International Transactions on Electrical Engineering and Computer Science

Energy Management Control for Dual Power Source Powered Electric Vehicle

2021-07-08T10:51:55+00:00

This paper presents a Proposed Energy Management Strategy (PEMS) for an electric vehicle powered by a fuel cell generator with a storage system based on a super capacitor. A PEMS is needed for hybrid sources in order to manage the energy flow from different sources to supply the power train. Thus, for simulating the studied system under two driving cycles, the MATLAB/Simulink has been used. The obtained results proved a good efficiency of the developed PEMS by minimizing as possible fuel consumption of the main power source.

Cuckoo Search Optimization MPPT Technique for Grid Connected Photovoltaic System

2020-12-13T11:39:32+00:00

The PV system is a different model established to encounter the request for electricity essential by numerous services. Primarily the features of any smart grid rest on reliability, performance optimization and efficiency. The planned article comprises of PV system, connected to a DC-DC converter then attached to a DC-link bus again converted to AC using an inverter and then fed to the grid. Optimization technique like Cuckoo Search Optimization MPPT is used to maximize the generated power and the structure is established in the MATLAB environment Simulink. The outcomes indicate the CSO is better compared to the P&O and PSO approaches.

Hybrid Energy Generation System with Brushless Generators

2020-12-25T05:37:45+00:00

Technical and economic problems are connected with the capacity extension of the grid to remote areas. The discovery and usage of interconnected power production using alternative power supply sources has been promoted. This article proposes a fulfillment with the use of Voltage Source Converter (VSC) and brushless generators with a standalone micro grid topology. With numerous Renewable Energy Sources (RES), including solar PV and wind the micro grid device is energized. However, to ensure the system's stability, a Diesel Generator (DG) collection and a Battery Energy Storage System (BESS) are also used. The topology suggested has the benefit of less number of switches and easy power. The structure applied has been fixed as an AC supply by DG. The wind and PV sources are DC sources related to the VSC DC connection. At the DC connection, the BESS is often used to promote the instantaneous equilibrium of power under complex conditions. The VSC further has the potential to alleviate power quality challenges such as harmonics, voltage control and load balancing, in addition to system integration. To illustrate all the capabilities of the proposed method, a good range of Matlab/Simulink yield outcomes are conferred.

CNN Based Wildlife Intrusion Detection and Alert System

2023-03-30T11:02:56+00:00

Wildlife intrusion detection and alert systems are designed to detect and alert wildlife intrusion events, such as animals crossing highways, entering farms or protected areas, and approaching human settlements. This system often uses advanced technologies, such as cameras, sensors, and machine learning algorithms, to detect and identify animal species and behaviors. Convolutional neural networks (CNNs) are a type of deep learning algorithm commonly used for image and video analysis tasks, including object detection and classification. CNNs can learn to extract features from images and videos automatically and accurately, making them well-suited for detecting animals in wildlife intrusion detection systems.

Telugu Dependency Treebank

2023-03-31T03:41:11+00:00

We discuss Telugu Language and Treebanks briefly in this work. Initially, we'll go over the Telugu language briefly. The paninian grammatical model utilized for Telugu dependency representation is then described. Following that, we explain Telugu treebanks and the various formats used to express these treebanks. We also discuss the Telugu language and its representation in the Telugu Dependency Treebank, and we give information on the Telugu language and the Telugu Dependency Treebank. Natural languages are often morphologically rich, and they create sentences in a variety of ways. Researchers have been investigating approaches to annotate text with linguistic knowledge since the advent of machine translation in the 1960s. Previous studies on Indian languages were done at the chunk level. The present shallow parser morphologically parses the input text to the chunk label. Researchers are considering working at the phrase level in the future. They broke the phrases down into smaller parts. The relationship between chunk heads is essential to proceed to sentence-level parsing. This results in reliance parsing.