Designing and Prototyping of a Battery Management System for Solar Power Plants in Uganda. by Ssembalirwa, Denis

“…Additionally, the system employs intelligent algorithms to autonomously manage the charging and discharging cycles based on the battery’s condition. …”
Get full text

Sidelobe Suppression with Null Steering by Independent Weight Control by Zafar-Ullah Khan, Aqdas Naveed Malik, Fawad Zaman, Syed Azmat Hussain, Abdul-Rehman Khan

“…In situations where less than n-1 nulls are required to be steered, the existing algorithms have no criterion to utilize the remaining weights for sidelobe suppression. …”
Get full text

P-bRS: A Physarum-Based Routing Scheme for Wireless Sensor Networks by Mingchuan Zhang, Wangyang Wei, Ruijuan Zheng, Qingtao Wu

“…The simulation results show how P-bRS can achieve the effective trade-off between routing efficiency and energy equilibrium compared to two famous algorithms.…”
Get full text

Accurate Identification of Cancerlectins through Hybrid Machine Learning Technology by Jieru Zhang, Ying Ju, Huijuan Lu, Ping Xuan, Quan Zou

“…We improved the prediction accuracy of the original feature extraction methods and classification algorithms by more than 10% on average. Our work provides a basis for the computational identification of cancerlectins and reveals the power of hybrid machine learning techniques in computational proteomics.…”
Get full text

Dispatch automation system based low voltage distributed photovoltaic power station connected estimation model by Dayan MA, Xiangying XIE, Zhixiong NA, Wentao SHEN, Fanteng MENG

“…A large number of distributed photovoltaic access grids pose great challenges to the safe and stable operation of the grid.In view of the fact that the dispatching automation system did not realize the real-time acquisition and monitoring of low-voltage distributed photovoltaic data,the station estimation method was proposed as an auxiliary means for real-time acquisition of low-voltage distributed photovoltaic power plants,and the comprehensive low-voltage distributed photovoltaic power plants were estimateed through appropriate algorithms.Through case analysis,the deviation between the estimated value and the measured value was basically controlled within 8%,which proved the accuracy of the estimated model.This method is of great significance for the power dispatching department to strengthen the operation monitoring and statistical management of distributed photovoltaics,and to reasonably arrange the dispatching plan and coordinate the power supply.…”
Get full text

Lightweight Data Compression in Wireless Sensor Networks Using Huffman Coding by Henry Ponti Medeiros, Marcos Costa Maciel, Richard Demo Souza, Marcelo Eduardo Pellenz

“…Instead of attempting to devise novel ad hoc algorithms, we show that, given general knowledge of the parameters that must be monitored, it is possible to efficiently employ conventional Huffman coding to represent the same parameter when measured at different locations and time periods. …”
Get full text

Review of organizational value of science-intensive organizations configuration models (rocket and space industry organization case) by V. А. Shiboldenkov, S. S. Gavrilov

“…The implementation potential of the most promising algorithms of value creation in knowledge-intensive enterprises of the Russian Federation has been assessed. …”
Get full text

An Efficient Transmission Power Design for SWIPT Multi-antenna Network Integrated by an Intelligent Reflecting Surface by Pham Viet Tuan, Dinh Long Hoang, Tu Ha Nguyen, Trong Duc Hoang

“…The successive convex approximation and alternating optimization methods are exploited to construct efficient algorithms for finding the suboptimal precoding beamforming vectors at the BS and the phase shifts at the IRS elements. …”
Get full text

MODELING THE RISKS OF DEVELOPING AND IMPLEMENTING THE INFRASTRUCTURE PROJECT BASED ON NETWORK PLANNING METHODS by A. I. Denisova

“…The software implementation of discrete optimization algorithms for the project plan and simulation tests has been implemented in the framework of an automated scenario modeling system using Python.…”
Get full text

A multi-spectral and hyperspectral image dataset for evaluating chemical traits and the water status of avocado, olive and grape through leaf dehydration under laboratory condition... by Juan Sebastian Estrada, Rodrigo Demarco, Ciarán Miceal Johnson, Matias Zañartu, Andres Fuentes, Fernando Auat Cheein

“…However, the literature lacks benchmark datasets to test algorithms for predicting plant health status, with most researchers creating tailored datasets. …”
Get full text

