Comparative Analysis of Power switches MOFET and IGBT Used in Power Applications

Mangifera Indica, commonly known as mangoes, is the most commercialized export fruit crop in India, accounting for about 40% of the total global production. Due to its widespread production, it is vulnerable to a variety of diseases that affect its yield and resulting in loss. These diseases like Anthracnose, Powdery Mildew, Leaf blights, etc., occur primarily on leaves. As a result, there is a great need for a system that helps in the detection of diseased mango leaves. In this paper, we propose a system that makes use of pre-trained Convolutional Neural Network architecture, the ResNet-50 for the detection of infected mango leaves. The dataset contains 435 images of mango leaves with binary classification as healthy and diseased. These images are pre-processed by resizing them and applying CLAHE. After applying in-place data augmentation on the dataset, the features are extracted using the ResNet-50 model. For the classification process, we make use of fine-tuned head and Machine Learning classifiers such as Support Vector Machine, Gradient Boosting, Logistic Regression, XGBoost, Decision Tree, and K Nearest Neighbour. Among them, the fine-tuned head classifier achieved an accuracy of 97.7%, and Machine Learning classifiers such as SVM, Logistic Regression obtained an accuracy of 100%. The experimental results obtained validate that the system is efficient in its performance of detecting the two classes of mango leaves.

Section: 𝑅𝑒𝑐𝑎𝑙𝑙 = 𝑇𝑃 𝑇𝑃 + 𝐹𝑁mentioning

confidence: 93%

Section: Related Workmentioning

confidence: 99%

Deep Learning and Computer Vision based Model for Detection of Diseased Mango Leaves

Balasundaram

Sivaraman

2022

“…In this paper [6], Congestion control using priority based congestion control -PCCP, Congestion is detected by Priority based Congestion Control using the Degree of congestion, which is calculated as the proportion of time of packet arrival to time of packet service. The intensity of congestion at the sensor node which is congested is defined by the congestion degree.…”

Section: International Journal On Recent and Innovation Trends In Com...mentioning

confidence: 99%

Sectoring Method for Improving Various QoS Parameters of Wireless Sensor Networks to Improve Lifespan of the Network

Patil¹,

Waghole²,

Deshpande³

et al. 2022

The wireless sensor network is set of distributed nodes, which are randomly deployed in sensor field to capture various parameters and send it to receiver station for further analysis and prediction. There are two types of protocols essential for communication. One is MAC protocol and another is routing protocol. Routing protocols are used for finding shortest path between sources to destination. MAC protocols are used for reliable data delivery from source to destination. The design of a reliable wireless sensor network (WSN) must handle the failure of single or many network components, still, because of the deployment of mechanisms to tolerate faults at various levels. the most objective of this paper is to review different existing algorithms proposed by different researchers and merge their work for further study. This paper studies different prototypes and proposed algorithms, and also the objectives of the papers. Also, the paper elaborates on the proposed algorithm within the particular paper together with their objectives. Proposed algorithm is very useful for to reduce heavy congestion over the networks and achieve various parameters of sensor networks.

“…To ensure time and cost efficiency of the project, it is needed that precise information about the progress of the project should be available in a timely manner, but the major concerns that the construction companies are facing is collecting the site data efficiently, analysis of the data and communicate the interpreted data [2]. To mitigate disputes and claims, reworks and unpredicted costs from delays, it is important that inspections should be done on a regular basis so that managers can identify the problems at an early stage and prevent the delays in the tasks and take necessary preventive actions.…”

Section: Introductionmentioning

confidence: 99%

Automated Construction Progress Monitoring of Prefabricated Concrete Structures using Building Information Modeling and Internet of Things

Katiyar

Kumar

2022

The construction industry in India is facing various issues pertaining to low productivity, inefficient management at construction sites, high construction safety risk and lack of information on the status of project. With the development of modern tools and technologies prefabricated construction is becoming more prevalent in the building industry. However, there are many limitations in the actual manufacturing process such as storage, quality checks, installation of the prefabricated components and its status which is due to the lack of real-time information collection and sharing. In order to speed up the construction process and better management and monitoring of the project, this research proposes the framework for integration of Internet of Things (IoT) and Building Information Modeling (BIM). The paper proposes a conceptual framework of an IoT enabled BIM platform to accomplish a real-time visualization in prefabricated concrete structures construction. This is done by using various sensors in the prefabricated components to demonstrate a highly efficient automated progress monitoring system of prefabricated construction.