ICCTEEE 2018- International Conference on Contemporary Topics in Electrical and Electronics Engineering

"ICCTEEE 2018 Conference Papers "

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Performance Analysis of Text To Speech Synthesis System using HMM and Prosody Features with Parsing for English Language[ ]


This paper describes a Hidden Markov Model (HMM) based Text To Speech Synthesis (TTS) system and prosody based TTS system for producing natural sounding synthetic speech in English language. The HMM based system consists of two phases such as training and synthesis. English speech is first parameterized into spectral and excitation features using Glottal Inverse Filtering (GIF). An emotions present in the input text is modeled based on the parametric features.

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Realization of LTE-A System with FTN Algorithm[ ]


Mobile communications has become one of the most developed technologies in the last two decades. Strong demand to increase system capacity is still growing dramatically .LTE-Advanced (LTE-A) is an emerging and a more advanced set of standards and technologies that will be able to deliver bigger and speedier wireless-data payloads. These LTE-A systems can be implemented with 5G algorithms. One of the promising 5G algorithm is a non-orthogonal transmission scheme Faster-Than-Nyquist (FTN) signaling. In this paper, the faster-than-Nyquist (FTN) signalingis surveyed, the basic principles and the system framework of FTN signaling are presented and more details on transmitter and receiver optimization are discussed.

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Computational Time Analysis of Medical Images Implemented on FPGA Architecture[ ]


Image analysis with FPGA is being considered as a major attention in the current scenario. In this work, the computation time of enhanced bone images using Field-Programmable Gate Array (FPGA) architecture has been analyzed. Semivariogram analysis is known to be a computationally intensive algorithm that has typically seen applications in the geosciences, remote sensing areas and also in the area of medical image processing. This work mainly focuses on the reduction of computational time analysis with improved resource utilization. Complex computations are implemented using contemporary FPGA’s which consists of large number of logic gates resources and RAM blocks. The proposed method enhances the input bone image using pre-processing technique with semivariogram algorithm and compares the computational time analysis of FPGA using pipelined and non-pipelined architecture and their results are validated and implemented on Spartan-6 Field-Programmable Gate Array (FPGA) platform.

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Synthesis Of Asynchronous Carry Select Adder In FPGA[ ]


This paper describes an area efficient Asynchronous Carry Select Adder (ACSLA) implemented in a Field Programmable Gate Array (FPGA). CSLA is one of the fastest adders used in many data- processing systems to perform fast arithmetic operations and also has small areas and longer delay Ripple Carry Adder (RCA). The main scope of the proposed work is to reduce the area occupied by implemented CSLA in the FPGA. This paper presents an Asynchronous CSLA with Strong indication, early output and weak indication regimes realized using a delay insensitive dual rail code for data representation and processing. It also deals with a 4-phase return to zero protocol for handshaking. The simulation results of the 8, 16 and 32 bit ACSLAs synthesized in FPGA device are compared with its equivalent synchronous implementation. It is being observed that the ACSLA outperforms the synchronous CSLA in terms of area occupied and delay encountered in the logic circuit.

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Hardware Implementation of Autonomous Obstacle Avoidance Robot[ ]


A robot is intelligent and it is a manmade device that can move by itself, whose motion can be modeled, planned, sensed and controlled. Obstacle avoidance robot is designed to allow the robot to navigate in unknown environment by avoiding collisions. It senses the obstacles in its path, avoids it and resumes its running. The proposed method uses a microcontroller of Arduino family. An ultrasonic sensor is used to detect any obstacles in its path and sends a command to the microcontroller. Depending on the input signal received, it redirects the robot to move in an alternate direction by actuating the motors which are interfaced with the motor driver. Arduino IDE (Integrated Development Environment) software is used to upload the program into the hardware.

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HARDWARE IMPLEMENTATION OF SUCCESSIVE CANCELLATION DECODER FOR POLAR CODE[ ]


Polar codes are the first error correcting codes to achieve the symmetric capacity in binary input discrete memory less channels. The successive cancellation algorithm enables very low complexity implementations in hardware, due to the regular structure exhibited by polar codes. This paper describes pipelined tree successive cancellation decoder architecture. The successive cancellation decoding can be implemented using addition and subtraction operations, thereby eliminating costly multiplication and division operations and reducing the complexity of each processing element greatly. The complexity of both encoding and SC decoding of polar codes are O(NlogN),where N is the code block length. This architecture is implemented in Spartan6 Field Programmable Gate Array (FPGA), in which the area is reduced.

