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  Subjects -> ELECTRONICS (Total: 207 journals)
Showing 1 - 200 of 277 Journals sorted by number of followers
IEEE Transactions on Aerospace and Electronic Systems     Hybrid Journal   (Followers: 313)
Control Systems     Hybrid Journal   (Followers: 252)
IEEE Transactions on Geoscience and Remote Sensing     Hybrid Journal   (Followers: 205)
Journal of Guidance, Control, and Dynamics     Hybrid Journal   (Followers: 197)
Electronics     Open Access   (Followers: 140)
Advances in Electronics     Open Access   (Followers: 135)
Electronic Design     Partially Free   (Followers: 131)
Electronics For You     Partially Free   (Followers: 130)
IEEE Antennas and Propagation Magazine     Hybrid Journal   (Followers: 123)
IEEE Power Electronics Magazine     Full-text available via subscription   (Followers: 91)
IEEE Antennas and Wireless Propagation Letters     Hybrid Journal   (Followers: 90)
IEEE Transactions on Power Electronics     Hybrid Journal   (Followers: 89)
IEEE Transactions on Industrial Electronics     Hybrid Journal   (Followers: 84)
IEEE Transactions on Software Engineering     Hybrid Journal   (Followers: 84)
IEEE Transactions on Antennas and Propagation     Full-text available via subscription   (Followers: 81)
IET Power Electronics     Open Access   (Followers: 70)
IEEE Transactions on Automatic Control     Hybrid Journal   (Followers: 67)
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of     Hybrid Journal   (Followers: 63)
IEEE Embedded Systems Letters     Hybrid Journal   (Followers: 62)
IEEE Transactions on Industry Applications     Hybrid Journal   (Followers: 58)
Canadian Journal of Remote Sensing     Full-text available via subscription   (Followers: 54)
IEEE Journal of Emerging and Selected Topics in Power Electronics     Hybrid Journal   (Followers: 54)
Advances in Power Electronics     Open Access   (Followers: 49)
IEEE Nanotechnology Magazine     Hybrid Journal   (Followers: 45)
IEEE Transactions on Consumer Electronics     Hybrid Journal   (Followers: 45)
Journal of Electrical and Electronics Engineering Research     Open Access   (Followers: 41)
IEEE Transactions on Biomedical Engineering     Hybrid Journal   (Followers: 35)
IET Microwaves, Antennas & Propagation     Open Access   (Followers: 34)
IEEE Transactions on Circuits and Systems for Video Technology     Hybrid Journal   (Followers: 34)
Journal of Physics B: Atomic, Molecular and Optical Physics     Hybrid Journal   (Followers: 32)
American Journal of Electrical and Electronic Engineering     Open Access   (Followers: 30)
Electronics Letters     Open Access   (Followers: 28)
IEEE Transactions on Information Theory     Hybrid Journal   (Followers: 28)
Bell Labs Technical Journal     Hybrid Journal   (Followers: 27)
Microelectronics and Solid State Electronics     Open Access   (Followers: 27)
International Journal of Power Electronics     Hybrid Journal   (Followers: 24)
International Journal of Aerospace Innovations     Full-text available via subscription   (Followers: 24)
Journal of Sensors     Open Access   (Followers: 23)
International Journal of Image, Graphics and Signal Processing     Open Access   (Followers: 22)
IEEE Reviews in Biomedical Engineering     Hybrid Journal   (Followers: 20)
IEEE/OSA Journal of Optical Communications and Networking     Hybrid Journal   (Followers: 19)
IEEE Transactions on Electron Devices     Hybrid Journal   (Followers: 18)
Journal of Artificial Intelligence     Open Access   (Followers: 18)
Journal of Power Electronics & Power Systems     Full-text available via subscription   (Followers: 17)
IET Wireless Sensor Systems     Open Access   (Followers: 17)
Circuits and Systems     Open Access   (Followers: 16)
Archives of Electrical Engineering     Open Access   (Followers: 15)
International Journal of Control     Hybrid Journal   (Followers: 14)
IEEE Transactions on Signal and Information Processing over Networks     Hybrid Journal   (Followers: 14)
International Journal of Advanced Research in Computer Science and Electronics Engineering     Open Access   (Followers: 14)
IEEE Women in Engineering Magazine     Hybrid Journal   (Followers: 13)
Advances in Microelectronic Engineering     Open Access   (Followers: 13)
IEEE Solid-State Circuits Magazine     Hybrid Journal   (Followers: 13)
Machine Learning with Applications     Full-text available via subscription   (Followers: 12)
Intelligent Transportation Systems Magazine, IEEE     Full-text available via subscription   (Followers: 12)
IEEE Transactions on Broadcasting     Hybrid Journal   (Followers: 12)
IEEE Transactions on Learning Technologies     Full-text available via subscription   (Followers: 12)
IEICE - Transactions on Electronics     Full-text available via subscription   (Followers: 11)
International Journal of Sensors, Wireless Communications and Control     Hybrid Journal   (Followers: 11)
International Journal of Microwave and Wireless Technologies     Hybrid Journal   (Followers: 11)
International Journal of Advanced Electronics and Communication Systems     Open Access   (Followers: 11)
Journal of Low Power Electronics     Full-text available via subscription   (Followers: 11)
Open Journal of Antennas and Propagation     Open Access   (Followers: 10)
Solid-State Electronics     Hybrid Journal   (Followers: 10)
International Journal of Advances in Telecommunications, Electrotechnics, Signals and Systems     Open Access   (Followers: 10)
IETE Journal of Research     Open Access   (Followers: 10)
Batteries     Open Access   (Followers: 9)
Electronics and Communications in Japan     Hybrid Journal   (Followers: 9)
International Journal of Wireless and Microwave Technologies     Open Access   (Followers: 9)
IETE Technical Review     Open Access   (Followers: 9)
Nature Electronics     Hybrid Journal   (Followers: 9)
Journal of Signal and Information Processing     Open Access   (Followers: 9)
APSIPA Transactions on Signal and Information Processing     Open Access   (Followers: 8)
IEEE Journal of the Electron Devices Society     Open Access   (Followers: 8)
International Journal of Electronics and Telecommunications     Open Access   (Followers: 8)
Journal of Electromagnetic Waves and Applications     Hybrid Journal   (Followers: 8)
China Communications     Full-text available via subscription   (Followers: 8)
Superconductivity     Full-text available via subscription   (Followers: 8)
IEEE Transactions on Autonomous Mental Development     Hybrid Journal   (Followers: 8)
Journal of Low Power Electronics and Applications     Open Access   (Followers: 8)
International Journal of Antennas and Propagation     Open Access   (Followers: 8)
Journal of Electronic Design Technology     Full-text available via subscription   (Followers: 8)
Advances in Electrical and Electronic Engineering     Open Access   (Followers: 8)
Universal Journal of Electrical and Electronic Engineering     Open Access   (Followers: 7)
Power Electronic Devices and Components     Open Access   (Followers: 7)
Foundations and Trends® in Signal Processing     Full-text available via subscription   (Followers: 7)
Nanotechnology, Science and Applications     Open Access   (Followers: 7)
IEEE Magnetics Letters     Hybrid Journal   (Followers: 7)
Progress in Quantum Electronics     Full-text available via subscription   (Followers: 7)
Foundations and Trends® in Communications and Information Theory     Full-text available via subscription   (Followers: 6)
Metrology and Measurement Systems     Open Access   (Followers: 6)
Advances in Biosensors and Bioelectronics     Open Access   (Followers: 6)
International Journal of Systems, Control and Communications     Hybrid Journal   (Followers: 6)
