Volume 10 | Issue 5

 Abstract

Organic food products and other organic ingredients are grown without the use of pesticides, synthetic fertilizers, sewage sludge, or ionizing radiation. Conventional fruits and vegetables are often sprayed with pesticides. When you buy such fruits and vegetables, these stubborn chemicals remain on the food. The second big difference between conventional and organic food is that many conventional foods are genetically modified or contain genetically modified organisms. Organic food is not easily available in the market. There are only some particular shops where organic food is available. E-commerce is a process of doing business through a computer network

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Organic,Health

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 Abstract

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FMCG, Company, financial, performance, ratio

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So in this system it is used to reduce manual labour and improve the accuracy of the work in the restaurant. This system manages and maintains customer records and their online order. This Android app is designed in an easy-to-use way. So that Customer can add and remove food items easily. A different restaurant menu card contains different types of food available in the restaurant. By using the local order menu, the customer can simply click and order food. The message module tells the supplier to provide certain food. And the tracking module tracks the order. The payment system fixes the bill with the food delivered. This program completely reduces unnecessary time. All orders are attached to the individual seat at the table, and orders are made by one customer at a time, as per the paper, but with great accuracy. Items can be easily shared across the table, delivered or organized and marked and costs can be calculated in real time.

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9140683771

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 Abstract

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Chatbot , intents.json,

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Creative Commons Attribution 4.0 and The Open Definition

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Nutrition,Health

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The COVID-19 pandemic has provided us with an opportunity to pave the way for introducing digital learning. Like there are two sides to the same coin, online learning also has many advantages and disadvantages. While online classes did start as there was no other choice, their impact started creeping in gradually. Children had difficulty to focus but various techniques helped in solving that issue. The project aims to provide a comprehensive report on the impact of the COVID-19 pandemic during online education on students and we analyze the observed data in multiple attribute decision-making methodologies in a Pythagorean fuzzy environment.

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Pythagorean Fuzzy Sets, Improved Correlation Coefficients.

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ABSTRACT: Deep learning has advanced to the point that it has surpassed old handmade methodologies and even humans for a variety of jobs in recent years. However, the amount of publicly available data for some tasks, such as the verification of handwritten signatures, is limited, making it difficult to verify the true limits of deep learning. Aside from the absence of publicly available data, evaluating the improvements of novel proposed methodologies is difficult due to the use of various databases and experimental protocols. The study's main contributions are I an in-depth analysis of state-of-the-art deep learning approaches for online signature verification; ii) the presentation and description of the new DeepSignDB online handwritten signature biometric public database; iii) the proposal of a standard experimental protocol and benchmark to be used by the research community to perform a fair comparison of novel approaches with the state-of-the-art and iv) we adopt and analyze Time-Aligned Recurrent Neural Networks (TA-RNNs), a recent deep learning approach for on-line handwritten signature verification. To train more resilient systems against forgeries, this approach combines the promise of Dynamic Time Warping with Recurrent Neural Networks. When considering experienced forging impostors and only one training signature per user, our suggested TA-RNN system beats the current state of the art, attaining outcomes even below 2.0 percent EER.

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Malware signature classification, deep learning

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 Abstract

Any software application development relay on the requirement specification .Once the specification is understood properly it will be easier to design and test the application to release a defect free good quality software. Software design and testing phases are considered as the most critical and important phases which are challenging to software engineers. The design phase which is a stage after the requirement elicitation plays a major role for releasing a good quality software .It also consumes more cost in the Software Application Development . But static testing of design reviews can help in reducing the cost of software design with defect free. Testing mainly helps to minimizing faults and reduces the software cost of implementation. The testing strategies and tools with proper software testing life cycle can yield good quality software. This paper aims provide the details study on the different design techniques, hybrid approach and testing strategies implement good software application.

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Requirement specification, Requirement elicitation, Static testing ,Software design , software testing life cycle, Hybrid approach

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The paper proposes the intelligent semi-automated locomoting vehicle rooted by gesture control technology. Aiming smooth locomotion and caring unit for physically challenged persons who find it arduous to move from a place to another and changing posture of body for their regular routines. As various limb movements are prohibited various posture like wheelchair position, stretcher, standing posture are made possible with flexible construction of locomotor assisted by linear actuators. The locomotor is plotted as transmitter unit which senses the gesture recognition of respectable acknowledged part of the body, produces output signal for receiver unit using accelerometer and RF modules. Where the receiver unit receives input RF signals and processes with microcontroller to actuate the vehicle. Intelligent services like heartbeat monitoring system, obstacle detection, GPS tracking module assist the locomotor with self-monitoring the health of the user.

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Semi-automated vehicle, linear actuators, gesture control, self-monitoring unit.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Rainfall is one the important climatic factor, which varies from year to year. To know the extent of variation in the rainfall pattern in the study area, time series yearly rainfall data were used for a period of 23 years i.e. from 1990 to 2012 and the data were collected from the different rainfall stations in Haveri district. The annual rainfall (mm) and the deviation from the mean were computed and are presented in the Table 4. 1. Increasing and decreasing mean annual rainfall were found in t

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E-commerce websites are becoming extremely prevalent, with a significant volume of individuals embracing this medium. This seems to be due to the enhanced accessibility and simplicity of use that these networks provide when it start shopping for necessities as well as other things from the convenience of your own home. This has enabled many handicapped people and others with accessibility concerns to successfully remain at home and purchase different products that they require. This has resulted in a plethora of e-commerce companies fighting for consumers' focus and attempting to grow their customer base in order to deliver accurate alternatives with simplicity. The integration of speech and gesture-based searching for items on e-commerce platforms is one example of something like this. The paradigm of utilizing Convolution Neural Network for the recognition of the gestures is one of the most difficult approaches that require extensive computations along with the region of interest estimation. The obtained results are indicate better performance of the system through the use of Root mean square Error evaluation.

