Survey of mobility prediction in wireless network by Ying WANG, Zhuang SU

“…Smart cities based on cloud computing,big data and artificial intelligence have become important development trends.Mobile prediction is the key technology of smart city.Firstly,in order to summarize the mobile prediction methods and its applications in wireless network,the importance and feasibility of mobile prediction were stated.And the datasets of mobile prediction were introduced.Secondly,the users’ trajectory characteristics and the method of mobile prediction were summarized and compared.Finally,the problems and challenges for mobility prediction were pointed out.…”
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Detection and analysis of energy data by using quantum filter by Haohan WU, Gang JIANG

“…With the rapid development of smart power grid as the core of smart meters,power big data has attracted the attention of users,power companies and the government.The introduction of adaptive filtering into the power grid information monitoring was explored.Due to the complexity of the power load curve,specific model cannot be described.A model-independent intelligent filter was constructed by using the recurrent quantum neural network.The quantum filter was tried to use in the power load forecasting and abnormal electrical testing.…”
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Editorial: Computer vision and image synthesis for neurological applications by Chenglong Zou, Chenglong Zou, Chenglong Zou, Shounak Roychowdhury, Saim Rasheed, Raza Ali

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A Self-Adaptive Extragradient Algorithm for Solving Quasimonotone Variational Inequalities by Li-Jun Zhu, Tzu-Chien Yin

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Application of blockchain in telecom operators by Yunyong ZHANG, Gang CHENG, Gang AN, Xuehong YANG, Guixiang ZOU

“…Blockchain is another disruptive technological revolution after the IoT,cloud computing and big data.Blockchain technology and typical application cases were firstly introduced,and then the role of blockchain technology and blockchain in operators were analyzed.Secondly,combined with the characteristics of the blockchain,the application of blockchain in multiple operators were focused on,such as infrastructure,international roaming settlement,digital points issuance and trading,data storage,cross-border payment,identity verification,and credit reporting.Finally,the challenges faced by operators in the comprehensive application of blockchain were introduced.…”
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Research on the selection of grid data storage technology by Chengling LI, Yuxiang ZHENG, Yiqi HONG, Wen LI, Huimin GUO

“…Unstructured data and real-time data were storaged by state grid company’s big data platform distributed file system (based on HDFS optimized package).Based on HDFS optimized packaging,HDFS was characterized by high fault tolerance,low cost and high throughput.It was suitable for large-scale data set applications and effectively supports large file storage.The unstructured data storage and real-time data storage was introduced,and the selection of grid data storage technology was studied.…”
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Teaching Reform of “Work-Integrated Learning” in International Trade Practice from the Perspective of BDaaS by Yiting Zhu

“…To improve the reform performance of international trade practice, the method with perspective of big data is researched in this study. The international trade professional is developing rapidly to keep pace with social development gradually. …”
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Design and implementation of a resource operation and maintenance system based on container arrangement technology by Xun ZHANG, Chengyu ZHANG, Jinwu WEI

“…Kubernetes container layout tools,Docker operation technology and Mesos framework choreography technology selection were used to solve China Unicom’s existing problems of business application container’s unbalance of resource scheduling.The problem of existing physical cluster elastic scalability capacity was solved.Through cluster and the technique of Mesos,the original big data deploy faster and the scalability problems were solved.Finally,container operation and management system was realized.…”
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The Hierarchical Minimax Inequalities for Set-Valued Mappings by Yen-Cherng Lin, Chin-Tzong Pang

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An improved lightweight ConvNeXt for rice classification by Pengtao Lv, Heliang Xu, Qinghui Zhang, Lei Shi, Heng Li, Youyang Chen, Yana Zhang, Dengke Cao, Zhongyang Liu, Yixin Liu, Jingwen Han, Zhan Zhang, Yiran Qi

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APPLICATION OF «BIGDATA» IN AN ASSESSMENT OF MIGRATORY PROCESSES by U. Musin, I. Nusratullin

“…In this research the possibility of application of «big data» in migration statistics is considered, problems which can arise at the same time, and also ways of their overcoming are analyzed.…”
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LTE network expansion under unlimited traffic packages in colleges and universities by Shuai WANG, Yi LI, Maolin CHEN, Guifang XU

“…After the launch of the unlimited traffic package,the demand for LTE network capacity has increased dra-matically,and the business model of college student users has also changed.Aiming to change the business traffic of college users before and after the launch of the unlimited traffic package,through the statistical analysis of big data,a business prediction model was proposed which was more suitable for traffic change by using least squares modeling,and the network guarantee rate based on this model was calculated.Capacity needs to guide university network ex-pansion and planning.…”
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Minimum Detour Index of Tricyclic Graphs by Wei Fang, Zheng-Qun Cai, Xiao-Xin Li

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Data processing method for telecom data based on projection pursuit by Jinming ZHAO

“…In the big data era, the data which operator can collect and process is quickly growing. …”
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Entity-relation modeling and discovery for smart search by Sean WANGX, Xiao-qing ZHENG, Yang-hua XIAO

“…Nowadays,by connecting the mobile networks,Internet of Things and the sensor networks to the Internet,the cyberspace has expanded to a ubiquitous space of human beings,machines and things.Combining with the technology of big data,the traditional search engines are evolving into their next generation—big search (or smart search).Entity-relation modeling and discovery are the key techniques to fulfill the vision of smart search.Approaches to model the entities and their relations in large scale by knowledge graph and knowledge warehouse,and ways to discovery new entities and the relations between them in the cyberspace are discussed.…”
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LUneXt: Simple and Efficient U-shaped Network Design for Medical Image Segmentation with Nonlinear Activation by Guanghong Deng, Bing Yu, Wenlong Jing, Yong Li, Xiaodan Zhao

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The influence of different negative feedback on the decay of self-deception by Juan Liu, Juan Liu, Juan Liu, Wenjun Ding, Wenjun Ding, Liying Deng, Min Tan, Min Tan, Peipei Guan

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Analysis of Association of Occupational Physical Activity, Leisure-Time Physical Activity, and Sedentary Lifestyle with Hypertension according to the Adherence with Aerobic Activit... by Mikyung Ryu, Sol Lee, Ho Gym, Weon-Chil Baek, Heejin Kimm

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Discussion on Redundant Processing Algorithm of Association Rules Based on Hypergraph in Data Mining by Jintan Zhu

“…With the rapid advancement of big data, it is becoming a great problem for people to find objective information in the database. …”
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Prediction of Future Terrorist Activities Using Deep Neural Networks by M. Irfan Uddin, Nazir Zada, Furqan Aziz, Yousaf Saeed, Asim Zeb, Syed Atif Ali Shah, Mahmoud Ahmad Al-Khasawneh, Marwan Mahmoud

“…Our experiments also demonstrate that the dataset for terrorist activities is big data; therefore, a DNN is a suitable model to process big data and understand the underlying patterns in the dataset.…”
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