Matrix Formulation of EISs of Graphs and Its Application to WSN Covering Problems by Yongyi Yan, Jumei Yue, He Deng

“…By these matrices’ complete characterization of these three structures of graphs, three algorithms are further designed which can find all these kinds of subsets of graphs mathematically. …”
Get full text

Deepfake swapped face detection based on double attention by Xiaojuan GONG, Tianqiang HUANG, Bin WENG, Feng YE, Chao XU, Lijun YOU

“…In view of the existing Deepfake detection algorithms, such problems as low accuracy and poor interpretability are common.A neural network model combining the double attention was proposed, which used channel attention to capture the abnormal features of false faces and combined the location of spatial attention to focus the abnormal features.To fully learn the contextual semantic information of the abnormal part of the false face, so as to improve the effectiveness and accuracy of face changing detection.In addition, the decision-making area of real and fake faces was shown effectively in the form of thermal diagram, which provided a certain degree of explanation for the face exchange detection model.Experiments on FaceForensics ++ open source data set show that the detection accuracy of proposed method is superior to MesoInception, Capsule-Forensics and XceptionNet.…”
Get full text

A Load Identification Application Technology Based on Regularization Method and Finite Element Modified Model by Bingrong Miao, Feng Zhou, Chuanying Jiang, Yaoxiang Luo, Hui Chen

“…The finite element model is modified with the different optimization algorithms to obtain the equivalent constraint condition. …”
Get full text

Influence of Attribute Granulation on Three-Way Concept Lattices by Jun Long, Yinan Li, Zhan Yang

“…Specifically, we present zoom-in and zoom-out algorithms to obtain more particular and abstract three-way concepts, separately. …”
Get full text

Neural Network-Based Nonlinear Fixed-Time Adaptive Practical Tracking Control for Quadrotor Unmanned Aerial Vehicles by Jianhua Zhang, Yang Li, Wenbo Fei

“…First, by combining the radial basis function neural networks (NNs) with virtual parameter estimating algorithms, a NN adaptive control scheme is developed for UAVs. …”
Get full text

WorldSkills International and Its Place in Higher Education System by A. V. Kirichenko, M. N. Strikhanov

“…The article includes algorithms for conducting demonstration WorldSkills standards exam, and makes the case for integrated studies to identify trends in the formation and development of professionalism in various activities, develop models of successful specialist, as well as use diagnostic technology to assess his/her personal and professional qualities. …”
Get full text

Machine Condition Monitoring System Based on Edge Computing Technology by Igor Halenar, Lenka Halenarova, Pavol Tanuska, Pavel Vazan

“…The whole solution includes the design of suitable sensors and of the implementation of the sensor layer, the description of data processing algorithms, the design on the communication infrastructure for the whole system, and tests in the form of experimental operation of the device in laboratory conditions. …”
Get full text

Research on business oriented 5G base station energy saving system based on AI deep learning by Mengqiang XU

“…Due to the needs of 5G business development, the number of 5G base stations has increased, resulting in a sharp increase in the electricity cost of operators.Energy saving and consumption reduction has become the sustainable development demand of operators.Based on the research of mainstream 5G base station energy-saving mode and multi-directional 5G energy-saving scheme, a 5G base station energy-saving system based on a variety of AI algorithms was proposed.Through the high-precision service identification at the level of single SIM card, the best strategy of 5G base station flexible energy-saving was realized on the basis of ensuring the stable operation of 5G important services and other types of services.…”
Get full text

Machine learning integrated with in vitro experiments for study of drug release from PLGA nanoparticles by Yu Sun, Shuhuai Qin, Yingli Li, Naimul Hasan, Yan Vivian Li, Jiangguo Liu

“…Experimental data collected from about 50 papers are analyzed by machine learning algorithms including linear regression, principal component analysis, Gaussian process regression, and artificial neural networks. …”
Get full text

Load-balanced self-routing switching structure by LI Hui1, WANG Bing-rui1, HUANG Jia-qing3, AN Hui-yao1, LEI Kai1, YI Peng4, WANG Bin-qiang4

“…Both stages used a multi-path self-routing structure. With simple algorithms and small buffers, the first stage structure transformed the arriving traffic into uniform and the second stage forwarded the data in a self-routing manner to their final destinations. …”
Get full text