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

Modular multi-input converter design for hybrid energy storage system used in traction power substation

10.11591/ijpeds.v16.i1.pp369-379
Chuen Ling Toh , Ching Sin Tan , Chee Wei Tan
Hybrid energy storage system (HESS) which consists of battery and supercapacitor is proposed to store bulk regenerative braking energy for future traction power substation. This system aims to optimize energy utilization and enhance the sustainability of rail transport. To facilitate bidirectional power flow between the traction network and the HESS, this paper introduces a modular multi-input converter (MMIC) to dynamically transfers during both braking and acceleration phases of train operation. The proposed MMIC operates in multiple modes, allowing for seamless energy exchange between the battery and supercapacitor, thus minimizing the depth of discharge of the battery and extending its lifespan. A comprehensive theoretical analysis of the MMIC is presented, detailing its four distinct operating modes. Additionally, simulation model of a 1.5 kV traction power substation with 500 kWh HESS is developed to validate the performance of the MMIC during steady-state operation. The findings demonstrate significant improvements in energy recovery and storage capabilities, underscoring the potential of the HESS to support future traction power substations in achieving higher efficiency and sustainability.
Volume: 16
Issue: 1
Page: 369-379
Publish at: 2025-03-01

Rounding function-based zero crossing detection for a sensorless BLDC motor control

10.11591/ijpeds.v16.i1.pp106-116
Musa Mohammed Gujja , Dahaman Ishak , Muhammad Najwan Hamidi , Mohamed Salem , Mohamad Nazir Abdullah , Khalil Alluhaybi
Permanent magnet brushless DC (PMBLDC) motors are favored for their low maintenance, high reliability, and efficiency, making them ideal for industrial, domestic, military, aerospace, and robotics applications. Sensor less control is the most preferred technique for PMBLDC motors due to its reliability and cost-effectiveness, eliminating the need for physical sensors. A crucial aspect of sensor less control is accurately detecting the point of zero crossing of the back electromotive force (BEMF) signals. Traditional methods, such as rotor position estimation, input observers, and AI-based strategies, can suffer from high ripples and computational inefficiencies. This paper introduces an approach using the rounding function to determine the point of zero crossing, aiming to enhance precision and reduce computational overhead. The rounding function converts continuous BEMF signals into discrete signals, minimizing ripples and facilitating accurate zero-crossing detection. This method improves detection accuracy while simplifying computation demands. Validation was performed through a MATLAB Simulink simulation and an experiment using the F28379D microcontroller, gate driver, and a six-switch inverter. The results demonstrate the effectiveness of the proposed approach, showing agreement between experimental and simulation outcomes.
Volume: 16
Issue: 1
Page: 106-116
Publish at: 2025-03-01

Battery management system employing passive control method

10.11591/ijpeds.v16.i1.pp35-44
Muhamad Aqil Muqri Muhamad Fahmi , Siti Hajar Yusoff , Teddy Surya Gunawan , Suriza Ahmad Zabidi , Mohd Shahrin Abu Hanifah
A battery management system (BMS) is essential for maintaining peak efficiency and longevity of rechargeable batteries. Conventional battery management system techniques often struggle to monitor, protect, and particularly have difficulties in balancing batteries. The project proposed has introduced a battery management system that employs passive control techniques to address excess energy and overcome these challenges. In the proposed design, a shunt resistor dissipates surplus energy from lithium-ion battery cells into heat following the proposed BMS design. This passive control technique is economically efficient, uncomplicated, and does not require an external power source. A prototype of the proposed BMS design was tested and was able to accurately monitor the battery, dissipate excess energy, and protect the battery while maintaining the cell charge balance. These findings suggest that the proposed BMS has the potential to improve both the effectiveness and longevity of rechargeable batteries.
Volume: 16
Issue: 1
Page: 35-44
Publish at: 2025-03-01

Enhancement LVRT capability of DFIG driven wind conversion system

10.11591/ijape.v14.i1.pp224-234
Abdeslam Jabal Laafou , Abdessalam Ait Madi , Youssef Moumani , Hassan Essakhi
In this paper we present two techniques for protecting the doubly fed induction generator (DFIG) in the event of external disturbances on the electrical network, the crowbar circuit and series dynamic braking resistor (SDBR) techniques. During voltage dips, the first technique is triggered and short-circuits the rotor side converter (RSC) so as to maintain the rotor current within the desired limits. As a result, the DFIG behaves as an asynchronous cage generator that absorbs the reactive power coming from the voltage dip on the network which does not meet the grid code's (GC) requirements. The second technique makes it possible to limit overcurrent’s at the level of the stator and rotor of the DFIG, it will enable the wind power system to continue operating normally once the fault has disappeared and to stay connected to the network throughout the voltage dip. This SDBR technique presents a good compromise between its performance, its simplicity, its efficiency, and its implementation’s cost.
Volume: 14
Issue: 1
Page: 224-234
Publish at: 2025-03-01

