Volume 7 | Issue 1 | March-2019

 Abstract

According to this survey, dermatological conditions are among the world's most prevalent diseases. Therapy is universal, but it's also really challenging and takes a lot of subject knowledge. Bacteria, fungus, viruses, allergies, etc. are the main causes of most skin diseases. With the advancement of lasers and photonics-based medical technologies, skin diseases may be treated quickly and precisely. Yet, there are very few and very expensive medical equipment required for such a diagnosis. Deep learning techniques are advantageous in these situations. An important component of treating skin diseases is early diagnosis. Deep learning technique like Convolution Neural Network (CNN) may help to find the problem at an initial stage. Computer vision and Deep learning are dual stages which we used to identify diseases accurately. Theutilization of Deep Learning methods have decreased the requirement for human supervision on a regular basis. A Dataset of 5,633 images which are divided into 5 categories have been taken for Skin diseases classification. They comprise Acne, Eczema, Melanoma, Psoriasis and urticaria Hives. The model also provides the precautions needed to be taken and some recommended medicines for the skin disease. By utilizing CNN algorithm, 83% accuracy is achieved in classification of skin disease

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 Keywords

Deep Learning, Skin Disease, CNN

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It is discovered that typical anatomical alternatives of the sellaturcica are related with dental abnormalities such hyperdontia or supernumerary teeth. The most prevalent normal anatomical variation that has been linked to different dental abnormalities is sellaturcica linking. This essay's goal is to investigate the relationship between additional teeth and common sellaturcica anatomical variations. The database of the Department of Oral Radiology is used to gather high-quality pre-orthodontic radiographs (panoramic radiographs and cephalographs) of both genders and between the age groups of 11 and 40 years. Cephalograms are investigated for the anatomical alternatives of sellaturcica whereas panoramic radiographs were used to determine whether or not there were any extra teeth. The study revealed that out of 845 radiographs, 40 subjects (4.73%) were present with single unilateral supernumerary teeth.Chi-square test revealed aimportantsuggestionamong the occurrence of supernumerary teeth and anatomical variant of sellaturcica (p = 0.003*). The study determined that the different variants of sellaturcica along with sellar bridging should be taken into consideration while predicting dental anomalies in a subject while evaluating acephalograph

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 Keywords

Anatomical variant, dental anomalies, sellaturcica, supernumerary teeth

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 Abstract

India, which is in a "seismic mild zone," will not be able to assess seismic force, subsequent vulnerability, and performance of RC structures under seismic load with the appropriate static force approach. From prior earthquakes, it may be inferred that poorly assessed and constructed structures might cause significant devastation and harm to people's lives. It is established that many constructions sustain partial or complete damage as a result of earthquakes. In order to provide security against earthquake forces during installation, structural engineers and examiners never neglected this aspect while designing multi-story structures. The linear investigation methods of "Response Spectrum & Equivalent Static Lateral Force" approaches are used in this book to study the seismic response of a "residential G+10 RC frame building" in accordance with IS- 1893-2002-Part-1. These examineshave carried out by deliberating diverse seismic regions. A different reaction such as SD, lateral force, BS, & displacements hasplotted to compare the results of dynamic &static analysis.

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 Keywords

Response spectrum (RS) analysis, Dynamic analysis; Equivalent static analysis; SeismicZones, base shear (BS), Story drift (SD), story shear (SS)

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 Abstract

According to the research, stress is often a human's response to various dangers or wants. When working properly, this reaction may help us stay focused, motivated, and cognitively engaged, but if it becomes out of control, it can be hazardous and result in depression, anxiety, hypertension, and a variety of other life-threatening conditions. Cyberspace is a huge platform for individuals to communicate everything and everything they experience in their daily lives. Then, depending on the posts and status updates the person provides, it may be utilized as a very effective approach to determine that person's degree of stress. This is a suggestion for a website that accepts the subject's Twitter username as an input, scans and analyses the topic's profile using sentiment analysis, and then displays the findings. These findings show the subject's overall stress levels and provide an overview of its mental and emotional condition. Here in this project we are aiming the CNN deep learning architecture for the stress of evolution in online social networks such as Twitter.

