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Journal articles on the topic 'Fast sensing system'

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Author: Grafiati
Published: 14 March 2023

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1

Lee, Wilaiporn, Kanabadee Srisomboon, and Akara Prayote. "Fast Spectrum Sensing with Coordinate System in Cognitive Radio Networks." ETRI Journal 37, no. 3 (June 1, 2015): 491–501. http://dx.doi.org/10.4218/etrij.15.0114.0675.

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2

Manojlović, Lazo M. "Robust white-light interferometric sensing system for fast displacement measurement." Applied Optics 53, no. 1 (December 23, 2013): 104. http://dx.doi.org/10.1364/ao.53.000104.

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3

Sun, J., and H. Xiang. "RESEARCH ON KEY TECHNOLOGY OF MINING REMOTE SENSING DYNAMIC MONITORING INFORMATION SYSTEM." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W7 (September 13, 2017): 893–96. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w7-893-2017.

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Problems exist in remote sensing dynamic monitoring of mining are expounded, general idea of building remote sensing dynamic monitoring information system is presented, and timely release of service-oriented remote sensing monitoring results is established. Mobile device-based data verification subsystem is developed using mobile GIS, remote sensing dynamic monitoring information system of mining is constructed, and "timely release, fast handling and timely feedback" rapid response mechanism of remote sensing dynamic monitoring is implemented.
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4

Hu, Chuanzhen, Xianli Wang, Ling Liu, Chuanhai Fu, Kaiqin Chu, and Zachary J. Smith. "Fast confocal Raman imaging via context-aware compressive sensing." Analyst 146, no. 7 (2021): 2348–57. http://dx.doi.org/10.1039/d1an00088h.

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CARCI is a fast confocal Raman imaging system using brightfield images to define the sample ROI, which is imaged 5×–10× faster using compressive sensing. This allowed 98 yeast cells to be imaged in a time a traditional system could only measure 20.
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5

Cai, Z. J., and Li Jiang Zeng. "A Fast Search Coil Sensing Method for Tracking Systems." Key Engineering Materials 295-296 (October 2005): 601–6. http://dx.doi.org/10.4028/www.scientific.net/kem.295-296.601.

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It is important to track a free flying insect to investigate its flight performance. Conventional video tracking systems are difficult to track a highly maneuverable insect, because the capture frequency of the camera is limited and it can hardly get the position of the insect in real time. We proposed a fast sensing method for insect tracking based on magnetic search coil sensors. It can simultaneously determine the orientation and position of the sensors. We constructed a system, calibrated the magnetic device. We developed a set of calculating methods and measured several positions and angles of coil sensors. The results show that it can rapidly provide the tracking feedback information to meet the requirement for insect tracking.
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6

Du, Guang Chao. "The Protection of Thyristor in Motor Control System." Advanced Materials Research 219-220 (March 2011): 908–13. http://dx.doi.org/10.4028/www.scientific.net/amr.219-220.908.

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The bearing ability of thyristor to over-voltage and over-current is poor. According to the causes lead to over-voltage and over-current , adopting over-voltage protection such as RC snubber, vristor, and so on, and limiting reactors, current sensing devices, fast fuses, etc. are used in fast over-current protection.
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Xi CHEN, Dingwen WANG, Qinglin ZHANG, and Guihui XIE. "A Novel Fast-view System for High Resolution Remote Sensing Camera." International Journal of Digital Content Technology and its Applications 6, no. 11 (June 30, 2012): 1–7. http://dx.doi.org/10.4156/jdcta.vol6.issue11.1.

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8

FUKUNAGA, Kohki, and Shinya OHKUBO. "2A2-P20 Development of fast rotation measurement system(Non-contact Sensing)." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2013 (2013): _2A2—P20_1—_2A2—P20_3. http://dx.doi.org/10.1299/jsmermd.2013._2a2-p20_1.

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9

Zhong, Jiandan, Tao Lei, Guangle Yao, Zili Tang, and Yinhui Liu. "Fast aircraft detection using cascaded discriminative model in photoelectric sensing system." Optical Review 24, no. 3 (April 22, 2017): 383–97. http://dx.doi.org/10.1007/s10043-017-0334-y.

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10

Cilurzo, Francesco, Irma Elisa Cupone, Paola Minghetti, Susanna Buratti, Chiara G. M. Gennari, and Luisa Montanari. "Diclofenac fast-dissolving film: suppression of bitterness by a taste-sensing system." Drug Development and Industrial Pharmacy 37, no. 3 (August 12, 2010): 252–59. http://dx.doi.org/10.3109/03639045.2010.505928.

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11

Liang Zihao, 梁梓豪, 高社成 Gao Shecheng, 冯元华 Feng Yuanhua, and 刘伟平 Liu Weiping. "Fast BOTDA Sensing System Based on Coherent Detecting Digital Optical Frequency Comb." Laser & Optoelectronics Progress 55, no. 11 (2018): 110602. http://dx.doi.org/10.3788/lop55.110602.