Kinetik : Game Technology, Information System, Computer Network, Computing, Electronics, and Control     Open Access   (Followers: 6)
International Journal of Electronics     Hybrid Journal   (Followers: 6)
IEICE - Transactions on Information and Systems     Full-text available via subscription   (Followers: 6)
Research & Reviews : Journal of Embedded System & Applications     Full-text available via subscription   (Followers: 6)
Journal of Power Electronics     Hybrid Journal   (Followers: 6)
Annals of Telecommunications     Hybrid Journal   (Followers: 6)
Electronic Markets     Hybrid Journal   (Followers: 6)
Energy Storage Materials     Full-text available via subscription   (Followers: 6)
IEEE Transactions on Services Computing     Hybrid Journal   (Followers: 5)
International Journal of Computational Vision and Robotics     Hybrid Journal   (Followers: 5)
Journal of Optoelectronics Engineering     Open Access   (Followers: 5)
Journal of Electromagnetic Analysis and Applications     Open Access   (Followers: 5)
Journal of Field Robotics     Hybrid Journal   (Followers: 5)
Journal of Electronics (China)     Hybrid Journal   (Followers: 5)
Batteries & Supercaps     Hybrid Journal   (Followers: 5)
IEEE Pulse     Hybrid Journal   (Followers: 5)
Journal of Microelectronics and Electronic Packaging     Hybrid Journal   (Followers: 4)
Networks: an International Journal     Hybrid Journal   (Followers: 4)
EPE Journal : European Power Electronics and Drives     Hybrid Journal   (Followers: 4)
Advanced Materials Technologies     Hybrid Journal   (Followers: 4)
Frontiers in Electronics     Open Access   (Followers: 4)
Wireless and Mobile Technologies     Open Access   (Followers: 4)
Synthesis Lectures on Power Electronics     Full-text available via subscription   (Followers: 4)
Journal of Energy Storage     Full-text available via subscription   (Followers: 4)
IEEE Transactions on Haptics     Hybrid Journal   (Followers: 4)
Journal of Electrical Engineering & Electronic Technology     Hybrid Journal   (Followers: 4)
Journal of Circuits, Systems, and Computers     Hybrid Journal   (Followers: 4)
International Journal of Review in Electronics & Communication Engineering     Open Access   (Followers: 4)
Electronic Materials Letters     Hybrid Journal   (Followers: 4)
Journal of Biosensors & Bioelectronics     Open Access   (Followers: 4)
Biomedical Instrumentation & Technology     Hybrid Journal   (Followers: 4)
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems)     Open Access   (Followers: 3)
Informatik-Spektrum     Hybrid Journal   (Followers: 3)
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits     Hybrid Journal   (Followers: 3)
International Journal of Numerical Modelling: Electronic Networks, Devices and Fields     Hybrid Journal   (Followers: 3)
Advancing Microelectronics     Hybrid Journal   (Followers: 3)
International Journal of Applied Electronics in Physics & Robotics     Open Access   (Followers: 3)
IETE Journal of Education     Open Access   (Followers: 3)
Superconductor Science and Technology     Hybrid Journal   (Followers: 3)
Sensors International     Open Access   (Followers: 3)
e-Prime : Advances in Electrical Engineering, Electronics and Energy     Open Access   (Followers: 3)
EPJ Quantum Technology     Open Access   (Followers: 3)
Frontiers of Optoelectronics     Hybrid Journal   (Followers: 3)
Transactions on Electrical and Electronic Materials     Hybrid Journal   (Followers: 2)
ACS Applied Electronic Materials     Open Access   (Followers: 2)
IET Smart Grid     Open Access   (Followers: 2)
Energy Storage     Hybrid Journal   (Followers: 2)
Journal of Microwave Power and Electromagnetic Energy     Hybrid Journal   (Followers: 2)
Australian Journal of Electrical and Electronics Engineering     Hybrid Journal   (Followers: 2)
Journal of Information and Telecommunication     Open Access   (Followers: 2)
TELKOMNIKA (Telecommunication, Computing, Electronics and Control)     Open Access   (Followers: 2)
Journal of Semiconductors     Full-text available via subscription   (Followers: 2)
Radiophysics and Quantum Electronics     Hybrid Journal   (Followers: 2)
International Transaction of Electrical and Computer Engineers System     Open Access   (Followers: 2)
Journal of Intelligent Procedures in Electrical Technology     Open Access   (Followers: 2)
Sensing and Imaging : An International Journal     Hybrid Journal   (Followers: 2)
Security and Communication Networks     Hybrid Journal   (Followers: 2)
Journal of Nuclear Cardiology     Hybrid Journal   (Followers: 2)
ECTI Transactions on Electrical Engineering, Electronics, and Communications     Open Access   (Followers: 1)
IET Energy Systems Integration     Open Access   (Followers: 1)
Majalah Ilmiah Teknologi Elektro : Journal of Electrical Technology     Open Access   (Followers: 1)
International Journal of Granular Computing, Rough Sets and Intelligent Systems     Hybrid Journal   (Followers: 1)
IEEE Letters on Electromagnetic Compatibility Practice and Applications     Hybrid Journal   (Followers: 1)
Journal of Computational Intelligence and Electronic Systems     Full-text available via subscription   (Followers: 1)
Електротехніка і Електромеханіка     Open Access   (Followers: 1)
Open Electrical & Electronic Engineering Journal     Open Access   (Followers: 1)
IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology     Hybrid Journal   (Followers: 1)
Journal of Advanced Dielectrics     Open Access   (Followers: 1)
Transactions on Cryptographic Hardware and Embedded Systems     Open Access   (Followers: 1)
International Journal of Hybrid Intelligence     Hybrid Journal   (Followers: 1)
Ural Radio Engineering Journal     Open Access   (Followers: 1)
IET Cyber-Physical Systems : Theory & Applications     Open Access   (Followers: 1)
Edu Elektrika Journal     Open Access   (Followers: 1)
Power Electronics and Drives     Open Access   (Followers: 1)
Automatika : Journal for Control, Measurement, Electronics, Computing and Communications     Open Access  
npj Flexible Electronics     Open Access  
Elektronika ir Elektortechnika     Open Access  
Emitor : Jurnal Teknik Elektro     Open Access  
IEEE Solid-State Circuits Letters     Hybrid Journal  
IEEE Open Journal of Industry Applications     Open Access  
IEEE Open Journal of the Industrial Electronics Society     Open Access  
IEEE Open Journal of Circuits and Systems     Open Access  
Journal of Electronic Science and Technology     Open Access  
Solid State Electronics Letters     Open Access  
Industrial Technology Research Journal Phranakhon Rajabhat University     Open Access  
Journal of Engineered Fibers and Fabrics     Open Access  
Jurnal Teknologi Elektro     Open Access  
IET Nanodielectrics     Open Access  
Elkha : Jurnal Teknik Elektro     Open Access  
JAREE (Journal on Advanced Research in Electrical Engineering)     Open Access  
Jurnal Teknik Elektro     Open Access  
IACR Transactions on Symmetric Cryptology     Open Access  
Acta Electronica Malaysia     Open Access  
Bioelectronics in Medicine     Hybrid Journal  
Chinese Journal of Electronics     Open Access  
Problemy Peredachi Informatsii     Full-text available via subscription  
Technical Report Electronics and Computer Engineering     Open Access  
Jurnal Rekayasa Elektrika     Open Access  
Facta Universitatis, Series : Electronics and Energetics     Open Access  
Visión Electrónica : algo más que un estado sólido     Open Access  
Telematique     Open Access  
International Journal of Nanoscience     Hybrid Journal  
International Journal of High Speed Electronics and Systems     Hybrid Journal  
Semiconductors and Semimetals     Full-text available via subscription  

