Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
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DALF: An AI Enabled Adversarial Framework for Classification of Hyperspectral Images
Get PDFHyperspectral image classification is very complex and challenging process. However, with deep neural networks like Convolutional Neural Networks (CNN) with explicit dimensionality reduction, the capability of classifier is greatly increased. However, there is still problem with sufficient training samples. In this paper, we overcome this problem by proposing an Artificial Intelligence (AI) based framework named Deep Adversarial Learning Framework (DALF) that exploits deep autoencoder for dimensionality reduction, Generative Adversarial Network (GAN) for generating new Hyperspectral Imaging (HSI) samples that are to be verified by a discriminator in a non-cooperative game setting besides using aclassifier. Convolutional Neural Network (CNN) is used for both generator and discriminator while classifier role is played by Support Vector Machine (SVM) and Neural Network (NN). An algorithm named Generative Model based Hybrid Approach for HSI Classification (GMHA-HSIC) which drives the functionality of the proposed framework is proposed. The success of DALF in accurate classification is largely dependent on the synthesis and labelling of spectra on regular basis. The synthetic samples made with an iterative process and being verified by discriminator result in useful spectra. By training GAN with associated deep learning models, the framework leverages classification performance. Our experimental results revealed that the proposed framework has potential to improve the state of the art besides having an effective data augmentation strategy
Low Voltage Capability of Generator for Frequency Regulation of Wind Energy System
Get PDFFor the extraction of wind energy through a doubly fed induction generator (DFIG), low voltage is major particular essential controlled by the transmission structure executive. Under a structure issue condition, DFIG should remain with respect to the lattice for a particular least period and deal open power support on a case-by-case basis by the Transmission framework administrator. A pleasant control plot involving gear course of action through a superconducting resistance type issue current limiter (R-SFCL) and programming plan based on the rotor reference current direction control system (RRCOCS) with transient voltage control (TVC), is proposed in this paper to address the Low voltage essential. The results got by the proposed procedure are differentiated and RRCOCS and RRCOCS-TVC
Robust and Effective Banknote Recognition Model for Aiding Visual Impaired People
Get PDFVisual disabled Ethiopians find great difficulty in recognizing banknotes. Each Ethiopian banknote has an identical feel, with no Braille markings, irregular edges, or other tangible features that make it easily recognizable by blind persons. In Ethiopia, there's only one device available that will assist blind people to acknowledge their notes. Internationally, there are devices available; however, they're expensive, complex, and haven't been developed to cater to Ethiopian currency. Because of these facts, visually impaired people may suffer from recognizing each folding money. This fact necessitates a higher authentication and verification system that will help visually disabled people to simply identify and recognize the banknotes. This paper presents a denomination-specific component-based framework for a banknote recognition system. Within the study, the dominant color of the banknotes was first identified and so the exclusive feature for every denomination-specific ROI was calculated. Finally, the Colour-Momentum, dominant color, and GLCM features were calculated from each denomination-specific ROI. Designing the recognition system by thereby considering the denomination-specific ROI is simpler as compared to considering the entire note in collecting more class-specific information and robust in copying with partial occlusion and viewpoint changes. The performance of the proposed model was verified by using a larger dataset of which containing banknotes in several conditions including occlusion, cluttered background, rotation, and changes of illumination, scaling, and viewpoints. The proposed algorithm achieves a 98% recognition rate on our challenging datasets
Modeling and Fabrication of Smart Robotic Wheelchair Instructed by Head Gesture
Get PDFThe confronting problem faced by the handicapped, paralyzed, disabled, and quadriplegic people is their independent mobility. They need external assistance to perform their daily life activities. This paper aims to solve that problem by smart designing and deployment of the robotic wheelchair for those who cannot perform their voluntary activities and movements. The proposed automated wheelchair comprises two parts; the first part is the user's helmet that works as a master device, and the second part is a slave device, a smart wheelchair. The master device consists of an accelerometer, microcontroller, and wireless transmitter, in which the Accelerometer recognizes the movements of the user's head and transmits the signal according to the tiltation of the user's head. Besides this, the slave device consists of a wireless receiver, microcontroller, Gyroscope, power MOSFETs, and DC geared motors mounted on a smart wheelchair, which response as per the instructions of the master device. Furthermore, the paper also provides a brief construction of this mechatronic and amphibian system using static and dynamic equations
Analysis of the Quality Parameter Requirements of National Standard Development for Battery Swap in Electric Vehicles