Isolation of hydrogen from water and its utilization as a co-fuel for trucks into fuel-efficient vehicles

10.11591/ijpeds.v16.i1.pp1-9
Sittichot Kradang-nga , Pongsakorn Kachapongkun , Thee Chowwanonthapunya
This research focused on the separation of hydrogen gas from water and its utilization as a supplementary fuel blended with the primary fuel of an internal combustion engine. The test was divided into two steps: evaluating the energy efficiency of the electrolyzer and conducting experiments on pickup trucks (common rail diesel engine, 2,499 cc) to determine energy savings and pollution emission. The results showed that the efficiency of the electrolysis system with an average electricity consumption of 125.74 W was 84.83 kWh/kgH2 and the theoretical efficiency of the electrolyzer in separating hydrogen gas from water was 45.97%. Results from the test on a pickup truck using 100% diesel fuel and hydrogen-diesel dual fuel with loads of 1,850 and 2,100 kg over a distance of 11 km showed that using a hydrogen-diesel dual system resulted in fuel savings of 27.8% and 16.70%, as compared to that of using pure diesel fuel system. Besides, levels of black smoke, PM2.5, and PM10 of the hydrogen-diesel dual fuel system were lower than those of the pure diesel fuel system.
Volume: 16
Issue: 1
Page: 1-9
Publish at: 2025-03-01

Control of shunt active power filter for power quality improvements with PV system using MPC approach

10.11591/ijpeds.v16.i1.pp278-286
Larouci Heguig , Nadhir Mesbahi , Yacine Guettaf
The major issue facing the electrical grid is the excessive use of non-linear loads, which pull distorted (non-sinusoidal) current from the grid. Considering this constraint, the objective is to remove any harmonic currents from the grid. The active filtering method has been selected, particularly focusing on the use of the shunt active filter, which provides numerous benefits. Therefore, in order to achieve effective harmonic compensation, a suitable and resilient control system is necessary for the shunt active filter. The system outlined in this study comprises a photovoltaic generator connected to the distribution electrical grid via a shunt active filter in order to simultaneously ensure the injection of renewable power generated by the photovoltaic generator into the grid and the improvement of the electrical energy quality. In this study, a model predictive current is introduced for shunt active power with fuzzy logic control to optimize the tracking of the maximum power point for the photovoltaic generator. The system was studied under various conditions, and the simulation was carried out using MATLAB/Simulink on the entire system.
Volume: 16
Issue: 1
Page: 278-286
Publish at: 2025-03-01

Real-time implementation of a combined controller-observer approach for shunt active filters

10.11591/ijpeds.v16.i1.pp251-266
Nagulapati Kiran , I. E. S. Naidu
The crucial role of shunt active power filter (SAPF) is to compensate for reactive power, balances unbalanced currents and counteract harmonics produced due to non-linear loads, by injecting phase-opposed compensation current by designing an appropriate controller. In this work, a combined controller-observer state and disturbances estimation scheme for a SAPF is proposed. To avoid the requirement of full-state feedback, unknown input observers (UIO) is designed. This is conducted in OPAL-RT OP4510 environment. Real-time simulations are used to show how successful the suggested controller-observer architecture for SAPF is; wherein the estimated states from the observer are fed back to the controller, and finally, the disturbance is also estimated. UIO is designed for SAPF to deal with nominal conditions and in the presence of sinusoidal disturbance.The OPAL-RT results clearly show that LO introduces steady state error between the reference input and the estimated state of SAPF in the presence of disturbances. This steady state error is completely eliminated in presence of all disturbances using UIO. The results also show that UIO perfectly tracks the reference input in the presence of disturbances. Further, disturbances are also estimated perfectly with UIO.
Volume: 16
Issue: 1
Page: 251-266
Publish at: 2025-03-01

Enhancing engineering education in electric drive systems through integrated computer simulation modules

