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High frequency of low noise amplifier architecture for WiMAX application: A review

10.11591/ijece.v11i3.pp2153-2164
Abu Bakar Ibrahim , Che Zalina Zulkifli , Shamsul Arrieya Ariffin , Nurul Husna Kahar
The low noise amplifier (LNA) circuit is exceptionally imperative as it promotes and initializes general execution performance and quality of the mobile communication system. LNA's design in radio frequency (R.F.) circuit requires the trade-off numerous imperative features' including gain, noise figure (N.F.), bandwidth, stability, sensitivity, power consumption, and complexity. Improvements to the LNA's overall performance should be made to fulfil the worldwide interoperability for microwave access (WiMAX) specifications' prerequisites. The development of front-end receiver, particularly the LNA, is genuinely pivotal for long-distance communications up to 50 km for a particular system with particular requirements. The LNA architecture has recently been designed to concentrate on a single transistor, cascode, or cascade constrained in gain, bandwidth, and noise figure.
Volume: 11
Issue: 3
Page: 2153-2164
Publish at: 2021-06-01

Design and control of grid-connected solar-wind integrated conversion system with DFIG supplying three-phase four-wire loads

10.11591/ijpeds.v12.i2.pp1150-1161
Arjun Kumar GB , Shivashankar Shivashankar , Keshavamurthy Keshavamurthy
This paper describes the architecture and control of an autonomous hybrid solar-wind system (AHSWS) powered distributed generation system supplying to a 3ϕ-4 wire system. It includes a nonlinear controlling technique for maximum power point tracking (MPPT) used in doubly fed induction generator dependent wind energy translation scheme and solar photovoltaic system (SPVS). In the hybrid model, the DC/DC converter output from the PV system is explicitly coupled with the DC-link of DFIG's back-to-back converter. An arithmetical model of the device is developed, derived using a suitable d-q reference frame. The grid-voltage-oriented vector regulation is required to manage the GSC to keep the steady-state voltage of the DC bus and to adjust reactive power on the grid side. Also, the stator-voltageoriented control scheme offers a stable function of DFIG to regulate the RSC on the stator edge for reactive and active power management in this approach. DC/DC converter is being used to maintain the maximum power from SPVS. A Perturb & Observe method is used for tracing maximum power in an SPVS. The simulation designs of 4.0kW DFIG and 4.5kW solar array simulator are built-in SIMPOWER software kit of MATLAB, it is shown to achieve optimum efficiency under various mechanical and electrical circumstances. It can produce rated frequency and voltage in both scenarios.
Volume: 12
Issue: 2
Page: 1150-1161
Publish at: 2021-06-01

Controller design for PV experimental bench with ADRC strategy supervised by Labview created interface

10.11591/ijpeds.v12.i2.pp1162-1176
Naoufel Khaldi , Youssef Barradi , Khalida Zazi , Malika Zazi
The converter control scheme plays an important role in the performance of maximum power point tracking (MPPT) algorithms. In this work, a model has been analysed, designed and simulatedon Power Simulator software and in Matlab Simulink.A hardware implementation using a microcontroller (Arduino Mega 2560 based on ATmega2560) is provided, that operateson feedback from a PV panel voltage and current to control the operation of DCDC converter in order to draw maximum power. Newactive disturbance rejection control (ADRC) algorithm is required to extract the maximum power of the solar energy. This MPPT controller incorporates a boost topology that ensuresa two continuous battery in series (12V, 5Ah) charging in various conditions. The whole of the results shows in one hand that the converter efficiency is very satisfactory, and in the other hand a very good agreement between the results simulated and those experimental in terms of performance. The proposed system is designed in Proteus, and implemented on hardware with a graphical user interface built throughout Labview software.
Volume: 12
Issue: 2
Page: 1162-1176
Publish at: 2021-06-01

Fire-fighting UAV with shooting mechanism of fire extinguishing ball for smart city

