Association for Scientic Computing Electronics and Engineering (ASCEE): Open Journal Systems
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    785 research outputs found

    Comparative Electromagnetic Performance Analysis of Double Stator and Single Stator Superconducting Generators for Direct-Drive Wind Turbines

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    Superconducting synchronous generators, especially for 10-MW direct-drive wind power systems, are gaining prominence due to their lightweight, compact design, lowering energy generation costs compared to conventional generators. With the ability to generate high magnetic fields. various approaches are exist for designing such generators for example modular superconducting generators which allow for easier assembly, maintenance, and scalability by dividing the generator into smaller, interchangeable components and single stator which simplifying the generator's design and reducing manufacturing costs. This study introduces a novel concept of a double-stator superconducting generator alongside a conventional single-stator superconducting generator, aiming to investigate and contrast the electromagnetic performance of both machine types considering different number pole pairs. Booth of the machines has been designed and studied applying 2d finite element model (COMSOL Multiphysics). The compared machine parameters include: the flux linkage and electromagnetic torque. Our study and compression of the two machines reveal that the double stator superconducting generator is characterized by high electromagnetic torque compared to its single-stator counterpart. the analysis also reveals that increasing the pole pairs number leads to high electromagnetic torque and higher magnetic flux density

    Design and Development of ANFIS based Controller for Three Phase Grid Connected System

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    A proposal is presented for a low voltage (LV) grid integrated single-stage solar photovoltaic (SPV) system, accompanied by a hybrid control methodology aimed at optimizing system performance. To address prevailing challenges, the hybrid method incorporates the Adaptive Neuro-Fuzzy Inference System (ANFIS). Anticipated benefits of this initiative include efficient power distribution, load connectivity facilitated by the system, and operational functionalities such as mode zero voltage regulation and power factor adjustment. These functionalities collectively enhance energy quality by mitigating harmonic components, compensating for reactive power, and ensuring load balance. The proposed control strategy for a photovoltaic (PV) system interfaced with the grid is designed to exhibit rapid response times in both static and dynamic conditions. Comparative analyses were conducted between the output of our method and that of several competing approaches. The MATLAB/Simulink platform is employed for the purpose of demonstrating the developed system. The results show the extent to which the proposed controller works with reactive power compensation and load balancing to minimize network harmonics and maximize power consumption while keeping power factor functions at unity

    Designing Waqf As an Alternative Public Finance for Green Infrastructure Development: A Case of Urban Forest Planning in Singaparna, Indonesia

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    The COVID-19 pandemic has brought to the forefront the need for sustainable financing mechanisms that can withstand economic shocks and ensure the provision of essential services. This research aims to shed light on the significant potential of waqf as an alternative source of financing for local governments in Indonesia in the post-pandemic era. It locates Singaparna, the capital of Tasikmalaya Regency, which has officially declared Islamic-religious values as its developing vision, and urban forest planning as the study object. The objectives are to 1) elaborate the role of Waqf in participatory development, 2) conceive technical steps actualizing Waqf for the Urban Forests, and 3) formulate the road maps. By utilizing the Desk Study method, this paper offers a design of Waqf on participatory city planning in the form of two road maps. The policy innovation can also be adopted in other identical characteristics regions in Indonesia

    Zambian children’s game songwriting research: revitalizing indigenous musical play for holistic child development in early education

