Globally accessible machine automation using Raspberry pi based on Internet of Things

Vuddanti, Sandeep; Gopal, K. Lalith; Naveen, S.; Amudhan, A.; Kumar, Lakshmi Sutha

doi:10.1109/icacci.2015.7275764

Cited by 49 publications

(18 citation statements)

References 3 publications

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“…Pero lo más importante para fines de este proyecto, la Raspberry Pi ha sido el centro de operaciones de muchas propuestas tecnologías que buscan la conexión de dispositivos dentro del IoT, como por ejemplo la generación de sistemas de monitoreo ambiental [7], así como el control y monitoreo de sistemas domóticos tal como se ve en [8] y [9], incluso se ha propuesto el monitoreo del entorno urbano [10].…”

Section: Raspberry Piunclassified

Diseño de una red neuronal distribuida entre dispositivos Raspberry Pi conectados a Internet por medio de XMPP

Contreras¹,

Varela²,

Gudiño-Peñaloza³

2019

RCS

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Resumen. Actualmente se tienen diferentes esquemas de comunicación que buscan la interconexión de la mayor cantidad de dispositivos posibles, tal como el Internet de las Cosas, para así poder controlar actuadores u obtener datos desde diferentes puntos geográficos. Cuando se tienen situaciones tales como el estudio de los comportamientos ambientales, análisis de los comportamientos de consumo de individuos, o análisis de comportamientos poblacionales generales, es necesario obtener información de diferentes zonas y analizarlas en conjunto para obtener el resultado adecuado. Por este motivo, la generación de sistemas que puedan trabajar en conjunto desde distintas latitudes se vuelve un tema de estudio importante. En este trabajo se describirán diferentes modelos para la generación de una red neuronal distribuida, o segmentada, entre diferentes dispositivos conectados a Internet comunicándose mediante el protocolo de mensajería XMPP. Estos modelos logran identificar patrones de entrenamiento con datos provenientes desde distintas fuentes. El modelo utiliza tarjetas de desarrollo Raspberry Pi 3B+ para procesar y entrenar la red neuronal.Palabras clave: internet de las cosas, redes neuronales distribuidas, cómputo distribuido, Raspberry Pi, XM PP.Abstract. Currently there are different communication schemes that seek the interconnection of any kind of devices, such as the Internet of Things, in order to control actuators or obtain data from different geographical points. When there are situations such as the study of environmental behaviors, or analysis of general population behaviors, it is necessary to obtain information from different areas and analyze such data together to obtain the correct result. For this reason, the generation of systems that can work together from different latitudes becomes an important topic of study. In this paper we will describe different models for the generation of a distributed or segmented neural network between different de-197

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Section: Raspberry Piunclassified

Diseño de una red neuronal distribuida entre dispositivos Raspberry Pi conectados a Internet por medio de XMPP

Contreras¹,

Varela²,

Gudiño-Peñaloza³

2019

RCS

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“…In this work, the authors proposed horizontal structure. The security [23][24][25][26][27][28][29][30][31]of the information content is given by managing directly the objects. Hence, sender and receiver do not tamper the messages.…”

Section: B Content Aware Security Techniquementioning

confidence: 99%

Augmentation and Orchestration of Security Techniques in Fog Computing

2019

ijrte

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The inventions in the field of Cloud computing with mobile devices, cloudlets, Edge computing are sizzling growth of IoT(Internet of Things) devices. The cloud computing technology has its limitation in various attributes such as bandwidth, latency, location awareness, resource constraints etc. In order to overcome these issues, the edge computing, which is known as manipulating the data at the edge of the network. In order to support various integrated features with IoT such as storage, networking, home energy management, augment reality fog computing provides resource access to the network edge of the user. In the user side it is confronted with serious security issues for data security. This article provides the augmentation and orchestration of security issues in fog computing. In this paper, first we check the architecture of fog computing. Then we suggest broad taxonomy of fog architecture with various architectures. Finally, this paper is concluded with scope and future research in fog computing

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“…The back end involves building a Pi based circuit to emulate devices used at residential locations for the purpose of home automation such as temperate sensors, motors, occupancy (proximity) sensors, lighting control etc. [1][2][3].Things are getting simpler and easier with the technological growth and expansion. Automation can be described as deployment of either or both control systems and information technology to reduce or facilitate the human efforts in the production of goods and services inside any system.…”

Section: Based Around the Cheap But Powerful Linux Basedmentioning

confidence: 99%

Design of Controlling Home Appliance Remotely Using Raspberry pi

Parthasarathi¹,

Ajin²,

Jeyavinotha³

2019

IJRTER

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The electronic device that we build as part of this paper can assist a user in controlling all the home appliances via WiFi technology. The home automation device that we build can be integrated with almost all the home appliances and can be used to control them remotely from any part of the world. Raspberry Pi is a miniature size computer that is capable of performing all the functions as that of a computer. The home appliances will be connected to the Raspberry Pi board with help of relay driver modules which will facilitate the On/Off actions based on the load given. The system will be connected to the internet through WiFi and a cloud interface will be created to control the appliances from a remote location. The device can also be connected to an Android App which we can develop on our own using some applications like MIT App inventor etc. By using this app, we can able to monitor and control the home appliances from any part of the world with ease. We can also include a PIR sensor with this paper to make it switch ON automatically the appliances whenever a person enters the room and switch OFF the appliances whenever the person leaves the room.

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Globally accessible machine automation using Raspberry pi based on Internet of Things

Cited by 49 publications

References 3 publications

Diseño de una red neuronal distribuida entre dispositivos Raspberry Pi conectados a Internet por medio de XMPP

Diseño de una red neuronal distribuida entre dispositivos Raspberry Pi conectados a Internet por medio de XMPP

Augmentation and Orchestration of Security Techniques in Fog Computing

Design of Controlling Home Appliance Remotely Using Raspberry pi

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