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12

Noh, Woojin, Yuchan Go, and Hyosung An. "Reduced Graphene Oxide/Polyelectrolyte Multilayers for Fast Resistive Humidity Sensing." Sensors 23, no. 4 (February 10, 2023): 1977. http://dx.doi.org/10.3390/s23041977.

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Fast humidity sensors are of interest due to their potential application in new sensing technologies such as wearable personal healthcare and environment sensing devices. However, the realization of rapid response/recovery humidity sensors remains challenging primarily due to the sluggish adsorption/desorption of water molecules, which particularly impacts the response/recovery times. Moreover, another key factor for fast humidity sensing, namely the attainment of equal response and recovery times, has often been neglected. Herein, the layer-by-layer (LbL) assembly of a reduced graphene oxide (rGO)/polyelectrolyte is demonstrated for application in fast humidity sensors. The resulting sensors exhibit fast response and recovery times of 0.75 and 0.85 s (corresponding to times per RH range of 0.24 and 0.27 s RH−1, respectively), providing a difference of only 0.1 s (corresponding to 0.03 s RH−1). This performance exceeds that of the majority of previously reported graphene oxide (GO)- or rGO-based humidity sensors. In addition, the polyelectrolyte deposition time is shown to be key to controlling the humidity sensing kinetics. The as-developed rapid sensing system is expected to provide useful guidance for the tailorable design of fast humidity sensors.
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13

Ye, Y. "FAST AND ROBUST REGISTRATION OF MULTIMODAL REMOTE SENSING IMAGES VIA DENSE ORIENTATED GRADIENT FEATURE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W7 (September 13, 2017): 1009–15. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w7-1009-2017.

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This paper presents a fast and robust method for the registration of multimodal remote sensing data (e.g., optical, LiDAR, SAR and map). The proposed method is based on the hypothesis that structural similarity between images is preserved across different modalities. In the definition of the proposed method, we first develop a pixel-wise feature descriptor named Dense Orientated Gradient Histogram (DOGH), which can be computed effectively at every pixel and is robust to non-linear intensity differences between images. Then a fast similarity metric based on DOGH is built in frequency domain using the Fast Fourier Transform (FFT) technique. Finally, a template matching scheme is applied to detect tie points between images. Experimental results on different types of multimodal remote sensing images show that the proposed similarity metric has the superior matching performance and computational efficiency than the state-of-the-art methods. Moreover, based on the proposed similarity metric, we also design a fast and robust automatic registration system for multimodal images. This system has been evaluated using a pair of very large SAR and optical images (more than 20000 × 20000 pixels). Experimental results show that our system outperforms the two popular commercial software systems (i.e. ENVI and ERDAS) in both registration accuracy and computational efficiency.
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Ma, Guang Bin, Wen Yi Zhang, and Peng Huang. "Study on Disaster Monitoring Satellite Remote Sensing Data Fast Acquisition Programming Technology." Advanced Materials Research 356-360 (October 2011): 2864–69. http://dx.doi.org/10.4028/www.scientific.net/amr.356-360.2864.

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This paper studies the multi-satellites data fast acquisition programming technology for disaster area, and in this paper a disaster monitoring satellite data fast acquisition programming system is established. After the disaster, the system can program the multi-satellites observation schedule for the disaster area quickly and accurately, it can provide important technical support for the satellite data acquisition of the disaster area.
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Singh, Jai Sukh Paul, Mritunjay Kumar Rai, Gulshan Kumar, Rajwinder Singh, Hye-Jin Kim, and Tai-hoon Kim. "Advanced Multiresolution Wavelet Based Wideband Spectrum Sensing Technique for Cognitive Radio." Wireless Communications and Mobile Computing 2018 (July 29, 2018): 1–13. http://dx.doi.org/10.1155/2018/1908536.

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An advance multiresolution wavelet based approach for wideband spectrum sensing for cognitive radio system is proposed in this paper. Prime focus is made on the coarse detection part for interweaved system, in which unoccupied spectrum can be used efficiently by the cognitive users. Quick and immediate shifting over the sensed vacant channel is extremely vital and is a challenging task. To overcome this issue, fast and efficient spectrum sensing technique is proposed for cognitive radios by improvising the Discrete Wavelet Packet Transform (DWPT) for multiresolution interweaved systems. This proposed scheme not only increases the system speed but also reduces complexity. Simulation results are used to analyse the system performance and numerical analysis for computing system complexity.
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16

Oku, Takanori, and Shinichi Furuya. "Noncontact and High-Precision Sensing System for Piano Keys Identified Fingerprints of Virtuosity." Sensors 22, no. 13 (June 29, 2022): 4891. http://dx.doi.org/10.3390/s22134891.

