Volume 8 | Issue 6

 Abstract

During this, we designed the editing function size and position adjustment, hiding and displaying, style editing, edit by device type etc. for every device type in order that contents will be dynamically converted in step with resolution or screen size in step with various devices and to be able to answer various devices by storing device information in an exceedingly component created through editing function. To boost the viewer of the online application and to boost the processing speed of the server, a component using the lazy loading technique was designed. In this, responsive web functionality and improve server throughput results show that the response function of the online function and therefore the improvement of the processing speed of the server are improved by the monitoring tool, and therefore the processing speed is improved in most browsers. All features can operate in real-time manners with our software architecture and loading mechanism, called Lazy Loading. The experimental results show that, with new software architecture and Lazy Loading, the online page can response 50% faster than loading the whole online page on the average and therefore the Lazy Loading can reduce the latent period of most pages by 50%.

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 Keywords

Web application, lazy loading, component, load on demand, responsive functionality

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Face detection is a computer technique that determines the positions and sizes of human faces in arbitrary video and images. It detects countenance and ignores anything like buildings, trees and bodies. Human vision awareness is currently a lively research area within the computer vision community. Human facial localization and identification is usually the primary step in applications like video monitoring, human computer interface, face recognition and image management. Identifying and tracking human faces may be a necessity for face recognition and / or countenance analysis, although there's often a generalized face image available. the matter of computer-based face recognition using unbiased facial data as an analysis remains a largely unexplained area of research. Given how humans perceive faces and the way they differ from verification machines, it should be fascinating to ascertain how machines favor different countenance, instead of presenting face recognition difficulties. . Therefore, this paper examines the question, which involves the thought of face recognition using incomplete facial information. The experiment is predicated on the utilization of Object Oriented programing language (OOP) with OPENCV (Open Computer Vision) for correct classification and identification of the face. During this paper we shall implement a Har-Classifier for Face Detection and Tracking supported the Har features.

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 Keywords

Imperfect facial data; face recognition; PYTHON, C++, OOP; OpenCV

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In recent times robotics plays an important role in innovation. Robotics combines science, technology, and engineering to build robots. Humans try to construct robots that are structurally similar to that of animals and insects. This allows us to compare and imitate the animal movement and their walking pattern. Inverse kinematics is a method of determining the values that we need to move to a particular position. With this idea, we have developed a 6- legged robot and observed the tripod gait algorithm using inverse kinematics. The hexapod has a camera module attached which helps and video streaming and provides a virtual view in a local network. Additional features like pan and tilt options for the camera module helps the user to get a better view of the surroundings

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 Keywords

Hexapod, Tripod gait, Legged-robot, Virtual telepresence, Inverse kinematics, Video streaming, Automatic, Arduino, Raspberry Pi

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For autonomous vehicle driving technology to move forward from the testing phase to actual self-driving car, safety measures and error minimization plays a key role. This paper explains the techniques to outline the road road-lanes through the road-lane detection method. The width of the road road-lanes can be explicitly calculated to define the relative position of the vehicle in the defined road-lane. Inbuilt camera sensor produces lots of information from the surrounding which are processed through a machine vision system. The advanced system predicts trajectories collected during human handling of the vehicle and employs these to produce automatic tags for training a semantic-based pathway prediction model. Apart from, a camera actual inclination gradient and the road-road-lane breadth would be obtained through active normalization. This approach is used to find the road-lane and width of the road from both sides effectively when there is a hindrance on one side. The drivable route knowledge is necessary particularly in unorganized situations and is crucial for an intelligent transport system to get reliable driving choices

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 Keywords

Autonomous Driving, Road-lane tagging, Road-lane tracking, canny edge detection,, Hough transform, Vision based algorithms, geometric

