VOLUME 7, ISSUE 3, MARCH 2019 | IJIREEICE

Performance Analysis of Fully-Depleted Silicon-On-Insulator (SOI) G4-FET and Gate-All-Around (GAA) MOSFETs

admin — Mon, 25 Mar 2019 07:40:24 +0000

Abstract: The performance of fully-depleted Silicon-On-Insulator (SOI) Four Gate Transistor (G⁴-FET) and Gate-All-Around (GAA) MOSFETs are investigated. Threshold voltage, Subthreshold Swing (SS), Drain Induced Barrier Lowering (DIBL), maximum drain current are calculated and compared.

Keywords: Silicon-on-Insulator (SOI), Four Gate Transistor (G⁴-FET), Gate-All-Around (GAA), Subthreshold Swing (SS), Drain Induced Barrier Lowering (DIBL)

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Smart Plant Watering Patrollers

admin — Tue, 26 Mar 2019 05:29:02 +0000

Abstract: The project is design to build an obstacle avoidance robotic vehicle using ultrasonic sensors for its movement and a line following robotic vehicle using infrared sensor for obstacle detection and also a speed behavioural robotic vehicle using speed sensors to detect the speed of robot for dispensing the water to plant saplings accordingly.

The Line follower robot is a mobile machine that can detect and follow the line drawn on the floor. Generally, the path is predefined and can be either visible like a black line on a white surface with a high contrasted color or it can be invisible like a magnetic filed. Definitely, this kind of Robot should sense the line with its Infrared Ray (IR) sensors that installed under the robot. After that, the data is transmitted to the processor by specific transition buses. Proposes robotic vehicle that has an intelligence built in it such that it directs itself whenever an obstacle comes in its path. This robotic vehicle is built, using a micro-controller of AT mega 8 family. An ultrasonic sensor is used to detect any obstacle ahead of it and sends a command to the micro controller. Depending on the input signal received, the micro-controller redirects the robot to move in an alternate direction by actuating the motors which are interfaced to it through a motor driver.

Keywords: Infrared Ray (IR), Artificial Intelligence (AI), Sensors, Robotic vehicle

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Accident Detection and Reporting System

admin — Tue, 26 Mar 2019 06:22:09 +0000

Abstract: The number of on-road traffic accidents is escalating every day and a system to monitor these and take required actions is the need of the hour. This paper proposes a model that can effectively detect accidents and report the part of the traffic video containing the accident to the nearest set of hospitals. It uses Gaussian Mixture model to detect vehicles and mean shift algorithm to track their movement, upon which an accident is presumed to occur based on the values of three parameters of the vehicle; position, acceleration and direction of motion of the vehicle. If the thresholds of the aforementioned values are exceeded and accident is detected, then the video in the time frame of the accidents is rendered to the nearest registered hospital.

Keywords: Gaussian Mixture Model, Mean shift algorithm, Accident Detection Algorithm

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Coupled-Inductor-Inverse High Step-Up Converter With Voltage Multiplier

admin — Thu, 28 Mar 2019 08:44:45 +0000

Abstract: The proposed converter includes a three winding coupled inductor inverse circuit combined with a boost converter. Hence the output voltage can be increased by reducing the turns ratio of the coupled inductor. Main switch suffers from high voltage stress due to the leakage inductance of the coupled inductor. A voltage multiplier circuit could further increase the voltage gain and output power. Voltage multiplier circuit can also reduce the voltage stress across the main power device. A clamping circuit consisting of a diode and capacitor could reduce the leakage inductance energy. The smooth operation of the proposed system is realised by sinusoidal pulse width modulation. A simulation of the proposed system is modelled and evaluated with desirable results in MATLAB/Simulink.

Keywords: PV-Photovoltaic, PWM – Pulse width modulation

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IOT Applications on Secure Smart Trolley System

admin — Fri, 29 Mar 2019 05:30:07 +0000

Abstract: The modern technology has increased the standard of living for the humans. There has been an emerging demand for quick and easy payment of bills in supermarkets. Everyone in their life have craves for a quality in everything they use daily lives. This project describes how to build an automated and time saving system for the world of retail which will make shopping experience impetuous, customer friendly and secure. So, this has resulted in large crowds at shopping malls which have led to long lines at the billing counter because the cashier has to scan every product item and then enter it into the billing record. The prevailing billing system is a bit time consuming. So by thinking of inventing a remedial electronic product to catch-up with this problem. “Automated shopping trolley for billing system” is better approach for the above said problem. This is based on ATmega328 Controller fitted with a LCD and RFID reader and a wireless technology called Zigbee. The LCD and Zigbee modules make the wireless network to work easily between a certain ranges. An innovative product with social acceptance is the one that aids the comfort, convenience and efficiency in everyday life. The brief description of its operation is, when you pick a product and drop it into the trolley, the RFID reader scans the product’s unique ID and its price. And it gets displayed on the LCD screen. So after customer has finished with the shopping he/she has to visit the counter and pay the bill as displayed on the LCD screen fitted on the trolley. This will save the time that was earlier being consumed to scan each item.

