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VOLUME 5, ISSUE 10, OCTOBER 2017
Diagnosis of Breast Cancer by Combining the Perceptron Neural Network Data Mining Techniques and Artificial Immune System
Esmat Banihashem, Touraj Banirostam
Voice Operated Intelligent Fire Extinguisher Vehicle with Water Jet Spray
Meena Kumari, Mrs. Shimi S.L
Voice Operated Intelligent Fire Extinguisher Vehicle
Meena Kumari, Mrs. Shimi S.L
Regenerative Braking System for Energy Harvesting from Railways and Vehicles: A Review and an Approach
Kapil Chalkhure, Shivani Jijankar, Anand Dhore, Arti Sanganwar, Prof. Vikramsingh R. Parihar
Two Factor Authentication Based Access Control
Mahendra Vignesh Somu, Narendhar Singh D
Performance evaluation for Adaptive Particle Swarm Optimization over Classical Particle Swarm Optimization
Ashish Garg and Rajeev Shukla
An Overview of Small Hydro Power Generation Scenario in India
Ved Prakash Verma, Viveksheel Verma, Umesh C. Rathore
New Dynamic Model for Gas Power Plants for Increasing Wind and Solar Energy in the Egyptian Power System
Ibrahim A. Nassar, Mahmoud M. Abdella
Robust Controller Design for Non-Minimum Phase Zero Systems Using Algebraic Approach and Pole Placement method
P. Ravi Teja, B. Amarendra Reddy
Neural Network for Detecting Anterior Osteophytes
N. B. Sambre, V. R. Udupi
ATPG Technique for Testing Circuits Using PRNG Algorithm
Vaishali S.Pande, Sandip S.Pande
Two Stage PFC Boost Doubler with Interleaved Control Scheme
K Iswarya Lakshmi, M Shanthi
Accident Control System Using Ultrasonic Sensor
Najbin Momin, Dr.M.S.Patil
Paper Based Piezoresistive Sensor Using MEMS
Prof G Mallikarjuna Rao, Pavani Kollamudi
Hybrid Model for Privacy Preservation Using Clustering and Classification Technique
Priyank Pathak, Rajat Paliwal, Chetan Grawal
Label Dependency Elimination in Multi-Label Classification Based On Feature and Teacher Learning Optimization
Rohit Tiwari, Shivank kumar soni, Chetan Agrawal
Arithmetic Coder Architecture used in SPIHT image compression
Rahila I. Mulla, Prof. Ms. R.R. Jagtap
Abstract
Diagnosis of Breast Cancer by Combining the Perceptron Neural Network Data Mining Techniques and Artificial Immune System
Esmat Banihashem, Touraj Banirostam
DOI: 10.17148/IJIREEICE.2017.51001
Abstract: Breast cancer is one of the most common cancers with a high mortality rate among women, which is the most common cause of death in the female population. Early diagnosis of breast cancer increases patient's chance of survival from 56% to over 86%. In this paper we used from new method NNCAISi that combination of two perceptron neural network algorithm and artificial immune system algorithm for more accurate diagnosis of tumors in breast cancer. In the combined model artificial neural network weights are trained by artificial immune algorithm and the best antibodies in the memory cell are returned as the optimized weight to the neural network. The data sets that used is from the University of California UCI website and the results are evaluated with three criteria for accuracy, precision and recall and it is compared and evaluated with some other algorithms.
Keywords: breast cancer, data mining, perceptron neural network, artificial immune system.
Keywords: breast cancer, data mining, perceptron neural network, artificial immune system.
Abstract
Voice Operated Intelligent Fire Extinguisher Vehicle with Water Jet Spray
Meena Kumari, Mrs. Shimi S.L
DOI: 10.17148/IJIREEICE.2017.51002
Abstract: This paper shows the investigation and use of voice operated fire extinguisher vehicle with water jet spray. The vehicle is controlled through related talk input. The vernacular information allows a customer to team up with the robot which is unmistakable to an extensive segment of the overall public. The upsides of voice operated robots are sans hands and fast data input operations. The voice affirmation structure is set up in a way that the robot is controlled in perspective of the rule through the Speech Commands. The whole structure contains three subsystems, the discourse acknowledgment framework, transmitter range besides, the authority fragment (on vehicle). The results exhibit that proposed robot is prepared for controlling fire, sidestepping obstacles in addition, perception the significance of speech requests.
