Association for Scientic Computing Electronics and Engineering (ASCEE): Open Journal Systems
Not a member yet
785 research outputs found
Sort by
Robust Voltage Vector-Controlled Three-Phase SAPF-based BPMVF and SVM for Power Quality Improvement
Get PDFThe multiplication of nonlinear loads leads to significant degradation of the energy quality, thus the interconnection network is subject to being polluted by the generation of harmonic components and reactive power, which causes a weakening efficiency, especially for the power factor. In three-phase systems, they can cause imbalances by causing excessive currents at the neutral. This research treats the operation of robust voltage-oriented control (VOC) for a shunt active power filter (SAPF). The main benefit of this technique is to guarantee a decoupled control of the active and reactive input currents, as well as the input reference voltage. To sustain the DC voltage, a robust PI-structure-based antiwindup is inserted to ensure active power control. Besides, a robust phase-locked loop (PLL)-based bandpass multivariable filter (BPMVF) is used to improve the network voltage quality. Furthermore, a space vector modulation (SVM) is designed to replace the conventional one. A sinusoidal network current and unitary power factor are achieved with fewer harmonics. The harmonics have been reduced from 27.98% to 1.55% which respects the IEEE 519-1992 standard. Expanded simulation results obtained from the transient and steady-state have demonstrated the high performance of the suggested control scheme
Indonesian English learning preferences
Get PDFThis study examines the language learning preferences of Indonesians by comparing search trends for popular formal English courses and English learning applications using Google Trends data. The data is visualized and analyzed descriptively, revealing Ruang Guru as the most preferred English language institution in Indonesia. Its popularity is attributed to service promotions, user-friendly websites, and efficient marketing techniques. Simultaneously, Grammarly is observed as the most popular English learning application among Indonesian learners, emphasizing the importance of refining writing skills. A comparison of search results between Grammarly and Ruang Guru highlights Grammarly's dominance and the preference for self-directed and flexible learning options among Indonesians. These findings have significant implications for education policymakers, language application developers, and English course institution managers. The study suggests a need for the formulation of courses that align with the preferences of Indonesian learners, facilitating autonomous and flexible learning experiences. This insight can guide strategic decisions to enhance the effectiveness and relevance of English language education in Indonesia
AQuamoAS: unmasking a wireless sensor-based ensemble for air quality monitor and alert system
No full textThe increased awareness by residents of their environment to maintain safe health states has consequently, birthed the integration of info tech to help resolve societal issues. These, and its adopted approaches have become critical and imperative in virtualization to help bridge the lapses in human mundane tasks and endeavors. Its positive impacts on society cannot be underestimated. Study advances a low-cost wireless sensor-based ensemble to effectively manage air quality tasks. Thus, we integrate an IoT framework to effectively monitors environment changes via microcontrollers, sensors, and blynk to assist users to monitor temperature, humidity, detect the presence of harmful gases in/out door environs. The blynk provides vital knowledge to the user. Our AQuaMoAS algorithm makes for an accurate and user-friendly mode using cloud services to ease monitor and data visualization. The system was tested at 3 different stages of rainy, sunny and heat with pollutant via alpha est method. For all functions at varying conditions, result revealed 70.7% humidity, 29.5OC, and 206 ppm on a sunny day. 51.5% humidity, 20.4OC and 198ppm on a rainy, and 43.1 humidity, 45.6OC, 199ppm air quality on heat and 66.5% humidity, 30.2 OC and 363 ppm air quality on application of air pollutant were observe
Synthesis of Adaptive Sliding Mode Control for Twin Rotor MIMO System with Mass Uncertainty based on Synergetic Control Theory
Get PDFIn this paper, the authors present a new method to synthesize an adaptive sliding controller for Twin Rotor MIMO System (TRMS) based on Synergetic Control Theory (SCT). This system represents a prototype of a helicopter with two degrees of freedom and is widely used in automatic control laboratories. The complexity of the control problem is due to the nonlinear cross-coupling between the main and tail rotors. Uncertainty in system parameters further increases the complexity of the control problem. In Synergetic Control Theory, manifolds are designed for each channel. The control law is found based on sequential manifolds and the Analytical Design of Aggregated Regulators (ADAR) method. The adaptive law when the parameters are uncertain is given based on the analysis of system stability thanks to the Lyapunov function of the first manifold. Finally, the effectiveness of the proposed controller is demonstrated by numerical simulation results and comparison with conventional Sliding Mode Control (SMC)
Revolutionizing Anemia Classification with Multilayer Extremely Randomized Tree Learning Machine for Unprecedented Accuracy
Get PDFAnemia is a prevalent global health issue that is characterized by a deficit in red blood cells or low levels of hemoglobin. This condition is influenced by various causes, including nutritional inadequacies, chronic diseases, and genetic predisposition. The incidence of the phenomenon exhibits variation across different geographical regions and demographic groups. This pioneering research investigates the identification and classification of anemia, potentially leading to transformative advancements in the discipline. The classification of anemia encompasses four distinct groups, namely Beta Thalassemia Trait, Iron Deficiency Anemia, Hemoglobin E, and Combination. This comprehensive categorization offers clinicians a more refined and detailed comprehension of the condition. The integration of deep learning and machine learning in the Multilayer Extremely Randomized Tree Learning Machine (MERTLM) model represents a departure from traditional approaches and a significant advancement in the field of medical categorization accuracy. The MERTLM approach integrates randomized tree with multilayer extreme learning machine (M-ELM) representation learning, hence emphasizing the possibility of interdisciplinary collaboration in the field of diagnostics. In addition to its impact on anemia, artificial intelligence (AI) is playing a significant role in revolutionizing medical diagnosis by emphasizing the integration of innovative methods. This study utilizes the combined capabilities of machine learning and deep learning to improve accuracy. Notably, recent developments have resulted in an exceptional accuracy rate of 99.67%, precision of 99.60%, sensitivity of 99.47%, and an amazing F1-Score of 99.53%. This study represents a significant advancement in the field of anemia research, providing valuable insights that may be applied to intricate medical issues and enhancing the quality of patient care
A study of Palestinian students’ perspectives on their willingness to communicate with foreigners in English
Get PDFWillingness to communicate (WTC) in a foreign language (FL) has become one of the most important affective variables in the context of learning a foreign language including motivation, anxiety, learner beliefs, and many others. This study looks into the underlying causes of English students' propensity to speak English, particularly in higher education settings after the Covid-19 pandemic. The study also determines the WTC of college students in English classes. One thousand students who are presently enrolled in English programs at Palestinian universities constitute the study's participants. The study employed a descriptive research design: a questionnaire was used to collect the data, which were then analyzed using statistical analysis methods in the SPSS program. The findings of the study indicated that the two primary factors negatively affecting the WTC among English learners in Palestine's colleges and universities were personality traits and a lack of confidence in one's speaking abilities
Self-regulation in problem-based blended learning
Get PDFSelf-regulation is pivotal for student success in the 21st-century learning landscape, enabling learners to effectively manage their academic goals and processes. This research investigates the impact of problem-based blended learning on students' self-regulation skills. A quasi-experimental design was employed, featuring a non-randomized control group. The experimental group was exposed to problem-based blended learning, while the control group experienced traditional face-to-face problem-based learning. The study involved 65 students from SMA Negeri 1 Prambanan, with self-regulation assessed through a closed questionnaire addressing nine key indicators. Data analysis revealed no significant difference in self-regulation between the control and experimental groups; however, the experimental group showed better outcomes. This group's higher performance in self-regulation was attributed to the flexible, interactive, and time-independent nature of blended learning, which fosters better time management, environmental structuring, and goal-setting among students. The findings underscore the potential of problem-based blended learning to enhance students' self-regulatory capacities, ultimately contributing to improved academic achievement and the development of essential 21st-century skills
Novel Leak Detector Based on DWT an Experimental Study
Get PDFWe always face water leakage problems in underground distribution water networks (DWNs). Existing leak detectors suffer from false alarms due to poor leak signal quality affected by external noise, often collected by acoustic or vibratory sensors. This paper introduces a novel Discrete Wavelet Transform Detector (DWTD) that leverages precise pressure signals non-influenced by environmental noise. Using a prototype of a 100m PEHD pipeline and a diameter of 40mm, Data from two pressure transmitters were collected using a dSPACE MicroLabBox unit. The main idea is to apply the Discrete Wavelet Transform (DWT) with a DONOHO threshold law to cancel noises due to water turbulence fluctuations, ensuring high-quality signals for accurate leak detection and localization. As benchmarks to assess the quality of denoising signals three parameters were calculated, Signal to Noise Ratio (SNR 26.6763 dB), Normalized Cross-Correlation (NCC≈1), and Mean Square Error (0.20573 MSE 48.4761). The denoised temporal signals are obtained from the Inverse Discrete Wavelet Transform (IDWT). A Cross-correlation is employed to these signals to determine the leak’s location. The experimental validation involves positioning the first and second transmitters at specific distances on both sides of the leak position. This allows for comparison between the actual leak position in advance known and calculated positions at various points and leak sizes. With only a few exceptions where the maximum error rate reached 5 meters from the actual leak position, the detector's effectiveness was proven across tests involving four different leak sizes
Design and Implementation of Voltage Source Inverter Using Sinusoidal Pulse Width Modulation Technique to Drive A Single-Phase Induction Motor
Get PDFA study is underway under the title, Design and implementation of voltage source inverter using sinusoidal pulse width modulation technique to drive a single-phase induction motor. The objectives of the study can be achieved by building a simulation model for a single-phase full-wave inverter consisting of four IGBT transistors. The inverter converts a direct voltage of 220 volts from the power source connected to the inverter input to an alternating voltage of 220 volts RMS. A 10-ohm resistive load is fed to the inverter output. In the first test, a square wave is generated as a result of operating the inverter in the first mode, as a result of activating two electronic switches that give the value of the voltage wave to the load, while the second mode gives the negative voltage with an interval of ten milliseconds for each mode, i.e., at a frequency of 50 Hz for twenty milliseconds for the square wave generated at the inverter output. The other model uses sinusoidal pulse width modulation technique to remove harmonics and control the inverter output by opening and closing electronic switches, which leads to removing some harmonics. The third model depends on adding a filter to obtain the basic wave and get rid of the rest of the harmonics, which results in generating a sine wave. After obtaining an inverter model that converts 220 volts direct voltage to 220 volts alternating voltage RMS as a first stage, the second stage is to feed a single-phase induction motor and operate it under test conditions that include a no-load condition, i.e., zero torque, a constant load condition, i.e., 1 Newton-meter torque, and finally a variable load condition, which is similar to many applications such as a fan, pump, etc. From the simulation results, we can say that the system is effective in operating the induction motor at the specified speed (1430 rpm) after providing the specified electrical quantities, a frequency of 50 Hz, and a voltage of 220 volts alternating voltage RMS
Design of Novel STASOSM Controller for FOC Control of Dual Star Induction Motor Drives
Get PDFIn this paper, a Novel Super-Twisting Algorithm combined with Improved Second - Order Sliding Mode (NSTASOSM) for the Field-Oriented Control (FOC) of high performance SPIM drives is proposed. This structure, on the one hand, effectively solves the weaknesses of traditional backstepping control (BS) and sliding mode (SM) control that are the dependent on the change of parameters, load disturbance and the phenomenon of chattering, on the other hand, increases the convergence speed and the reference tracking ability, enhance the robust and stably of drive systems even when working in conditions of uncertain parameter and load disturbances, eliminates the chattering phenomenon. The obtained results by simulation using the Matlab/ Simulink tool verified the performance of this proposed control structure