Volume 10 | Issue 7

 Abstract

Abstract: An evergreen shrub belonging to the family Annonaceae is Annona squamosa Linn .These plants have anti cancerous activity, used as antioxidants and medicinal importance, which widely used in preparation of antihead like medicines. These plants also show the antimicrobial, larvicidal and insecticidal activity. In present study, we focused on A.squamosa stem bark phytochemical and the insecticidal activity of extract against the different types of ants. In that insect mortality was checked by two different methods. The insecticidal activity ratio of A.squamosa shows the range between 80-94% .Therefore, it can be concluded that the aqueous and ethanolic extract of Annona squamosa Linn against different ant species has the efficiency towards the use in insecticide.

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 Keywords

Index Term: Annona squamosa, Phytochemical, Insecticidal activity

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The current study was conducted to find out the perception of University students on online teaching learning amidst Covid-19 pandemic. The sample of the study constituted 300 students from Kurukshetra University, Kurukshetra from Humanities and Sciences departments. Self - developed questionnaire with 3 dimensions- Effectiveness, Barriers and Sustainability was used to collect data through google form and analysed using percentage, mean and t test. The result of the study reveal that here is no significant difference in the perception based on the dimensions among the University students from Science and Humanities departments on Online teaching learning amidst Covid-19 pandemic.

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 Keywords

Online teaching learning, Covid-19, Pandemic, Perception, University Students

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It is a well-known fact that the visualization of architectural design in 3D view is very necessary to enhance the execution and deployment rather to educate people. The Internet of Things (IoT) has been beneficial to visualize the things. Aside from traditional information collection from construction field using electronic devices such as telephone, mobile an internet based IoT technology with processed and refined data transfer enhances the system performance. IoT can improve things that contribute to a better decision making on time and also predicting the problems arises in advance. The working environment for architectural design and building construction because of IoT and AI is more realistic in nature also provides security through the use of smart cameras, and climate control is accomplished through the use of smart architectural design software. Smart rendering systems at large effective in providing more energy-efficient visualization. IoT on site means a live connection and a more collaborative future for taking decisions and managing the problems. IoT devices facilitates and made impact on every aspect of construction field and gives better access from remote places through communication channels

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IoT, Architectural design, BMI, Ecosystem, Green Building

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 Abstract

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Ayurveda, Ananta vata, Trigeminal neuralgia, Raktamokshana

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In the past few months Bluetooth technology is increasing dramatically with improving of Bluetooth phones and other electronics items in our daily life. To meet current requirements of several needs the technology is already increased with help of remotecontrolled robotic cars via Bluetooth. So here open-source hardware is used to designed and also developed a robotic controlled car with the help of simple architecture. To move a certain direction of our proposed design pre-installed command is used. In this paper android application running on a Smartphone has been developed with the help of user. This proposed design helps to control the motion of the car remotely with the help of Bluetooth kept feasible manner. Arduino act as main part of the device which is controlled with the help of our Smartphone via Bluetooth. So here Bluetooth act as a main communicator between several controllers and our Smartphone using protocols.

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Bluetooth Module, Bluetooth controlled Robot Car, Arduino, Android Phone, Robot.

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Sufficient cover is required for the reinforcement in concrete structures for protection against corrosion. Though several codes of practices have specified minimum cover for various climatic conditions, it is often not maintained in practice. In this paper, the authors contend that the Indian Codal provisions relating to concrete cover have to be revised as they do not account for many factors related to minimum concrete cover. Also, some devices and methods to increase the quality of cover are discussed. The authors also stress that just an increase in concrete cover does not ensure durable structure.

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Concrete Cover Blocks

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Machine knowledge, fake, reviews, Logistic Regression

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In recent years, deep learning has drawn the attention of scholars. Convolutional Neural Networks (CNN) are a deep learning technique that are frequently employed for resolving challenging issues. It gets around the restrictions of conventional machine learning techniques. This study was undertaken with the goal of educating readers on numerous CNN-related topics. In addition to describing CNN's three most used topologies and learning methods, this article also provides a conceptual explanation of the network. This study will encourage scholars to pursue this area of research by giving them a thorough understanding of CNN. For individuals who are interested in this subject, this study will serve as a resource and quick reference.

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convolution neural network

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Comedy of Manners, morals, licentious, witty

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Postcolonial literature, Colonialism, Diaspora, Discrimination, Ruth Prawer Jhabvala

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Scene boundary detection is crucial in applications like scene segmentation and video skimming, but the presence of ad clips makes it difficult. There are some existing methods based on visual, audio-visual and audio-only features. The existing audio-only feature-based method depends on short silences between program and ad or between ads. Still, short silences can also be present inside the program, affecting performance. So we proposed a detection method for ad shots using MFCC features. MFCC is a basic speech feature based on short-term spectral. We used the average of MFCC for a shot and determined the threshold for detection purposes. We used four episodes of The Big Bang Theory as our dataset. Our method is the first method that uses MFCC features for ad detection and explores the relation between video contents and MFCC features.

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Advertisement detection, Mel frequency ceptral coefficient, Static Threshold, Dynamic Threshold.

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Immersive technology is a fast-growing, fascinating, and groundbreaking domain that interests the majority of people. Concisely, immersive technologies widen reality to a greater extent. VR transports the user into a totally different virtual simulator environment. This innovative and fascinating technology is growing at a very fast pace giving hopes for a more digitalized future.Virtual Reality creates a simulator environment, by wearing a headset, so the user can experience an entirely different reality. Augmented Reality is the laying of digital elements into the real physical world. Mixed Reality merges real and virtual environments to produce new visualizations and experiences in real-time. Our major concern is Augmented Reality AR.

