Smart Home Lighting System

The rapid increase in wireless technology has enormously increased wireless control of lighting system in residential, commercial, and industrial settings of many countries across the world. However, this system lacks troubleshooting interface, making it very difficult for the identification of faults in the lighting system. This paper therefore seeks to improve on the wireless lighting system by incorporating into the system two types of sensors such as the current sensor and light dependent resistance (LDR). The current sensor is functioned to determine fault in power supply, whilst the LDR determines fault due to damage in the AC lamp. The proposed system was first simulated with Proteus software to observe the set objectives. A successful simulation resulted in the implementation of the system. The results discussed prove that incorporating wireless technology with current sensor and LDR will make troubleshooting easy and effective when the need arises.

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“…A comparison was made with the reviewed studies at Section 2.2 to determine the novelty of the proposed system [8][9][10][11][12].…”

Section: Discussion Of Resultsmentioning

confidence: 99%

“…Swamy et al also implemented a smart home lighting system [10]. e work aimed at developing a flawless smart home helper to operate home appliances easily through voice command.…”

Section: Related Work Taştana and Gökoza Implemented Anmentioning

confidence: 99%

Enhancement of Wireless Lighting Control System

Attachie

Owusu

Adu

2021

Journal of Electrical and Computer Engineering

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“…NLP acts as an interface between the actual device and the user. • To replace physical switches for control of electric appliances such as lights with automated control, Swamy et al [193] implemented a system using a Raspberry Pi interface with NLP-based voice recognition. With this system, a user can remotely switch on and off the lighting of their house with voice commands only which is helpful for the elderly and the differentially abled people.…”

Section: Smart Homementioning

confidence: 99%

Demystifying the Role of Natural Language Processing (NLP) in Smart City Applications: Background, Motivation, Recent Advances, and Future Research Directions

Tyagi

Bhushan

2023

Wireless Pers Commun

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Smart cities provide an efficient infrastructure for the enhancement of the quality of life of the people by aiding in fast urbanization and resource management through sustainable and scalable innovative solutions. The penetration of Information and Communication Technology (ICT) in smart cities has been a major contributor to keeping up with the agility and pace of their development. In this paper, we have explored Natural Language Processing (NLP) which is one such technical discipline that has great potential in optimizing ICT processes and has so far been kept away from the limelight. Through this study, we have established the various roles that NLP plays in building smart cities after thoroughly analyzing its architecture, background, and scope. Subsequently, we present a detailed description of NLP's recent applications in the domain of smart healthcare, smart business, and industry, smart community, smart media, smart research, and development as well as smart education accompanied by NLP's open challenges at the very end. This work aims to throw light on the potential of NLP as one of the pillars in assisting the technical advancement and realization of smart cities.

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