A simple efficient anchor-free node localization algorithm for wireless sensor networks by Tao Du, Shouning Qu, Qingbei Guo, Lianjiang Zhu

“…Currently, anchor-free algorithms are the focus of research in node localization because they have the advantages of flexible structure, low cost, high stability and good extensibility. …”
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Comprehensive influence evaluation algorithm of complex network nodes based on global-local attributes by Weijin JIANG, Ying YANG, Tiantian LUO, Wenying ZHOU, En LI, Xiaowei ZHANG

“…Mining key nodes in the network plays a great role in the evolution of information dissemination, virus marketing, and public opinion control, etc.The identification of key nodes can effectively help to control network attacks, detect financial risks, suppress the spread of viruses diseases and rumors, and prevent terrorist attacks.In order to break through the limitations of existing node influence assessment methods with high algorithmic complexity and low accuracy, as well as one-sided perspective of assessing the intrinsic action mechanism of evaluation metrics, a comprehensive influence (CI) assessment algorithm for identifying critical nodes was proposed, which simultaneously processes the local and global topology of the network to perform node importance.The global attributes in the algorithm consider the information entropy of neighboring nodes and the shortest distance nodes between nodes to represent the local attributes of nodes, and the weight ratio of global and local attributes was adjusted by a parameter.By using the SIR (susceptible infected recovered) model and Kendall correlation coefficient as evaluation criteria, experimental analysis on real-world networks of different scales shows that the proposed method is superior to some well-known heuristic algorithms such as betweenness centrality (BC), closeness centrality (CC), gravity index centrality(GIC), and global structure model (GSM), and has better ranking monotonicity, more stable metric results, more adaptable to network topologies, and is applicable to most of the real networks with different structure of real networks.…”
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Optimization of the control system of BP-PID rice polishing unit based on WAO algorithm by HUANG Jinliang, ZHOU Jin, YU Wei

“…ObjectiveAddress the current issues of poor internal flow stability, low single-machine efficiency, and subpar polishing quality in rice polishing units.MethodsFirstly, the traditional polishing machine was improved, its control parameters were clarified, and the mathematical model of the rice polishing unit was established. …”
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New Energy Regional Power Prediction Algorithm Based on Statistical Upscaling in Ningbo Region by Wei WANG, Bo WANG, Jun ZHANG, Chunliang LU, Xu HE

“…It is found that the MI-mRMR-A-CS-4 and MI-mRMR-D-CS-9 algorithms have low prediction errors with their monthly root mean square error being 8.51% and 7.64% respectively. …”
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Real power loss reduction by Rock Dove optimization and Fuligo Septica optimization algorithms by Kanagasabai L.

“…Rock Dove towards a particular place is based on the familiar (sight) objects on the traveling directions. In the formulation of the RD algorithm, atlas and range operator, and familiar sight operators have been defined and modeled. …”
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A dereverberation beamforming algorithm for noise source localization in anechoic and semi-reverberant environments by R. Singh, A. Mimani, R. Kumar

“…Following a trial-and-error procedure, an optimal frequency-dependent half-window width was determined to retain the direct field by multiplying the CCM with optimized Hanning window. …”
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FPGA Implementation of Synergetic Controller-Based MPPT Algorithm for a Standalone PV System by Abdul-Basset A. Al-Hussein, Fadhil Rahma Tahir, Viet-Thanh Pham

“…Photovoltaic (PV) energy is gaining traction due to its direct conversion of sunlight to electricity without harming the environment. …”
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Study of the functional diagram and algorithm of tracking system for electrodynamic braking of DC electric train by V. A. Baranov, I. P. Vikulov, A. A. Kiselev, A. S. Maznev

“…A rheostatic braking circuit with stabilization of the maximum value of the excitation current at low speeds is proposed.…”
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Tool Wear Estimation in the Milling Process Using Backpropagation-Based Machine Learning Algorithm by Giovanni Oliveira de Sousa, Pedro Oliveira Conceição Júnior, Ivan Nunes da Silva, Dennis Brandão, Fábio Romano Lofrano Dotto

“…Some more advanced techniques in tool wear estimation are based on supervised machine learning algorithms, like several other applications in Industry 4.0’s context; however, a satisfactory performance can be obtained with simple techniques and low computational power. …”
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Compressive Sensing of Multichannel Electroencephalogram Signals Based on Nonlocal Low-Rank and Cosparse Priors by Jun Zhu, Lei Feng, Chunmeng Wang