10.11591/ijpeds.v16.i1.pp45-54
Rahimi Baharom , Norazlan Hashim , Naeem M. S. Hannoon , Nor Farahaida Abdul Rahman
The integration of computer simulation modules in electric drive courses plays a pivotal role in modern engineering education by offering students hands-on experience and fostering a deeper understanding of theoretical concepts. This study highlights the significance of enhancing engineering education through an innovative simulation module designed to analyze electric drive systems. The module enables the specification of suitable converters and machines for speed and position control systems while focusing on the steady-state operations of AC and DC drives. Through simulation exercises, students explore converter circuit topologies, control strategies, and the two-quadrant operations of electric machines using fully controlled two-pulse bridge circuits, encompassing motoring and braking modes in the first and fourth quadrants. The proposed module demonstrates its effectiveness in bridging theory and practice, evidenced by significant improvements in students' comprehension of circuit configurations and control algorithms. The approach enhances critical thinking, problem-solving skills, and the ability to relate theoretical knowledge to practical applications. Future research will focus on extending the module's capabilities to incorporate additional quadrants of operation and advanced control strategies. By integrating such tools into the curriculum, educators can better prepare students for the evolving demands of engineering careers.
Volume: 16
Issue: 1
Page: 45-54
Publish at: 2025-03-01

Harmonic reduction techniques in renewable energy distribution systems using cascaded multilevel inverters: a comparative analysis

10.11591/ijpeds.v16.i1.pp76-85
Nayana Gangadhara , Savita D. Torvi
Penetration of renewable energy in distribution generation increases power quality in the output. The harmonics inherent in the inverters are a major contributor to the power quality issues in the distribution system. Multilevel inverters are used to get rid of the harmonics inherent in the inverter output. Among the multilevel inverter topology cascaded multilevel inverters have taken center stage due to their simple topology and control with lesser components. This paper reviews different multilevel inverter topologies that have led to cascaded multilevel inverter topology and applies pulse width modulation (PWM) techniques to the topology. Phase disposition PWM technique is applied on the cascaded H-bridge multilevel inverter (MLI) topology for 5-level, 7-level, and 9-level inverter topologies. The total harmonic distortion (THD) obtained for these topologies is compared with and without the use of an LC filter in the inverter output. PWM techniques including phase disposition, for five-level, seven-level, and nine-level MLI methods are applied on the cascaded multilevel inverter and results are compared for harmonic reduction in the inverter output.
Volume: 16
Issue: 1
Page: 76-85
Publish at: 2025-03-01

Machine learning model approach in cyber attack threat detection in security operation center

10.11591/csit.v6i1.p80-90
Muhammad Ajran Saputra , Deris Stiawan , Rahmat Budiarto
The evolution of technology roles attracted cyber security threats not only compromise stable technology but also cause significant financial loss for organizations and individuals. As a result, organizations must create and implement a comprehensive cybersecurity strategy to minimize further loss. The founding of a cybersecurity surveillance center is one of the optimal adopted strategies, known as security operation center (SOC). The strategy has become the forefront of digital systems protection. We propose strategy optimization to prevent or mitigate cyberattacks by analyzing and detecting log anomalies using machine learning models. This study employs two machine learning models: the naïve Bayes model with multinomial, Gaussian, and Bernoulli variants, and the support vector machine (SVM) model with radial basis function (RBF), linear, polynomial, and sigmoid kernel variants. The hyperparameters in both models are then optimized. The models with optimized hyperparameters are subsequently trained and tested. The experimental results indicate that the best performance is achieved by the RBF kernel SVM model, with an accuracy of 79.75%, precision of 80.8%, recall of 79.75%, and F1-score of 80.01%; and the Gaussian naïve Bayes model, with an accuracy of 70.0%, precision of 80.27%, recall of 70.0%, and F1-score of 70.66%. Overall, both models perform relatively well and are classified in the very good category (75%‒89%).
Volume: 6
Issue: 1
Page: 80-90
Publish at: 2025-03-01

Secure e-voting system using Schorr's zero-knowledge identification protocol

10.11591/csit.v6i1.p20-27
Indah Octaviani Laleb , Daniel M.D.U. Kasse
In today's era of technological progress, the electoral system has changed significantly with the introduction of electronic voting (e-voting). The traditional voting system poses many vulnerabilities to manipulation, potential human error, and problems with voter privacy. These limitations can lead to reduced trust and participation in elections. E-voting has emerged to address this issue, aiming to improve the convenience, security, and privacy of voters. E-voting systems are evaluated on accuracy, security, privacy, and transparency; however, ensuring voter privacy while maintaining these principles remains a significant challenge. A potential solution to improving privacy in e-voting is Schorr's zero-knowledge identification protocol. This protocol allows voters to confirm their identity without revealing personal information, maintaining voter privacy throughout the process. By implementing these protocols, the e-voting system can strengthen security and privacy, making elections more transparent and trustworthy. As technology evolves, adopting solutions like Schorr's zero-knowledge identification protocol can help e-voting systems meet the growing demand for safe, fair, and private elections.
Volume: 6
Issue: 1
Page: 20-27
Publish at: 2025-03-01

Geoinformation system for monitoring forest fires and data encryption for low-orbit vehicles