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Design and Implementation of Adaptive Jamming Gripper[ ]


The existing work depicts the design of simple jamming gripper, comprised of a flexible membrane filled with a mass of granular material that can passively adapt to the shape of the target object. By modulating the air pressure namely positive and negative pressure within the membrane, a jamming gripper can rapidly harden or soften to grip and release a wide range of objects irrespective of their size and shape. The major challenges in the flexible gripper are based on size, nature and object with complex geometries. The gripper passively confirms to the shape of a target object, and creates vacuum- hardens to grip it rigidly, later utilizing positive pressure to reverse this transition releasing the object and returning to a deformable state. Also this work describes the implementation of gripper and analyzes its performance by conducting different testing situations. By using both positive and negative pressure, gripper performance increases of up to 85% in reliability, 25 % in error tolerance, with the added capability to shoot objects by fast ejection. In addition, multiple objects are gripped and placed at once while maintaining the relative distance between the object and its arrangements. Finally by comparing the performance of the proposed gripper with various testing object in the field.

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Effective Design and Evaluation of Context-Aware and Location-Based Service Discovery Protocols for Organizational Transport Management, Based on Embedded Technology[ ]


Vehicle tracking system is used in many applications like public transportation systems, personal vehicle security and many other applications. Since the number of vehicles in the road is increasing rapidly, the Global Positioning System (GPS) and Global System for Mobile Communication (GSM) helps the user to track their vehicles with ease. This system helps the users to track their vehicles remotely through mobile network with SMS alerts.

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DESIGN OF STRESS MONITOR USING WEARABLE MEDICAL TECHNOLOGY[ ]


Stress is one of the major cause of concern in the present world. Long term exposure to stress leads to health problems. Respiratory rate is one of direct measures which contribute information whether the person is stressed. This paper deals with the design of stress monitor based on respiratory signals measured by respiratory belt to make the stress monitoring process relatively cheap and accurate. The respiratory belt consists of piezoelectric sensor which is very helpful in monitoring respiratory signals. The respiratory belt is placed on chest to pick up the respiratory signals and convert it into voltage. This obtained voltage signal from the respiratory belt is interfaced with laptop. A LabVIEW program is used as user interface in laptop. Now the graph is displayed on the LabVIEW based on respiratory signals and hence the stress is monitored by comparing the respiratory signals at different circumstances.

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Entropy-Based Optimum Test Points Selection for Testing of Mixed Signal Circuits[ ]


This paper proposes a method to select optimum number of test nodes in an analog Integrated circuit for fault diagnosis, using entropy computation. The algorithm estimates the probabilities in accordance with the cardinality of ambiguity sets. The optimum selection of test point reduces the test cost by reducing the redundant measurements. The Circuit Under Test (CUT) used in this work is analyzed by predefined sinusoidal input signal and voltages are measured at various nodes and fault dictionary is constructed under fault free and faulty conditions. In fault dictionary, the set of faults which have almost the same fault signatures are identified as ambiguity sets. The minimum node selection approach to fault diagnosis has been optimized using the concept of sub-ambiguity tables. In this proposed method, it has been shown that the number of test nodes required to diagnose faults has been significantly reduced and also time taken for simulation has been reduced.

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Fault Diagnosis in Analog Circuits Using Wavelet Neural Network[ ]


In analog circuits, fault diagnosis is a very complex task due to lack of the simple fault models and the presence of component tolerances and circuit non- linearity. The proposed method of fault diagnosis of analog circuits based on Wavelet Neural Network (WNN) is presented in this paper. Wavelet Neural Networks are a new class of networks that combine the classic Neural Networks (NNs) and wavelet transform inherits the advantages of the neural network and wavelet transformation. In this work Wavelet Neural Network is constructed and the network weights are updated according to the relevant formula. The constructed wavelet neural network is detected with training set, and then optimal wavelet function with minimum mean squared error is chosen for classification of faults. Experimental results show that WNN has a good predictive ability, so it can quickly and accurately classify the different types of faults.

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THERMAL ENERGY HARVESTING AND MANAGEMENT[ ]


The Conventional sources of energy like, coal, petrol, natural gas are limited and will soon be exhausted. The rapid depleting of fossil fuel reserves and increasing concern towards global warming have created the need to surge for the alternative power generation options. Non conventional methods of energy harvesting are gaining eminence nowadays, as they are more energy efficient, reduce pollution and also they serve as a promising solution to the toughest energy crisis faced during the recent years.