“…However, this is ignored by contemporary compressive sensing (CS) algorithms, resulting in less recovery quality than is ideal. …”
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Image Super-Resolution via Adaptive Regularization Term of Compressed Sensing by Yintao Liu, Chao Ren, Hongjuan Shao, Qirui Liu, Yan Zhang

“…In addition, we derived an approximation to solve the model iteratively using the alternating direction method of multipliers (ADMM). In this paper, the sparse transform domain is trained by the K-SVD algorithm and the accuracy evaluation indexes of the experiments use peak signal-to-noise ratio (PSNR) and structural similarity (SSIM). …”
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Low-hit frequency-hopping communication systems for power Internet of things random access by Shu DU, Mei MA, Bo ZHAO, Qi ZENG, Xing LIU

“…The communication network is an essential component of the data acquisition and information transmission in power Internet of things (IoT).To meet the development requirements of multiple power service in the future, the wireless communication technique with flexible-access and high scalability is one of the development directions for power IoT.Due to the features of large-scale access, random access time, high security and reliability for information transmission of power IoT, a frequency-hopping (FH) technique with low-hit rate for random access was proposed.The construction algorithm of such FH pattern was based upon the combination and shift operation of conventional FH sequences.By the theoretical arithmetic and numerical simulation, the properties of the proposed FH pattern and the error-rate of the FH-based power IoT were evaluated.The analysis reveals that the new class of FH sequences and the system can meet the requirements of large-scale access and highly reliable communication for the power IoT, which has good application prospects.…”
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Low-hit frequency-hopping communication systems for power Internet of things random access by Shu DU, Mei MA, Bo ZHAO, Qi ZENG, Xing LIU

“…The communication network is an essential component of the data acquisition and information transmission in power Internet of things (IoT).To meet the development requirements of multiple power service in the future, the wireless communication technique with flexible-access and high scalability is one of the development directions for power IoT.Due to the features of large-scale access, random access time, high security and reliability for information transmission of power IoT, a frequency-hopping (FH) technique with low-hit rate for random access was proposed.The construction algorithm of such FH pattern was based upon the combination and shift operation of conventional FH sequences.By the theoretical arithmetic and numerical simulation, the properties of the proposed FH pattern and the error-rate of the FH-based power IoT were evaluated.The analysis reveals that the new class of FH sequences and the system can meet the requirements of large-scale access and highly reliable communication for the power IoT, which has good application prospects.…”
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Overbounding of Near Real-Time Estimated Ionospheric Gradient Slope in Low-Latitude Regions by Maria Caamano, Jose Miguel Juan, Jaume Sanz, Sam Pullen

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Robust Adaptive Multiple Backtracking VBKF for In-Motion Alignment of Low-Cost SINS/GNSS by Weiwei Lyu, Yingli Wang, Shuanggen Jin, Haocai Huang, Xiaojuan Tian, Jinling Wang

“…Initial alignment is a critical stage for SINS operations, and the alignment time and accuracy directly affect the SINS navigation performance. To address the issue that low-cost SINS/GNSS cannot effectively achieve rapid and high-accuracy alignment in complex environments that contain noise and external interference, an adaptive multiple backtracking robust alignment method is proposed. …”
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Hyperspectral Reconstruction Method Based on Global Gradient Information and Local Low-Rank Priors by Chipeng Cao, Jie Li, Pan Wang, Weiqiang Jin, Runrun Zou, Chun Qi

“…It combines reconstruction algorithms to recover hyperspectral data from low-dimensional measurement images. …”
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Real-Time Object Pose Tracking System With Low Computational Cost for Mobile Devices by Yo-Chung Lau, Kuan-Wei Tseng, Peng-Yuan Kao, I-Ju Hsieh, Hsiao-Ching Tseng, Yi-Ping Hung

“…We also propose a fast and effective pose inspection algorithm to detect tracking failures and incorrect pose estimation. …”
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Atypical structural tendencies among low-complexity domains in the Protein Data Bank proteome. by Sean M Cascarina, Mikaela R Elder, Eric D Ross

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Enhanced Curvature-Based Fabric Defect Detection: A Experimental Study with Gabor Transform and Deep Learning by Mehmet Erdogan, Mustafa Dogan

“…Manual fabric defect inspections are often characterized by low precision and high time costs, in contrast to intelligent anomaly detection systems implemented in the early stages of fabric production. …”
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Particle Swarm Optimization Support Vector Machine-Based Grounding Fault Detection Method in Distribution Network by Zhongqin Xiong, Shichang Huang, Shen Ren, Yutong Lin, Zewen Li, Dongyu Li, Fangming Deng

“…With the present fault detection method for low-voltage distribution networks, it is difficult to detect single-phase grounding faults under complex working conditions. …”
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