Volume 10 | Issue 5 |

 Abstract

In this paper a Corona shape metamaterial antenna consisting of rectangular Split Ring Resonator(SRR) is proposed. The Left Handedness of the unit cell is verified and investigated.The antenna is designed using HFSS software and it is etched on Rogers RT/Duroid 5880 substrate having a thickness of 1.6 mm and the overall dimension of the antenna is 10 x 10 x 1.6 mm3.The antenna achieves frequency band of 25.97 to 27.27 GHz with a return loss of -10 dB and voltage standing wave ratio of less than 2 with a maximum gain and directivity of 5.8dBi and 2.56dB respectively. The efficiency of the proposed antenna is 93.3% at the frequency of 26 GHz which is considerable higher. The proposed metamaterial antenna is better miniaturized, and have frequencies which mainly find applications in 5G applications.

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 Keywords

metamaterial, split ring resonator, HFSS software

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The recent COVID-19 virus outbreak has caused a global health crisis. According to the World Health Organization (WHO), one of the effective protection measures is to wear a face mask in public areas. The COVID-19 pandemic enforced the governments across the world to impose lockdowns to prevent virus transmission. Reports indicate that wearing facemasks at workplace clearly reduces the risk of virus transmission. Therefore, we built a face mask detector with computer vision using Python, OpenCV, Tensor Flow and Keras. In our proposed system we use live video streaming. We train the system to detect the faces of the registered people at a particular workplace. The main aim here is to identify whether a person on the live video stream is wearing a face mask or not. If it detects a person who is not wearing a mask, then it sends an alert message stating the same. This method attains an accuracy of up to 95.77%. We use the mobile net model to detect the presence of masks correctly without causing over-fitting.

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Face mask; Covid-19; deep learning; Keras; OpenCV.

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--

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 Abstract

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Stroke, NIHS Scale, Modified Rankin Score, Stroke assessment, neurological and physiological Parameters, stroke patient pack.

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 Abstract

Online shopping has become a trend in the present times. Over the years the e-commerce market has globally expanded and in India it has grown massively. Especially, sudden shutdown due to the pandemic has brought the physical market online. One can shop anything online and it delivers in the shortest time they can. Various websites given various offers and time slots according to the comfort of the consumer. It has also led the consumer to change its shopping patterns and consumers have changed its online shopping behavior over the time. The present study attempts to study the various factors that have led the consumers of Jammu to change their behavior towards online shopping. The paper consists of data collected from 116 respondents across Jammu city through closed ended structured questionnaires. The study is qualitative in nature. The study reveals that demographic factors like age, income, occupation, education plays an immense role in their online shopping behavior.

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 Keywords

Online shopping, consumer, behavior, satisfaction, buying behavior

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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-

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Creative Commons Attribution 4.0 and The Open Definition

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Wireless power transmission (WPT) is popular and gaining technology finding its application in various fields. The power is transferred from a source to an electrical load without the need of interconnections. WPT is useful to power electrical devices where physical wiring is not possible or inconvenient. The technology uses the principle of mutual inductance. One of the future applications finds in automotive sector especially in Electric Vehicles. This paper deals with research and development of wireless charging systems for Electric vehicles using wireless transmission. The main goal is to transmit power using resonance coupling and to build the charging systems. The systems deal with an AC source, transmission coil, reception coil, converter and electric load which are battery

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 Keywords

CHARGING ROAD , INDUCTION CHARGING FOR ELECTRICAL VEHICLE , PARKING CHARGING , WIRELESS CHARGING , CONTACT LESS CHARGING

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The internet is one of the rapidly evolving areas that is transforming people's lifestyles. They frequently use the internet to communicate, discuss, and share information. As a result of these factors, the internet has become an integral aspect of human life. It contains information on a wide range of topics, including academic knowledge, product feedback or opinions, comments on social issues, and much more. It aids people in thinking and making decisions in a variety of situations. Before making a final decision, the majority of people seek advice from others. Sentimental analysis is one of the research areas in which data is acquired and evaluated in order to determine the sentiment of the data, such as negative or positive sentiment. This sentimental analysis, when applied to online-sold products, will benefit both customers and business entities, as buyers will be able to gain a sense of the product and business entities will be able to use the obtained data to improve the product. Existing sentimental analysis systems are unable to accurately classify sentences that contain negative polarity words but do not convey the same emotion, and these models ignore modern generation jargon like FOMO, TTYL, and others, which may provide contextual meaning and, if ignored, may cause a deviation in the actual sentiment conveyed by the sentence. To overcome the above-mentioned drawbacks, our system can analyse modern world jargon, and the actual context of the sentences is obtained through an algorithm that uses contextual analysis, diagram method, and ensemble feature selection, and the results can be used for data analysis and data visualization, which can then be used to improve the products.

