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Wireless Network Technologies Supporting M2M Applications
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作者 Lei Zhenzhou 《ZTE Communications》 2005年第1期6-9,共4页
When computers and communication devices are available everywhere in the future,the categories of communication will expand to cover not only the man-man and the man-machine,but also the machine-machine(M2M)communicat... When computers and communication devices are available everywhere in the future,the categories of communication will expand to cover not only the man-man and the man-machine,but also the machine-machine(M2M)communication.Someday,the traffic generated by machines will greatly exceed those of man-machine and man-man applications.Large numbers of M2M applications will need various wireless networks to support them.This paper introduces the characteristics,advantages and disadvantages of the currently available various wireless network technologies,including WiFi,Bluetooth,ZigBee,passive RFID and the 802.15 standard networks. 展开更多
关键词 ZIGBEE UWB Wireless Network Technologies supporting M2M Applications RFID WiFi
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Applications and Supporting Technologies of 3G Services
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作者 Yan Hua (Mobile Division of ZTE Corporation,Shanghai 201203,China) 《ZTE Communications》 2004年第1期15-17,共3页
The paper introduces two typical 3G services:the mobile multimedia short message service and the streaming media service. The former is considered as a strong driving force to promote the development of 3G services an... The paper introduces two typical 3G services:the mobile multimedia short message service and the streaming media service. The former is considered as a strong driving force to promote the development of 3G services and applications.The latter is regarded as a typical service on future 3G networks.As supporting technologies of 3G services,open service architecture and open mobile architecture are also discussed. 展开更多
关键词 Applications and supporting Technologies of 3G Services MMS GPP WCDMA
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Practical use of initial displacement monitoring for predicting support behavior with asymmetric deformation in deep tunnel
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作者 Takeshi Sato Fumiharu Nakahara +2 位作者 Kazuo Sakai Weiren Lin Kiyoshi Kishida 《Underground Space》 2025年第4期43-67,共25页
Displacement monitoring provides essential information for safe and rational tunnel excavation.The data obtained allow engineers to analyze and predict tunnel behavior,facilitating the selection of appropriate support... Displacement monitoring provides essential information for safe and rational tunnel excavation.The data obtained allow engineers to analyze and predict tunnel behavior,facilitating the selection of appropriate supports and the evaluation of their effectiveness.In a recent tunnelling project in the Akaishi Mountains of central Japan,displacement monitoring was intensively implemented to ensure the stability of the 4.2-km-long Hirogawara adit,excavated to a maximum depth of 832 m.Analysis revealed a strong correlation between initial and final displacements.However,the tunnel experienced occasional support deformations.To address this,the trend of 3D absolute displacements was analyzed to predict and evaluate asymmetric deformation.The effective use of 1-cycle displacement monitoring proved critical for predicting final displacements and optimizing rock supports,particularly in cases with high overburden and limited geotechnical information. 展开更多
关键词 Displacement prediction Initial and final displacement support application Asymmetric deformation
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Making FAIR Easy with FAIR Tools:From Creolization to Convergence 被引量:3
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作者 Mark Thompson Kees Burger +2 位作者 Rajaram Kaliyaperumal Marco Roos Luiz Olavo Bonino da Silva Santos 《Data Intelligence》 2020年第1期87-95,305,共10页
Since their publication in 2016 we have seen a rapid adoption of the FAIR principles in many scientific disciplines where the inherent value of research data and,therefore,the importance of good data management and da... Since their publication in 2016 we have seen a rapid adoption of the FAIR principles in many scientific disciplines where the inherent value of research data and,therefore,the importance of good data management and data stewardship,is recognized.This has led to many communities asking“What is FAIR?”and“How FAIR are we currently?”,questions which were addressed respectively by a publication revisiting the principles and the emergence of FAIR metrics.However,early adopters of the FAIR principles have already run into the next question:“How can we become(more)FAIR?”This question is more difficult to answer,as the principles do not prescribe any specific standard or implementation.Moreover,there does not yet exist a mature ecosystem of tools,platforms and standards to support human and machine agents to manage,produce,publish and consume FAIR data in a user-friendly and efficient(i.e.,“easy”)way.In this paper we will show,however,that there are already many emerging examples of FAIR tools under development.This paper puts forward the position that we are likely already in a creolization phase where FAIR tools and technologies are merging and combining,before converging in a subsequent phase to solutions that make FAIR feasible in daily practice. 展开更多
关键词 FAIR data FAIR in practice FAIR tools FAIR application support creolization and convergence
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