Articles

Access the latest knowledge in applied science, electrical engineering, computer science and information technology, education, and health.

Advanced Search
Filter Icon

Filters article

Years

FAQ Arrow
Single Year
Range Year
0
0

Source Title

FAQ Arrow

Authors

FAQ Arrow

29,939 Article Results

Malicious vehicle detection based on beta reputation and trust management for secure communication in smart automotive cars network

10.12928/telkomnika.v19i5.19358
Dilshad Ara; International Islamic University Malaysia (IIUM) Hossain , S. M. Salim; The National University of Malaysia Reza
High reliance on wireless network connectivity makes the vehicular ad hoc network (VANET) vulnerable to several kinds of cyber security threats. Malicious vehicles accessing the network can lead to hazardous situation by disseminating misleading information or data in the network or by performing cyber-attacks. It is a requirement that the information must be originated from the authentic and authorized vehicle and confidentiality must be maintained. In these circumstances, to protect the network from malicious vehicles, reputation system based on beta probability distribution with trust management model has been proposed to differentiate trustworthy vehicles from malicious vehicles. The trust model is based on adaptive neuro fuzzy inference system (ANFIS) which takes trust metrics as input to evaluate the trustworthiness of the vehicles. The simulation platform for the model is in MATLAB. Simulation results show that the vehicles need at least 80% trustworthiness to be considered as a trusted vehicle in the network.
Volume: 19
Issue: 5
Page: 1688-1696
Publish at: 2021-10-01

Self-doped carrier as a performance limiting factor of perovskite solar cells: study on tandem-junction cells with SCAPS

10.11591/ijeecs.v24.i1.pp81-89
Md. Sazzadur Rahman , Md. Samiur Rahman , Al Jaber , Suman Miah
Doping concentration of the absorber layer plays a vital role in the performance of perovskite solar cells, because not only it has a direct impact on the collection efficiency of the photo generated carriers, but it can also be considered as an indicator of the film quality and aging process for so-called self-doped (unintentionally doped) perovskite absorbers, where the carriers are induced from structural imperfections. To observe its influence on the efficiency of perovskite solar cell, a two-junction solar cell structure MAPbBr3/MAPbI3 is analyzed in this study, employing a novel optoelectrical simulation approach with finite-difference time-domain (FDTD) analysis and solar cell capacitance simulation (SCAPS) program. It is found that, the efficiency of the tandem cell falls from ∼22% to ∼12% as front-cell absorber film degrades from single-crystal quality with low self-doped carrier concentration of the order of 1010cm−3 , to degraded film quality with very high carrier concentration of the order of 1018cm−3 . In contrast, the self-doped carrier concentration of the back-cell absorber illustrates less impact on the efficiency of the cell, especially for thicker front-cell absorber. Thus, this case study gives a simpler but novel insight into the long-term stability of the efficiency of high-performance perovskite solar cells establishing a link between the solar cell performance and the self-doped carrier concentration (doping concentration) of the absorber film.
Volume: 24
Issue: 1
Page: 81-89
Publish at: 2021-10-01

Blockchain based voting system for Jordan parliament elections

10.11591/ijece.v11i5.pp4325-4335
Mohammad Malkawi , Muneer Bani Yassein , Asmaa Bataineh
Covid-19 pandemic has stressed more than any-time before the necessity for conducting election processes in an electronic manner, where voters can cast their votes remotely with complete security, privacy, and trust. The different voting schema in different countries makes it very difficult to utilize a one fits all system. This paper presents a blockchain based voting system (BBVS) applied to the Parliamentary elections system in the country of Jordan. The proposed system is a private and centralized blockchain implemented in a simulated environment. The proposed BBVS system implements a hierarchical voting process, where a voter casts votes at two levels, one for a group, and the second for distinct members within the group. This paper provides a novel blockchain based e-Voting system, which proves to be transparent and yet secure. This paper utilizes synthetic voter benchmarks to measure the performance, accuracy and integrity of the election process. This research introduced and implemented new algorithms and methods to maintain acceptable performance both at the time of creating the blockchain(s) for voters and candidates as well as at the time of casting votes by voters.
Volume: 11
Issue: 5
Page: 4325-4335
Publish at: 2021-10-01