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ANALYZING IPL MATCH RESULTS USING DATA MINING ALGORITHMS[ ]


Cricket is one of the famous outdoor sports that contain a large set of statistical data in real world. As IPL games rise in popularity, it is necessary to examine the possible predictors that affect the outcome of the matches. The article aims at analyzing the IPL cricket match results from the dataset collected (2008-2016) .It focuses on measuring the outcome of Indian Premier League (IPL) matches by applying the existing data mining algorithms to the balanced as well as imbalanced dataset. Oversampling technique is used for imbalanced dataset and then the algorithm is applied. Accuracy is used as the performance metric and calculated by using data mining algorithms. It is also considered as evaluation criteria and percentage will vary according to the different algorithms.

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QUESTION ANSWERING SYSTEM FOR VOICE BASED SEARCH USING NLP TECHNIQUES AND WEB SNIPPETS[ ]


Question Answering System (QAS) is an information retrieval technique which provides a descriptive answer for the given question rather than web links. QAS has many applications like retrieving information from the web, online examination, education, health care, sports, and geography. For a search query the search engines like Google, Yahoo provides a list of web links as a result.

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COMMUNICATION USING LI-FI[ ]


Li-Fi or Light Fidelity refers to Visible Light Communication systems using light-emitting diodes as a medium for high-speed communication in a similar manner as Wi-Fi. Li-Fi or New Life of data communication is a better alternative to Wi-Fi in wireless communication. The concept of Li-Fi is data communication by fast flickering of light which is not detected by human eye but it is focused on photo detector which converts the on-off state into binary digital data. A Solar cell or photodiode is an electrical device that converts the energy of Light directly to electric signal or analog signal by the photovoltaic effect. Photodiode further processes to feed the incoming data to the corresponding speakers via APR.

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SIW Feed Patch Antenna for 28GHz mm-Wave Pre-5G Applications[ ]


In this paper, a beam steering capability with a newly modified single two port and series fed 2x2 port patch antenna arrays are designed with an operating frequency of 28-GHz for millimeter wave applications. Using high-impedance microstrip lines, the patches are connected to each other in a symmetric 2D format. By optimizing the length of the substrate the gain can be increased. The frequency range of this design varies from 26.5GHz to 29.5GHz and it has a center frequency of 28GHz. Here, a gain of 10.2dB is obtained. An efficient method to increase the gain and efficiency using SIW (Substrate Integrated Waveguide) has been used. SIW for a single feed is designed and a gain of 14.86dB is obtained. By comparing the results of single feed with and without using SIW, the former design provides best gain and efficiency. The use of additional integrated circuits to improve the gain and performance are allowed. The simulated results and discussions are presented.

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ON FUZZY e-CONTINUOUS MULTIFUNCTIONS[ ]


In this paper a new type of fuzzy multifunction termed as fuzzy e-continuous multifunction has been introduced and studied. Some characterizations and several properties of fuzzy lower and upper e-continuous multifunctions are obtained.

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On Fuzzy Contra e -continuity[ ]


In this paper, fuzzy e -open sets and fuzzy e -closed sets are used to define and investigate a new class of functions in fuzzy topological space. Relationships between this new class and other classes of functions are established.

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Intuitionistic Fuzzy - -locally Function[ ]


The purpose of this paper is introduce the concepts of an intuitionistic fuzzy - -locally function, intuitionistic fuzzy strongly - -locally function, intuitionistic fuzzy - -locally homeomorphism, intuitionistic fuzzy - -locally irresolute function, intuitionistic fuzzy - -local space, intuitionistic fuzzy - -local Urysohn space, intuitionistic fuzzy - -local connected, intuitionistic fuzzy - -local compact in intuitionistic fuzzy topological spaces. Also some interesting properties are established.

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RSSI BASED UNDERGROUND COAL MINE MONITORING AND TRACING SYSTEM USING LABVIEW TECHNIQUE[ ]


The main aim of this paper is to minimise the disasters of coal mine. This paper presents underground mine environment monitoring system, developed using the Indoor localization systems which is used to locate people inside mines using radio waves and rescue them when they are under threat. The system contains Temperature sensors, Pressure sensors, Heart Beat sensor, Gas sensor, PIC micro controller and NRF Transreceiver. This method is an advanced version of Coal mine monitoring system. The sensors are used to detect the human pulse level and Health conditions also.

