Volume 9 | Issue 2

 Abstract

Stock market investment is one of the most complex and sophisticated way to do business. Stock market is very uncertain as the prices of stocks keep fluctuating because of several factors that makes prediction of stocks a difficult and extremely complicated task. Nowadays investors need fast and accurate information to make effective decisions and highly interested in the research area with exponentially growing technological advances of stock price prediction. Understanding the pattern of stock price of a particular company by predicting their future development and financial growth will be highly beneficial. This paper focuses on the usage of a type of recurrent neural network (RNN) based Machine learning which is known as Long Short Term Memory (LSTM) to predict stock values.

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 Keywords

Long Short Term Memory, Recurrent Neural Network, Machine learning, Stock Price Prediction

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 Abstract

For any complex digital systems, design and analysis through state machine approach is preferred. In this paper, sequence detector using Mealy finite state machine is designed with reversible logic circuits. Reducing power dissipation is the main requirement for low power VLSI design. Reversible logic circuits have received more attention in the recent years because of their ability to reduce the power dissipation. The behavior of these circuits are described in Verilog HDL, Simulated and Synthesized in Xilinx ISE environment. In this work, sequence detectors with and without overlap sequence are considered

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 Keywords

Finite state machine, Sequence detector, Verilog HDL, Xilinx, Reversible logic

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 Abstract

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 Keywords

Suppressed emotions, catharsis, intense emotions, repressed.

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 Abstract

In more recent times, there has been an increase in the number of people using computers, as a result of which there is a widespread use of the Internet. The use of the Internet enables hackers to access computers using new, more sophisticated, and more complex forms of attacks, to protect computers from them Intrusion Detection System (IDS) is used, which is trained with few machine learning algorithms along with datasets. The datasets used are collected over a period of time in some networks and usually contain up-to-date data. Furthermore, they are unbalanced and incapable of storing adequate data for all forms of attacks. These uneven and outdated datasets reduce the effectiveness of current IDSs, especially for attacks that are rarely encountered. In this paper, Using Random Forest, Linear Discriminant Analysis, K-Nearest Neighbor, Decision-Tree, Adaboost, and Gradient Boosting algorithms, we suggest six machine-based IDSs. To make IDS more logical, an up-to-date security database, CSE-CIC-IDS2018, is being used in place of older and more widely used datasets. The selected database is also not balanced. As a result, the rate of inequality in the dataset is reduced using a data model called the Synthetic Minority Oversampling Technique (SMOTE) to improve the reliability of the system based on the types of attacks and to eliminate unreliable access and false alarms. Data processing is done for small classes, and their numbers increase to medium data size in this way. Experimental results have shown that the proposed method significantly increases the acquisition rate of the attacks that are rarely encountered.

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 Keywords

machine-learning, intrusion detection, IDS, SMOTE, CSE-CIC-IDS2018 dataset.

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 Abstract

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 Keywords

Heartbeat sensor,Event recorder, Holter Monitor; RaspberryPi and IoT.

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In this paper, analysis of two dimensional data hiding technique in noisy environment has been presented. Data hiding methods are generally used for protection of multimedia data. The work deals with implementation of third level data hiding technique using wavelet. The proposed work embed the secret data into mid frequency band. After embedding, proposed technique is tested under various attacks such as: noise addition, resizing filtering etc. and simulation results demonstrated that this technique is robust against attacks. All simulation results have been performed on MATLAB platform and displayed.

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 Keywords

Data Hiding, DWT, Attacks, PSNR, NCC.

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 Abstract

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plant spread, number of primary branches, days taken for 50% flowering, individual flower weight, weight of flowers per plant, weight of flowers per plot

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Motherhood, Practicing, Rural

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Diabetic Neuropathy, diabetic Foot, Amputation, Autonomous, Neurosensory, alpha lipoic Acid, Micro vascular vessels.

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COVID 19 Obstruction, Effect on Pharmaceutical Industry

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Conventionally, humans are engaged to detect defects in surface and they used to present report sheet based on their assessment. But this process is time consuming and expensive. Inspection system to replace human inspectors should be capable of detecting flaws such as cracks. Since the human inspection approach completely depends on the person knowledge and experience, but there will be deficiencies in quantitative analysis. The replacement for this problem is automatic image-based crack detection. The crack detection is the process of detecting crack by using image processing algorithms. This paper presents a crack detection algorithm based on bottom-hat transformation technique to obtain surface crack image by making use of pre-processing, image segmentation, feature extraction on the crack image.

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crack detection, thresholding, bottom-hat, median filtering, image thinning, crack length.

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Keywords: Perceived Inter-parental Conflict, Emotional Intelligence, Self-esteem.