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Sentimental Analysis, Contextual Analysis, polarity, ensemble feature selection, data visualization

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 Abstract

Vandhyatva (infertility) has been long standing problem since ancient period. Infertility is defined as a failure to conceive within one or more years of regular unprotected coitus.1 According to WHO, positive reproductive health of a woman is a state of complete physical, mental and social wellbeing and not merely absence of disease related to reproductive system and functions.- In about 10% of cases the infertility investigation will show no abnormalities. In these cases abnormalities are likely to be present but not detected by current methods. Possible problems could be that the egg is not released at the optimum time for fertilization, which it may not enter the fallopian tube, sperm may not be able to reach the egg, fertilization may fail to occur, transport of the zygote may be disturbed, or implantation fails As per Ayurveda, important factors for conception are considered as Rutu (fertile period). Kshetra (uterus and reproductive organs). Ambu (Proper nutrient fluid) and Bija [shukra-sonital and also normalcy of Hrudaya (Psychology). Abnormality of properly functioning Vayu and Shadbhavas (matruja. pitruja, aatmaja. satvaja, satmyaja and Rasaja), anyone of these causes infertility (vandhyatva). From the time immemorial the phenomenon of infertility was prevalent through out the world and this may persist till the human race exists. Every human being has inherent, intense desire to continue his (one's) own race; to become a mother is one of the most cherished desires of every woman. Failure to achieve conception by a couple of mature age. having normal coitus during appropriate period of menstrual cycle regularly. at least for one year of their conjugal is termed as infertility. The historical importance of stree vandhyatva and a comparative study regarding its Njdana, Samprapti. Lakshana. Chikitsa etc compiled from various Granthas are being presented in this paper. As per Ayurveda, Rasayana drugs modulates neuro-endocrino-immunae system. Vajikarana Rasayana is the special category of Rasayana, which improve the reproductive system and enhance sexual function. Vajikarana also claims to have anti stress, adaptogenic actions to alleviate anxiety associated with sexual desire and performance. Some of the formulations are, Bruhani Gutika, Vrushya Gutika, Vajikaranam Ghrutam, Apatyakari Shashtikadi Gutika etc.

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 Keywords

Infertility, Rasayana, Vajikarana

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 Abstract

Breast cancer is causing an alarming increase in the number of deaths each year. It is the most common type of cancer and the leading cause of death in women around the world. Any advancement in cancer illness prediction and detection is critical to living a healthy life. As a result, high accuracy in cancer prognosis is critical for updating therapy aspects and patient survivability standards. Machine learning approaches, which have been shown to have a significant impact on the process of breast cancer prediction and early diagnosis, have become a research hotspot and have been proven to be a powerful technique. On the Breast Cancer Wisconsin dataset, we used five machine learning algorithms: Support Vector Machine (SVM), Random Forest, Logistic Regression, Decision Tree (C4.5), and K-Nearest Neighbors (KNN). The objective of this project is to train machine learning models to predict whether a breast cancer cell is Benign or Malignant. Data will be transformed and its dimension reduced to reveal patterns in the dataset and create a more robust analysis. The optimal model will be selected following the resulting accuracy, sensitivity, and f1 score, amongst other factors. We will later define these metrics. We can use machine learning methods to extract the features of cancer cell nuclei and classify them. It would be helpful to determine whether a given sample appears to be Benign ("B") or Malignant ("M"). The machine learning models that we will apply in this report try to create a classifier that provides a high accuracy level combined with a low rate of false negatives (high sensitivity). This project will make a performance comparison between different machine learning algorithms in order to assess the correctness in classifying data with respect to efficiency and effectiveness of each algorithm in terms of accuracy, precision, sensitivity, and specificity, in order to find the best diagnosis. Diagnosis in an early stage is essential to facilitate the subsequent clinical management of patients and increase the survival rate of breast cancer patients. The major models used and tested will be supervised learning models (algorithms that learn from labelled data), which are most used in these kinds of data analysis..

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 Keywords

Breast Cancer Prediction

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Creative Commons Attribution 4.0 and The Open Definition