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 Keywords

Social media, factor graph model, social interaction, stress detection, health care

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Several voltage injection techniques for "dynamic voltage restorers (DVRs)" have been investigated in this publication. Voltages and currents in loads get out of balance when abruptly non-linear loads coupled at "point of common coupling (PCC)" in distribution network. Unbalanced voltages and currents have the potential to harm loads and circulate across the power system network. Series voltage controllers significantly reduce voltage sags, swells, and harmonics caused by rapid changes in load. DVR is a linked series device that enhances power quality.

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 Keywords

Power quality, DVR, Voltage Sag, Swell, flexible AC transmission frameworks (FACTS), Unified power quality Conditioner (UPQC), UVTG (unit vector template generation)

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 Abstract

The solar system's vitality is a fantastic supply for the current fashion. The photovoltaic system has been calculated for energy harvesting and is capable of gathering numerous PV with the best efficiency. When PV is operating at its peak efficiency, which depends on both temperature and radiation, the effectiveness is higher. The PV system is capable of tracing the greatest point of power and has to be introduced in order to generate more energy because the temperature and radiation vary constantly with time. Also, the goal of this research is to improve the power point system's tracing using the INC (increased conductance) technique. This algorithm has been devised for regulating the buck boost duty cycle converted for assuring the highest effectiveness. This algorithm performance has been compared with an extensively utilizing P and O on an environment. It has been envisioned from the simulation outcomes that IC model performs better and is having oscillation minimum. The projected model has been compared with contemporary MPPT model under diversified variations of irradiance

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 Keywords

PV System, MPPT (Maximum Power Point Tracking), Boost Converter, Maximum Power Point (MPP), Perturb &observe (P&O).

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This publication gives DSTATCOM voltage regulated for minimum designation of voltage. The voltage controller anticipated that by delaying endeavors until comprehensive verification had been designed for establishing the worries of policies, it would quickly reach the code matrix. For the 3-4 wire inverter voltage sources and accompanying minimum pass channel requirement, force phase is taken into consideration here. Moreover, the control model produces 2 transport dc voltages and 3 voltage circles by active damping. For the purpose of broadening the controller's approach, combining two rings has been considered: the potential of using fewer power points while excluding unnecessary response flow compensation. Also, the repeating circle allows for the use of available data during coupling impact to enable the controller voltage as a lattice-free, primarily edge of design. The tests outcomes exhibited guideline confine, the stress points have been computed for straight and non-linear burdens

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 Keywords

Point of Common Coupling (PCC), voltage controller (VC), distribution static compensator (DSTATCOM)

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Smart and linked social insurance is one of the wide range of applications made possible by the Web of Things (IoT) that is particularly important. Organized sensors enable the social occasion of rich data demonstrating our physical and mental wellbeing, whether they are worn on the body or embedded in our living spaces. Such data can actualize a positive revolutionary shift in the medical services scene if it is constantly collected, totaled, and profitably mined. In particular, the availability of data at previously unimaginable scales and transient longitudes combined with a new era of astute handling calculations can: (an) encourage an improvement in the routine with regard to medication, from the current post facto analyze and treat responsive worldview to a proactive system for visualization of illnesses at an early stage, combined with aversion, fix, also, by and large administration of wellbeing rather than malady, (b) empower personalization of treatment and the board alternatives focused on especially to the explicit conditions and needs of the individual, and (c) help diminish the expense of medicinal services while at the same time enhancing results. In this paper, we feature the chances and difficulties for IoT in understanding this vision of things to come of medicinal services.

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 Keywords

Remote health monitoring, IoT, Visualization, analytics

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Ascorbic acid, UV Spectrophotometric method, Method development and method validation.

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 Abstract

A medicine or other chemical that may be taken orally is said to be orally bioavailable, which indicates that it can be absorbed and utilized by the body after being consumed. One of the key factors in achieving the needed medication concentration in the bloodstream for pharmacological effects is solubility. Poorly soluble medicines have insufficient bioavailability in gastrointestinal fluids due to their weak solubility and slow dissolving rate. To make medications more soluble and hence boost their bioavailability, several pharmaceutical procedures have been devised. Each strategy has its own benefits and drawbacks. Understanding the elements that affect a drug's solubility and dissolution aids in the creation of novel techniques that increase a drug's bioavailability.

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 Keywords

solubility, dissolution, bioavailability, factors, techniques

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Creative Commons Attribution 4.0 and The Open Definition