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Dexterous tool use is typically characterized by fast and precise motions performed by multiple fingers. One representative task is piano playing, which involves fast performance of a sequence of complex motions with high spatiotemporal precision. However, for several decades, a lack of contactless sensing technologies that are capable of precision measurement of piano key motions has been a bottleneck for unveiling how such an outstanding skill is cultivated. Here, we developed a novel sensing system that can record the vertical position of all piano keys with a time resolution of 1 ms and a spatial resolution of 0.01 mm in a noncontact manner. Using this system, we recorded the piano key motions while 49 pianists played a complex sequence of tones that required both individuated and coordinated finger movements to be performed as fast and accurately as possible. Penalized regression using various feature variables of the key motions identified distinct characteristics of the key-depressing and key-releasing motions in relation to the speed and accuracy of the performance. For the maximum rate of the keystrokes, individual differences across the pianists were associated with the peak key descending velocity, the key depression duration, and key-lift timing. For the timing error of the keystrokes, the interindividual differences were associated with the peak ascending velocity of the key and the inter-strike variability of both the peak key descending velocity and the key depression duration. These results highlight the importance of dexterous control of the vertical motions of the keys for fast and accurate piano performance.
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17

Dong, Ruchan, Dazhuan Xu, Lichen Jiao, Jin Zhao, and Jungang An. "A Fast Deep Perception Network for Remote Sensing Scene Classification." Remote Sensing 12, no. 4 (February 22, 2020): 729. http://dx.doi.org/10.3390/rs12040729.

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Current scene classification for high-resolution remote sensing images usually uses deep convolutional neural networks (DCNN) to extract extensive features and adopts support vector machine (SVM) as classifier. DCNN can well exploit deep features but ignore valuable shallow features like texture and directional information; and SVM can hardly train a large amount of samples in an efficient way. This paper proposes a fast deep perception network (FDPResnet) that integrates DCNN and Broad Learning System (BLS), a novel effective learning system, to extract both deep and shallow features and encapsulates a designed DPModel to fuse the two kinds of features. FDPResnet first extracts the shallow and the deep scene features of a remote sensing image through a pre-trained model on residual neural network-101 (Resnet101). Then, it inputs the two kinds of features into a designed deep perception module (DPModel) to obtain a new set of feature vectors that can describe both higher-level semantic and lower-level space information of the image. The DPModel is the key module responsible for dimension reduction and feature fusion. Finally, the obtained new feature vector is input into BLS for training and classification, and we can obtain a satisfactory classification result. A series of experiments are conducted on the challenging NWPU-RESISC45 remote sensing image dataset, and the results demonstrate that our approach outperforms some popular state-of-the-art deep learning methods, and present high-accurate scene classification within a shorter running time.
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18

XIA Qiao-qiao, 夏巧桥, 汪鼎文 WANG Ding-wen, 张立国 ZHANG Li-guo, 吴敏渊 WU Min-yuan, and 陈曦 CHEN Xi. "Realization of fast-view system for high-speed multi-channel remote sensing camera." Optics and Precision Engineering 21, no. 1 (2013): 158–66. http://dx.doi.org/10.3788/ope.20132101.0158.

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19

Sun, Yongqiang, Ke Yang, Junhong Liu, Jinchuan Zhang, Ning Zhuo, Junqi Liu, Shuman Liu, Lijun Wang, Fengqi Liu, and Shenqiang Zhai. "High sensitivity and fast detection system for sensing of explosives and hazardous materials." Sensors and Actuators B: Chemical 360 (June 2022): 131640. http://dx.doi.org/10.1016/j.snb.2022.131640.

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20

Xu, Tianheng, Honglin Hu, and Mengying Zhang. "Sliced Sensing System: Toward 5G Cognitive Radio Applications Under Fast Time-Varying Channels." IEEE Systems Journal 13, no. 2 (June 2019): 1297–307. http://dx.doi.org/10.1109/jsyst.2018.2853116.

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21

Zhu, Mengshi, and Hideaki Murayama. "Fast demodulation of OFDR based long length FBG sensing system for noisy signals." Optics Express 26, no. 16 (July 24, 2018): 19804. http://dx.doi.org/10.1364/oe.26.019804.

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22

Nika, Anastasia, Petros Oikonomou, Theodore Manouras, Panagiotis Argitis, Maria Vamvakaki, Merope Sanopoulou, Ioannis Raptis, and Margarita Chatzichristidi. "Reversible chemocapacitor system based on PDMAEMA polymers for fast sensing of VOCs mixtures." Microelectronic Engineering 227 (April 2020): 111304. http://dx.doi.org/10.1016/j.mee.2020.111304.

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23

Yin, Xin, Lei Zhang, Fengchun Tian, and David Zhang. "Temperature Modulated Gas Sensing E-Nose System for Low-Cost and Fast Detection." IEEE Sensors Journal 16, no. 2 (January 2016): 464–74. http://dx.doi.org/10.1109/jsen.2015.2483901.

