On Guaranteed Detectability for Surveillance Sensor Networks by Yanmin Zhu

“…In this paper, we propose a fully distributed algorithm GAP for energy-efficient event detection for surveillance applications. …”
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Adaptive spectrum sensing algorithm based on cyclostationary spectrum energy by Hao-ye ZHANG, Zhi-hua BAO, Shi-bing ZHANG

“…Focused on the characteristic of cyclostationary spectrum of signal and the spectrum sensing in low signal-to-noise ratio,an adaptive decision threshold spectrum sensing algorithm was proposed,which combines cyclostationary spectrum sensing with energy detection.By weighting the sum of probabilities of detection and false alarm,estimating the eigenvalues of the cyclostationary spectrum,the algorithm provides an adaptive decision threshold which could differentiate the primary signal from the background noise.The simulation results show that the algorithm could perform well in low signal-to-noise ratio and remove the effect of noise uncertainty on the spectrum sensing.It outperforms maximum-minimum eigenvalue and blind detection with 4dB and 8dB respectively in signal-to-noise ratio,and has robustness to different modulated primary signal.…”
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PERFORMANCE EVALUATION OF LIGHTWEIGHT OBJECT DETECTION MODELS FOR REAL-TIME PERSONAL PROTECTIVE EQUIPMENT DETECTION IN THE CONSTRUCTION SITES by Herman, Sandy Alferro Dion, Andik Yulianto

“…Using lightweight machine learning algorithms, object recognition can help to detect if the PPEs are worn correctly. …”
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An investigation of Bayes algorithm and neural networks for identifying the breast cancer by E Udayakumar, S Santhi, P Vetrivelan

“…In this project, using low-level preprocessing techniques and image segmentation, the breast cancer detection is done. …”
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Classification Algorithms for Early Tooth Demineralization Assessment by Impedance Spectroscopy by Isabella Sannino, Luca Lombardo, Leila Es Sebar, Marco Parvis, Allegra Comba, Nicola Scotti, Emma Angelini, Leonardo Iannucci, Tolou Shokuhfar, Sabrina Grassini

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Simulation study of muon localization based on the LSTM regression algorithm by ZHANG Haifeng, LUO Siyuan, LIU Xiangman, HE Lie, XIAO Wancheng, YIN Longxiang, WANG Ke, ZOU Yuchen, LIU Yuchen, WANG Xiaodong

“…The construction of such detection systems is distinguished by its intricacy and entails substantial associated costs.PurposeThis study aims to achieve a design for a muon track detection system that is characterized by simplicity, low cost, and high precision.MethodsThe Geant4 software was applied to the simulation of detectors comprising square and circular plastic scintillators coupled with silicon photon multipliers (SiPMs) without segmentation. …”
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Spectrum sensing algorithm based on the eigenvalue of Wishart random matrix by Xuemei YANG, Xi HE, Jiapin XU

“…In order to improve the spectrum sensing performance and overcome the shortcomings of the classical algorithm,a new cooperative spectrum sensing algorithm based on Wishart random matrix theory was proposed.According to the logarithmic distribution characteristics of the sampled covariance matrix eigenvalues and using the ratio of maximum eigenvalue and geometric mean eigenvalue,a simple closed-form threshold expression could be obtained,and the spectrum sensing decision could be performed depend on the threshold.The simulation results show that the proposed algorithm can get better sensing performance even under the conditions of a few number of cooperative users,low signal to noise ratio and a few samples.It is less affected by false-alarm probability and the extreme values,and has better detection performance than similar algorithms.…”
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Spectrum sensing algorithm based on symmetry of cyclic spectral correlation by Yu-long GAO, Yan-ping CHEN, Xiu-zhi GUAN, Zhong-zhao ZHANG, Xue-jun SHA

“…In response to the shortcoming of conventional algorithms,modified SSCA was exploited to calculate the cyclic spectral correlation of received signal for decreasing the computational complexity.Symmetry of cyclic spectral correlation (CSC) was used to detect the idle spectrum,criteria and method of selecting and judging symmetry were proposed.Conventional binary hypothesis condition was translated to concrete value according to symmetry.In order to eliminate the effect of interference and noise,non-zero cyclic frequencies were selected.Finally,the performance of the presented algorithm was compared with the conventional algorithms by virtue of simulation.Simulation results proved the correctness and the superiority of new algorithms.Using symmetry improves the successful detection probability for low SNR and reduces the computational complexity.…”
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Spectrum sensing algorithm based on symmetry of cyclic spectral correlation by Yu-long GAO, Yan-ping CHEN, Xiu-zhi GUAN, Zhong-zhao ZHANG, Xue-jun SHA

