Volume 8 | Issue 6

 Abstract

This document proposes a strong and adjustable voltage management of the three-phase voltage electrical converter. First, the standing model of the load aspect of the electrical converter is established, that takes into consideration the uncertainties of the system parameters. The projected adaptational voltage management technique combines associate adaptational management and a state feedback management term. the previous compensates for the uncertainties of the system, whereas the second forces the dynamics of the error to converge to zero. moreover, the projected algorithmic rule is straightforward to implement, however is incredibly strong, because of the uncertainties of the system and sudden load disturbances. during this document, the analysis is additionally performed to indicate the lustiness of the closed-loop system system. undefinable load and non-linear load. The simulation and experimental results area unit conferred below the belief of the corresponding non-adaptive transformer.

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Adaptive management, distributed generation (DG) system (DGS), load current observer, complete, three-phase electrical converter, voltage management.

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Aim: A common cause of nasal obstruction in children is adenoid hypertrophy. It is an indication for surgical management of nasal obstruction along with deviated nasal septum and antro choanal polyp in children due to effect on growth of children due to these conditions. If the symptoms are severe due to adenoid hypertrophy usually adenoidectomy is recommended in most of cases, however cleft palate, bleeding disorders and anaemia being contraindications of surgery, parents also get frightened when they are advised about surgery, we in our study tried to see effectiveness of nasal steroid spray and Oxymetazoline combination in adenoid hypertrophy. The safety of use of nasal steroid spray for longer duration has been studied and proved by various studies. The aim of the current study is to determine the effectiveness of mometasone nasal spray with Oxymetazoline nasal spray in treatment of children with adenoid hypertrophy presenting as nasal obstruction and mouth breathing. Methods: This prospective study was conducted in the department of Health and family welfare Civil Hospital Jwalamukhi Himachal Pradesh by combined efforts of ENT and Paediatrics doctors on 25 children who met the inclusion criteria over a period of 9 months. They were diagnosed on the basis of history taken from parents, examination done by physician and X-ray nasopharynx. Before starting of treatment a pre-treatment scoring was accessed. All children were given mometasone furoate nasal spray (for 3 months) and Oxymetazoline nasal drops (for 14 days) therapy and then children were evaluated every monthly for next 3 months and scoring on the basis of symptoms was done on every visit. X ray nasopharynx were repeated after three months of treatment. Results: During the 3 months follow up after starting the treatment, a significant improvement in symptom of nasal obstruction was seen in 64% patients and 60% patients showed improvement in snoring after one month treatment, which increased to 85.6% and 83% respectively after completion of 3 months treatment. X ray nasopharynx taken after 3 months of treatment showed reduction in grading of adenoids in 82% of total patients. 2 patients did not showed good improvement after treatment and they were referred to higher centre for adenoidectomy. Although longer follow up is required for exact results but our study established that a long term Mometasone Furoate nasal spray use could be an alternative to adenoidectomy in children whose parents are not willing for surgery or the children who have contraindication for surgery. Conclusions: In patients where adenoidectomy is contraindicated and parents who are not willing for surgery, long term mometasone furoate nasal spray with short term Oxymetazoline nasal drops treatment has good outcome as a treatment option for nasal obstruction due to adenoid hypertrophy.

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Adenoid hypertrophy, Adenoidectomy, Mometasone furoate nasal spray, Nasal obstruction, Oxymetazoline nasal spray

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We are running into many modern paradigms in development in today's field of digital technologies. IoT is perhaps the most frequently spoken about in the sector. The Internet of Things influences our lifestyle and is becoming technology which is growing fastest. IoT offers real time entity connectivity and also allows to maintain track of these artifacts. In IoT devices they are smartly linked so they can exchange info, resources with other machines. IoT uses different types of sensors embedded in different data emitting devices. These sensors use common IoT platform to share data. These platforms collect data from a variety of sources and then perform further analytics on data and finally extract essential information to share the result. The research article covers the definition of IoT, characteristics of IoT, IoT architecture and its working in stages and their applications. The key aim of this paper is to provide an description of the development and usage of the Internet of Things ( IoT), its characteristics and applications as well.

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Internet of Things, Sensors, Gateways

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The main aim of this paper is to analyse consumer perception and behaviour towards selection of OTC medicines. This research is based on secondary data collection. The study of consumer behaviour is very important field of study. In many countries regulatory agency selects a drug to ensure that OTC drugs contain ingredients that are safe and effective. Instead of final product OTC drugs are regulated according to active pharamceutical ingredient (API). This study suggests that age, gender, income, education, price and brand trust are important determinants to buy OTC medicines. The study mainly focuses on demographic, behavioural, psychographic and geographic factors, how they affect consumer buying behaviour towards OTC.

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Brand Trust, Consumer Behaviour, Over The Counter, Perception.

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External facade, Building envelope, Life Cycle Cost, Commercial office, India

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

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

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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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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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: 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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hypothyroidism, birthweight, posterior fontanelle

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

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 Abstract

????? ?????? ????????????? ?????? ??????? ?????? ?????????????? ?????? ???? ??? ??????? ???? ??????????? ???? ??????? ????? ?????????? ????. ??????? ???????????? ????????? ?????????????? ????? ??????????? ????????. ?????????????? ????? ????? ?????? ????????? ?????? ????? ????????? ????? ?????????. ????????? ????? ????? ???? ????????? ????? ???????? ????????????? ??????? ????? ?????? ????????? ???? ???? ??????? ???? ???? ????? ??????? ?????? ???????????? ???????????? ??????, 20?? ?????????????? ???????? ?????? ??????? ???? ?????????? ???? ????????. ??? ????? ???????? ???????, ??????? ????? ?????? ????????????? ???? ???????? ????????????? ?????? ?????????????????? ????????????? ??????????????. ????? ????????? ????????? ????? (?????????) ????????????? ?????????? ???? ???????? ???? ???? ????????????? ?????????? ??? ?????????????. ?????????? ????? ??????????? ????? ?????? ????????????.

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????? ????? ????? ???????

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

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

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