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Human Action Recognition (HAR) has been a challenging problem yet it needs to be solved. Recently the detection and recognition of human action has broad range of applications and is popularized in the field of computer vision. It mainly focuses on to understand human behaviour and name a label to each action. There are many approaches for action recognizing from both image and video based actions. Now it is time to review these existing approaches in order to help for future research. The main aim of this work is to study the various action recognition techniques in videos and images. The paper presents a brief overview of features of human actions by categorizing as still image-based and video-based. All related datasets are also introduced in this paper, which will be helpful for future research.

Gandhak has been used as a potent medicine in Ayurvedic system of treatment for various kinds of skin manifestations of different as well as bacterial origin. Gandhak can be used internally or/and tropically in different dosage form. Various methods of Gandhak Taila preparation are described in a Rasatarangini. Purified Gandhak has fungicidal, bactericidal, anti-parasitic effect and mainly used in various skin diseases like dermatitis, psoriasis, eczema, internally-arthritis, chronic cough.

Voting is a citizen's most fundamental right and one of his or her most significant obligations. The votes we cast determine the country's destiny, and we must vote honestly and without succumbing to any pressure, since, as the saying goes, "with power comes tremendous responsibility." We must guarantee that our votes are not tampered with after they have been cast. As a result, the existing voting method (EVM) is simple to manipulate, i.e., there is a lot of human interaction, which might jeo pardise election outcomes. As a result, in this project, we will attempt to address this vulnerability by implementing a two-step verification system that will help avoid the middle man attack, namely, only when the voter is physically present can the voter's fingerprint be registered, and only then will the OTP be sent to the user's mobile number.

Phishing is a common method of tricking people int disclosing their entire personal information by using fake websites. Phishing records process tool URLs are used to steal personal information such as customer names, passwords, and online banking activities. Phishers (assailants) employ websites with rectangular diplomas that are visually and semantically similar to the real ones. As the century progressed, phishing strategies advanced swiftly, and this might be avoided by employing anti-phishing technologies to detect phishing. A strong gadget that is frequently utilized in the direction of phishing attacks is machine planning to apprehend. The capabilities used for detection and detection strategies by using Machine Learning have also been investigated in the suggested system.

In Western countries, speech-recognition applications are accepted. In East Asia, it isn't as common. The complexity of the language might be one of the main reasons for this latency. Furthermore, multilingual nations such as India must be considered in order to achieve language recognition (words and phrases) utilizing speech signals. In the last decade, experts have been clamoring for more study on speech. In the initial part of the pre-processing step, a pitch and audio feature extraction technique were used, followed by a deep learning classification method, to properly identify the spoken language. Various feature extraction approaches will be discussed in this review, along with their advantages and disadvantages. Purpose of this research is to Learn transfer learning approaches like Alexnet, VGGNet, and ResNet & CNN etc. using CNN model we got best accuracy for Language Recognition.

Social distancing is of key importance during the current pandemic. It helps limit the spread of covid by observing distance between disease spreading individuals. Now it is not possible to station a person 24×7 at each queue to monitor social distancing violations. Banks, Public Offices, Malls, Schools, Theatres etc. usually see long queues for hours every day. To ensure social distancing in queues we hereby design a social distancing monitoring robot.

Concrete is one of the most widely recognized development material for the most part delivered by utilizing locally accessible ingredients. The present trend in concrete technology is towards increasing the strength and durability of concrete to meet the demands of the modern construction. Enhance the physical and mechanical properties of concrete are a prospective area of research because concrete has a lot to offer as a construction material as it can be used to generate modern new-build properties. Fiber reinforced concrete is one among those advancements which offers economical, practical and convenient method for overcoming the deficiency of concrete such as micro cracks, low tensile strength and similar type of deficiencies. Since the concrete is weak in tension, fiber helps to overcome this deficiency utilizing the waste material in concrete. The addition of fibers into concrete can dramatically increase the strength of concrete. This research aims to check the effect of glass fiber & jute fiber on the fresh, physical and mechanical properties of concrete.