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Aadhar Based Electronic Voting Machine[ ]


Our paper mainly focuses on avoiding the bogus that takes place in the voting system. Our system relies on embedded systems for day-to-day activities. Today every person in India is having an aadhar card. By using the database in the aadhar card in addition with the scanners the problem of bogus can be avoided. Firstly, the fingerprint of the voter is compared with the database for checking the eligibility of that particular voter. Then the QR code in the aadhar card is scanned as well. Our paper further proposes an innovative and inexpensive framework designed to check the repeatability of votes by the same voter.

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Performance Evaluation of Positive Output Triple-Lift Luo Converter with different Controllers[ ]


The voltage lifting technique is used in power electronic circuit. Since the effect of parasitic elements reduces the output voltage and power transfer efficiency of DC-DC converters, this lift technique has been successfully applied for DC-DC converters resulting Luo converters. Positive Output Triple-Lift Luo converters (POTLLC) are series of new DC-DC step-up (boost) converters, which were developed from elementary Luo converter using the voltage, lift technique. POTLLC circuit is derived from positive output elementary Luo converter by adding the lift circuit three times. These converters perform DC-DC voltage-increasing conversion with high power density, high efficiency and cheap topology in simple structure. The performance evaluation of the PI , Fuzzy Logic Controller (FLC) and Neural controller for Triple-Lift Luo Converter is compared under supply voltage disturbance load disturbances ISE and IAE. The simulations are done using Matlab- Simulink.

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PI BASED INTERLEAVED SEPIC CONVERTER FOR PV APPLICATIONS[ ]


Consumption of energy is gradually increased due to rapid development of Industrialization. whole world including our country is faced with an issue of back up power , exhaustion of fossil energy and global warming Solar radiant energy accounts for the most of the usable renewable energy on earth. Photovoltaic is the method of generating electric power by converting solar radiations into direct current electricity. The interleaved SEPIC converter is proposed for high precision in current transition, keep the voltage for various load applications and transfer energy for all irradiation levels. Interleaved SEPIC Converter is used to increase the voltage level when compared with ordinary SEPIC Converter. The output DC voltage is controlled by varying the duty ratio by PWM technique. To control the dc link voltage ,PID controllers were used. The proposed model provides reduced cost, lower switching losses, lower conduction losses and high efficiency.

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A NEW TOPOLOGY OF PHOTO VOLTAIC BASED THREE-PHASE POWER CONVERSION SYSTEM[ ]


A topology for a DC power to three-phase power conversion is proposed which converts the power from a PV cell to three phase power for a three-phase load applications. The proposed power conversion interface comprises a bridge-type switch set, a set of three-phase inductors, a transformer set and a set of three-phase capacitors. Consequently, both the power circuit and control circuit are simplified. The transformer set is used to decouple the NZS currents and the ZS currents. The NZS currents are used to generate a high-quality three-phase voltage that supplies power to a three-phase load. This paper focuses on a PSIM model of a phase conversion topology interface with induction motor.

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SIMULATION ASSESSMENT OF PWM STRATEGIES FOR THREE PHASE TRINARY SOURCE NINE LEVEL INVERTER WITH RECTIFIED SINE CARRIERS[ ]


This paper presents the performance assessment of various bipolar rectified sine Multi-Carrier Pulse Width Modulation(MCPWM) strategies with Trapezoidal reference for three phase Nine level cascaded Trinary Source multilevel inverter(TSMLI). TSMLI have been developed using MATLAB-SIMULINK and tested for different modulation indices 0.8-1. The most popular cascaded multilevel inverter exhibits several other attractive features such as simple circuit layout, less component counts and modular structure which prevents unbalance in capacitor voltage.

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PV Sustained Cascaded Boost Converter with PID Controller[ ]


This paper exhibits Cascaded boost converter (CBC) sustained by solar panel with PID controller. Solar energy is aperpetuating sustainable power sourcewhich has been used and looked into most lately because of inconsistency of petroleum products. The best converter is CBC with single switch in view of high voltage increase, simple enactment and better execution. PID controller is utilized to upgrade the dynamic performance and tokeep up the steady yield voltagefor intended converter. A 30V PV input is changed over into an output voltageof 110V with 250W has been implemented in simulation. It is carried out by employing MATLAB/Simulink instrument.

