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Technological Advancements in Bite-Sized Learning: Developing a Framework for Basic Jazz Guitar Reharmonization Techniques 分段学习的技术进步:开发爵士吉他基本再和声技术框架
Pub Date : 2024-04-09 DOI: 10.37934/araset.43.1.243250
Chamil Arkhasa Nikko Mazlan, Mohd Hassan Abdullah, Mohd Azam Sulong, Ashardi Abas, Abdul Rahman Safian, Sajastanah Imam Koning, Muchammad Bayu Tejo Sampurno, Aiman Ikram Uyub, Lilis Syafiza Mohd Yatim, Muhammad Fazli Taib Saearani, Christine Augustine, Lena Farida Hussain Chin, Wong Huey Yi @ Colleen Wong, Leng Poh Gee, Zamrus Hashim, Amsalib Pisali, Kamarulzaman Mohamed Karim, Muhammad Faisal Ahmad, Nurulakmal Abdul Wahid, Tham Horng Kent, Yap Jin Hin, Mak Foong Ming, Mohammad Naquiddin Tajul Ariffin, Mohd Fauzi Amirudin, Raziman Sarbini, Flory Ann Mansor Gingging, Herry Rizal Djahwasi, Suflan Faidzal Arshad, Violetta Ayderova, Zaharul Lailidin Saidon, Hafzan Zannie Hamza, Abdul Hamid Chan, Salman Alfarisi, Sumathi Maniam, Mardiana Ismail, Zolkipli Abdullah, Shafizan Sabri, Nor Shuradi Nor Hashim, Mohd Nizam Nasrifan, Fara Dayana Mohd Jurfy, Patricia Ann Hardwick, Nur Nabila Micheal Lung Abdullah, Affendi Ramli, Riyan Hidayatullah, Fajry Sub'haan Syah Sinaga
The capability of big data technology in online data management has made virtual learning a highly popular trend nowadays. However, vast information density makes young users lose focus in mastering one particular learning unit. This situation opens up opportunities for researchers to re-evaluate music instrument learning methods. This study aims to develop a framework for bite-sized learning of basic jazz guitar reharmonization techniques. The research methodology involves a mixed-methods design of Design and Development Research (DDR) and experimental case study. The three phases of the research include analysing the needs of jazz guitar reharmonization techniques, developing a bite-sized learning framework, and validating the conceptual framework. The results of this study will be useful for online learners of all ages who want to learn jazz guitar harmony without enrolling in formal institutions. The developed method could also potentially be commercialized as an online application for bite-sized learning and adopted as a part of heutagogy approaches.
大数据技术在在线数据管理方面的能力使虚拟学习成为时下非常流行的趋势。然而,巨大的信息密度使得年轻用户在掌握某个学习单元时失去了重点。这种情况为研究人员重新评估乐器学习方法提供了机会。本研究旨在开发一个框架,用于对爵士吉他的基本和声化技术进行点对点学习。研究方法包括设计与发展研究(Design and Development Research,DDR)和实验案例研究的混合方法设计。研究分为三个阶段,包括分析爵士吉他再和声技术的需求、开发点滴学习框架和验证概念框架。本研究的结果将对想要学习爵士吉他和声而又不想进入正规机构的各年龄段在线学习者有所帮助。所开发的方法也有可能被商业化,成为一种在线应用,用于一点式学习,并作为教学法的一部分。
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引用次数: 0
Energy Harvesting Fractal Antenna for Charging Low Power Devices 为低功耗设备充电的能量收集分形天线
Pub Date : 2024-04-09 DOI: 10.37934/araset.43.1.211226
Amr Hesham, Ahmed Fawzy, Mohamed Fathy Abo Sree, Mohamed H. Abd El-Azeem
Radio frequency energy harvesting (RFEH) is a prospective technique that uses electromagnetic waves which waste in the air to create energy. This cutting-edge technology offers the ability to wirelessly charge battery-free gadgets, making it a potential alternative energy source for use in the future. Fractal antenna systems are a type of antenna that is characterized by their self-similarity and ability to operate over a wide range of frequencies. The proposed design combined two popular fractal shapes in one design. This one design combines the advantages of the other two designs. This research presents a novel multi-band fractal slot antenna design and optimization method for RFEH systems. The fractal antenna designs that were simulated using the CAD design suite, as well as the final design and performance that captured multiple bands are described. The rectifying and matching networks are next evaluated, and the ADS (Advanced Construct System) software is used to construct and simulate each circuit. Additionally, the voltage regulator, energy storage, and application are addressed along with the required voltage to completely function a wireless sensor node, which may be utilized in many applications including wearable technology and intelligent traffic systems (ITS) that control roads to improve environmental quality. Finally, experimental results demonstrated good agreement with simulations that had a high radiation efficiency and gain.
