IOT based Smart Home with Load Control

Tejaswi, P

doi:10.22214/ijraset.2020.32336

Cited by 2 publications

(2 citation statements)

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“…So this document gives us clear idea of how to change the contents of Digital display using Wi-Fi. So for that we use some Embedded as well as communication idea and using Arduino board we try to implement our system [13].…”

Section: IImentioning

confidence: 99%

IOT E-Circular Notification for Students Using a WIFI-Based LED Advertising Board

Kota

2023

IJRASET

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Scrolling display board is a common sight today. Advertisement is going digital. The use of led scrolling display board at big shops, shopping centers, railway station, bus stands and educational institutes is becoming an effective mode of communication in providing information to the people as notice board. But these off-the-shelf units are somewhat inflexible in terms of updating the message instantly. If the user wants to change the message it needs to be done using a computer and hence the person needs to be present at the location of the display board. It means the message cannot be changed from wherever or whenever. Also the display board cannot be placed anywhere because of complex and delicate wiring. 'GSM based LED Scrolling Display Board' is a model for displaying notices/messages at places that require real-time noticing, by sending messages in the form of SMS through mobile[1-3]. It is a system wherein the display board need not be reprogrammed to display a new message because it is wireless. The project aims to develop a moving sign board which empowers the user to change the scrolling message using application in our mobile phone service instantaneously unlike a desk bound device such as PC or laptop. The user can update it even from a Wi-Fi distant. The system can be edited any time anywhere within the Wi- Fi range[4].

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Section: IImentioning

confidence: 99%

IOT E-Circular Notification for Students Using a WIFI-Based LED Advertising Board

Kota

2023

IJRASET

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“…Nevertheless, this function has made heavy use of contrast or colour enhancement approaches. Improving an image's visibility via increased contrast or colour fidelity is the goal of such procedures [9][10].…”

Section: Introductionmentioning

confidence: 99%

Novel-Fl Operators Based Visibility Processing Techniques of Denoising Algorithm Using Exdark Dataset Simulation

Saikiran,

Kumar

2024

IJRASET

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An inclement dusty weather can significantly reduce the visual quality of captured images and this consequently leads to hamper the observation of meaningful image details. Capturing images in such weather often leads to undesirable artifacts such as poor contrast, deficient colors or color cast. Hence, various methods have been proposed to process such unwanted event and recover vivid results with acceptable colors. These methods vary from simple to complex due to the variation of the used processing concepts. In this article, an innovative technique that utilizes tuned fuzzy intensification operators is introduced to expeditiously process poor quality images captured in an inclement dusty weather. Intensive experiments were carried out to check the processing ability of the proposed technique, wherein the obtained results exhibited its competence in filtering various degraded images. Specifically, it performed well in providing acceptable colors and unveiling fine details for the processed images. This study expanded upon earlier methods of low-light picture enhancement that relied on DCP. After the light reflection direction was initialised, it was refocused using the red channel estimate. Separating the region with strong lighting characteristics from the background darkness zone is another usage of DCP. The next step was to create and assess new anthropogenic light quality by estimating and refining transmission maps. An image free of black areas is also produced by recovering the picture light radiance using the updated transmission map data. The last step in achieving high-quality output images is using the denoising algorithm. Results from the ExDark dataset simulations shown that the proposed strategy achieved better subjective and objective performance than state-of-the-art methods.

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IOT based Smart Home with Load Control

Cited by 2 publications

References 0 publications

IOT E-Circular Notification for Students Using a WIFI-Based LED Advertising Board

IOT E-Circular Notification for Students Using a WIFI-Based LED Advertising Board

Novel-Fl Operators Based Visibility Processing Techniques of Denoising Algorithm Using Exdark Dataset Simulation

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