Integrating SiO2 nanoparticles to achieve color uniformity and luminous efficiency enhancement for white light emitting diodes

10.12928/telkomnika.v19i5.20484
Phan Xuan; Van Lang University Le , Phung Ton; Industrial University of Ho Chi Minh City That
A phosphor structure with SiO2 nanoparticles is proposed to achieve the enhancement in the correlated color temperature (CCT) homogeneity and the luminescence performance for white light-emitting diodes (WLEDs). As SiO2 is integrated into the phosphorus compound, the scattering effect of this material contributes to better blue-light utilization. Thus, this innovative packaging design results in a significant increased lumen efficiency, more than 12%, in comparison with that of conventional dispensing ones. Meanwhile, the angular CCT deviation also decreases considerably, from 522 K to 7 K, between the angles of -70 and 700. Moreover, this reduction leads to the diminishment of yellow ring phenomenon effect. In addition, the measurement of haze demonstrates that there is a strong scattering in the visible spectrum when SiO2 is added into the silicone film. Besides that, when increasing the driving current, SiO2 stabilizes the chromaticity coordinate shift, which is a vital requirement for indoor lighting applications. Furthermore, SiO2 nanoparticles own excellent optical features, cost efficiency, and simple production will probably turn this material into a potential material in advancing the optical performance of WLEDs.
Volume: 19
Issue: 5
Page: 1648-1653
Publish at: 2021-10-01

The application of Ca5B2SiO10:Eu3+ and YAl3B4O12:Ce3+,Mn2+ in dual-layer remote phosphor to enhance lumen output and color quality of WLEDs

10.12928/telkomnika.v19i5.15024
Phan Xuan; Van Lang University Le , Le Hung; Van Lang University Tien
This study proposes a dual-layer remote phosphor structure, comprised of a green or a red phosphor layer and a yellow YAG:Ce3+ phosphor layer, to enhance color rendering index (CRI) and color quality scale (CQS) of white light-emitting diodes (WLEDs). The phosphors used in this study are green phosphor YAl3B4O12:Ce3+,Mn2+ and red phosphor Ca5B2SiO10:Eu3+. Besides, the applied WLED structure has the color temperature of 8500 K. The study demonstrates the idea of placing a green phosphor YAl3B4O12:Ce3+,Mn2+ or a red Ca5B2SiO10:Eu3+ phosphor layer on the yellow phosphor YAG:Ce3+ one. After that, the suitable concentration of Ca5B2SiO10:Eu3+ resulting in the highest color quality is determined. The obtained results showed that Ca5B2SiO10:Eu3+ is advantageous to CRI and CQS. Particularly, the values of CRI and CQS increased following the growth of Ca5B2SiO10:Eu3+ concentration, due to the rise in red light components inside WLED’s packages. Meanwhile, the luminous flux is benefited by the added green YAl3B4O12:Ce3+,Mn2+ phosphor. However, there are decreases in lumen output and color quality when the concentrations of Ca5B2SiO10:Eu3+ and YAl3B4O12:Ce3+,Mn2+ rise over the corresponding levels. This result is proved via using Mie-scattering theory and Lambert-Beer's law. In short, the findings of the research paper are valuable references for high-light-quality WLEDs fabrication.
Volume: 19
Issue: 5
Page: 1665-1672
Publish at: 2021-10-01

Significant medical image compression techniques: a review

10.12928/telkomnika.v19i5.18767
Iman Qays; Basrah University Abduljaleel , Amal Hameed; Basrah University Khaleel
Telemedicine applications allow the patient and doctor to communicate with each other through network services. Several medical image compression techniques have been suggested by researchers in the past years. This review paper offers a comparison of the algorithms and the performance by analysing three factors that influence the choice of compression algorithm, which are image quality, compression ratio, and compression speed. The results of previous research have shown that there is a need for effective algorithms for medical imaging without data loss, which is why the lossless compression process is used to compress medical records. Lossless compression, however, has minimal compression ratio efficiency. The way to get the optimum compression ratio is by segmentation of the image into region of interest (ROI) and non-ROI zones, where the power and time needed can be minimised due to the smaller scale. Recently, several researchers have been attempting to create hybrid compression algorithms by integrating different compression techniques to increase the efficiency of compression algorithms.
Volume: 19
Issue: 5
Page: 1612-1621
Publish at: 2021-10-01