射频能量采集(RFEH)是一种利用空气中废弃的电磁波来产生能量的前瞻性技术。这种尖端技术能够为无电池小工具进行无线充电,是未来潜在的替代能源。分形天线系统是一种天线,其特点是具有自相似性,能够在很宽的频率范围内工作。所提出的设计将两种流行的分形形状合二为一。这种设计结合了其他两种设计的优点。本研究提出了一种新颖的多频带分形槽天线设计和优化方法,适用于 RFEH 系统。文中介绍了使用 CAD 设计套件模拟的分形天线设计,以及捕获多个频段的最终设计和性能。接下来对整流和匹配网络进行了评估,并使用 ADS(高级结构系统)软件构建和模拟了每个电路。此外,还讨论了稳压器、储能和应用,以及无线传感器节点完全正常工作所需的电压,该节点可用于多种应用,包括可穿戴技术和智能交通系统(ITS),后者可控制道路以改善环境质量。最后,实验结果表明与模拟结果一致,具有较高的辐射效率和增益。
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引用次数: 0
D2D Matching Techniques for Resource Allocation Management and Power Control Management in B5G/6G 用于 B5G/6G 中资源分配管理和功率控制管理的 D2D 匹配技术
Pub Date : 2024-04-09 DOI: 10.37934/araset.43.1.1732
Mai Elshreay, Eman Serag, Hussien M. Elattar, Hesham Elbadawy
The upcoming 6G network is expected to have a great integration of Device-to-Device (D2D) technology. One of the key advantages of D2D technology is its potential to minimize the load on cellular base stations, which can help extend the lifespan of cellular network infrastructure. D2D multicast communication can meet the growing demand for multimedia content in local area services by maximizing energy efficiency and device lifespan by reusing the same resources for the cellular network. In this paper, we investigate an efficient resource allocation scheme by using the One-To-Many Gale Shapley pairing algorithm (GSA) for efficient allocation and power optimization. We propose a joint optimization approach for D2MD clusters that considers the Signal-to-Interference Noise ratio and energy levels of devices' batteries. The problem is optimized, so it is divided into two convex sub-problems. In the first sub-problem, power allocation is performed for each candidate cluster-head (CH)and cellular user to maximize energy efficiency using the Dinkelbach matching algorithm. In the second sub-problem, the One-to-Many Gale Shapley matching algorithm is used to optimize resource allocation and cluster-head selection to select the Cluster Nodes (CRns) to form the cluster. Numerous investigations show that the suggested technique maintains QoS and minimal battery power requirements while increasing cluster-head longevity and energy efficiency (EE) in D2D applications.
