Volume 10 | Issue 6 |

 Abstract

The rapid advancement of information on the web has caused fresh information to be accessed and processed. Therefore, a proclamation has been made that technology may help overcome the difficulty of Big Data administration and management in a timely way. The major purpose of this study is to develop a strong approach for automated textual content summarising that combines Natural Language Processing (NLP) and Machine Learning (ML). Academics have lengthy been interested by textual content summarization. Despite the reality that numerous algorithms for automated textual content summarization had been advanced in latest years, performance stays an issue. Given the developing scope and quantity of papers handy at the internet, a powerful automated information summarizer is a must. We provide a textual content precis approach on this have a look at those attentions at the hassle of locating the finest big elements of writing and supplying constant summaries.

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 Keywords

Natural Language Processing, Machine learning algorithms, Natural Language Toolkit, Text summarization, Text tokenization, Text processing ,Abstractive news summarization.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The paper seeks to explore the impact of the COVID-19 pandemic on the Indian pomegranate market. Significant changes happened in the Indian pomegranate market during the lockdown phase. The arrival and attack of the Covid-19 pandemic in India from the first week of March 2020 have a lot of negative impacts on the postharvest supply chain, transportation, retail marketing, and trade of pomegranate. But in the long-term, we can take the lessons and strengthen the production, marketing management, and postharvest management practices for the benefit of the pomegranate farmers of India. From secondary data analysis and literature review, it is found that India, as a highly growing market, has the potential for large quantity consumption and export of pomegranate fruit. Furthermore, as the pandemic is changing the food consumption habits globally, the export of fresh pomegranates is an opportunity for farmers to gain a high return on investment. In addition, the pomegranate market has the potential to create new job opportunities and uplift the lifestyle of pomegranate producers.

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 Keywords

Pomegranate; Covid-19 impact; supply chain disruption; export opportunities; market changes in lockdown phase

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 Abstract

INTRODUCTION: The protective equipment consists of garments placed to protect the health care workers or any other persons to get infected. These usually consist of standard precautions: gloves, mask, and gown. MATERIAL AND METHODS: In this study 100 samples were taken. Study was conducted to assess the effectiveness of structured teaching programme on knowledge regarding use of personal protective equipments among the nursing students. Online study tool was given to the student. First pretest was conducted online, after three days of pretest online STP was provided to the students and after three days of STP, online posttest sample was collected from the students by using the same knowledge-based questionnaire. Analysis of the study was done by using descriptive and inferential statistics. RESULTS: In this study maximum number of the respondents belongs to the age group of 20-22 years (70%) and majorities 58 % of respondents were female. In this study 25% of respondents were from each batch. Majority, 67% of respondents reside in urban area and 71% of the respondents were not having any family members working in health care setting. 95% of respondents were having previous knowledge regarding use of PPE and 53% of respondents had knowledge related to PPE from other sources. Post-test mean % (76.25%) showed that the students gained higher knowledge after STP which indicates the effectiveness of structured teaching programme. A significant association was found between the knowledge score and demographic variables like educational level, previous knowledge regarding PPE and family members in health care profession.CONCLUSION: on the basis of findings it was found that STP regarding use of PPE was effective and students gained knowledge from it.

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 Keywords

PPE, Personal Protective Equipment, Structured Teaching Program Regarding Use of Personal Protective Equipments.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

With the rapid growth and development in Internet of Things(IoT) devices, there is an increase in cyber-attacks targeting these devices. Attackers continue to find new mechanisms and techniques for tricking systems, thereby exploiting the existing IoT-HUB for illegal purposes. Hence detection of attacks in IoT and detecting malicious traffic in early stages is very challenging due to increase in size of network traffic. Also IoT devices have low storage capacity and low processing power, hence traditional security solutions to prevent IoT systems are inappropriate. In this paper, a lightweight framework based on Machine Learning algorithms is proposed for detection of malicious network traffic. The framework uses three classification based ML algorithms, namely K-Nearest Neighbors(KNN), Support Vector Machine(SVM), Random Forest(RF) for detecting attacks.

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 Keywords

IoT, Machine Learning, Network Attacks.