Kenaf plant pest and disease detection using faster regional based convolutional neural network

10.11591/ijeecs.v24.i1.pp198-207
Alfita Rakhmandasari , Wayan Firdaus Mahmudy , Titiek Yulianti
Kenaf plant is a fibre plant whose stem bark is taken to be used as raw material for making geo-textile, particleboard, pulp, fiber drain, fiber board, and paper. The presence of plant pests and diseases that attack causes crop production to decrease. The detection of pests and diseases by farmers may be a challenging task. The detection can be done using artificial intelligence-based method. Convolutional neural networks (CNNs) are one of the most popular neural network architectures and have been successfully implemented for image classification. However, the CNN method is still considered a long time in the process, so this method was developed into namely faster regional based convolution neural network (RCNN). As the selection of the input features largely determines the accuracy of the results, a pre-processing procedure is developed to transform the kenaf plant image into input features of faster RCNN. A computational experiment proves that the faster RCNN has a very short computation time by completing 10000 iterations in 3 hours compared to convolutional neural network (CNN) completing 100 iterations at the same time. Furthermore, Faster RCNN gets 77.50% detection accuracy and bounding box accuracy 96.74% while CNN gets 72.96% detection accuracy at 400 epochs. The results also prove that the selection of input features and its pre-processing procedure could produce a high accuracy of detection. 
Volume: 24
Issue: 1
Page: 198-207
Publish at: 2021-10-01

Improving power theft detection using efficient clustering and ensemble classification

10.11591/ijece.v11i5.pp3704-3717
Hassan Ghaedi , Seyed Reza Kamel Tabbakh Farizani , Reza Ghaemi
One of the main concerns of power generation systems around the world is power theft. This research proposes a framework that merges clustering and classification together in order to power theft detection. Due to the fact that most datasets do not have abnormal samples or are few, we have added abnormal samples to the original datasets using artificial attacks to create balance in the datasets and increase the correct detection rate. We improved the crow search algorithm (CSA) and used the weight feature of Crows to improve performance of clustering phase. Also, to create balance between diversification and intensification, we calculated the awareness probability parameter (AP) dynamically at iterations of the algorithm. To evaluate the performance, we used the cross validation technique have used the stacking technique in its training phase. The results of extensive experiments on three reference datasets showed high performance to detect power theft. The evaluation results showed that if the data is collected correctly and sufficiently, this framework can effectively detect power theft in any actual power grid. Also, for new attacks, if their patterns can be detected from the data, it is easily possible to implement these types of attacks.
Volume: 11
Issue: 5
Page: 3704-3717
Publish at: 2021-10-01

Green Ca2La2BO6.5:Pb2+ phosphor: an innovative solution in enhancing the color quality and luminous flux of WLEDs

10.12928/telkomnika.v19i5.14672
Phung Ton; Industrial University of Ho Chi Minh City That , Nguyễn Đoàn Quốc; Ton Duc Thang University Anh
Light-emitting diodes devices that embedded with multiple chips (multi-chip white LEDs (MCW-LEDs)) are an advanced lighitng solution with much potential for improvement in the lighting industry. However, to further the applicacations and quality of white light emitting diodes (WLEDs) greater achivements must be found, thus, this paper focus on improving the color uniformity and luminous flux with green phosphor Ca2La2BO6.5:Pb2+. The results, which were measured through experiments conducted in WLEDs with average correlated color temperature from 6600–7700 K, show enhancements in color uniformity and luminous efficacy. In particular, the growing trend in the concentration of green phosphor Ca2La2BO6.5:Pb2+ results better color uniformity and lumnous flux, although the color quality scale (CQS) suffers a small decline. Therefore, it is confirmed that the Ca2La2BO6.5:Pb2+ phosphor is suitable in manufacturing WLEDs that focus on the color uniformity and luminous flux.
Volume: 19
Issue: 5
Page: 1630-1635
Publish at: 2021-10-01

