Volume 9 | Issue 10 |

 Abstract

The COVID-19 pandemic has spread throughout the world and changed all facets of our everyday lives dramatically The conventional method of keeping people at a safe distance in the Covid-19 Standard Operating System could not ensure everyone obeys the rule. An automatic social distancing system needs to be created to assist and train individuals to stay at a safe distance of at least 1 m. This paper proposes a wearable social distancing detector that uses a microcontroller with an ultrasonic sensor to detect the distance between two persons and provides a warning if the person fails to obey the rule. The system could perform social distancing detection accurately and can assist in theArduino UNO.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Covid-19 , Ultrasonic Sensor ,Arduino UNO

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Covid-19 is the global pandemic that is adversely affecting the human life in this scenario. World is running for the overcoming this pandemic and for finding better treatments for it. Detecting this disease is major task for medical practitioners now a days. In this study we are focusing on preprocessing stages of multimodal imaging datas, mainly x-rays for the detection of this disease. And this preprocessed images are very helpful for using it in transfer learning methods to detect covid-19. We propose this preprocessing stage for creating an image dataset, which is trustworthy for developing and testing deep learning models for the detection of this disease. Unwanted noise in the images is removed in this stage so that detection can be made using specific features from them. As well as x-ray ,other two multimodal image datasets can be used to preprocess.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Covid-19 detection, Image preprocessing, Multimodal imaging data

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Clean water is vital to our health, communities, and economy. People depend on clean water for their health. Our communities are impacted by water contamination. The macroscopic waste present in the water bodies is currently creating a high mode of threat to the use of this water for the people living in the corresponding areas. Abundant dumping of waste in to the water could affect the aquatic life in a threatening way. Presently there are a few methods existing for the purification of aquatic environment. But most of it is limited to micro-purification, chlorination and oxygenation of the water life. Most of the methods used to remove macroscopic waste are manual or machines which are manually operated. This method put forward a fully automated system to monitor and remove all the waste from the water bodies. A robot is designed to sense the waste using ultrasonic sensors and programmed to remove the macroscopic waste present in water.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

HC-sr 04 Ultrasonic ranging module, Gear motor, Arduino UNO, Robotic arm.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Leaf Disease Detection Using Deep Convolutional Neural Networks Review and New Approach by VGG19.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Identification and treatment of chronic wounds (CWs) are considered economic and social challenges, especially with respect to bedridden and elderly persons. CWs do not follow a predictive course of healing within a particular period. Their treatment and management costs are very high. Also,CWs decrease quality of life for patients, which cause severe pain and discomfort. The process of chronic wound healing is very complex and time consuming. Quantification of wound size plays a vital role for clinical wound treatment as the physical dimension of a wound is an important clue for wound assessment. The current techniques for wound area measurement are the ruler method and tracing which is mainly based on visual inspection, thus are not very accurate as well as time- consuming.. A computerized wound measurement system can provide a more accurate measurement, reduce bias and errors due to fatigue and can potentially reduce clinical workload .Here a efficient method for wound area segmentation based on ANN with color and texture Feature . The framework was trained and tested using 358 RGB images from Medetec wound database .Here we also proposed a simple but efficient method for wound area segmentation The satisfactory results obtained by this system make it a promising tool to assist in the field of clinical wound evaluation and suggest treatment .

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

ANN,ColorFeature,ChronicWound.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

COVID-19, SARS-CoV2, Blockchain, Artificial Intelligence, WHO

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

As the demand in Machine Learning and AI keeps growing, new technologies will keep coming in the market which will impact our day-to-day activities, and one such technology is Virtual Assistant Bots or simply Chatbots. Chatbots have evolved from being Menu/Button based, to Keywords based and now Contextual based. The most advanced among all of the above is contextual based because it uses Machine Learning and Artificial Intelligence techniques to store and process the training models which help the chatbot to give better and appropriate response when user asks domain specific questions to the bot. The idea is to create a medical chatbot that can diagnose the disease and provide basic details about the disease before consulting a doctor. This will help to reduce healthcare costs and improve accessibility to medical knowledge through medical chatbot. The chatbots are computer programs that use natural language to interact with users. Our project focuses on providing the users immediate and accurate prediction of the diseases based on their symptoms. For the prediction of diseases, we have used Decision tree algorithm. Chatbots can play a major role in reshaping the healthcare industry by providing predictive diagnosis.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Disease Prediction, Decision Tree Algorithm, Chatbot.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Dependable individuals checking and human recognition is a significant issue in visual observation. Lately, the field has seen many advances, however, the arrangements have a few limitations: individuals should be moving, the foundation should be straightforward, and the picture goal should be high. We expect to foster a powerful strategy assessing the number of individuals and find each individual in a picture with confounded scenes. The primary focal point of this work is to discover intends to successfully manage the previously mentioned continuous issue utilizing the YOLO calculation to recognize the individual people in a video outline. The dataset is thus used to investigate the individual people and the tally of individual people is shown in the versatile application. Creating to make a productive framework to keep away from the surge in establishments, associations, and surprisingly open spots will help individuals better using time productively.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Object Detection, YOLO, Firebase.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

An own house is a dream of many people. But when it comes to planning and construction of a house or building the challenges and troubles that we need to encounter are many. Which includes lack of trustworthy contractors, unavailability of laborers, unavailability of affordable and experienced architects or engineers, etc. If the owner is abroad or out of state the problem even worsens. Most of the people abroad normally assigned a contractor for the whole construction. But whether the contractors are trustworthy or not, we don't know! Many contractors quote very high and compromise the quality of raw materials. The construction of a home is a complex process. And that is where this application has come into the picture. This application includes everything for the construction of a building. From planning to flooring and painting, everything for the construction and accomplishment of a building is included. The customer can handle everything online. If the customer is abroad or out of state they can take part in each step of the construction like the selection of workers, engineers, materials online. Through this app, we aim to provide trustworthy, affordable, and hardworking employees and also help us to build our home without any complexities and delays. Customers can find all kinds of laborers that are needed for construction in this application. Any individual with some funds and this application can build their home without any complexities and with comfort.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Android App, Home Construction.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Poultry production in our state is still at meager development as proper updated information regarding the existing farms, feed availability and stock is not available properly. A need for a system that monitors these requirements and aids both farmers and customers in carrying out proper trading arises. Hence, we propose an application for the same based on blockchain technology which shall ensure data transparency and provenance tracking by ensuring legibility of data and keeping up proper updated information. The function of this application is mainly aimed to encourage the poultry famers of Kerala and fulfill their basic needs. Through this system the farmers will get to know about availability of feeds and ensure the quantity of the same. We also intend to provide the information about the total number of poultry farms or chicken centers and poultry feeding shops in Kerala along with details of each farm like the number of stocks to produce meats or eggs for food; the location of these farms and shops aiding in faster purchasing; the price of meat, eggs and feeds ensuring that price is not overruled by any one producer. Users shall rate the quality of shops as feedback to help identify quality shops and shall also promote good service. The availability of stock of feed/products can be monitored timely so as to cope with sudden unavailability or any adverse situation. Moreover, by checking these data the government can verify whether the farmers as well as their services are in a state of emergence or not. Thus, they can identify issues and bring about solutions to overcome the current scenario. Gradually, we can increase the number of farms in Kerala. Using blockchain, a distributed ledger for handling data rather than centralized methods will help in having a secure and tamper proof way of maintenance. The chance of overriding data and deleting or modifying data to create redundant or wrong information can be avoided by this.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Blockchain, Ethereum, Smart-Contract.

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Creative Commons Attribution 4.0 and The Open Definition