Volume 8 | Issue 6 |

 Abstract

In this model, we create a Smart band by using ARDUINO MEGA (ATmega2560) microcontroller to protect women�s from the harassment which acts as brain of the system, because the entire system program instruction stored in it. Here we have heart beat sensor to know the abnormal condition of women even women can manually trigger the device to notice other that she is at an emergency situation. The GPS module which we use here to know the exact location of the person therefore the location send to respective person and aslo public service organization to take immediate action against women attacks using RF based wireless module call ZIG BEE. The GSM can send message or call to desired person whom the women want to. The system has Neuro stimulator for women at the time of emergency to attack back all though we have also used an alarm device to let other know about the emergency situation.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Arduino Mega, Heart beat sensor Zig bee, Neuro Stimulator

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In this project , We propose a new cost function for adaptive blind equalization based on Quadratic PDF matching for Rayleigh varying channel. The proposed approach is based on fitting the probability density function(PDF) of the equalizer output to a target PDF. The underlying PDF at the equalizer output is estimated by Parzen window technique. The cost function of the proposed technique is minimized by an algorithm belonging to the Stochastic-Gradient Descent family. The performance of the proposed adaptation strategy is benchmarked against CMA blind algorithm for QPSK modulation scheme in terms of ISI reduction.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Adaptive Filtering, Blind Equalization, CMA, Quadratic distance, Probability Density Function, Cost function, Parzen Window Estimation, Doubly Dispersive Channels

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Augmented reality is one of the major technologies that is being used in various fields to enhance the experience or to create an made-up reality in order to achieve a task at hand. These tasks may be productive or just for entertainment purposes, depending on the field they are being implemented. The field that is targeted here is the Architectural field as the AR technology might help the customer in solving the time and cost constraint. The AR experience allows the engineer to target the customer needs in topics such as Designing and Construction

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

I. Image Capture II. Image Processing III. Object Rendering IV. Augmented Reality Object

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Stock market prediction is the act of trying to determine the future value of a company stock or other financial instruments traded on an exchange. The successful prediction of a stock�s future price could yield significant profit. Stock prediction has a high level of complexity involved and there exists no algorithm that can successfully predict stock prices to a 100 percent accuracy. The most prominent technique involves the use of artificial neural networks (ANNs) and Genetic Algorithms(GA). The most common form of ANN in use for stock market prediction is the feed forward network utilizing the backward propagation of errors algorithm to update the network weights. These networks are commonly referred to as Backpropagation networks. Another form of ANN that is more appropriate for stock prediction is the time recurrent neural network (RNN) or time delay neural network (TDNN). For stock prediction with ANNs, there are usually two approaches taken for forecasting different time horizons: independent and joint. The independent approach employs a single ANN for each time horizon, for example,1-day, 2-day, or 5-day. The joint approach, however, incorporates multiple time horizons together so that they are determined simultaneously. In this approach, forecasting error for one time horizon may share its error with that of another horizon, which can decrease performance. There are also more parameters required for a joint model, which increases the risk of overfitting. The predicted low and high predictions are then used to form stop prices for buying or selling. Outputs from the individual �low� and �high� networks can also be input into a final network that would also incorporate volume, intermarket data or statistical summaries of prices, leading to a final ensemble output that would trigger buying, selling, or market directional change. A major finding with ANNs and stock prediction is that a classification approach (vs. function approximation) using outputs in the form of buy(y=+1) and sell(y=-1) results in better predictive reliability than a quantitative output such as low or high price

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Absolute Artificial Neural Network , Convolutional Neural Network

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

ABSTRACT Nanotechnology is a developing branch of pharmaceutical sciences wherein the particles extend in nanosizes and turn out to be more responsive when contrasted with their unique counter parts. In the past numerous years, the utilization of synthetic concoctions and physical strategies were in mould; however, the acknowledgment of their toxic impacts on human well-being and condition influenced serious world view for the researchers. Presently, green synthesis is the watch word for the combination of nanoparticles (NPs) by plants or their metabolites. This innovation is particularly compensating as far as decreasing the poisonous quality caused by the conventionally integrated NPs. In this review, we cover the perspectives by which metal particles can be integrated from green methods in the perspective of green methods utilized in the NPs combination. In the green strategies, plant metabolites and natural substances are utilized to orchestrate the NPs for the pharmaceutical and other applications. Some characterization methods are also reviewed along with applications of NPs.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

KEYWORDS: Green synthesis; Nanoparticles; Metal nanoparticles; Green synthesis of nanoparticles