PCA-based dimensionality reduction for face recognition

10.12928/telkomnika.v19i5.19566
Md. Abu; Hajee Mohammad Danesh Science and Technology University Marjan , Md. Rashedul; Hajee Mohammad Danesh Science and Technology University Islam , Md. Palash; Hajee Mohammad Danesh Science and Technology University Uddin , Masud Ibn; Hajee Mohammad Danesh Science and Technology University Afjal , Md. Al; Rajshahi University of Engineering & Technology Mamun
In this paper, we conduct a comprehensive study on dimensionality reduction (DR) techniques and discuss the mostly used statistical DR technique called principal component analysis (PCA) in detail with a view to addressing the classical face recognition problem. Therefore, we, more devotedly, propose a solution to either a typical face or individual face recognition based on the principal components, which are constructed using PCA on the face images. We simulate the proposed solution with several training and test sets of manually captured face images and also with the popular Olivetti Research Laboratory (ORL) and Yale face databases. The performance measure of the proposed face recognizer signifies its superiority.
Volume: 19
Issue: 5
Page: 1622-1629
Publish at: 2021-10-01

Diabetic retinopathy classification using deep convolutional neural network

10.11591/ijeecs.v24.i1.pp208-216
Akshita L. , Harshul Singhal , Ishita Dwivedi , Poonam Ghuli
Diabetic retinopathy (DR) is a diabetic impairment that affects the eyes and if not treated could lead to permanent vision impairment. Traditionally, Ophthalmologists perform diagnosis of DR by checking for existence and any seriousness of some subtle features in the fundus images. This process is not very efficient as it takes a lot of time and resources. DR testing of all the patients, a lot of which are undiagnosed or untreated, is a big task due to the inefficiency of the traditional method. This paper was written with the aim to propose a classification system based on an efficient deep convolution neural network (DCNN) model which is computationally efficient. Amongst other supervised algorithms involved, proposed solution is to find a way to efficiently classify the fundus images into 5 different levels of severity. Application of segmentation after the pre-processing and then use of deep convolutional neural networks on the dataset results in a high accuracy of 91.52%. The result achieved is high given the limitations of the dataset and computational powers.
Volume: 24
Issue: 1
Page: 208-216
Publish at: 2021-10-01

Active tremor control in human-like hand tremor using fuzzy logic

10.11591/ijeecs.v24.i1.pp108-115
Hafiz Bin Jamaludin , Azizan As'arry , R. Musab , Khairil Anas Md Rezali , Raja Mohd Kamil Bin Raja Ahmad , Mohd Zarhamdy Bin Md. Zain
Tremoris the vibration in sinusoidal orientation that is experienced regularly by a person with Parkinson’s disease (PD), which disturbs their daily activities. One solution that may be used to counter this tremor effect is by developing an active tremor control system in LabVIEW for linear voice coil actuator (LVCA), where the system uses proportional (P) controller and various types of fuzzy logic controller (FLC) as a hybrid controller to reduce tremor vibration. From this research, it can be concluded that the best controller for tremor reduction is the P+FLC 1st set of rules, compared to P+FLC 2nd set of rules, and P controller only, with the highest percentage of 88.39% of tremor reduction with the actual tremor vibration of PD patients as the reference result. The P+FLC 2nd set of rules has the highest percentage of tremor reduction with a value of 86.81%, whereas P controller only has the highest tremor reduction percentage of 67.10%. This percentage of tremor reduction is based on the power spectral density (PSD) values, in which it represents the intensity of the tremor vibration. This experimental study can be used as an initial step for researchers and engineers to design and develop an anti-tremor device in the future.
Volume: 24
Issue: 1
Page: 108-115
Publish at: 2021-10-01

Quantitative analysis in a heuristic evaluation of web-based encyclopedia for children

