Chemical sensor arrays can obtain more comprehensive analyte information through high-dimensional data.It is of great significance in the analysis of multi-component complex samples.This review summarizes the developm...Chemical sensor arrays can obtain more comprehensive analyte information through high-dimensional data.It is of great significance in the analysis of multi-component complex samples.This review summarizes the development and status of chemical sensor arrays.We focused on the design of chemical sensor arrays based on various sensing materials.In addition,several pattern recognition methods in chemometrics are introduced.And applications of chemical sensor arrays in food monitoring,medical diagnosis,and environmental monitoring are illustrated.Based on the analysis of the limitations of current sensor array technology,the direction of the array is also predicted.This review aims to help the broad readership understand the research state of chemical sensor arrays and their development prospects.展开更多
This paper presents a low?complexity method for the direction?of?arrival(DOA)estimation of noncircular signals for coprime sensor arrays.The noncircular property is exploited to improve the performance of DOA estimati...This paper presents a low?complexity method for the direction?of?arrival(DOA)estimation of noncircular signals for coprime sensor arrays.The noncircular property is exploited to improve the performance of DOA estimation.To reduce the computational complexity,the rotational invariance propagator method(RIPM)is included in the algorithm.First,the extended array output is reconstructed by combining the array output and its conjugated counterpart.Then,the RIPM is utilized to obtain two sets of DOA estimates for two subarrays.Finally,the true DOAs are estimated by combining the consistent results of the two subarrays.This illustrates the potential gain that both noncircularity and coprime arrays provide when considered together.The proposed algorithm has a lower computational complexity and a better DOA estimation performance than the standard estimation of signal parameters by the rotational invariance technique and Capon algorithm.Numerical simulation results illustrate the effectiveness and superiority of the proposed algorithm.展开更多
Magnetic sensor arrays are proposed to measure electric current in a non-contact way. In order to achieve higher accuracy, signal processing techniques for magnetic sensor arrays are utilized. Simulation techniques ar...Magnetic sensor arrays are proposed to measure electric current in a non-contact way. In order to achieve higher accuracy, signal processing techniques for magnetic sensor arrays are utilized. Simulation techniques are necessary to study the factors influencing the accuracy of current measurement. This paper presents a simulation method to estimate the impact of sensing area and position of sensors on the accuracy of current measurement. Several error models are built up to support computer-aided design of magnetic sensor arrays.展开更多
Multiplexing technologies based on superconducting quantum interference devices(SQUIDs) are crucial to cryogenic readout of superconducting transition-edge sensor(TES) arrays. Demands for large-scale TES arrays promot...Multiplexing technologies based on superconducting quantum interference devices(SQUIDs) are crucial to cryogenic readout of superconducting transition-edge sensor(TES) arrays. Demands for large-scale TES arrays promote the development of multiplexing technologies towards large multiplexing factors and low readout noise. The development of multiplexing technologies also facilitates new applications of TES arrays in a wide range of frequencies. Here we summarize different types of SQUID-based multiplexing technologies including time-division multiplexing, code-division multiplexing, frequency-division multiplexing and microwave SQUID multiplexing. The advances and parameter constraints of each multiplexing technology are also discussed.展开更多
The identification of indoor harmful gases is imperative due to their significant threats to human health and safety.To achieve accurate identification,an effective strategy of constructing a sensor array combined wit...The identification of indoor harmful gases is imperative due to their significant threats to human health and safety.To achieve accurate identification,an effective strategy of constructing a sensor array combined with the pattern recognition algorithm is employed.Carbon-based thin-film transistors are selected as the sensor array unit,with semiconductor carbon nanotubes(CNTs)within the TFT channels modified with different metals(Au,Cu and Ti)for selective responses to NH_(3),H_(2)S and HCHO,respectively.For accurate gas species identification,an identification mode that combines linear discriminant analysis algorithms and logistic regression classifier is developed.The test results demonstrate that by preprocessing the sensor array’s sensing data with the LDA algorithm and subsequently employing the LR classifier for identification,a 100%recognition rate can be achieved for three target gases(NH3,H2S and HCHO).This work provides significant guidance for future applications of chip-level gas sensors in the realms of the Internet of Things and Artificial Intelligence.展开更多
