International Journal on Future Revolution in Computer Science & Communication Engineering
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Simultaneous Placement of Distributed Generation and Reconfiguration in Distribution Networks Using Unified Particle Swarm Optimization
Get PDFThe power distribution feeder reconfiguration and optimum placement of distributed generation are two main methods to minimize the active power loss in radial distribution systems. The robustness of the radial distribution system can be improved by simultaneous manipulation of both optimal DG placement and feeder reconfiguration. In this paper, a novel technique is proposed to minimize the power loss with the simultaneous use of feeder reconfiguration and placement of distributed generation. In general, an electrical power network economics primarily relies on the conductor line losses. Hence in this proposed study, the feeder reconfiguration and finding of desirable bus location and operating power of distributed generation is concurrently modeled as an optimization problem for minimizing the real power loss with subject to all operating equality and inequality constraints. This optimization problem is solved with the guide of unified particle swarm optimization algorithm. The system power loss is handled as the cost function for each particle in a swarm. The proposed method is applied to both IEEE 33-bus and IEEE 69-bus radial distribution systems. The prosperous solutions achieved from the simulation studies manifest that the high level of system loss reduction and desirable bus voltage profile, when analyzed against the system with reconfiguration, and the system with DG
Abused Word Detection on Social Media
Get PDFOnline social media now a days it�s a medium to communicate each other and it�s a platform of advertising, popularity and so on. It offers a platform for the people to connect online and also gives the privacy for one-to-one interaction.The different type of languages having different type of abused words that�s having different typos isreally hard to recognise the word that�s the big problem. Most of the people using abused words on social media. By this the social environment become polluted or unhealthy for young people. Its gives the bad impact on students and their mind. For that we proposed a system which is hiding the abused word on the social media without exposing publically to decrease the death rate of students which is harassed on social media and commenting negative comments social media to overcome this issue
Delay Reduction of Detection Algorithms for 5G Massive MIMO System
Get PDFMultiple antenna technologies like Multiple-InputMultiple-Output (MIMO) and beamforming will thus play animportant role in defining 5G system architectures. In massiveMIMO there is a huge number of antenna elements, so there isa need to estimate large channel matrix which introduces muchlatency. The ultra-high latency and high computation complexityof massive MIMO matrices from 16 to 256 dimensions is thevital bottleneck to realizing latency for channel estimation andMIMO detection. This paper introduces a mechanism to reducethe high computational complexity that causes huge latency. Fouralgorithms are evaluated to measure their performance. Thesealgorithms are Gauss-Jordan Elimination, Gaussian Elimination,RQ Decomposition and LU Decomposition. MATLAB simulationused to analyze the applied mathematical models. After thatmeasured the BER, delay for each algorithm and evaluate thecapacity and throughput, by way, found that the GaussianElimination has better delay about 49 percent when RQ Decomposition higherabout 95 percent while LU Decomposition highest about 98 percent comparedby Gauss-Jordan Elimination. In addition the result show theperformance of capacity and throughput for various modulationand coding rate, while the deliverables average capacity about10 M bit and affected by the situation of the channel, LU hasthe best performance than others
Time Table Generation using Constraint Programming Approach
Get PDFEvery college in today�s era has number of different courses and each course has a number of subjects. Since there are limited resources to allocate such as faculties, labs, class rooms, the time table is needed to schedule and conduct different courses which do not have any overlapping of resources at a given time. The time table generation algorithm should make the optimum use of available resources
An Approach to Extract Feature Using MFCC for Isolated Word in Speaker Identification System
Get PDFThe speech is the prominent and natural form of communication among human being. There are different aspects related to speech like speaker identification, speaker recognition, Automatic speech recognition(ASR), speech synthesis etc. The purpose of this work is to study speaker identification system using Hidden markov Model (HMM).The goal of Speaker Identification System (SIS) is to determine which speaker is speaking based on spoken information. The system uses Mel Frequency Cepstral Coefficients(MFCC) for feature extraction , HMM for pattern training and viterbi techniques. The success of MFCC combined with their robust and cost effective combination turned them into a standard choice in speaker identification system.HMM and viterbi decoding provide a highly reliable way of recognizing odia speech
Design and FPGA Implementation of Variable FIR Filters using the Spectral Parameter Approximation and Time-Domain Approach