Land registration is an important document in determining the title of a property. Land registration refers to the process of registration of the document, changes in ownership and other transactions related to the property. Land Registration creates a clear record of ownership which clearly sets out any matters that affect the property, such as rights of way and restrictive covenants. Registration provides greater protection against claims for 'Adverse Possession ‘. Land Registry provides property owners with a land title guaranteed by the government, as well as with a title plan that indicates the property boundaries. Once property is entered into the register, the Land Registry records any ownership changes, mortgages or leases affecting it.

Background: Parasitic infections are one of the leading causes of morbidity and mortality worldwide. Cytological examination can be of great help in providing economical, accurate, and fast diagnosis. Aims and Objectives: The aim of the study was to analyze the cytomorphological features of various parasites on fine needle aspirates and vaginal smears. Materials and Methods: This study was a retrospective study of 5.5 years during the time period from July 2015 to December 2020. The study included cases which were already diagnosed as having or suspicious of various parasitic infections on cytological examination. Results: There were total of 37 specimens comprising of 28 fine needle aspiration cytology (FNAC) smears and nine vaginal smears. The parasites on FNAC included 17 cases of cysticercus, eight cases of filariasis, two cases of hydatid disease, and one case of leishmaniasis. All the nine vaginal smears were interpreted as trichomonas vaginitis. Conclusion: Cytomorphological examination helps in early definitive diagnosis and exclusion of various parasitic infections. Diagnosis is important as most of these parasites are treatable and have several systemic ramifications.

Power project is the most preferred software for scheduling by construction experts throughout the world. The paper aims to know about the introduction of BIM fundamentals and to study the workflow of Power project software. The important features of the software (project planning, collaboration, scheduling, tracking and resource management) are studied. The report focuses on the attributes in which is try to explain our experience in a construction project using 4D Elecosoft power project software. The main aim of our project work is to design a G+3 residential building model using power project with 4D power project software. This is helpful in designing and analyzing a construction project using 4D power project which makes the project easier to finish it and mark the delay of the construction and I gained lot of ideas regarding 4D power project software and their purpose in the recent era of construction projects. I have also found how BIM or 4D power project software can make a project easier and earlier.

A user's identity ensures by the process of Authentication. Authentication is an important security service provided to the system by the different authentication algorithms. The algorithm includes Text password, Graphical password, Biometric password, Token authentication, etc. Text password mostly includes simple text like names, etc. And text passwords can be easily cracked. Biometric identifiers include fingerprints, etc. In Graphical password, the user selects images in a specific order, presented in a GUI. And tokens are smart cards like credit cards etc. But cards can be stolen, and some people don't want to carry their cards. Therefore, the secure authentication scheme introduced called 3D PASSWORD". It is a combination of all these schemes that is Recognition + Recall + Token + Biometric. 3D password is a multi-factor authentication technique that has a virtual environment that looks like a real-time environment, but it is not a real-time environment. It is more secure than other schemes of authentication.

Glaucoma is the dominant reason for irreversible blindness worldwide, and its best remedy is early and timely detection. Optical coherence tomography has come to be the most commonly used imaging modality in detecting glaucomatous damage in recent years. Deep Learning using Optical Coherence Tomography Modality helps in predicting glaucoma more accurately and less tediously. This experimental study aims to perform glaucoma prediction using eight different ImageNet models from Optical Coherence Tomography of Glaucoma. A thorough investigation is performed to evaluate these models' performances on various efficiency metrics, which will help discover the best performing model. Every net is tested on three different optimizers, namely Adam, Root Mean Squared Propagation, and Stochastic Gradient Descent, to find the best relevant results. An attempt has been made to improvise the performance of models using transfer learning and fine-tuning. The work presented in this study was initially trained and tested on a private database that consists of 4220 images (2110 normal optical coherence tomography and 2110 glaucoma optical coherence tomography). Based on the results, the four best-performing models are shortlisted. Later, these models are tested on the well-recognized standard public Mendeley dataset. Experimental results illustrate that VGG16 using the Root Mean Squared Propagation Optimizer attains auspicious performance with 95.68% accuracy. The proposed work concludes that different ImageNet models are a good alternative as a computer-based automatic glaucoma screening system. This fully automated system has a lot of potential to tell the difference between normal Optical Coherence Tomography and glaucomatous Optical Coherence Tomography automatically. The proposed system helps in efficiently detecting this retinal infection in suspected patients for better diagnosis to avoid vision loss and also decreases senior ophthalmologists' (experts) precious time and involvement.