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Similar Journals
Journal Cover
TELKOMNIKA (Telecommunication, Computing, Electronics and Control)
Journal Prestige (SJR): 0.265
Citation Impact (citeScore): 1
Number of Followers: 2  

  This is an Open Access Journal Open Access journal
ISSN (Print) 1693-6930 - ISSN (Online) 2302-9293
Published by Universitas Ahmad Dahlan Homepage  [6 journals]
  • Planar broadband antenna for 2G/3G systems

    • Authors: Ashutosh Singh Chauhan; Priyansh Kasyap, Ankit Gupta, Debani Prasad Mishra, Surender Reddy Salkuti, Seong-Cheol Kim
      Abstract: A planar antenna with broadband gestalt is presented for mobile networks. The structure of the antenna is made up of a folded dipole pair with an L-figure microstrip coupling line. The microstrip coupling along with the dipoles are attached on the similar substrate. The radiation parts are plotted at 1.7, 2.2 and 2.7 GHz. A flexible coaxial cable made of PEC material is attached to the L-figure microstrip whereas the outside conductor made up of RO4350B material is attached to the coplanar strip of line. The gain of the antenna is almost 9 dBi. The benefit of the planar structure is that it offers a simple feeding structure and compact size that is necessary for 2G/3G/LTE systems. Finally the antenna proposed is designed by using CST Microwave Studio.
      PubDate: Wed, 01 Jun 2022 00:00:00 +000
  • A Novel Wideband Circularly-Polarized Microstrip Antenna Array Based On
           Defected Ground Structure For Wireless Power Transmission

    • Authors: Fatima OUBERRI; Abdelali Tajmouati, Noha Chahboun, Larbi El Abdellaoui, Mohamed Latrache
      Abstract: The requirement for applications operating at a variety of frequencies in a unified wireless device has greatly enhanced in recent years. For this purpose, multi-functional wireless components are essential. This paper presents a new design of a wideband circularly-polarized microstrip antenna array with defected ground structure (DGS). A previous design was introduced in [1], which cover the C-band at 5.8GHz and operates in the Industrial Scientific Medical band (ISM) for wireless communication applications. The proposed antenna has excellent performances which include good input impedance matching with fed of the circular polarization at 5.8GHz. The proposed design is validated and optimized by adding a new design of the defective ground structure. This aperture geometry enables the antenna to operate in a wide band. The obtained results show that the modified antenna has a good performance in terms of return loss, bandwidth, gain, and radiation pattern and demonstrate that the proposed antenna offers a good solution for multi-standard wireless communication applications
      PubDate: Wed, 01 Jun 2022 00:00:00 +000
  • Design and Bandwidth Enhancement of Zeroth-Order Resonator Antenna using