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The research study addresses the critical role of food retailers in the time of unexpected level of crisis due to the spread of infectious Corona Virus. It is divided into two sections. First section is primary data based and exploratory in nature. Second section is secondary based and explanatory in nature. In the first section usefulness of the neighbourhood grocery stores (kirana stores) has been discussed and these grocery stores have been proved to be extremely critical lifesavers in nationwide lockdown. In the second section, an action-plan has been suggested that food retailers should consider to help their communities, their employees, and their business. To achieve the objectives of this research various websites, newspaper, magazines, books, and journals were searched to collect data on food retailer planning. A sample of 50 was taken by convenience sampling technique to analyse the utility or usefulness of local kirana stores. Food retailers definitely have the ability to handle this crisis for the well-being of population. Keywords: Food retailer, critical role, usefulness, kirana stores

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Keywords: Food retailer, critical role, usefulness, kirana stores

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 Abstract

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 Keywords

communication, decision making, ethics, ethical leadership, performance, job performance.

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Creative Commons Attribution 4.0 and The Open Definition

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Data sharing in cloud computing is depriving user�s direct control over the outsourced data, which inevitably raises security concerns and challenges. Extra computation cost and communication overhead have been introduced to the data owner. Normally in Public Key Encryption the data owner downloads and decrypt the requested data, and further re-encrypts it under the target user�s public key which introduces extra computation cost and communication overhead which is a contradiction of the concept cloud computing. Another way is to allow data owners to define access policies so that the sharing data can be encrypted with the attribute-based encryption using the access policies which allows only authenticated users whose attributes matching their policies to decrypt the cipher text. However, here also data owner needs to download, decrypt and re-encrypt the requested data in case data access policies change dynamically and frequently. To overcome these drawbacks Client Centric Proxy Re-Encryption scheme gives a concrete solution for secure data sharing in cloud computing which deprives user�s direct control over the outsourced data. By making cloud server responsible for re-encryption this application reduces communication overhead, extra computational cost which have been introduced to data owners.

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client Centric Proxy Re-Encryption, Computation Cost, Communication Overhead.

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 Abstract

Malnutrition, defined as underweight, is a serious public-health problem that has been linked to a substantial increase in the risk of mortality and morbidity. Many factors can cause malnutrition, most of which relate to poor diet or severe and repeated infections, particularly in underprivileged populations. Inadequate diet and disease, in turn, are closely linked to the general standard of living, the environmental conditions, and whether a population is able to meet its basic needs such as food, housing and healthcare. Malnutrition is thus a health outcome as well as a risk factor for disease and exacerbated malnutrition and it can increase the risk both of morbidity and mortality, thus we intend to study the different variables responsible for the development of severe acute malnutrition.

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 Keywords

: severe acute malnutrition, socioeconomic status, complementary feeding INTRODUCTION

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The massive lockdowns following the Covid19 outbreak has brought the lives of billions to a standstill. It has systematically put people on house arrest. A good look at the crisis can prove that it is not only disrupting economic prosperity but also widening the ever-persistent gap in caste, class, and gender. The virus has dismissed all illusions of 21st-century gender equality. Undeniably, our very survival in these times depends on the class hierarchy we fall in, whereas our days at home are defined by the gender we belong to. While the governments have been successful in putting up a tough fight against the pandemic, they have failed to identify the gender perspectives that came along with the lockdowns. Quarantine has now become a lifestyle, with children forced to be at home, elderly who are particularly prone to get infected, and babies that cannot be baby-sat by willing neighbours anymore. The unanticipated confinement has disproportionately burdened women with domestic caregiving. The focus of this paper is to analyse the differential impacts of health crisis among women and girls. Scrutinising the gendered perspective of a global crisis can help governments worldwide to operate in the right direction and thereby optimise the containment efforts.

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Covid 19, lockdown, women, domestic violence, pandemic, quarantine.