Distributed pressure sensor array is a promising approach for the estimation of flight parameters for small unmanned aerial vehicles.Current flexible pressure sensor arrays are conventionally subjected to limited sens...Distributed pressure sensor array is a promising approach for the estimation of flight parameters for small unmanned aerial vehicles.Current flexible pressure sensor arrays are conventionally subjected to limited sensor resolution,poor bending flexibility,and inadequate packaging protection,resulting in insufficient precision for flight parameter estimation.Here we present a high-resolution differential pressure sensor array using a calorimetric measurement method and a multilayer polyimide bonding technique.The proposed differential pressure sensor array reaches a detection limit of 36.5 mPa over a range of 500 Pa and shows high repeatability when attached to varying curved surfaces.In addition,a superhydrophobic packaging is integrated into the sensor fabrication process,endowing it with waterproof capability.Utilizing a multilayer perceptron neural network,we demonstrated the function of the sensor array in estimating airspeeds and angle of attacks,achieving average solving errors of 0.15 m/s and 0.37°,respectively.展开更多
Recently,multidimensional(or multi-channel)sensing methodology has attracted broad attention in the field of analytical chemistry due to its fascinating merits.A variety of multidimensional sensors based on sensor arr...Recently,multidimensional(or multi-channel)sensing methodology has attracted broad attention in the field of analytical chemistry due to its fascinating merits.A variety of multidimensional sensors based on sensor arrays,lab-on-a-molecule/nanoparticle and smart chip strategies have been designed to differentiate chemical structure and property similar analytes and complex samples.Pattern recognition algorithms are usually used and allow these sensors to fulfill such proposes.In this review,the recent advances of multidimensional sensor devices were firstly summarized,and particularly focused on their design strategies and applications in monitoring of biological active molecules,biomarkers,microbes,foods and beverages,etc.Then,some limitations and possible solutions of multidimensional sensors were discussed.And finally,potential applications of this technique in the future were proposed.This review would help the readers who are interested in multidimensional sensing methodology to understand the research progresses and trends.展开更多
基金funded by Natural Science Foundation of Heilongjiang Province(No.LH2022B004)Fundamental Research Funds for the Central Universities(No.2572022DJ01)+1 种基金111 Project(No.B20088)Heilongjiang Touyan Innovation Team Program(Tree Genetics and Breeding Innovation Team)。
文摘Chemical sensor arrays can obtain more comprehensive analyte information through high-dimensional data.It is of great significance in the analysis of multi-component complex samples.This review summarizes the development and status of chemical sensor arrays.We focused on the design of chemical sensor arrays based on various sensing materials.In addition,several pattern recognition methods in chemometrics are introduced.And applications of chemical sensor arrays in food monitoring,medical diagnosis,and environmental monitoring are illustrated.Based on the analysis of the limitations of current sensor array technology,the direction of the array is also predicted.This review aims to help the broad readership understand the research state of chemical sensor arrays and their development prospects.
基金supported by the National Natural Science Foundations of China (Nos.61371169,61601167, 61601504)the Natural Science Foundation of Jiangsu Province (No.BK20161489)+1 种基金the Open Research Fund of State Key Laboratory of Millimeter Waves, Southeast University (No. K201826)the Fundamental Research Funds for the Central Universities (No. NE2017103)
文摘This paper presents a low?complexity method for the direction?of?arrival(DOA)estimation of noncircular signals for coprime sensor arrays.The noncircular property is exploited to improve the performance of DOA estimation.To reduce the computational complexity,the rotational invariance propagator method(RIPM)is included in the algorithm.First,the extended array output is reconstructed by combining the array output and its conjugated counterpart.Then,the RIPM is utilized to obtain two sets of DOA estimates for two subarrays.Finally,the true DOAs are estimated by combining the consistent results of the two subarrays.This illustrates the potential gain that both noncircularity and coprime arrays provide when considered together.The proposed algorithm has a lower computational complexity and a better DOA estimation performance than the standard estimation of signal parameters by the rotational invariance technique and Capon algorithm.Numerical simulation results illustrate the effectiveness and superiority of the proposed algorithm.
