Volume 10 | Issue 5

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Drainage Monitoring ,Manhole cover ,Asphyxiating Monitoring ,Cloud System ,Pixel analysis ,Pleural effusion ,Real time system ,Sewage system

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Education, Technology, Science, Firebase, Nodejs, Social Network, Querify, LinkedIn

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Creative Commons Attribution 4.0 and The Open Definition

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Twitter is one of the most widely used social media micro blogging sites. Mining user opinions from social media data is not a straight forward task; it canbe accomplished in different ways. In this work, an open source approach is presented, throughout which, twitter Micro blogs data has been collected, pre- processed analysed and visualized using open source tools to perform text mining and sentiment analysis for analyzing user contributed online reviews. Collectingcustomer task using conventional methods such as surveys.

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Social media have become an emerging phenomenon due to the huge and rapid advances in information technology. People are using social media ondaily basis to communicate their opinions with each other about wide variety of subjects, products and services,

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Recent technological developments in computer systems transfer human life from real to virtual environments. Covid-19 disease has accelerated this process. Cyber criminals' interest has shifted from real to virtual life as well. This is because it is easier to commit a crime in cyberspace rather than in regular life. Malicious software (malware) is unwanted software which is frequently used by cyber criminals to launch cyber-attacks. Malware variants are continuing to evolve by using advanced obfuscation and packing techniques. These concealing techniques make malware detection and classification significantly challenging. Novel methods which are quite different from traditional methods must be used to effectively combat new malware variants. Traditional artificial intelligence (AI), specifically machine learning (ML) algorithms, are no longer effective in detecting all new and complex malware variants. A deep learning (DL) approach, which is quite different from traditional ML algorithms, can be a promising solution to the problem of detecting all variants of malware. In this study, a novel deep-learning-based architecture is proposed which can classify malware variants based on a hybrid model. The main contribution of the study is to propose a new hybrid architecture which integrates two wide-ranging pre-trained network models in an optimized manner. This architecture consists of four main stages, namely: data acquisition, the design of deep neural network architecture, training of the proposed deep neural network architecture, and evaluation of the trained deep neural network. The proposed method was tested on Malimg, Microsoft BIG 2015, and Malevis datasets. The experimental results show that the suggested method can effectively classify malware with high accuracy, which outperforms the state of the art methods in the literature. When the proposed method was tested on the Malimg dataset, 97.78% accuracy was obtained, which outperformed most of the ML-based malware detection methods.

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Malware detection, deep learning

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Creative Commons Attribution 4.0 and The Open Definition

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Visually impaired have limitations in terms of mobility and they have a deficient vision. According to WHO, there are 285 billion visually impaired and 30 million permanently blind people in this world. To help visually impaired Blind sticks support in scanning their environment. For better support, to the subject, the current Blind sticks need technological advancement. Hence, with the accession of a microcontroller, buzzer and ultrasonic sensor, this paper proposes a modification to Blind sticks. In order to know the current location of the user, this model encompasses a GPS and GSM module which transfer the location details to the Kith and Kins of the user. The device is aimed to be a cost-effective and user-friendly model for aiding Visually impaired people which guarantees high-performance reliable navigation and an even better user experience.

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Microcontroller, Ultrasonic sensor, GPS, GSM and Buzzer

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 Abstract

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Waste Plastic, Concrete, Plastic Pieces, Compressive strength

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Creative Commons Attribution 4.0 and The Open Definition

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Extended Marketing Mix, Marketing Strategy, Niche, Physical Evidence, Processes, People, Stereotypic Products

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: The goal of recommendation systems is to predict a user's preference or rating for a particular item. The problem of making personalized recommendations about items or information during a user's visit to a website can be solved by applying knowledge discovery techniques. A collaborative filtering algorithm provides recommendations based on the ratings of other users in the system. Scalability, sparsity, and cold start are issues faced by traditional collaborative filtering algorithms. A combination of item-based collaborative filtering and demographics-based user clusters is used in the proposed framework for predicting user behavior. It is scalable and addresses user cold start.

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Grocery shopping recommendation, Popularity-based performance evaluation.

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Economy contributes the most for the productivity of the agriculture. In agricultural field, the disease in plants is more common and the detection of disease in plants has become more feasible due to the above reason. These days's plant disease detection has acquired enlarging scrutiny in surveilling crops of large and various fields. Farmers undergo significant hassles in chop and changing from one disease administer principle to a different one. We can identify or spotting the tomato leaf diseases for detection for surveillance and monitoring experts is the standard approach for detection. The plants get seriously affected if the proper control hasn't been taken and this represents the quality of the pants the production of the plants will be affected. Detection of disease through some mechanized technique and methodology is efficient and constructive because it decreases an outsized toil of surveilling in the large cultivation. In the premature phase we can detect the symptoms of the plant diseases since their first appearance on their leaves of the plants. By using this paper we can identify the algorithm which is used for image segmentation and for automated classification used for the detection of diseases of leaves in the plants. It also covers distinct disease classification methods of working which is used for the detection of diseases in plants. The application of deep learning in plant disease recognition can avoid the disadvantages caused by artificial selection of disease spot features, make plant disease feature extraction more objective, and improve the research efficiency and technology transformation speed. This review provides the research progress of deep learning technology in the field of crop leaf disease identification in recent years. In this paper, we present the current trends and challenges for the detection of plant leaf disease using deep learning and advanced imaging techniques. We hope that this work will be a valuable resource for researchers who study the detection of plant diseases and insect pests. At the same time, we also discussed some of the current challenges and problems that need to be resolved.