Get PDFThe electric vehicle industry is expected to increase from year to year. Electric vehicles used energy stored in battery packs. The battery requires a long energy charge when the energy in the battery runs out. The solution to this energy charging time is a battery swap system. The purpose of this study was to analyze the parameters of the quality requirements for the development of a national standard battery for electric vehicles. The sampling method was carried out by non-probability sampling with a purposive sampling method. Respondents consist of various types of stakeholders who are directly related to electric vehicles so that this approach is expected to be able to answer the needs of the standard parameters of electric vehicle swap batteries in Indonesia. Data were analyzed using descriptive analysis. Based on the research results obtained several parameters, namely the type of battery, battery size and dimensions, security system requirements, communication, protection against electric shock, equipment construction requirements, electromagnetic compatibility, and marking and instructions. It is expected that these parameters can be taken into consideration for inclusion in the Indonesian National Standard governing battery swap in electric vehicles
Electrical Characteristic Analysis of Photovoltaic Thermal With And Without ∇-Groove Absorber
Get PDFThe photovoltaic thermal (PVT) system is an up-and-coming renewable energy technology that simultaneously produces thermal and electrical energy. The objective of this paper is to improve the electrical efficiency of the photovoltaic thermal system with and without ∇-groove absorber. This study is an experimental investigation under an indoor solar simulator at The National University of Malaysia. The electrical characteristic of the PVT system is characterized by the scheming current (A), voltage (V), power (W) curves. The solar intensity and mass flow rate affected the electrical characteristic. The increase of produced power and electrical efficiency is caused by increasing the solar intensity and mass flow rate. The comparison between ∇-groove absorber and without ∇-groove absorber shows that the use of ∇-absorber can increase electrical efficiency
Design of the Digital I/O Pad Buffer for Mixed-Voltage Application
Get PDFA new circuit design of digital bidirectional input/output (I/O) pad buffer for mixed voltage is presented. The digictal bidirectional I/0 buffer is designed to avoid reflections by matching the output impedance to the 50 ohms of the transmission line and having overshoots and undershoots below 300mV by increasing the output impedance. The digital bidirectional I/O pad buffer provides minimum delays between input and output and minimum rising and falling times. The proposed digital bidirectional I/O pad buffer was designed, simulated and layouted in Cadence using in TSMC 0.18um CMOS process with a linear resistive element electrically connected at an I/O pad for limiting a processed data I/O signal. The output rising time and falling time are 0.42 ns and 0.93 ns with 3pF load respectively. The final chip area is only 5 um2
Noise reduction system by using CNN deep learning model
Get PDFIn this paper, we propose a new algorithm to reduce the acoustic noise of hearing aids. This algorithm improves the noise reduction performance by the deep learning algorithm using the neural network adaptive prediction filter instead of the existing adaptive filter. The speech is estimated from a single input speech signal containing noise using a 80-neuron, 16-filter convolutional neural network(CNN) filter and an error backpropagation algorithm. This is by using the quasi-periodic property of the voiced section in the speech signal, and it is possible to predict the speech more effectively by applying the repeated pitch. In order to verify the performance of the noise reduction system proposed in this research, a simulation program using Tensorflow and Keras libraries was coded and a simulation was done. As a result of the experiment, the proposed deep learning model improves the mean square error(MSE) of 28.5% compared to using the existing adaptive filter and 17.2% compared to using the FNN(full-connected neural network) filter
Diversity Enhancement of MIMO System with GA Optimized Linear Precoding of Orthogonal Space-Time Block Codes
Get PDFThe MIMO (Multiple-Input Multiple-Output) systems in the field of digital communications make it possible to improve data transmission according to two main parameters which are often antagonistic: the information rate and the transmission reliability estimated in average binary error probability (BEP) term. With such systems, CSI (Channel State Information) on transmission is a key point for reducing the BEP thanks to different power allocation strategies. Thus, a linear precoder on transmission associated with a linear decoder on reception can optimize a particular criterion thanks to this information. This paper proposes a MIMO system with precoded orthogonal space-time block codes (OSTBC) optimized by Genetic Algorithm with ZF and MMSE equalization. The performance evaluation is achieved by BER vs. SNR graphs
Open Source Big Data Platforms and Tools: An Analysis
Get PDFBig data is attracting an excessive amount of interest in the IT and academic sectors. On a regular basis, computer and digital industries generate more data than they have space to store. In the current situation, five billion people have their own mobile phone, and over two billion people are linked globally to exchange various types of data. By 2020, it is estimated that about fifty billion people will be connected to the internet. During2020, data generation, use, and sharing would be forty-four times higher than in previous years. A variety of sectors and organizations are using big data to manage various operations. As a result, a thorough examination of big data's benefits, drawbacks, meaning, and characteristics is needed. The primary goal of this research is to gather information on the various open-source big data tools and platforms that are used by various organizations. In this paper we use a three perspective methodology to identify the strength and weaknesses of the workflow in a open source big data arena. This helps to establish a pipeline of workflow events for both researcher and entrepreneur decision making