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24

Tawfic, Israa, and Sema Kayhan. "Compressed sensing of ECG signal for wireless system with new fast iterative method." Computer Methods and Programs in Biomedicine 122, no. 3 (December 2015): 437–49. http://dx.doi.org/10.1016/j.cmpb.2015.09.010.

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25

Xu, Shi Chao, Heng Miao, Yue Qian Yang, Ji Mei Zhang, Hong Jun Li, Zhao Dai, Guo Zheng, et al. "Fabrication and Characterization of a Toxoplasma gondii DNA Sensing System." Advanced Materials Research 152-153 (October 2010): 1543–46. http://dx.doi.org/10.4028/www.scientific.net/amr.152-153.1543.

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We presented a fast, specific, and sensitive DNA sensing system, which composed of a CdTe/Fe3O4 magnetic core-shell quantum dots (energy donor), a commercial quencher (BHQ2; energy acceptor), and a designed single strand Toxoplasma gondii DNA. The designed single strand Toxoplasma gondii DNA was applied to link the energy donor and acceptor, and target DNA was detected based on mechanism of fluorescence resonance energy transfer. The CdTe quantum dots, Fe3O4 magnetic nanoparticles, CdTe/Fe3O4 magnetic core-shell quantum dots, and sensing probe were step-wisely prepared. Properties of synthesized quantum dots were investigated by transmission electron microscopy, fluorescence spectrum, nano zeta potential and submicron particle size analyzer, and X-ray diffraction, respectively. Specificity and sensitivity of sensing probe was determined by measuring the recovery of fluorescence intensity. The obtained sensing probe with magnetic properties can be simply separated or concentrated from the hybridized solution with a common magnet. The resulting data revealed the sensing system was successfully fabricated, and which has high sensitivity and specificity.
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Bhagavan, K., B. Yaswitha Reddy, T. Krishna Sujay, and T. Sravan Kumar. "Density Based Traffic Light Controlling System using IOT." International Journal of Engineering & Technology 7, no. 2.32 (May 31, 2018): 371. http://dx.doi.org/10.14419/ijet.v7i2.32.15716.

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The present existing frameworks do dominant the traffic becomes major issue owe to fast increase in vehicles and conjointly owing to giant time lag between the traffic lights. So, so as to improve the downside, I am going to opt for the effective traffic lights system using Density technique. This paper illustrate you how to manage traffic density. During this scheme, the sensing are adopted to live traffic substantially. we rearrange one LDR sensing element for each one road; these Light Dependent resistors sensors forever the traffic thereon specific roadway. of these LDR sensors are interfaced with micro controller. Supported controller & Sensors recognize traffic after that traffic system has been controlled.
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Liu, Xueyan, Dong Peng, Wei Guo, Xibo Ma, Xin Yang, and Jie Tian. "Compressed Sensing Photoacoustic Imaging Based on Fast Alternating Direction Algorithm." International Journal of Biomedical Imaging 2012 (2012): 1–7. http://dx.doi.org/10.1155/2012/206214.

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Photoacoustic imaging (PAI) has been employed to reconstruct endogenous optical contrast present in tissues. At the cost of longer calculations, a compressive sensing reconstruction scheme can achieve artifact-free imaging with fewer measurements. In this paper, an effective acceleration framework using the alternating direction method (ADM) was proposed for recovering images from limited-view and noisy observations. Results of the simulation demonstrated that the proposed algorithm could perform favorably in comparison to two recently introduced algorithms in computational efficiency and data fidelity. In particular, it ran considerably faster than these two methods. PAI with ADM can improve convergence speed with fewer ultrasonic transducers, enabling a high-performance and cost-effective PAI system for biomedical applications.
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Jia, Zhi Le, Xiao Ping Lu, Wen Qan Zang, and Qing Chen Liu. "Research on Fast Geometric Precision Correction of HJ-1 Remote Sensing Image." Applied Mechanics and Materials 427-429 (September 2013): 1481–84. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.1481.

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As the basis application of remote sensing image ,the satellite remote sensing image geometric precision correction is an important means that to weaken the image itself with the real terrain morphological differences. In this paper, we used HJ-1 satellite CCD data as the research object, using the SIFT algorithm in combination with GPU parallel computing fast extracting and matching feature points, based on polynomial correction model to build calibration system, independent of the HJ-1 satellite imagery geometric precision correction, and achieved a higher accuracy.
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Li, Li, Zu-Ming Tu, Yang Hua, Xiao-Nan Li, Hai-Yu Wang, and Hong Zhang. "A novel multifunction photochromic metal–organic framework for rapid ultraviolet light detection, amine-selective sensing and inkless and erasable prints." Inorganic Chemistry Frontiers 6, no. 11 (2019): 3077–82. http://dx.doi.org/10.1039/c9qi01037h.