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The world is moving towards open education. In this scenario, MOOC is a new dimension of educational opportunity that opens up a method for innovative learning. This method of learning brings the instructors and students all over the world closer through the virtual medium of internet. People are getting a common platform to share their ideas and work together. Institutes, instructors and students are able to collaborate among each other globally. A Massive Open Online Course (MOOC) is facilitating a new pathway for effective teaching and learning. It is a web-based platform which provides unlimited number of students worldwide with a chance of distance education with the best institutes in the world. It was established back in 2008 and gained momentum in 2012 as a popular learning tool. It has become a common phenomenon in management education. Most of the researchers are discussing its application in teaching. After a brief introduction of MOOC, the researchers have also included in this article management education teaching as well as SWOT analysis method. The method is adopted in the analysis of MOOC in terms of management education teaching. The strength, weakness, opportunity and threat are analyzed respectively. In conclusion, educators should notice the advantages of MOOC despite the disadvantage, and devote to application of MOOC for a better construction of management education discipline.

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MOOC, management education teaching, SWOT analysis.

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The Global Financial Crisis, which originated from the USA and then ultimately affected almost each and every economy of the World. The financial crisis is an important economic event which engulfed the entire world towards the end of 2016. It resulted in the economic meltdown of USA and Europe It proved the Marxian prediction of the inevitable collapse of capitalism. It also revived the interest in the long forgotten Keynesian solution of government intervention in economic activity to save the western capitalist economies. How is India affected by this global financial crisis? How has the government managed the impact of the global financial crisis on the Indian economy? The effects of Global Financial Crisis on the Indian Economy and the Indian Financial System will also be discussed and that how the Government of India and the Reserve Bank of India responded towards it through its policy modifications and various other qualitative and quantitative tools and techniques. A brief picture of the current state of the Indian Economy would be presented later in this chapter along with the future prospects of the Economy.

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Sub Prime Borrowers, Equity Index, Economic Meltdown

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National Electronic Fund Transfer(NEFT),Real Time Gross Settlement(RTGS)Electronic Clearing System(ECS),Immediate Payment System(IMPS),QUICK TRANSFER,

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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 Keywords

Machine Learning, Python, IBM Watson Text to Speech, Fuzzy Wuzzy, Skitlearn, Support Vector Machine (SVM), Mel-Frequency Cepstral Coefficients.

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Creative Commons Attribution 4.0 and The Open Definition

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Tailor discards, needle punching, thermal insulation, sound absorption, nonwoven boards.

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Vatavyadhi is one of the most common and uprising health problems in our daily lives, and Gridhrasi is one among them. Gridhrasi as mentioned in ayurvedic classics, is disorder wherein pain starts from sphik pradesha and radiates downwards to kati, prusta, uru, janu, Jangha, and Pada. The presentation of Gridhrasi is similar in signs and symptoms to that of Sciatica. Estimation have been made that 80% of population suffer from low backache at some points of their life among whom 40% of people suffer from Sciatica. It is observed to be very prevalent throughout the world ranging from 1.2% to 43%. In the contemporary system of medicine, administration of muscle relaxants, NSAID corticosteroids etc. give temporary relief from pain. The last option left is surgery, which may result in several complications and may even cause permanent loss of working capabilities. Lumbar traction has been found to be the most effective and non-invasive procedure to support permanent relief in sciatica. So, this clinical study was conducted to evaluate the efficacy of Rooksha Poorvaka Snigdha Sweda (modified method of katipichu) with or without lumbar traction and neural mobilization. Comparative effect of treatment on all the parameters in both the groups showed significant result. But group A showed highly significant results compared to group B.

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Ayurveda, Sciatica, Gridhrasi, Lumbar Traction, Katipichu

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The stability of a liquid soaked permeable layer warmed from below is inspected for the situation of a time dependent gravity by making a linear stability analysis. The perturbation method is used to work out the critical Rayleigh and wave numbers for small amplitude gravity modulation. The correction Rayleigh number is estimated as a function of frequency of the modulation, viscosity ratio, Prandtl number, porous parameter and couple stress parameter. We found that it is possible to progress or postpone the onset of convection in systems with couple stress fluid by proper regulating of the frequency of the gravity modulation. The impact of various parameters on the stability of the system is brought out.

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Convection, Couple stress fluid, Porous medium, , Gravity, Linear stability analysis, Modulation.

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Jammu, the Land of Penance from Vedic / Puranic Period is the proud of Duggars being also called Dharav Bishar, Madar Desha or The city of Jambu Nadi and Jambu Marga based on the holy literature so authored by Mahrish Ved beas ji a period back more than 5000 years during Mahabharata period Back ground relates to Surya Putri (River Tapti), Ten Mandals of Kishtwar (Lohit), Puru-Mandal, Audhya Dynasty, Airwan, Jamwant, Lord Krishana and nag Sarpent King Vasuki and his son Bhaid

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Jambu Nadi, Jambu Marga, Lohit, Surya Vanshi, Nagarkot, Taraf Tajwal, Taraf Majali, Taraf Bajwal

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