Resource scheduling strategy based on simulated annealing algorithm in hybrid D2D cellular networks by Xiang YU, Haibo ZHANG, Lu YANG

“…D2D communication is a short distance communication mode in the future 5G network.In the process of communication,the information is transmitted from the sender to the receiver directly,without the need to transmit through the base station.The introduction of D2D communication in the traditional cellular network can greatly improve the total throughput of the system,increase the utilization of spectrum resources and reduce the power consumption of the transmitter.A resource allocation method which was used in hybrid D2D cellular network was mainly introduced,spectrum resources was distributed by Lagrange multiplier method combined with simulated annealing algorithm,a consideration of channel capacity and energy consumption of the resource scheduling strategy based on simulated annealing algorithm was put forward.This algorithm was simulated by the simulation platform in Vienna,compared to the traditional greedy optimization algorithm,it can significantly increase the total system throughput and bandwidth utilization and reduce the power consumption.In addition,the distributed algorithm was adopted,that D2D users searched for a suitable target channel and calculated their transmit power according to the algorithm steps,which reduced the signaling overhead of the base station.…”
Get full text

Convolution neural network algorithm-based fouling organisms classification model of seawater circulation cooling system by ZHANG Yi

“…The attachment of fouling organisms on the pipe wall structures is mainly in the form of aggregation of dominant species. …”
Get full text

A Proposed Approach For Solving Asymmetric Travelling Salesman Problem by Fuzzy Ant Colony Optimization Algorithm by Mehmet Aksaraylı, Osman Pala

“…Due to this reason, heuristic methods are mainly used for solving Travelling Salesman Problem. …”
Get full text

AGV Scheduling and Energy Consumption Optimization in Automated Container Terminals Based on Variable Neighborhood Search Algorithm by Ning Zhao, Rongao Li, Xiaoming Yang

“…Automated Guided Vehicles (AGVs) for automated container terminals are mainly used for horizontal transportation at the forefront of the terminal. …”
Get full text

Research on Ground Point Cloud Segmentation Algorithm Based on Local Density Plane Fitting in Road Scene by Tao Wang, Yiming Fu, Zhi Zhang, Xing Cheng, Lin Li, Zhenxue He, Haonan Wang, Kexin Gong

“…Experimental results show that the algorithm used in this paper has advantages compared with advanced algorithms of the same category, and can greatly reduce ground interference.…”
Get full text

Research on Pedestrian Avoidance Behavior for School Section Based on Improved BP Neural Network and XGboost Algorithm by Guiliang Lu, Mingwei Liu

“…While traditional studies on pedestrian evasive behavior have mainly focused on general traffic environments and used image-based features to predict trajectories, few have specifically addressed the behavior of pedestrians in school zones. …”
Get full text

An Improved SLAM Algorithm for Substation Inspection Robots Based on 3D Lidar and Visual Information Fusion by Yicen Liu, Songhai Fan

“…Current substation inspection robots mainly use Lidar as a sensor for localization and map building. …”
Get full text

A multiobjective evolutionary algorithm incorporating neighborhood detection for the vehicle routing problem with soft time windows by Hao Jiang, Zhiwei Zhang, Chao Wang, Xiaoshu Xiang

“…Abstract The Vehicle Routing Problems with Soft Time Windows (VRPSTWs) presents a common challenge in practical scenarios, which has spurred the development of various algorithmic solutions. Among these solutions, hybrid approaches that integrate evolutionary algorithms and neighborhood search techniques have shown great promise. …”
Get full text

Multi-Station Agricultural Machinery Scheduling Based on Spatiotemporal Clustering and Learnable Multi-Objective Evolutionary Algorithm by Liruizhi Jia, Qinshuo Zhang, Shengquan Liu, Bo Kong, Yuan Liu

“…The multi-station agricultural machinery scheduling process mainly involves two key stages: order allocation and path planning. …”
Get full text

A Deep Learning Algorithm of Neural Network for the Parameterization of Typhoon‐Ocean Feedback in Typhoon Forecast Models by Guo‐Qing Jiang, Jing Xu, Jun Wei

“…Abstract Two algorithms based on machine learning neural networks are proposed—the shallow learning (S‐L) and deep learning (D‐L) algorithms—that can potentially be used in atmosphere‐only typhoon forecast models to provide flow‐dependent typhoon‐induced sea surface temperature cooling (SSTC) for improving typhoon predictions. …”
Get full text

