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標(biāo)簽： 云服務(wù)
上傳時間： 2016-01-03
上傳用戶：cyshts
This book provides an overview of recent innovations and achievements in the broad areas of cyber-physical systems (CPS), including architecture, networking, systems, applications, security, and privacy. The book discusses various new CPS technologies from diverse aspects to enable higher level of innovation towards intelligent life. The book provides insight to the future integration, coordination and interaction between the physical world, the information world, and human beings. The book features contributions from renowned researchers and engineers, who discuss key issues from various perspectives, presenting opinions and recent CPS-related achievements.Investigates how to advance the development of cyber-physical systems Provides a joint consideration of other newly emerged technologies and concepts in relation to CPS like Cloud computing, big data, fog computing, and crowd sourcing Includes topics related to CPS such as architecture, system, networking, application, algorithm, security and privacy
標(biāo)簽： Cyber-Physical Systems
上傳時間： 2019-04-21
上傳用戶：danyun
The surge of mobile data traffic forces network operators to cope with capacity shortage. The deployment of small cells in 5G networks is meant to reduce latency, backhaul traffic and increase radio access capacity. In this context, mobile edge computing technology will be used to manage dedicated cache space in the radio access network. Thus, mobile network operators will be able to provision OTT content providers with new caching services to enhance the quality of experience of their customers on the move.
標(biāo)簽： Networks Cloud Edge 5G
上傳時間： 2020-05-26
上傳用戶：shancjb
Smartphones have become a key element in providing greater user access to the mobile Internet. Many complex applications which used to be limited to PCs, have been developed and operated on smartphones. These applications extend the functionalities of smartphones, making them more convenient for users to be connected. However, they also greatly increase the power consumption of smartphones, making users frustrated with long delays in Web browsing.
標(biāo)簽： Browsing Mobile Cloud Using Web the
上傳時間： 2020-05-30
上傳用戶：shancjb
Five years have passed since the first edition of this book was published.Over the five years,the world has witnessed a technological revolution headlined by an array of exciting consumer and industrial products such as the Nintendo Wii, Apple iPod/iPad, sensor-rich smart phones, phones with cameras,new operating systems for mobile phones and apps,e-books,WiFi,voice- over-IP calls, social networking, 3D animated movies, and Cloud computing, to name the major ones that affect everyday living
標(biāo)簽： Foundations MEMS of
上傳時間： 2020-06-06
上傳用戶：shancjb
With the proliferation of Cloud computing and Internet online services, more and more data and computation are migrated to geographical distributed Internet data centers (IDCs), which can provide reliability, management, and cost benefits. However, IDC operators encounter several major problems in IDC operations, such as huge energy consumption and energy cost, and high carbon emission. To deal with the above problems, IDC operators have to efficiently manage the way of energy consumption and energy supply. Considering the potential of smart grid, we focus on the energy management of IDCs in smart grid from several perspectives, i.e., power outage, carbon emission, heterogeneous service delay guarantees, and operation risk.
標(biāo)簽： Internet Centers Data
上傳時間： 2020-06-07
上傳用戶：shancjb
Although state of the art in many typical machine learning tasks, deep learning algorithmsareverycostly interms ofenergyconsumption,duetotheirlargeamount of required computations and huge model sizes. Because of this, deep learning applications on battery-constrained wearables have only been possible through wireless connections with a resourceful Cloud. This setup has several drawbacks. First, there are privacy concerns. Cloud computing requires users to share their raw data—images, video, locations, speech—with a remote system. Most users are not willing to do this. Second, the Cloud-setup requires users to be connected all the time, which is unfeasible given current cellular coverage. Furthermore, real-time applications require low latency connections, which cannot be guaranteed using the current communication infrastructure. Finally, wireless connections are very inefficient—requiringtoo much energyper transferredbit for real-time data transfer on energy-constrained platforms.
標(biāo)簽： Embedded_Deep_Learning Algorithms
上傳時間： 2020-06-10
上傳用戶：shancjb
最新版本的LabVIEW 2019包括以下主要功能：簡單的包構(gòu)建，便于代碼分發(fā)-Backward兼容的運(yùn)行引擎，簡化了現(xiàn)有二進(jìn)制文件的使用-Native Python Node用于在LabVIEW中調(diào)用Python腳本-64位版本的LabVIEW FPGA模塊- 支持Vivado 2017.2 FPGA編譯工具-LabVIEW Cloud Toolkit for Azure- 與所有NI硬件兼容文件較大,存在百度網(wǎng)盤,下載文件中提供了鏈接和提取碼。打開即可下載。
標(biāo)簽： labview
上傳時間： 2022-07-10
上傳用戶：
最新版本的LabVIEW 2019包括以下主要功能：簡單的包構(gòu)建，便于代碼分發(fā)-Backward兼容的運(yùn)行引擎，簡化了現(xiàn)有二進(jìn)制文件的使用-Native Python Node用于在LabVIEW中調(diào)用Python腳本-64位版本的LabVIEW FPGA模塊- 支持Vivado 2017.2 FPGA編譯工具-LabVIEW Cloud Toolkit for Azure- 與所有NI硬件兼容文件較大,存在百度網(wǎng)盤,下載文件中提供了鏈接和提取碼。打開即可下載。
標(biāo)簽： labview
上傳時間： 2022-07-10
上傳用戶：d1997wayne
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標(biāo)簽： 電力電子技術(shù)
上傳時間： 2013-07-04
上傳用戶：eeworm
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