Keywords: Speech controlled robot, speech controlled fire extinguisher.
Keywords: Speech controlled robot, speech controlled fire extinguisher.
Abstract
Voice Operated Intelligent Fire Extinguisher Vehicle
Meena Kumari, Mrs. Shimi S.L
DOI: 10.17148/IJIREEICE.2017.51003
Abstract: This paper exhibits the exploration and usage of voice operated fire extinguisher vehicle. The vehicle is controlled through associated discourse input. The dialect input permits a client to collaborate with the robot which is recognizable to a large portion of the general population. The upsides of discourse actuated robots are sans hands and quick information input operations. The discourse acknowledgment framework is prepared in a manner that the robot is controlled in view of the guideline through the Speech Commands. The entire framework comprises of three subsystems, the speech recognition system, transmitter area furthermore, the collector segment (on vehicle) . The outcomes demonstrate that proposed robot is equipped for controlling flame, evading obstructions what's more, comprehension the importance of speech orders.
Keywords: Speech controlled robot, speech controlled fire extinguisher.
Keywords: Speech controlled robot, speech controlled fire extinguisher.
Abstract
Regenerative Braking System for Energy Harvesting from Railways and Vehicles: A Review and an Approach
Kapil Chalkhure, Shivani Jijankar, Anand Dhore, Arti Sanganwar, Prof. Vikramsingh R. Parihar
DOI: 10.17148/IJIREEICE.2017.51004
Abstract: This paper presents an overview and an approach of regenerative braking system for energy harvesting from railways and vehicles. In this paper. after a brief introduction, the focus is on literature review wherein we have studied 15 papers related to the topic and have successfully analyzed them. On the basis of the literature review, we have proposed a system which can offer higher economic benefits by lowering the operation costs of supplying energy to train stations. The topology and the control strategy for battery chargers on high-speed electric trains are also discussed.
Keywords: Regenerative braking system, energy harvesting, regenerative mechanisms
Keywords: Regenerative braking system, energy harvesting, regenerative mechanisms
Abstract
Reactive Power Flow Controller
Dr. Deepak P. Kadam
DOI: 10.17148/IJIREEICE.2017.51005
Abstract: Wind energy’s presence in the electric power system has dramatically grown over the past decade and will continue to grow worldwide as many countries have planned future developments. As wind power penetration into the grid increases, the influence of wind farms on the power system operation is becoming more and more important [1]. Wind power is gaining momentum in the world’s energy balance. Several issues have to be addressed whenever power- generating devices are interfaced to the grid. Two of the main requirements are reactive power control in normal operation conditions and fault ride-through capability during fault conditions. The main purpose of normal operation requirements is to maintain the voltage between admissible limits both for security and power quality purposes. Since reactive power cannot be transmitted over long distances, it has to be provided locally. Therefore, in grid connection specifications, wind farms are generally required to contribute to reactive power control. Concerning fault condition requirements, they are aimed at avoiding as much as possible the loss of generation capacity in case of a fault in the transmission grid. Power system operators ensure the quality and reliability of supply to the customers by maintaining the load bus voltage in their permissible limits. Any changes to the system configuration or in power demands can result in higher or lower voltages in the system. This situation can be improved by reallocating reactive power generations in the system [5]. This paper presents the setting of FACTS devices like STATCOM as additional control parameters in the optimization of reactive power dispatch and studies the impact on system loss minimization. This proposed work is carried out in offline full-scale simulations in PSCAD simulation software. This paper concludes that STATCOM at the grid connection point can mitigate reactive power, improve voltage profile.
Keywords: STATCOM, Reactive Power Dispatch, PSCAD.
Keywords: STATCOM, Reactive Power Dispatch, PSCAD.
Abstract
Two Factor Authentication Based Access Control
Mahendra Vignesh Somu, Narendhar Singh D
DOI: 10.17148/IJIREEICE.2017.51006
Abstract: In this digital era, confidential information can be accessed by third parties easily who use it to their advantage without being known. Safeguarding confidential information and avoiding security breaches becomes an arduous task. A Two Factor Authentication System has been proposed which involves combination of fingerprint and One Time Password (OTP). A web page is used to display the user authentication status. A web server is used to store authentication information of various user’s which can be downloaded and viewed.
