Study on Fault Arc Recognition Based on Back-Propagation Neural Network by QIAO Weide

“…In view of the problems of low loop current and ineffective detection of traditional line protection equipment when series fault arc occurs, a fault arc recognition neural network model based on wavelet analysis and backpropagation(BP) neural network is established to identify the fault arc quickly and accurately. …”
Get full text

Study on the Key Technology of Image Transmission Mechanism Based on Channel Coding Ghost Imaging by Leihong Zhang, Ye Hualong, Dawei Zhang

“… It solves problems such as insufficient feasibility, low reduction degree, long imaging time of current imaging algorithm, and so on.…”
Get full text

A Multi-Mode Recognition Method for Broadband Oscillation Based on Compressed Sensing and EEMD by Jinggeng Gao, Honglei Xu, Yong Yang, Haoming Niu, Jinping Liang, Haiying Dong

“…Secondly, in the main station, the subspace pursuit (SP) algorithm is used to reconstruct the low-dimensional signal; the broadband oscillation signal is recovered without losing the main features of the signal. …”
Get full text

Research on Optimization of Magnetic Ranging by Mechanism & Intelligence by QIAN Hongyu, CHE Yang, WANG Xiufang, FENG Fuping, JIANG Chunlei

“…The proposed method accurately measures well spacing within 50 m and reduces error in the 50～70 m range using the MLP algorithm, thereby improving measurement precision and expanding the detection range. …”
Get full text

A Velocity Dealiasing Scheme Based on Minimization of Velocity Differences between Regions by Yue Yuan, Ping Wang, Di Wang, Junzhi Shi

“…In this paper, 604 volume scan samples, including typhoons, squall lines, and heavy precipitation, were used to test the algorithm. The statistical results and analysis show that the proposed algorithm can dealiase the velocity field with a high probability of detection and a low false alarm rate.…”
Get full text

Design of a home-based elderly service robot using ROS by Zhao Zebei, Feng Peilin, Xie Xiaorui, Zhang Jing

“…Addressing the current issues with elderly service robots, such as limited intelligent voice functions, insufficient perception capabilities, and low integration levels, this paper designed a robot with features including facial recognition, voice interaction, and fall detection. …”
Get full text

Dual-GRU Perception Accumulation Model for Linear Beam Smoke Detector by Zhuofu Wang, Boning Li, Li Wang, Zhen Cao, Xi Zhang

“…Due to the complex structure of high-rise space buildings, traditional point fire detectors are not effective in terms of detection range and installation difficulty. Although linear beam smoke detectors are widely adopted, they still face problems such as low accuracy and false alarms caused by interference. …”
Get full text

Research of electronic compensation methods of reserence signal in the surveillance channel of semi-active coherent bistatic DVB-T2 radar by P. I. Karpovich, S. A. Korenevsky, V. V. Muraviov

“…The results of experimental studies on the detection of low-speed target with low effective scattering surface in the presence of a powerful reference signal have been presented.…”
Get full text

PISCFF-LNet: A Method for Autonomous Flight of UAVs Based on Lightweight Road Extraction by Yuanxu Zhu, Tianze Zhang, Aiying Wu, Gang Shi

“…To further enhance UAV performance, we introduce an improved ray-based eight neighborhood algorithm (RENA), which efficiently extracts road-edge information with a remarkably low latency of just 7 ms, providing accurate flight guidance and reducing misidentification. …”
Get full text

The quantification of percentage filling of gutta-percha in obturated root canal using image processing and analysis by Pravin R. Lokhande, S. Balaguru

“…X-ray radiographs of pre and post obturation were obtained to carry image processing and analysis. Image enhancement, low pass filtering, k-means clustering algorithm and edge detection technique were applied to get results. …”
Get full text

Power Line Polarimetric Imaging by Helicopter Radars: Modeling and Experimental Validation by Masha Bortsova, Hlib Cherepnin, Volodymyr Kosharskyi, Volodymyr Ponomaryov, Anatoliy Popov, Sergiy Sadovnychiy, Beatriz Garcia-Salgado, Eduard Tserne

