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Design and Implementation of Cloud Platform for Intelligent Logistics in the Trend of Intellectualization

China Communications 2017年第10期14卷 180-191页

作者： Mengke Yang Movahedipour Mahmood Xiaoguang Zhou salam shafaq Latif Zahid School of Automation Beijing University of Posts and Telecommunications Beij ing 100876 China Academic Center for Education Culture and Research (ACECR) 14155-4364 Tehran Iran School of Economics & Management Beijing University of Posts and Telecommunications Beijing 100876 China

Intellectualization has become a new trend for telecom industry, driven by intelligent technology including cloud computing, big data, and Internet of things. In order to satisfy the service demand of intelligent logistics, this paper designed an intelligent logistics platform containing the main applications such as e-commerce, self-service transceiver, big data analysis, path location and distribution optimization. The intelligent logistics service platform has been built based on cloud computing to collect, store and handling multi-source heterogeneous mass data from sensors, RFID electronic tag, vehicle terminals and APP, so that the open-access cloud services including distribution, positioning, navigation, scheduling and other data services can be provided for the logistics distribution applications. And then the architecture of intelligent logistics cloud platform containing software layer(SaaS), platform layer(PaaS) and infrastructure(IaaS) has been constructed accordance with the core technology relative high concurrent processing technique, heterogeneous terminal data access, encapsulation and data mining. Therefore, intelligent logistics cloud platform can be carried out by the service mode for implementation to accelerate the construction of the symbiotic win-winlogistics ecological system and the benign development of the ICT industry in the trend of intellectualization in China.

关键词：智能化技术物流平台设计生态体系建设服务需求车载终端物流配送智能技术

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Research on Protecting Information Security Based on the Method of Hierarchical Classification in the Era of Big Data

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Journal of Cyber Security 2019年第1期1卷 19-28页

作者： Guangyong Yang Mengke Yang shafaq salam Jianqiu Zeng School of Economics&Management Beijing University of Posts and TelecommunicationsBeijing100876China School of Automation Beijing University of Posts and TelecommunicationsBeijing100876China Beaconhouse School System PeshawarPakistan

Big data is becoming increasingly important because of the enormous information generation and storage in recent *** has become a challenge to the data mining technique and *** on the characteristics of geometric explosion of information in the era of big data,this paper studies the possible approaches to balance the maximum value and privacy of information,and disposes the Nine-Cells information matrix,hierarchical ***,the paper uses the rough sets theory to proceed from the two dimensions of value and privacy,establishes information classification method,puts forward the countermeasures for information *** spam messages for example,the massive spam messages can be classified,and then targeted hierarchical management strategy was put *** paper proposes personal Information index system,Information management platform and possible solutions to protect information security and utilize information value in the age of big data.

关键词： Big data hierarchical classification rough sets information index system

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