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Thyroid diseases are responsible for many fatal outcomes for unborn baby as well as neonate, due to which neonates may present early or late symptoms of the underlying thyroid disease in near future after birth .it is very difficult to know the symptoms of thyroid diseases in pregnancy who are just new to motherhood. Also there might be lack of knowledge in the rural background and the socioeconomic as well as the educational status of the mother might take it difficult to reach out for the symptoms appeared to make it diagnosed from a clinician .in medical terms in pregnancy there are changes in maternal hypothalamic-pituitary-thyroid axis, the fetus develops its own HPT axis and there is also very active role of placenta for newborn in iodide, metabolism and T4 transport. Thus, during gestation three-compartment thyroid model exists. The maternal and fetal hypothyroidism occurs in combination when there is iodine deficiency in that region. Congenital hypothyroidism is the most common preventable disease that can be prevented by being vigilant for the disease during pregnancy as well as during neonatal period. A major portion of the disease is responsible for the infertility and also first trimester spontaneous abortions.

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 Keywords

hypothyroidism, birthweight, posterior fontanelle

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 Abstract

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Stock Price Prediction, Machine Learning, Long Short Term Memory

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Water is an essential resource for life and it is now a matter of important day. This problem affects various processes such as water management, water consumption, distribution, system detection and equipment maintenance. Based on this measurement, we offer a smart water heating system by connecting the Internet of Things technology with the combination of business process and decision support systems. We provide architecture to detail physical scene where we will examine our implementation. It is uncomfortable and often effective for periodic human intervention to maintain for the any traditional water system. This paper presentation will present the system's complete working process. In the introductory, there describe the details of the system, the purpose of the system, scope and justification of the system. There have some literature reviews about the relevant projects in relevant fields, which are reviewed and described soon. There are detailed descriptions of the work flow of the procedure section which are strictly followed during the project completion. Need Analysis, design and development hardware needs, software requirements, block drawing, description of the material used in the project, circuit diagrams and flotation discussions.

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 Keywords

Wireless Sensor Network (WSN), water parameters, Internet of things (IoT), WI-FI.

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 Abstract

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The protection of microgrids (MGs) is one of the most important and dangerous operational challenges with the gradual implementation of renewable energy sources in recent power systems. MGs are generally combined with photovoltaic (PV) arrays, wind turbines, fuel cells. Fault detection in MG is very complicated due to complex structures and so many bus bars available in MG, so fault detection and classification is necessary for MG operation and control, as it allows the system to perform fast fault isolation and recovery. Otherwise, MG component like transformer, loads, generators, and insulator may get damage due to long-duration faults presents in the system. In this paper, an intelligent fault detection method for MG based on wavelet transform (WT) and neural network (NN) is used. The main objective of the proposed scheme is to provide fast fault type information for MG protection and recovery. In this scheme, branch currents are pre-processed by discrete WT to extract statistical features. Then all the available data is given as input to NNs to developed fault information. All the tests are conducted on the IEEE 14 bus system.

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 Keywords

Microgrid protection, fault detection, wavelet transform, neural network.

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 Abstract

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Feed siphon, siphon plan, CFD investigation, siphon execution, edge ranges.

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This study was inspired by an aspiration to examine the private housing developers commitment to design and construct estates in environments that have necessary facilities. The paper aims to assess the relative satisfaction level conveyed by the residents of private housing estates in Enugu, in the hope that the results would advance the design of such environments. The results of hypothesis tested show that environmental facilities have a significant effect on residents satisfaction. Analysis model of spearman rho correlation analysis showed a correlation coefficient value of 0.085 with a significance probability point of 0.023. This implies a weak relationship exists between the environmental facilities and residents satisfaction. Furthermore, the significance probability point of 0.023 shows it is significant. This finding shows that these environmental variables- mode of refuse disposal, state of roads within the estate, sanitization level, Recreation Park indeed represent the important factors that influence overall residents satisfaction. The paper concluded that by integrating the subjective assessments of the residents with developers/planners objective criteria, the shortcomings that produce dissatisfaction be annihilated. Residents satisfaction in private housing estates in the study area and future private housing projects, can be enhanced through the provision of environmental facilities and the facilities functioning well in the housing estates.

