Association for Scientic Computing Electronics and Engineering (ASCEE): Open Journal Systems
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Optimized PID Controller of DC-DC Buck Converter based on Archimedes Optimization Algorithm
Get PDFThis research assesses the suitability of the Archimedes Optimization Algorithm (AOA) as a metaheuristic technique to fine-tune a PID controller in a closed-loop DC-DC buck converter. The converter's core function is to regulate output voltage, ensuring stability despite load fluctuations and input voltage changes. The operational effectiveness of the converter hinges significantly on the gain settings of the PID controller and determining the optimal gain setting for the PID controller is a non-trivial task. For robust performance, the PID controller necessitates optimal gain settings, attainable through metaheuristic optimization. The algorithm aids in identifying ideal proportional, integral, and derivative gains based on varying load conditions. Leveraging the metaheuristic algorithm, the PID controller is optimized to minimize voltage errors, reduce overshoot, and enhance response time. The proposed PID controller, optimized using AOA, is contrasted with PID controllers tuned via alternative algorithms including the hybrid Nelder-Mead method (AEONM), artificial ecosystem-based optimization (AEO), differential evolution (DE), and particle swarm optimizer (PSO). Performance evaluation involves injecting a voltage disturbance into the buck converter with load changes of up to 20%. Results demonstrate the superiority of the AOA-optimized PID controller in voltage recovery. It demonstrates a faster response time and outstanding voltage regulation performance, while also exhibiting minimal performance degradation during load changes. This study concludes that the AOA optimization algorithm surpasses other methods in tuning the PID controller for closed-loop DC-DC buck converters
Integrated Modelling and Control of Linear Actuator Based Automatic Pedal Pressing Mechanism for Low-Speed Driving in a Road Traffic Delay
Get PDFSitting in traffic congestion for hours in a posture that requires recurrent actions of manually pressing the pedal and braking excessively can result in fatigue, especially on the driver's leg and back. This fatigue can have long-term implications and adversely affect the driver's health. Thus, this paper aims to model and develop a control system that utilizes a linear actuator to replace the leg activities involved in pressing and releasing the brake pedal. This approach, combined with the implementation of a PID controller, offers a novel solution to control the vehicle speed by integration with the linear actuator that focus on low-speed driving condition. The design process begins with creating a 3D model using SolidWorks to visualize the movement of the linear actuator and Pedal subsystem. This model is then connected to Matlab-Simulink, where a PID controller is implemented and integrated into the electrical circuit to control the actuator's movement. Integration with the vehicle dynamic model enables a comprehensive analysis of the system's behavior on the vehicle dynamics. This research compares the trial and error method with the Matlab tuner for implementing the PID controller. The performance of the system will be evaluated based on the steady state error, overshoot, rise time, and settling time. The results demonstrate that the Matlab tuner outperforms trial and error method by achieving a faster response and significantly reducing steady state error during robustness testing. With the integration of the linear actuator, the system is capable of tracking the desired speed and has the potential to replace the leg activities involved in pressing and releasing the brake pedal. For future work, validating the proposed mechanism with a physical prototype of the linear actuator and pedal using hardware-in-the-loop techniques poses a challenge, as hardware constraints may vary with different environments
Intersemiotic translation of Yixiang (Image): A case study of Tang Poetry in paintings
Get PDFThis paper focuses on intersemiotic translation of Yixiang, or image in western literary term, from poetry to painting by taking Tang Poetry in Paintings as a case to exemplify the translation strategies of Yixiang from verbal sign system to visual sign system. Furthermore, the meditative role of the visualized images in the target context will also be touched upon. A qualitative approach is applied in the study. Typical examples will be chosen for case analysis. It is found that the strategies of equivalence, focalization, integration, montage, addition, contrast and omission are employed by the painters. The effects of those visualized images varied in different cases. Overall, cooperating with the interlingual translations, visual languages such as color, shadow, body language of figures, picture structure are employed to help English readers better receive the poems
Persuasive communication model of the “Satuan Gugus Tugas†Pandemic (A case study of the “SATGAS COVID-19†in Yogyakarta)
Get PDFThe Yogyakarta government established the COVID-19 Task Force, involving various organizations, to effectively communicate with the public during the pandemic. Employing a persuasive communication model, the task force integrates the heart communication theory and utilizes techniques such as association, participation, and fear arousal. The study aims to identify this persuasive communication model's effectiveness for pandemic control. Utilizing a qualitative approach and case study methodology on the Yogyakarta COVID-19 Task Force, data collection involved interviews, observations, and documentation. The results reveal a hub-patterned organizational communication model, centered around the head of the COVID-19 Task Force, facilitating coordination. Techniques like association, participation, and fear arousal are applied to persuade the public to adhere to health protocols. Additionally, the task force incorporates the heart communication theory among field teams to manage emotions, fostering sympathy and empathy for disaster-affected populations. This approach ensures cautious communication to prevent conflicts within the community, contributing valuable insights for future disaster management strategies. This article contributes a tailored persuasive communication model for the COVID-19 Task Force, offering practical insights into effective strategies, emotional intelligence integration, and organizational communication. The focus on Yogyakarta's local context enhances the relevance of the findings, serving as a valuable resource for policymakers and disaster management teams in shaping future communication strategies
Geopolymer vs ordinary portland cement: review of the 3-d printing of concrete
Get PDFDue to the need of the construction industry to implement structures with special and complex designs, mass customization with the lowest cost, especially reducing the labor cost as well as the amount of waste and materials used, the use of concrete 3D printing can be the appropriate solution to these requirements fulfill these options. As a result, a comprehensive and practical study of the major 3D printing methods and their development in the construction industry was carried out in this study. In addition, the use of OPC-based materials and geopolymer-based materials was reviewed and compared due to the development of the materials industry and the advantages and disadvantages of using different types of cementitious materials in the 3D printing of concrete
