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標(biāo)題: Titlebook: Wireless Sensor Network Technologies for the Information Explosion Era; Takahiro Hara,Vladimir I. Zadorozhny,Erik Buchmann Book 20101st ed [打印本頁]

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書目名稱Wireless Sensor Network Technologies for the Information Explosion Era影響因子(影響力)




書目名稱Wireless Sensor Network Technologies for the Information Explosion Era影響因子(影響力)學(xué)科排名




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書目名稱Wireless Sensor Network Technologies for the Information Explosion Era網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Wireless Sensor Network Technologies for the Information Explosion Era被引頻次




書目名稱Wireless Sensor Network Technologies for the Information Explosion Era被引頻次學(xué)科排名




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書目名稱Wireless Sensor Network Technologies for the Information Explosion Era讀者反饋




書目名稱Wireless Sensor Network Technologies for the Information Explosion Era讀者反饋學(xué)科排名





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Hiroyuki Kitagawa,Yousuke Watanabe,Hideyuki Kawashima,Toshiyuki Amagasay ranges. The slip distribution is estimated by the waveform inversion analysis using velocity waveforms in the frequency range from 0.01 to 0.125 Hz at strong motion stations along the Pacific coast. The strong motion generation area (SMGA) is estimated by the strong ground motion simulation in 0.1
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Michael Daum,Frank Lauterwald,Martin Fischer,Mario Kiefer,Klaus Meyer-Wegener vehicles is a major component of the end-to-end delay, as it presents how long it takes to encounter the other mobile vehicle to have any chances to forward/relay the data for communications. Larger inter-contact time results in larger end-to-end delay.
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Integration of Heterogeneous Sensor Nodes by Data Stream Managementolutions, . (SPSs), and their integration. An approach that maps a global data-stream query to distributed and heterogeneous sensor nodes and SPSs opens a path to solve the problems mentioned above. Integration is achieved in two ways: semantic integration is done implicitly by the partitioning and
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Wireless Sensor Network Technologies for the Information Explosion Era
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1860-949X osion era. The book is organized in three main parts that consider (1) technical issues of WSNs, (2) the integration of multiple978-3-642-26386-6978-3-642-13965-9Series ISSN 1860-949X Series E-ISSN 1860-9503
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Wireless Sensor Network Technologies for the Information Explosion Era978-3-642-13965-9Series ISSN 1860-949X Series E-ISSN 1860-9503
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Energy-Efficient Task Scheduling and Data Aggregation Techniques in Wireless Sensor Networks for Infsm in a wireless sensor network and introduce our approaches on energy-efficient and adaptive control mechanisms. Second, we introduce our data aggregation method that exploits the characteristics of data and communication in a wireless sensor network. Finally, we discuss our future plan to interope
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Secure Data Aggregation in Wireless Sensor Networkssor lifetime is improved and the network works for a longer period of time. Data aggregation is one such technique where data originating at different sensors is combined and transmitted together. This in-network processing of data helps in reducing the wireless communication but it also makes the t
作者: Preamble    時間: 2025-3-27 03:42
Data Management Solutions in Networked Sensing Systems of solutions in this area, which we will explore in this chapter. The first is . which provide distributed processing of sensor data. The second is . which are centralized systems that deal with stream data flowing from sensors. And finally, some hybrid approaches have also recently appeared which
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Stream-Based Real World Information Integration Frameworkdatory. The infrastructure design should be based on the philosophy of a novel framework beyond the relational data management for two reasons: First is the freshness of data. To keep sensor data fresh, an infrastructure should process data efficiently; this means conventional time consuming transac
作者: 細(xì)微差別    時間: 2025-3-27 13:36
Toward Construction of Wearable Sensing Environmentsting environments runs various applications with various sensors (wearable sensors). The beginning of this chapter describes the present situation with wearable sensing by giving examples of several applications using state-of-the-art technologies, and outlines underlying problems with wearable sens
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Applying Overlay Networks to Ubiquitous Sensor Managementeen developed and interconnected around the globe for the sharing of sensing data on a global scale. Such data greatly affect our daily lives, such as environmental issues and business development. A scalable decentralized system that provides multiple-attribute search is a key mechanism for sharing
作者: 同步信息    時間: 2025-3-28 01:06
X-Sensor: Wireless Sensor Network Testbed Integrating Multiple Networkssensor networks constructed at different sites, which can be accessed by remote users. This makes easy for users to conduct experiments in different environments. Moreover, X-Sensor provides real sensor data acquired by sensor nodes in each sensor network, which are useful for researchers working on
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Book 20101st editionchnology is exploding. Typically, large enterprises have approximately a petabyte of operational data stored in hundreds of data repositories supporting thousands of applications. Data storage volumes grow in excess of 50% annually. This growth is expected to continue due to vast proliferation of ex
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Mathematical Analysis and Applications in ModelingICMAAM 2018, Kolkata
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Book 1999s often much wider than previously believed. Of course,there are many enzymes which are very strictly bound to their natural substrate(s). They play an important role in metabolism and they are gener- ly not applicable for biotransformations. On the other hand, an impressive number of biocatalysts h




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