Volume 7 | Issue 1

 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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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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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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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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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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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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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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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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Remote health monitoring, IoT, Visualization, analytics

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

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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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solubility, dissolution, bioavailability, factors, techniques

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The great majority of contemporary computer systems use the IEEE Standard for Floating-Point Arithmetic (IEEE 754), which has been the industry standard for floating-point arithmetic for many years. Recently, posit (Type III unum), a new number representation format, has been suggested as an alternative to the widely used IEEE 754 arithmetic. John L. Gustafson says this new format may deliver superior accuracy utilizing equal or less bits and simpler hardware than current standard. This undergraduate thesis analyses and contrasts the innovative posit number format's qualities and properties with the accepted practice for floating-point numbers (floats). We concentrate on assessing if posits would be a good "drop-in replacement" for floats based on claims made in the literature. First we propose a low-level design for posit arithmetic multiplier using the Xilinx tool to generate synthesizable HDL code which helps in the case of only unsigned numbers of multiplication. Where as in the practical, we need to focus on both signed and un-signed numbers. So here we proposed a new technique called RoBA (Rounding Based Approximate) multiplier which helps in reducing the area, delay and power by 10%, 40% and 54% respectively. To conclude this work, we propose a low-level design for posit arithmetic (signed and un-signed) RoBA multiplier using the Xilinx tool to generate synthesizable HDL code. Designed using XilinxISE14.7 software.

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 Keywords

Computer arithmetic, Floating point, Posit number system, Numerical error, RoBA Multiplier.

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An energy balance between the solar energy received by the collector and the thermal energy released or lost from the collector may be thought of as a solar thermal energy collector. The collector receiver heat loss must match the solar energy collected if no other method of thermal energy removal is offered. This will concentrate on thermal and CFD analysis utilizing various fluids, including air, water, and various solar collectors, including flat plates and parabolic troughs, which were modeled using CREO design software. Thermal study was conducted on a solar collector made of a variety of materials (aluminum & copper). These numbers are from a CFD study. Moreover, thermal analysis to identify the temperature and CFD analysis to calculate the mass flow rate, pressure drop, and heat transfer rate distribution, heat flux with different materials.

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Flat plate, parabolic trough, CFD, CREO

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Aerodynamics makes for more than 70% of the Formula 1 variables that may be affected by engineers. In the design process for the automobile industry, computational fluid dynamics is becoming more and more important, particularly for the forecasting of aerodynamic properties. The modelling of the aerodynamic flow around a Formula 1 racing car's front end is the focus of the current study. There were four stages to the numerical simulation: modelling of the geometry, creation of the computational mesh, computing of the flow, and visualisation and analysis of the flow solutions. The flow computation was carried out on a high-performance parallel computer system, the Silicon Graphics Origin2000, due to the substantial resources required. Comparison of the numerical predictions with wind tunnel data shows that the correct dependencies of the aerodynamic forces on various tuning parameters are obtained. Thus, despite the complexity of both the car geometry and the flow behaviour, the present study has shown that numerical simulation can provide a wealth of information useful to the design process

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MAJOR ROLE OF COMPUTATIONAL FLUID DYNAMICS, SPECIFICALLY THE PREDICTION OF AERODYNAMIC PROPERTIES, IN THE DESIGN PROCESS OF THE AUTOMOBILE INDUSTRY

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 Abstract

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coconut shell, lead, activated carbon

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Customers may access their data even when it is not directly under their control thanks to a new cloud service called secure distributed storage. This aids clients in ensuring the confidentiality of data that is being reused. This policy is built on the properties of the ciphertext. Encryption, commonly referred to as CPABE, is a technique that has acquired universal recognition as a way to ensure assistance. A security compromise is always conceivable with CPABE since it has an inbuilt "go big or go home" decoding component. The behavior that resulted in this security breach was the misuse of access qualifications, such as unlocking rights, and it was done by a person who wasn't allowed to. This study investigates two distinct forms of improper use of access certification: one on the part of the presumed authority and the other on the part of cloud users. Describe the CPABE- based distributed storage framework known as CryptCloud+, which is equipped to perform white-box detection and inspection. As a direct result of this measure, there will be a reduction in instances of abuse. In addition to this, it is essential to demonstrate the framework's usefulness by first carrying out a security audit and then testing it.

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Secure distributed storage; Cipher text; Detectability; Inspecting.

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 Abstract

Self-compacting concrete is a fluid mixture that may be applied without vibration to constructions with crowded reinforcing. The use of SCC can also aid in reducing hearing-related harm caused by concrete vibration at the job site. In order to comprehend the fresh features of Self Compacting Concrete, experimental research are conducted in this study. Self Compacting Concrete (SCC) prepared using Recycled Concrete Aggregates (RCA) as a partial replacement of Natural Coarse Aggregates (NCA) and contains GGBS as cement replacement with adding Super Plasticizer is the subject of the current investigation. For M30 Grade and M40 Grade, the cement is substituted with 30% GGBS as optimal and 20% as optimal, respectively. The effect of RCA on fresh properties of SCCs was measured using Slump flow test, V-funnel test, L-box test. Whereas the durability properties like acid resistivity and rapid chloride permeability were investigated to study the effect of RCA on SCC. This investigation is to examine the durability properties of SCC having Different Grades by conducting various tests.

