Research on Large-Scale Social Network Graph Data Mining in Telecommunication by Lijiao Liu, Juncai Tao, Xiaojun Xiao, Yu Lu

“…The distribute and stand-alone graph computing frameworks and tools were researched for mining large-scale social network graph data like telecommunication network, and at the end the feasibility and usability of Graphchi in large-scale graph datasets were verified and a graph mining application was made with telecommunication data using stand-alone graph data processing tool—Graphchi.…”
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PSO based task scheduling for medical big data by Chao HU, Jun PENG, Wen-tao YU

“…How to select a suitable task scheduling strategy to accomplish the task of medical data query in scheduling and allocation inside each hospital is a important problem demanded to be dealt with in medical big data processing.In order to content the optimal medical data corresponding time and optimal cost considered in task scheduling,a improved particle swarm algorithm was proposed.The algorithm constructs the dual fitness function of optimal time and optimal cost to adjusted the inertia weight of the update of particle velocity adaptively,fasten the speed of optimal particle searching,and find out the most reasonable task scheduling scheme of data query,maximize the efficiency of medical data query in medical information sharing platform.Experiment results demonstrate the effectiveness of the proposed algorithm.…”
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Radar marine maneuvering target detection via high resolution sparse fractional ambiguity function by Xiaohan YU, Xiaolong CHEN, Jian GUAN, Yong HUANG

“…To solve the problem of fast detection of high maneuvering targets in complex ocean background,a radar target detection algorithm via sparse fractional ambiguity function (SFRAF) was proposed.The sparse Fourier transform (SFT) was introduced after instantaneous autocorrelation function calculation,which combines the advantages of SFT and fractional ambiguity function (FRAF).Therefore,SFRAF has good processing performance on high maneuvering signals and can achieve lower computational complexity.The simulation experiments and the measured data processing results show that compared with classical detection method,the detection performance of maneuvering target can be significantly improved,and compared with FRAF,the proposed method can achieve higher detection efficiency.…”
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Analysis on the Application of Multimedia-Assisted Music Teaching Based on AI Technology by Xiaoqian Ma

“…In order to improve the effect of modern music teaching, this paper combines AI technology to construct a multimedia-assisted music teaching system, combines music teaching data processing requirements to improve the algorithm, proposes appropriate music data filtering algorithms, and performs appropriate data compression processing. …”
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Potentialités de l’outil LiDAR pour cartographier les vestiges de la Grande Guerre en milieu intra-forestier (bois des Caures, forêt domaniale de Verdun, Meuse) by Rémi de Matos Machado, Jean-Paul Amat, Gilles Arnaud-Fassetta, François Bétard

“…This study explores the potential of LiDAR in analysing and mapping conserved traces of military facilities in the Caures wood (Verdun forest), site of the first fights of the Verdun battle (1916). Data processing and fieldwork serve to establish an innovative typology and detailed maps of remnants diversity, shelters and ditches, and organisation of the battlefield.…”
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Research and application of XGBoost in imbalanced data by Ping Zhang, Yiqiao Jia, Youlin Shang

“…The main idea is to combine SVM-SMOTE over-sampling and EasyEnsemble under-sampling technologies for data processing, and then obtain the final model based on XGBoost by training and ensemble. …”
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Research of On-line Detection System of End-face Run-out of Synchronizer Gear Set by Shen Kai, Liu Feifei, Meng Dejiao

“…The whole system is composed of mechanical parts and control parts: the mechanical part automatically completes the detection and stacking of the measured teeth,the control part is controlled by the PLC to the manipulator,the run-out detection and the data processing can be realized by industrial personal computer,and the run-out error is corrected. …”
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Survey on edge computing technology for autonomous driving by Pin LYU, Jia XU, Taoshen LI, Wenbiao XU

“…Edge computing plays an extremely important role in the environment perception and data processing of autonomous driving.Autonomous driving vehicles can expand their perception scope by obtaining environmental information from edge nodes, and can also deal with the problem of insufficient computing resources by offloading tasks to edge nodes.Compared with cloud computing, edge computing avoids high latency caused by long-distance data transmission, and provides autonomous driving vehicles with faster responses, and relieves the traffic load of the backbone network.Firstly, the edge computing-based cooperative perception and task offloading technologies for autonomous vehicles were introduced firstly, and related challenging issues were also proposed.Then the state-of-the-art of cooperative perception and task offloading technologies were analyzed and summarized.Finally, the problems need to be further studied in this field were discussed.…”
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Model Analysis of Environmental and Economic Impacts of a Microgrid Based on the Optimization Method by Pengxiao Ji

“…Moreover, considering the environmental benefits of the microgrid two-level economic dispatch model, this paper constructs an intelligent analysis model and uses the deep learning algorithm as the system learning algorithm to improve the system data processing capability. The simulation study verifies that the optimal solution model of the microgrid environment and economic impact based on the optimization method has a good effect, and the method in this paper can effectively improve the microgrid operating environment and economic benefits.…”
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Research on compatibility of high-performance network stack by Huiyou JIANG, Junfeng LI, Dan LI

