Volume 9 | Issue 6 |

 Abstract

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Compressive strength, slump and quarry dust

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In the then East Bengal of undivided India, among the lower class Hindus, the Namashudras were the lowest caste, they had no social status, no rights. Harichand Tagore and his son Guruchand Tagore have sacrificed their lives for the liberation of the lower classes and for the establishment of a society free from various educational, reform and religious orthodoxy. From the middle of the nineteenth century onwards, folklore gained a different dimension in the Namashudra society, mainly through the appearance of Harichand Tagore as an incarnation. The internal rituals and customs of contemporary society have influenced the Matuas. The Matuas themselves have continued the movement to assert their position in the social sphere. Guruchand Tagore eliminated the differences between different districts and clans and introduced marriage among each other. Attempts to establish the dignity and rights of Matua women can be seen during this time. Without neglecting and neglecting women, without discriminating between men and women, Harinam Sankirtan, the festival was called for to unite in religion at the same time. My main objective in this research paper is to highlight the social development of the lower class Matua society.

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Key words: lower class-Matua-Society-Marriage-Folklore-Women.

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The detection of false information is an important issue in the field of Machine Learning and deep learning. In the past few years, and the reliance upon any information from the Internet, it is now widespread. The benefits of effective interventions in this area have been diverse, as a result of the goodwill of the community. On a superficial level, this is, in general, coincides with the general problem of text classification. Researchers have proposed several approaches for the control of false information, and with the help of a simple and a number of additional methods. In this article, with the help of Natural Language Processing (NLP), Artificial Neural Networks, social networking, Sentimental analysis, we have to classify whether News is fake or real.

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Artificial Neural Networks, Sentimental analysis, Natural language Processing

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In this paper we present the patient specific system proposed for exact and powerful recognition of ECG heartbeat design. As of late numerous works have been proposed for ECG information grouping or classification. Location of any problem in heart rhythm or any change in morphological feature which a sign of arrhythmia, so finding that change for the treatment of heart patients at the beginning phase assume an crucial job . we required a successful demonstrative system as natural eyes are ineffectively fit to distinguish the morphological variety of ECG signal likewise it is hard for specialists to break down long ECG records in the brief timeframe .In this proposed system include extraction for the morphological feature, which are extended onto a lower dimensional feature space utilizing Principal Component Analysis (PCA) and temporal feature from ECG database. Artificial neural networks ANNs is utilized for design acknowledgment. ANN is amazing assets for design acknowledgment, as it having the capacity to learning unpredictable and nonlinear surfaces. The ECG design arrangement execution firmly relies upon the description intensity of the features separated from the ECG data and the plan of the classifier. Nonstationary ECG signal is successfully dissected by the TI-DWT because of now is the ideal time recurrence confinement properties. PCA is notable measurable technique that has been utilized for information density, information investigation, excess and dimensionality decrease, and highlight extraction. PCA is the optimal linear transformation wherein we ?nds a projection of the info design vectors onto a lower dimensional feature space that holds the greatest measure of energy among all conceivable straight changes of the feature space .The proposed arrangement system can adjust noteworthy interpatient variety in ECG designs via preparing the organization structure, and in this way we accomplishes higher exactness over more and more datasets

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ECG, PCA, ANN, TI-DWT

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 Abstract

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Child psychology, Behavior of children, Digitalization

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India is an agriculture-based country, with about 70% of households reliant on agriculture, and farmers dedicating their entire lives to the country's economy. They have a huge problem when the crop isn't worth the price and they aren't aware of the crop's marketplace price. Price changes in agricultural commodities have a negative impact on a country's GDP. Farmers are hurt emotionally and financially as their complete hard work for the crop cycle is for nothing. Price prediction has become a highly critical agricultural problem that can only be solved with the data available. The purpose of this study is to forecast crop prices for the next rotation. Price forecasting could aid the agriculture supply chain in making the appropriate decisions to reduce and manage the risk of price variations. This work is based on identifying appropriate data models that aid in achieving high price forecast accuracy and prediction. This paper describes a system that employs data analytics approaches to forecast crop prices. The suggested system will use machine learning algorithms and Sequence modeling to forecast crop prices based on a variety of characteristics such as harvested area, yield, and so on. This gives a farmer an idea of the future price of the crop that he has planted. This model entails crop price forecasting. Crop price forecasting is a difficult task since it involves so many variables.

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Agriculture; Machine learning; Price Prediction; economic factors; Random Forest Regressor, MLP, CNN, LSTM

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 Abstract

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Thermoelectric, Loop, Compression Refrigeration System (CRS)

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A preliminary study of the genotoxic effect by Micronucleus assay (MNT) is attempted in the erythrocytes of the blood of the fish Cyprinus carpio exposed to lethal and sublethal concentration of deltamethrin and technical grade and 11% EC for a period of 4 days and 10 days respectively. It serves as a biomarker study that can be the indices of the toxic action of the toxicants both deltamethrin technical grade as well as 11% EC. The fish showed certain changes in the nucleus in the frequency of their occurrence which is in the order to technical grade lethal > technical grade sub-lethal > lethal 11% EC > sub-lethal 11% EC. The exposure of the MNT assay showed the alterations which are observed compared to the control as the small micronucleus, blebbed micronucleus, binucleated cell and notched nucleus. The changes with other earlier studies are going to be discussed with the available literature.

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: MNT assay, Cyprinus carpio, Deltamethrin, Synthetic pyrethroid, 11% EC, Technical grade, lethal, sublethal concentrations.

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 Abstract

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Esp32 cam, power supply, PIR sensor, relay, solenoid lock, Buzzer, push button and blynk app

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A huge population in India alone is of the dumb and deaf people. So the system is working on a glove based device which will be used for conversion of sign language (ASL) to speech. The basic system consists of a two parts; sign language recognition and conversion to text and further to speech. The sign language glove consist of a simple hand gloves fitted with flex sensors which is being used for the monitoring the amount of bend on the fingers. Flex means bend, this is the sensors that change the resistance depending on the amount of bend on the sensor. Data from the sensors is send to the Control unit which is the Arduino UNO the analog signals from the sensors are digitally converted and compared with the stored value for the recognition of sign and then displayed as a text on the 16x2 LCD and also gives a voice output via ARP33 module which stores the predefined voice inputs .

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Creative Commons Attribution 4.0 and The Open Definition

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Sign Language converter, Flex sensors usage, ARP33a module usage in Sign to speech converter, Low cost and effective Sign language converter

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Creative Commons Attribution 4.0 and The Open Definition