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    This study explores the role of indigenous musical play in promoting holistic child development through the lens of Zambian children’s game songwriting. While global early childhood music education often relies on imported songs and commercial materials, Zambian classrooms rarely incorporate local musical traditions, resulting in cultural disconnects and limited child engagement. This research addresses the urgent need to revitalize traditional children's musical games as pedagogical tools that are culturally relevant and developmentally beneficial. The primary objective of the study is to investigate how songwriting based on indigenous children’s games can be integrated into early childhood education to support cognitive, emotional, social, and psychomotor development. Using a qualitative ethnographic approach, fieldwork was conducted across three rural communities in Zambia, involving interviews with elders, teachers, and children, alongside observation and documentation of musical play practices. A selection of children's game songs was analyzed in terms of structure, meaning, and pedagogical potential. The findings reveal that traditional game songs possess rich educational value, fostering language development, emotional expression, group cooperation, and cultural identity. Furthermore, teachers expressed renewed interest and positive responses when introduced to culturally grounded teaching materials derived from children's lived experiences. The study concludes that integrating indigenous musical play into early education not only enhances learning outcomes but also strengthens the cultural continuity between school and home environments. This research contributes to the discourse on culturally responsive pedagogy and offers practical strategies for educators seeking to enrich classroom practices with locally meaningful musical resource

    Strategies and techniques for crafting a scientific manuscript for artistic publication: a guide for academic artists in Indonesia

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    Scientific publications in the field of art creation have sparked considerable debate within the academic community in Indonesia. Issues such as the validity of artworks, assessment criteria, publication formats, and the alignment of academic standards with artistic practice have generated discussions regarding the format of publication writing. This article aims to offer alternative guidance on techniques for writing scientific publication articles in the field of art creation, particularly tailored for academic artists in Indonesia. The guidance encompasses a literature review, the selection of an appropriate methodology, the provision of relevant examples and illustrations, the application of a reflective analytical approach, the clear presentation of data and results from art creation research, as well as the development of an appropriate writing structure and language. Through this study, academic artists in Indonesia stand to benefit significantly. First, they can enhance the quality of their publications by adhering to the provided writing technique guidelines. These guidelines will aid in fortifying the substance of their articles, organizing data in a structured manner, and conveying thoughts and ideas more clearly and effectively. Second, by employing this guide, academic artists can improve their ability to disseminate their thoughts, ideas, and artistic knowledge more widely. This will enable them to contribute to the global arts community through high-quality scientific publications. By enhancing the quality of publications and fostering more effective dissemination of ideas, this research will contribute to the development and recognition of Indonesian academic artists on the global stage. Through the enhancement of publication quality and the improved dissemination of artworks, Indonesian academic artists will be better positioned to make significant contributions

    Bifurcation Analysis of a Non-Linear Vehicle Model Under Wet Surface Road Condition

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    The vehicles are prone to accidents during cornering on a wet or low friction coefficient roads if the longitudinal velocity (Vx) and steering angle (δ) are increased beyond a certain limit. Therefore, it is of major concern to analyze the behaviour and define the stability boundary of the vehicle for such scenarios. In this paper, stability analysis of a 2 degrees of freedom nonlinear bicycle model replicating a car model including lateral (sideslip angle β) and yaw (yaw rate r) dynamics only operating on a wet surface road has been performed. The stability is analysed by utilizing the phase plane method and bifurcation analysis. The obtained converging and diverging nature of the trajectories (β, r) depicts the stable and unstable equilibrium points in the phase plane. The movement of these points results in the transition of the stability known as bifurcation due to the change in the control parameters (Vx, δ). The Matcont/Matlab is utilized to obtain the bifurcation diagrams and the nature of bifurcations. The obtained results show that a saddle node (SNB) and a subcritical Hopf bifurcation (HB) exists for steering angle (±0.08 rad) and higher than (±0.08 rad) with Vx = (10-40) m/s respectively. The SNB and HB denotes the spinning of the vehicle and sliding of the vehicle respectively, thus generating a unstable behaviour. A stability boundary is obtained representing the stable and unstable range of parameters

    Recent Developments and Future Prospects in Collision Avoidance Control for Unmanned Aerial Vehicles (UAVS): A Review