    • Authors: Sadiq Ahmed; Zaid A. Abdul Hassain, Hussein A. Abdulnabi, Mohammed AL-Saadi
      Abstract: In this paper, a compact configuration of zeroth-order resonator antenna is described. The unit cell zeroth-order resonator properties are introduced by composite right/left-handed transmission line approach is fed by coplanar waveguide. The proposed resonator is analyzed by changing the coupling space and stub length of the unit cell. The size of implemented resonator is (0.185λ0 ×0.185λ0×0.027λ0) at the centre frequency. In this work, a zeroth-order resonator antenna design  with enhanced bandwidth has been presented, and the size reduction by using the metamaterial inclusion. The proposed ZORA achieves a 64% reduction compared to a traditional λ/2 microstrip patch antenna. The bandwidth for the 10 dB return loss is 5.66 GHz (2.76-8.42 GHz), the peak value of gain is 0.8 dBi and radiation efficiency of the designed antenna is 87% at 5.5GHz. The return loss is about -59.48 dB at the center frequency. The competition among the simulated performances and other antennas shows that the proposed resonator achieves wide bandwidth.  The performance of zeroth-order resonator antenna is evaluated by full-wave EM simulator HFSS11.
      PubDate: Wed, 01 Jun 2022 00:00:00 +000
  • Low Overhead Optimal Parity Codes

    • Authors: Neelima K; C. Subhas
      Abstract: The error detecting and correcting codes are used in critical applications like in intensive care units, defense applications, etc require highly reliable data. This brief focuses on developing EDAC codes capable of detecting and correcting adjacent errors within a single clock cycle by using modulo-2 addition of data bits for parity generation, syndrome calculation, error location identification and correction by improving code rate and minimizing bit overhead. The optimal parity codes devised can correct odd number of adjacent errors upto (N/2)-1 data bits when compared with the existing codes with less delay. Four optimal codes are proposed based on the properties specified by existing decimal matrix codes which are further optimized. All the codes are evaluated for their performance in terms of area, delay, power, bit overhead, code rate, code efficiency, etc. The proposed codes are better choice with an assurance of good reliability. The EDAC components are developed in Verilog HDL and verified for Zynq 7000 series FPGA in Xilinx ISE 14.5 Tool. Among the four codes devised, optimal code – 4 proves to be a better code with 65.3% code rate and 53.12% bit overhead. Also when compared other codes, it uses 33.3%  less area and 1.89% less power delay product for encoder and 32.2% less area and 0.36% power delay product for decoder respectively.
      PubDate: Wed, 01 Jun 2022 00:00:00 +000
  • A Hybrid Soft Bit Flipping Decoder Algorithm for effective signal
           transmission and reception

    • Authors: Shaik Asif. Hussain; J Chinna Babu, Raza Hasan, Salman Mahmood
      Abstract: The Euclidean Geometry (EG) based Low-Density Parity Check (LDPC) codes are enciphered and deciphered in various modes. These algorithms have the back-and-forth between decoding delay, and power usage, device unpredictability resources, and error rate efficacy are all available with these methods. As a result, the goal of this paper is to develop a comprehensive method to describe both soft and burst error bits for optimal data transfer. As a result, for EG-LDPC codes, a Hybrid Soft Bit Flipping (HSBF) decoder is suggested, which decreases decoding complications while improving message data transfer. A simulation model is formed using Xilinx synthesis and SPARTAN 3e to study decoding latency, hardware usage, and power usage. A Hybrid Soft Bit Flipping (HSBF) or SRWSBF decoder is used in this paper, which accepts a 64-bit coding sequence and assigns 64 Adjustable nodes to it. It checks all Customizable cluster connections and quantifies adjustable node values and actions. According to the simulation findings, the suggested method achieves outstanding results, reducing average latency to 19.65 percent, reducing power consumption to 31.68 percent, reducing hardware utilization to 3.25 percent, and reducing the number of slices Flip-flop resource use to 1.85 percent. As a consequence of the data collected, our simulation model demonstrates that the Hybrid Soft Bit Flipping (HSBF) technique outperforms Soft Bit Flipping (SBF) algorithms. As a result, the techniques are ideal for usage in intermediate applications and as well as in cyber security processing technologies, medical applications
      PubDate: Wed, 01 Jun 2022 00:00:00 +000
  • Empirical Measurement for Path Loss Characteristics at Multiple Frequency
           Bands from 2.2 to 14.6 GHz in Chamber Room

    • Authors: A.B. Basri; K. Badron, A.F. Ismail, A. Chanik, M. Ismail
      Abstract: Free Space Path Loss (FSPL) is the loss of electromagnetic signal strength. This loss is caused by the line-of-sight path through free space without obstacles that hinder reflection or diffraction. Even in a LoS (Line of Sight) indoor single layer, as the distance increases, the path loss in the 1 GHz frequency band also exceeds the free space path loss. This is because the first Fresnel zone is shielded by the floor and ceiling. In order to improve the measurement results, a fully covered anechoic chamber is used in this empirical measurement, which is designed to completely absorb any signal reflections. The measurement is based on multiple frequency bands from 2.23201 GHz to 14.685 GHz. This article details how to achieve it. Measurements are made to establish the correlation between the power transmit value and the frequency value. This movement involves the establishment of microwave link transmissions, which include transmitters, receivers and related antennas with different displacements. Use a signal generator to control the transmit power and use a Vector Network Analyzer in the electromagnetic compatibility (EMC) room to measure the received power level. Appropriate analysis that determines the correlation. The logarithm function developed based on the empirical experiment conducted, the result suggested the formulation of LFS . These findings enable people to understand the required FSPL value as the power transmission and frequency change during each measurement. The collected data will also be used to investigate free space path loss formulas applicable to satellite links in tropical regions.
      PubDate: Wed, 01 Jun 2022 00:00:00 +000
  • Design of a microstrip antenna patch with a rectangular slot for 5G
           applications operating at 28GHz