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Convolutional Neural Network, Voice recognition and Gesture Recognition.

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This semi classical style of singing is referred to as Tappa by the Hindi speaking region, pronounced as Toppa in Bengal and Tappe in Punjabi language. The word Tappa derived from the Punjabi word Tappana meaning bouncing, swinging, jumping and hopping etc. There is no dispute regarding its meaning because people are well acquainted with its leaping, hopping, bouncing and swinging or moving up and down style. In Punjab, songs sung by people while driving their camels or pulling them with jerks on uneven roads are called Tappe. There is sufficient reason to believe that Shori Miyan only improvised zamzama taans in Tappas after borrowing the same from the people carrying goods and chattels on their camels back. When the camel moves, the rider on its back is bound to face jerks and suppleness in his journey and while singing automatically these jerks and unsmooth pushes were naturally evident in their songs which formed an integral part of a Tappa as one of its main characteristics

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Blockchain, SHA

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Since last two years we are fighting with covid 19 pandemic. use of face mask became key equipment to protect people against the covid 19 pandemic. To overcome this problem we are going to use this surgical face mask for making a pavement blocks.

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construction Block using used surgical face mask

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For the noise removal problem of noisy seismic data, an improved noise reduction technique based on feedforward denoising neural network (DnCNN) is proposed. The previous DnCNN, which was designed to minimise noise in seismic data, had an issue with a large network depth, which hampered training efficiency. The revised DnCNN technique was previously introduced for noise reduction in natural data sets, and after modifying the essential parameters, this study extends the algorithm to noise reduction in seismic data. The DUDnCNN algorithm can reduce noise with high efficiency, according to the analysis and comparison of the experimental findings, and the method has certain feasibility and significance for further seismic data noise reduction research.

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Noise removal, deep learning

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The paper presents a methodology for social distancing detection using deep learning to evaluate the distance between people to mitigate the impact of this coronavirus pandemic. The detection tool was developed to alert people to maintain a safe distance with each other by evaluating a video feed. The video frame from the camera was used as input, and the open-source object detection pre-trained model based on the YOLOv3 algorithm was employed for pedestrian detection. Later, the video frame was transformed into a top-down view for distance measurement from the 2D plane. The distance between people can be estimated and any noncompliant pair of people in the display will be indicated with a red frame and red line. The proposed method was validated on a pre-recorded video of pedestrians walking on the street. In addition to the social distancing face mask detector also integrated. The face mask detector model is constructed using CNN and the accuracy of the face mask detector is 90%. The result shows that the proposed method is able to determine the social distancing measures between multiple people in the video. The developed technique can be further developed as a detection tool in real time application.

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Python,OpenCV,YOLOv5, CNN

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Short Message Service (SMS) has become one of the most important ways of communication in today's world, where digitization is ubiquitous. SMS does not require active participation, unlike other chatting-based messaging systems such as Facebook, WhatsApp and others. As we all know, hackers and spammers try to break into mobile computing devices, and SMS support for mobile devices has become vulnerable, as attackers try to break into the system by sending unwanted links into , the attacker can gain remote control of the mobile computing device by clicking those links. So, in order to identify those communications, this work created a system that will detect malicious messages and determine whether they are SPAM or HAM (malicious or not malicious) using deep learning VGG16 algorithm.

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Short Message Service, Spam, Machine Learning, Deep Learning.

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In this paper we outline the inherent strengths of biometrics-based authentication system, to identify the weak links in systems employing biometrics-based authentication also automated biometrics can provide the security advantages of long passwords while retaining the speed and characteristic simplicity of short passwords. Although, for illustration purposes, fingerprint authentication is used throughout, our analysis extends to other biometrics-based methods.

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Biometrics, password, accuracy, fingerprints

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Creative Commons Attribution 4.0 and The Open Definition

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Time Donation, Donation Recurrence, Web application

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Creative Commons Attribution 4.0 and The Open Definition

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Nowadays, the margin of error for football is low, therefore the ultimate aim of the game is to win the match. The performance of the players in the match affects the results of the game. Due to this, it is very important to evaluate the player and know his weaknesses. Manual evaluation tends to generate many errors and take more time. In current research, a statistical model is proposed to predict the stats of the football player based on previous session data by considering various aspects of the game. Through literature reviews, it is observed that machine learning and deep learning algorithms can be used to predict the performance of football players. But which model would be more efficient considering the positions of the player is not considered in any article. The proposed model is designed a separate model as per the position of the player during the game. This can help to predict the player's performance as per their playing position. The current study has successfully implemented various machine learning and deep learning models and provided all comparative analysis of the same. Each position has considered different variables associated with that position. The performance of these models is compared for further clarification.

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DEEP LEARNING, PLAYER PREDICTION

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