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    The industry has been significantly enhanced by recent developments in UAV collision avoidance systems. They made collision avoidance controllers for self-driving drones both affordable and hazardous. These low-maintenance, portable devices provide continuous monitoring in near-real time. It is inaccurate due to the fact that collision avoidance controllers necessitate trade-offs regarding data reliability. Collision avoidance control research is expanding significantly and is disseminated through publications, initiatives, and grey literature. This paper provides a concise overview of the most recent research on the development of autonomous vehicle collision avoidance systems from 2017 to 2024. In this paper, the state-of-the-art collision avoidance system used in drone systems, the capabilities of the sensors used, and the distinctions between each type of drone are discussed. The pros and cons of current approaches are analyzed using seven metrics: complexity, communication dependency, pre-mission planning, resilience, 3D compatibility, real-time performance, and escape trajectories

    Comparative Study of ANN and SVM Model Network Performance for Predicting Brake Power in SI Engines Using E15 Fuel

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    Currently, artificial neural networks (ANNs) and support vector machines (SVMs) are the most common applications of machine learning approaches.  In this study, a comparative study of ANN and SVM is presented to evaluate the performance of each model in predicting the brake power (BP) of GX35-OHC 4-stroke, air-cooled, single cylinder gasoline engine with E15 (15% ethanol + 85% gasoline) fuel. Two models are compared based on experimental dataset that has single output (BP) and five inputs, engine speed (S), engine torque (T), intake air temperature (Tair), intake air flow (Qair), and fuel consumption (ṁ). The samples were split into three sets: Training set (70%), Validation set (15%), and the Test set (15%) based on 60 samples. The results are compared through different graphs such as target vs actual values, regression plots, histograms of prediction errors, residual plots, learning curves, and error distributions. The results showed that SVM model is indicated to have lower RMSE (0.0044) and higher EVS (0.9953), while ANN is shown to have lower value of MAPE (1.51%). These results have significant implications for the use of ANN and SVM models in real-world applications that need gradual comprehensibility and model generalization. In addition, work done with the models outlined above should try and test them in other engines and operating conditions to demonstrate the model’s and performance

    Honey Badger Algorithm Based DVR Controllers for Improved Power Quality†in a Microgrid Combined of (Wind System\ Grid\Nonlinear Load)

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    Power quality (PQ) is crucial in today's energy supply networks, where even little voltage fluctuations can have a big impact on how well household appliances and technologies operate. The suggested dynamic voltage regulator (DVR) approach helps to create a new generation power grid that is more dependable and effective. In this study, the honey badger optimizer (HBO) is used to optimize the controllers of the DVR for improving PQ via voltage control. The efficacy of the optimized DVR is further increased by its integration with a microgrid (MG) wind supply. The suggested technique makes use of a low-complexity control approach for voltage regulation to adjust for harmonic distortion, swells, and voltage dips in the addressed system. The technique accomplishes voltage improvement, bus stabilization, energy-efficient utilization, and harmonic distortion reduction by using the DVR in conjunction with an MG wind supply. Various voltage disturbances, such as balanced and unbalanced swell and sag, voltage imbalance, notching, various fault states, and power system harmonic distortion, are taken into consideration to show the approach's usefulness. The findings indicate PQ enhancement, demonstrating that the load voltage roughly matches the nominal value

    How do secondary mathematics teachers use textbooks in teaching: A case study from China

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    The method of using mathematics textbooks for teaching impacts their effectiveness as a learning and teaching medium. Therefore, it is essential to understand how to use mathematics textbooks effectively. Based on this background, this study aims to analyze the use of mathematics textbooks by an experienced Junior High School mathematics teacher in the classroom. The content analysis method is employed to compare the textbooks with the teaching materials actually used by teachers in terms of teaching content and design sequence. Teachers generally recognize the content of mathematics textbooks well and utilize most of the contents. However, the textbook content is often split, reorganized, supplemented, and deleted during use. Furthermore, teachers adjust the teaching sequence based on the textbooks. This indicates that teachers effectively redesign textbooks in their application. This research suggests that teachers should not use mathematics textbooks directly but should adapt them to fit their respective schools' contexts

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