Volume 9 | Issue 7 |

 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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

AACHARY RAJANITI KE SEKSHIK VICHARO KA SAMAJIK

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

AACHARY RAJANITI KE SEKSHIK VICHARO KA SAMAJIK

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

EdTech, catalyst, upskilling, infrastructure, startup, boom

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

ICT, Gram Panchayat, Web Application, Server

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The feasibility problem is the problem of finding a point in S. The convex optimization problem is the problem of minimizing a convex function over S. We present a new algorithm for the feasibility problem. The notion of a volumetric center of a polytope and a related ellipsoid of maximum volume inscribable in the polytope are central to the algorithm. Our algorithm has a significantly better global convergence rate and time complexity than the ellipsoid algorithm. The algorithm for the feasibility problem easily adapts to the convex optimization problem.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Ellipsoid method, convex optimization problem, linear programming.

  License

Creative Commons Attribution 4.0 and The Open Definition