Improved SOR signal detection algorithm in massive MIMO-TRDMA systems by Mingyue WANG, Fangwei LI, Xiaorong JING, Haibo ZHANG, Junzhou XIONG

“…In the massive multi-input multi-output time-reversal division multiple access (MIMO-TRDMA) systems, the traditional linear minimum mean square error (MMSE) algorithm achieved approximately the best performance.However, the matrix inversion of the MMSE algorithm was too complicated to ensure real-time processing of signal detection.To solve this problem, an improved successive over-relaxation (SOR) signal detection optimization algorithm was proposed.The proposed algorithm reasonably upgraded the solution of linear equations to prevent the complicated calculation of matrix inversion.Meanwhile, the steepest descent idea was used to provide an effective search direction for the SOR signal detection algorithm, achieving a rapid convergence rate and stronger inspection performance.The simulation results show that the proposed algorithm has the similar best performance with fewer update times compared with the traditional MMSE algorithm, and the calculation complexity is reduced from O(M³)to O(²).…”
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Workflow for effective integration of community detection algorithms in brain network analysis by Flavio Averhoff, Vladimir Aristov, Ivan Stepanyan, Chen Yunwei, Jorge Gulín González

“…Techniques such as intensity normalization and image smoothing were applied to ensure the quality of fMRI data processing. An autoencoder model was employed to analyze functional connectivity networks, and the Louvain algorithm was used to detect communities within these networks. …”
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Time-frequency analysis and autoencoder approach for network traffic anomaly detection by Ruchira Purohit, Satish Kumar, Sameer Sayyad, Ketan Kotecha

“…Detection of anomalies in network traffic is critical to mitigating cyber threats. …”
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A Fast Overlapping Community Detection Algorithm with Self-Correcting Ability by Laizhong Cui, Lei Qin, Nan Lu

“…In this paper, we propose three test conditions for overlapping nodes and present a fast overlapping community detection algorithm with self-correcting ability, which is decomposed into two processes. …”
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Ultrasonic sensor system for detection of the objects position in two-dimensional plane by Adhi Kusumadjati, Jofim Yordaniel Napitupulu, Roni Setiawan, Andrew Imada Samosir, Korhan Cengiz

“…It can be used to measure object distances accurately at a detection angle of 15 degrees to the sensor's normal plane and can be carried out up to a maximum distance of 4 m. …”
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A Novel Temporal Footprints-Based Framework for Fake News Detection by Ali Raza, Shafiq Ur Rehman Khan, Raja Sher Afgun Usmani, Ashok Kumar Das, Shehzad Ashraf Chaudhry

“…In recent studies, the temporal features in text documents have gained valuable consideration from the natural language processing (NLP) research community. This study investigates the importance of temporal features in text documents for detecting fake news. …”
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A Novel Comprehensive Framework for Detecting and Understanding Health-Related Misinformation by Halyna Padalko, Vasyl Chomko, Sergiy Yakovlev, Dmytro Chumachenko

“…This study introduces a comprehensive framework for detecting and analyzing misinformation using advanced natural language processing techniques. …”
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Real-Time Obstacle Avoidance Based on Floor Detection for Mobile Robots by Adem Hiçdurmaz, Adem Tuncer

“…Obstacle detection and avoidance are two main problems that demand solutions in the autonomous movement of mobile robots. …”
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Low-Complexity Saliency Detection Algorithm for Fast Perceptual Video Coding by Pengyu Liu, Kebin Jia

“…The simulation results validate that the proposed algorithm can avoid a large amount of computation work in the visual perception characteristics analysis processing compared with other existing algorithms; it also has better performance in saliency detection for videos and can realize fast saliency detection. …”
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Classification of Physiology Indicators for the Automatic Detection of Potentially Hazardous Physiological States by I. G. Damousis, S. Argyropoulos, A. Muzet

“…In order to maximize the obtained information and the benefits from the use of obtrusive, physiological sensors, the collected data are processed to also detect abnormal physiology states that may endanger the subjects and those around them during critical operations. …”
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Improved SOR signal detection algorithm in massive MIMO-TRDMA systems by Mingyue WANG, Fangwei LI, Xiaorong JING, Haibo ZHANG, Junzhou XIONG