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Self compacting concrete, GGBS, Recycled coarse aggregate, Super plasticizer, Fresh properties, Acid resistivity, Rapid chloride permeability test

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 Abstract

In flexible spontaneous organizations, the overhead caused by broadcast plans cannot be disregarded. It is understood that the probabilistic transmission plot, in which hubs transfer parcels with likelihood to reduce excess retransmissions, is a potent technique to cope with reducing overhead. In dangerous situations, toxic hubs degrade network performance; as a result, they should be prevented from course disclosure and information transfer. In this case, the extra steering packages sent by poisonous hubs. This study offers a Trust-based Probabilistic Broadcast scheme (TPB) that focuses on declining overhead, primarily caused by harmful hubs, and in which rebroadcast is not inflexibly dependent on the dependability of hubs. A light-weight trust the executive's methodology is designed based on direct and recommended trust proof to determine hubs' trust level. As indicated by hubs' trust level, rebroadcast delay is determined for revamping the rebroadcast request of steering bundles. Moreover, a clever strategy dependent on hubs' reliability is proposed to compute rebroadcast likelihood, which forestalls entrusted hubs from course revelation. The proposed trust based probabilistic transmission conspires is joined with existing steering convention and its exhibition is assessed by recreations. The mathematical outcomes show that the proposed plan can get network correspondence and diminish the directing overhead.

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SOCIAL PLATFORM BROADCAST SCHEME FOR WIRELESS SENSOR NETWORKS BASED ON SECURITY SYSTEMS

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The rapidly developing digital technology known as cloud storage has captured the attention of the entire world. Internet-based computing, or "cloud computing," provides common services, applications, and information to machines and devices on demand, like the electricity grid. Cloud computing is the outcome of the confluence of traditional computer technologies with network technologies, such as grid computing, distributed parallel computing, etc. Cloud storage has gained more traction. More and more companies and government agencies are starting to invest in cloud infrastructure. However, with the growing use of cloud storage, security issues have grown in scope. Addressing these protection issues is crucial to promote cloud computing expanded usage. The purpose of this research is to recognize the most susceptible security risks in cloud computing, allowing both end-users and suppliers to learn about the core security threats associated with cloud computing. This would encourage researchers and security experts to learn about the needs of consumers and suppliers and to critically examine the numerous proposed security models and tools

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 Keywords

Grid computing, middleware, replication, risks, virtualization, cryptography

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The UAV's canard is utilised to balance loads, enhance nose lift characteristics, increase overall stability, and enhance stalling characteristics. The canard design of ADE DRDO's ARCHER UAV aids in the balancing of the control systems located in the nose portion. Since UAVs are primarily employed for surveillance and reconnaissance, it is expected that they would maintain their high level of stability even amid turbulence. This application benefits from a UAV with a canard configuration. The majority of the canard's components are composites, and metal fasteners are employed to secure it to the fuselage. By having superior mechanical properties in the direction of the fibre, composites offer a significant advantage over metals in terms of design characteristics. Composites are also much lighter than metals reducing the structures weight. They also can be made into any form or shape without complex fabrication process. Their main disadvantage is transverse loading conditions and high cost of material. Technology of composites used in aircraft structures highly benefits in weight reduction and increasing overall stiffness of the structure. The present work focuses on optimizing the design of the canard to reduce weight while sustaining the same loading conditions. Various iterations are run to achieve these objectives by varying the composite layer thickness, fibre orientations and number of composite layers in the canard structure. The canard being used in the UAV has been modelled on CATIA from the given aerofoil profile. A hybrid design between part modelling and surface modelling is used to model it. The finished CAD model is imported into HYPERMESH for meshing. The material properties thicknesses, orientations and failure criteria are added to the components. This meshed model is then imported into PATRAN for processing it. The boundary conditions and loads are applied in this software. This file is then imported into a solver- NASTRAN for solving the FEA problem. This analysed model is then imported into HYPERVIEW to view the results.

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Composites; Canard; UAV; Analysis; FEM

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 Abstract

Studying smart hardware utilizing IOT systems was necessary for the design, development, and correction of the automated barriers at railroad crossings. Major human mistake flaws and their causes can be fixed in the current system, and the IOT systems will track input to improve the operation's efficiency. An Arduino prototype with GSM and IR sensors has been created; when a train passes over the sensor, a pop-up message is sent to the operator's phone, allowing them to manage the barriers from a distance. Therefore, the chosen employees can successfully overcome a human error. The price of constructing a flyover and underpasses will be reduced, making it a more affordable choice be expensive.

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IMPLEMENTATION AND DESIGNING OF AUTOMATIC RAIL BARRIER OPERATING SYSTEM USING IOT

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