    • Authors: Salah-Eddine DIDI; Imane HALKHAMS, Mohammed FATTAH, Younes BALBOUL, Said MAZER, Moulhime EL BEKKALI
      Abstract: In this paper, we present a study and design of a rectangular-shaped microstrip patch antenna with a rectangular shaped slot at the operating frequency is 28GHz, for 5G wireless applications, using the microstrip line technique for feeding. The objective of this slot is to contribute to the improvement of antenna performance. This antenna is built on a Roger RT Duroid 5880 type substrate having a relative permittivity equal to 2.2, a height of h= 0.5mm, and a loss tangent of 0.0009. The compact size of this antenna is 4.2 mm×3.3 mm×0.5 mm. The simulations of this antenna were performed using HFSS (High-Frequency Structure Simulator) and CST (Computer Simulation Technology) software whose main purpose is to confirm the results obtained for this proposed antenna. The results obtained during these simulations are as follows: resonant frequency of 27.97 GHz and reflection coefficient (S11) of -20.95 dB, bandwidth of 1.06 GHz, a gain of 7.5 dB, radiated power of 29.9 dBm, and efficiency of 99.83%. These results obtained by this proposed antenna are better than those obtained from already existing antennas that are published in current scientific journals. Consequently, this antenna is likely to satisfy the needs for 5G wireless communication applications.
      PubDate: Wed, 01 Jun 2022 00:00:00 +000
  • Reconfigurable PIFA antenna for RFID tag and GPS applications

    • Authors: Assiya Amri; Tomader Mazri
      Abstract: This paper presents the design of a reconfigurable PIFA (Planar Inverted-F Antenna) antenna. The proposed antenna is designed and optimized to operate in two frequency bands. 2.4 GHz allocated to the ISM band for the identification of a set of vehicules within a given area, and 1.575 GHz allocated to the GPS band to locate them outside. The ISM band is used for microwave frequencies for active RFID tag, which is associated with the object to be identified. This antenna consists of two radiating elements connected by a PIN diode to obtain the frequency reconfigurability. Its total size is 30x50x7 mm3. The substrate used is FR4 with constant dielectric relativity of 4.4 and a height of 1.6 mm. CST Microwave Studio software is used to simulate and optimize the proposed reconfigurable PIFA antenna
      PubDate: Wed, 01 Jun 2022 00:00:00 +000
  • Model Development for Pneumonia Detection from Chest Radiograph using
           Transfer Learning

    • Authors: Fagbuagun Ojo Abayomi, Nwankwo Obinna, Akinpelu S. A; Folorunsho O
      Abstract: Accurate interpretation of chest radiographs outcome in epidemiological studies facilitates the process of correctly identifying chest-related or respiratory diseases.  Despite the fact that radiological results have been used in the past and is being continuously used for diagnosis of pneumonia and other respiratory diseases, there abounds much variability in the interpretation of chest radiographs.  This variability often leads to wrong diagnosis due to the fact that chest diseases often have common symptoms. Moreover, there is no single reliable test that can identify the symptoms of pneumonia. Therefore, this paper presents a standardized approach using Convolutional Neural Network (CNN) and transfer learning technique for identifying pneumonia from chest radiographs that ensure accurate diagnosis and assist physicians in making precise prescriptions for the treatment of pneumonia. A training set consisting of 5,232 OCT and Chest X-ray images dataset from Mendelev public database was used for this research and the performance evaluation of the model developed on the test set yielded 88.14% accuracy, 90% precision, 85% recall and f1 score of 0.87. 
      PubDate: Wed, 01 Jun 2022 00:00:00 +000
  • Enhancement Process of AES: A Lightweight Cryptography Algorithm-AES For
           Constrained Devices

    • Authors: Hussein M. Mohammad; Alharith A. Abdullah
      Abstract: The restricted devices have a small memory, simple processor, and limited power. To secure them, we need lightweight cryptography algorithms, taking into account the limited specifications. Lightweight encryption algorithms (LWC) provide confidentiality and maintain information integrity for devices with limited resources such as smart cards, RFID tags, sensor networks, and embedded systems. They have the same levels of security as traditional cryptographic algorithms. Significant challenges face LWC's efficiency and robustness, such as small size, limited computational capacity, limited memory, and devices' power supplies against providing high-security levels. This paper improves and enhances Advanced Encryption Standard (AES) algorithm by reducing algorithm computation power (time consumption, Memory-RAM and CPU Usage ) and improving cryptography performance from the point of resource constraint devices. The proposed algorithm is fast and lightweight, which is essential for securing all kinds of data, like text, video, image, Etc. Besides, the use of Mix column overhead is dispense with, and the ciphertext is processed by the mathematical function (continued fraction) to compress the ciphertext and make it more confusing and also to increasing the data transfer speed. All above advantages make the proposed LWC-AES algorithm highly suitable for the timely execution of encryption and decryption (such as when encrypt text has (45.1KB) encryption execution time for AES was (294 ms), while in LWC-AES was 280 ms), as well as suitable for the memory size of the resource-constrained devices for all types of data, than the AES algorithm.  The proposed algorithm tested for security analysis using the Avalanche Effect parameter, and this test showed acceptable and within required security results.
      PubDate: Wed, 01 Jun 2022 00:00:00 +000
  • General Rules of Evaluating Binary Number Divisibility on Prime Numbers

