Spectrum sensing algorithm based on stochastic resonance and non-central F-distribution by Yuanmeng FAN, Shunlan LIU

“…To solve the problem that the detection probability of the spectrum sensing algorithm is low and the number of samples required for detection is large at low signal-to-noise ratio (SNR), a spectrum sensing algorithm based on stochastic resonance and non-central F-distribution (SRNF) was proposed.By introducing direct-current stochastic resonance noise, the system model of SRNF was established, and the expression of test statistic, false alarm probability and detection probability, and the expression of decision threshold obeying non-central F-distribution were deduced, and the optimal stochastic resonance noise parameter was solved by numerical method.The simulation results show that the detection performance of the proposed SRNF algorithm is better than that of energy detection (ED) algorithm and blind spectrum sensing based on F-distribution (BSF) algorithm at a low SNR.When the false alarm probability is 5%, the SNR is -12 dB, and the number of samples is 200, the detection probability of the proposed algorithm is 95%, which is 34% and 67% higher than BSF algorithm and ED algorithm, respectively.When the SNR is -12 dB, and the detection probability reaches 95%, the number of samples required by the proposed algorithm is 210, which saves 340 samples compared to the BSF algorithm.Furthermore, the proposed algorithm is less affected by noise uncertainty than ED algorithm.…”
Get full text

Video Detection and Fusion Tracking for the Targets in Traffic Scenario by Pan Li, Jianing Zhang, Chengxi Han, Luping Xu, Baoguo Feng, Yongjun Zhou, Sen Zhang, Bo Zhang

“…Radar, while effective at measuring speed, often faces issues such as false tracks, redundant tracks, and low visibility in tracking traffic targets. On the other hand, video provides high visualization but struggles with problems such as target adhesion, low detection confidence, and difficulty in speed measurement. …”
Get full text

Narrowband Theta Investigations for Detecting Cognitive Mental Load by Silviu Ionita, Daniela Andreea Coman

“…In this research, it was used just for model comparison. A cognitive load detection algorithm based on these signal metrics was developed and tested on original experimental data. …”
Get full text

Trisomy 21 screening with αlpha software and the Fetal Medicine Foundation algorithm by L Pistorius, C A Cluver, I Bhorat, L Geerts

“…The low prenatal detection rate of trisomy 21 is mainly due to a low prevalence of screening. …”
Get full text

Generic, scalable and decentralized fault detection for robot swarms. by Danesh Tarapore, Anders Lyhne Christensen, Jon Timmis

“…Results show that our generic fault-detection system is robust, that it is able to detect faults in a timely manner, and that it achieves a low false positive rate. …”
Get full text

Research on Improved YOLOv7 for Traffic Obstacle Detection by Yifan Yang, Song Cui, Xuan Xiang, Yuxing Bai, Liguo Zang, Hongshan Ding

“…Object detection and recognition algorithms are widely used in applications such as real-time monitoring and autonomous driving. …”
Get full text

Automated Computer Vision System for Urine Color Detection by Ban Shamil Abdulwahed, Ali Al-Naji, Izzat Al-Rayahi, Ammar Yahya, Asanka G. Perera

“…The results showed that the proposed system has high accuracy (approximately about 97%) in detecting urine color under different light conditions, with low cost, short time, and easy implementation. …”
Get full text

An Algorithm of Train Operation Environment Recognition Based onEmbedded GPU Platform by XIONG Minjun, LI Chen, ZHANG Huiyuan, PENG Liantie, SU Zhen

“…Aiming at the problems of low efficiency, poor accuracy and weak robustness of traditional train operation environment sensing algorithms, a real-time detection algorithm of train operation environment based on image instance segmentation is proposed. …”
Get full text

Detection of child depression using machine learning methods. by Umme Marzia Haque, Enamul Kabir, Rasheda Khanam

“…The Boruta algorithm has been utilized in association with a Random Forest (RF) classifier to extract the most important features for depression detection among the high correlated variables with target variable. …”
Get full text

