Volume 9 | Issue 6

 Abstract

The study focus on the performance evaluation of CFS channels edge stiffened at web hole under the influence of combined bending and shear. Nonlinear simulations of shear test are performed using finite element method based package ANSYS 16.1. The parameters of the study are edge stiffened length and its fillet radius. Various characteristics such as shear stiffness and failure mode are also discussed with the help of shear strength- displacement curves obtained from ANSYS 16.1. From the analysis results, the model with 12mm edge stiffened length and 4mm fillet radius has the maximum shear strength and shear stiffness.

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 Keywords

Cold formed steel (CFS), Edge Stiffener, Shear Strength, Shear Stiffness.

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 Abstract

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Convolutional neural network (CNN), COVID-19, Deep learning, face mask, face mask detection, image processing, OpenCV, etc.

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 Abstract

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 Keywords

Spiritual Intelligence, Emotional Intelligence, Intelligence Quotient.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

An IOT based healthcare system can ensure better well-being of patients and condition of life especially in remote areas where there is no healthcare system. In this project, the vital signs of health like body temperature, pulse rate and oxygen level are measured using the sensors like LM35 and MAX30100, the measured data is sent over to the IOT cloud to get recorded history of the patient. An android app is also designed to display the current parameter values. We tried to proposed a model which is noninvasive in nature and can monitor the patient in remote area through sensor connected networks. The principle aim of this model is to provide healthcare facilities in Hospitals, Malls, Schools, Offices, Commercial & Residential Areas etc.

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 Keywords

Internet of things,IOT in healthcare, Healthcare device.

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 Abstract

The main aim of this paper is to propose an approach to reduce the system complexity of the conventional MIMO-OFDM system by reducing the number of DFT processing blocks corresponding to the receiver antennas at the receiver side. This is going to be achieved by processing the received data bits even before it is sent for processing by the space-time-frequency (STF) decoder. This results in the size reduction of the MIMO-OFDM system. Here we use a weighting coefficients calculation algorithm unlike others which are more relevant to STF coding used, this algorithm can be used for most of the STF schemes in the real time applications which is the main advantage for MIMO systems. In the proposed technique, there is no restriction on the number of the DFT processing blocks which can be used at the receiver side. They can range from one to total receiver antennas. This leads to the complexity reduction and cost minimization

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 Keywords

MIMO-OFDM, Weighing Coefficients, STFC

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 Abstract

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software

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 Abstract

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Road transport system, comfort, time, safety, satisfaction level

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Creative Commons Attribution 4.0 and The Open Definition

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API and a stoichiometric amount of a pharmaceutically approved co-crystal former are combined to generate co-crystals. Pharmaceutical Co-crystals are nonionic supramolecular complexes that can be employed in pharmaceutical development to solve physical property challenges such as solubility, stability, and bioavailability without affecting the chemical makeup of the API. A cocrystal is a crystalline entity generated by two or more molecular entities with weak intermolecular interactions such as hydrogen bonding and - stacking. Biodegradable hydrogel systems, super porous systems. Co-crystallization changes the molecular interactions and composition of medicinal materials and is thought to be a better option for optimising therapeutic characteristics. Co-crystals provide an alternative method in which any API with acidic, basic, or ionizable groups could potentially be co-crystallized. This aspect also contributes to the complementarity of existing approaches by reintroducing compounds with limited pharmacological profiles due to nonionizable functional groups. The article provides a brief overview of co-crystallization, how it differs from other states, and why it is important as an alternative to slat formation. The page also includes a summary of the numerous cocrystals that have been studied, emphasising their significance in the current trend of improving various physical, chemical, and medicinal properties.

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 Keywords

Co-crystals, supramolecular complexes, nonionizable Functional groups

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 Abstract

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 Keywords

Economy, Growth, Demand, Employment, Manufacture, Make in India, Atmanirbhar Bharat,

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Creative Commons Attribution 4.0 and The Open Definition

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Today information sharing has become an integral part of our day-to-day life. We tend to give reviews of all the things from our day to day activities to college activities and teacher reviews. Thus, by using this vast amount of data we can apply machine learning on the data and understand the sentiment behind the information shared. By understanding the sentiments properly can help in increasing the productivity of teachers and students in an academic arena. So, in our project we are going to apply sentiment analysis on the data we get from teacher and academic feedback of students. By applying sentiment analysis on the student feedback, we will improve the teaching quality thus improving the teacher quality and increase the grade of a college or institution using machine learning. To achieve this, we will de- sign a system in combination of natural language processing, machine learning and cloud computing together. We will create a mobile application where student can place reviews or teacher feedbacks. To store these feedbacks, we will use Google Cloud. Then lexicon analysis will be applied on the data using OPEN-NLP natural language processing toolkit. The data after lexicon analysis will be used to create a training dataset with two classes positive and negative. The machine learning algorithm Support vector Machine (SVM) using the self-created training dataset to get the sentiment behind the feedback. Thus, our system will put the feedback in two categories positive and negative. So, by analysing the positive and negative we can concentrate on increasing the efficiency of teachers if needed. So, by using our system a college or institution can remove the drawbacks in teaching and increase the student and teacher relationship and interaction.