Get PDFThis brief present a design and FPGA implementation of variable FIR filters using time domain approach of the spectral parameter approximation (SPA) technique. Farrow structure is used to implement the SPA-based filter. In the design of variable filters first design the practical filters which satisfy the given transition bandwidth, passband ripple, and stopband attenuation specifications and then approximate the coefficients of these filters by the impulse response of the Farrow structure. Least-squares technique is used to approximation problem. Various design and implementation cases with FPGA synthesis results are presented
Robust Retinal Vessel Segmentation using ELM and SVM Classifier
Get PDFThe diagnosis of retinal blood vessels is of much clinical importance, as they are generally examined to evaluate and monitor both the ophthalmological diseases and the non-retinal diseases. The vascular nature of retinal is very complex and the manual segmentation process is tedious. It requires more time and skill. In this paper, a novel supervised approach using Extreme Learning Machine (ELM) classifier and Support Vector Machine (SVM) classifier is proposed to segment the retinal blood vessel. This approach calculates 7-D feature vector comprises of green channel intensity, Median-Local Binary Pattern (M-LBP), Stroke Width Transform (SWT) response, Weber�s Local Descriptor (WLD) measure, Frangi�s vesselness measure, Laplacian Of Gaussian (LOG) filter response and morphological bottom-hat transform. This 7-D vector is given as input to the ELM classifier to classify each pixel as vessel or non-vessel. The primary vessel map from the ELM classifier is combined with the ridges detected from the enhanced bottom-hat transformed image. Then the high-level features computed from the combined image are used for final classification using SVM. The performance of this technique was evaluated on the publically available databases like DRIVE, STARE and CHASE-DB1. The result demonstrates that the proposed approach is very fast and achieves high accuracy about 96.1% , 94.4% and 94.5% for DRIVE, STARE and CHASE-DB1 respectively
RFID Based Cashless System Using Merchant Card
Get PDFRFID based cashless system provide a comfort, tension free and easy way of travelling and also to reduce the man power. The challenges which are faced currently in the ticketing system mainly comprises of the formation of "Queues" for buying the tickets for local trains and also the change for money which we have paid is seem to be critical condition in railway ticketing system (RTS). This paper deals with the development and implementation of a system to buy the local train tickets which is simple and easy to use. Ticket can be bought with the help of a merchant card. The ticketing information of the user is stored in the database. A merchant card can scratch with the RFID Reader and it would match with the card number and the stored information in database and proceed for buying the tickets. An OTP generated on registered mobile number which then use for authentication. After authentication relevant customer can buy the tickets as per need, the total amount can be calculated and that much of amount are deducted from the balance amount in the account as soon as the ticket can generate from the system
Deep Learning
Get PDFDeep Learning was developed as a Machine learning approach to influence advanced input-output mappings. It had been for learning concerning multiple levels of illustration and abstraction to create sense of the information such as images, text and sound. Deep learning excels at distinguish patterns in unstructured information, that most of the people grasp as media like images, sound, video and text
Analysis and Improvement in Tracking & Security of Wireless Body Sensor Network with the help of Quantum Cryptography: - A Retrospective View on Literature Survey
Get PDFThe wireless nature of the network and the wide variety of sensors offer numerous new, practical and innovative applications to improve health care and the Quality of Life. Using a WBSN, the patient experiences a greater physical mobility and is no longer compelled to stay in the hospital. In this paper, we also present an idea to improve healthcare systems in India with the help of telecommunication and information technology by using wearable and implantable body sensor nodes which does not affect the mobility of the patients with extra security and advance feature. A WBSN should ensure the accurate sensing, tracking of the signal from the body, carry out low-level processing of the sensor signal and wirelessly transmit the processed signal to a local processing unit. In the proposed system, WBSNs, a sparse network of sensors are deployed either directly on the human body, inside the body or embedded in everyday clothes, to record and transmit health data. Body Sensors record and transmit data to a Body Central Unit which aggregates data sent by all Body Sensors and relays the aggregation to a hospital monitoring station from where healthcare professionals can remotely monitor the health parameters of patients or other individuals. This will help the authorized care giver easily diagnose the problem and make available the quick treatment to patient. The security of these devices is very important factor to make secure the personal data of any patient. Thus no other unauthorized person can get information about the patient disease etc which help to protect privacy of user and data. The primary objective of this proposed work is to propose effective security and tracking technique for sensor body wireless network with the help of new and effective technique Quantum Cryptography which provides extra security from all type of dangerous attacks and threats