Euclidean Distance-Based Weighted Prediction for Merge Mode in HEVC by Hongwei Guo, Xiangsuo Fan, Lei Min

“…To address this problem, the paper proposes a Euclidean distance-based weighted prediction algorithm as an additional candidate in the merge mode. …”
Get full text

Real-time torque distribution simulation of parallel hybrid vehicle engine by Jing Wang

“…Validation employed the Gamma Technologies Suite simulation platform and the Next Generation Simulation dataset, with benchmark comparisons against Equivalent Consumption Minimization Strategy, Fuzzy Logic Control, and Thermostat Strategy models.ResultsThe optimized Proximal Policy Optimization algorithm achieved 93.2% accuracy and 1.0% loss rate upon convergence, with an average feedback time of 32 milliseconds. …”
Get full text

Energy-efficient and fast method on storage and querying in wireless sensor networks by PENG Shao-liang, LI Shan-shan, PENG Yu-xing, LIAO Xiang-ke, XIAO Nong

“…Since the energy is one of the most pre- cious resources, an MESQ optimization problem is formed whose aim is to select the optimum number of replicas and queries that minimize the total energy cost, subject to unrestrained or restrained storage. …”
Get full text

An Efficient Constant Train Regulation Method Based on Train Group Distribution by LI Denggen, LIANG Ye, XIAO Xiyu, LI Juanjuan

“…In the event of an emergency in urban rail transit, train will not be able to run according to the existing operating chart, and the adjustment of the train at equal intervals can simply and effectively restore the operational order. Aiming at the problem of train running disorder, in order to optimize the efficiency of restoring operation order, a constant train regulation method is designed in this paper. …”
Get full text

Gradient Method with Step Adaptation by Vladimir Krutikov, Elena Tovbis, Svetlana Gutova, Ivan Rozhnov, Lev Kazakovtsev

“…The paper solves the problem of constructing step adjustment algorithms for a gradient method based on the principle of the steepest descent. …”
Get full text

Improved Grey Wolf Algorithm: A Method for UAV Path Planning by Xingyu Zhou, Guoqing Shi, Jiandong Zhang

“…Simulation results demonstrate that the proposed NI–GWO algorithm can effectively solve the path planning problem for UAVs in uncertain environments. Compared to Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC), GWO, and MP–GWO algorithms, the NI–GWO algorithm can achieve the optimal fitness value and has significant advantages in terms of average path length, time, number of collisions, and obstacle avoidance capabilities.…”
Get full text

Startup Drift Compensation of MEMS INS Based on PSO–GRNN Network by Songlai Han, Jingyi Xie, Jing Dong

“…Aiming to resolve this problem, a startup drift compensation method based on a PSO-GRNN model is proposed in this paper. …”
Get full text

A Knowledge Graph-Based Framework for Smart Home Device Action Recommendation and Demand Response by Wenzhi Chen, Hongjian Sun, Minglei You, Jing Jiang, Marco Rivera

“…Finally, with the recommendation expectation, the consumers’ comfort level and appliances’ average power load are modeled as a multi-objective optimization problem in the DARK to participate in demand response. …”
Get full text

The robustness of popular multiclass machine learning models against poisoning attacks: Lessons and insights by Majdi Maabreh, Arwa Maabreh, Basheer Qolomany, Ala Al-Fuqaha

“…Data set poisoning is a severe problem that may lead to the corruption of machine learning models. …”
Get full text

Research on Segmentation Experience of Music Signal Improved Based on Maximization of Negative Entropy by Qin Yao, Zhencong Li, Wanzhi Ma

“…This paper studies an improved algorithm based on negative entropy maximization for well-posed speech and music separation. Aiming at the problem that the separation performance of the negative entropy maximization method depends on the selection of the initial matrix, the Newton downhill method is used instead of the Newton iteration method as the optimization algorithm to find the optimal matrix. …”
Get full text

Highway Travel Time Prediction Using Sparse Tensor Completion Tactics and K-Nearest Neighbor Pattern Matching Method by Jiandong Zhao, Yuan Gao, Jinjin Tang, Lingxi Zhu, Jiaqi Ma

“…Aiming at the data sparseness problem, virtual sensor nodes are set up between real RTMS nodes, and the two-dimensional linear interpolation and piecewise method are applied to estimate the average travel time between two nodes. …”
Get full text

Tight MILP formulation for pipeline gas flow with linepack by T. Klatzer, S. Wogrin, D.A. Tejada-Arango, G. Morales-España

“…In integrated power and gas energy system optimization models (ESOMs), pipeline gas transmission with linepack is a particularly complex problem due to its non-linear and non-convex character. …”
Get full text