Keywords: Two Factor Authentication System, fingerprint, One Time Password (OTP), web page, web server.
Keywords: Two Factor Authentication System, fingerprint, One Time Password (OTP), web page, web server.
Abstract
Performance evaluation for Adaptive Particle Swarm Optimization over Classical Particle Swarm Optimization
Ashish Garg and Rajeev Shukla
DOI: 10.17148/IJIREEICE.2017.51007
Abstract: The application of the Particle Swarm Optimization (PSO) algorithm successfully applied to wide range of engineering problems. In very recent this algorithm becomes very popular due to its simplicity and effectiveness. Researchers have explored PSO algorithm and made it adaptive with dynamic problem and these modified algorithm called as Adaptive Particle Swarm Optimization (APSO) algorithm. APSO algorithm is explored in this paper. The choice of this algorithm is made over Classical Particle Swarm Optimization (CPSO) and this is explained for different benchmark functions as Test functions. In order to find out global minima APSO showed very good performance for these Test functions. This algorithm can be successfully applied to various digital communication systems for improving performance.
Keywords: Test Function; Particle swarm optimization; Adaptive particle swarm optimization;
Keywords: Test Function; Particle swarm optimization; Adaptive particle swarm optimization;
Abstract
An Overview of Small Hydro Power Generation Scenario in India
Ved Prakash Verma, Viveksheel Verma, Umesh C. Rathore
DOI: 10.17148/IJIREEICE.2017.51008
Abstract: This paper presents the scenario of electricity generation in India using various renewable sources especially small hydro. Among various renewable energy sources, small hydro contributes about 15% of the total electricity generation in India. The country is looking for green energy by maximising the harnessing of small hydro power potential available in abundance. About more than 15000MW of small hydropower potential is available in India mostly in Himalayan region. Small hydro power plants (SHPP) are considered as reliable option for both grid and decentralized power generation modes. This paper also presents the technical challenges associated with the development of SHPP like selection of generator and turbine. Various standards related to equipments used in small hydro power plants have also been covered. Different policies of Indian Government related to power generation using renewable energy sources have also been covered in this paper.
Keywords: Small hydro power plant, Hydro generator, Hydro turbine, Watermills.
Keywords: Small hydro power plant, Hydro generator, Hydro turbine, Watermills.
Abstract
New Dynamic Model for Gas Power Plants for Increasing Wind and Solar Energy in the Egyptian Power System
Ibrahim A. Nassar, Mahmoud M. Abdella
DOI: 10.17148/IJIREEICE.2017.51009
Abstract: The Strategy of the Egyptian Electricity Holding Company (EEHC) aims to increase the proportion of power totally generated from renewable energy wind power (WP) and photovoltaic (PV) to 20% by 2022. With increasing such amount of renewable energy in the Egyptian electricity system some of the on line conventional power plants will be shut down and replaced by WP and PV, putting the Egyptian system in big challenge. So, the dynamic behavior of on line conventional power plant must be illustrated to fulfill the requirement of integrating renewable energy in the Egyptian system, especially for system contingencies. This research aims to identify a new dynamic model for gas power plants in the Egyptian power system so that they can be reliable basis for further use. A site visit to three different real gas power plants in the Egyptian network enables the paper to apply the study. The first study is applied on SGT5-4000F (V94.3A) Siemens Gas power plant in Nobaria Station in West-Delta Zone, while the second is AE94.2 Ansaldo Gas power plant in Mahmodia Station in Delta Zone and the third is MS9001FA Hitachi Gas power plant in El-Atf station in Middle-Delta Zone. The comparison between actual and simulated MW response of each turbine is investigated due to load variation. The simulation is made by DIgSILENT Power Factory Software.
Keywords: Gas Turbine, Turbine-Governor Model.
Keywords: Gas Turbine, Turbine-Governor Model.
Abstract
Robust Controller Design for Non-Minimum Phase Zero Systems Using Algebraic Approach and Pole Placement method
P. Ravi Teja, B. Amarendra Reddy
DOI: 10.17148/IJIREEICE.2017.51010
Abstract: The non minimum phase systems are difficult to control because of RHP zero. This paper the robust controllers are designed for non-minimum phase systems based on algebraic approach and pole placement approach. The controller coefficients are calculated from general solutions of Diophantine equations. The robustness of the controller are verified in simulation in the mat lab environment to show the effectiveness of these designed controllers rejecting disturbances and also in alternating the noise characteristics. Time domain and frequency domain simulations are performed on the non-minimum phase systems.