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MODELLING AND SIMULATION OF HYBRID (WIND and SOLAR) FOR DC MICROGRID[ ]


This paper deals with the development of DC Micro grid using Hybrid Wind/Solar power system using MATLAB/SIMULINK. The hybrid of small modular device such as PV, small wind turbine and storage device and it given to DC load is known as DC microgrid. Wind/Solar hybrid power system is used to improve the energy efficiency and the LED’S are useful for power cost. LED’S are energy saving, high luminous efficiency and very much useful life. LED (Light Emitting Diode) street light system play an major role and run in DC power with the increased use of Hybrid power system, Since the irradiance of pv panel and speed of the wind turbine is variable this is controlled by power electronics device. Here buck and boost converter is used for both the energy. The proposed system was canvas in consider to the operation status of the hybrid input power and battery voltage using MATLAB simulation. The hybrid system is determined by simulating using MATLAB/SIMULINK.

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Execution of PV supported Wet Processor with Improved performance for Domestic Application[ ]


This paper is exhibited for running of solar based wet processor using Photovoltaic frameworks and due to absence of battery it will perform at minimum cost and aims to holds out the DC source which step up from the PV panel and concatenate to an inverter to give an AC outcome and coupling of motor to the wet processor is driven by an Inverter. Perturb and Observe (P&O) calculation based Maximum Power Point Tracker (MPPT) utilized for enhancing productivity of the framework and by accomplishing a compelling PV based wet grinding system without a need for storage purpose. The outcomes are exhibited on accessibility of solar irradiance and simulation result comes about by utilizing MATLAB/SIMULINK which predicts the Open and closed loop system model.

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SOLAR ENERGY BASED DC GRID WATER MANAGEMENT SYSTEM[ ]


This paper is primarily focused on the design and development of an efficient and cost effective solar photovoltaic generator (PVG) based water pumping system implying a DC Motor drive. The maximum extraction of available power from PVG is attained by introducing a perturb & observe maximum power point tracking (MPPT) controller with boost converter as a power conditioning stage.

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SINGLE PHASE MULTILEVEL INVERTER BASED ON A NOVEL SWITCHING SCHEME USING SEPIC CONVERTER FOR BATTERY POWERED APPLICATION[ ]


This paper introduces a single phase multilevel inverter (MLI) occupying a novel switching scheme. Multilevel inverter gives high power capability, affiliated with lower output harmonics. Their main disadvantage is their complication, involving a great number of power devices and passive component, and a comparatively complex control circuitry. This new idea proposes an indicative reduction in the number of power devices and capacitor suitable to implement multilevel output with a battery powered application. In the proposed scheme, different voltage levels are achieved by changing duty cycle value of the DC-DC SEPIC (Single Ended Primary Inductance converter) converter. So, only five controlled switches are required to implement the multilevel inverter and no additional components are required. The proposed scheme has been designed and simulated in the MATLAB/SIMULINK environment and the results have been validated.

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Suppression of Conducted EMI using Random Modulation Scheme on Cuk Converter[ ]


In this paper, power spectrum analysis of cuk converter carried out by using random modulation technique. Here particularly, the randomized carrier frequency and randomized duty ratio, with randomized pulse position modulation (RRRM) was used in cuk converter. Field Programmable Gate Array was used for implementing the random modulation schemes. Due to the tractability and controllability, FPGA was implemented. In this random modulation technique spread spectrum scheme was derived for cuk converter topology. Spread spectrum technique is one of the best way to spread the generated electromagnetic signal with wide range of frequency. Power Spectrum Density (PSD) analysis for cuk converter with RRRM and conventional PWM technique were studied. From the simulation results RRRM technique provide best PSD level when compared to conventional PWM techniques. The effect of proposed RRRM scheme was simulated by using MATLAB/SIMULINK.

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Mathematical modelling and Performance analysis of Quadratic Boost Converter[ ]


The output voltage from the sustainable energy like photovoltaic (PV) arrays and fuel cells will be at less amount of level. This must be boost considerably for practical utilization or grid connection. A conventional boost converter will provides low voltage gain while Quadratic boost converter (QBC) provides high voltage gain. QBC is able to regulate the output voltage and the choice of second inductor can give its current as positive and whereas for boost increases in the voltage will not able to regulate the output voltage.