即将推出的 6G 网络预计将大力整合设备到设备 (D2D) 技术。D2D 技术的主要优势之一是可以最大限度地减少蜂窝基站的负荷,从而有助于延长蜂窝网络基础设施的使用寿命。D2D 组播通信可通过重复使用蜂窝网络的相同资源,最大限度地提高能效和设备寿命,从而满足局域服务对多媒体内容日益增长的需求。本文利用一对多 Gale Shapley 配对算法(GSA)研究了一种高效的资源分配方案,以实现高效分配和功率优化。我们为 D2MD 集群提出了一种联合优化方法,该方法考虑了设备电池的信噪比和能量水平。该问题需要优化,因此分为两个凸子问题。在第一个子问题中,使用 Dinkelbach 匹配算法为每个候选簇头(CH)和蜂窝用户进行功率分配,以实现能效最大化。在第二个子问题中,使用一对多 Gale Shapley 匹配算法优化资源分配和簇头选择,以选择簇节点(CRns)组成簇。大量研究表明,在 D2D 应用中,所建议的技术既能保持 QoS,又能将电池电量要求降到最低,同时还能提高簇头的寿命和能源效率(EE)。
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引用次数: 0
Sustainable Development in Renewable Energy: Management of Solar Energy Application in Malaysia 可再生能源的可持续发展:马来西亚太阳能应用管理
Pub Date : 2024-04-09 DOI: 10.37934/araset.43.1.116
Lee Yee Lin, Khoo Terh Jing, Chai Tze Qing, Ha Chin Yee
The purpose of this study is to explore the factors and benefits that can encourage the building management team to adopt the solar energy usage in Malaysia. Solar energy has been long introduced to the industry as a practical renewable technology, but the adoption rate is still low in Malaysia due to the dependence on oil and fossil fuels. Thus, costs and benefits of solar energy application and the best solar panels to be used in Malaysia have been explored for practitioners’ reference to improve the adoption rate. Mixed method was adopted in this study. First, quantitative method was adopted where 200 sets of online questionnaire survey were distributed to the public to collect the information about the solar energy application. Next, a semi-structured interview was carried out to further investigate the reliability of collected data. Based on the findings of the questionnaires, the most significant benefits of solar energy are renewable and clean source of energy, eco-friendly, and cost saving. The results indicated that Mono-crystalline silicon cell is the most popular type of solar panel that widely used in Malaysia. However, the adoption of solar energy is low due to the high initial cost and insufficient knowledge and awareness among citizens. Through the results of this study, the adoption of solar energy can be doubled in future as the results reveal the factors and benefits that could help the policy makers to utilize the implementation of solar energy in residential buildings that massively consuming the energy in daily basis.
本研究的目的是探讨能够鼓励马来西亚建筑管理团队采用太阳能的因素和好处。太阳能作为一种实用的可再生技术早已被引入行业,但由于对石油和化石燃料的依赖,在马来西亚的采用率仍然很低。因此,我们探讨了太阳能应用的成本和效益,以及在马来西亚使用的最佳太阳能电池板,供从业人员参考,以提高采用率。本研究采用了混合方法。首先,采用定量方法,向公众发放 200 份在线问卷调查,收集有关太阳能应用的信息。接着,进行了半结构式访谈,以进一步调查所收集数据的可靠性。根据问卷调查结果,太阳能的最大优点是可再生和清洁能源、生态友好和节约成本。结果表明,单晶硅电池是马来西亚广泛使用的最流行的太阳能电池板类型。然而,由于初始成本较高,公民的知识和意识不足,太阳能的采用率较低。通过本研究的结果,未来太阳能的采用率可以翻番,因为研究结果揭示的因素和益处可以帮助政策制定者在日常消耗大量能源的住宅建筑中利用太阳能。
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引用次数: 0
Entanglement Detection: A Scoping Review 纠缠检测:范围审查
Pub Date : 2024-04-03 DOI: 10.37934/araset.42.2.209220
Amirul Asyraf Zhahir, Siti Munirah Mohd, Mohd Ilias M Shuhud, Bahari Idrus, Hishamuddin Zainuddin, Nurhidaya Mohamad Jan, Mohamed Ridza Wahiddin
Quantum entanglement is a critical physical process in quantum mechanics and quantum information theory. It is a required process in quantum computing, quantum teleportation, and quantum cryptography. Entanglement detection affects the performance of quantum information processing tasks. Entanglement detection has grown in popularity over the years, and various entanglement detection methods are available, though some have application and system scale limitations. This scoping review sought to identify various measurement methods for entanglement detection in both bipartite and multipartite entanglement systems. Secondary resource indexed literatures were selected based on specific keywords from literatures published between 2017 and 2021. The goal of this study is to present a proposed conceptual framework of entanglement detection based on previous work as a guidance and reference founded on one’s specific requirements.