Keywords: RFID technology, LCD and Zigbee modules make the wireless network, IOT Applications

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Image Recognition using Convolutional Neural Network

admin — Sat, 30 Mar 2019 09:19:12 +0000

Abstract: Deep Learning has emerged as a new area in machine learning and is applied to a number of signal and image applications. The main purpose of the work presented in this paper, is to apply the concept of a Deep Learning algorithm namely, Convolutional Neural Networks (CNN) in image classification. In this paper we built a simple Convolutional neural network on image classification. This simple Convolutional neural network completed the image classification. Our experiments are based on benchmarking datasets minist and cifar-10. On the basis of the Convolutional neural network, we also analyzed different methods of learning rate set and different optimization algorithm of solving the optimal parameters of the influence on image classification.

Keywords: Convolutional Neural Network; Deep Learning; Image Classification, Learning Rate

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Current Fed Isolated Dual Half Bridge Converter With Low Input Current Ripple and Improved Efficiency

admin — Tue, 02 Apr 2019 04:59:20 +0000

Abstract: A high step-up current-fed resonant converter is required for interfacing the sustainable power sources, such as PV panels and fuel cells, which are characterized by low-voltage high-current output and have strict current ripple requirement. A DC DC resonant converter with intermediate AC link provides higher gain with soft switching abilities. LCC resonant converters provide high voltage gain with better transformer utilization. But due to the presence of resonance, there will be circulating energy which is carried by the split capacitors. This circulating energy will increase input current ripple, conduction losses. Considering the necessity of high voltage boosting function with low input current ripple and low circulating energy, the most appropriate converters are current fed full bridge or push-pull converter with output voltage doublers. Since the converter efficiency can be considerably improved by reducing the count of the primary switches and implementing a transformer of a simple structure, a double inductor push-pull converter was selected. The resonant tank absorbs self-winding capacitances of transformer and junction capacitances of rectifying diode into the resonant capacitor. Thus current spikes get suppressed within the resonant circuit. In order to further improve the efficiency, voltage double circuit is applied to the output rectifier, respectively. This proposed system will reduce the circulating energy, since double inductor push-pull converter will act as an isolated double boost converter. This system is proposed with an expectation of improved efficiency, low input current ripple and low circulating current. A simulation of the proposed system is modeled with input voltage of 30V and output voltage of 380V is realized in MATLAB/Simulink. The system guarantees high voltage gain and efficiency.

Keywords: Resonant Converter, Front End Converter, Voltage Doubler

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High Power Factor LED Driver using PWM Rectifiers

admin — Wed, 03 Apr 2019 11:48:53 +0000

Abstract: An improved topology is proposed here with forward flyback converter having PWM rectifiers at the input side in order to achieve unity power factor . Buck converter is inserted between the forward sub converter and load. Here “One and a half stage” converter scheme is proposed where most of the power reaches the load through flyback sub converter and a small portion through forward sub converter and buck converter. Electrolytic capacitor can be eliminated, thus the lifetime of driver can be improved. Bus voltage between forward sub converter and cascaded buck converter is auto regulated for achieving power balance. The proposed driver has higher efficiency than conventional AC-DC led drivers. Ripple compensation control is done in the proposed scheme. Hysterisis control is used for switching PWM rectifiers in order to improve the power factor and hence THD is reduced. Proposed topology is very suitable for industrial application such as low power AC-DC led drivers.

Keywords: PWM Rectifiers, Forward – Flyback Converter, Power Factor Correction, Ripple Compensation, Hysteresis Control, THD (Total Harmonic Distortion)

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Survey on Recommendation Engines built using Collaborative Filtering Techniques

admin — Wed, 03 Apr 2019 11:51:15 +0000

Abstract: With the vast amount of data available today, organizations are looking for more accurate ways of using this data for improving productivity and user experience. Recommender system is one such technology that pro-actively suggests items of interest to users based on their objective behavior on their explicitly stated preferences. Recommendation Engine is one of the most important parts of all commercial and social websites. Whenever a user searches for a book, music, movies or any other product, recommender systems play a huge role in suggesting items that are similar. Recommendations in general are of two types, content based and user based. This paper surveys Recommendation Engines using Collaborative filtering techniques.

Keywords: Recommendation Engines, Collaborative Filtering, Content-Based Filtering, Matrix Factorization

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Home Security Systems using Internet of Things

admin — Wed, 03 Apr 2019 11:57:59 +0000

Abstract: Now a day’s Security has become an important issue everywhere. Internet of things can prove that technology has rapidly increasing day by day. Nowadays, the usage of internet had been widely used around the world. A development of home security system using internet of things with sensors need PIR (Passive Infrared Sensor), fire detection sensor, and temperature sensors are needed. The PIR sensor will detects a human being moving around within approximately 10 m from the sensor. Fire sensor is used to detect the fire from the long distances about 4-6 km. Arduino is a micro controller board based on the ATmega328p. It has 14 digital input and output pins. In home security system the sensing range of temperature sensor is 45- 85 degrees.

Keywords: Internet of Things, ATmega328p Controller, PIR Sensor, Fire Detection Sensor, Temperature Sensor

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