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

ABSTRACT: Objective: Mouth dissolving films these are novel dosage forms it comes under fast dissolving drug delivery system. It disintegrates or dissolves within the oral cavity. It does not require water for administration so that it is convenient for medications for the pediatric and geriatric patients which have the difficulty in swallowing. This research work was aimed to enhance the oral bioavailability and provide faster onset of action of Tadalafil by formulating its mouth dissolving film (MDF). Method: The MDF of Tadalafil was prepared by solvent casting method. Tadalafil it is a BCS class II and it has the oral bioavailability of about 28%. HPMC k-15, Xanthan gum, Sodium alginate (film forming agent), Glycerol (plasticizer), Tween 80 (solubilizing agent), Citric acid (saliva stimulating agent), Sucrose (sweetening agent), vanillin (flavoring agent), Propyl paraben (preservative). The formulation was evaluated for weight variation, thickness, folding endurance, drug content, disintegration time and in-vitro dissolution study stability study. Conclusion: Based on the results F2 was showed enhanced bioavailability and rapid onset of action as compared to other dosage form.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Tadalafil, Mouth Dissolving Film, Bioavailability.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A huge number of projects have undergone distress due to the slowdown in Indian economy. As a result the Indian banking system has been increased in NPA (Non-performing Assets) and restructured real estate projects during the recent years. With degradation in value the distressed assets don�t produce any profit in economy. Financial distress is a trending topic these days in finance and the project�s health is very important for investors as well as management. Investors deposit money in those projects which are financially healthy as risk of default is minimized for them, while management must be able to identify causes of distress which can be controlled by taking different measures. This paper deals with the elements of project financial distress as its major signs and sources as well as it suggests ways to eliminate the consequences. This result provides an effective way to resolve financial distress by restructuring it. Restructuring a project is always a better option in comparison with liquidation if the project has undergone distress. This paper also shows that restructuring can be looked at in three broad categories: event oriented process oriented and technical oriented. This paper describes each category: their identification in live case study project and elimination process. I integrate the theory of financial distress into a real estate project initial model and examine a financial distressed phenomenon from capital market perspective and have made a restructured financial model based on different restructuring approaches- Additional loan, Debt Curtailment, Equity share, Debt-Equity tradeoff, Selling of shares and discussing about the profitability for each approach considering their pessimistic and optimistic value and the risk factors involved. Comparing all the approaches this paper suggests about the most suitable model that can be adopted for maximum profitability.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Debt Restructuring, Financial distress, Non Performing Assets, Project financing

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A brief introduction to literary criticism and literary theory are given at the start. Then the indication of the word� Literary Criticism? and (literary theory) alongside with the root and advancement must be analyzed. Modern literary criticism is written in a variety of genres, including the article, review, survey, essay, literary profile, and bibliographical explanation. In any genre, the critic must be, in a sense, a political thinker, sociologist, and psychologist, as well as a literary historian and aesthetician. Additionally, this paper examines various critical, literary concepts and finally the conclusion is drawn by means of the review of literature indicated.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Literary theory, criticism, traditional critical theories structuralism, formalism, feminism, deconstruction, modernism.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

To study self-control, smartphone overuse and their association among 120 late adolescent students of aged 18-21 years. For collecting and analyzing participants� data, used PMPU questionnaire (Billieux et al., 2008) for smartphone overuse and BSCS (Tangney et al., 2004) for self-control. The findings were unveiled that gender group differences were significantly found in dangerous use (t=3.91; p<.05), dependent use (t=4.71; p<.05), financial problems (t=4.19; p<.05), and self-control (t=5.62; p<.05) respectively. Stream group differences were significantly found in dangerous use (t=4.88; p<.05) and dependent use (t=2.25; p<.05) but no stream group differences were found in self-control. It was evidenced that self-control was found as a negative correlation with dangerous use (r=-.270; p<.05), prohibited use (r=-.312; p<.05), dependence use (r=-.725; p<.01), and financial problems (r=-.405; p<.01). Further it was evidenced that self-control was found to negatively and significantly predict dangerous use (R2=7.3%; F=9.30; t=-3.05; p<.01), prohibited use (R2=9.7%; F=12.73; t=-3.57; p<.01), dependent use (R2=52.5%; F=130.54; t=-11.43; p<.01), and financial problems (R2=16.4%; F=23.20; t=-4.82; p<.01) through regression analysis. This study has been concluded that students who use smartphones excessively having low self-control over their gadgets.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Gender, Late Adolescent Students, Self-Control, Smartphone Overuse, Stream

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Profitable investment into Real Estate residential projects requires a realistic and more practical approach for evaluating its financial performance and efficiency. Uncertainty in the residential real estate has always been an issue. Till date, financial return of a residential project in India is calculated using a Discounted cash flow model (DCF) which gives a single point value (deterministic result), not including risks and uncertainties. Addressing risks and uncertainties into otherwise deterministic models avoids irrelevant and impractical financial decision and help in framing a more feasible forecasting model. The objectives of this thesis is to develop a suitable investment model for residential real estate along Dwarka Expressway, Gurugram, India using both deterministic and probabilistic financial analysis models- Discounted cash flow (DCF) model and Monte Carlo Simulation respectively. Master plan analysis and real estate market analysis led to selection of �three� different stretches on Dwarka Expressway for which forecasting investment models is developed for better investment decisions. The study divides different risks involved in the study area under five categories- economical, technological, political, legal and social risks. These identified risks are then classified under 7 quantifiable major risks categories that have an impact on the cash flow - Sales risks, Market growth risk, Leverage Risk, Development risk, Inflation risk, Interest rate risk and Taxation risk. These risks with their range of possible values are incorporated into DCF model through Monte Carlo simulation (Probabilistic Model) and a comparison is made between their financial returns for choice of investing along Dwarka Expressway.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Residential Real Estate, Risk Identification and assessment, Forecasting Investment Model, Monte Carlo Simulation

  License

Creative Commons Attribution 4.0 and The Open Definition