量子纠缠是量子力学和量子信息论中的一个关键物理过程。它是量子计算、量子远距离传输和量子密码学的必要过程。纠缠检测会影响量子信息处理任务的性能。多年来,纠缠检测越来越受欢迎,出现了各种纠缠检测方法,但有些方法在应用和系统规模上有局限性。本范围审查旨在确定双方和多方纠缠系统中纠缠检测的各种测量方法。根据特定关键词,从 2017 年至 2021 年间发表的文献中选取了二级资源索引文献。本研究的目标是在前人工作的基础上,提出一个拟议的纠缠检测概念框架,作为根据个人具体要求提出的指导和参考。
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引用次数: 0
A Study on Simultaneous Measurement of Partial Discharge in Epoxy Resin Insulator using IMC and Rogowski Coil 使用 IMC 和罗戈夫斯基线圈同时测量环氧树脂绝缘体中局部放电的研究
Pub Date : 2024-04-03 DOI: 10.37934/araset.42.2.104111
Norfadilah Rosle, M. Khairul, Hafizi Rohani, W. N. Auni, Wan Mohammad, Nor Asiah Muhamad, Mohamad Kamarol, Mohd Jamil
In practice, field measurement of partial discharge is easily suffered by interferences due to the noisy signal has been mixed with the resulting partial discharge signal. Therefore, the detection and measurement of PD are important to monitor the insulation life in high voltage (HV) power equipment. The paper presents the simultaneous measurement of partial discharge (PD) pulse parameters using the impedance matching circuit and the Rogowski coil sensor to study the features of partial discharge on the epoxy resin insulator. Two different thicknesses of samples were used to observe the PD pulse parameters with the voltage applied vary depending on the thickness of the sample to attain constant electric field intensity for both samples. The step response parameters resulted from the measurement can be used as a time domain features to discriminate various types of PD in HV power equipment. Thus, the PD can be observed clearly, maintenance can be performed, and the performance of the power system can be improved.
在实际应用中,局部放电的现场测量很容易受到干扰,因为噪声信号已经混入了由此产生的局部放电信号中。因此,局部放电的检测和测量对于监控高压(HV)电力设备的绝缘寿命非常重要。本文介绍了利用阻抗匹配电路和罗戈夫斯基线圈传感器同时测量局部放电(PD)脉冲参数,以研究环氧树脂绝缘体局部放电的特征。在观察局部放电脉冲参数时,使用了两种不同厚度的样品,施加的电压随样品厚度的不同而变化,以达到两个样品的恒定电场强度。测量得出的阶跃响应参数可作为时域特征,用于区分高压电力设备中的各类 PD。因此,可以清楚地观察到 PD,进行维护,并提高电力系统的性能。
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引用次数: 0
Hybrid Gamification and AI Tutoring Framework using Machine Learning and Adaptive Neuro-Fuzzy Inference System 使用机器学习和自适应神经模糊推理系统的混合游戏化和人工智能辅导框架
Pub Date : 2024-04-03 DOI: 10.37934/araset.42.2.221233
K Sankara Narayanan, A. Kumaravel
Although technology has significantly improved the teaching and learning process, it has not been able to increase students' self-motivation and engagement at the same level. The lack of self-motivation and intermittent engagement is currently one of the primary challenges faced by educators. This new approach to learning called the hybrid gamification framework uses a combination of artificial intelligence (AI), machine learning (ML), and the Adaptive Neuro-Fuzzy Inference System (ANFIS) to create a more engaging and personalized learning experience. By tracking students' interactions and performance, the system can allocate rewards based on their progress, which helps to increase their motivation and engagement. This technology makes it possible for educators to collect and analyse data related to students' engagement patterns, quiz scores, time spent on learning activities, participation in discussion forums, and much more. This data analysis enables educators to identify struggling students and high achievers, allowing them to provide tailored support and instruction to maximize student success. A pilot implementation of this system involving 200 computer science students successfully demonstrated the effectiveness of this technology. This research provides a comprehensive understanding of gamification's impact by combining quantitative data with qualitative insights.
