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Due to increased attraction in cloud computing, mobile devices could store or acquire private and confidential information from everywhere at any point in time. In parallel, the information safety issues over mobile computing become rigorous and retard increased advancements in the mobile cloud. Crucial analysis were performed to enhance the safety in cloud computing. Most of them are not appropriate for mobile cloud computing due to limited energy resource, thus mobile devices are unable to perform assessments and complex tasks. The crucial requirement of mobile cloud application is to provide solution with minimum computational overhead. Thus the aim of the research is to design a trivial information relaying scheme (TIRS) for mobile cloud computing. The proposed scheme implements Ciphertext Policy Attribute-based Encryption (CP-ABE) to alter the general framework of access governance hierarchy to make it appropriate for mobile cloud environment. The TIRS displaces immense segments of the assessment concentrated access governance hierarchy modifications in CP-ABE from smart devices to the peripheral proxy servers. Furthermore, TIRS initiates element portrayal field to plan indolent cancellation which is a thriving dispute for CP-ABE system. The experimental analysis depicts that TIRS successfully minimize the overheads during user relaying information over the mobile cloud environment.

The growth of cloud in modern technology is drastic by provisioning services to various industries where data security is considered to be common issue that influences the intrusion detection system (IDS). IDS are considered as an essential factor to fulfill security requirements. Recently, there are diverse Machine Learning (ML) approaches that are used for modeling effectual IDS. Most IDS are based on ML techniques and categorized as supervised and unsupervised. However, IDS with supervised learning is based on labeled data. This is considered as a common drawback and it fails to identify the attack patterns. Similarly, unsupervised learning fails to provide satisfactory outcomes. Therefore, this work concentrates on semi-supervised learning model known as Fuzzy based semi-supervised approach through Latent Dirichlet Allocation (F-LDA) for intrusion detection in cloud system. This helps to resolve the aforementioned challenges. Initially, LDA gives better generalization ability for training the labeled data. Similarly, to handle the unlabelled data, Fuzzy model has been adopted for analyzing the dataset. Here, pre-processing has been carried out to eliminate data redundancy over network dataset. In order to validate the efficiency of F-LDA towards ID, this model is tested under NSL-KDD cup dataset is a common traffic dataset. Simulation is done in MATLAB environment and gives better accuracy while comparing with benchmark standard dataset. The proposed F-LDA gives better accuracy and promising outcomes than the prevailing approaches.

This paper proposes, demonstrates, and describes a basic T-shaped Multi-Input and Multi-Output (MIMO) antenna with a resonant frequency of 3.1 to 10.6 GHz. Compared with the U-shaped antenna, the mutual coupling is minimized by using a T-shaped patch antenna. The T-shaped patch antenna shapes filter properties are tested to achieve separation over the 3.1 to 10.6 GHz frequency range. The parametric analysis, including width, duration, and spacing, is designed in the MIMO applications for good isolation. On the FR4 substratum, the configuration of MIMO is simulated. The appropriate dielectric material ɛr = 4.4 is introduced using this contribution and application array feature of the MIMO systems. In this paper, FR4 is used due to its high dielectric strength and low cost. For 3.1 to 10.6 GHz and 3SRR, T-shaped patch antennas are used in the field to increase bandwidth. The suggested T-shaped MIMO antenna is calculated according to the HFSS 13.0 program simulation performances. The antenna suggested is, therefore, a successful WLAN candidate.

Lessening power consumption during the test and reducing test time are the main goals of this paper. The power consumption is a major problem of movable equipment which needs large working time and minimum charging time. Power consumption has become significant in handheld communication structures and battery functioned gadgets such as laptops, mobile phones, pacemakers, multimedia goods and cellular phones. Reducing the power consumption is very important scenario which is becoming popular in the electronics industry for test power reduction and one of the popular interesting areas of research insights. The scan chains are long connected chain of flip flops normally made to simplify the testing and monitoring test of the circuit by allowing the user to shift out the scan in data and produce new values for comparison. The scan chain architecture is designed using a chain of flip-flops. These flip-flops are made design for testability by introducing a multiplexer before the input terminal. The multiplexer chooses single input, may be the normal input bit or the test mode bit. The circuit is designed in order to reduce the average power consumed by the circuit. The circuit is designed using Altera Quartus II Tool and the outputs were analyzed. The circuit is analyzed for various working conditions and also for various factors which affects the testing time and the testing power.

Multi-Input Multi-Output (MIMO) is the need for recent communication system for the enhancement of channel capacity. While the number of antenna array elements increased, the spacing between the array elements and size of the antenna reduced. Hence high coupling between the elements occur, and thus the channel capacity reduced. There were several existing methods employs, however there were some limitations like reduced gain, dielectric constant, and bandwidth. So as to overcome this and to increase the performance characteristics such as bandwidth, gain of MIMO antennas and to lessen the dielectric constant of substrate material this proposed scheme is introduced. Using these considerations and requirements, an array of two-element MIMO system will be designed and developed with a less dielectric material (εr<4). So in this Taconic RF-35 (dielectric constant is 3.5), Two T-Shaped antennas are employed for 2.45 GHz (ISM band) with multiple modes of operation to achieve the improved bandwidth of about − 10 db. Simulation is done by HFSS 13.0.

Automatic License Plate Recognition (ALPR) systems are important in Intelligent Transportation Services (ITS) as they help ensure effective law enforcement and security. These systems play a significant role in border surveillance, ensuring safeguards, and handling vehicle-related crime. The most effective approach for implementing ALPR systems utilizes deep learning via a convolutional neural network (CNN). A CNN works on an input image by assigning significance to various features of the image and differentiating them from each other. CNNs are popular for license plate character recognition. However, little has been reported on the results of these systems with regard to unusual varieties of license plates or their success at night. We present an efficient ALPR system that uses a CNN for character recognition. A combination of pre-processing and morphological operations was applied to enhance input image quality, which aids system efficiency. The system has various features, such as the ability to recognize multi-line, skewed, and multi-font license plates. It also works efficiently in night mode and can be used for different vehicle types. An overall accuracy of 98.13% was achieved using the proposed CNN technique.

This paper presents the simulation and harmonic analysis of impedance source inverter and multi level inverter for variable speed wind driven renewable energy conversion system. The output voltage of wind driven self - excited induction generator (SEIG) is depending on the wind velocity fluctuations, self excitation capacitance value and load variations. The minimum and maximum values of the excitation capacitor banks to satisfies the reactive power burden requirements. The improved power electronic converters like impedance source inverter and multi level inverter are interface with the wind driven self - excited induction generator (SEIG). By controlling the shoot through state or boost factor of impedance source inverter (ZSI), the variable magnitude, variable frequency voltage of the induction generator can be controlled. The comparative analysis of this two inverters are discussed.

This paper describes the simulation model and the harmonics analysis of multi level inverters fed RL load and induction motor load. The SEIG fed H- bridge multi level inverter (MLI) for variable speed wind energy conversion systems are considered for various stand alone applications. In this paper, the SEIG fed cascaded five levels inverter for induction motor load systems are clearly explained with the help of MATLAB / SIMULINK models. The generated voltage of the wind driven self - excited induction generator (SEIG) is mainly depending on the wind velocity fluctuations, appropriate capacitance values and load conditions. The five levels cascaded inverter has interface with the wind driven self - excited induction generator (SEIG). The variable magnitude, variable frequency voltage of the generator can be controlled by choosing the proper modulation index. The simulation and harmonic analysis of the proposed inverter will be discussed and the total harmonic distortion will be evaluated. [PUBLICATION ABSTRACT]