Volume-1 Issue-9, August 2013 – International Journal of Innovative Science and Modern Engineering (IJISME)

I0424081913

IJISME Journal — Fri, 24 Sep 2021 09:46:17 +0000

The International Journal of Innovative Science and Modern Engineering (IJISME) has ISSN: 2319-6386 (online), an open-access, peer-reviewed, periodical monthly international journal. This journal is published by Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP) in January, February, March, April, May, June, July, August, September, October, November and December.The journal aims to publish high-quality peer–reviewed original articles in the area of Science, Engineering and Technology that covers Computer Science and Engineering, Information Technology, Electrical and Electronics Engineering, Electronics and Telecommunication, Mechanical Engineering, Civil Engineering and all interdisciplinary streams of Science, Engineering and Technology. #Smart Computing and Information Processing #Signal and Speech Processing #Image Processing and Pattern Recognition #WSN#Artificial Intelligence and machine learning #Data mining and warehousing #Data Analytics #Deep learning #Bioinformatics #High Performance computing #Advanced Computer Networking #Cloud Computing #IoT #Parallel Computing on GPU #Human Computer Interactions #Recent Trends in Microelectronics and VLSI Design #Process & Device Technologies #Low-Power Design #Nanometer-Scale Integrated Circuits #Application specific ICs (ASICs) #FPGAs #Nanotechnology #Nano Electronics and Quantum Computing #3. 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Bio-conversion of Food Wastes into Vermicompost and Vermiwash
M. M. Manyuchi.¹, A. Phiri.², P. Muredzi³, N. Chirinda⁴
¹Musaida Mercy Manyuchi, Department of Chemical and Process Systems Engineering, Harare Institute of Technology, Belvedere, Harare, Zimbabwe.
²Anthony Phiri, Department of Chemical and Process Systems Engineering, Harare Institute of Technology, Belvedere, Harare, Zimbabwe.
³Perkins Muredzi, Dean, School of Engineering and Technology, Harare Institute of Technology, Belvedere, Harare, Zimbabwe.
⁴Ngoni Chirinda, Director, Technology Center, Harare Institute of Technology, Belvedere, Harare, Zimbabwe.
Manuscript received on September 05, 2013. | Revised Manuscript received on September 11, 2013. | Manuscript published on September 15, 2013. | PP: 1-2 | Volume-1, Issue-10, September 2013. | Retrieval Number: I0424081913/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Vermicomposting technology is the bio-conversion of organic waste into bio-fertilizers using earthworms. Vermicomposting is widely being used for solid waste management. Various food wastes were vermicomposted over 30 days using Eisenia fetida earthworms. Vermicompost and vermiwash were obtained as vermi-products. The vermicompost nitrogen, phosphorous and potassium composition was 2.1%, 0.29% and 0.19% respectively. Whereas, the vermiwash only contained 0.58% nitrogen and 0.47% potassium. Vermicomposting technology is necessary as a food wastes management strategy.
Keywords: Eisenia fetida, food wastes, vermicomposting, vermiwash, vermi-products.

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I0429081913

IJISME Journal — Fri, 24 Sep 2021 09:27:53 +0000

Comparison between SVM and MLP in Predicting Stock Index Trends
Jibendu Kumar Mantri
Dr. Jibendu Kumar Mantri, Department of Computer Science & Engineering, North Orissa University, Baripada, Orissa, India Also Lijuan Cao(2003) derived the effectiveness of the SVMs experts model in stock market M.Sap,etl.
Manuscript received on August 05, 2013. | Revised Manuscript received on August 11, 2013. | Manuscript published on August 15, 2013. | PP: 81-82 | Volume-1 Issue-9, August 2013. | Retrieval Number: I0429081913/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Recently, data mining and time series prediction in financial forecasting has received much research attention. Many techniques are used in prediction on stock and fund trend, volatility, etc. In this paper, two technique of neural network is compared, namely, Support Vector Machine (Support Vector Machine, SVM) and MLP for considering four years of data of Sensex.(Bombay Stock Exchange).
Keywords: SVM, MLP, Volatility