“…In response to the shortcoming of conventional algorithms,modified SSCA was exploited to calculate the cyclic spectral correlation of received signal for decreasing the computational complexity.Symmetry of cyclic spectral correlation (CSC) was used to detect the idle spectrum,criteria and method of selecting and judging symmetry were proposed.Conventional binary hypothesis condition was translated to concrete value according to symmetry.In order to eliminate the effect of interference and noise,non-zero cyclic frequencies were selected.Finally,the performance of the presented algorithm was compared with the conventional algorithms by virtue of simulation.Simulation results proved the correctness and the superiority of new algorithms.Using symmetry improves the successful detection probability for low SNR and reduces the computational complexity.…”
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GIS vibration signal denoising algorithm based on SVD-IACMD by TU Jiayi, GUAN Xiangyu, ZHAO Junyi, LIN Jiangang, LAI Zekai

“…However, the vibration signals of the GIS body are affected by the base vibration, measurement noise, and environmental noise, which leads to poor performance in on-site GIS vibration live detection and mechanical defect diagnosis. In response to the current situation, an on-site vibration signal denoising diagnosis algorithm based on the singular value decomposition (SVD)-improve adaptive chirp mode decomposition (IACMD) algorithm is proposed. …”
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Algorithm for continual monitoring of fog based on geostationary satellite imagery by B. Jahani, B. Jahani, B. Jahani, S. Karalus, J. Fuchs, J. Fuchs, T. Zech, M. Zara, M. Zara, J. Cermak, J. Cermak

“…<p>This study presents an algorithm for the detection of fog and low stratus (FLS) over Europe based on the infrared bands of the SEVIRI (Spinning Enhanced Visible and InfraRed Imager) instrument on board the Meteosat Second Generation geostationary satellites. …”
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Energy aware computer vision algorithm deployment on heterogeneous architectures by Teymoor Ali, Deepayan Bhowmik, Robert Nicol

“…We propose two low-high power heterogeneous systems and a method of partitioning CNNs and a feature extraction algorithm (SIFT) onto the hardware. …”
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An Investigation on Prediction of Infrastructure Asset Defect with CNN and ViT Algorithms by Nam Lethanh, Tu Anh Trinh, Mir Tahmid Hossain

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Human activity recognition algorithms for manual material handling activities by Andreas Sochopoulos, Tommaso Poliero, Jamil Ahmad, Darwin G. Caldwell, Christian Di Natali

“…Abstract Human Activity Recognition (HAR) using wearable sensors has prompted substantial interest in recent years due to the availability and low cost of Inertial Measurement Units (IMUs). HAR using IMUs can aid both the ergonomic evaluation of the performed activities and, more recently, with the development of exoskeleton technologies, can assist with the selection of precisely tailored assisting strategies. …”
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Path Planning of Intelligent Mobile Robots with an Improved RRT Algorithm by Wenliang Zhu, Guanming Qiu

“…Addressing issues such as pronounced randomness, low search efficiency, inefficient utilization of effective points, suboptimal path smoothness, and potential deviations from the optimal path in the RRT algorithm based on random sampling, we proposed an optimization algorithm that integrates Kalman filtering to eliminate redundant points along the path. …”
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Research on γ Spectrum Reconstruction Based on Mi-Gold Algorithm by LIANG Wenchao1, 2, ZHANG Jiangmei2, WANG Jiaqi1, 2

“…To address the challenges faced by the Gold algorithm in reconstructing the low-energy resolution γ spectrum, such as the high number of iterations and the low counting rate for weak peaks, an iterative algorithm framework based on the Gold reconstruction algorithm was presented and it was extended to three novel iterative algorithms. …”
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A Novel Path Control Algorithm for Networked Underwater Robot by Minghong She, Liyu Tian

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Algorithm of 3D Face Location Using Geodesic Distance by LIN Xuan-ji, LIN Ke-zheng, SUN Yi-di, WEI Ying

“…The traditional two-dimensionnal face positoning unable overcome the rotation，expression，posture， and own a low accuracy in the location. We join the geodesic distance on the 3D face modle and proposed the algorithm of three-dimension location using geodesic distance. …”
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Research on High-Dynamic Tracking Algorithms for FH-BOC Signals by Xue Li, Shun Zhao, Xinyue Hou, Lulu Wang, Yinsen Zhang

“…Against this background, this paper proposes a comprehensive high-dynamic tracking algorithm for FH-BOC signals. (1) Based on the adaptive Kalman filter algorithm, high-precision carrier tracking was achieved in high-dynamic environments. (2) By leveraging the correlation between the ranging code and frequency-hopping offset carrier, a composite pseudo-code is generated through the XOR operation, and a corresponding composite code-tracking loop is introduced. (3) Based on code loop tracking results, the frequency-hopping moments of the subcarrier are detected, and a phase-locked loop for the frequency-hopping subcarrier is established. …”
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An algorithm for automatic fitting and formula assignment in atmospheric mass spectra by V. Mickwitz, O. Peräkylä, F. Graeffe, D. Worsnop, D. Worsnop, M. Ehn

“…This algorithm provides an excellent starting point for a peak list, which, if needed, can be manually revised.…”
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