Volume 9 | Issue 7 |

 Abstract

With the recent outbreak and rapid transmission of the Covid-19 pandemic, the need for the public to comply with social distancing standards, and to wear masks in public places, is only growing. According to the World Health Organization (WHO), in order to comply with the necessary social distancing, people should maintain a distance of at least 3 feet from one another. This research paper focuses on a solution that will help you to secure the relevant social distance, by the use of the YOLO (You Only Look Once) object detection on in the video footages and images in real-time. The experimental results presented in the paper show that the detection of masked faces, faces and the human subjects, which is based on the YOLO, has a faster, safer and more secure, and better recognition rate when compared with its competitors. Our proposed object detection models have reached a high level of accuracy in excess of 90% with a very good output speed. The network is faster, and also makes sure that the output speed is capable of producing real-time results without compromising on accuracy. The model also provides promising results in variable scenarios.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Single shot detector, Convolutional neural network, You only look once, Computer Vision

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Communication and interaction socially are one of the basic needs of a human being. This has been instrumental in achieving large-scale improvements in the communication platform leading to the growth of the internet and the advent of social media networks. This approach has been significant in providing effective social interaction between individuals over large distances through the use of the internet platform and social media networks. These social media platforms have been improved significantly over the past few years and have added the ability to write posts with various media such as photos and videos that can be uploaded for other individuals to look at and comment. There has been a rise of people that are highly negative there are a lot of negative comments and sarcastic comments being posted on these platforms. There is a need to reduce these instances which can be highly damaging to the reputation of the social media network as well as lead to dissatisfaction in the users. Therefore to achieve highly accurate comment classification an effective methodology has been presented in this research article that utilizes Term Frequency and Inverse Document Frequency along with Artificial Neural Networks and Fuzzy Logic to achieve precise comment classification. The approach has been extensively tested through rigorous experimentation that has achieved satisfactory results

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Natural Language Processing, Fuzzy Classification, TF-IDF, Artificial Neural Networks.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstractive method of Text Summarization means generating a short and concise summary that captures the context of the source text in a smaller form. The generated summaries mostly contain new sentences and phrases that may not appear in the source text. Summaries play a vital role for readers who regularly read and search for documents. We have created a model using Deep Learning and LSTM which generates a short abstractive summary. This process requires a lot of theoretical implementations and challenges which need to be overcome which a discussed in detail in this paper.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Abstractive summarization, Natural Language Processing, Beautiful Soup, Deep learning, LSTM

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

ABSTRACT Single Electron tunneling based threshold gate is one approach by that we can implement all logic gates, sequential and combinational circuits. Threshold Logic Gates (TLGs) and Single Electron tunneling devices (SEDs) keep the capabilities of controlling the transport of an electron through a tunnel junction at a particular time. A single electron containing the charge is adequate to store an information in a SED. Power required in the single electron tunneling circuits is low in comparison with the (CMOS) circuits. The processing delay is very low and speed of the processing of TLG based devices will be close to electronic speed. The single-electron transistor (SET) and TLG are attracting scientists, technologists and researchers to design and implement for the consuming of ultra-low power and their small sizes. All tunneling events in a TLG-based circuit happen when only a single electron tunnels from one conductor to other through the tunnel junction when the proper voltages are applied. For implementing logic gates, Full adder and a binary-cum-BCD adder, TLG would be a best candidate to fulfill the necessities requiring their implementations. So far as an Ultra-low noise is concerned, TLG based circuit can be considered as a best selection for implementing the desired tunneling circuits. Different TLGs like 2-input AND, 3-input OR, Full adder, and a binary-cum-BCD adder have been implemented by using linear threshold logic gates or devices. Threshold network, truth table and simulated results of them are given in parallel in due places.

Licence: creative commons attribution 4.0

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 Keywords

Key words: BCD adder, Electron-tunneling, Coulomb-blockade, linear threshold gate

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The conformational analysis was used through the potential surface scan in order to determine the most optimized geometry of the 2,3,5-trichlorobenzophenol molecule (235TCBP). Experimental FT-IR and FT-Raman and NMR spectra were recorded. Hirshfeld surface analysis is found for the compound. The molecular geometry and vibrational wavenumbers in the were calculated by using the Hartree-Fock (HF) and density functional theory (DFT) methods (B3LYP) with 6-311++G(d,p) basis set. Comparison of the observed wavenumbers of 235TCBP with calculated results by HF and DFT indicates that B3LYP is excellent. The differences between the observed and calculated wavenumber values are very small. The theoretically calculated FT-IR and FT-Raman spectra of the title molecule have been constructed. A study on the electronic properties, such as HOMO, HOMO-1, LUMO and LUMO+1 energy was performed by this molecule. Molecular electrostatic potential (MSP) and thermodynamic properties were performed. The molecular docking activity is available in target chlorine and the oxygen atom analyzing the molecular mechanisms of ligand recognition. Atomic charges of 235TCBP was calculated and compared with molecule.

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 Keywords

Vibrational spectra; 2,3,5-trichlorobenzophenol; HF and DFT calculations; HOMO-LUMO.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Breast engorgement is more prevalent now a days and there have been many studied done to evaluate the effect of various pharmacological and non pharmacological interventions to alleviate the symptoms. The present study is a comparative study to analyse the effectiveness of patient education followed by and other non pharmacological interventions and the result showed that compared to patient education non pharmacological interventions like massage therapy, cold compression and Gua sha therapy are effective to reduce the symptoms.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

breast engorgement, alternative therapy, pain, sweeling, cold compression, awareness

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Dysmenorrhea has affected one third adolescent girls globally. The symptoms with are observed are tiredness, depression, not able to concentrate on the work. This is one of the leading causes of the short term school absentee. The non pharmacological treatment management was done using self instructional module. The module was provided to 60 adolescent girls in school of Ludhiana. It was observed that80% girls were not aware about the knowledge. Paired t test was applied to compare pre and post test knowledge scores and it was observed that p?0.05. The self instructional module was found effective.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

dysmenorrhoea, adolescent, knowledge

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

synergy, nutrition, micronutrients, interactions, biotrophic

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A product named superseeds candy was designed for all age groups, especially people suffering from co-morbidities like cardiovascular disease, diabetes, etc. This superseeds candy was made from five seeds eg. Pumpkin seeds, chia seeds, muskmelon seeds, poppy seeds and flax seeds. Seeds are small in size but are extremely nutritious; they are fiber rich, they contain good fats, great source of vitamins and minerals also. Shelf life study was done which included sensory evaluation by hedonic scale ranging from dislike a lot to like a lot. Evaluation was done on characteristics like appearance, aroma, taste, texture, mouth feel using a scoring method of sensory evaluation. Other attributes like marketing, budgeting, nutritional labeling, packaging were also studied.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

super seeds candies, high fiber, good fats, flax seeds, chia seeds, poppy seeds

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

HTML, CSS, Javascript, Django, HTL Python.

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Creative Commons Attribution 4.0 and The Open Definition