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I0427081913

IJISME Journal — Fri, 24 Sep 2021 09:20:42 +0000

An Advanced Technique of De-Noising Medical Images using ANFIS
Rupinderpal Singh¹, Pankaj Sapra², Varsha Verma³
¹Er.Rupinderpal Singh, Computer Science, Punjab Technical University, CT Institute of Engineering & Management, Jalandhar (Punjab) India.
²Er.Pankaj Sapra, Computer Science, Punjab Technical University, CT Institute of Engineering & Management, Jalandhar (Punjab) India.
³Prof. Varsha Verma, Computer Science Punjab Technical University, CT Institute of Engineering & Management, Jalandhar (Punjab) India.
Manuscript received on August 05, 2013. | Revised Manuscript received on August 11, 2013. | Manuscript published on August 15, 2013. | PP: 75-80 | Volume-1 Issue-9, August 2013. | Retrieval Number: I0427081913/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Noise reduction has been a traditional problem in image processing. Medical images like X-RAY, CT, MRI, PET and SPECT have minute information about heart, brain, nerves etc. These images are corrupted during transmission. When these are corrupted by noise, it is impossible to rescue a human being from harmful effects. Recent wavelet thresholding based denoising methods proved promising, since they are capable of suppressing noise while maintaining the high frequency signal details. However, the local space-scale information of the image is not adaptively considered by standard wavelet thresholding methods. In this thesis, a new type of technique neural network and fuzzy has been proposed. The proposed technique confiscates the Additive white Gaussian Noise from the CT images and improves the quality of the CT images. The proposed work is comprised of three phases; they are preprocessing, training and testing. In the preprocessing phase, the CT image which is affected by the AWGN noise is transformed using multi wavelet transformation. In the training phase the obtained multi-wavelet coefficients are given as input to the Neural Network and Fuzzy System. In the testing phase, the input CT image is examined using this trained Neural Network and Fuzzy System and then to enhance the quality of the CT image thresholding is applied and then the image is reconstructed. Hence, the denoised and the quality enhanced CT images are obtained in an effective manner.
Keywords: Image processing, filters, de-noising, Discrete Wavelet Transform(DCT), neural network, fuzzy logic.

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I0423081913

IJISME Journal — Fri, 24 Sep 2021 09:14:48 +0000

Reusable Test bench for Network on Chip Router using Advanced Verification Methodologies
T Lakshmi Priyanka¹, G .Deepthi², B. Sunil Kumar³
¹T Lakshmi Priyanka, She is Studding M.Tech in Mannan Institute of Science & Technology, Chevella, Ranga Reddy Dist (A.P), India.
²VDeepthi G, Assistant Professor, Dept of ECE, Mannan Institute of Science & Technology, Chevella, Ranga Reddy Dist (A.P), India.
³B. Sunil Kumar :He is Working as Associate professor and Head of Department of ECE in, Mannan Institute of Science & Technology, Chevella, Ranga Reddy Dist (A.P), India.
Manuscript received on August 05, 2013. | Revised Manuscript received on August 11, 2013. | Manuscript published on August 15, 2013. | PP: 70-74 | Volume-1 Issue-9, August 2013. | Retrieval Number: I0423081913/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The focus of this Paper is the actual implementation of Reusable Network On Chip Router IP(Intellectual Property) and verifies the functionality of the five port IP router for System on chip applications using the latest verification methodologies(OVM,UVM,VMM) Hardware Verification Languages (Verilog, System Verilog),EDA tools. The Design of Network on Chip Router Implementing by using Verilog LRM as for Synthesis Environment. This Router design contains Four output ports and one input port, it is packet based Protocol. This Design consists of Registers, FSM and FIFO’s. The Verification goes on it finds functional coverage of the Network on Chip Router by using Verilog ,System Verilog using Questa-Sim 6.5e ,Synthesis is Xilinx ISE 9.2i EDA Tools.
Keywords: System Verilog, Fictional Coverage, assertions, Randomization, FIFO, FSM, Network-On-Chip, Verification Methodologies, Register blocks

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I0421081913

IJISME Journal — Fri, 24 Sep 2021 09:08:33 +0000

A Comparative Analysis to Determine the Optimum Approach for Image Denoising
KalyanChatterjee¹, PrasenjitMaji², Arka Banerjee³, Debarati Das⁴, Manisha Gupta⁵
¹Asst.Prof. Kalyan Chatterjee, Computer Science and Engineering, Bengal College Of Engineering and Technology, Durgapur, India.
²Asst. Prof. Prasenjit Maji, Computer Science and Engineering, Bengal College Of Engineering and Technology, Durgapur, India.
³Arka Banerjee, Information Technology ,Bengal College Of Engineering and Technology, Durgapur, India.
⁴Debarati Das, Information Technology, Bengal College Of Engineering and Technology, Durgapur, India.
⁵Manisha Gupta, Information Technology, Bengal College Of Engineering and Technology , Durgapur, India.
Manuscript received on August 05, 2013. | Revised Manuscript received on August 11, 2013. | Manuscript published on August 15, 2013. | PP: 64-69 | Volume-1 Issue-9, August 2013. | Retrieval Number: I0421081913/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Image denoising demands serious attention and is usually the first and foremost step in any image processing application. Erroneous denoised results lead to improper and inaccurate final results. So it is of prime importance to eliminate the noise from the image to the utmost extent..In this paper an analysis is performed for image denoising by imposing different types of noise on the original image,using a choice of wavelet decomposition techniques and also different feasible thresholding techniques to find the optimum denoised result image and also the best combination involved in the process .
Keywords: Image Denoising, Discrete Wavelet Transformation, Wavelet Decomposition, Wavelet Thresholding