10.11591/ijeecs.v22.i3.pp1320-1326
Nastaran Reza Nazar Zadeh , Ameralden H. Abdulwakil , Mike Joshua R. Amar , Bernadette Durante , Christian Vincent Nico Reblando Santos
With the growth of technology and massive city development, firefighting services have become more challenging to cope with a smart-city concept. One of the challenges that firefighters are facing is reaching the top floors of high-raised buildings. Firefighters need heavy and oversized pieces of equipment to reach top floors, which they sometimes fail to deliver on time due to big cities' traffic. The proposed solution to this global problem is using firefighting unmanned aerial vehicle (UAV) to reach the top floors fast and efficiently; It can also provide a better vision for the firefighting team and slow down the spread of fire using fire extinguishing ball. In this paper, a noble design for a Firefighting UAV with shooting and dropping mechanism of fire extinguishing ball has been developed and successfully tested. A Camera with night vision has been integrated into the UAV to provide a helpful aid for firefighters. The UAV has a controller with a 2.4 GHz radio frequency (RF) signal and video surveillance to regulate the UAV's movement. The controller is also for activating the shooting and dropping mechanism. The researchers examined the behavior of the drone in terms of its stability and functionality.
Volume: 22
Issue: 3
Page: 1320-1326
Publish at: 2021-06-01

Design and implementation of multilevel non-isolated DC-DC converter for variable DC voltage source

10.11591/ijpeds.v12.i2.pp994-1005
Ali Ahmed Adam Ismail , A. Elnady
In this paper, a non-isolated multi-level DC-DC (MLDC-DC) smooth buck converter with the LC filter is designed and analyzed. The presented topology can be used in low or medium voltage levels in several applications that use DC storage elements. The use of the proposed multilevel converter topology reduces the voltage stress across the power converter switching elements and facilitates the voltage rating of the switches. The designed LC filter for the multilevel converter is characterized by a small inductor size, which reduces the traditional bulky inductor used in the output of the traditional DC-DC converter. The reduction in the filter size is proportional to the number of the connected voltage sources, it works effectively to reduce ripple in the load currents, and it increases the voltage gain. The intensive analysis of the converter system and the experimental results show a stable operation of the proposed converter with precise output voltage.
Volume: 12
Issue: 2
Page: 994-1005
Publish at: 2021-06-01

Stability and performance evaluation of the speed control of DC motor using state-feedback controller

10.11591/ijeecs.v22.i3.pp1372-1378
Saad A. Salman , Zeyad Assi Obaid , Haider Salim Hameed
Direct current (DC) motor are widely used in many applications due to its accurate control of speed and position. However, a proper control and operation is still required and might be a challenge for control designers. This paper presents the design of a state-feedback control to evaluate the performance of the speed control of DC motor for different applications. The simulation results were carried out with and without disturbance applied to the system. The proposed control method showed a stable system response with both cases of disturbances. Therefore, it can be used to solidate the control of DC motor in the real application.
Volume: 22
Issue: 3
Page: 1372-1378
Publish at: 2021-06-01

The application of instrumentation system on a contactless robotic triage assistant to detect early transmission on a COVID-19 suspect

10.11591/ijeecs.v22.i3.pp1334-1344
Niko Azhari Hidayat , Prisma Megantoro , Abdufattah Yurianta , Amila Sofiah , Shofa Aulia Aldhama , Yutika Amelia Effendi
This article discusses the instrumentation system of airlangga robotic triage assistant version 1 (ARTA-1), a robot used as a contact-free triage assistant for Coronavirus disease (COVID-19) suspects. The triage process consists of automatic vital signs check-up as well as the suspect’s anamnesis that in turns will determine whether the suspect will get a specific care or not. Measurements of a suspect’s vital conditions, i.e. temperature, height, and weight, are carried out with sensors integrated with the Arduino boards, while a touch-free, hand gesture questions and answers is carried out to complete anamnesis process. A portable document format (PDF) format of the triage report, which recommends what to do to the suspect, will then be automatically generated and emailed to a designated medical staff.
Volume: 22
Issue: 3
Page: 1334-1344
Publish at: 2021-06-01

