Volume 10 | Issue 5

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Keywords: Bowlers, Cricket, anthropometry, Physiological variables

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There is no denying that India is equally hard-hit by the pandemic, COVID-19, more in economic than in terms of human toll-comprising deaths, infected and suspected. India had also been witnessing a pre-pandemic slowdown and unprecedented shock. The economic impact of the COVID-19 pandemic in India has been largely disruptive. India was bound to be affected not only because of its domestic slowdown but also because of its international recession. The Central Government of India has announced a variety of measures to tackle from this pandemic from healthcare, food security, tax deadline extensions, sector related incentives and many more. This study describes the impact of this pandemic on various sector and revealed various opportunities for India to arrive on the international stage afresh and assert itself as a global power in its own right.

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COVID-19, Pandemic, Indian Economy, Impacts.

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Using related images in conjunction with an image-based gateway is used for searching the data. It is possible to retrieve the massive of images on the web because many the images are holding without named captions on a variety of websites. It is quite easy for the users to inspect the images in accordance with their requirements. In the sense that a significant number of users are unable to recover the relevant images as a result of their failure to anticipate the appropriate inscription on their images. Based on the quality of the images, it is our responsibility to bring out a self-regulating image caption. First, the details/objects of a picture can distinctly understand, and then it will be represented by a phrase or declaration that is consistent with the grammatical rules that govern the semantic information contained in the image. Because of this, methods for combining computer vision and natural language processing are required in order to join the two distinct types of media together, which is extremely challenging. The paper aims to produce mechanized inscriptions by learning the contents of an image and applying that knowledge. Now, images are clarified only through the intervention of humans, and this proves to be an almost unthinkable task for massive databases. To contribute to a deep neural network, the picture information base is provided. A Convolutional Neural Network (CNN) works like an encoder which is used to generate a caption that extracts the best part or required part from our image, and a Recurrent Neural Network (RNN) works like decoder which is used to translate the extracted highlights from given image in order to obtain a sequential and meaningful description of the image.

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Traffic dataset, Deep Learning, Image captioning, CNN, RNN

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The machine learning-based handwritten digit identification system suggested in this research study is a model that can be used to detect and recognize digits written by a user on an editable canvas widget inside a Graphical User Interface (GUI). This research article describes handwritten digit recognition systems in depth, our strategy to creating one, and analyzes the accuracy of several machine learning methods that may be used to create such systems.

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Handwritten Digit Recognition, GUI, Machine Learning Algorithm, Handwritten Digit Recognition System, Accuracy, Convolutional Neural Network, Support Vector Machine.

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Blockchain is emerging as a technology with multiple benefits in all possible sectors and domains. Supply chain is not exception of it. Trust, integrity, security all this can be introduced in supply chain using blockchain. Trust based traditional supply chain has many disadvantages and difficult to manage all stakeholders. IoT and blockchain together can help industries to establish secure, immutable, transparent supply chains. All stakeholders can track the records and no-one will own the data. Even list of benefits is still growing but implementation rate is quite less. This is because of less understanding of technology and not knowing what difference it will create after implementation. In this paper we will discuss multiple approaches to manage transparency in supply chain. From traditional to blockchain based solutions, how it can impact in sectors like healthcare, agriculture, eCommerce, food-processing. We will check problems in current supply chain and possible solutions using technologies like blockchain and IoT. This article will help people from various sectors to understand how technology can change overall system by keeping functioning same and how it can improve the efficiency.

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Blockchain, Supply-Chain, IoT, Traceability

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Image captioning is the process of generating textual information about an image. Nowadays it is attracting more and more attention, as it is a newly emerged research area. To accomplish the goal of image captioning, semiology information of images needs to be recorded and conveyed in natural languages. Both Natural Language Processing and Computer Vision are used to generate the captions, so it becomes a quite challenging task. Numerous techniques have been proposed to tackle this problem. In this paper, we present a survey on different approaches in image captioning research. Based on the techniques and models adopted, we classify image captioning. In this paper, we first drew attention to methods used earlier, and then we focus our main attention on neural network-based methods and used models, which give state-of-the-art results.