“…Additionally, an optimal algorithm for adaptive polarization selection, obtained by the maximum likelihood method, was proposed to detect such objects against the background of the underlying surface. …”
Get full text

A Fault-Tolerant Multiple Sensor Fusion Approach Applied to UAV Attitude Estimation by Yu Gu, Jason N. Gross, Matthew B. Rhudy, Kyle Lassak

“…The attitude estimation problem is used as a case study for the multiple sensor fusion algorithm design, with information provided by a set of low-cost rate gyroscopes, accelerometers, magnetometers, and a single-frequency GPS receiver’s position and velocity solution. …”
Get full text

Extending Conflict-Based Search for Optimal and Efficient Quadrotor Swarm Motion Planning by Zihao Wang, Zhiwei Zhang, Wenying Dou, Guangpeng Hu, Lifu Zhang, Meng Zhang

“…SL-CBS is a two-layer search algorithm: (1) The low-level search utilizes an improved state lattice. …”
Get full text

Innovative segmentation technique for aerial power lines via amplitude stretching transform by Pengfei Xu, Nor Anis Asma Sulaiman, Yafei Ding, Jiangwei Zhao

“…The average values of evaluation indicators PPA, MMPA and MMIoU of the image segmentation results of the proposed algorithm reach 0.96, 0.96 and 0.95 respectively, and the average time lag of detection is less than 0.2s, indicating that the accuracy and real-time performance of the segmentation results of the proposed algorithm are significantly better than those of the above algorithms.…”
Get full text

Research on intelligent technology for broken chain monitoring on scraper conveyors by LI Lingfeng, ZHANG Jie, CHEN Zhuo, ZHA Tianren, YIN Rui

“…To address the issues of existing AI algorithm-based broken chain monitoring technologies for underground coal mine scraper conveyors, including poor online learning ability, low detection accuracy, instability, and inadequate adaptability and reliability in complex scenarios, an online sequential extreme learning machine (OSELM) network was developed by integrating incremental online training into the extreme learning machine (ELM). …”
Get full text

Non-Iterative Reconstruction and Selection Network-Assisted Channel Estimation for mmWave MIMO Communications by Jing Yang, Yabo Guo, Xinying Guo, Pengpeng Wang

“…To address these limitations, we propose a low-complexity channel estimator using a non-iterative reconstruction network (NIRNet) with a learning-based selection matrix (LSM). …”
Get full text

Ultrasonic online monitoring method of internal defects inmetal additive manufacturing by Linzhao Jiang, Jun Zhang, Jingli Yan, Hui Ding

“…Additionally, the layer-by-layer accumulation process characteristic of additive manufacturing (AM) provides a flat detection surface during the printing of each layer, effectively addressing the challenges posed by the limited detection space in complex components. …”
Get full text

Highly Efficient Real-Time Kinematic-Based Precise Relative Navigation for Autonomous Rendezvous CubeSat by Hanjoon Shim, Changdon Kee

“…Double-difference integer ambiguities were resolved epoch-by-epoch using the least-squares ambiguity decorrelation adjustment (LAMBDA) technique without filters, to ensure efficiency. The algorithm was applied to CubeSat hardware, integrating cycle-slip detection and CubeSat-tailored ground plane designs. …”
Get full text

Mechanism of situation element acquisition based on deep auto-encoder network in wireless sensor networks by Jiang Zhu, Yue Ming, Yonghui Song, Sen Wang

“…In order to reduce the time complexity of situation element acquisition and to cope with the low detection accuracy of small class samples caused by imbalanced class distribution of attack samples in wireless sensor networks, a situation element extraction mechanism based on deep auto-encoder network is proposed. …”
Get full text

Adaptive Cooperative Quality Weight Spectrum Sensing for Mitigating Byzantine Attacks in Cognitive Radio by Kanabadee Srisomboon, Luepol Pipanmekaporn, Akara Prayote, Wilaiporn Lee

“…In our proposed algorithm, we adopt a stable preference ordering towards ideal solution (SPOTIS) for determining the reliability of SUs which shows low computational complexity as compared to other reliability weight-based techniques. …”
Get full text