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29,939 Article Results

Tire strain piezoelectric energy harvesters: a systematic review

10.11591/ijpeds.v13.i1.pp444-459
Ibrahim Ali Hameed Al-Najati , Keng Wai Chan , Swee-Yong Pung
Intelligent tires are regular tires with additional sensors attached to measure different parameters, such as pressure, temperature, and tire dynamic condition. Sensors mounted inside tires are usually powered by batteries. An alternative power source for these sensors is piezoelectric energy, which uses piezoelectric patches that can be mounted close to the sensors inside vehicle tires. Piezoelectric energy is a battery-less energy source with a long lifespan and environmentally friendly characteristics. This paper presents a comprehensive review of piezoelectric energy harvesters that harvest vehicle tire strain and convert it to electrical energy to power inner tire sensors. The aim of this review was to characterize the possible available tire piezoelectric strain energy harvesters and their advantages and challenges for each type, shape, and material used by researchers so far. The related articles were categorized according to the installation method of the harvester inside the vehicle tire. The four categories are inner tire treadwall, tire bead–rim interface, tire inner sidewall, and tire bead. The maximum power generated was 2300 mW from a treadwall tire strain piezoelectric harvester. Ten challenges were mentioned and classified into three main groups: host environment, installation method, and scavenging system.
Volume: 13
Issue: 1
Page: 444-459
Publish at: 2022-03-01

Five-phase induction motor drive for electric vehicle with high gain switched-inductor quasi impedance source inverter

10.11591/ijpeds.v13.i1.pp411-422
Yaramasu Suri Babu , Koritala Chandra Sekhar
Switched-inductor quasi-impedance source inverter (SL-qZSI) with high gain fed five-phase induction motor drive for electric vehicle (EV) applications is proposed in this paper. Multi-phase electric machines have been predicted for application where the entire system should have better reliability and demanded power per phase is low especially for autonomous applications like EVs. To supply variable voltage and frequency to multi-phase machines, multi-phase inverters are required. SL-qZSI offers enhanced boost capability with respect to traditional impedance source converters by inserting three diodes and only one inductor to the basic quasi-impedance source inverter (qZSI). Also, SL-qZSI offers withstanding capability during voltage dip results line harmonics are diminished; enhances reliability of inverter; and extended output voltage range. The key idea of this paper is to design and develop a high performance and highly reliable SL-qZSI fed five-phase Induction Motor drive and validate the proposed system depends on results of Simulation with the help of MATLAB; these findings were comparable to the similar type of existing converters. We can notice from the performance analysis of the proposed system that it can provide enhanced voltage boosting capability and proved that it has significant potential for the suggested multi-phase variable speed drive (VSD) system.
Volume: 13
Issue: 1
Page: 411-422
Publish at: 2022-03-01

Developing self-efficacy, mattering, and general well-being through community-based education in the rural area

10.11591/ijere.v11i1.21948
Abdul Aziz , Mohammad Padil , Mujtahid Mujtahid , Kususanto Ditto Prihadi
This qualitative study aimed to explore the implementation of community-based education (CBE) in the village of Desa Karang Pandan, Malang, East Java, Indonesia. The CBE was conducted in order to educate the community members in information technology, Arabic language, Quran reading, Boyscout activities, and indigenous martial arts. Apart from that, the CBE was implemented to address specific communal issues, such as lack of self-efficacy, sense of mattering, and general well-being of the community members. Data was collected through observations and interviews along the CBE program, and analyzed by utilizing thematic analysis methods. Positive responses were shown in the interview results. They were represented by the frequent occurrences of themes such as improvement of mattering and self-efficacy, higher motivation to learn and the development of general well-being. Nevertheless, it is possible that the positive responses from the community members were caused by the novelty effect of the program. Further concerns and limitations are discussed in the end of this paper.
Volume: 11
Issue: 1
Page: 272-279
Publish at: 2022-03-01