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Image captioning, Attention mechanism, Deep Learning, Encoder-decoder framework, Multi-Task Learning

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India and the world saw its biggest disruption in the financial economy since the financial crisis of 2008 because of Covid 19. The Indian stock exchange is a very important component of the Indian financial system. The purpose of the paper is to study the behaviour of retail investors in India post covid 19. The paper tries to examine the changes and analyze the reasons for this change.

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Retail Investor, Stock market, Foreign Institutional Investors

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Machine learning, heart disease prediction, prediction Model, classification algorithms, cardiovascular disease.

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In this paper, you have been told that what is ultrasonic pulse velocity testing, how many methods are there, how it is done, how crack depth will be calculated and how the test condition is affected with methodology.

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Non-destructive testing , Ultrasonic testing of RCC Structure , Ultrasonic pulse velocity test , Crack depth

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The purpose of this presentation is to demonstrate the impact of social media on customer decision-making. Advertisers have turned to web-based social networking to engage buyers because they have little control over the content, timing, or frequency of online interactions among customers. Social media has revolutionised the way businesses use computers over the last few years online, and as a result, social media marketing has earned its own identity in the business world. There are numerous online social networking platforms that influence customer behaviour. Like Google+, LinkedIn, and YouTube, for example. Nowadays, practically all ages of consumers use social media, including college students, working-class individuals, and even the elderly. In today's world, social media has evolved into a powerful tool that consumers can utilise to make purchasing decisions. Consumers' lives have been altered by technological advancements. Because we live in the twenty-first century, it is quite difficult for consumers to devote time to acquiring a product due to their hectic schedules. Consumers can obtain information not just about firms, but also about the companies, using Social Networking Sites. Even social media is assisting consumers in purchasing products through participation, which means that consumers and other stakeholders such as companies, consumers, society, and businesspeople are players rather than spectators. As a result, consumers have the option to alter their minds before purchasing any product through the internet. This is my take on how social media might impact buyers' buying decisions.

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Consumer, Consumer Behavior, Marketing, Consumer Decision Process, Purchase, Online Sites.

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Sign language is used by deaf and hard of hearing people to share information with their community and others. Electronic recognition of sign language deals from signaling to touch and continues until text to speech production. Touch gestures can be classified as permanent and flexible. Yet vertical touch detection is easier than recognizing dynamic touch but both awareness systems are important in human society. Steps in recognizing sign language are described in this study. Data acquisition, pre-processing and modification of data, feature extraction, segmentation and obtained results are assessed. Other future research guides in the area also suggested.

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Esthetics play an important role in dentistry along with functioning prosthesis. Anterior maxilla is a high esthetic demand region[2]. Achieving esthetics in anterior maxilla is a challenge independent to the type of restoration[1]. Achieving excellence in anterior rehabilitations include knowledge in esthetics and preservation without damaging much tissues. Reconstruction of the soft tissue loss after pathologic resection needs special techniques[2]. Many techniques can be used to restore the lost alveolar hard and soft tissues[1]. Various soft tissue augmentation procedures are available to correct the ridge defects in anterior region[3]. The newer technique , namely Vascularized Inter-positional Periosteal Connective Tissue flap[VIP-CT], having the potential to augment predictable amount of tissue and has many benefits when compared to other techniques[3]. This article discusses in detail the importance of Vascularized Inter-positional Periosteal Connective Tissue flap in oral surgery.

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Vascularized interpositional periosteal connective tissue graft, interpostional bone grafting, subepithelial dissection, esthetic zone

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HPLC, HPTLC, spectrophotometer, Glucosamine Diacerein, Ramipril, Analytical method.

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Comedy of manners, attitudes, manners, aristocratic, love intrigues, morality, satire, humour, ridicule and moral peace and prosperity.