基金Supported by National High-Tech Industry Development Project (1883)
文摘Magnetic sensor arrays are proposed to measure electric current in a non-contact way. In order to achieve higher accuracy, signal processing techniques for magnetic sensor arrays are utilized. Simulation techniques are necessary to study the factors influencing the accuracy of current measurement. This paper presents a simulation method to estimate the impact of sensing area and position of sensors on the accuracy of current measurement. Several error models are built up to support computer-aided design of magnetic sensor arrays.
基金Project supported by the National Science Foundation of China (Grant Nos. 11653001 and 11653004)。
文摘Multiplexing technologies based on superconducting quantum interference devices(SQUIDs) are crucial to cryogenic readout of superconducting transition-edge sensor(TES) arrays. Demands for large-scale TES arrays promote the development of multiplexing technologies towards large multiplexing factors and low readout noise. The development of multiplexing technologies also facilitates new applications of TES arrays in a wide range of frequencies. Here we summarize different types of SQUID-based multiplexing technologies including time-division multiplexing, code-division multiplexing, frequency-division multiplexing and microwave SQUID multiplexing. The advances and parameter constraints of each multiplexing technology are also discussed.
基金financially supported by the National Natural Science Foundation of China(Nos.62071410 and62101477)Hunan Provincial Natural Science Foundation of China(Nos.2021JJ40542 and 2023JJ30596)the science and technology innovation Program of Hunan Province(No.2023RC3133)。
文摘The identification of indoor harmful gases is imperative due to their significant threats to human health and safety.To achieve accurate identification,an effective strategy of constructing a sensor array combined with the pattern recognition algorithm is employed.Carbon-based thin-film transistors are selected as the sensor array unit,with semiconductor carbon nanotubes(CNTs)within the TFT channels modified with different metals(Au,Cu and Ti)for selective responses to NH_(3),H_(2)S and HCHO,respectively.For accurate gas species identification,an identification mode that combines linear discriminant analysis algorithms and logistic regression classifier is developed.The test results demonstrate that by preprocessing the sensor array’s sensing data with the LDA algorithm and subsequently employing the LR classifier for identification,a 100%recognition rate can be achieved for three target gases(NH3,H2S and HCHO).This work provides significant guidance for future applications of chip-level gas sensors in the realms of the Internet of Things and Artificial Intelligence.
基金supported financially by National Natural Science Foundation of China(Nos.T2121003,U23A20638.)the National Key Research and Development Program of China(2023YFB3208000,2023YFB3208001).
文摘Distributed pressure sensor array is a promising approach for the estimation of flight parameters for small unmanned aerial vehicles.Current flexible pressure sensor arrays are conventionally subjected to limited sensor resolution,poor bending flexibility,and inadequate packaging protection,resulting in insufficient precision for flight parameter estimation.Here we present a high-resolution differential pressure sensor array using a calorimetric measurement method and a multilayer polyimide bonding technique.The proposed differential pressure sensor array reaches a detection limit of 36.5 mPa over a range of 500 Pa and shows high repeatability when attached to varying curved surfaces.In addition,a superhydrophobic packaging is integrated into the sensor fabrication process,endowing it with waterproof capability.Utilizing a multilayer perceptron neural network,we demonstrated the function of the sensor array in estimating airspeeds and angle of attacks,achieving average solving errors of 0.15 m/s and 0.37°,respectively.
基金supported by the National Natural Science Foundation of China (21607160, 51872300, U1832110)the Zhejiang Provincial Natural Science Foundation of China (LY16B050005)+1 种基金Ningbo Science and Technology Bureau (2016C50009)the W. C. Wong Education Foundation (rczx0800)
文摘Recently,multidimensional(or multi-channel)sensing methodology has attracted broad attention in the field of analytical chemistry due to its fascinating merits.A variety of multidimensional sensors based on sensor arrays,lab-on-a-molecule/nanoparticle and smart chip strategies have been designed to differentiate chemical structure and property similar analytes and complex samples.Pattern recognition algorithms are usually used and allow these sensors to fulfill such proposes.In this review,the recent advances of multidimensional sensor devices were firstly summarized,and particularly focused on their design strategies and applications in monitoring of biological active molecules,biomarkers,microbes,foods and beverages,etc.Then,some limitations and possible solutions of multidimensional sensors were discussed.And finally,potential applications of this technique in the future were proposed.This review would help the readers who are interested in multidimensional sensing methodology to understand the research progresses and trends.
