Volume 9 | Issue 7

 Abstract

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 Keywords

Oxiconazole, methanol , UV Spectrophotometer, Method development and Validation

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Human Action Recognition is an imperative research area in the field of computer vision due to its numerous applications such as person surveillance, human to object interaction, etc. Human Action Recognition is based on a pre-trained CNN model for feature extraction. Convolutional neural networks (CNN) is a technique of deep learning. Most convolutional neural networks used for recognition task are built using convolution and pooling layers followed by a few number of fully connected layers and identifying similar patterns in an interval to recognize the action by providing accuracy of 79-90% based on the task.

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 Keywords

Image capturing,Segmentation,Action Recognition,Captioning and speech output

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 Abstract

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plastic roads, economical, Kashmir , Snow

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Ruskin Bond, Uttarakhand's ' very own resident Wordsworth in prose' lives in close proximity with Nature. He has grown and evolved with Nature and has witnessed and experienced drastic changes taking place all around him. In the book he not only records the mesmerizing experiences with Nature but also the fury of Nature which when unleashed proves catastrophic!

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Kaleidoscopic Vision Of The Himalayas

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Protein intake and its effect on muscle mass is one of the most popular topics talked about especially for athletes and training individuals. They are the ones responsible for the growth and hypertrophy of muscles and this has a great impact on the performance. Our study aimed to determine the effect of protein intake on muscle mass among vegetarian and non-vegetarian sports personnel between the age group of 15-30 years in Mumbai. A study was conducted with 30 athletes, involved in training. The objectives were to evaluate the protein intake and to estimate the muscle mass of vegetarian and non-vegetarian sports personnel and compare the effect of protein intake on the muscle mass of vegetarian and non-vegetarian sports personnel. The subjects were assessed using an online questionnaire. Protein intake was analysed using the Food Frequency Questionnaire, which had all the food groups that are rich in protein content. A video tutorial was attached to the questionnaire that showed how to measure the Waist-to-Height ratio by Ashwell. The results of the questionnaire said that the Waist-to-Height ratio on average was 0.4 to 0.5 which is Appropriate. The statistical analysis revealed that, out of the total population, 75% of the population was vegetarian, 15% were non-vegetarian and the rest were vegan. Toor dal was the most common dal option that most athletes had every day. Milk was the preferred source of dairy every day followed by curd, paneer and cheese for 3 days a week. Nuts and oilseeds were also an important source of protein. Almonds and Walnuts were preferred. Eggs followed by Chicken were taken by the Non-Vegetarian population. It was seen that the protein intake of the athlete and his muscle mass are very closely related. To support the growth of muscle mass, some individuals are also ingesting protein supplements. Good quality protein plays a significant role in improving the muscle mass of sports personnel.

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 Keywords

Vegetarian diet, Muscle mass, Protein quality.Waist-to-Height ratio

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In the present world, IoT is changing the infrastructure of technologies. By facilitating effortless interaction among various modules, IoT has enabled us to implement various complex systems such as smart home appliances, smart traffic control systems, smart office systems, smart environment, smart vehicles and smart temperature control systems and so on in very little space. Increase in covid situation there are many ways that the technology can be used to monitor this situation. So, in this project we are implementing the models for covid testing booth, social distance monitoring and health monitoring. IoT based covid testing booth and social distance monitoring allows us to manage the peoples entering into the booth and standing in queue. Internet of Things (IoT) based smart health monitoring system is a patient monitoring system in which a patient can be monitored 24 hours. Health monitoring systems are one of the most notable applications of IoT.

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 Keywords

Covid Monitoring System, Internet of Things (IoT), Cloud Server, https Port, WIFI Network.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Religious Pluralism, Truth, Swami Vivekananda, Eclectic Hermeneutics, Neo-Vedanta, All Religions are True

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Visitor Counter, Bidirectional Count, Arduino UNO, Node MCU, LCD Display, Sensor system, Temperature control system, Solar Panel.

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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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Bifonazole, Method development, UV Spectrophotometer, Validation

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Cystic fibrosis diagnosis, Sweat Chloride testing, New-born screening, Chloride-level quantification

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Creative Commons Attribution 4.0 and The Open Definition

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 Abstract

The insect pest occurred in cabbage were aphid (Lipaphis erysimi), Diamond backmoth, cabbage butterfly and natural enemies like Cotesia plutella, Syrphid fly, Coccinellid beetle. The population of aphids showed non-significant positive correlation with minimum and maximum temperature, morning and evening relative humidity. The population of Diamond back moth showed non- significant positive correlation with minimum and maximum temperature, non significant negative correlation with relative humidity. The population of cabbage butterfly showed non- significant positive correlation with maximum and minimum temperature but non- significant negative correlation with morning and evening relative humidity. The population of Cotesia plutella showed non significant negative correlation with maximum temperature and non significant positive correlation with minimum temperature, significant negative correlation with morning relative humidity and non significant negative correlation with evening relative humidity. The population of Coccinellid beetle showed non-significant positive correlation with maximum temperature, significant positive correlation with minimum temperature, significant negative correlation with morning and evening relative humidity. The population of Sryphid fly showed significant positive correlation with maximum temperature, non-significant positive correlation with minimum temperature, non significant negative correlation with relative humidity.

