MPC based Hybrid Battery and Fuel cell powered PMSM drive for Electric Vehicle Applications

Millions of users worldwide participate in social networking sites. The interactions between users and those social sites, as Facebook and Twitter, have an enormous effect as well as sometimes unwanted impact on daily life. Spammers have become a target platform on the prominent social networking sites to scatter huge amounts of damaging and irrelevant information. Twitter has become one of the best-used platforms of all times also thus permits unreasoning spamming. Fake users send unwanted tweets to users to encourage services or sites that affect not just genuine users, but also disrupt the consumption of resources. The main aim of this study is to identify forged users who harm real users, threaten users’ identity and therefore their safety and privacy. In this paper, suggest to URL based detection plus machine learning techniques has been developed for the detection of malicious users, celebrities as well as malicious users, based on user characteristics. A crawler is developed for Twitter for the purpose of detecting malicious users, celebrities and non-malicious users and celebrities, and data from around 22 K users were collected from public information. For training and testing purposes, data from around 7,500 users were used in machine learning classifications to classify users. On basis of performance metrics like accuracy, recall, F-measurement also accuracy 5 classifiers were used and compared. With a precision of 99.8 percent, Random Forest is above all classifiers.

Twitter Spammer Identification using URL based Detection

Jbara

Mohamed

2020

A Genetic Algorithm (GA)-PID Controller for Temperature Control in Shell and Tube Heat Exchanger

Reddy

Balaji

2020

In Genetic Algorithm tuned PID method for controls the fluid flow in the heat exchanger is presented in this paper. Shell and tube heat exchanger is the most generally utilized types of heat exchanger for heat transfer in many industrial purposes. The exchanger consists of mechanical part and controlling part. Both the modeled to ensure the efficient operation of shell and tube heat exchanger. The mechanical modeling is completely established on the type of applications. The controller only needs the input fluid and output fluid properties such as temperature and flow rate. Hence the primary objective of the paper is to focus on the controller part for enhancing the heat exchanger performance. This paper proposes the Genetic Algorithm tuned-PID controlling technique to make the settling time and overshoot of set point temperature to be less to a greater extent and the results are compared with the conventional PI method with various tuning algorithms [16]. The performance of proposed GA tuned plant has been compared with existing PID controller outputs with the help of MATLAB/Simulink.

Design of Transmission system Layout for an Agriculture Electrical All-Terrain Vehicle

Vamsi

Sheriff

2020

Tractors are consequential mechanical support in the agricultural field. They break down and authoritatively mandates repair components, implementations, and cognizance on how to effect the rehabilitation. They require routine maintenance and clean fuel (fossil fuels or bio-diesel) and cause air pollution and infelicitous disposal leads to contamination of groundwater. The paper explains the design and development of a new transmission system of an electrical ATV(all-terrain vehicles) to satisfies the desiderata in the agriculture sector and to brief the parameters that are to be considered in the development of the new transmission system layout. This paper discusses the motor situating and the selection of the drive layout which satisfies the needs in the agriculture sector and also other necessary factors.