Keywords: Algebraic approach, robust control, Non-minimum phases zeros, pid controllers, Pole placement method.
Keywords: Algebraic approach, robust control, Non-minimum phases zeros, pid controllers, Pole placement method.
Abstract
Neural Network for Detecting Anterior Osteophytes
N. B. Sambre, V. R. Udupi
DOI: 10.17148/IJIREEICE.2017.51011
Abstract: Development of a computer vision system to identify degenerative disorder of the spine is a challenging task. An x ray image shows the features associated with these disorders. Manual analysis from observation of the x rays can be prone to errors due to the low contrast of the x rays images as well as variability in visual judgment from person to person. In this paper a neural network based approach for detection of osteophytes is investigated. Convex hull features of the segmented vertebrae are determined by image processing technique. The network is trained by conjugate gradient descent back propagation algorithm and tested on a set of vertebrae images. After the initial manual assistance in formation of template and the training of the network, the system becomes automated for real time detection of anterior osteophytes.
Keywords: Anterior Osteophyte, x-ray, segmentation, Neural Network, back propagation.
Keywords: Anterior Osteophyte, x-ray, segmentation, Neural Network, back propagation.
Abstract
ATPG Technique for Testing Circuits Using PRNG Algorithm
Vaishali S.Pande, Sandip S.Pande
DOI: 10.17148/IJIREEICE.2017.51012
Abstract: An Automatic test pattern generation technique using a pseudo-random number generator algorithm for testing combinational circuit is proposed. Rather than targeting a single fault pair at a time, the proposed System approach can distinguish multiple fault pairs in a single instance. For generation of automatic multiple non-repeating inputs which is used for testing the combinational circuit Pseudo-random generator can be used. New approaches are needed to reduce execution time and to improve fault coverage.
Keywords: PRNG-Pseudo-random number generator; ATPG; Algorithm; Testing; Fault distinguishing
Keywords: PRNG-Pseudo-random number generator; ATPG; Algorithm; Testing; Fault distinguishing
Abstract
Two Stage PFC Boost Doubler with Interleaved Control Scheme
K Iswarya Lakshmi, M Shanthi
DOI: 10.17148/IJIREEICE.2017.51013
Abstract: A diode bridge with two power switches is employed as a PFC circuit to achieve a high power factor and low line current harmonic distortion. Interleaved Control Scheme (ICS) scheme with PI voltage controller and PI current controller is used to generate three-level PWM on the dc side of diode rectifier. Based on the control scheme, the line current is driven to follow the sinusoidal current command which is in phase with the supply voltage, and the output voltage is found to be balanced. At rated power, the source current THD value is less than 5% when PI as voltage and current controller in the ICS.
Keywords: ICS, THD, HCC, PWM, PI, Power Factor, Total Harmonic Distortion (THD), Dual boost converter, Boost doubler
Keywords: ICS, THD, HCC, PWM, PI, Power Factor, Total Harmonic Distortion (THD), Dual boost converter, Boost doubler
Abstract
Accident Control System Using Ultrasonic Sensor
Najbin Momin, Dr.M.S.Patil
DOI: 10.17148/IJIREEICE.2017.51014
Abstract: The main objective of the develop system is to avoid accident by giving indication through lamp or buzzer. Accidents can occur anywhere, anytime therefore it is necessary to develop a system to avoid accidents. Now-a-days accidents are happening more frequently due to globalization, lack of attention, drowsiness, fast speed of vehicles. On the curved road vehicles of one side cannot predict that vehicles are coming from other side due to this accidents can happen. To overcome this problem the system has been developed in a simple manner using microcontroller, ultrasonic sensors. This proposed system gives indication of vehicles coming from opposite side by using two lamps on both sides of road. This system plays an important role in avoiding the road accidents.
Keywords: Accident, Ultrasonic sensor (HC-SR04), Controller (ATMega328), Arduino.
Keywords: Accident, Ultrasonic sensor (HC-SR04), Controller (ATMega328), Arduino.