In this paper, we've got were given analysed the COVID-19 development in India and the 3 maximum affected Indian states as of 29-Aug-20 and advanced a prediction version to forecast the behaviour of COVID-19 unfold withinside the destiny months. We used time collection data for India and implemented the Susceptible Infective-Removed (SIR) version and the FbProphet version to anticipate the height infectives and top infective date for India and the 3 maximum affected states. In this paper, we further done the comparative evaluation of the prediction results from SIR and FbProphet models. From this study, we concluded that with the idea that an entire five% of India's populace is probably inflamed via the pandemic, the country wide unfold is forecasted to benefit its top via the end of Nov-20. And until the time there can be no vaccination, for the states which have already reached their top and with festivals in the course of the corner, there are excessive opportunities of resurgence in the kind of instances if the social distancing and unique control measures aren't observed diligently withinside the imminent months. [15] People over the age of sixty five are much more likely to revel in extreme symptoms. Some individuals For months following recuperation, you'll be managing an entire lot of aspect effects (extended COVID), further to harm.

Deep structured learning or hierarchical learning or deep learning in short is part of the family of machine learning methods which are themselves a subset of the broader field of Artificial Intelligence. Each successive layer uses the output from the previous layer as input. Deep neural networks, deep belief networks and recurrent neural networks have been applied to fields such as computer vision, speech recognition, natural language processing, audio recognition, social network filtering, machine translation, and bioinformatics where they produced results comparable to and in some cases better than human experts have. CNN are applied for deep feature extraction and LSTM is used to detect the class based on extracted features. Deep learning technique that would sort the fruit into abnormal and normal based on the feature such as fruit color, number of fruit spots , and shapes of the fruit, The proposed system achieved an accuracy of 98.17%, The susceptibility of disease detection was less with lesser availability of enhanced detection methods for detecting disease in earlier stages. The issue with various existing algorithms is that the accuracy was reduced so some problems not eliminated. Deep learning delivers methodologies, approaches and functionalities that can help to resolve analytic and predictive analysis accurately.

A new specialist design role is emerging in the construction industry. The primary task related to this role is focused on the control, development and sharing of geometric information with members of the design team in order to develop a design solution. Individuals engaged in this role can be described as a parametric designers. Parametric design involves the exploration of multiple solutions to architectural design problems using parametric models. In the past these models have been defined by computer programs, now commercially available parametric software provides a simpler means of creating these models. It is anticipated that the emergence of parametric designers will spread and a deeper understanding of the role is required. This thesis is aimed at establishing a detailed understanding of the tasks related to this new specialism and to develop a set of considerations that should be made when undertaking these tasks. The position of the parametric designer in architectural practice presents new opportunities in the design process this thesis also aims to capture these. Developments in this field of design are driven by practice. It is proposed that a generalised understanding of applied parametric design is primarily developed through the study of practical experience. Two bodies of work inform this study. First, a detailed analytical review of published work that focuses on the application of parametric technology and originates from practice. This material concentrates on the documentation of case studies from a limited number of practices. Second, a series of case studies involving the author as participant and observer in the context of contemporary practice. This primary research of applied use of parametric tools is documented in detail and generalised findings are extracted. Analysis of the literature from practice and generalisations based on case studies is contrasted with a review of relevant design theory. Based on this, a series of strategies for the parametric designer are identified and discussed.

The reaction was initiated by the photochemical activity of an electron donor–acceptor complex formed by the interaction of isocyanobiaryls with alkyl(aryl)sulfinates.

