Volume 11 | Issue 5 |

 Abstract

IOT and raspberry pi-based greenhouse monitoring system in the presence of three sensors is used to detect temperature, light, humidity and soil moisture in the greenhouse. The greenhouse effect is a natural phenomenon and beneficial to human beings. Numerous farmers fail to get good profits from the greenhouse crops for the reason that they can't manage two essential factors, which determines plant growth as well as productivity. Greenhouse temperature should not go below a certain degree, high humidity can result to crop transpiration, condensation of water vapor on various greenhouse surfaces, and water evaporation from the humid soil. To overcome such challenges, this greenhouse monitoring system involves the rescue. This project demonstrates the design and implementation of various sensors for the greenhouse environment monitoring and controlling. This greenhouse control system is powered by Raspberry pi it consists of temperature sensor, light sensor, soil moisture sensor,LCD display module, 12V DC fan, Bulb, and pump.

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 Keywords

Green house

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Creative Commons Attribution 4.0 and The Open Definition

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The main aim of the paper is to design and develop a Sliding mode Controller which can control the speed of Permanent Magnet DC motor drive for EV Applications which represents a novel approach for controlling the speed of a Permanent Magnet DC motor, which is a critical component of an Electric Vehicle (EV). The proposed technique is based on Sliding Mode Control (SMC) and is capable of controlling the speed of the motor accurately and efficiently. The paper begins by providing an overview of the requirements for an EV motor drive system and the existing control methods. It then explains the SMC technique and its advantages over other control methods. Overall, the paper presents a significant contribution to the field of EV motor drive systems, and the proposed SMC-based speed control system has the potential to improve the performance and efficiency of EVs.

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 Keywords

Permanent Magnet, DC Motor, Sliding Mode Controller, SMC, Electric Vehicle

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High blood pressure is a leading chronic disease and has become the main factor for many high-risk diseases such as diabetes, heart attack and cancer. At present there are more than hundred million hyper tension but only 44% of them have been diagnosed, we are going to design a blood pressure measurement system that is completely wireless and uses blood pressure sensors to collect the data of the patient and transfers the information via Bluetooth to a monitor where in the blood pressure of the patient along with the patient details are displayed by this process, blood pressure of the patient can be monitored continuously. The overall procedure can be done within a minute or not more than two minutes. Smart- phones are ubiquitous, so a blood pressure device comprising only the smart-phone can make diagnosis commonly available without the need to procure access to a special blood pressure device. This project reviews recent advances in blood-pressure measurements, specifically with focus on those implemented for smart-phones using Bluetooth.

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 Keywords

Blood pressure sensors, Oscillometric, Smart-phones and Bluetooth

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 Abstract

This art work focuses on a multi-port model predictive controller grounded completely non-isolated (Binary enter and single output) DC/ DC power digital interface grounded on Z- Quasi Resonant (ZQR) community. The motor includes grid and photovoltaic panel (PV) as its input means. Unlike the primary DC/ DC converter, the supported DC/ DC motor calls for smaller switches and gives nonstop slice- edge- day, high benefit in voltage, and minimum voltage stress on motor transfer as lots as 40 obligation cycle thanks to the presence of ZQR community. This specific of the motor makes it to and its software program in electric powered auto (EV) off- board charging wherein inordinate voltage benefit is demanded. In the proposed multi-port ZQR motor, fresh input and affair anchorages could be added without compromising the motor's benefit and overall performance. The evolved motor can characteristic constantly despite the fact that someone of the input things fails to rate the EV. The proposed motor is mathematically modeled the operation of abecedarian felonious pointers that govern the motor average overall performance and anatomized in MATLAB/ Simulink platform underneath colorful operating modes.

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ZQR community, DC/ DC converters, MPC and LED lighting.

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 Abstract

New energy vehicles play a positive role in reducing carbon emissions. To improve the dynamic performance and durability of vehicle powertrain, the hybrid energy storage system of "fuel cell/power battery" is more used in new energy vehicles. Bidirectional DC-DC converters with wide voltage conversion range are essential for voltage matching and power decoupling between battery and vehicle bus, helping to improve the low input voltage characteristics of super capacitors and realize the recovery of feedback energy. In recent years, the topologies of bidirectional converters have been widely investigated and optimized. Aiming to obtain bidirectional DC-DC converters with wide voltage conversion range suitable for hybrid energy storage system, a review of the research status of non-isolated converters based on impedance networks and isolated converters based on transformer are presented. Additionally, an evaluation system for bidirectional DC-DC topologies for hybrid energy storage system is constructed, providing a reference for designing bidirectional DC-DC converters. The performance of eight typical non-isolated converters and seven typical isolated converters are comprehensively evaluated by using this evaluation system. On this basis, issues about DC-DC converters for hybrid energy storage system are discussed, and some suggestions for the future research directions of DC-DC converters are proposed.