“…In the massive multi-input multi-output time-reversal division multiple access (MIMO-TRDMA) systems, the traditional linear minimum mean square error (MMSE) algorithm achieved approximately the best performance.However, the matrix inversion of the MMSE algorithm was too complicated to ensure real-time processing of signal detection.To solve this problem, an improved successive over-relaxation (SOR) signal detection optimization algorithm was proposed.The proposed algorithm reasonably upgraded the solution of linear equations to prevent the complicated calculation of matrix inversion.Meanwhile, the steepest descent idea was used to provide an effective search direction for the SOR signal detection algorithm, achieving a rapid convergence rate and stronger inspection performance.The simulation results show that the proposed algorithm has the similar best performance with fewer update times compared with the traditional MMSE algorithm, and the calculation complexity is reduced from O(M³)to O(²).…”
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Energy Efficient RANSAC Algorithm for Flat Surface Detection in Point Clouds by Anatoliy Zhuchenko, Oleksiy Kuchkin, Artem Sazonov, Danylo Zghurskyi

“…The results demonstrate the most energy efficient flat surface detection method that processes 60 RGB-D camera frames per second.…”
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Design of an Active Laser Mini-Camera Detection System Using CNN by Chun Liu, Changming Zhao, Haiyang Zhang, Zilong Zhang, Yanwang Zhai, Yali Zhang

“…This article describes the system components including its optical design, core components and image processing algorithm. The capability of the system for detecting mini-cameras and identifying interference is also experimentally demonstrated. …”
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Detecting Punctual Damage to Gears through the Continuous Morlet Wavelet Transform by Andre Luis Vinagre Pereira, Aparecido Carlos Gonçalves, Rubens Ribeiro, Fábio Roberto Chavarette, Roberto Outa

“…The continuous wavelet transforms accurately identified faults in the gear teeth, and it was possible to detect in which tooth the fault was occurring.…”
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Optimization of Video Heart Rate Detection Based on Improved SSA Algorithm by Chengcheng Duan, Xiangyang Liang, Fei Dai

“…Experimental results demonstrate that the method proposed in this paper effectively mitigates the effects of lighting changes on heart rate detection, thereby enhancing detection accuracy. Overall, the experiments indicate that the proposed method significantly improves the effectiveness and accuracy of heart rate detection, achieving a high level of consistency with existing contact-based detection methods.…”
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Efficient Real-Time Tool Chatter Detection Through Bandpass Filtering by Javier Arenas, Jorge Martínez de Alegría, Patxi X. Aristimuño, Vicente Gómez

“…The developed chatter detection system was validated through machine-based experimental testing.…”
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Deep blur detection network with boundary-aware multi-scale features by Xiaoli Sun, Qiwei Wang, Xiujun Zhang, Chen Xu, Weiqiang Zhang

“…Recently, blur detection is a hot topic in computer vision. It can accurately segment the blurred areas from an image, which is conducive for the post-processing of the image. …”
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Visual gaze bias motion detection by split eyes in miniature whiteflies by Tomer Urca, Fritz-Olaf Lehmann

“…Low optical resolution with 14.4° interommatidial angle hampers object recognition and visual motion detection needed for body posture stability reflexes. …”
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Detecting and Explaining Postpartum Depression in Real-Time with Generative Artificial Intelligence by Silvia García-Méndez, Francisco de Arriba-Pérez

“…Consequently, the rapid detection of PPD and their associated risk factors is critical for in-time assessment and intervention through specialized prevention procedures. …”
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A Driver’s Calling Behavior Detection Method Based on Deep Learning by XIONG Qunfang, LIN Jun, YUE Wei, LIU Shiwang, LUO Xiao, DING Chi

“…Experimental test results show that the proposed algorithm has high robutness, and its accuracy reaches 96.56%, the false positive rate reaches 1.52%, and the processing speed reaches 25 frames per second. It can effectively detect the driver’s calling behavion.…”
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