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An easiest, precise, accurate and isocratic RP-HPLC stability-indicating method was developed and validated for determination of Beta caryophyllene. RP-HPLC separation was achieved on Hypersil BDS RP (5?, 250 mm X 4.6 mm) column using mobile phase comported of methanol: water: orthophosphoric acid (98:02:0.1, % v/v) at flow rate of 1 ml/ min. Forced declination studies were performed on bulk sample of Beta caryophyllene using acid (1 N Hydrochloric acid), base (1 N Sodium hydroxide solution), oxidation (3% Hydrogen Peroxide Solution), Dry heat (80?C). Good resolution between the peaks corresponds to declination products. The estimation angles of Beta caryophyllene showed good linearity in the attention range 25-75 ?g/ ml with UV discovery (210 nm). The correlation portions were in the range 0.999. With limit of discovery and quantification 1.976 ug/ml and 5.989 ?g/ml, independently. The system has the needful delicacy, selectivity, perceptivity and perfection to assay declination products performing from the stress studies didn't intrude with assay is therefore stability- indicating.

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Stability indicating method, Beta Caryophyllene (BCP), Recovery studies, stress studies.

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Domestic Violence, COVID-19, Massive, Pandemic, Distrust.

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Technology's goal is to mass-produce items at lower costs and higher quality. Current technologies have achieved a portion of it, but manufacturing technology is on a far larger scale. Manufacturing products at a molecular level is the way of the future. In the 1980s, researchers began investigating this topic. Manufacturing at the atomic and molecular level was ridiculed at the time. However, thanks to the development of nanotechnology, we have come close to realising it. PILL CAMERA, for example, is a cancer, ulcer, and anaemia treatment product. In the sphere of medicine, it has caused a revolution. Manufacturing at the atomic and molecular level was ridiculed at the time. However, thanks to the development of nanotechnology, we have come close to realising it. PILL CAMERA, for example, is a cancer, ulcer, and anaemia treatment product. In the sphere of medicine, it has caused a revolution. This little capsule is safe to pass through our bodies. It captures photos of our intestines and sends them to a computer for analysis. This method can aid in the detection of any digestive system ailment. We've also talked about the disadvantages of the PILL CAMERA and how they can be mitigated by employing a grain-sized motor and a bi-directional wireless telemetry capsule. Apart from that, we looked at how nanotechnology is used to make items.

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PILLCAMERA, Nanotechnology

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Diabetes is an illness caused because of high glucose level in a humanbody. Diabetes should not be ignored if it is untreated then Diabetes may cause some major issues in a person like:heart related problems, kidney problem ,blood pressure,eye damage and it can also affects other organs of human body. Diabetes can be controlled if it is predicted earlier. To achieve this goal this project work wewill do early prediction of Diabetes in a human body or a patient for a higher accuracy through applying, Various Machine Learning Techniques. Machine learning techniques Provide better result for prediction by con-structing models from datasets collected from patients.In this work we wil luse Machine Learning Classification and ensemble techniques on a dataset to predict diabetes. Which are K-Nearest Neighbor (KNN),Logistic Regression (LR), Decision Tree (DT), Support Vector Machine (SVM), Gradient Boosting(GB) and RandomForest(RF). Theaccuracy is different for every model when compared to other models.The Project work gives the accurate or higher accuracy model shows that the model is capable of predicting diabetes effectively.Our Result shows that Random Forest achieved higher accuracy compared to other machine learning techniques.

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Diabetes,Machine,Learning,Prediction,Dataset,Ensemble.

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Abstract: This work is primarily about the improvement of current agricultural practices by using modern technologies for betterment of agriculture and modernization the traditional agriculture system. Internet of Things(IoT) plays a crowning role in smart agriculture. The project will help root level farmers to get into smart irrigation in term of agriculture. Which provide greater service in less cost in irrigation and lowest man power. Smart irrigation is an empirical concept because IoT sensors capable of providing information about their agriculture fields and making irrigation automated by Internet of Things. The feature of this paper includes monitoring temperature, humidity, pH and water level in agricultural field through sensors. The data from sensors are sent to Web server database using wireless transmission. Controlling of all these operations will be through any remote smart device or computer connected to internet and rain condition is also applied to the operations. It will be performed by interfacing sensors, IFTT app, Smart agriculture app, Wi-Fi and raspberry pi.

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Internet of Things, Smart irrigation, Raspberry pi, Smart Agriculture.

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