Advanced algorithms for UAV tracking of targets exhibiting start-stop and irregular motion by Dinesh Kumar Nishad, Saifullah Khalid, Dharmendra Prakash, Vinay Kumar Singh, Priyanka Sahani

“…Conventional tracking algorithms, typically based on the assumption of constant velocity, are poorly suited for such dynamic scenarios. …”
Get full text

Effects of feature selection and normalization on network intrusion detection by Mubarak Albarka Umar, Zhanfang Chen, Khaled Shuaib, Yan Liu

“…These insights provide valuable guidance for managers to develop more effective security measures by focusing on high detection rates and low false alert rates.…”
Get full text

Harmonic Measurement Algorithm of Power System Integrating Wavelet Transform and Deep Learning by Hanshu Jiang, Yutian Li, Zhu Liu, Guanghao Wu, Zeyang Liu

“…The new method consistently showed higher accuracy in harmonic detection compared to conventional approaches. CONCLUSION: The study concludes that the proposed harmonic measurement algorithm significantly improves accuracy compared to traditional methods. …”
Get full text

Implementation of Computer-Aided Piano Music Automatic Notation Algorithm in Psychological Detoxification by Xinmei Zhang

“…This paper analyzes the modeling of a computer-aided piano music automatic notation algorithm, combines the influence of music on psychological detachment, and designs the piano music automatic notation algorithm in psychological detachment model construction. …”
Get full text

Research on Distributed Fiber Optical Strain Testing Technology Based on the Adam Algorithm by Jie Duan, Yuting Liu, Lijuan Li, Jiyu Li, Yanan Zhao, Jianli Zheng

“…However, the current Distributed Optical Fiber Sensing Technology faces challenges such as short localization distance, limited range for stress measurement, low accuracy, and time-consuming processes. This study proposes a novel approach for extracting Brillouin frequency shift signals using an adaptive gradient descent algorithm (Adam Algorithm). …”
Get full text

Obstacle Avoidance Motion Planning of Manipulators in ROS Based on the Improved RRT Algorithm by Cao Yi, Zhang Jingtao, Zhao Pu, Li Lei, Guo Yinhui

“…Aiming at the fact that the RRT algorithm based on the target bias is easy to fall into local search and has a low search efficiency in complex environment, further improvement is made in the ROS based on the Dobot model and the DIY model. …”
Get full text

Exact Quantum Algorithms for Quantum Phase Recognition: Renormalization Group and Error Correction by Ethan Lake, Shankar Balasubramanian, Soonwon Choi

“…We explore the relationship between renormalization-group (RG) flow and error correction by constructing quantum algorithms that exactly recognize one-dimensional symmetry-protected topological (SPT) phases protected by finite internal Abelian symmetries. …”
Get full text

On the effect of sampling frequency on the electricity theft detection performance by Fatemeh Soleimani Nasab, Foad Ghaderi

“…However, based on technological and operational limitations, the rate of metre reading is too low in many countries, which can affect detection performance. …”
Get full text

A Review of Stall Detection in Subsonic Axial Compressors by Kellie N. Wilson, Golam Gause Jaman, Anish Thapa, Amirthavarshini Vivekananda, Mitchell Lowe, Zachary Grima, Marco P. Schoen

“…This paper reviews the major contributions in these listed pursuits and presents the latest methods and algorithms for stall precursor detection in low-speed axial compressors. …”
Get full text

A Novel Method for Community Detection in Bipartite Networks by Ali Khosrozadeh, Ali Movaghar, Mohammad Mehdi Gilanian Sadeghi, Hamidreza Mahyar

“…Nevertheless, some of them need a lot of time, which restricts their use in large networks. While several low-time complexity algorithms exist, their practical value in real-world applications is limited since they are typically non-deterministic. …”
Get full text

Improved YOLO for long range detection of small drones by Sicheng Zhou, Lei Yang, Huiting Liu, Chongqin Zhou, Jiacheng Liu, Yang Wang, Shuai Zhao, Keyi Wang

“…Additionally, deep learning algorithms often demand substantial computational resources, limiting their use on low-capacity platforms. …”
Get full text