    • Authors: Alaa Ghazi Abdulbaqi; Ghadah A. Al-Sakkal, Yasir Hashim
      Abstract: This research paper is to define new rule to find the divisibility of stream of binary on any prime numbers 3, 5, 7 …... with reminder 0. In general, the divisibility of binary numbers is most important in many digital circuits and mathematical applications. This paper explains this new rule for evaluating the divisibility of any binary number on any prime number greater than 2. This rule will depend on separating the binary number into blocks of bits then processes each block separately in a special procedure to find the possible divisibility on the prime number. After testing this new rule with prime numbers 3, 5 and 7 as a sample of prime numbers, the finding shows that this rule provides fast and true results.
      PubDate: Wed, 01 Jun 2022 00:00:00 +000
  • Crime Index Based on Text Mining on Social Media Using Multi Classifier
           Neural-net Algorithm

    • Authors: Teddy Mantoro; M. Anton Permana, Media A. Ayu
      Abstract: Every day criminal issues appear on social media, even some crime news is often very disturbing to the public. Sharing news about crime can give a warning to the public to remain careful and alert to the surrounding environment. However, following large amounts of information about criminals on social media is not effective, especially for people who have a very busy schedule. Therefore, there is a need to efficiently and effectively summarize information in a way that is meaningful and easy to see, attracts people's attention, and can be used by law enforcement officials. The purpose of this study is to present the index crime based on social media by looking for patterns of crime. This study proposes the projected index crime based on crime trends by using text mining to classify tweet texts and post contents into 10 crime classes. The classification method uses the Neural-net Multi Classifier Algorithm which has several Classifiers namely Logistic Regression, Naïve Bayes, Support Vector Machine (SVM), and Decision Tree in parallel. In this approach, the classifier that provides the best accuracy will be the winning classifier and will be used in the next learning process. In this experiment, in using the Multi Classifier Neural-net, the Logistics Regression classifier often provides the best accuracy
      PubDate: Wed, 01 Jun 2022 00:00:00 +000
  • Hiding Health report in X-Ray Images to protect People Privacy

    • Authors: Enas Ali Jameel; Sameera l Abbas Fadhe
      Abstract: X-rays images are a popular medical diagnoses method. These images are hard to read and to be understandable outside the medical community. However, the radiologist writes a report of the X-ray. This report can be understandable easily which, can impact the privacy of the patients medical records. To tackle this issue, in this work, X-ray image steganography algorithm based on Sudoku mathematical game is proposed. The method converts the image into triangular shaped blocks. Subsequently, the data is encoded and segmented two bits at the time to be embedded in the image. To evaluate the algorithm, eight different X-ray images from allX-ray types have been utilized for data hiding process. The algorithm has been compared to the lest significant bit (LSB) and the turtle shell algorithms using the mean square error (MSE) and peak signal to noise ratio (PSNR) performance metric. The proposed algorithm obtained higher bit per pixel embedding capacity with 2bpp which is higher than LSB and turtle shell. Moreover, the algorithm has higher PSNR compared to turtle shell algorithm.
      PubDate: Wed, 01 Jun 2022 00:00:00 +000
  • Overall outage event of self-sustaining low-power cooperative relaying

    • Authors: Hoang-Sy Nguyen; Thanh-Khiet Bui
      Abstract: This paper investigates the implementation of the household low-power energy harvesting (LoPEH) wireless sensor networks (WSN) over log-normal fading channels. The relays are battery-operated and the stochastic harvested energy flow to the batteries is characterized with the Markov property of energy buffer status. The communication is established with the combination of direct link and cooperative relays. The best relay is chosen based on a relay selection (RS) scheme namely optimal relay selection (OPRS). It can be drawn that within a particular range of signal-to-noise ratio (SNR), the EH relay-aided protocol can remarkably boost the overall system performance. On the other hand, the study reports how increasing the log-normal channel variance can degenerate the in-studied EH relaying protocol. 
      PubDate: Wed, 01 Jun 2022 00:00:00 +000
  • Recent Systematic Review on Students’ Performance Prediction Using
           Backpropagation Neural Network Algorithms

    • Authors: Edi Ismanto; Hadhrami Ab. Ghani, Nurul Izrin Binti Md Saleh, Januar Al Amien, Rahmad Gunawan
      Abstract: A thorough systematic study is carried out to identify different deep learning methods developed and applied for students’ academic performance prediction. Although machine learning schemes are previously popular, deep learning algorithms are currently explored to solve challenging predictions of students’ performance with more data attributes in larger datasets. The study is focused on prediction methods developed based on deep neural networks with clear modeling and parameter measurements based on public and recognized datasets. Based on the systematic review, the backpropagation is the most widely employed deep neural network method for predicting the students’ academic performance. Various datasets have been used in literature and the most frequently used datasets are the learning management system (LMS) and the massive open online course (MOOC) datasets. The standard artificial neural network approach is observed to be the most widely adopted method for prediction. For temporal students' performance data, the long short-term memory (LSTM) approach is found to result in a better accuracy value of around 87%. The upward trend towards deep neural network research and development in students’ academic management and prediction is clearly observed from the number of papers in which this method is studied and developed.
      PubDate: Wed, 01 Jun 2022 00:00:00 +000
  • A Novel Fern-like Lines Detection Using a Hybrid of Pre-trained CNN Model
           and Frangi Filter