尽管技术极大地改善了教学过程,但却无法在同等水平上提高学生的自我激励和参与度。缺乏自我激励和间歇性参与是当前教育工作者面临的主要挑战之一。这种新的学习方法被称为混合游戏化框架,它将人工智能(AI)、机器学习(ML)和自适应神经模糊推理系统(ANFIS)结合起来,创造出一种更具吸引力和个性化的学习体验。通过跟踪学生的互动和表现,系统可以根据他们的进步分配奖励,这有助于提高他们的积极性和参与度。通过这项技术,教育工作者可以收集和分析与学生参与模式、测验分数、学习活动花费的时间、参与讨论区等相关的数据。通过数据分析,教育工作者可以发现学习有困难的学生和成绩优秀的学生,从而为他们提供有针对性的支持和指导,最大限度地提高学生的学习成绩。有 200 名计算机科学专业学生参与的这一系统的试点实施成功证明了这一技术的有效性。这项研究通过将定量数据与定性见解相结合,全面了解了游戏化的影响。
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引用次数: 0
Signal Processing Techniques of Lamb Waves for Structural Health Monitoring System - A Review 用于结构健康监测系统的λ波信号处理技术 - 综述
Pub Date : 2024-04-03 DOI: 10.37934/araset.42.2.3848
Nurazima Ismail, Mohd Hafizi Zohari, Che Ku Eddy Che Ku Nizwan, Kok Sing Lim
The structural health monitoring (SHM) system using Lamb wave approach has drawn a lot of interest because of its outstanding performance in terms of accuracy and adaptability. The implemented signal processing techniques in the diagnostic analysis are specifically reviewed in this work. The primary factors of the wide range of applied signal processing techniques are due to the multimode and dispersive behaviour of the Lamb waves. Several Lamb modes occur simultaneously, and because they have different dispersive characteristics, they can produce complicated superimposed signals. To effectively diagnose the observed signals, several mode separations approaches have been proposed. Generally, time-frequency representation is applied for signal processing techniques. The findings demonstrated that the proposed procedures were successful in decomposing the superimposed mode into individual modes for further analysis. All these works have shown how SHM systems based on Lamb waves have evolved over time to control and monitor the condition of the structure.
采用 Lamb 波方法的结构健康监测(SHM)系统因其在精度和适应性方面的出色表现而备受关注。本研究对诊断分析中采用的信号处理技术进行了具体评述。信号处理技术之所以应用广泛,主要是由于 Lamb 波的多模和色散特性。几种 Lamb 模式同时出现,由于它们具有不同的色散特性,因此会产生复杂的叠加信号。为了有效诊断观测到的信号,人们提出了几种模式分离方法。一般来说,信号处理技术采用时频表示法。研究结果表明,所提出的程序能成功地将叠加模式分解为单个模式,以便进一步分析。所有这些工作都表明了基于 Lamb 波的 SHM 系统是如何随着时间的推移发展到控制和监测结构状况的。
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引用次数: 0
Investigation Performance Analysis and Evaluation of VANET Routing Protocol on Urban Scenario Simulation: A Case Study of Melaka 城市场景模拟中 VANET 路由协议的性能分析与评估调查:马六甲案例研究
Pub Date : 2024-04-03 DOI: 10.37934/araset.42.2.2737
Nurul Fazleen Abdul Rahim, Adam Wong Yoon Khang, Aslinda Hassan, Nadiatulhuda Zulkifli, Johar Akbar Mohamat Gani, Abd Shukur Ja'afar, Vadym Shkarupylo
Vehicles on the road create a VANET network using IEEE 802.11P for wireless data exchange. However, VANET is challenging since the characteristics of VANET such as high mobility and frequent topology making it harder to design an effective routing protocol. The needs of an efficient performance routing protocol are crucial since it is to ensure a better network Quality of Service (QoS). In this paper, the evaluation of the IEEE 802.11P performance is simulated in real-world scenario using the Melaka City roadmap. In an urban setting, the impact of vehicle density on the performance of VANET routing protocols including OLSR, AODV, and DSDV are examined. Reviewing the effectiveness of the current VANET routing protocols is the goal of this research since it is crucial to know which routing has high performance under specific circumstances. Quantitative measurements including Packet Delivery Ratio (PDR), Packet Loss Ratio (PLR), and end-to-end delay are evaluated using the Network Simulator NS-3 and SUMO. Findings from the investigation show that while proactive routing protocols like OLSR and DSDV perform better in terms of end-to-end delay, AODV performs exceptionally well in terms of PDR and PLR.