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 Keywords

Mobile Application, Student Feedback, Machine Learning, Stop Words, Sentiment Analysis, OPEN-NLP, SVM.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study has been undertaken to investigate the moment carrying capacity of reduced web section (RWS) in steel beam column joint with extended endplate moment connection. A reduced web section (RWS) with 5 numbers of vertical as well horizontal slits is analyzed using ANSYS 16.0. Extensive research has been carried out on steel moment frames to improve the cyclic performance of moment connections with reduced beam section (RBS). The RBS connections are conventionally known by the radial reduction as well as hole cutting of the beam flange, some researchers have proposed reduced web section (RWS) connections. The present study dedicates to the RWS connections with vertical-slits (VS), horizontal slits (HS) as a cost-effective alternative with multiple design parameters. This paper aims to obtain proper ranges for the geometric design parameters of the VS-RWS and HS-RWS connection. In this order, two full-scale specimens of the bolted extended end-plate VS-RWS, HS-RWS connection were tested under the cyclic loading to evaluate the performance of connections, and then a parametric study was carried out using the verified numerical models.

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 Keywords

Reduced beam section, Reduced web section, connection, slits, moment.

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 Abstract

In this study, an analytical approach is used to find the effect of radial clearance between hole and fastener in load transfer capability of double shear lap joint. An undersized bolt shank or over-sized hole is a deviation due to the fabrication constraints even in aerospace industry where high precision is needed. This may increase the radial clearance between bolt shank and hole in the connecting members. As a result bending of bolt shank and corresponding change in mechanics from close fit configuration to a loose fit configuration arises. This bending may cause early failure of bolt. To find the maximum allowable clearance for safe load transferring a double shear lap joint is modeled and analyzed using Ansys software by varying bolt hole diameter to find the variation of stress along fastener.

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 Keywords

Double Shear Lap Joint, Radial Clearance, Shear Bolt, Close Fit, Load Transfer Capability

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In Indian Society Dalit Women are most Discriminated and Deprived Section in our Caste-Based system. They have been not only victim of the structural hierarchy of caste, but also face inequality in this patriarchal society. They are not only suffering from gender discrimination but also faces economic, political and social deprivation. The main objective of this paper is to understand the political, social and psychological dimensions of Dalit women in India.

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 Keywords

Dalit women, Gender Inequality, Caste-Discrimination, Political Rights, Social Right, Psychological Rights, Constitutional Rights, Legal framework

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Creative Commons Attribution 4.0 and The Open Definition

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The COVID-19 has its impact in the world in a massive way, especially due to nationwide lockdowns which have brought social and economic life to a halt. There is a multi-sectorial impact of the virus as all the economic activities of nations have decelerated down. Service industries such as tourism, hospitality, and transportation have undergone substantial losses due to reduction in mobility. Owing to the coronavirus lockdown the GDP growth of India is slumping since it created major disruption across multiple sectors. The study was undertaken with the objective to study the effect of pandemic, attitude of people and how to overcome the situation. For the study a sample of 100 respondents were taken from the state of Kerala. The major findings include atmospheric air quality was increased, noise pollution was decreased due to lockdown. ANOVA test results show that different age group has difference of opinion on wearing masks and lockdown. Adequate support from the government machinery is needed to overcome the present situation. Social distancing, wearing masks can reduce the impact of Covid-19.

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 Keywords

Lockdown, Tourism, Positive Effect, Attitude.

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Creative Commons Attribution 4.0 and The Open Definition

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Recommender system (RS) has emerged to one of the most used technology in the recent years. This paper consist overview of recommender system, types of RS, problems in RS and future scope of RS. The main purpose of this paper is to spot the research trend in RS. More than 1,000 research papers, published by ACM, IEEE, Elsevier, and Springer since 2011 to the first quarter of 2020, have been considered. While learning the Recommender system several interesting finding come out which will help current and future RS researchers to assess and set their research roadmap. Furthermore, this paper also envisions the future of Recommender System which may open up new research directions in this domain.

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 Keywords

recommender system; issues; challenges; literature review; filtering approach; filtering technique; information retrieval technique; machine learning; research trends; future direction.

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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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Pinterest, Youth

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Human coronaviruses (HCoVs) have long been considered as no significant pathogens causing common cold in healthy people. But in the 21st century, 2 highly pathogenic HcoVs which are Severe acute respiratory syndrome coronavirus (SARS-CoV) and Middle East respiratory syndrome coronavirus (MERS-CoV) emerged from animal reservoirs to cause global epidemics with alarming morbidity and mortality. An other pathogenic HcoV ,2019 novel coronavirus (2019-nCoV) was discovered was seen at Wuhan, China in December 2019 and this pathogenic HcoV has caused serious illness and death. The proposed work discusses about the detailed literature review of the contribution made by different authors.

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Covid, Corona Virus, Drug, repurposing

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 Abstract

The conventional method for classification and tumor detection of medical resonance brain tumor images is by human inspection, where in a lot of time and effort is put in by the specialists to analyze the problem area and to come up with a conclusion regarding the spread of the tumor region and its current stage. This paper proposes a fast and robust practical tool for segmentation of solid tumors with minimal user interaction to assist clinicians and researchers in radio surgery planning and assessment of the response to the therapy and classification of tumors using probabilistic neural network. Particularly, cellular automata (CA) based seeded tumor segmentation method on magnetic resonance (MR) images, and a standardized process called seed selection, is proposed. ANN with image and data processing techniques were employed to implement an automated brain tumor classification. Decision making was performed in two stages: feature extraction using the principal component analysis and the classification using Probabilistic Neural Network (PNN). The performance of the PNN classifier was evaluated in terms of training performance and classification accuracies.

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Keywords: Cellular Automata, Magnetic Resonance, Probabilistic Neural Network (PNN)

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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

 Keywords

Video Processing, Video Coding, H.264, Decoder

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Creative Commons Attribution 4.0 and The Open Definition