Nutraceuticals are bioactive or natural chemical components that are been marketed all over the world. It claims to be disease preventing along with health promoting product with some of the medicinal properties. It is categorized as vitamin, mineral, animal product and health supplement. Nutraceuticals has the major advantage over the medicines as they avoid the adverse effects that are caused by drugs. Nutraceutical market is expanding day by day and the claim for the product is enlarging. Users are looking for alternatives for the prescribed medicines as well as the health product that will supplement dietary intake on daily basis. Different countries classified products into various categories depending upon their health claim. In Association of South East Asian Nations (ASEAN) the Asian Alliance of Health Supplement Association (AAHSA) regulates the responsibilities to ensure that the nutraceuticals before marketing are safe.

Among seven insecticides evaluated azadirachtin 10000 ppm (1 ml/ l) was found to be the most effective against seed weevil Curculio c-album F., followed by deltamethrin 2.8EC (1.0 ml/ l) and malathion 50EC (2.0 ml/l). The least effective was spinosad 45SC (0.3 ml/ l) followed by cyantraniliprole 10.26OD (1.8 ml/ l). Three rounds of sprays (new flush, pre bloom and post bloom) of insecticides gave better protection when compared to single/ two sprays. Maximum healthy fruit yield (49.81 kg/ tree) was obtained with azadirachtin.

This is a short research article based on the challenges and questions arising due to online education of government school students. It has been written in the light of online learning during the temporary shutdown of the schools in the unexpected situation of COVID-19. Data collection for this study was done during April and May, 2020. An interview schedule was prepared and seven government school teachers from Delhi participated, voluntarily. These teachers were concerned for the classes till high school. Interviews were based on the online teaching experience of teachers from disciplines of English, Hindi, Mathematics, Science, and Social Sciences. With this piece the researchers tried to examine two main areas. Firstly, the methods and their impact used to teach different disciplines. Secondly, the student - teacher relationship during online learning.

Microspheres having free flowing powder characteristics, which are consisting of synthetic polymers and proteins. These are biodegradable in nature having particle size less than 200um. Microspheres are the multiparticulate drug delivery systems which are consisting from natural and synthetic material. Microspheres received much attention not only for prolonged release, but also for targeting of anticancer drugs. In future by combining various other strategies, microspheres will find the central place in novel drug delivery, particularly in diseased cell sorting, diagnostics, gene & genetic materials, safe, targeted and effective in vivo delivery and supplements as miniature versions of diseased organ and tissues in the body.

Emulgel is NDDS that is in recent light for its capacity to deliver hydrophobic drugs. In a topical drug delivery system, the most important task is to pass the drug through the barrier and the proper diffusion of the drug in the skin. Emulgel is made up of emulsion and gel where emulsion helps in the delivery of hydrophobic drugs while gel gives proper diffusion, spread ability and improves the stability of an emulsion. It’s a dual release system in which the emulsion is jellified by gelling agents giving us characteristics of both emulsion and gel along with improved patient compliance. In the following review, we will discuss about the emulgel and its types along with its method of preparation, evaluation and applications in a comprehensive way.

In modern age of revolution and development in drug delivery for better clinical effects conventional dosages form have still a strong grip and most popular in all kinds of medicinal preparation intended for oral use. To satisfy the need of growing market tablets dosages form have incorporated modernization in producing and some advanced tablet types. Modified release tablet formulations including, layered tablets such as In +--lay tablet, Bi-layered tablet, Medicated chewing gum, Tablet tarts, Pastilles, Lollipop, Tablet inserts, Clinicaps, Caplets, Child ecstasy tablet and Tablet in tablet are new entries in pharmaceutical market. This review highlights the current advancements and patents in tablet technology. Recent advances in novel drug delivery system (NDDS) aims to enhance safety and efficacy of drug molecule by formulating a convenient dosage form for ease of administration and to achieve better patient compliance. In the recent trend one such approach the development of rapid disintegrating tablets formulation is emerging and gaining popularity because it is easy to administer and leads to better patient compliance. These dosage forms are placed in the mouth, allowed to disperse or dissolve in the saliva. They release the drug as soon as they come in contact with the saliva, thus obviating the need for water during administration. The aim of this article is to review the progress of the evolving technologies and super disintegrating agents in the formulation, manufacturing and evaluation of these tablets. This article also discusses the new evaluation methodologies for these rapid disintegrating tablets. Various modifications in the conventional evaluation and use of specialized instruments are found to be essential in the testing of these dosage forms. In the present review the formulation techniques and different technologies are discussed.