Fast image watermarking based on signum of cosine matrix

10.11591/ijeecs.v25.i3.pp1383-1391
Ferda Ernawan , Prajanto Wahyu Adi , Siau-Chuin Liew , Eko Adi Sarwoko , Edy Winarno
In the field of image watermarking, the singular value decomposition has good imperceptibility and robustness, but it has high complexity.  It divides a host image into matrices of U, S, and V. Singular matrix S has been widely used for embedding and extracting watermark, while orthogonal matrices of U and V are used in decomposition and reconstruction. The proposed signum of cosine matrix method is carried out to eliminate the generation of the three matrices at each block and replace it with a signum of cosine matrix. The proposed signum of cosine matrix is performed faster on the decomposition and reconstruction. The image is transformed into a coefficient matrix C using the signum matrix. The C matrix values are closer to the S value of singular value decomposition which can preserve high quality of the watermarked image. The experimental results show that our method is able to produce similar imperceptibility and robustness level of the watermarked image with less computational time.
Volume: 25
Issue: 3
Page: 1383-1391
Publish at: 2022-03-01

Optimal linear quadratic Gaussian control based frequency regulation with communication delays in power system

10.11591/ijece.v12i1.pp157-165
Hoan Bao Lai , Anh-Tuan Tran , Van Van Huynh , Emmanuel Nduka Amaefule , Phong Thanh Tran , Van-Duc Phan
In this paper, load frequency regulator based on linear quadratic Gaussian (LQG) is designed for the MAPS with communication delays. The communication delay is considered to denote the small time delay in a local control area of a wide-area power system. The system is modeled in the state space with inclusion of the delay state matrix parameters. Since some state variables are difficult to measure in a real modern multi-area power system, Kalman filter is used to estimate the unmeasured variables. In addition, the controller with the optimal feedback gain reduces the frequency spikes to zero and keeps the system stable. Lyapunov function based on the LMI technique is used to re-assure the asymptotically stability and the convergence of the estimator error. The designed LQG is simulated in a two area connected power network with considerable time delay. The result from the simulations indicates that the controller performed with expectation in terms of damping the frequency fluctuations and area control errors. It also solved the limitation of other controllers which need to measure all the system state variables.
Volume: 12
Issue: 1
Page: 157-165
Publish at: 2022-02-01

An analysis of increased usage of e-commerce during COVID-19

10.11591/ijeecs.v25.i2.pp1123-1130
Abdulmohsin Suliman Alkhunaizan , Ashraf Ali
Technolgoical innovation has covered all aspects of business all over the world. With growing pace of digitalisation all over the globe, e-commerce has become one of the popular platforms for initiating business transactions. COVID-19 has showed the dependence of the society on this medium for the convenient allocation of goods and services and meeting up of consumer demands. Saudi Arabia has also witnessed a high demand in the usage of this platform to meet the daily usage necessity. In order to get insight into the topic, qualitative research has been undertaken. The study aims to investigate the increased use of e-commerce during COVID-19. The data required for the analysis has been collected from secondary sources such as web journals and research work. The finding of the qualitative analysis exhibited that the e-commerce has increased rapidly during COVID-19 time. The outcomes of the present study are helpful for the vendors to facilitate the consumers by increasing the opportunities of e-commerce.
Volume: 25
Issue: 2
Page: 1123-1130
Publish at: 2022-02-01

Security and imperceptibility improving of image steganography using pixel allocation and random function techniques

10.11591/ijece.v12i1.pp694-705
Noor Alhuda F. Abbas , Nida Abdulredha , Raed Khalid Ibrahim , Adnan Hussein Ali
Information security is one of the main aspects of processes and methodologies in the technical age of information and communication. The security of information should be a key priority in the secret exchange of information between two parties. In order to ensure the security of information, there are some strategies that are used, and they include steganography and cryptography. An effective digital image-steganographic method based on odd/even pixel allocation and random function to increase the security and imperceptibility has been improved. This lately developed outline has been verified for increasing the security and imperceptibility to determine the existent problems. Huffman coding has been used to modify secret data prior embedding stage; this modified equivalent secret data that prevent the secret data from attackers to increase the secret data capacities. The main objective of our scheme is to boost the peak-signal-to-noise-ratio (PSNR) of the stego cover and stop against any attack. The size of the secret data also increases. The results confirm good PSNR values in addition of these findings confirmed the proposed method eligibility.
Volume: 12
Issue: 1
Page: 694-705
Publish at: 2022-02-01