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 Keywords

Environment, Estates, Facilities, Private Housing, Resident's Satisfaction

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Land use is a man-made dynamic process in which human uses land resource to fulfill their various economic, social and cultural needs and the same time it also provides a base for development. The proper management, for sustainable development of land, can improve the eco-system and its productivity in a particular region. The study is an effort to indentify the current pattern of land use in Haridwar district of Uttarakhand. The total reported area of the District was 2,32,798 hectares, about more than two-fifth of that was under net sown area and about one-fourth is covered under forest area. The other land excluding agriculture was about 12.68%, and present fallow land was reported by 2.00%. The groves & gardens were extended on 1543 hectares (0.67%), cultivable waste land was 1738 hectare (0.74%) followed by other fallow land (1.43%) non-cultivable land about 1.46%, and pasture land 66 hectare (0.03%) in 2014�15. The main objective of the paper is to outline and assess the land use change in Haridwar District during 2000 to 2015 and current pattern of land use by using the secondary data sources of State Government of Uttar Pradesh, India.

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 Keywords

Land utilization, Net Sown Area, Pasture Land, Cultivable Waste Land, Fallow Land, Non-Cultivated Land.

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The study was undertaken at Manikandam block of Trichy district, to analyze the attitude youth towards agriculture. Attitude was one of the objectives in view; the study was conducted in fourteen villages of Manikandam block. The results of this study showed that, majority of the youth with an insight to promote agriculture were found to fit in the lower young age group of 15 to 25 years. Nearly two-third of current generation youth had moderate to high favorable attitude towards agriculture. Since youngsters are highly educated and more aware about mass media, their interest towards agriculture arouses. Improved technologies are welcomed by the youth as a means of simplifying their tasks with passion.

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Attitude-Rural Youth-Agriculture

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Welding is a powerful method of joining two or more structural parts. The industries use machines which are constructed of several parts. These parts may have joints to increase their length or surfaced area.. Welding is one of the important methods of making joints and the tungsten inert gas welding is a very important method for welding process. In welding beads are formed which are consisted of reinforcement height, depth of penetration and weld width. These dimensions of the beads indirectly decide the mechanical properties of the weld. In this work many experiments were performed with Tungsten Inert Gas Welding machine to critically analyze the effect of welding voltage on the dimensions of the bead. All the other input variables except the welding voltage were fixed, as the feed rate at 8.47 mm/s, welding speed at 1.19 mm/s and welding current at 100 A for whole the experimentation period. Only the values of welding voltage were varied and the effect of this variation on depth of penetration, weld width and reinforcement height was studied. Total 6 pairs of mild steel plates of dimensions 75 mm x 50 mm x 5 mm were welded for 6 variations of welding voltage. The results were tabulated and were expressed in three different diagrams in which one was for depth of penetration, one was for reinforcement height and one was for weld width. This study explains the sensitivity analysis of the effect of the welding voltage on the three dimensions of the weld bead.

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 Keywords

Tungsten Inert Gas Welding, Feed Rate, Weld Bead, Input Process Parameters, Reinforcement Height

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 Abstract

Personality means prevailing characteristics, habits, and behaviors that encourage a person to react, communicate, and think in a unique direction. It dictates, how a person acts, communicates, responds, and establishes his/her desires. Personality analysis makes a person unique in terms of his/her personality traits. Personality analysis can be beneficial in several real-life scenarios such as good or service and course recommendations, candidate screening, advertising, health advice, relationship counseling, and much more. In this research work, our main objective is to create a model that can analyze personality attributes of an individual which is based on named entity identification and a combination of feature engineering techniques including TF-IDF count vectorization and word2vec embedding. The most popular and open source Myers-Briggs Type Indicator (MBTI) dataset consisting of more than 8500 user-written posts has been used for evaluation purposes. We have implemented the most widely used and well-known ensemble learning models for experimentation consisting of Bagging, Boosting, and Stacking. A comparative analysis of the predictions made by the Ensemble Learning Algorithms has been carried out to determine the best overall performance. The results demonstrate that the stacking model delivers the best performance with an accuracy of 97%.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Personality analysis, Natural language processing, named entity recognition, feature engineering, MBTI, ensemble learning models.

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Creative Commons Attribution 4.0 and The Open Definition