Beaglebone black based e-system and advertisement revenue hike scheme for Bangalore city public transportation system

Shariff, Saleem Ulla; Swamy, J. C. Narayana; Seshachalam, D

doi:10.1109/icatcct.2016.7912105

Cited by 7 publications

(2 citation statements)

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“…This board has also been the core of schemes related to the Internet of Things (IoT), in [15] an intelligent multisensor system was developed, where a multipurpose hierarchical network composed of intelligent nodes capable of obtaining and managing heterogeneous data and spaces is created according to the IoT paradigm. This board has also served for the development of pollution monitoring in a city, measuring the level of carbon dioxide and carbon monoxide in the air along with the location of the Global Positioning System (GPS) as can be seen in [16], among other projects [17,18].…”

Section: Embedded Systemsmentioning

confidence: 99%

Execution and analysis of classic neural network algorithms when they are implemented in embedded systems

2019

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Many algorithms related to neural networks are used in a large number of applications, most of them implemented on computational equipment that have great processing and storage capacities, however, new communication schemes such as the Internet of Things, need that neural algorithms can be executed from small electronic devices, devices that do not have large storage or processing capacities, but they can function as intelligent control centres for the different "things" connected to the Internet. Currently, there are various electronic devices that allow generating low-cost intelligent technology projects that permit interaction within the Internet of things, such as the Arduino UNO, Tiva-C, and BeagleBone development boards. In this project, we present the analysis of the Perceptron, ADALINE and Hopfield neural network algorithms, when they are executed within the three mentioned development boards, in order to define the best tool to be utilized when using such neural schemes and few data are processed. Economic cost, temporary response and technical capabilities of electronic devices have been evaluated.

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Section: Embedded Systemsmentioning

confidence: 99%

Execution and analysis of classic neural network algorithms when they are implemented in embedded systems

2019

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“…Also addressing the mobility issues in smart cities, but from a different perspective, the work in [50] leveraged RFID cards as a mechanism to manage passengers in a public system, controlled by a BeagleBone Black board. That board also controls advertisement and information displayed on LCD displays, integrating two important services expected from smart-city environments.…”

Section: Mobilitymentioning

confidence: 99%

Open-Source Electronics Platforms as Enabling Technologies for Smart Cities: Recent Developments and Perspectives

Costa

Durán-Faúndez

2018

Electronics

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With the increasing availability of affordable open-source embedded hardware platforms, the development of low-cost programmable devices for uncountable tasks has accelerated in recent years. In this sense, the large development community that is being created around popular platforms is also contributing to the construction of Internet of Things applications, which can ultimately support the maturation of the smart-cities era. Popular platforms such as Raspberry Pi, BeagleBoard and Arduino come as single-board open-source platforms that have enough computational power for different types of smart-city applications, while keeping affordable prices and encompassing many programming libraries and useful hardware extensions. As a result, smart-city solutions based on such platforms are becoming common and the surveying of recent research in this area can support a better understanding of this scenario, as presented in this article. Moreover, discussions about the continuous developments in these platforms can also indicate promising perspectives when using these boards as key elements to build smart cities.

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Interactive System Using Beaglebone Black with LINUX Debian for Its Application in Industrial Processes

Pilatásig

Silva

Chacón

et al. 2018

Proceedings of the International Conference on Information Technology &Amp; Systems (ICITS 2018)

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Beaglebone black based e-system and advertisement revenue hike scheme for Bangalore city public transportation system

Cited by 7 publications

References 0 publications

Execution and analysis of classic neural network algorithms when they are implemented in embedded systems

Execution and analysis of classic neural network algorithms when they are implemented in embedded systems

Open-Source Electronics Platforms as Enabling Technologies for Smart Cities: Recent Developments and Perspectives

Interactive System Using Beaglebone Black with LINUX Debian for Its Application in Industrial Processes

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