10.12928/telkomnika.v19i5.20408
Gita Indah; Universitas Muhammadiyah Malang Marthasari , Nur; Universitas Muhammadiyah Malang Hayatin
Anapedia is a web-based encyclopedia designed specifically for children. The web was built because there are still very few Indonesian-language encyclopedias for children. This paper presents an evaluation of the usability of the Anapedia website developed for children in Indonesia to retrieve information available in a wide range of areas. In the context of usability evaluation of children encyclopedia, this is the first study to analyze usability problems identified by experts during the heuristic inspection on their overall evaluation score. This evaluation, performed by seven usability experts, involved the identification and analysis of usability problems in the selected website. The assessment process was mainly based on the Sirius framework evaluation mechanism. The web considered as having high usability level, but they identified many usability problems for further improvement of the site. The most violated heuristic item was found to be “help” whereas the least violated heuristic item was “labelling” aspect.
Volume: 19
Issue: 5
Page: 1573-1580
Publish at: 2021-10-01

Improvements in space radiation-tolerant FPGA implementation of land surface temperature-split window algorithm

10.11591/ijece.v11i5.pp3844-3854
Assaad El Makhloufi , Nisrine Chekroun , Noha Tagmouti , Samir El Adib , Naoufal Raissouni
The trend in satellite remote sensing assignments has continuously been concerning using hardware devices with more flexibility, smaller size, and higher computational power. Therefore, field programmable gate arrays (FPGA) technology is often used by the developers of the scientific community and equipment for carrying out different satellite remote sensing algorithms. This article explains hardware implementation of land surface temperature split window (LST-SW) algorithm based on the FPGA. To get a high-speed process and real-time application, VHSIC hardware description language (VHDL) was employed to design the LST-SW algorithm. The paper presents the benefits of the used Virtex-4QV of radiation tolerant series FPGA. The experimental results revealed that the suggested implementation of the algorithm using Virtex4QV achieved higher throughput of 435.392 Mbps, and faster processing time with value of 2.95 ms. Furthermore, a comparison between the proposed implementation and existing work demonstrated that the proposed implementation has better performance in terms of area utilization; 1.17% reduction in number of Slice used and 1.06% reduction in of LUTs. Moreover, the significant advantage of area utilization would be the none use of block RAMs comparing to existing work using three blocks RAMs. Finally, comparison results show improvements using the proposed implementation with rates of 2.28% higher frequency, 3.66 x higher throughput, and 1.19% faster processing time.
Volume: 11
Issue: 5
Page: 3844-3854
Publish at: 2021-10-01

Lower and upper bound intercept probability analysis in amplifier-and-forward time switching relaying half-duplex with impact the eavesdropper

10.12928/telkomnika.v19i5.17681
Phu Tran; Industrial University of Ho Chi Minh City Tin , Van-Duc; Van Lang University Phan , Tan N.; Ton Duc Thang University Nguyen , Nguyen Thai; Ton Duc Thang University Bao , Nguyen Ngoc; Ton Duc Thang University Diem , Nguyen Duc; Ton Duc Thang University Thinh , Minh; Ton Duc Thang University Tran
In this paper, we proposed and investigated the amplifier-and-forward (AF) time switching relaying half-duplex with impact the eavesdropper. In this system model, the source (S) and the destination (D) communicate with each other via a helping of the relay (R) in the presence of the eavesdropper (E). The R harvests energy from the S and uses this energy for information transferring to the D. For deriving the system performance, the lower and upper bound system intercept probability (IP) is proposed and demonstrated. Furthermore, the Monte Carlo simulation is provided to justify the correctness of the mathematical, analytical expression of the lower and upper bound IP. The results show that the analytical and the simulation curves are the same in connection with the primary system parameters.
Volume: 19
Issue: 5
Page: 1673-1678
Publish at: 2021-10-01
1 2 3
...
1995 1996
Show 905 of 1996

Discover Our Library

Embark on a journey through our expansive collection of articles and let curiosity lead your path to innovation.

Explore Now
Library 3D Ilustration