10.11591/csit.v6i1.p58-67
Khuralay Moldamurat , Makhabbat Bakyt , Dastan Yergaliyev , Dinara Kalmanova , Anuar Galymzhan , Abylaikhan Sapabekov
This article discusses two important aspects of unmanned aerial vehicles (UAVs): forest fire monitoring and data security for low-orbit vehicles. The first part of the article is devoted to the development of a geographic information system (GIS) for monitoring and forecasting the spread of forest fires. The system uses intelligent processing of aerospace data obtained from UAVs to timely detect fires, determine their characteristics and forecast the dynamics of development. The second part of the article focuses on the problem of high-speed encryption of data transmitted from low-orbit aircraft. An effective encryption algorithm is proposed that ensures high data processing speed and reliable protection of information from unauthorized access. The article presents the results of modeling and analysis of the effectiveness of the proposed solutions.
Volume: 6
Issue: 1
Page: 58-67
Publish at: 2025-03-01

Matrix inversion using multiple-input multiple-output adaptive filtering

10.11591/csit.v6i1.p1-7
Muhammad Yasir Siddique Anjum , Javed Iqbal
A new approach for matrix inversion is introduced. The approach is based on vector representation of multiple-input multiple-output (MIMO) channel matrix, in which the channel matrix is described by a linear combination of channel vectors weighted by their respective system inputs. The MIMO system output is then fed into a bank of adaptive filters, wherein the response of a given adaptive filter is iteratively minimized to match its output to the given system input. In doing so, adaptive filters equalize the impact of respective channel vectors on the MIMO channel output, while simultaneously orthogonalizing themselves from all other channel vectors, forming the channel matrix inverse. The method demonstrates satisfactory convergence and accuracy in Monte Carlo simulations conducted with varying signal-to-noise ratios (SNRs) and matrix conditioning scenarios. The suggested approach, by virtue of its adaptable characteristics, can also be employed for time-varying linear equation systems.
Volume: 6
Issue: 1
Page: 1-7
Publish at: 2025-03-01

Field programmable gate array simulation and study on different multiplexer hardware for electronics and communication

10.11591/csit.v6i1.p28-39
Arvind Kumar , Adesh Kumar , Anurag Vijay Agrawal
Multiplexing is the technique of transmitting two or more separate signals concurrently using a single communication channel. Multiplexing enables the augmentation of communication channels and consequently the volume of data that may be transmitted. Communication networks utilize diverse multiplexing techniques. An input multiplexer amalgamates various network signals into a singular composite signal before transmission over a shared medium. The composite signal is broken back into its component signals by a demultiplexer, when it reaches its destination, allowing further operations to utilize them separately. The design of the hardware chip depends on the configuration of the multiplexer and demultiplexer in the communication system. The work is presented as a study of the digital logic design and simulation of the different configurations of the multiplexer hardware. The performance evaluation is carried out on the different series of Xilinx field programmable gate array (FPGA) such as Spartan-6, Spartan-3E, Virtex-5, and Virtex-6 with logically checked in Xilinx ISE waveform simulator software. The current analysis of the design and simulation of different configurations of the multiplexer design helps the designers to estimate the chip performance. The novelty of the work lies in its scalable and programmable architecture fitted for specific communication systems that assess performance based on latency, frequency, and power consumption that can be further linked with communication protocols.
Volume: 6
Issue: 1
Page: 28-39
Publish at: 2025-03-01

Analysis of telehealth acceptance for basic life support training in sudden cardiac arrest in Pontianak

10.11591/csit.v6i1.p48-57
Ruhil Iswara , Sri Kusumadewi , Rahadian Kurniawan
Sudden cardiac arrest (SDA), which is one of the most prevalent causes of mortality, can be prevented by quickly conducting basic life support (BLS). In Pontianak City, the challenges associated with obtaining emergency health training, such as BLS, remain high. This study aims to evaluate user acceptance of telehealth as well as its effectiveness in BLS training. We will also discuss its impact on community knowledge and skills in managing cardiac arrest. We used the HOT-Fit method to analyze the level of acceptance of telehealth in BLS training. We collected data from 60 respondents who underwent telehealth-based BLS training. The results showed that participants' understanding and readiness in dealing with heart attack emergencies had increased significantly, by 90% and 92%, respectively. Analysis of the level of acceptance with HOT-Fit showed that system quality had the greatest influence on system use (0.611). Service quality exerted the most significant impact on user satisfaction (0.568). The net benefit was influenced by system use, user satisfaction, and organizational support, with user satisfaction having the greatest influence (0.600). Further research will be conducted on the utilization of augmented reality (AR) or virtual reality (VR) technology to implement telehealth for BLS training.
Volume: 6
Issue: 1
Page: 48-57
Publish at: 2025-03-01
1 2 3
...
1995 1996
Show 244 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