“…The massive data processing in artificial intelligence system requires the support of high-throughput network.As a bridge between the upper artificial intelligence applications and the underlying high-speed hardware network adapter,the network stack plays a crucial role in the performance of the whole network system.Through detailed analysis and comparison of the compatibility of mainstream network stacks,it is found that the compatibility of various network stacks is generally low,which leads to difficulties in transplantation of artificial intelligence applications.The idea of achieving both high-compatibility and high-performance of user-level network stack were proposed.In this way,legacy applications could directly attain the improvement of performance without modification of the source code.Path for the subsequent development of network stack was lit up.…”
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Slow task scheduling algorithm based on node identification by Yun-fei CUI, Xin-ming LI, Yi LI, Dong LIU

“…In order to reduce the influence of the slow task, produced in big data processing, a scheduling algorithm (TQST) combining recognition, speculation and seduction of slow task was proposed. …”
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A study of the stored energy in titanium under deformation and failure using infrared data by A.Yu. Fedorova, M.V. Bannikov, O.A. Plekhov

“…The original mathematical algorithm for experimental data processing has been applied to obtain the rate of heat dissipation generated by plastic deformation and stored energy. …”
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Concept of a geoinformation platform for landmines and other explosive objects detection and mapping with UAV by Mykhailo Popov, Sergey Stankevich, Sergey Mosov, Stanislav Dugin, Stanislav Golubov, Artem Andreiev, Artur Lysenko, Ievgen Saprykin

“…The methods used are remote sensing, automated object detection, and centralized data processing in a geographic information system (GIS). …”
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Beyond personas. Machine Learning to personalise the project by Niccolò Casiddu, Francesco Burlando, Isabella Nevoso, Claudia Porfirione, Annapaola Vacanti

“…These archetypal models of ‘human’ are questioned in favour of a data processing approach, that better responds to the needs of the projects contextualised in our hyperconnected society. …”
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Comparative study of specific physical abilities to prove the efficacy of working with performance subgroups. by Nicolás Castellanos Gil, Roberto Rodríguez Valdés, Raúl López Fernández

“…We used SPSS for data processing and determined maximum and minimal values comparing measures for independent samples which determined changes. …”
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Le relevé interdisciplinaire d’art pariétal paléolithique en trois dimensions : intérêt, méthode et premiers résultats by Priscilia Barbuti, Oscar Fuentes, Stéphane Konik, Geneviève Pinçon

“…From data acquisition to data processing and management, the field adapts, borrows and assimilates 3D digital ecosystems according to various research problems. …”
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Integrated Architecture and Application Assumption of Earth-Space Communication and Remote Sensing Combination by Wenbo SU, Chi ZHANG, Niwei WANG, Zhichao QIN

“…Remote sensing systems are important means of space-based Earth observation, due to issues such as delayed measurement and control commands, data transmission, data processing, and product distribution in the ＆quot;collection-processing-distribution＆quot; process, it is difficult to effectively achieve real-time intelligent remote sensing application services that cover all day, all weather, and the world.The combination of low earth orbit communication and remote sensing satellite constellations is an effective way to solve service delay and separate control problems in existing systems.It summarized the current situation of communication and remote sensing integration over the world, and then imagined the architecture, development stages, and service modes of the integration of communication and remote sensing.Finally, key technologies under the communication and remote sensing integration architecture were proposed, and the application process of communication and remote sensing integration used typical application scenarios were explored.…”
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A survey of federated learning for 6G networks by Guanglei GENG, Bo GAO, Ke XIONG, Pingyi FAN, Yang LU, Yuwei WANG

“…It is an important feature of the 6G that how to realize everything interconnection through large-scale complex heterogeneous networks based on native artificial intelligence (AI).Thanks to the distinct machine learning architecture of data processing locally, federated learning (FL) is regarded as one of the promising solutions to incorporate distributed AI in 6G scenarios, and has become a critical research direction of 6G.Therefore, the necessity of introducing distributed AI into the future 6G especially for internet of things (IoT) scenarios was analyzed.And then, the potentials of FL in meeting the 6G requirements were discussed, and the state-of-the-arts of FL related technologies such as architecture design, resource utilization, data transmission, privacy protection, and service provided for 6G were investigated.Finally, several key technical challenges and potential valuable research directions for FL-empowered 6G were put forward.…”
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Improved ResNet algorithm based intelligent interference identification by Jian MA, Guangjin ZHANG, Lei ZHANG, Jingwei DAI

“…The labor cost of the current network operation and maintenance is high and the efficiency is low.How to quickly and accurately identify the type of network interference, and improve the work efficiency of the maintenance personnel has become an urgent problem to be solved.An intelligent interference identification method of improved deep residual network (ResNet) was studied.The interference data was collected and preprocessedby connecting with the communication interference data interface of the operator's northbound network management.The type of itwaslabelled and corrected by the current network experts to form an offline interference data set.Then the interference frequency domain information was used to generate the interference spectrum waveform image, and performed image processing and data processing for different interference types.After that, the traditional Res Net algorithm was improved according to the business characteristics to extract the features of single interference type.The features were weighted in the compound interference type to identify any type of interference.Finally, the interference data was identified online by importing the trained model, which effectively improved the accuracy and efficiency of interference identification.…”
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Data-intensive service deployment based on edge computing by Yongmei GAO, Guanjie CHENG

“…The demand is getting higher and higher for data processing due to big data volume, thus, data-intensive service shave emerged. …”
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