Asymmetric image encryption scheme based on Massey Omura scheme

10.11591/ijece.v12i1.pp1040-1047
Najlae Falah Hameed Al Saffar , Inaam R. Al-Saiq , Rewayda Razaq Mohsin Abo Alsabeh
Asymmetric image encryption schemes have shown high resistance against modern cryptanalysis. Massey Omura scheme is one of the popular asymmetric key cryptosystems based on the hard mathematical problem which is discrete logarithm problem. This system is more secure and efficient since there is no exchange of keys during the protocols of encryption and decryption. Thus, this work tried to use this fact to propose a secure asymmetric image encryption scheme. In this scheme the sender and receiver agree on public parameters, then the scheme begin deal with image using Massey Omura scheme to encrypt it by the sender and then decrypted it by the receiver. The proposed scheme tested using peak signal to noise ratio, and unified average changing intensity to prove that it is fast and has high security.
Volume: 12
Issue: 1
Page: 1040-1047
Publish at: 2022-02-01

The bounds for the distance two labelling and radio labelling of nanostar tree dendrimer

10.12928/telkomnika.v20i1.20404
Kins; Department of Mathematics, Loyola College, Chennai, India Yenoke , Mohammed K. A.; Institute of Mathematical Sciences, Faculty of Science, University of Malaya, Kuala Lumpur, Malaysia Kaabar
The distance two labelling and radio labelling problems are applicable to find the optimal frequency assignments on AM and FM radio stations. The distance two labelling, known as L(2,1)-labelling of a graph A, can be defined as a function, 𝑘, from the vertex set V(A) to the set of all nonnegative integers such that 𝑑(𝑐, 𝑠) represents the distance between the vertices c and s in 𝐴 where the absolute values of the difference between 𝑘(𝑐) and 𝑘(𝑠) are greater than or equal to both 2 and 1 if 𝑑(𝑐, 𝑠)=1 and 𝑑(𝑐, 𝑠) = 2, respectively. The L(2,1)-labelling number of 𝐴, denoted by 𝜆2,1 (𝐴), can be defined as the smallest number j such that there is an 𝐿(2,1) −labeling with maximum label j. A radio labelling of a connected graph A is an injection k from the vertices of 𝐴 to 𝑁 such that 𝑑(𝑐, 𝑠) + |𝑘(𝑐) − 𝑘(𝑠)| ≥ 1 + 𝑑 ∀ 𝑐, 𝑠 ∈ 𝑉(𝐴), where 𝑑 represents the diameter of graph 𝐴. The radio numbers of 𝑘 and A are represented by 𝑟𝑛(𝑘) and 𝑟𝑛(𝐴) which are the maximum number assigned to any vertex of 𝐴 and the minimum value of 𝑟𝑛(𝑘) taken over all labellings k of 𝐴, respectively. Our main goal is to obtain the bounds for the distance two labelling and radio labelling of nanostar tree dendrimers.
Volume: 20
Issue: 1
Page: 52-60
Publish at: 2022-02-01

Topology network effects for DSSH circuit on vibration energy harvesting using piezoelectric materials

