JCT - Volume 7 Issue 6 (June 2018)

 


Sr/No/ Title Pdf
1 Modified GA based Digital Circuit Complexity Reduction
Amit Pandey, Prof. Neetesh Raghuwanshi and Prof. Komal Kanojiya

ABSTRACT - A Digital circuit is a need of current generation in these days but it has a huge number of outputs. So there is a need of selecting one of the best outputs among all of the outputs. The Genetic algorithm is one of the Artificial Intelligence approaches to simulate the idea of adaptation to the process of evolution and natural selection of nature through the development of computer work. Genetic algorithm is one used by a number of tools that artificial intelligence in problem such as optimization, planning, processing of data, clustering, trend analysis and path finding. The proposed work shows that it is possible to find the maximum output of a digital circuit. The proposed work has been used the genetic algorithm with the help of VHDL implementation. In this dissertation, Optimization of the digital circuit is done on the basis of Genetic Algorithm (GA) for achieving maximum output of the digital circuit in terms of speed. These works have been using some digital circuits and evaluating the maximum output of the circuits using GA. The result has been shown in terms of comparator required and the time required for searching the maximum output. The time taken by proposed work is less than the previous work. There is a large difference between numbers of comparator. Finally the proposed work is better than the previous methods. The overall improvement of both parameters is 78.20 %.
Keywords - Digital circuit, Computational Logic Circuits, Optimization Evolutionary Hardware, Genetic Algorithm (GA) and Xilinx. .
Page No. 01 - 05 .

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2 A Comparative Analysis and Survey on Dynamic Data De-duplication in Cloud
Deepak Kumar#, Prof. Ankita Singh* and Prof. Nitesh Gupta*

ABSTRACT - This Dynamic data is the big problem in big data and clouds. There are different resource available that create duplicate data. In this survey paper discuss the different data duplication avoiding methods. In the last decade there are different data duplication methods are proposed. In this survey paper cover the different method as well as compare those methods. The main problem originate due to data duplication that is bandwidth consumption and space wastage due to same data. To avoid these problem researchers are focus on different data duplication techniques in last decade. Dynamic data duplication avoiding good for bandwidth and space management in big data. .
Keywords— Dynamic Data, Deduplication, Social Media, SaaS, PaaS, IaaS and Cloud Model.
Page No. 01 -06 .
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3 Double Gate junctionless N-Type Tunnel Field Effect Transistor
JAY PRAKASH and DEVENDRA PATLE

ABSTRACT -In the last few decades, dimensions of the metal oxide semiconductor field effect transistor (MOSFET) have continually been scaled down in size such that the effective channel length is approaching less than 22nm. There would be a large variation in doping concentration near 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 source and drain junctions. Recently a new transistor has been proposed and successfully fabricated, called junctionless field effect transistor (JLFET), which does not require any metallurgical junction, and is based on the Lilienfeld's first transistor architecture. 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. The sub-threshold swing (SS) of JLFET is still limited like in a MOSFET, which is 60mV/decade at room temperature; even though the JLFET demonstrates better electrical performance and robust device design compared to the MOSFET. To achieve SS lower than 60mV/decade at room temperature, alternative transistor has been proposed 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 challenging in sub-22nm regime for both conventional TFET and MOSFET. In this paper, we analysed the Double Gate n-type Junctionless Tunnel Field Effect Transistor (n-type DG-JLTFET), which gives the combined advantages of both double gate junctionless FET and double gate tunnel FET. The DG-nJLTFET is heavily n-type doped Si-channel JLFET, where two isolated gates of different metal work-functions are used, the electrical behaviour of DG-nJLTFET 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 junctionless 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-nJLTFET 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 junctionless tunnel field effect transistor (JLTFET) is a promising candidate for low power and switching application in sub-22nm regime.
Keywords— Double Gate Junctionless Transistor (DG-JLT),ION/IOFF ratio, low sub-threshold swing(ss).
Page No. 14-20 .
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4 Thermography based Induction Motor Health Monitoring Analysis
Silas Meshram and Prof. Abhishek Kumar

ABSTRACT -In this thesis work focus on the thermal image based motor rotary fault analysis. Thermal image play an important role to detection the fault in mechanical machines. Also discuss the different previous technology which is used in the thermography. Infrared thermography has been extensively applied over decades to areas similar to maintenance of mechanical installations. Its use in mechanical machines has been primarily circumscribed to the detection of faults in static machines, similar to power plants. In this research paper gives the thermal image based rotary fault detection and gives the proposal for the detection of the thermal image based machine fault analysis.
Keywords— Thermography, Rotatory fault, Machine, RGB, Thermal images and infrared images.
Page No. 01-06 .
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5 Development of High Performance Concrete Using Fly Ash and Recycled Aggregate
Rajeev Mishra and Prof. Dhananjay Yadav

ABSTRACT -There is a growing demand for the development of new type concrete due to its high strength, performance, durability, serviceability and overall economy in long term. High performance concrete meets all of the above criteria to fulfill our needs. This research paper is aimed at developing such High Performance Concrete that can provide the enhanced mechanical strength to the concrete. The concrete made of such strength uses Silica Fume, Recycled Aggregates and Super plasticizers that enhance the concrete properties. In this study the compressive strength and split tensile strength of High Performance Concrete mixtures for different percentage of replacement of cement with silica fume are reported. It is found that maximum increase in compressive strength and split tensile strength is for concrete mix in which 8% silica fume is replaced with cement. Due to these outstanding properties, High Performance Concrete provides new possibilities of lighter and larger structures with economy and resource consumption than that of traditional concrete, steel and other building materials.
Keywords— Fly Ash, Concrete, Recycled Aggregate, Silica Fume, Super plasticizers, River sand.
Page No. 01-05 .
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