Volume 11 | Issue 3 |

 Abstract

A RESERCH REVIEW OF WOMEN STRUGGLE FOR PARTICIPATION IN POLITY

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A RESERCH REVIEW OF WOMEN STRUGGLE FOR PARTICIPATION IN POLITY

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Nanotechnology, Nanoparticles, Nanotube, Nano-composites, TEM, SEM, FTIR, NMR, applications of nanomaterials.

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The Remote Media Immersion (RMI) system is the result of a one-of-a-kind combination of multiple cutting-edge media technologies designed to create the ultimate digital entertainment delivery system. The primary goal is to provide a high-quality interactive user experience. RMI encompasses all aspects of media acquisition, storage, transmitting, and final rendering. We present the architecture, technology, and exploratory implementations of Distributed Immersive Achievement, a real-time, multi-site, interactive, and cooperative environment (DIP). The objective of this endeavor is to create and develop immersive technology: a fully immersive aural and visual environment that immerses a participant or group of participants in a virtual space where they can communicate naturally despite being in different physical locations. RMI technology can effectively overcome time and space barriers, allowing for realistic interaction and collaboration among people in widely separated locations.

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Remote Media Immersion, Remote collaboration, Distributed Immersive Performance, real-time interaction.

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A condition in which the heart beats with an irregular or abnormal rhythm is known as Arrhythmia. This paper presents a procedure to extract information from Electrocardiogram (ECG) data and determine types of Arrhythmias. Here Empirical Mode Decomposition (EMD) technique is adopted for noise removal and Artificial Neural Network(ANN) is used for classification. The decisions were achieved by determining different intervals such as PR Interval, RR Interval, QT interval etc. and those intervals were compared with the ideal intervals. The ECG records taken from the MIT BIH arrhythmia database are sampled at 360 Hz (fs =360Hz).During the whole process MATLAB was used and ECG signals were taken from Physio Bank ATM.

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Denoising, ECG Signal, Artificial Neural Network, Electrocardiogram, Peak detection, QRS Complex.

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Razor Technology gives you all the tools, resources, and technology you need to stay competitive, relevant, and profitable. Your fast-changing business challenges keep us focused on providing world-class technology solutions. But our desire to create trusted, long-lasting relationships keeps us focused on delivering the highest standards of service. Keeping up with emerging technologies and trends isn't easy--but you don't have to do it alone. We're with you every step of the way. We develop, implement, and support end-to-end IT solutions that simplify your infrastructure, eliminate cost, and allow you to scale on demand.

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Razor Technology, Cloud computing, Data Security, Cyber Security, Networking, Razor Market Trends

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Mobile cell capacity can be increased by Space Division multiplexing by reusing frequencies in different directions. But, today's technology cannot provide Tb/s capacity. In this paper, I introduce time-to-space division multiplexing as a new scheme to steer multiple beams simultaneously to different users. The main advantage of the proposed method relies in the fact that simple hardware can be used to generate the beams. In other word, it provides the advantages of space division multiplexing without relying on the complex array feeders that are usually required. Thanks to this advantage, the proposed technique can be easily combined with millimeter Wave systems.

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Time-to-Space division, Tb/s Mobile Cells, Beam Forming, Beam steering

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By recommending suitable e-contents from e-learning servers based on an analysis of the learners' preferred learning modes, the quality of e-learners can be raised.. Because psychological balance is variable in nature, and e-learners differ based on their learning patterns, environment, time, and mood, the learning styles had to be carefully predicted. Furthermore, the knowledge about the learners used for learning style prediction is inherently uncertain. This research suggests using survey guidelines to manage the uncertainty in learning style predictions and finds the Felder-Silverman learning style model as a good model for learning style prediction, particularly in web contexts. Fuzzy logic using a Gaussian membership function has been tried in evaluations with students learning the C programming language, and it has been found that the proposed model greatly increased prediction accuracy.

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LEARNING STYLE FORECASTING SYSTEM WITH FUZZY LOGIC

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JAGAN MOHAN REDDY THEOREM TO DERIVE THE EXACT ? (1553rd Proof)

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JAGAN MOHAN REDDY THEOREM TO DERIVE THE EXACT ? (1553rd Proof)

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In micro-indentation testing for several types of materials, the indentation size effect (ISE) was noted for a comparatively greater range of applied test loads. Heat-treated plain carbon steels, copper, aluminium, and tool steels were the samples used in this investigation. The analysis made use of a micro-hardness tester with loads ranging from 0.49N to 9.8N. The modified proportional specimen resistance model (MPSR i.e. P = P0+a1 d1+ a2 d2), where P0 accounts for the residual surface stresses generated during the sample preparation process, provided better correlation between literature-cited load-independent hardness values and the measured values among the existing models that relate the indentation load and indentation length. Regardless of the loads applied, the investigation produced the precise hardness values for all the materials. Surface strains or any brittle structures at the surfaces can occasionally cause inconsistencies in the hardness readings.

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indentation size effect, heat treated Copper, Aluminum, Tool steels, plain carbon steels, micro-hardness

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