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Immersive technology, Augmented Reality, Virtual Reality, Digital elements, Gyroscope, Mixed Reality, Real and Virtual world, Simulator environment.

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 Abstract

Pb1-xZnxS (x=0 to 0.4 in steps of 0.1) ternary semiconductor compounds were synthesized by co-precipitation technique. XRD studies revealed that the compounds are polycrystalline in nature with cubic structure. Variation in density and porosity percentage, dislocation density, lattice strain and average grain size of all samples, with respect to change in Zinc concentration, were calculated.

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Pb1-xZnxS semiconductor; co-precipitation technique; XRD; Grain size; Density

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Tomatoes contain a lot of water, making them more prone to deterioration due to the action of numerous microbes. This makes storage and shipping difficult for this vegetable. Tomatoes are a common vegetable that is eaten fresh in salads, garnished on other foods, and cooked to provide flavours to a variety of dishes. As a result, it is a common food component in both Asian and European countries. Furthermore, tomatoes are high in vitamins, particularly vitamin A, as it contains the precursor -carotene, which is critical for vision. It is also a good supplier of minerals, making it an important food component. Bacteria, the fungus was shown to be the source of spoiling in the majority of the samples. This review paper aims to study various microorganism which are involved in spoilage of tomatoes. This can help in creative different majors for preventing spoilage of tomato. Also, these fungi are the source of highly potent mycotoxins, which can cause serious food poisoning and even death review, the results can be dangerous. We have made an effort to list all of the tomato-related causes that have been researched in this review.

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Spoilage, Tomato fruit, Fungal deterioration, Bacterial spoilage, good agricultural practises (GAP)

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An app, which is short for "application," is a type of software that can be installed and run on a computer, tablet, smartphone or other electronic devices. A mobile application is a computer program or software application designed to run on a mobile device such as a phone, tablet, or watch. Mobile apps allow users to have easy, smooth, functional access to information, products, services and processes that they need in real-time and are optimized for hands on interaction. The messaging apps are used for interacting purposes with others. Chat based applications will provide a way for easy communication through chatting, voice calls, etc. DMgram is a messaging application designed to provide users with features such as one-to- one chat, group chat, camera, scheduling of messages, hiding "online" status and mainly with a alert system. Alert system is being designed where the primary purpose is to alert the guardians or parents when their child uses certain words such as drugs, elope, etc. One-to- one chat is enabled to increase the interaction between two users and also make sure that a single person is connected and is interactive with a group of people through group-chat feature. Other features such as camera option is provided in order to send photos and videos to their contacts on DMgram, scheduling of messages is enabled using which a message can be scheduled and is delivered to the specified contact and hiding the "online" status where the person can enable the and disable the visibility of their online status whenever wanted.

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Chat, Scheduling messages, Hiding online, Alert system.

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Intervention Mapping, Speeding, Fatalities, Safe System, Cameroon.

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Deep learning (DL) has proven beneficial in medical imaging, and several research have begun to study DL-based solutions for the aided detection of lung disorders in the aftermath of the recent COVID19 epidemic. While previous research has focused on Chest Computed Tomography (CT) scans, this study investigates the use of Deep learning approaches to analyse lung ultrasonography (LUS) data. Which provide a new completely annotated dataset of lung ultrasonography images are gathered from multiple hospitals and some web resources, with reflecting labels shows the severity of illness at the frame and pixel levels. At frame levels, deep networks having Spatial Transformational Network (STN) are introduced to analyse the severity of disease automatically in lung ultrasonography images. In this proposed system, a deep network named Convolutional Neural Networks (CNN) based transfer learning is used and developed from Spatial Transformer Networks (STN) that which predicts the disease from the given image. Once after the disease prediction, U-Net Will applied for the segmentation of the predicted disease part from the given image.

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Convolution neural network, U-Net, Spatial transfer networks

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With the increase in the number of complex high rise buildings, ensuring safety is a primary requisite. In the event of an emergency such as an earthquake or a fire, the protocol followed is exiting the building as soon as possible. But in such modern day complex buildings, evacuation becomes slightly more complicated as they have multiple levels, limited exits and house larger number of people. This calls for a system that evacuates people efficiently. The Emergency Evacuation System (EES) based on Internet of Things (IoTs) aims to achieve an effective evacuation process that ensures safety and minimum casualties using sensors for early detection and monitoring, an alarm for warning about the casualty and application for evacuee guidance and easy navigation. In the occurrence of an emergency, the EES detects it, alerts the civilians in the building and provides guidance through an application. Keywords-Emergency, Evacuation, Internet of Things, Guidance Routing, Fire, Earthquake

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 Keywords

IOT, Microcontroller, LCD, Emergency Evacuation System (EES)

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In recent years, wireless technology is in demand. The researchers are doing research in designing technology-based, multiple application-oriented, efficient, and cost-effective RF structures. Incorporating all requirements of existing industries, various wireless applications-oriented, negative refractive index-based antenna structure is designed and analysed in this paper. The claimed antenna resonates at 3.10GHz and 4.33 GHz frequencies. The output parameters show very good potential for mobile communication applications.

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Negative refractive index, wireless communications, Split ring resonator

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