A Study of Multi-distributed Resource Equalization Allocation for Virtual Power Plants Based on Genetic-heuristic Algorithm by Haifeng Li, Tao Jin, Xian Xu, Lin Shi

“…Abstract A multi-resource balanced allocation method using a genetic-heuristic fusion algorithm is proposed to address the imbalance in distributed power generation resource allocation and the over-generation problem in virtual power plants. By establishing models of wind, solar, storage, and controllable load characteristics, an optimization model is constructed with objectives of resource allocation balance and minimization of call costs, subject to constraints such as power balance. …”
Get full text

Medical Image Classification Algorithm Based on Weight Initialization-Sliding Window Fusion Convolutional Neural Network by Feng-Ping An

“…However, deep learning has the following problems in medical image classification. First, it is impossible to construct a deep learning model hierarchy for medical image properties; second, the network initialization weights of deep learning models are not well optimized. …”
Get full text

Physarum-inspired multi-parameter adaptive routing protocol for coal mine hybrid wireless mesh networks by Guangzhi Han, Haifeng Jiang, Liansheng Lu, Shanshan Ma, Shuo Xiao

“…The resource-dependent adjustment, which considers the irreversible energy consumption and recoverable buffer occupation, makes the energy consumption problem prominent when there is a lack of energy. …”
Get full text

Constrained Federated Learning for AoI-Limited SFC in UAV-Aided MEC for Smart Agriculture by Mohammad Akbari, Aisha Syed, W. Sean Kennedy, Melike Erol-Kantarci

“…Then, inspired by Augmented Lagrangian dual optimization, a novel decentralized, federated learning-based solution is proposed to solve the problem. …”
Get full text

Research on Trajectory Tracking Control Method for Crawler Robot Based on Improved PSO Sliding Mode Disturbance Rejection Control by Zhiyong Yang, Qing Lang, Yuhong Xiong, Shengze Yang, Changjin Zhang, Lielei Deng, Daode Zhang

“…The method is based on improved particle swarm optimization and sliding mode active disturbance rejection control (SPSO-SMADRC). …”
Get full text

Engineering Scheme Decision System Integrating Case Reasoning and BIM Technology by Qi Zhang

“…The CBR technology improved the scientificity and reliability of decision-making through continuous updating and optimization of the case library.…”
Get full text

Outage performance analysis of IRS-aided cognitive satellite-terrestrial network by Min LIN, Huaibo GUO, Xiaoyu LIU, Lue HAN, Miaomiao TAN, Lyuxi YANG

“…The outage performance of intelligent reflecting surface (IRS) aided cognitive satellite-terrestrial network was analyzed.Firstly, for the scenario where the point beam was enabled at the satellite to serve the earth station, and the IRS and non-orthogonal multiple access (NOMA) were deployed at the base station to expand the communication range and serve multiple users, respectively, under the condition that cognitive radio technology was employed to enable spectrum sharing between the satellite primary network and the terrestrial secondary network, an optimization problem was established to maximize the average signal-to-noise ratio of terrestrial users.Secondly, a low complexity IRS phase shift design was proposed by using channel state information based on the angle domain, and the phase shift matrix of IRS was obtained.Then, the closed-form expressions of outage probabilities of terrestrial users were derived when users were static and moving, respectively.Furthermore, the asymptotic outage probability formulas at high signal-to-noise ratio were also derived to analyze the system performance.Finally, the correctness of derivation and the influence of main parameters on outage performance were verified by computer simulations.…”
Get full text

Multi-satellite cooperative beam hopping resource allocation based on interference perception by Jinlong HU, Jihong LIU, Yiqing ZHOU, Huan CAO, Zifan LIU, Jiawei ZHAO, Jinhong YUAN

“…Beam hopping (BH) technology is one of effective ways to solve limitation of beam resources and enhance the system coverage ability of low earth orbit (LEO) satellite systems.Existing research typically considers beam hopping resource allocation for a single LEO satellite, however, the actual LEO system is covered by multiple satellites in multiple orbits, and existing research ignores beam interference between satellites, which can easily lead to a decrease in system throughput and service quality.To address these issues, this paper designs an interference aware cooperative resource allocation for LEO with beam hopping (IARA-BH), aiming to maximize the beam service satisfaction (BSS).A BH resource allocation scheme by multi satellite interference coordination based on simulated annealing algorithm (MSIC-SAA) is proposed to solve the optimization problem.Simulation experiments show that compared to beam hopping resource allocation schemes that only consider a single satellite, the BSS of the MSIC-SAA algorithm has been improved by 47.24%, the average signal to interference noise ratio (SINR) has been improved by 27.40%, and the system throughput has been improved by 22.92%.…”
Get full text