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Zhu, B., Y. Nie, R. Nan, and B. Peng. "The FAST/SKA Site Selection in Guizhou Province." International Astronomical Union Colloquium 182 (2001): 213–18. http://dx.doi.org/10.1017/s0252921100001007.

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AbstractMany karst depressions with diameters of 300 m to 500 m, suitable for constructing Arecibo-style radio telescopes, were identified in the south of Guizhou Province by Remote Sensing (RS) and Geographic Information System (GIS) technologies together with field investigations. Fundamental topography and landform databases were established for 391 candidate depressions, and using GIS the 3-dimensional images of depressions, at a scale of 1:10000, were then simulated to fit a spherical antenna.
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Zhao, Dong Feng, Xiao Ma, and Xian Wei Zhou. "A Robust Spectrum Sensing Method Using Filter Bank." Applied Mechanics and Materials 58-60 (June 2011): 54–59. http://dx.doi.org/10.4028/www.scientific.net/amm.58-60.54.

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Robust spectrum sensing is one of the essential issues for building and commercializing the cognitive radio system. With the challenging wireless environment, a reliable and computation feasible real-time spectrum sensing method using filter bank has been proposed in this letter. Extended Gaussian Function and Fast Fourier Transform are effectively combined together to implement a non-parameter and thus robust spectrum sensing. Numerical results are provided to compare the performance of the proposed method with that of the existing spectrum sensing.
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Imbriaco, Raffaele, Clint Sebastian, Egor Bondarev, and Peter de With. "Aggregated Deep Local Features for Remote Sensing Image Retrieval." Remote Sensing 11, no. 5 (February 28, 2019): 493. http://dx.doi.org/10.3390/rs11050493.

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Remote Sensing Image Retrieval remains a challenging topic due to the special nature of Remote Sensing imagery. Such images contain various different semantic objects, which clearly complicates the retrieval task. In this paper, we present an image retrieval pipeline that uses attentive, local convolutional features and aggregates them using the Vector of Locally Aggregated Descriptors (VLAD) to produce a global descriptor. We study various system parameters such as the multiplicative and additive attention mechanisms and descriptor dimensionality. We propose a query expansion method that requires no external inputs. Experiments demonstrate that even without training, the local convolutional features and global representation outperform other systems. After system tuning, we can achieve state-of-the-art or competitive results. Furthermore, we observe that our query expansion method increases overall system performance by about 3%, using only the top-three retrieved images. Finally, we show how dimensionality reduction produces compact descriptors with increased retrieval performance and fast retrieval computation times, e.g., 50% faster than the current systems.
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Yang, Huizhang, Chengzhi Chen, Shengyao Chen, and Feng Xi. "Sub-Nyquist SAR via Quadrature Compressive Sampling with Independent Measurements." Remote Sensing 11, no. 4 (February 25, 2019): 472. http://dx.doi.org/10.3390/rs11040472.

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This paper presents an efficient sampling system for the acquisition of synthetic aperture radar (SAR) data at sub-Nyquist rate. The system adopts a quadrature compressive sampling architecture, which uses modulation, filtering, sampling and digital quadrature demodulation to produce sub-Nyquist or compressive measurements. In the sequential transmit-receive procedure of SAR, the analog echoes are modulated by random binary chipping sequences to inject randomness into the measurement projection, and the chipping sequences are independent from one observation to another. As a result, the system generates a sequence of independent structured measurement matrices, and then the resulting sensing matrix has better restricted isometry property, as proved by theoretical analysis. As a standard recovery problem in compressive sensing, image formation from the sub-Nyquist measurements has significantly improved performance, which in turn promotes low sampling/data rate. Moreover, the resulting sensing matrix has structures suitable for fast matrix-vector products, based on which we provide a first-order fast image formation algorithm. The performance of the proposed sampling system is assessed by synthetic and real data sets. Simulation results suggest that the proposed system is a valid candidate for sub-Nyquist SAR.
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Cao Pinqi, 曹品奇, and 许国良 Xu Guoliang. "Large Capacity and Fast FBG Sensing System Based on Marshalling Measurement and Edge Filter." Chinese Journal of Lasers 43, no. 10 (2016): 1010003. http://dx.doi.org/10.3788/cjl201643.1010003.

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Xu, Baobei, Zhangyu Ye, Fan Wang, Jiangxin Yang, Yanlong Cao, Christel-Loic Tisse, Xin Li, and Yanpeng Cao. "On-the-fly extrinsic calibration of multimodal sensing system for fast 3D thermographic scanning." Applied Optics 58, no. 12 (April 19, 2019): 3238. http://dx.doi.org/10.1364/ao.58.003238.

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36

Akasaka, Y., Y. Inoue, M. Nakaya, and T. Nishimura. "The 3-D IC with 4-layer structure for the fast range sensing system." Microelectronic Engineering 15, no. 1-4 (October 1991): 183–86. http://dx.doi.org/10.1016/0167-9317(91)90208-u.