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Object Tracking using SIFT and Kalman Filter[ ]


Object detection in videos involves verifying the presence of an object in image sequences and locating it after recognition. A major challenge to object tracking is the occlusion of the target object by other objects in the scene. In this paper two features in video is used to detect and track objects: Visual features (such as color, texture and shape) and Motion information. The proposed method for object tracking is based on SIFT (Scale-Invariant Feature Transform) and Kalman filter. The SIFT algorithm detects the invariant feature points which are used in identifying the target object in non-occluded environment. If the SIFT algorithm fails to track the object in case of occlusion, Kalman filter which has the ability to predict the target location is used at such instances to determine the location of the target.

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GARBAGE RECYCLING AND INTIMATION SYSTEM[ ]


Rapid increase in population. We see present day, many times Dust bin are placed near public places in the cities/villages are filled due to increase in the waste every day. so efficient method to dispose the waste has been designed with Gsm system. If the disposal of waste is not proper done it creates unhygienic condition for the people and it creates ugliness to that place. At the same time bad smell is also spread this leads in causes some deadly diseases & human illness, to avoid such a situation we are planning to design “GSM Based Waste Management for Smart Cities”.

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INTELLIGENT TRAFFIC LIGHT CONTROL SYSTEM USING ARDUINO[ ]


The main objective of this paper is to provide an intelligent traffic light control system in order to avoid the traffic congestion and to give a free way to emergency vehicles to reach their respective places without any delay. This system uses IR sensors to detect the vehicles density before signal. This will help the Arduino to change the signal timing based on the number of vehicles. For traffic clearance, the radio frequency transmitter and receiver are used. To detect the emergency vehicles and will change the signal colour from red to green. Thus, this intelligent traffic light control system will help us to avoid traffic congestion and provide traffic clearance for emergency vehicles to reach their destination.

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SMART POWER MONITORING SYSTEM USING ZIGBEE[ ]


Electrical power system engineering comprises power generation, transmission, distribution, and the utilization of electricity. Modern trends in the development of electric power systems explore means of improving efficiency in these stages mentioned. On the demand side, the protection of consumer equipment and appliances from damage and total destruction due to phase failures is an issue of paramount importance mainly in parts of the world with unsteady supply of electricity.

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Fiddle with Stratum Pattern-Based Personal Identification System[ ]


The CMOS camera and IR blaster captures the finger vein of any individual. It can also be used as a security system. In the modern world to fight the high hacking. It searches for matching in the database which is stored in the personal computer. The result will be displayed in the LCD which is interfaced in PIC. The PIC receives the command from the personal computer. The device is designed and tuned to enhance the performance. In this work we introduced Median filter to reduce the noise of the image and CLAHE process to increase the brightness of the image. It gives a low noise image with better visibility of the finger vein. The software tool we used here to detect the finger vein image is MATLAB. The drawback with the fingerprint system is that it can be easily counterfeit, but in the finger vein system, it is highly secured especially for the banking sector.

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LOCATION OF DG BASED ON SENSITIVITY FACTOR IN DEREGULATED ENVIRONMENT USING PSO ALGORITHM[ ]


This paper is mainly to locate the DG based on Sensitivity factor using PSO algorithm .Particle Swarm Optimization (PSO) has became one of the most popular optimization methods in the domain of Swarm Intelligence. Many PSO algorithms have been proposed for distributed generations (DGs) deployed into grids for power delivery and reliability to consumers .The Objective of this paper is to obtain the location of DG based on sensitivity factor which has been taken into account of congestion relief and to maximize the Social Welfare and to minimize the loss and this is to enhance the efficiency of competitive wholesale energy market. The proposed method is illustrated by IEEE 30 bus system.

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Optimal Control of Microgrid Using Firefly Algorithm[ ]


Microgrid is a new idea for future energy distribution system that aids renewable energy integration. Itgenerally consists of many distributed generators that are usually interfaced to the grid through power inverters. In microgrid the power generation is mainly depends on renewable energy sources. The RES are unpredictable, so to maintain the system stability in uncertain environment is very difficult. When changes occur changes in microgrids, it should satisfy the demand with minimum tracking time and to stabilize the system. In order reduce the tracking time for achieving the system stability, robust PID control method is proposed. In that controller the firefly algrotihm is proposed. The new proposed is more robust and high performance control. The simulation has been done in MATLAB/Simulink with required formulation.Based on simulation result, operation optimization using firefly algorithm (FA) can minimize generation cost and life loss cost battery.

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