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract: Badminton is one of the fastest popular games in various corners of the world. The intensity of the game needs various motor fitness components; one of them is agility. The main purpose of the study was to analyze the effect of plyometric exercises with skill oriented exercises on the agility of badminton players. The study was carried out with 50 badminton players, 25 experimental and 25 control groups from the northeast region between the age group of 18 to 25 years. Twelve (12) weeks of the training program were employed for the experimental group only. Semo Agility test was used as a tool to collect and analyze data before and immediately after the completion of 12 weeks of the training program. Jamovi 2.0.0.0 version software was used to examine the data, to test the hypothesis-dependent t-test and ANCOVA for the main effect was employed; the level of significance was set at 0.05. The normality of the data was treated with Shapiro Wilk, p=0.247, and was found no violation, p>0.05. In conclusion, the result shows that there was significance difference observed between the adjusted mean of the experimental group (ANCOVA, F=108, p<0.001; which is lesser than 0.05) as compared to the control group; So the Post hoc Tukey test was employed for pair wise mean comparison (MD=0.68, p<0.001); insignificance mean difference was observed between pre and posttest mean of the control group (t=0.244@, p=0.809>0.05) but significant difference was established among pretest and posttest mean of experimental group (t=9.57*, p?0.001, much lesser than 0.05), Thus the researcher suggested to focus on plyometric exercises with skill-oriented exercises to improve the agility of badminton players.

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 Keywords

Index Terms: Plyometric exercises, Skill oriented exercises, Agility, Badminton.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Sonochemistry, Ultrasound, Nanomaterial, Sludge

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Shri Aurobindo, Teacher, Education, child, teaching, physical, mental, vital, ideal teacher, successful teacher.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Power converters with DC-DC output are gaining more attention in the world of electronic research. The development of SIMO converters was necessary to meet changing voltage requirements. With an integrated dual output converter, boost and buck operations can be performed at the same time through a single input power source. A number of power switches are used to develop the integrated converter, as opposed to a conventional buck-boost converter. With the integrated single input dual output converter, both switches can be operated together and simultaneously to produce buck and boost voltages. Multiple outputs can be controlled with the PIC controller. We develop and test a hardware prototype for an integrated dual output converter.

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 Keywords

Converter with one input and two outputs integrated, single input dual output (SIDO)

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Several scientific techniques are used during criminal investigations by the law enforcement agencies while identifying suspects and establishing the connection between a suspect and a crime beyond doubt. Techniques of collecting measurements of the suspects or prisoners such as finger prints, foot impressions or blood samples etc., may infringe the Fundamental Right to privacy under Article 21of the Constitution and the prohibition against self-incrimination under Article 20 (3). Therefore, certain provisions of Criminal Procedure Code, 1973 and the Identification of Prisoners Act, 1920 grant the required legal authority to collect evidence of physical nature from the body of the suspect/prisoner. However, the courts found that this century old law has many limitations relating to the use of the modern scientific measures of collecting evidence. Therefore, on 4 April 2022, the Criminal Procedure (Identification) Bill, 2022 has been passed in Lok Sabha seeking to replace the 1920 Act. The Bill invited much criticism of being a threat to the constitutional rights of persons concerned as it expanded the type of data that may be collected, the persons from whom such data may be collected, and the authorities that may require such collection. This paper endeavours to highlight the provisions of the Bill and argue for the reconsideration of the provisions that pose a potential threat to the human rights concerns of people. It is suggested that the proposed law which puts the human rights of persons at stake has to be thoroughly re-considered at any cost before it becomes a law.

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 Keywords

Criminal Procedure, Collection of Evidence, modern scientific measures,Constitutional rights, Identification, suspects,criminal investigations, law enforcement agencies,

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Odometry is the most widely used method for determining a mobile robot's current position. Odometry gives conveniently accessible real-time positioning information in between periodic absolute location measurements in most practical applications. In differential-drive mobile robots, the most common sources of systematic error in odometry measurements are: a) uneven wheelbase and b) uncertainty about the effective wheelbase diameters. These errors are nearly constant and accumulate overtime. Therefore, there is need to calibrate the odometry sensor. In literature, it has been found that turn table method is widely adopted by the most of the researchers. In the proposed work, we are going to introduce hexagonal table for the calibration of odometry sensor. Finally, obtain result will compare with the traditional calibration methods.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Systematic errors ,Unsystematic errors

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Creative Commons Attribution 4.0 and The Open Definition