    • Authors: Heri Pratikno; Mohd Zamri Ibrahim, Jusak Jusak
      Abstract: Full ferning is the peak of the formation of a salt crystallization line pattern shaped like a fern tree in a woman's saliva at the time of ovulation. The main problem in this study is to detect the shape of the salivary ferning line pattern, namely: the presence of layers of transparent line pattern forms, several hidden layers, uneven lighting, dense and irregular ferning line patterns. This study aims to detect transparent, invisible, irregular, and illuminating fern-like lines on the salivary ferning surface using a comparison of 15 pre-trained Convolutional Neural Network models. To reveal fern-like lines in transparent, hidden, and irregular layers, a pre-processing stage was carried out using the Frangi Filter. The pre-trained Convolutional Neural Network model is a framework that promises high precision and accuracy to detect fern-like lines in salivary ferning. Transfer learning can adapt networks that can be used to perform specific tasks. The results of this study using the fixed learning rate model ResNet50 revealed the best performance with an error rate of 4.37% and an accuracy of 95.63%. Meanwhile, in applying the experimental auto-learning rate empirically, ResNet18 achieved the best results with an error rate of 1.99% and an accuracy of 98.01%. The results of visually detecting the form of fern-like lines on salivary ferning using a patch size of 34x34 pixels showed the ResNet34 model gave the best appearance.
      PubDate: Wed, 01 Jun 2022 00:00:00 +000
  • The extraction and segmentation process of Iraqi paper currency

    • Authors: Bassam H. Abd; Bassam H. Abd, Ivan A. Hashim, Shaimaa H. Shaker
      Abstract: Different application like image segmentation, moving objects detection and objects tracking, Required an object detection and segmentation techniques. Recently, these techniques become so important especially when only a specific part of image is important. This research paper present an efficient algorithm that employed for objects detection and extraction process. This algorithm consist of a several steps and the validity of this algorithm is measured based on different denomination of Iraqi currency. These steps arrange as following: image conversion, deleting small and unnecessary objects from images, extraction of interest objects boundary, finally calculating the rotation angle automatically, and rotate image based on the calculated angle. The validity of algorithm measured on the seven denomination of Iraqi currency (250, 500, 1000, 5000, 10000, 25000 and 50000). This image saved in a database that contain 40 image for each denomination and the total images for all denominations are 280 image. After testing the validity of designed algorithm on all captured image, the algorithm show high accuracy which equally to 99.6%.
      PubDate: Wed, 01 Jun 2022 00:00:00 +000
  • Detection of image manipulation with Convolutional Neural Network and
           local feature descriptors

    • Authors: Ali Ahmad Aminu; Nwojo Nnanna Agwu, Steve Adeshina, Muhammed Kabir Ahmed
      Abstract: In recent times, numerous digital image manipulation detection approaches have been proposed to detect which processing operations were applied to manipulate digital images. Most of these approaches consider the situation in which an image is manipulated by only one manipulation operation. However, practical image manipulation often involves multiple manipulation operations. It is important to detect multiple image manipulation operations and the order in which they were applied to establish the origin and genuineness of a given image as well as the processing history it has gone through. In this article, we proposed a new method to determine multiple image processing operation and operation chains based on CNN and Local Optimal Oriented pattern (LOOP). The proposed method is based on Convolutional Neural Network (CNN) and Local Optimal Oriented Patterns (LOOP) in which CNN extracts and learns image manipulation traces from the LOOP maps of the input images that are classified using Softmax, Extra-Tree, and XGBOOST classifiers. Detailed experiments show that the proposed model can attain overall detection accuracies of 99.81% and 99.15% in identifying different image manipulations and manipulation operation chains, respectively.
      PubDate: Wed, 01 Jun 2022 00:00:00 +000
  • Design of UTEM Logo-Shape Wearable Antenna for Communication Application
           made from Graphene- Silver Nanocomposites

    • Authors: Mohd Muzafar Ismail; Jeefferie Abd Razak, Ahmad Rifhan Salman
      Abstract: Previously, the antenna conductive patch was made of copper, which was costly, susceptible to multi-fading, bulky, environmentally sensitive, and difficult to produce. Because of their exceptional electrical conductivity and superior strength to metal, while remaining versatile, the miracle nanotechnology of graphene has made them a possible candidate to replace uncompromising copper metallic content. To the best of our knowledge, in this research work, this is the first time the novel formulation of graphene is incorporated into conductive silver nanocomposites through simulation modeling. With the microstrip feeding technology, the suggested antenna design features a logo-shaped made of graphene and silver patch on a textile substrate and radiates at 2.45GHz frequency. The antenna's total dimensions are 60×60×1.6 mm. CST Studio Suite software was used to generate the simulation results, which are higher gain, higher directivity, larger bandwidth, lower return loss,  higher voltage standing wave ratio (VSWR), and promising overall efficiency as compared to a copper conductive material. Wearable antennas are promising and have a bright future, especially with the advent of wireless communication technologies, so this new design is essential for the materials revolution in advanced communication and IR4.0 applications, as well as wireless sensor applications.
      PubDate: Wed, 01 Jun 2022 00:00:00 +000
  • Benefits of using TiO2 Quantum Dots in producing low-cost and high-quality
           white LEDs

    • Authors: Nguyễn Đoàn Quốc Anh; Phung Ton That, Tran Thanh Trang, Phan Xuan Le, Nguyen Doan Quoc Anh
      Abstract: Quantum dots (QDs) is considered as a potential material for the improvement of light-emitting diodes (LEDs). However, different from the traditional phosphor materials, they have unique scattering and absorption properties affected by their several nanometers sizes, which makes their application in the production of LED confronts more challenges. In addition to this, the influence of QDs on QDs-converted LEDs (QCLEDs) is barely studied. In order to propose solutions for those problems, in this article, we carried out experimental and theoretical investigation of the effect of TiO2 QDs’ scattering and absorption on the optical performance of QCLEDs by comparing their properties with the traditional yttrium aluminum garnet phosphors’. The results showed that the strong absorption (reabsorption) of QDs is the cause of low radiant efficacy and stability of QCLEDs, and their weak scattering ability results in a low color homogeneity. For achieving high efficiency and stability white LEDs, we highly suggest using a low QD concentration to get reductions in the reabsorption loss and the total internal reflection loss. With 0.05 concentration of TiO2 NPs, the white LEDs can achieve a high CCT of ∼7500 K and a high CRI of ∼85 simultaneously. Moreover, this TiO2 concentration can also increase the luminous intensity by ∼31%. Therefore, we believe that the study can propose a potential approach to the production of low-cost CDs-based LEDs with high performance in a near future.
      PubDate: Wed, 01 Jun 2022 00:00:00 +000
  • Energy-efficient speed profile: An optimal approach with fixed running

