163.com,flyuphigher@outlook.com,nkaiming@tju.edu.cn

Journal Article

Perspectives of Individual-Worn Sensors Assessing Personal Environmental Exposure

Uwe Schlink, Maximilian Ueberham

Journal Article