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Android studio sdk free download11/9/2022 ![]() ![]() Emerging blockchain technology plays a vital role by providing a reliable, secure, and decentralized mechanism for identification and authentication of the IoT devices used in the proposed home automation system. In this paper, we present a novel idea of a smart home that uses a machine learning algorithm (Support Vector Machine) for intelligent decision making and also uses blockchain technology to ensure identification and authentication of the IoT devices. The existing systems are targeting one or two of these issues whereas a smart home automation system that is not only secure but also has intelligent decision making and analytical abilities is the need of time. The key challenges in a smart home are intelligent decision making, secure identification, and authentication of the IoT devices, continuous connectivity, data security, and privacy issues. The idea of a smart home is getting attention for the last few years. It is user friendly for the visually impaired person since the designed system has sound for guideline so they can always get to know the process of the application. Some alert sound is provided to allow the users to know what exactly happened in the mobile application. As a result, a person who has visual impairment can understand the printed material which is not written in Braille through listening instead of touching. Finally, the text will be read out into speech format using text-to-speech conversion in Text to Speech (TTS) framework. The captured image is then converted to text by using image-to-text conversion in Optical Character Recognition (OCR) framework. The mobile application is able to capture the image of printed material with a mobile camera. Thus, this paper proposes an affordable mobile application which is designed for the visually impaired person. Although there is much electronic equipment that can help them to read, the prices are too expensive to afford. ![]() However, there are limitations for these people when the material is not printed in Braille. They usually have to read printed material using Braille. There are approximately 1.3 billion people in the world have visual impairment issue. The SOFS provides a rapid, compact, cost-effective solution for determination of the fruit ethylene concentration dynamic during ripening for better fruit harvest timing and postharvest management to minimize wastage. The linear correlation data showed agreement with data generated from a fluorometer. ![]() The device was applied in detection of ethylene generated from apples, avocados, and bananas. The images are processed with a dedicated smartphone application for RGB analysis and ethylene concentration. Android studio sdk free download portable#The device is portable (18 cm × 8 cm × 6 cm) with an inbuilt power supply and replaceable optical fiber sensor tip. The common gases in the warehouse had no significant interference with the results. Paired with a pyrene-tagged Grubbs catalyst (PYG) probe, our SOFS showed a wide linearity range up to 350 ppm with a detection limit of 0.6 ppm. For rapid and portable detection of ethylene in commercial fruit ripening storage rooms, we designed a smartphone-based optical fiber sensor (SOFS), which is composed of a 15 mW 365 nm laser for fluorescence signal excitation and a bifurcated fiber system for signal flow direction from probe to smartphone. ![]()
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