    • Authors: An Thi Hoai Thu Anh; Nguyen Van Quyen
      Abstract: Tracking the optimal speed profile in electric train operation has been proposed as an efficient and feasible solution for not only reducing energy consumption, but also no at costs to upgrading the existing railway systems. This paper focuses on finding the optimal speed profile based on Pontryagin's maximum principle (PMP) while ensuring the fixed running time, and comparing energy saving levels in the cases of applying or not applying PMP. The way to determine the fixed running time also differs from works published is to calculate the total trip time equal to scheduled timetable exactly. Calculating accelerating time ta, coasting time tc, braking time tb via values of maximum speed vh, braking speed vbof optimal speed profile. The other hands, vh and vb are determined by solving nonlinear equations with constraint condition: the running time equal to the demand time. Simulation results with data collected from electrified trains of Cat Linh-Ha Dong metro line, Vietnam show that energy reduction for the entire route when PMP utilization is up to 8.7% and running time complied with scheduled timetables.
      PubDate: Wed, 01 Jun 2022 00:00:00 +000
  • PID-Based Aneroid Sphygmomanometer Testing Method

    • Authors: Wuwus Ardiatna; Nurdina Gita Pratiwi, Siddiq Wahyu Hidayat, Prayoga Bakti, Asep Rahmat Hidayat, Ihsan Supono
      Abstract: One of the parameters to be tested on the sphygmomanometer is the deflection of the dial. The testing method based on the standard uses manual air pressure to increase the pressure so that the dial is pointed to the desired pressure. This paper proposed an automatic testing method using a Proportional–Integral–Derivative (PID) controller based on Arduino to control the pressure. The result shows that the system is not suitable to use. The process capability index at each given setpoint is less than 1. This low cost proposed testing method still needs to be improved and could become an alternative solution for laboratory testing of the sphygmomanometer.
      PubDate: Wed, 01 Jun 2022 00:00:00 +000
  • Attenuated-Chattering Adaptive Second Order Variable Structure Controller
           for Mismatched Uncertain Systems

    • Authors: Phan-Thanh Nguyen; Trieu Ton Ngoc, Cong-Trang Nguyen
      Abstract: In this paper, an attenuated-chattering adaptive second order variable structure controller (ACASOVSC) is proposed for mismatched uncertain systems using a Moore-Penrose Inverse method. The key achievements of this study include three tasks: 1) influence of the chattering in control input is diminished; 2) finite-time convergence of system states is guaranteed; 3) external disturbance is generally assumed to be unknown in advance. Firstly, a switching manifold which comprises only output information is defined. Secondly, a reduced-order variable structure estimator (ROVSE) with lower dimension is designed to reduce the computation burden and enhance the robustness. Thirdly, an adaptive approach is used to guess the upper bound of the unknown exogenous disturbance. Next, an ACASOVSC is investigated for attenuating the chattering phenomenon and stabilizing the system. Then, a novel linear matrix inequality (LMI) constraint by the Lyapunov technique is given such that the plant is entirely invariant to matched uncertainties and asymptotically stable. Finally, a mathematical illustration is simulated, which exhibits the usefulness and the feasible application of the proposed method.
      PubDate: Wed, 01 Jun 2022 00:00:00 +000
  • An open-source active power controller for grid required ancillary

    • Authors: Nadia Zendehdel; Danyal Bustan
      Abstract: With increasing penetration of renewable energies into modern power systems, supporting grid required ancillary services become a challenging problem. Wind turbines, as one of the main sources of renewable energies, has some inherit features which can be employed to support ancillary services for utility grids. One of the key requirements of grid operators is active power control for frequency regulation. But this requirement cannot addressed with traditional wind turbine controllers as these controllers try to capture maximum of available power while with active power control, the output power should limited to a predefined (time varying) set-point. Although new methods are introduced for active power control, there is no suitable comparison between them because of lack of a standards and easy to implement tools. In this paper, an extension to well-known open source ROSCO controller based on NREL 5 MW FAST model is proposed to support active power control. With this extension, In addition to active power control support the resulted mechanical loads on various turbine parts can be evaluated
      PubDate: Wed, 01 Jun 2022 00:00:00 +000
  • Comparative Study of Extraction Features and Regression Algorithms for
           Predicting Drought Rates

    • Authors: Irza Hartiantio Rahmana; Amalia Rizki Febriyani, Indra Ranggadara, Suhendra Suhendra, Inna Sabily
      Abstract: Rice is the primary staple food source for Indonesian people, with consumption increasing so that rice production needs to be increased. Rice drought is one of the problems that can hamper rice production. This research aims to determine the best extraction feature between the Normalized Difference Vegetation Index (NDVI) and the Normalized Difference Water Index (NDWI) in describing rice fields' dryness. Moreover, using the random forest regression algorithm. This research compares NDVI with NDWI using data originating from Sentinel-2A and retrieved via the google earth engine. Regression Algorithms are used in research to predict drought in paddy fields. This research shows that NDVI is better than NDWI in predicting drought using random forest regression algorithms and logistic regression algorithms. The random forest regression algorithm based on the results obtained shows that the average Root Mean Square Error (RMSE) on NDVI is 0.018, and NDWI is 0.012. Based on the logistic regression algorithm results, it was found that the average value of RMSE on NDVI was 0.346, and NDWI was 0.336. Based on the results of the RMSE, it shows that the forecasting ability of the random forest regression algorithm is better than the logistic regression.
      PubDate: Tue, 01 Mar 2022 00:00:00 +000
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