Abstract
Paper Based Piezoresistive Sensor Using MEMS
Prof G Mallikarjuna Rao, Pavani Kollamudi
DOI: 10.17148/IJIREEICE.2017.51015
Abstract: This paper describes the development of MEMS force sensors constructed using paper as the structural material. The working principle on which these paper-based sensors are based is the piezo-resistive effect generated by conductive materials patterned on a paper substrate. The device is inexpensive (∼$0.04 per device for materials), simple to fabricate, lightweight, and disposable. Paper can be readily folded into three-dimensional structures to increase the stiffness of the sensor while keeping it light in weight. The entire fabrication process can be completed within one hour without expensive clean room facilities using simple tools (e.g., a paper cutter and a painting knife). In this project demonstrated that the paper-based sensor can measure forces with moderate performance. In this project applied this sensor to characterizing the mechanical properties of a soft material. The design of MEMS based piezo-resistive cantilever was made using COMSOL multi physics software version 5.0, in which the free end of the beam gets displaced when input pressure is applied. Five piezo- resistive materials are used. Copper, Silver, Graphite, Al2O3, Aluminium are analysed by varying input load. The work is concentrated mainly on the maximum amount of displacement observed for the applied pressure as a result of piezo resistive effect. Among the two materials considered, the material resulted in greater displacement for proposed geometry is Al2O3. When compared with other materials Al2O3 has low value of Young’s modulus and considerably high value of Poisson ratio.
Keywords: Piezo resistive sensor, MEMS
Keywords: Piezo resistive sensor, MEMS
Abstract
Hybrid Model for Privacy Preservation Using Clustering and Classification Technique
Priyank Pathak, Rajat Paliwal, Chetan Grawal
DOI: 10.17148/IJIREEICE.2017.51016
Abstract: The security of data over the internet is major issue in current scenario. For the security of data used various technique such as cryptography, steganography and watermarking. Privacy preservation is new generation of data security. For the privacy preservation used various methods and algorithm. In this paper proposed the data mining based privacy preservation algorithm. The proposed algorithm is combination of clustering and classification. The process of clustering used the vector decomposition technique for the portioning of data. The partition and distributed data transfer the classifier for the validation and publication of data. The proposed algorithm implemented in MATLAB software and used reputed dataset form UCI machine learning. Our experimental result shows the better value instead of pervious methods.
Keywords: Privacy Preservation, Data Mining, Clustering, Classification, Vector
Keywords: Privacy Preservation, Data Mining, Clustering, Classification, Vector
Abstract
Label Dependency Elimination in Multi-Label Classification Based On Feature and Teacher Learning Optimization
Rohit Tiwari, Shivank kumar soni, Chetan Agrawal
DOI: 10.17148/IJIREEICE.2017.51017
Abstract: The classification and categorization is major issue in multi-features based data. As the classification and categorization of multi-features data are used multi-label classifications. The multi-label classification technique used the similarity based features selection process. In this paper, we proposed the feature optimization based multi-label classification. For the optimization of features used teacher learning based optimization technique. The teacher learning based optimization technique is basically based on dynamic iteration population algorithm and it reduces the unwanted and distinct feature of data for the process of classification. The modified algorithm implemented in mat lab software and used some reputed dataset for the evaluation of performance.
Keywords: Data Mining, MLC, Feature Optimization, TLBO
Keywords: Data Mining, MLC, Feature Optimization, TLBO
Abstract
Arithmetic Coder Architecture used in SPIHT image compression
Rahila I. Mulla, Prof. Ms. R.R. Jagtap
DOI: 10.17148/IJIREEICE.2017.51018
Abstract: A Memory-efficient high throughput architecture of arithmetic coder for the set partitioning in hierarchical trees (SPIHT) image compression is proposed in this paper. In this architecture optimizations at different levels of arithmetic coding gives good image compression with high PSNR.
Keywords: Arithmetic coding, Peak Signal to Noise ratio (PSNR), Set Partitioning in Hierarchical Trees (SPIHT), VLSI Arithmetic coder architecture, Wavelet.
Keywords: Arithmetic coding, Peak Signal to Noise ratio (PSNR), Set Partitioning in Hierarchical Trees (SPIHT), VLSI Arithmetic coder architecture, Wavelet.