Self-Organizing Localization with multiplexed topology for smart devices in indoor space

Author(s):  
Chihiro Kawata ◽  
Takamasa Kitanouma ◽  
Eiji Nii ◽  
Ryusei Mori ◽  
Yasuhisa Takizawa
2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Myoungbeom Chung

In this paper, we propose a density estimation system of user density at the closed space using high frequencies of speaker and microphone of smart device. High frequencies are sent to the closed space by the server speaker of the density estimation system, and smart devices located at the space detect the high frequencies via the microphone of each device. The smart devices detecting the high frequencies send data to the server system, and the system calculates data from the smart devices. To evaluate performance of the proposed system, we did some experiments with the density estimation system and 20 smart devices. According to the test results, the proposed system showed 96.5% accuracy, and we confirm that the system is very useful for density estimation. Therefore, this system can precisely estimate user density at the closed space, and it could be useful technology for the density estimation of space users and measurement of space using state at indoor space.


1993 ◽  
Author(s):  
Steven A. Harp ◽  
Tariq Samad ◽  
Michael Villano

1998 ◽  
Author(s):  
Svetlana Apenova ◽  
Igor Yevin

1992 ◽  
Author(s):  
Lewis O. Harvey ◽  
Anne Igel ◽  
Eric K. Schmidt

2006 ◽  
Author(s):  
Elena Pugacheva ◽  
Konstantin Solovienko
Keyword(s):  

Author(s):  
Manbir Sandhu ◽  
Purnima, Anuradha Saini

Big data is a fast-growing technology that has the scope to mine huge amount of data to be used in various analytic applications. With large amount of data streaming in from a myriad of sources: social media, online transactions and ubiquity of smart devices, Big Data is practically garnering attention across all stakeholders from academics, banking, government, heath care, manufacturing and retail. Big Data refers to an enormous amount of data generated from disparate sources along with data analytic techniques to examine this voluminous data for predictive trends and patterns, to exploit new growth opportunities, to gain insight, to make informed decisions and optimize processes. Data-driven decision making is the essence of business establishments. The explosive growth of data is steering the business units to tap the potential of Big Data to achieve fueling growth and to achieve a cutting edge over their competitors. The overwhelming generation of data brings with it, its share of concerns. This paper discusses the concept of Big Data, its characteristics, the tools and techniques deployed by organizations to harness the power of Big Data and the daunting issues that hinder the adoption of Business Intelligence in Big Data strategies in organizations.


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