Home automation using IoT and a chatbot using natural language processing

Baby, Cyril Joe; Khan, Faizan Ayyub; Swathi, J. N.

doi:10.1109/ipact.2017.8245185

Cited by 72 publications

(28 citation statements)

References 5 publications

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“…Machine learning (ML) is a kind of data analysis which uses algorithms that learn from data via a process called training. Over the years, ML algorithms have been applied successfully in many applications in areas such as natural language processing [84], computer vision [85], and healthcare [86]. Inspired by these examples, ML applications have now been extended to PV systems fault detection and diagnosis.…”

Section: Machine Learning-based Techniques (Mlbts)mentioning

confidence: 99%

Review and Performance Evaluation of Photovoltaic Array Fault Detection and Diagnosis Techniques

Appiah

Zhang

Ayawli

et al. 2019

International Journal of Photoenergy

102

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The environmentally clean nature of solar photovoltaic (PV) technology causes PV power generation to be embraced by all countries across the globe. Consequently, installation and utilization of PV power systems have seen much growth in recent years. Although PV arrays of such systems are robust, they are not immune to faults. To guarantee reliable power supply, economic returns, and safety of both humans and equipment, highly accurate fault detection, diagnosis, and interruption devices are required. In this paper, an overview of four major PV array faults and their causes are presented. Specifically, ground fault, line-line fault, arc fault, and hot spot fault have been covered. Next, conventional and advanced fault detection and diagnosis (FDD) techniques for managing these faults are reviewed. Moreover, a single evaluation metric has been proposed and utilized to evaluate the performances of the advanced FDD techniques. Finally, based on the papers reviewed, PV array fault management future trends and possible recommendations have been outlined.

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Section: Machine Learning-based Techniques (Mlbts)mentioning

confidence: 99%

Review and Performance Evaluation of Photovoltaic Array Fault Detection and Diagnosis Techniques

Appiah

Zhang

Ayawli

et al. 2019

International Journal of Photoenergy

102

View full text Add to dashboard Cite

show abstract

“…A chatbot or virtual assistant is an artificial intelligence program [4,7] which can simulate a conversation (Chat) with a user in natural language through messaging applications, websites or smartphones. Chatbot's structure consists of two parts: user request analysis and returning the response, as shown in Figure 3.…”

Section: Chatbotsmentioning

confidence: 99%

“…Several researchers contributed methods for controlling and ordering various devices using the chat method via chatbots. Cyril Joe Baby et al [4], for example, proposed a way to control various electrical devices in homes using a chatbot, working with IoT, that allow users to control devices within their house in a manual only. The system has not yet evaluated the errors regarding conversations via a chatbot and is not yet automated.…”

Section: Introductionmentioning

confidence: 99%

Chatting with Plants (Orchids) in Automated Smart Farming using IoT, Fuzzy Logic and Chatbot

Wiangsamut¹,

Chomphuwiset²,

Khummanee³

2019

Adv. sci. technol. eng. syst. j.

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Plants are living organisms that can hear and recognize the environment around them but cannot communicate to inform their needs. Thus, in the past, humans thought that it was impossible to communicate with plants. However, in this modern era, humans can be able to communicate with these plants. In this paper, we propose a model that can interact (Chat) with plants cultivated in the automated farm system based on Internet of Things (IoT) and Fuzzy Logic. According to the communication of plants and humans, we apply a chatbot algorithm for sending/receiving messages between users and automated smart farming. The messages are processed by the natural language processing (NLP) to parse and interpret the meaning of the conversation. The experimented plant in this paper is orchid, namely Dendrobium Sonia (Bomjo). The result from the evaluation shows that the average accuracy (Harmonic mean) of chatting between the user and the orchid is equal to 0.71, the precision and recall are 0.75 and 0.6 respectively.

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“…The state of the arts are comes in the terms of the result. The work of Baby et al [22] have focused on hose control application in which the user can interface with web application or a newly arrived chatbot tools its control on all house electrical equipment. The presenting chatbot technique follow the statement of text information that's text by user in the form of command and then control the all-electric equipment at house by using  ISSN: 2088-8708 the motion sensors.…”

Section: Introductionmentioning

confidence: 99%

A prior case study of natural language processing on different domain

Shruthi¹,

Swamy²

2020

IJECE

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In the present state of digital world, computer machine do not understand the human’s ordinary language. This is the great barrier between humans and digital systems. Hence, researchers found an advanced technology that provides information to the users from the digital machine. However, natural language processing (i.e. NLP) is a branch of AI that has significant implication on the ways that computer machine and humans can interact. NLP has become an essential technology in bridging the communication gap between humans and digital data. Thus, this study provides the necessity of the NLP in the current computing world along with different approaches and their applications. It also, highlights the key challenges in the development of new NLP model.

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Home automation using IoT and a chatbot using natural language processing

Cited by 72 publications

References 5 publications

Review and Performance Evaluation of Photovoltaic Array Fault Detection and Diagnosis Techniques

Review and Performance Evaluation of Photovoltaic Array Fault Detection and Diagnosis Techniques

Chatting with Plants (Orchids) in Automated Smart Farming using IoT, Fuzzy Logic and Chatbot

A prior case study of natural language processing on different domain

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