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37

Lai, C. C., Jacob C. P. Kam, David C. C. Leung, Tony K. Y. Lee, Aiken Y. M. Tam, S. L. Ho, H. Y. Tam, and Michael S. Y. Liu. "Development of a Fiber-Optic Sensing System for Train Vibration and Train Weight Measurements in Hong Kong." Journal of Sensors 2012 (2012): 1–7. http://dx.doi.org/10.1155/2012/365165.

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A novel operation system to detect train vibration and train weight using FBG sensing network has been designed and tested in Hong Kong. The purpose of the system is for real time condition monitoring of trains. Because of the fast response of optical systems, the trains can be monitored in real-time during its normal service without any special arrangement. Hence, the condition checking can be realized without any disruption on the operating condition of the railway system.
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S, Karpagavalli, and V. Balamurugan. "Online Marine Satellite System Using GIS." Indonesian Journal of Electrical Engineering and Computer Science 8, no. 2 (November 1, 2017): 571. http://dx.doi.org/10.11591/ijeecs.v8.i2.pp571-573.

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<p>Geographic information Systems (GIS) square measure an honest tool for group action completely different form of spacial info. Its provides fast analysis and correlation of assorted geographical contexts. This method planned collects the data and integration marine data kind satellite pictures. This method automatic collects the surface location of the target. The system gets all info concerning another supply details, as well as ship movement from the automated Identification System (AIS). The planned system creates upon immense years of expertise in style internet primarily based GIS. Internet GIS in on-line remote sensing services for ecological observation and system has solely been demo recently.</p>
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Huang, Fengchen, Lizhong Xu, Min Li, and Min Tang. "High-Resolution Remotely Sensed Small Target Detection by Imitating Fly Visual Perception Mechanism." Computational and Mathematical Methods in Medicine 2012 (2012): 1–9. http://dx.doi.org/10.1155/2012/789429.

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The difficulty and limitation of small target detection methods for high-resolution remote sensing data have been a recent research hot spot. Inspired by the information capture and processing theory of fly visual system, this paper endeavors to construct a characterized model of information perception and make use of the advantages of fast and accurate small target detection under complex varied nature environment. The proposed model forms a theoretical basis of small target detection for high-resolution remote sensing data. After the comparison of prevailing simulation mechanism behind fly visual systems, we propose a fly-imitated visual system method of information processing for high-resolution remote sensing data. A small target detector and corresponding detection algorithm are designed by simulating the mechanism of information acquisition, compression, and fusion of fly visual system and the function of pool cell and the character of nonlinear self-adaption. Experiments verify the feasibility and rationality of the proposed small target detection model and fly-imitated visual perception method.
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Min, Kyung-Won, Seok-Jung Jang, and Junhee Kim. "A Standalone Vision Sensing System for Pseudodynamic Testing of Tuned Liquid Column Dampers." Journal of Sensors 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/8152651.

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Experimental investigation of the tuned liquid column damper (TLCD) is a primal factory task prior to its installation at a site and is mainly undertaken by a pseudodynamic test. In this study, a noncontact standalone vision sensing system is developed to replace a series of the conventional sensors installed at the TLCD tested. The fast vision sensing system is based on binary pixel counting of the portion of images steamed in a pseudodynamic test and achieves near real-time measurements of wave height, lateral motion, and control force of the TLCD. The versatile measurements of the system are theoretically and experimentally evaluated through a wide range of lab scale dynamic tests.
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41

Qinggong, Ma, and Yang Bo. "Frequency Offset Estimation Algorithm of OFDMA Wireless Communication System Based on Compressed Sensing." International Journal of Advanced Pervasive and Ubiquitous Computing 7, no. 3 (July 2015): 55–62. http://dx.doi.org/10.4018/ijapuc.2015070105.

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The frequency offset problem of OFDMA wireless communication system has been an important obstructive factor for the rapid promotion of this technology. The frequency offset estimation algorithm of OFDMA wireless communication system based on compressed sensing reconstructs the optimized mathematical model of frequency offset. Under the premise of keeping its estimated performance, from the reduction of its computation complexity and the enhancement of real-time performance of the system, it provides an optimized algorithmic approach and thus improves the practicability of algorithm. The compressed sensing algorithm has realized the fast and accurate extraction of the frequency offset parameters, so the overall performance of the system can reach the optimal state.
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42

Lee, Youngrim, Wanyong Park, Hyunchun Park, and Daesik Shin. "FAST Design for Large-Scale Satellite Image Processing." Journal of the Korea Institute of Military Science and Technology 25, no. 4 (August 5, 2022): 372–80. http://dx.doi.org/10.9766/kimst.2022.25.4.372.