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Aphids, Diamond backmoth, Cabbage butterfly, Sryphid fly, Coccinellid beetle

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ABSTRACT: Nanoemulsion drug delivery systems are advanced modes for delivering and improving the bioavailability of hydrophobic drugs and the drug which have high first pass metabolism. The nanoemulsion can be prepared by both high energy and low energy methods. High energy method includes high-pressure homogenization, microfluidization, and ultrasonication where as low energy methods include the phase inversion emulsification method and the self-nanoemulsification method. Low energy methods should be preferred over high energy methods as these methods require less energy,so are more efficient and do not require any sophisticated instruments. However high energy methods are more favorable for food grade emulsion as they require lower quantities of surfactant than low energy methods. Techniques for formulation of nanoemulsion drug delivery system are overlapping in nature, especially in the case of low energy methods. In this review, we have classified different methods for formulation of nanoemulsion systems based on energy requirements, nature of phase inversion, and self-emulsification.

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nanoemulsion, drug delivery, high energy method, low energy method, phase inversion methods

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The paper is based on the prediction of various water borne diseases like Cholera and Typhoid. To do this we are using pH and temperature sensor. This will help us to save many lives due to water borne diseases. We are taking the inputs from the sensor and passes it to the device to analyze the quality of water and predict the percentage of people can be affected by various diseases with the help of machine learning algorithms.

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 Keywords

Sensors, IoT, Drinking water, Water Disease classification, Dataset, Machine learning.

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Performance and security are two critical functions of wireless ad-hoc networks (WANETs). Network security ensures the integrity, availability, and performance of WANETs. It helps to prevent critical service interruptions and increases economic productivity by keeping networks functioning properly. Since there is no centralized network management in WANETs, these networks are susceptible to packet drop attacks. In selective drop attack, the neighboring nodes are not loyal in forwarding the messages to the next node. It is critical to identify the illegitimate node, which overloads the host node and isolating them from the network is also a complicated task. In this paper, we present a resistive to selective drop attack (RSDA) scheme to provide effective security against selective drop attack. A lightweight RSDA protocol is proposed for detecting malicious nodes in the network under a particular drop attack. The RSDA protocol can be integrated with the many existing routing protocols for WANETs such as AODV and DSR. It accomplishes reliability in routing by disabling the link with the highest weight and authenticate the nodes using the elliptic curve digital signature algorithm. In the proposed methodology, the packet drop rate, jitter, and routing overhead at a different pause time are reduced to 9%, 0.11%, and 45%, respectively. The packet drop rate at varying mobility speed in the presence of one gray hole and two gray hole nodes are obtained as 13% and 14% in RSDA scheme.

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Mobile Ad hoc Networks (MANETs), Colluding adversaries, Packet Drop Attack, Audit based detection.

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To Design and develop a low-cost air pollution monitoring system. The proposed system alert workers, notify data of polluted area that has been checked for the immediate surroundings. The proposed system has various parameters such as Air Quality, Temperature and Humidity sensors with ESP32 microcontroller which collects and upload data into the cloud using ESP32 Wi-Fi module. The data is transmitted to the cloud platform using MQTT(Message queuing Telemetry Transport) protocol and alerts the user through an application. The proposed system has various applications like in industry where the pollution levels check of dangerous gasses is paramount. Further pollution information is used to alert the workers about the air quality in their surroundings are not good for health.

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Internet of Things, Blynk, Arduino, arduino IDE, sensors, Air pollution

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

AACHARY RAJANITI KE SEKSHIK VICHARO KA SAMAJIK

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AACHARY RAJANITI KE SEKSHIK VICHARO KA SAMAJIK

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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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EdTech, catalyst, upskilling, infrastructure, startup, boom

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Moringa, Millets, Dosa Mix, Food Product Development, Gluten Sensitivity, Sensory Evaluation.

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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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ICT, Gram Panchayat, Web Application, Server

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Creative Commons Attribution 4.0 and The Open Definition