道路上的车辆利用 IEEE 802.11P 建立了一个 VANET 网络,进行无线数据交换。然而,由于 VANET 的高流动性和频繁拓扑等特点,设计有效的路由协议变得更加困难,因此 VANET 具有很大的挑战性。为了确保更好的网络服务质量(QoS),对高效路由协议的需求至关重要。本文利用马六甲城市路线图,在实际场景中模拟评估了 IEEE 802.11P 的性能。在城市环境中,研究了车辆密度对包括 OLSR、AODV 和 DSDV 在内的 VANET 路由协议性能的影响。审查当前 VANET 路由协议的有效性是本研究的目标,因为了解在特定情况下哪种路由具有高性能至关重要。本研究使用网络模拟器 NS-3 和 SUMO 对数据包交付率 (PDR)、数据包丢失率 (PLR) 和端到端延迟等定量指标进行了评估。研究结果表明,虽然 OLSR 和 DSDV 等主动路由协议在端到端延迟方面表现较好,但 AODV 在 PDR 和 PLR 方面表现优异。
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引用次数: 0
Study of the Effects of Five Different Machining Fluids on the Surface Hardness and Corrosion Behaviour of Al6061 Alloy 五种不同加工液对 Al6061 合金表面硬度和腐蚀行为影响的研究
Pub Date : 2024-04-03 DOI: 10.37934/araset.42.2.7288
Imhade Princess Okokpujie, Jude Ebieladoh Sinebe, Lagouge Kwanda Tartibu
The effects of various machining fluids on the surface hardness and corrosion behaviour of Al6061 alloy were investigated in this study. The study employed the two-step method to develop the machining fluid containing TiO2 nanoparticles with various percentage concentrations. The corrosion study media consist of soluble oil (sample A1), mineral oil (sample A2), 0.2-g/l-TiO2 nano-mineral machining fluid (sample A3), 0.4-g/l-TiO2 nano-mineral machining fluid (sample A4) and 0.6-g/l-TiO2 nano-mineral machining fluid (sample 5). The corrosion study was carried out with Potentiodynamic corrosion and polarisation resistance techniques. After the corrosion study, the SEM and EDS were employed to investigate the microstructure and elemental composition of the machining fluid effects on the Al6061 alloy, and the Vickers micro-hardness machine was used to test the surface hardness of the normal face region that was exposed to the corrosion study. The results show that the soluble oil has a high corrosion rate, with the list polarisation resistance rate compared to the other machining fluid employed in this study. Furthermore, the 0.6-g/l-TiO2 nano-mineral machining fluid has the lowest corrosion rate of 0.115 (µm/year) and the highest polarisation resistance of 1.543 (MΩ). The study concluded that the 0.6-g/l-TiO2 nano-mineral machining fluid is viable for the machining process.
本研究探讨了各种加工液对 Al6061 合金表面硬度和腐蚀行为的影响。研究采用两步法来开发含有不同浓度 TiO2 纳米粒子的加工液。腐蚀研究介质包括可溶性油(样品 A1)、矿物油(样品 A2)、0.2-g/l-TiO2 纳米矿物加工液(样品 A3)、0.4-g/l-TiO2 纳米矿物加工液(样品 A4)和 0.6-g/l-TiO2纳米矿物加工液(样品 5)。腐蚀研究采用电位腐蚀和极化电阻技术进行。腐蚀研究结束后,使用扫描电镜和 EDS 研究了加工液对 Al6061 合金影响的微观结构和元素组成,并使用维氏硬度计测试了暴露在腐蚀研究中的法向面区域的表面硬度。结果表明,与本研究中使用的其他加工液相比,可溶性油具有较高的腐蚀率,其抗极化率为榜首。此外,0.6-g/l-TiO2 纳米矿物加工液的腐蚀速率最低,为 0.115(微米/年),极化电阻最高,为 1.543(兆欧)。研究得出结论,0.6-g/l-TiO2 纳米矿物加工液在加工过程中是可行的。
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引用次数: 0
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