This Project is proposed on precision agriculture system over the Internet of Things (IOT). Through analysing the present development of precision agriculture in outside world and considering its advantages and shortcomings, we decide an ecology farm as an example to conduct a replacement precision agriculture management system (PAMS). Designing a non-public Internet of Things (IOT) enabled platform for the research in precision agriculture and ecological monitoring domains. As water supplies become scarce thanks to climatically change, there's an urgent must irrigate more efficiently so as to optimize water use. During this context, farmers' use of a decision-support system is unavoidable. Indeed, the real-time supervision of microclimatic conditions are the sole thanks to know the water needs of a culture. Wireless sensor networks are playing a very important role with the arrival of the web of things within the community of the farmers. It’ll be judicious to form supervision possible via Sensors.

Although social media has become the most widely utilized and active form of communication, research on its usage in crisis management is still in its early stages. As a result, this research examines the rising body of knowledge on social media and crisis management. [1] Between October 2017 and January 2018, a review was conducted, which included locating and retrieving records from an electronic database. The outcomes of this study indicated that the rise of social media has altered the landscape of crisis communication by allowing for greater engagement. However, due to its nature, social media might also be used to spark a crisis. This means that the crisis can be both produced and disseminated through social media. Nonetheless, social media's promise as a crisis-resolution tool is undeniable. It has the capability of proving a claim, dispelling false rumors, or just demonstrating a fact. As a result, practitioners should understand how social media works and how to best use it to interact with their stakeholders. This study also includes other findings, limits, and useful suggestions for scholars and practitioners interested in learning more about the role of social media on crisis communication and management. As most of the crisis problem were reported via twitter. However, most of the problem reported and corresponding responses via twitter were not successfully exchanged between victim’s and resource organization. As a result, most of the tweets were not getting help. Thus, we designed a platform where people can avail the resources of crisis through tweets matching concept using machine learning.

Glaucoma is a progressive and constant eye disease that leads to a deficiency of peripheral vision and, at last, leads to irrevocable loss of vision. Detection and identification of glaucoma are essential for earlier treatment and to reduce vision loss. This motivates us to present a study on intelligent diagnosis system based on machine learning algorithm(s) for glaucoma identification using three-dimensional optical coherence tomography (OCT) data. This experimental work is attempted on 70 glaucomatous and 70 healthy eyes from combination of public (Mendeley) dataset and private dataset. Forty-five vital features were extracted using two approaches from the OCT images. K-nearest neighbor (KNN), linear discriminant analysis (LDA), decision tree, random forest, support vector machine (SVM) were applied for the categorization of OCT images among the glaucomatous and non-glaucomatous class. The largest AUC is achieved by KNN (0.97). The accuracy is obtained on fivefold cross-validation techniques. This study will facilitate to reach high standards in glaucoma diagnosis.

Li-Fi is similar to wireless communication which uses the communication medium as light. Nowadays RF interference are getting common due to maximum utility to overcome this problem Li-Fi is introduced in the year 2011. Li-Fi uses LED source to transmit data wirelessly this method is widely called as VLC (visible light communication). IoT technology using light fidelity module plays a vital role in environmental monitoring, underwater disaster management and underwater military applications. Li-Fi communication provides data rate of more than hundreds of Mbps for short ranges and it is an alternative approach to accostic communication in underwater. In Li-Fi, light emitting diode (LED) lamps acts as access points (Aps), and light is used as a medium to carry information bits. At the receiver, a photo diode is employed to collect photons and convert them into a electric current. By using Li-Fi technique, data is transmitted in the light. Photo detector absorbs the light and convert it into electrical signal. The photo detector is placed near the surface of the sea. The information is then passed to cloud storage then it is utilized for various application.