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Plant leaf disease images, deep learning, Machine Learning, SVC, ANN, CNN, Resnet50.

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Creative Commons Attribution 4.0 and The Open Definition

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Key Words: Yogic Practices, Therapeutic Exercises, Antenatal, Perceived stress, Perceived Stress Assessment Scale.

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This is a project run under Google X. Google will store the genome in the cloud for $25, and the storage system could have a major impact on the scientific community. The hope is to collect millions of genomes to aid in scientific research. As MIT Review reports, the system could aid in collecting "cancer genome clouds" that would allow scientists to share information and run virtual experiments. Significant advancements in genomics analysis have been made possible with the emergence of better and more cost-effective tools. For example, cloud-based technologies, such as those offered by Google Cloud Platform (GCP), provide computational resources capable of analyzing massive amounts of genomic information at unprecedented speeds and in many cases, at a lower cost compared with on-premises solutions. Today, the use of cloud-based tools enables analysis across thousands of genomes to identify patterns and markers for disease predisposition, prediction, and causality. This helps improve how healthcare providers understand and treat disease, and creates better-informed treatment plans for patients

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google cloud ,cloud storing, genomics ,human genome

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Roman Settelement in Tamil Nadu, Greeks coins in Tamil Nadu, Roman coins of Tamil Nadu, Foreign Trade in Tamil Nadu, Yavanas, Ancient Coins, History, Sangam Trade, Greek Trade, Egyptian Trade, Literary Evidences for the Yavanas, Romanian trade and currency, Kongu Country and the Palakat Passes,

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Creative Commons Attribution 4.0 and The Open Definition

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Keywords: Bodo, Women & Status, Socio-Culture

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Stress, psychological symptoms, and workload

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Creative Commons Attribution 4.0 and The Open Definition

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MATLAB, XILINX, FPGA

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Creative Commons Attribution 4.0 and The Open Definition

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In this project of Radar vision-based controlling alerts and weapon activation, we are developing a system that could be a great help in enhancing the security of our border regions especially, the areas facing extreme climatic or terrain conditions where human deployment is a major peril. To curb such happenings the least we can do is to constantly monitor across the border and detect intrusions. It takes a lot of manpower to stretch over the border and constantly keep an eye, hence the need of the hour is to build such automated border surveillance which can eliminate manpower. Moreover, if something suspicious is detected by the system, it must be able to perform necessary actions by issuing an alarm alert and weapon activation system.

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24/7 Border surveillance, Automatic intrusion detection, alarm alert, Weapon Activation.

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Pneumonia is a form of acute respiratory infection that affects the lungs. Symptoms include a cough with phlegm or pus, fever, chills and difficulty breathing. Amoxicillin, azithromycin, ciprofloxacin, erythromycin, etc. are the drug that can be used to treat the pneumonia. In this review we have to study Analytical method such as HPLC, UV, LC-MC-MC, Spectrophotometric, HPTLC for this various drug used in Pneumonia. In addition with this the best hospitals and doctors are given in the list format. The main approaches of this review is to explore all the possible analytical methodology for this drug. The review is also helpful to choose better option for analytical method development for this drug. This article introduces a simple, specific, precise and robust HPLC method which has been developed and validated based on FDA guidance and the ICH guidelines Q2A and Q2B to measure the number of drugs in order to assess their release profiles from new floating-sustained release tablet formulations

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Pneumonia, Amoxicillin, Ciprofloxacin, HPLC, UV

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The technologies like virtual reality and artificial intelligence are popular across in gaming industry and as well as game based and web based learning. Game based learning is the latest direction in education because of the consumption of computer and mobile games of younger generation it is the relevant trend in education now. In the simulated environment the user can interact with different 3D objects to learn the real time activities and collaborate artificial intelligence make the learning more suitable. Master Genie is an AI chatbot assisted virtual game. The paper propose a cooking guide a tutor chatbot and a companion called genie to interact with the user and help them to enjoy and learn the cooking and make them believe they experience it in real. A VR game accessories involves VR glass and hand controller. The game develops communication skill and also improves language by providing a conversational ai in it.The paper focus on providing a preliminary knowledge on cooking and kitchen tools through a conversational AI chat-bot and real time experience with virtual reality

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game based learning,3D environment,artificial intelligence

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Gesture recognition is a topic in computer science and language technology with the goal of using mathematical algorithms to analyze human gestures. Gestures can come from any physical move or state; however, they are most typically made with the hands or the face. Emotion identification from the face and hand gesture recognition are two of the field's current hot topics. Cameras and computer vision algorithms have been used in a variety of ways to read sign language. Gesture recognition techniques, on the other hand, are used to identify and recognize posture, gait, proxemics, and human behaviors. Gesture recognition can be seen of as a means for computers to begin to grasp human body language, creating a richer bridge between machines and humans than simple text user interfaces or even graphical user interfaces (graphical user interfaces). Gesture recognition technology aims to develop a system that can recognize certain human movements and utilize them to convey information or control devices. Gestures of the human body, especially hand movements, are used to interact with computers. A camera analyses the movements of the human body and sends the information to a computer, which then uses the gestures as input to operate objects or apps.

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Hand Postures, Hand Gestures, Human Computer Interaction (HCI), Segmentation, Feature Extraction, Classification Tools, Neural Networks.

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Creative Commons Attribution 4.0 and The Open Definition

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Precast & Modular Construction Engineering

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Creative Commons Attribution 4.0 and The Open Definition