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 Keywords

Bidirectional dc/dc converter, main ener energy storage, an auxiliary energy storage, MATLAB/Simulink

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Smart Breath Analyzers were developed as sensing terminals of a telemedicine architecture devoted to remote monitoring of patients suffering from Asthma, Chronic Obstructive Pulmonary Disease (COPD) and home-assisted by non-invasive mechanical ventilation via respiratory face mask. The devices based on different sensors (Gas, Smoke Sensor and Volatile Organic Compounds (VOCs), relative humidity and temperature (R.H. & T) and Heart rate, respiration sensors) monitor the breath air exhaled. The system uses multiple sensors, including a heart rate sensor, temperature sensor, respiration sensor, gas sensor, sound sensor, humidity sensor, and smoke sensor, to collect real-time data on the user's respiratory health status. This data is then transmitted to an IoT cloud server, such as the Cayenne cloud server, for remote monitoring and management. The sensor raw signals are transmitted to National Health Service units / Doctor by TCP/IP communication through a cloud remote platform using IoT module. The work is a proof-of-concept of a sensors-based IoT system with the perspective to check continuously the effectiveness of monitoring and/or any state of exacerbation of the disease requiring healthcare. By a gas-mixing bench towards gas, smoke in environment and acetone concentrations in exhaled breath collected in a sampling bag were carried out to test the realized prototypes. This system uses analyze the data and detect early warning signs of Asthma and COPD attacks before they occur.

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 Keywords

COPD, Spirometry, lung inflammation and capnography.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A mic preamp is a type of amplifier with the purpose of bringing mic level signals up to line level for use with professional equipment. Microphones output mic level signals and need preamps if they are to be used with mixing consoles, recording devices or digital audio workstations. There's a lot to know about microphone preamplifiers and their role with microphones. In this article, we'll discuss mic preamps in great detail to better your understanding of these largely necessary audio devices. A microphone preamplifier is an active electronic device designed primarily to supply gain to a mic signal and output the signal at line level. Mic level is the typically nominal level outputted by microphones. It ranges greatly between -60 dBV and -20 dBV. Line level is the professional standard for recording/mixing audio with a nominal level of +4dBu (1.78 dBV). A microphone preamplifier is designed to take a microphone signal at its input; apply an appropriate amount of gain (typically adjustable), and output a line-level signal. With the levels mentioned above, a good microphone preamplifier should be able to apply at least 60 dB of gain to bring low-level mic signals (typically from dynamic or ribbon mics) up to line level. Ribbon microphones, which notoriously output very low-level signals, sometimes require their own specialty preamplifiers. These preamps are able to provide a great amount of clean gain so that the ribbon mics can be used effectively.

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Noise contribution, Dynamic and Ribbon mics, low-level signals and Microphone

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Creative Commons Attribution 4.0 and The Open Definition

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Today, exploiting sentiment analysis has become popular in designing recommender systems in various fields, including the restaurant and food area. The analysis of users' opinions and the extraction of their food preferences lead to the provision of personalized recommendations. The semantic approach is used to cluster the name of foods extracted from users' comments and analyze their sentiments about them. Finally, nearby open restaurants are recommended based on their similarity to user preferences. Restaurant Recommendation System is an online system to search for restaurants. The system allows visitors to browse information about the restaurants, including searching for restaurants, viewing/giving recommendations, and viewing/rating restaurants. Visitors can only view recommendations and view rating results. If the user would like to give recommendations or rate restaurants, he or she has to login or sign up. Additionally, the user can check the history of previous recommendations. In addition to customer functions, the system also provides functions to the administrator that allows to manage the contents of the site, including editing customer info, restaurants, recommendations and ratings, etc.

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Machine Learning, Recommendation system, Clustering, Sentiment Analysis.

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Creative Commons Attribution 4.0 and The Open Definition

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Peeple leaves are used as medicinal plants. They are used as traditionally from ancient times in various herbal medicines such Ayurveda, siddha, and homeopathic. Peeple leaves contain flavonoids, alkaloids, and other chemical constituents which are used for various medicinal uses. The peeple plant leaves are used for heart attack treatment, menstrual cycle treatment, and reducing the level of cholesterol. Secondary metabolites present in plants have multiple roles to be treated as therapeutic. The present research emphasizes on traditional uses and clinical potential of peeple leaves is a large evergreen tree found throughout the world as the wild plant or cultivated .It has great mythological, religious, medical importance and considered as the oldest tree in Indian history.

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Peeple leaves, Kadha or Decoction, Reduce Cholesterol levels, Method and material, Pharmacological activity.

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Ayurved as Adravya Chikitsa, where no internal medicine as such is used to treat a disease but presence of some kind of things given or in simple way only Shita dhara or Shit parishek are used. This type of chikitsa can called in Ayurveda as adarvya chikitsa. There are two types of Chikitsa in Ayurveda such as Shita & Ushna. So in the treatment of disorders, both shit and ushna therapy plays a very important role. Shit treatment is essential in various disorders as a emergency treatment. So shita chikitsa plays as important role in chikitsa.

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Creative Commons Attribution 4.0 and The Open Definition

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Shita Chikitsa

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Creative Commons Attribution 4.0 and The Open Definition