10.11591/ijeecs.v25.i2.pp721-731
Youssef El Hmamsy , Chouaib Ennawaoui , Abdelowahed Hajjaji
Energy extraction takes place using several different technologies, depending on the type of energy and how it is used. The objective of this paper is to study topology influence for a smart network based on piezoelectric materials using the DSSH (Double Synchronized Switch Harvesting). In this work, has been presented network topology for circuit DSSH (DSSH Standard, Independent DSSH, DSSH in parallel, Mono DSSH, DSSH in series). Using simulation-based on a structure with embedded piezoelectric system harvesters, then compare different topology of circuit DSSH for knowledge is how to connect the circuit DSSH together and how to implement accurately this circuit strategy for maximizing the total output power. The network topology DSSH extracted power a technique allows again up to in terms of maximal power output compared with network topology standard extracted at the resonant frequency. The simulation results shows that by using the same input parameters the maximum efficiency for topology DSSH in parallel produces 120% more energy than topology DSSH-series. In addition, the energy harvesting by Mono-DSSH is more than DSSH-series by 650% and it has exceeded DSSH-ind by 240%.Energy extraction takes place using several different technologies, depending on the type of energy and how it is used. The objective of this paper is to study topology influence for a smart network based on piezoelectric materials using the DSSH (Double Synchronized Switch Harvesting). In this work, has been presented network topology for circuit DSSH (DSSH Standard, Independent DSSH, DSSH in parallel, Mono DSSH, DSSH in series). Using simulation-based on a structure with embedded piezoelectric system harvesters, then compare different topology of circuit DSSH for knowledge is how to connect the circuit DSSH together and how to implement accurately this circuit strategy for maximizing the total output power. The network topology DSSH extracted power a technique allows again up to in terms of maximal power output compared with network topology standard extracted at the resonant frequency. The simulation results shows that by using the same input parameters the maximum efficiency for topology DSSH in parallel produces 120% more energy than topology DSSH-series. In addition, the energy harvesting by Mono-DSSH is more than DSSH-series by 650% and it has exceeded DSSH-ind by 240%.
Volume: 25
Issue: 2
Page: 721-731
Publish at: 2022-02-01

A hierarchical RCNN for vehicle and vehicle license plate detection and recognition

10.11591/ijece.v12i1.pp731-737
Chunling Tu , Shengzhi Du
Vehicle and vehicle license detection obtained incredible achievements during recent years that are also popularly used in real traffic scenarios, such as intelligent traffic monitoring systems, auto parking systems, and vehicle services. Computer vision attracted much attention in vehicle and vehicle license detection, benefit from image processing and machine learning technologies. However, the existing methods still have some issues with vehicle and vehicle license plate recognition, especially in a complex environment. In this paper, we propose a multivehicle detection and license plate recognition system based on a hierarchical region convolutional neural network (RCNN). Firstly, a higher level of RCNN is employed to extract vehicles from the original images or video frames. Secondly, the regions of the detected vehicles are input to a lower level (smaller) RCNN to detect the license plate. Thirdly, the detected license plate is split into single numbers. Finally, the individual numbers are recognized by an even smaller RCNN. The experiments on the real traffic database validated the proposed method. Compared with the commonly used all-in-one deep learning structure, the proposed hierarchical method deals with the license plate recognition task in multiple levels for sub-tasks, which enables the modification of network size and structure according to the complexity of sub-tasks. Therefore, the computation load is reduced.
Volume: 12
Issue: 1
Page: 731-737
Publish at: 2022-02-01

Design and development of DrawBot using image processing

10.11591/ijece.v12i1.pp365-375
Krithika Vaidyanathan , Nandhini Murugan , Subramani Chinnamuthu , Sivashanmugam Shivasubramanian , Surya Raghavendran , Vimala Chinnaiyan
Extracting text from an image and reproducing them can often be a laborious task. We took it upon ourselves to solve the problem. Our work is aimed at designing a robot which can perceive an image shown to it and reproduce it on any given area as directed. It does so by first taking an input image and performing image processing operations on the image to improve its readability. Then the text in the image is recognized by the program. Points for each letter are taken, then inverse kinematics is done for each point with MATLAB/Simulink and the angles in which the servo motors should be moved are found out and stored in the Arduino. Using these angles, the control algorithm is generated in the Arduino and the letters are drawn.
Volume: 12
Issue: 1
Page: 365-375
Publish at: 2022-02-01

Robust recognition technique for handwritten Kannada character recognition using capsule networks