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This study proposes a distributed parallel processing system, called the Fast Analysis System for remote sensing daTa(FAST), for large-scale satellite image processing and analysis. FAST is a system that designs jobs in vertices and sequences, and distributes and processes them simultaneously. FAST manages data based on the Hadoop Distributed File System, controls entire jobs based on Apache Spark, and performs tasks in parallel in multiple slave nodes based on a docker container design. FAST enables the high-performance processing of progressively accumulated large-volume satellite images. Because the unit task is performed based on Docker, it is possible to reuse existing source codes for designing and implementing unit tasks. Additionally, the system is robust against software/hardware faults. To prove the capability of the proposed system, we performed an experiment to generate the original satellite images as ortho-images, which is a pre-processing step for all image analyses. In the experiment, when FAST was configured with eight slave nodes, it was found that the processing of a satellite image took less than 30 sec. Through these results, we proved the suitability and practical applicability of the FAST design.
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43

Rebordão, Guilherme, Susana I. C. J. Palma, and Ana C. A. Roque. "Microfluidics in Gas Sensing and Artificial Olfaction." Sensors 20, no. 20 (October 9, 2020): 5742. http://dx.doi.org/10.3390/s20205742.

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Rapid, real-time, and non-invasive identification of volatile organic compounds (VOCs) and gases is an increasingly relevant field, with applications in areas such as healthcare, agriculture, or industry. Ideal characteristics of VOC and gas sensing devices used for artificial olfaction include portability and affordability, low power consumption, fast response, high selectivity, and sensitivity. Microfluidics meets all these requirements and allows for in situ operation and small sample amounts, providing many advantages compared to conventional methods using sophisticated apparatus such as gas chromatography and mass spectrometry. This review covers the work accomplished so far regarding microfluidic devices for gas sensing and artificial olfaction. Systems utilizing electrical and optical transduction, as well as several system designs engineered throughout the years are summarized, and future perspectives in the field are discussed.
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44

Li, Chengli, Jianguan Tang, Cheng Cheng, Longbao Cai, and Minghong Yang. "FBG Arrays for Quasi-Distributed Sensing: A Review." Photonic Sensors 11, no. 1 (January 22, 2021): 91–108. http://dx.doi.org/10.1007/s13320-021-0615-8.

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AbstractFiber Bragg grating (FBG) array is a powerful technique for quasi-distributed sensing along the entire length of sensing fiber with fast response and high precision. It has been widely used for temperature, strain, and vibration monitoring. In this review work, an overview on the recent advances of FBG arrays is conducted. Firstly, the fabrication methods of FBG array are reviewed, which include femtosecond laser system and online writing technique. Then, the demodulation techniques for FBG arrays are presented and discussed. Distributed static sensing can be performed by demodulating wavelength shift of each FBG, while phase demodulation techniques with low noise are employed for dynamic vibration sensing. Simultaneous distributed dynamic and static sensing system based on FBG array is also outlined. Finally, possible future directions are discussed and concluded. It is believed that the FBG array has great development potential and application prospect.
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45

Vourganas, Ioannis, Vladimir Stankovic, Lina Stankovic, and Anna Lito Michala. "Evaluation of Home-Based Rehabilitation Sensing Systems with Respect to Standardised Clinical Tests." Sensors 20, no. 1 (December 19, 2019): 26. http://dx.doi.org/10.3390/s20010026.

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With increased demand for tele-rehabilitation, many autonomous home-based rehabilitation systems have appeared recently. Many of these systems, however, suffer from lack of patient acceptance and engagement or fail to provide satisfactory accuracy; both are needed for appropriate diagnostics. This paper first provides a detailed discussion of current sensor-based home-based rehabilitation systems with respect to four recently established criteria for wide acceptance and long engagement. A methodological procedure is then proposed for the evaluation of accuracy of portable sensing home-based rehabilitation systems, in line with medically-approved tests and recommendations. For experiments, we deploy an in-house low-cost sensing system meeting the four criteria of acceptance to demonstrate the effectiveness of the proposed evaluation methodology. We observe that the deployed sensor system has limitations in sensing fast movement. Indicators of enhanced motivation and engagement are recorded through the questionnaire responses with more than 83 % of the respondents supporting the system’s motivation and engagement enhancement. The evaluation results demonstrate that the deployed system is fit for purpose with statistically significant ( ϱ c > 0.99 , R 2 > 0.94 , I C C > 0.96 ) and unbiased correlation to the golden standard.
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46

Werner, Jan, Mathias Belz, Karl-Friedrich Klein, Tong Sun, and K. T. V. Grattan. "Characterization of a fast response fiber-optic pH sensor and illustration in a biological application." Analyst 146, no. 15 (2021): 4811–21. http://dx.doi.org/10.1039/d1an00631b.