Intelligent control of induction motor without speed sensor

10.11591/ijpeds.v12.i2.pp715-725
M. Elgohary , E. Gouda , S. S. Eskander
This paper presents a proposed sensorless algorithm for induction motor(IM)speed control based on artificial neural networks (ANNs).The Indirect rotor field oriented (IRFO) technique is applied to control the motor. It is designed based on the proportional-integral (PI) controller. The particle swarm optimization (PSO) algorithm is used as a good solution for the problems associated with the design of the proportional-integral (PI) controller gains.The PSO is compared with the conventional methods. The proposed controller (PSO-PI) is then integrated with the artificial neural network(ANN) speed estimator. The MATLAB/Simulink is used for the simulation of the system. The obtained simulation results for the proposed technique are very close to the actual ones.
Volume: 12
Issue: 2
Page: 715-725
Publish at: 2021-06-01

Fruit tree disease classification system using generative adversarial networks

10.11591/ijece.v11i3.pp2508-2515
Changsu Kim , Hyesoo Lee , Hoekyung Jung
Smart farm refers to a farm that can remotely and automatically maintain proper growth and management of crops and livestock by integrating technology with agriculture. Currently, smart farms are concentrated in the field of smart horticulture, and although spreading research is being conducted in limited spaces. In addition, it is difficult to obtain a sufficient amount of data to be used for learning, and there is a problem that data imbalance occurs because it is difficult to obtain a similar amount for each class. In this paper, we propose a method to amplify a small amount of data and to solve the problems of imbalance data by using a feature that can learn to mimic the data of a generative adversarial network. The proposed method can create dataset of various crops and also show high hit rate. Dataset generated from crops would be used to solve problems of data imbalance by learning.
Volume: 11
Issue: 3
Page: 2508-2515
Publish at: 2021-06-01

Automated tumor segmentation in MR brain image using fuzzy c-means clustering and seeded region methodology

10.11591/ijai.v10.i2.pp284-290
Mustafa Zuhaer Nayef AL-Dabagh
Automated segmentation of a tumor is still a considerably exciting research topic in the medical imaging processing field, and it plays a considerable role in forming a right diagnosis, to aid effective medical treatment. In this work, a fully automated system for segmentation of the brain tumor in MRI images is introduced. The suggested system consists of three parts: Initially, the image is pre-processed to enhance contrast, eliminate noise, and strip the skull from the image using filtering and morphological operations. Secondly, segmentation of the image happens using two techniques, fuzzy c-means clustering (FCM) and with the application of a seeded region growing algorithm (SGR). Thirdly, this method proposes a post-processing step to smooth segmentation region edges using morphological operations. The testing of the proposed system involved 233 patients, which included 287 MRI images. A comparison of the results ensued, with the manual verification of the traces performed by doctors, which ultimately proved an average Dice Coefficient of 90.13% and an average Jaccard Coefficient of 82.60% also, by comparison with traditional segmentation techniques such as FCM method. The segmentation results and quantitative data analysis demonstrates the effectiveness of the suggested system.
Volume: 10
Issue: 2
Page: 284-290
Publish at: 2021-06-01

Review of DC-AC converters for photovoltaic conversion chains

10.11591/ijpeds.v12.i2.pp886-901
Mounir Bouzguenda , Tarek Selmi
This paper is devoted to the state of the art in photovoltaic (PV) conversion chains and their architectures. Two major characteristics are considered to classify these chains. These are the galvanic isolation and the number of stages; characteristics generally localized around the DC-AC converter (inverter) at the end of the PV conversion chain. Therefore, this paper deals with a comprehensive review of the different inverter topologies that can be integrated into PV conversion chains, distinguishing between the transformer based and the transformer-less conversion chains. The paper demonstrates that to this date, transformer-based inverters are very common and widely used, have a long record of accomplishment as a component of solar energy systems, in particular for residential applications because of their greater efficiency, smaller size, and lower costs. Nevertheless, transformer-less chains are touted with some problems and shortcomings.  Moreover, solar energy storage devices, wireless charging systems in stations and along the highways require the re-examination of the existing solar PV conversion chains, their architectures and possibly new conversion chains suitable for all distributed generation including electric cars and storage devices.
Volume: 12
Issue: 2
Page: 886-901
Publish at: 2021-06-01

