Volume 9 | Issue 6 |

 Abstract

The rapid development of information and communication technology (ICT), is one of the main factors in increasing the efficiency, productivity and overall performance of a system, has encouraged a growing number of researchers to study and measure the effects of this technology on economic growth. This research work aims to explore the increasing importance of ICT usage in international trade which is one of the key factors in economic growth. Different indexes in measuring ICT usage are reviewed with their pillars and the top country rankings. Taking the Global Competitiveness Index 2019 as the source, this study also examines the effects of ICT on the integration of countries in international trade by considering the Trade/GDP ratio as an indicator of their integration. The results show that there is a significant positive relationship between ICT usage and a country's Trade/GDP ratio. Especially, the Individuals using the internet, University-industry collaboration in research and development (R&D), and Availability of scientists and engineers are seen to be three of the most influential factors to affect the Trade/GDP ratio positively, while on the other hand, Firms, FDI, Technology transfer and Government procurement of advanced technology products are the most negatively sub-pillars of ICT usage.

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 Keywords

Economic Growth, ICT, International Trade, Statistical Analyses.

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In recent times, wireless sensors and sensor networks have become a great interest to research, scientific and technological community. Though sensor networks have been prevalent for more than a few decades now, the wireless domain has opened up a whole new application space of sensors. In the modern era, patients are being monitored using a network of wireless sensors. The cost of hospitalization is rapidly increasing along with the cost of rehabilitation after a major illness or surgery. During this recovery period, several physiological parameters need to be continuously measured. Hence, telemedicine and remote monitoring of patients at home are gaining added importance and urgency. An IoT smart-noninvasive-wearable physiological parameters monitoring system can be used to monitor physiological parameters, such as temperature and heart rate, saline level and of a human subject. The system consists of an electronic device which is worn on the wrist and finger. Using several sensors to measure different vital signs, the person is wirelessly monitored within his own home. The device detects if a person is medically distressed and sends an alarm to a receiver unit that is connected to a computer. This sets off an alarm, allowing help to be provided to the user. The device is battery powered for outdoor use. The device can be easily adapted to monitor athletes and infants. The low cost of the device will help to lower the cost of home monitoring of patients recovering from illness.

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 Keywords

Healthcare, Physiological parameters, Vital signs, Internet of Things, Wearable sensors

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Compressive strength, slump and quarry dust

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 Abstract

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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 Abstract

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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 Abstract

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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 Keywords

ECG, PCA, ANN, TI-DWT

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Child psychology, Behavior of children, Digitalization

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Thermoelectric, Loop, Compression Refrigeration System (CRS)

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 Abstract

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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 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition