Association for Scientic Computing Electronics and Engineering (ASCEE): Open Journal Systems
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The role of social media in glorifying criminal activities among Nigerian youth in the Marlian Empire
Full text linkSocial media platforms have become powerful tools for information dissemination and personal branding that mold shape and influence the public. Influencers and public figures leverage these networks to showcase their lifestyles and connect with audiences, particularly young people who often aspire to emulate their favorite personalities. The glorification of criminal activity on social media can inspire others to engage in similar behaviors, as in the case of the Marlian Empire in Nigeria. This study examined the complexities of the Marlian Empire’s cultural influence on the youth, by investigating how it shapes their perceptions, influences behaviors, and whether it poses a challenge to established norms of the society. The study is quantitative, adopting the descriptive survey method with questionnaires utilised as data gathering instrument from 150 undergraduates selected through simple random sampling method from Koladaisi University, Ibadan. Results from the data were analysed using the SPSS, and were presented in figures and illustrations. Findings indicate that social media played a significant role in the influence that the Marlian Empire presently has with majority of their followers emulating their lifestyle and attitude as portrayed online. The study concludes that portrayal of the celebrity culture mostly has negative impacts on the lives of youths in Nigeria and some of these unpleasant activities have been normalised. The study recommends that influential figures be encouraged to use their platforms to promote positive messages that positively influence youth behavior for proper development and growth
Expression effective communication of da'wah for Muhammadiyah young women on social media
Full text linkRahma (Rahma.id) is an Islamic website formed by a group of young Muhammadiyah women as a literacy medium with a moderate thought narrative. The purpose of this study is to analyze the literacy expression of young Muhammadiyah women in the Rahma network in the midst of social media expansion. This study uses a qualitative method with editors and contributor writers as respondents and uses the critical discourse studies paradigm of Teun A. van Dijk. The results of this study indicate that: (1) The phenomenon of the emergence of Rahma in the midst of social media expansion is an expression of young Muhammadiyah women to actualize gender equality in the contestation of Islamic discourse; (2) Rahma is a forum for young Muhammadiyah women who try to exist culturally and create social relations amidst the diversity of Islamic, Indonesian, and humanitarian narratives on social media; (3) Young Muhammadiyah women in the Rahma network read the current effective and balanced da'wah opportunities through digital literacy. (4) Although based on the young women's literacy movement in Muhammadiyah, Rahma is open, accommodating, and not limited to gender, age, organization, even religion as long as it is in line with Muhammadiyah's moderate Islamic mission
Design of a PID Speed Controller for BLDC Motor with Cascaded Boost Converter for High-Efficiency Industrial Applications
Full text linkAchieving high voltage and efficiency in brushless direct current (BLDC) motor applications is challenging, particularly in industrial settings where precise speed control is essential. This study addresses this issue by designing a cascaded boost converter with a Proportional–integral–derivative (PID) speed controller. The cascaded boost converter is first simulated in an open-loop circuit using MATLAB/SIMULINK, followed by integrating the BLDC motor and adding a PID controller to achieve precise speed control. The PID controller achieved a steady-state speed of 1500 rad/s with an input voltage of 15 volts, resulting in an output voltage of over 50 volts. The efficiency of the system was improved by 87.87% compared to traditional methods. While the PID controller effectively controls the motor speed, it may consume more power and require more complex tuning in certain operating conditions. The proposed system is suitable for high-voltage industrial applications, such as electric vehicle drives and renewable energy systems, where precise speed control and high efficiency are critical.  The PID controller is user-friendly and easy to implement, making it suitable for various industrial applications. The system was tested under varying load conditions and input voltages to ensure robust performance and reliability. Future work will optimize the PID controller for real-time applications and integrate advanced control strategies to enhance system performance. A cascaded boost converter is a type of DC-DC converter that boosts the input voltage to a higher level, while a PID controller is a control loop feedback mechanism widely used for precise control of dynamic systems
Enhancing the Performance of a Wind Turbine Based DFIG Generation System Using an Effective ANFIS Control Technique
Full text linkThis paper gives a look on producing energy using wind turbines and imposing robust Maximum Power Point Tracking (MPPT) technique to operate around an optimal rotational speed. A mechanical speed control based on PI controller is presented in order to extract the maximum power and optimizing the conversion efficiency of wind's kinetic energy into electric energy. A doubly-fed induction generator (DFIG) is utilized because it is preferable for applications in wind energy systems referring to the capability to regulate the output voltage and improve the stability of the grid. Its operational characteristics and the regulating procedures such as Indirect Vector Control (IVC) and other sophisticated strategies for instance the ANFIS controller enhance operating flexibility and optimum performance under diverse conditions. This has attributed the split to the improved ANFIS in that it includes the artificial neural networks besides the fuzzy logic since they improve on learning as well as parameter fine tuning. Some of them are working with a comparatively fewer number of data sets; and therefore, it can be useful in classification, modeling and control. This configuration enables to regulate the generator's magnetic flux, torque, and reactive power, adjusting to changes inside wind velocity and disruptions within the grid. The performance of the proposed MPPT-IIVC method is examined by way of simulations in Matlab/Simulink. The simulations concerned a dynamic model incorporating the wind turbine, the DFIG, and the electric grid. The results show that the proposed technique can incredibly enhance the wind energy, maintain precise regulation over speed, and effectively adjust and regulate grid voltage and frequency. The performance of the proposed ANFIS controller is compared with a PI controller and discovered that ANFIS enhances the robustness, precision, dynamic response, total harmonic distortion THD (%) of the injected current into the grid, the reference tracking ability and Overshoot (%)
Oil Pipeline Leak Detection in Iraqi Oil Fields based on 1DCNN
Full text linkThe oil industry plays a crucial role in Iraq's economy. There's a growing need for technologies that can quickly detect leaks in oil pipelines because leaks can have serious ramifications, including monetary losses, endangerment to public safety, environmental degradation, and resource waste. Advances in technology and software have made it possible to detect leaks. Current approaches often require manual extraction of features, which can be slow and inefficient. This paper presents a new method that proposes using convolutional neural networks (CNNs) for automatic feature extraction. The Iraqi Ministry of Oil, specifically the Basra Oil Company, provided the dataset, such as total distance (km), pressure (bar), and flow rate (STB/d). We split the data into training (70%) and testing (30%) sets. then we calculate metrics such as confusion matrices, accuracy, precision, recall, and F-score to evaluate performance and calculate errors from the regression analysis (root mean square error, root mean absolute error, and relative error). Our contribution to this work is to use 1DCNN to identify leaks, pinpoint their location, and even predict the amount of spilled oil, unlike other research that only uses it to evaluate the presence or absence of a leak only. Additionally, we've created a user-friendly interface for the system. Finally, compare the proposed approach with conventional and alternative methods to show its efficiency. In the future, we plan to expand the system to assess pipeline corrosion and predict its remaining lifespan
Design, Modeling, and Simulation of A New Adaptive Backstepping Controller for Permanent Magnet Linear Synchronous Motor: A Comparative Analysis
Full text linkIn this paper, a nonlinear adaptive position controller for a permanent magnet linear synchronous motor based on a newly developed adaptive backstepping control approach is discussed and analyzed. The backstepping approach is a systematic method; it is used for non-linear systems such as the linear synchronous motor. This controller combines the notion of the Lyapunov function, which is based on the definition of a positive energy function; to ensure stability in the sense of Lyapunov, it is necessary to ensure the negativity of this function by a judicious choice of a control variable called virtual control. But this method is mainly based on the mathematical model of the permanent magnet linear synchronous machine (PMLSM) which makes this control sensitive to the variation of the parameters of the machine, to overcome this problem an adaptive control was proposed, the adaptive backstepping control approach is utilized to obtain the robustness for mismatched parameter uncertainties and disturbance load force. The overall stability of the system controller and adaptive low is shown using the Lyapunov theorem. The validity of the proposed controller is supported by computer simulation results
Internalizing religious tolerance in elementary schools: Reality and alternative solution