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A new design of fiber optic-based pH sensor probe with fast response sensing tip. The system has been evaluated and preliminary results reported are highly promising and show a significant improvement in the sensor performance.
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47

Wang, Lei, Wei Li, Ke Sun, Fusang Zhang, Tao Gu, Chenren Xu, and Daqing Zhang. "LoEar." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 6, no. 3 (September 6, 2022): 1–24. http://dx.doi.org/10.1145/3550293.

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Acoustic sensing has been explored in numerous applications leveraging the wide deployment of acoustic-enabled devices. However, most of the existing acoustic sensing systems work in a very short range only due to fast attenuation of ultrasonic signals, hindering their real-world deployment. In this paper, we present a novel acoustic sensing system using only a single microphone and speaker, named LoEar, to detect vital signs (respiration and heartbeat) with a significantly increased sensing range. We first develop a model, namely Carrierforming, to enhance the signal-to-noise ratio (SNR) via coherent superposition across multiple subcarriers on the target path. We then propose a novel technique called Continuous-MUSIC (Continuous-MUltiple SIgnal Classification) to detect a dynamic reflections, containing subtle motion, and further identify the target user based on the frequency distribution to enable Carrierforming. Finally, we adopt an adaptive Infinite Impulse Response (IIR) comb notch filter to recover the heartbeat pattern from the Channel Frequency Response (CFR) measurements which are dominated by respiration and further develop a peak-based scheme to estimate respiration rate and heart rate. We conduct extensive experiments to evaluate our system, and results show that our system outperforms the state-of-the-art using commercial devices, i.e., the range of respiration sensing is increased from 2 m to 7 m, and the range of heartbeat sensing is increased from 1.2 m to 6.5 m.
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48

Pelosi, Paolo, Jiao Zhu, and Wolfgang Knoll. "Odorant-Binding Proteins as Sensing Elements for Odour Monitoring." Sensors 18, no. 10 (September 27, 2018): 3248. http://dx.doi.org/10.3390/s18103248.

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Odour perception has been the object of fast growing research interest in the last three decades. Parallel to the study of the corresponding biological systems, attempts are being made to model the olfactory system with electronic devices. Such projects range from the fabrication of individual sensors, tuned to specific chemicals of interest, to the design of multipurpose smell detectors using arrays of sensors assembled in a sort of artificial nose. Recently, proteins have attracted increasing interest as sensing elements. In particular, soluble olfaction proteins, including odorant-binding proteins (OBPs) of vertebrates and insects, chemosensory proteins (CSPs) and Niemann-Pick type C2 (NPC2) proteins possess interesting characteristics for their use in sensing devices for odours. In fact, thanks to their compact structure, their soluble nature and small size, they are extremely stable to high temperature, refractory to proteolysis and resistant to organic solvents. Moreover, thanks to the availability of many structures solved both as apo-proteins and in complexes with some ligands, it is feasible to design mutants by replacing residues in the binding sites with the aim of synthesising proteins with better selectivity and improved physical properties, as demonstrated in a number of cases.
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49

Sharabayko, Maxim P., and Nikolay G. Markov. "Fast Search for Intra Prediction Mode in H.265/HEVC Video Compression." Key Engineering Materials 685 (February 2016): 897–901. http://dx.doi.org/10.4028/www.scientific.net/kem.685.897.

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Mechanical engineering, chemical engineering and other industries have a high demand for the video compression systems that are used, e.g., in CCTV and video sensing. The newest video compression standard H.265/HEVC provides the compression rate of 100–300 times to the uncompressed video. The side effect is the increase of a computational complexity of the compression system. This high complexity obstructs the industrial implementation of H.265/HEVC video compression systems. One of the main objectives is to reduce intra compression complexity. In this paper, we present our algorithm of a fast search for intra prediction mode in H.265/HEVC video compression. The algorithm on average provides only 1.9% bitrate increase with 41% timesaving.
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Xiao, Jingkun, Chengwen Song, Wei Dong, Yanyan Yin, and Chen Li. "Preparation and Gas Sensing Properties of Hierarchical Flower-Shaped Bi2WO6." Australian Journal of Chemistry 69, no. 1 (2016): 107. http://dx.doi.org/10.1071/ch15152.

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Hierarchical flower-shaped Bi2WO6 was obtained by a simple hydrothermal method. Morphology and structure of the Bi2WO6 were characterised by single electron microscopy, X-ray diffraction, X-ray photoelectron spectroscopy, and N2 adsorption techniques. Gas sensing properties of the Bi2WO6 sensor were investigated by a static gas-sensing system. The results show the as-synthesised flower-shaped product is pure orthorhombic Bi2WO6, which is composed of nanosheets with ~10–20 nm in thickness and hundreds of nanometres in planar size. At this optimal operating temperature of 300°C, the Bi2WO6 sensor exhibits ultra-fast response (1-2 s) and fast recovery time (6–12 s) towards ethanol detection, and high selectivity to other gases such as methanol, benzene, dichloromethane, and hexane.
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