Canola Yield Estimation Using Remotely Sensed Images and M5P Model Tree Algorithm by Ileana De los Ángeles Fallas Calderón, Muditha K. Heenkenda, Tarlok S. Sahota, Laura Segura Serrano

“…Canola yield was estimated using selected vegetation indices derived from images, the percent cover of flowers, and the M5P Model Tree algorithm. Field samples were used to calibrate and validate prediction models. …”
Get full text

Detection of hypertension from pharyngeal images using deep learning algorithm in primary care settings in Japan by Takeo Nakayama, Yusuke Tsugawa, Hiroshi Yoshihara, Memori Fukuda, Sho Okiyama

“…Importance heatmaps revealed that the algorithm focused on the posterior pharyngeal wall area, where blood vessels are mainly located.Conclusions The results indicate that a deep learning-based algorithm can detect hypertension with high accuracy using pharyngeal images.…”
Get full text

Single-Source and Multi-Source Cross-Subject Transfer Based on Domain Adaptation Algorithms for EEG Classification by Rito Clifford Maswanganyi, Chunling Tu, Pius Adewale Owolawi, Shengzhi Du

“…In this paper, domain adaptation algorithms, including two machine learning (ML) algorithms, are contrasted based on the single-source-to-single-target (STS) and multi-source-to-single-target (MTS) transfer paradigms, mainly to mitigate the challenge of immense inter-subject variations in EEG neural dynamics that lead to poor classification performance. …”
Get full text

Monitoring shrub disturbance in the Qinghai–Tibet Plateau from 1990 to 2022 using the LandTrendr algorithm by Chunchun An, YuanYuan Hao, Xuexia Liu, Zhe Meng, Yixuan Wang, Shengshen He, Caicheng Huang

“…Shrub disturbance on the Tibetan Plateau is mainly concentrated in areas with an altitude of 2000–4000 m, a slope gradient of 15°−40°, and a shady slope aspect. …”
Get full text

Inversion of Aerosol Chemical Composition in the Beijing–Tianjin–Hebei Region Using a Machine Learning Algorithm by Baojiang Li, Gang Cheng, Chunlin Shang, Ruirui Si, Zhenping Shao, Pu Zhang, Wenyu Zhang, Lingbin Kong

“…The areas with higher concentrations are mainly situated in the southwest of Beijing, and the annual average concentrations of the four components in Beijing’s southwest are 28 μg·m⁻³, 7 μg·m⁻³, 8 μg·m⁻³, and 15 μg·m⁻³ for organics, sulfates, ammonium, and nitrates, respectively. …”
Get full text

Transportation and production collaborative scheduling optimization with multi-layer coding genetic algorithm for non-pipelined wells by Qiushi Li, Yuze Li, Haitong Sun, Wei Song, Honghong Li, Xiaoyong Gao, Chaodong Tan, Yaoyun Liu, Hongbing Liu

“…In this paper, a genetic algorithm based on multi-layer coding is proposed. …”
Get full text

Study on the mechanical properties of stratified rock mass based on 3D printing technology and FDEM algorithm by Yongchao Tian, Kaifang Ren, Fan He, Yong Liu, Penghai Deng, Jiaqi Guo, Feiyue Sun, Xin Huang, Jun Zhang

“…The weak regions in engineering mainly include bedding plane and crack network, whose mechanical properties have a significant impact on the stability of geotechnical engineering. …”
Get full text

A comprehensive review of rice mapping from satellite data: Algorithms, product characteristics and consistency assessment by Husheng Fang, Shunlin Liang, Yongzhe Chen, Han Ma, Wenyuan Li, Tao He, Feng Tian, Fengjiao Zhang

“…Remote sensing has become an essential tool for mapping rice cultivation due to its ability to cover large areas and provide timely observation. Existing reviews mainly focus on the paddy rice mapping methods. However, it lacks a comprehensive understanding on the quality of different paddy rice maps from regional to global scales. …”
Get full text

A PROBLEM OF CUTTING OFF THE LAMINATED SEMIS TYPE PLATE by Florin Ciofu

“…A problem often coped on many domains such as wood manufacturing, glass, plastics and metallic platework industry, is the shaping or cutting off a big plate in many pieces. …”
Get full text

Characterization of PET image using global and local entropy by Igor Fagner Vieira

“…The main application of this approach will be for, among other things, to construct pathological phantoms from PET images for dosimetry applications.…”
Get full text