High clarity speech separation using synchro extracting transform

10.11591/ijece.v11i3.pp2621-2630
Shahin M. Abdulla , J. Jayakumari
Degenerate unmixing estimation technique (DUET) is the most ideal blind source separation (BSS) method for underdetermined conditions with number of sources exceeds number of mixtures. Estimation of mixing parameters which is the most critical step in the DUET algorithm, is developed based on the characteristic feature of sparseness of speech signals in time frequency (TF) domain. Hence, DUET relies on the clarity of time frequency representation (TFR) and even the slightest interference in the TF plane will be detrimental to the unmixing performance. In conventional DUET algorithm, short time Fourier transform (STFT) is utilized for extracting the TFR of speech signals. However, STFT can provide on limited sharpness to the TFR due to its inherent conceptual limitations, which worsens under noise contamination. This paper presents the application of post-processing techniques like synchro squeezed transform (SST) and synchro extracting transform (SET) to the DUET algorithm, to improve the TF resolution. The performance enhancement is evaluated both qualitatively and quantitatively by visual inspection, Renyi entropy of TFR and objective measures of speech signals. The results show enhancement in TF resolution and high clarity signal reconstruction. The method also provides adequate robustness to noise contamination.
Volume: 11
Issue: 3
Page: 2621-2630
Publish at: 2021-06-01

Implementation of performance assessment in STEM-based science learning to improve students’ habits of mind

10.11591/ijere.v10i2.21084
M. Yakob , H. Hamdani , R. P. Sari , A. G. Haji , N. Nahadi
This study described the implementation of STEM-based science learning and performance assessment to the improvement of students’ thinking skill in Aceh, Indonesia. The purposive sampling technique was employed in this descriptive research. The respondents were 300 students at grade 11th academic year 2019/2020 which representing five public high schools in Aceh, Indonesia. The instruments used to measure the effectiveness of the implementation of STEM-based science learning were the rubric of habits of mind, observation sheets of performance assessments, and questionnaires. The finding presented the implementation of STEM-based science learning was able to habituate and develop students' habits of mind with an average score of 0.71 which included into high category. The average value of the overall STEM-based science learning implementation for the formation of habits of mind is 95.98% which categorized as good. It can be concluded that there is the success of researchers in implementing STEM-based science learning to form students' habits of mind.
Volume: 10
Issue: 2
Page: 624-631
Publish at: 2021-06-01

Low power circuit design using NCL based asynchronous method

10.11591/ijeecs.v22.i3.pp1284-1294
Toi Le Thanh , Lac Truong Tri , Trang Hoang
The null convention logic (NCL) based circuit design methodology eliminates the problems related to noise, clock tree, electromagnetic interference and also reduces significant power consumption. In this paper, we would like to demonstrate the advantage of low power consumption of the NCL based asynchronous circuit design on a large design scale, thus we used the advanced encryption standard (AES) encryption design as an illustrative example. In addition, we also proposed two pipelined AES encryption models using the synchronous circuit design technique and the asynchronous circuit design technique based on NCL. Besides, these two models were realized by using version control system (VCS) tool to simulate and Design Compiler tool to synthesize parameters in power consumption, processing speed and area. The synthesis results of these two models indicated that power consumption of the NCL based asynchronous AES encryption model had a decrease of 71% compared with the synchronous AES encryption model. Moreover, we show the outstanding advantage of the power consumption of the NCL based asynchronous design model (a decrease of 91.12% and 93,23%) compared to the synchronous design model using clock gating technique and without using clock gating technique respectively.
Volume: 22
Issue: 3
Page: 1284-1294
Publish at: 2021-06-01

Analysis of thermal-electrical performance of PVT collector with reflectors

10.11591/ijpeds.v12.i2.pp1045-1054
Hanan Boulaich , Assia Benkaddour , Ouafae Hamdoun , Elhassan Aroudam
This work concerns numerical studies of PVT air collector operating in dynamic mode. We presented the temperature of the solar cells and of the air at the outlet of the PVT collector with and without reflectors. The obtained simulation results has been validated by comparating with the experimental results available in literature, where good agreement was been noted. In addition, we determine the optimal position of the reflectors by numerical calculation, in order to obtain the maximal concentration of the solar radiation intensity on PV/T collector. The thermal and electrical efficiency of PV/T collector without reflectors and with reflectors in optimal position have been calculated for composite climate at Tetouan (-5°N, 35.5°E). So, the effect of adding solar reflectors on the electrical and thermal performance is showing.
Volume: 12
Issue: 2
Page: 1045-1054
Publish at: 2021-06-01
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