Full text linkReligious intolerance is rising globally, including in Indonesia, a pluralistic nation with over 600 ethnic groups and six official religions. Ironically, cases of intolerance have emerged even in Yogyakarta, an educational and cultural barometer renowned for its local wisdom of tepa selira (mutual respect). This study investigates how elementary school teachers in Yogyakarta, Indonesia understand and internalize religious tolerance in classroom practices. Employing a qualitative phenomenological approach, data were collected through interviews, observations, FGDs, and document analysis involving 20 teachers from 10 diverse elementary schools. Findings indicate that most teachers focus on cognitive outcomes and struggle to assess tolerance in the affective domain. However, one multicultural school Pelangi Elementary demonstrates an alternative approach by emphasizing shared human values such as kindness, gratitude, and togetherness, and by removing formal religious instruction to foster inclusivity. The school integrates dialogical pedagogy, parental involvement, and community engagement, making tolerance a lived experience rather than a theoretical concept. This study concludes that religious tolerance education in diverse societies must move beyond textbooks toward character-based, participatory learning rooted in local wisdom and inclusive practice. The Pelangi model offers a promising strategy adaptable to other pluralistic contexts
Adaptive Load Frequency Control in Microgrids Considering PV Sources and EVs Impacts: Applications of Hybrid Sine Cosine Optimizer and Balloon Effect Identifier Algorithms
Full text linkThe negative impacts of microgrids (µGs) on the load frequency highlight the importance of implementing a robust, efficient, and adaptable controller to ensure stability. This work introduces an adaptive load frequency control (LFC) for an isolated µG that includes a PV system and electric vehicles (EVs), which have a significant impact on frequency. This control utilizes a combination of sine cosine optimization (SCO) and balloon effect identifier (BEI) algorithms. The controller presented in this work transforms the LFC process into an optimization problem that is highly compatible with various random situations encountered in the control process. The suggested control method is a novel approach by utilizing SCO+BEI for adaptive LFC application, resulting in a highly efficient response. The effectiveness of the proposed adaptive controller is assessed under the conditions of 17 MW variable load, system parameters uncertainties, and installed PV systems of 6 MW. MATLAB / Simulink package is rummage-sale as a digital test environment. According to simulation results, the proposed adaptive controller succeeds in regulating the frequency and power of an islanded µG. To measure the efficiency of the proposed control scheme, a comparison between other control techniques (such as adaptive controller using Jaya+BEI and classical integral controller) is done. The findings of the studied scenarios assured that the not compulsory control method using (SCO+BEI) has an obvious superiority over other control methods in terms of frequency solidity in case of random load instabilities and parameter uncertainties. Finally, it can be said that the proposed controller can better ensure the safe operation of the µGs
Experimental Validation of the Generation of Direct and Quadratic Reference Currents by Combining the Ant Colony Optimization Algorithm and Sliding Mode Control in PMSM using the Process PIL
Full text linkThis article aims to enhance the control efficiency of the Permanent Magnet Synchronous Motor (PMSM) by generating optimal reference currents  and using Ant Colony Optimization (ACO), while ensuring a minimal absorbed current condition to reduce energy consumption and optimize PMSM performance. The ACO algorithm is chosen for its ability to find global solutions and robustness in complex environments, while Sliding Mode Control (SMC) provides advantages in terms of robustness against disturbances and the ability to maintain the system in a desired state. The implementation of the processor-in-the-loop (PIL) technique using MATLAB software with code composer and the LAUNCHXL- F28069M board enables the controller to be implemented in real hardware (LAUNCHXL-F28069M) to test the simulation environment (inverter and PMSM). Our results demonstrate the efficiency of ACO compared to the analytical method (AM) in terms of response time and minimizing absorbed current for different load values. Artificial intelligence (AI) has successfully and efficiently addressed the non-linearity between torque and reference currents, thus reducing energy consumption. This has allowed for the optimization of PMSM performance in a straightforward and efficient manner
Induction Motor Performance Improvement using Super Twisting SMC and Twelve Sector DTC
Full text linkInduction motor (IM) direct torque control (DTC) is prone to a number of weaknesses, including uncertainty, external disturbances, and non-linear dynamics. Hysteresis controllers are used in the inner loops of this control method, whereas traditional proportional-integral (PI) controllers are used in the outer loop. A high-performance torque and speed system is consequently needed to assure a stable and reliable command that can tolerate such unsettled effects. This paper treats the design of a robust sensorless twelve-sector DTC of a three-phase IM. The speed controller is conceived based on high-order super-twisting sliding mode control with integral action (iSTSMC). The goal is to decrease the flux, torque, the current ripples that constitute the major conventional DTC drawbacks. The phase current ripples have been effectively reduced from 76.92% to 45.30% with a difference of 31.62%. A robust adaptive flux and speed observer-based fuzzy logic mechanism are inserted to get rid of the mechanical sensor. Satisfactory results have been got through simulations in MATLAB/Simulink under load disturbance. In comparison to a conventional six-sector DTC, the suggested technique has a higher performance and lower distortion rate