10.11591/ijece.v12i1.pp383-391
N. Shobha Rani , Manohar N. , Hariprasad M. , Pushpa B. R.
Automated reading of handwritten Kannada documents is highly challenging due to the presence of vowels, consonants and its modifiers. The variable nature of handwriting styles aggravates the complexity of machine based reading of handwritten vowels and consonants. In this paper, our investigation is inclined towards design of a deep convolution network with capsule and routing layers to efficiently recognize  Kannada handwritten characters.  Capsule network architecture is built of an input layer,  two convolution layers, primary capsule, routing capsule layers followed by tri-level dense convolution layer and an output layer.  For experimentation, datasets are collected from more than 100 users for creation of training data samples of about 7769 comprising of 49 classes. Test samples of all the 49 classes are again collected separately from 3 to 5 users creating a total of 245 samples for novel patterns. It is inferred from performance evaluation; a loss of 0.66% is obtained in the classification process and for 43 classes precision of 100% is achieved with an accuracy of 99%. An average accuracy of 95% is achieved for all remaining 6 classes with an average precision of 89%.
Volume: 12
Issue: 1
Page: 383-391
Publish at: 2022-02-01

An efficient and robust parallel scheduler for bioinformatics applications in a public cloud: A bigdata approach

10.11591/ijeecs.v25.i2.pp1078-1086
Leena Ammanna , Jagadeeshgowda Jagadeeshgowda , Jagadeesh Pujari
In bioinformatics, genomic sequence alignment is a simple method for handling and analysing data, and it is one of the most important applications in determining the structure and function of protein sequences and nucleic acids. The basic local alignment search tool (BLAST) algorithm, which is one of the most frequently used local sequence alignment algorithms, is covered in detail here. Currently, the NCBI's BLAST algorithm (standalone) is unable to handle biological data in the terabytes. To address this problem, a variety of schedulers have been proposed. Existing sequencing approaches are based on the Hadoop MapReduce (MR) framework, which enables a diverse set of applications and employs a serial execution strategy that takes a long time and consumes a lot of computing resources. The author, improves the BLAST algorithm based on the BLAST-BSPMR algorithm to achieve the BLAST algorithm. To address the issue with Hadoop's MapReduce framework, a customised MapReduce framework is developed on the Azure cloud platform. The experiment findings indicate that the suggested bulk synchronous parallel MapReduce-basic local alignment search tool (BSPMR-BLAST) algorithm matches bioinformatics genomic sequences more quickly than the existing Hadoop-BLAST method, and that the proposed customised scheduler is extremely stable and scalable.
Volume: 25
Issue: 2
Page: 1078-1086
Publish at: 2022-02-01

Dielectric properties assessment of honey by using non-destructive dielectric spectroscopy

10.11591/ijece.v12i1.pp189-200
Aslina Abu Bakar , Muhammad Aiman Najmi bin Rodzali , Rosfariza Radzali , Azlina Idris , Ahmad Rashidy Razali
In this research the dielectric constant of three types of Malaysian honey has been investigated using a non-destructive measurement technique. The objective of this research is to assess the dielectric constant of the three types of honey in Malaysia using a non-destructive measurement technique known as an open-ended coaxial probe in the frequency range from 100 MHz to 10 GHz frequency. Analysis on the effect water concentration in honey on the dielectric constant and the effect of temperature on dielectric constant of honey has been conducted. The three types of honey that have been chosen to be investigated in this project are stingless bee honey, wild honey and commercial (organic) honey and together their water adulterated samples. For this research, the probe had been set up by setting a range of frequency from 100 MHz to 10 GHz and needs to be calibrated with three calibration methods namely open, short and reference water. From the result it was found that the higher the temperature of the honey and the higher percentage of water content in the honey, the dielectric constant is increased. The dielectric constants of all honeys decreased with increasing frequency in the measured frequency range and increased with increase percentage of water content and temperature.
Volume: 12
Issue: 1
Page: 189-200
Publish at: 2022-02-01
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