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I0422081913

IJISME Journal — Fri, 24 Sep 2021 08:59:43 +0000

CPLD Implementation of low Power Multi Serial to Ethernet Gateway for UAV Data Acquisition Systems by Using PIC
Revanasiddappa B¹, K. V. Ramana Reddy²
¹Mr. Revanasiddappa B., VLSI Design and Embedded Systems, VTU Extension Center, UTL Technologies Ltd., Bangalore, India
²Asst. Prof. K.V.Ramana Reddy, VLSI Design and Embedded Systems, VTU Extension Center, UTL Technologies Ltd., Bangalore, India.
Manuscript received on August 05, 2013. | Revised Manuscript received on August 11, 2013. | Manuscript published on August 15, 2013. | PP: 59-63 | Volume-1 Issue-9, August 2013. | Retrieval Number: I0422081913/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: An Unmanned Aerial Vehicle (UAV), commonly known as a drone, is an aircraft without a human pilot on board. It’s a flight controlled under the remote of a pilot on the ground. Historically, UAVs were simple remotely controlled aircraft, but day-to-day autonomous control is rapidly being employed. The development of autonomy technology makes UAV to combining information from different sensors like temperature sensor and humidity sensor. The collected information communicated to pc. With the help of camera motion planning determines an optimal path for vehicle to go while meeting certain objectives and constraints. CPLD’s flexible programming features also allow further upgrade for system. Low power, as the multi card solution can come in single CPLD card with smaller modules around it communicating local area number of systems transferring the data from one system to another system. In this project all the components which are using they required maximum 3.3V power supply instead of 5V.
Keywords: Ethernet, PIC, CPLD, UAV, UART, Gateway, Multi serial.

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I0419081913

IJISME Journal — Fri, 24 Sep 2021 08:54:16 +0000

Virtual Differential Storage Based K-Rollback Concurrency Control Algorithm in Distributed Shared Memory Systems
SAbhinav Aggarwal¹, Rupika Srivastava², Sumit Malik³, Kirti Meena⁴, Poonam⁵
¹Abhinav Aggarwal, Department of Computer Science and Engineering, Indian Institute of Technology (IIT) Roorkee, Roorkee, India.
²Rupika Srivastava, Department of Electronics and Computer Engineering, Indian Institute of Technology (IIT) Roorkee, Roorkee, India.
³Sumit Malik, Department of Computer Science and Engineering, Indian Institute of Technology (IIT) Roorkee, Roorkee, India.
⁴Kirti Meena, Department of Computer Science and Engineering, Indian Institute of Technology (IIT) Roorkee, Roorkee, India.
⁵Poonam, Department of Computer Science and Engineering, Indian Institute of Technology (IIT) Roorkee, Roorkee, India.
Manuscript received on August 05, 2013. | Revised Manuscript received on August 11, 2013. | Manuscript published on August 15, 2013. | PP: 52-58 | Volume-1 Issue-9, August 2013. | Retrieval Number: I0419081913/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Most of the algorithms that exist today for concurrency control over distributed shared memory, either fail to provide a scalable model or involve a large communication overhead for establishing consensus over the state of the shared variables. After a thorough study of some of the efficient algorithms this field, this paper introduces a functional view of a holistic approach, which exploits the best features of all others. It provides a virtual differential storage, which allows fast replication and compact storage, along with a strong subversion control over rollbacks in time, which provides better fault tolerance. It also talks of an intelligent logging mechanism, where the read/write records are used actively by the central controller to provide exclusion over Above all, the algorithm is best implemented in LISP or Scheme due to its functional nature. This make the implementation computationally very fast. A trade off, however, exists between the implementation complexity and the quality of the final product.
Keywords: Log, Page, Concurrency, Shared Memory.