Adaptive Droop Control Strategy for Load Sharing in Hybrid Micro Grids
Get PDFEnergy management becomes essential when distributed energy sources such as solar, wind, and fuel cell are connected in a micro-grid. In this paper, using a combination of two powerful neural network tools and fuzzy logic, intelligentization, and adaptation of droop control along with voltage and current control as one of the most common methods of decentralized control is done. One of the essential features of this method is its fast performance and the need for telecommunication infrastructure. In this paper, we provide a comprehensive control system that enables proper operation in both upstream and island network modes for both AC and DC microgrids. The proposed method is simulated to evaluate its effectiveness. The proposed structure, by adapting the control system by ANFIS structure, can properly distribute power between distributed products in a brilliant way and without the need for operators and costly telecommunications infrastructure in the face of severe disturbances such as change. The state between the connection and the island or fault occurrence ensures the stability of both the AC and DC parts of the microgrid. The results show the effectiveness of the proposed method
Kelong in the context of the gandrang bulo dance in Makassar
Get PDFKelong is a Makassar term meaning 'song,' which is one of the main elements in the Gandrang Bulo dance. Kelong, in this case, is presented simultaneously with elements of Pakakkala' (funny) dance and satirical drama or acting. Kelong is meant to educate, while pakakkala' and satire are humorous to entertain. So far, most appreciators are more interested in entertaining humor than curiosity about the meaning of kelong. This paper aims to reveal the description of the portion of the presentation of kelong in the phenomenon of the Gandrang Bulo dance. This article also tries to articulate the meaning of education and motivation to raise awareness that teaches that life is not in vain. Using a descriptive qualitative methodology, this study. Textual and musical data were specially extracted from poetry using the kelong method, including audio and visual perception. One of the achievements of this research is to provide information that there is an educational meaning tucked into the kelong. The research implementation used a descriptive qualitative method by prioritizing the collection of music data and verbal data as the unit of analysis. The finding of this research is to get the educational value tucked inside the kelong behind disproportionately contrasting elements. The significance of this research is that it really contributes as a driving force for the enthusiasm of artists in educating through the arts, especially kelong
Power Quality Improvement using a New DPC Switching Table for a Three-Phase SAPF
Get PDFThis research focuses on the analysis and design of robust direct power control (DPC) for a shunt active power filter (SAPF). The study proposes a novel switching table design based on an analysis of the impact of inverter switching vectors on the derivatives of instantaneous reactive and active powers. The goal is to reduce the number of commutations by eliminating null vectors while maintaining the desired DC-bus voltage using a PI regulator-based anti windup technique. Additionally, a robust PLL structure-based band pass multivariate filter (BPMVF) is utilized to enhance the network voltage. The research demonstrates the effectiveness of the suggested power control through extensive simulation results, showing high performance in both transient and steady-state conditions. The proposed approach offers the advantages of sinusoidal network current, and unitary power factor, and eliminates the need for current regulators and coordinate transformations or PWM generators. Further research directions could explore the practical implementation and real-world performance of this technique in power systems
Future Potential of E-Nose Technology: A Review
Get PDFElectronic Nose (E-Nose) technology unlocks the fascinating world of electronic detection, identification, and analysis of scents and odors, paving the way for innovative research and promising applications. E-Nose mimics the human sense of smell and has gained significant attention and is applied in various fields, including the food, health and drug industries, safety and crime, and the environmental and agricultural sectors. This technology has the potential to improve quality control, medical diagnostics, and hazardous material detection processes. The E-Nose consists of a combination of gas sensors that mimic the olfactory receptors of the human nose. These sensors detect and respond to different scent molecules, resulting in unique response patterns that can be interpreted and analyzed. E-Nose has found application in the food industry to assess food quality, detect contamination, and monitor fermentation processes. In the health field, it has been used for disease diagnosis, monitoring patient health, and detecting cancerous tissue. In addition, E-Nose has been used for security purposes, such as detection of explosives and prohibited substances, as well as identification of counterfeit products. In addition, it has been used in environmental monitoring for air quality assessment and agriculture for disease detection in crops. Despite its promising potential, widespread adoption of E-Nose faces challenges related to sensor sensitivity, data analysis algorithms (complex data interpretation), response diversity, regulatory considerations, implementation complexity, and cost. This article reviews the latest developments in E-Nose technology, explores its applications and future potential, and highlights challenges that need to be addressed. This is considered important because E-Nose opens up a world of electronic scent identification, and analysis with the potential to improve quality control, diagnosis, and detection
Corrective feedback: Pragmatic exposures in EFL classroom interactions
Get PDFThe questioning act is considered to be one of the most common and prominent features of classroom interactions. This analysis was proposed to reveal teachers’ questioning acts serving as pragmatic exposures in their corrective feedback strategies as they interact with students in the classroom. Data were collected from two EFL teachers that conveniently observed so-called non-intrusive observation, taking notes, and audio-recording that was subsequently transcribed. Certain episodes obtained from transcription were chosen and scrutinized in light of how well they contributed to the aim of the study using Conversation Analysis (CA). As a result, this study has yielded important insights into what and how questions are. Through corrective feedback, teacher questions were not only regarded and associated with their pedagogical purposes but also with the pragmatic and social function depending on the context where and how they possibly appeared. Besides giving a contribution to the body of knowledge, the questioning act provides significance and brings solutions to problematic classroom interactions that most teachers might have in the class