JCT - Volume 8 Issue 4 (April 2019)

 


Sr/No/ Title Pdf
1 Improvement of performance Solar Domestic Application By Using MPPT And PID Controller
Babita Ichariya and Prof. Alka Thakur

ABSTRACT - Proportional integral derivative controllers are widely used in industrial processes because of their simplicity and effectiveness for linear and nonlinear systems. The PID controller is the most suitable for the human decision-making mechanism, providing the operation of an electronic system with decisions of experts. In addition, using the PID controller for a nonlinear system allows for a reduction of uncertain effects in the system control. In this study, a proportional integral derivative controller and a PID logic controller are designed and compared for a single-axis solar tracking system using an Atmel microcontroller. According to the angle of solar energy, a solar panel is oriented to the side where light intensity is greatest by being designed for the related supervisory controllers. Thus, the aim is to increase the energy obtained from solar panels by providing the specular reflection of the sun’s rays to a solar panel. At the same time, a maximum efficient processing system has been determined by taking account of two controllers for the designed system.
Keywords: DG, ELD, Lambda Iteration, Taboo Search, Newton-Rapshon Method, PSO, EHM and TLBO etc
Page No. 401 - 406

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2 Analyzed A New Type Of Tunnel FET Structure - Junction Less Tunnel FET
Prof. Devendra Patle and Surendra Singh Thakur

ABSTRACT -In the previous decades, dimensions of the metal oxide semiconductor field effect transistor (MOSFET) have continually been scaled down such that the effective channel length is now approaching below 22nm. There would be a large variation in doping concentration of the source/ drain to channel junctions while realizing ultra-sharp source and drain junction in the very small dimension device. The scaling of MOSFET will soon reach its fundamental limits, due to the stern requirements of ultra-sharp drain and source junctions. Recently a brand new transistor has been projected and with successful fabrication, known as junction less field effect transistor (JLFET) that does not need any metallurgical junction. The doping type and concentration of JLFET are equal throughout the drain, channel and source regions, unlike a MOSFET where channel region is doped with different doping concentration compared to the source/drain regions. To achieve SS lower than 60mV/decade at room temperature, alternative transistor has been projected and the most common alternative transistor is the tunnel field effect transistor or tunnel FET (TFET). Alternative transistor such as conventional TFET has better SS than conventional MOSFET but it has low ON-current and fabrication becomes difficult in sub-22nm regime for both conventional TFET and MOSFET. In this paper, we analysed the Double Gate n-type Junction less Tunnel Field Effect Transistor (n-type DG-JLTFET), which gives the combined advantages of both double gate junction less FET and double gate tunnel FET. The DG-n JLTFET is heavily n-type doped Si-channel JLFET, where two isolated gates of different metal work-functions are used, the electrical behaviour of DG-n JLTFET resembles to conventional DG-TFET structure. The primary principle applied here is to transform the equally doped n-type drain, channel and source regions of DG-JLFET into a (N+-I-P+) structure without any physical doping. Science this device is based on the principle of junction less channel, intrinsically it would be less prone to variability and short channel effects (SCEs), as compared to the conventional TFET, even with the requirement of an extra gate, and an isolation layer, and also an extra gate conduct space, which increases few fabrication steps. The simulation results of DG-n JLTFET shows excellent characteristics with high ON-current (ION), low OFF-current (IOFF), high ION/IOFF ratio and a low SS at room temperature for the channel length of 20nm. The astonishing results indicate that junction less tunnel field effect transistor (JLTFET) is a promising candidate for low power and switching application in sub-22nm regime.
Keywords— Junction less Transistor (JLT),ION/IOFF ratio, sub-threes hold swing(ss) etc.
Page No. 407 -413.
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3 A Review on Voice Recognition
Aswathi Menon and Anjali Krishnan

ABSTRACT -Voice processing has emerged as an incredible means of human communication, since speech is the most powerful means of communication. It has found wide variety of applications in the fields of security, medical, military etc. Feature extraction and its classification holds the prominent place in any of the voice recognition systems, as each voice has its own unique characters or features. After all, feature extraction can be considered as the heart of the system. Many feature extraction algorithms have been evolved so far. With the developments in technology, extraction and classification of features from the voice signal has also got improved. This paper provides a review on voice recognition along with MFCC, LPC methods of feature extraction and HMM, DTW classifier models, which are somewhat common techniques used.
Keywords— Feature extraction, Classification, LPC, MFCC, HMM and DTW.
Page No. 414-416 .
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4 Modeling and FEM Simulation of Different Light Weighted Composite Material Spring for Automobiles Production
Neelesh Dwivedi, Dr. Dharmendra Tyagi and Tanmay Awasthi

Abstract— In the research work perform a modeling and simulation of hybrid composite material for leaf spring's in automobile industry. As we all know that leaf springs are the major part of automobile industry. Leaf spring quality improvement is burning topic between different researchers. In this research work focus on increase the life of leaf spring and make it lighter, light weight composite material can be used to manufacture leaf spring. For this analysis using ANYSIS-ANO SOFT software, that is worldwide acceptable for the analysis of different structure. Through analysis it is found that stress generated in carbon fiber- epoxy composite is higher as compared to stress generated in other materials used for the manufacturing of leaf spring at same applied load. Due to high stress generation, deformation in case of carbon fiber epoxy composite is high as compared to other materials. Maximum deformation occurs during maximum stress concentration, which increases the fatigue life of leaf spring. Because of this phenomenon the fatigue life of carbon fiber-epoxy composite is higher as compared to other material considered during analysis. The proposed research analysis based on carbon fiber- epoxy composite based leaf spring shows better properties as compare to other material based leaf composite material.
Keywords—Light Weighted Composite Material, carbon fiber- epoxy composite, Leaf Spring, structural steel and aluminum leaf spring.
Page No. 417-423
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5 A Review on Convolutional Neural Network and Scale Invariant Feature Transform
Neethu Mohan and Arul V H

ABSTRACT - Sound waves or more clearly speech is a mode of communication among human beings and also the most natural and efficient form of communication among human beings. Speech recognition first processes the speech signal, then segmented, extracts the features out of it and classifies it. SIFT is a feature extraction algorithm that exhibits high discrimination and strong robustness and CNN is a neural network used for deep learning. CNN and SIFT are two feature extraction algorithm. This paper highlights various features of convolutional neural network and scale invariant feature transform.
Keywords—ASR, Convolutional Neural network, Scale Invariant Feature Transform
Page No. 316-319 .
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