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I0418081913

IJISME Journal — Fri, 24 Sep 2021 08:45:51 +0000

Design of Combinational Circuits using Evolutionary Techniques
K. Sagar¹, S. Vathsal²
¹K.Sagar, Department of Computer Science and Engineering, Chitanya Bharathi Institute of Technology, Hyderabad, India
²Dr.S.Vathsal, Head of the Department of E.E.E. and Dean R&D, JBIET, Moinabad, Hyderabad, India.
Manuscript received on August 05, 2013. | Revised Manuscript received on August 11, 2013. | Manuscript published on August 15, 2013. | PP: 47-51 | Volume-1 Issue-9, August 2013. | Retrieval Number: I0418081913/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: With the increasing demand for high quality, more efficient design of logic circuits, the problem of circuit design has become a multi-objective optimization problem. Therefore, there should evolve new methodologies for designing logic circuits. Usually, logic circuits are designed by human beings who have a specific repertoire of conventional design techniques. These techniques limit the solutions that may be considered during the design process in both form and quality. The application of evolutionary algorithms has allowed the creation of circuits which are substantially superior to the best known human designs. Several evolutionary algorithms are applied in design of combinational circuits, namely Genetic Algorithms, Particle Swarm Optimization and Ant colony Optimization techniques. We compared these approaches and produces better performance both in terms of quality of solution and in terms of speed of convergence.
Keywords: Circuit Design, Optimization, Evolutionary Algorithms, Convergence.

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I0417081913

IJISME Journal — Fri, 24 Sep 2021 08:39:43 +0000

Optimization of CNC Turning Process Parameters on ALUMINIUM 6061 using Genetic Algorithm
N. Zeelan Basha¹, G. Mahesh², N. Muthuprakash³¹N.Zeelan Basha, Department of Mechanical Engineering, Adithya Institute of Technology, Coimbatore, Tamil Nadu, India.
²Dr.G.Mahesh, Associate Professor, Department of Mechanical Engineering, EASA College of Engg and Tech, Coimbatore, Tamil Nadu, India.
³N.Muthuprakash, Department of Mechanical Engineering, Ranganathan Engineering College, Coimbatore, Tamil Nadu, India.
Manuscript received on August 05, 2013. | Revised Manuscript received on August 11, 2013. | Manuscript published on August 15, 2013. | PP: 43-46 | Volume-1 Issue-9, August 2013. | Retrieval Number: I0417081913/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: This paper presents the effect of process parameter in turning operation to predict surface roughness. Application of alumunium 6061 can be found in many manufacturing industries such as aircraft and aerospace components, marine fittings, transport, bicycle frames, camera lenses, drive, shafts, electrical fittings and connectors, brake components, valves, couplings. But some of the limitations during machining of aluminum 6061 are lower strength at elevated temperatures and limited formability affects quality of desired output. A lot of parameters that affect the turning operation are vibration, tool wear, surface roughness etc. Among this surface roughness plays a major role which affects the quality in the manufacturing process. This paper presents the effect of process parameter by considering the Spindle speed, Feed rate and Depth of cut. The main objective of this paper is to predict the surface roughness. Aluminium 6061 is taken into a consideration, machining is done by using coated carbide tool. A second order mathematical model is developed using regression technique of Box-Behnken of Response Surface Methodology (RSM) in design expert software 8.0 and optimization carried out by using genetic algorithm in matlab8.0. This study attempts the application of genetic algorithm to find the optimal solution of the cutting conditions.
Keywords: Surface Roughness, Genetic Algorithm, Optimization, CNC Turning Centre.

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I0416081913

IJISME Journal — Fri, 24 Sep 2021 07:43:23 +0000

Modeling and Simulation of Space Vector Pulse Width Modulation based Permanent Magnet Synchronous Motor Drive using MRAS
P. Nagasekhar Reddy
Mr. P. Nagasekhara Reddy, Sr. Assistant Professor, Department of Electrical and Electronics Engineering,MGIT, Hyderabad, Andhra Pradesh, India.
Manuscript received on August 05, 2013. | Revised Manuscript received on August 11, 2013. | Manuscript published on August 15, 2013. | PP: 38-42 | Volume-1 Issue-9, August 2013. | Retrieval Number: I0416081913/2013©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The Permanent Magnet Synchronous Motors (PMSM) is extensively used in low and mid power applications such as robotics, adjustable speed drives, electric vehicles and also in industrial automation. The MRAS is based on the comparison of the outputs of two estimators. The first is independent of the observed variable named as model reference. The second is the adjustable one. The error between the two models feed an adaptive mechanism to turn out the observed variable. This paper presents a detailed modeling of PMSM and a novel space vector pulse width modulation (SVPWM) based control of permanent magnet synchronous motor (PMSM) drive by using a Model Reference Adaptive System (MRAS) for estimating rotor position angle and speed based on a stator current estimator. The three-phase, two-level voltage source inverter (VSI) has a quite simple design and generates a low-frequency output voltage with controlled amplitude and frequency by programming gating pulses at high-frequency. The whole drive system is simulated in Matlab/Simulink based on the mathematical modeling of the system and the results are presented.
Keywords: SVPWM, PI controller, PMSM, model reference adaptive system (MRAS), mathematical modeling, MATLAB, About four key words or phrases in alphabetical order, separated by commas.

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