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2024 International Conference on Electrical Machines, ICEM 2024

作者： Pravica, Luka Jukic, Filip Sumina, Damir Erceg, Igor University of Zagreb Faculty of Electrical Engineering and Computing Department of Electric Machines Drives and Automation Zagreb Croatia

ISBN: (纸本)9798350370607

Synchronous reluctance machines (SynRMs) are increasingly used in various applications, such as energy conversion systems and electric drives. In addition to standard control algorithms, some of these applications also require the implementation of flying start methods that aim to estimate the rotor speed and angle before the SynRM is connected to the converter. In this way, synchronization between the SynRM and the converter is achieved, and the inrush current is reduced. This paper proposes a new method for the flying start of SynRMs based on symmetric and opposite active voltage vectors and a second-order generalized integrator (SOGI) with a frequency-locked loop (FLL). Applying such a voltage vector pattern to the terminals of a rotating SynRM induces phase current spikes whose sampled counterparts have a sinusoidal waveform. According to the derived mathematical model of the SynRM in the stationary αβ reference frame, the induced β-axis current contains no DC offset and is therefore passed to the SOGI-FLL structure to estimate the rotor angle and speed. Moreover, applying the opposite active vectors ensures a lower current distortion, guarantees the accuracy of the estimation and reduces the generated torque. The proposed method was verified by simulations in Matlab Simulink. © 2024 IEEE.

关键词： Electric drives

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Impact of Buffer Al-Content on 2DEG Mobility and Scattering Mechanisms in Double-Heterostructure GaN HEMTs 47

Impact of Buffer Al-Content on 2DEG Mobility and Scattering ...

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47th ICT and Electronics Convention, MIPRO 2024

作者： Novaković, D. Berdalovicv, I. Suligoj, T. University Of Zagreb Micro And Nano Electronics Laboratory Faculty Of Electrical Engineering And Computing Zagreb10000 Croatia

ISBN: (纸本)9798350382495

This paper investigates the dependence of two-dimensional electron gas (2DEG) mobility in GaN-based double-heterostructure high electron mobility transistors (HEMTs) on aluminum content in the AIGaN buffer layer. Our model uses the momentum relaxation time approximation for numerical calculations of low-field electron mobility, with all relevant scattering mechanisms taken into account. The simulations carried out confirm that carrier mobility is predominantly influenced by polar optical phonon (POP) and interface roughness (IFR) scattering. For that reason, further analysis focused on these two scattering mechanisms, revealing opposite trends in their impact on carrier mobility with varying buffer Al-content. Additionally, the paper discusses the impact of the changes in quantum confinement due to varying buffer Al-content, and establishes a direct connection between quantum confinement and POP/IFR scattering rates, offering comprehensive insights into their interdependences. The findings underline the importance of optimizing buffer aluminum content in AIGaN/GaN/AIGaN heterostructures to achieve higher carrier mobility by finding the optimal trade-off between scattering mechanisms. © 2024 IEEE.

关键词： High electron mobility transistors

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Temperature-Dependent Noise Performance of Single-Photon Avalanche Diodes and Active Quenching Circuits in 180-nm HV CMOS 47

Temperature-Dependent Noise Performance of Single-Photon Ava...

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47th ICT and Electronics Convention, MIPRO 2024

作者： Požar, B. Berdalović, I. Bartulović, P. Jugović, M. Suligoj, T. University Of Zagreb Micro And Nano Electronics Laboratory Faculty Of Electrical Engineering And Computing Zagreb10000 Croatia

ISBN: (纸本)9798350382495

The paper describes the temperature characterization of single-photon avalanche diodes (SPADs) and active quenching circuits (AQCs) designed and fabricated in a commercial 180-nm high-voltage (HV) bipolar-CMOSDMOS (BCD) technology. The SPAD structures utilize a deep, low-doped p-n junction as the avalanche multiplication layer, exploiting the high-voltage implant layers available in the technology. Different SPAD layouts (circular and square) are characterized in terms of current-voltage (I-V) curves, breakdown voltage, dark count rates (DCR), and afterpulsing for the temperature range from 250 to 350 K. We find that the square-shaped SPAD connected to an off-chip passive quenching circuit (PQC) exhibits a significantly higher afterpulsing probability at high excess voltages compared to the circular structure, particularly at low temperatures. The SPADs were connected to an active quenching circuit (AQC) integrated in the same technology, with the aim to suppress afterpulsing and reduce the dead time. Using the AQC, the afterpulsing probability for the square structure was reduced by more than 60% at 280 K, and the maximum count rate of the detector was increased by reducing the dead time to ≈ 800 ns. The circular SPAD device cooled down to 250 K in combination with the AQC exhibits a state-of-the-art DCR of 1.4 mHz/μ m2 at an excess voltage of 5 V. © 2024 IEEE.

关键词： Particle beams

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Analysis of Wheatstone Bridge Sensitivity for Applications in Integrated Piezoresistive Stress Sensors 47

Analysis of Wheatstone Bridge Sensitivity for Applications i...

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47th ICT and Electronics Convention, MIPRO 2024

作者： Gočan, Leo Žamboki, Andro Mikulić, Josip Schatzberger, Gregor Fellner, Johannes Marković, Tomislav Barić, Adrijan University Of Zagreb Faculty Of Electrical Engineering And Computing Zagreb Croatia Ams-OSRAM Ag Premstaetten Austria

ISBN: (纸本)9798350382495

The Wheatstone bridge configuration of sensing elements is often used in stress measurements due to its simple architecture and relatively high linearity and sensitivity when used in a full-bridge configuration. The sensitivity of the Wheatstone bridge is influenced by several factors: the initial mismatch between the resistances of the sensing elements, the inevitable resistance of the bias voltage lines, and the ratio between the sensing and bias resistances. In this paper, the effects of the aforementioned factors on the sensitivity of the Wheatstone bridge are analysed and compared to the ideal case. The bias resistances in this work originate from the transmission gates in the bias voltage lines. They are included because the sensors are intended to be used for stress mapping as elements of a matrix. Here, each sensor can be addressed individually and must be disconnected when not in use. The analysis results are confirmed by simulations that show the response of such a sensor to stress. The analysis and simulations lead to design rules and measurement methods that ensure minimum degradation of sensitivity due to the resistances in the bias voltage lines. © 2024 IEEE.

关键词： Bias voltage

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Enhanced Privacy in Data Aggregation with Secret Sharing Techniques 1

Enhanced Privacy in Data Aggregation with Secret Sharing Tec...

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1st IEEE International Conference on computing and Data Science, ICCDS 2024

作者： Yugandhar, A.C.K. Hemanth, Mandyam Gnanavel, S. SRM Institute of Science and Technology Faculty of Engineering and Technology Dept of Computing Technologies Kattankulathur603203 India

ISBN: (纸本)9798350365337

The effectiveness of wireless sensor networks is greatly impacted by wireless spoofing attacks, which are simple to initiate. The difficult issues in Wireless Sensor Networks are locating many adversaries and eliminating them, identifying spoofing attackers, and estimating the number of attackers. The spoofing attackers are located and detected using the clustering approach. This method is unable to correctly identify the attackers. Intrusion Detection System (IDS) is suggested as a solution to this issue in order to identify spoofing attackers. In order to detect the misbehaving nodes in a wireless sensor network, VANET IDS monitors node behavior in their car, such as packet transfer. The simulation results clearly show that the proposed strategy effectively and consistently detects accidents in wireless sensor networks. © 2024 IEEE.

关键词： Cryptography

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engineering graduate attribute attainment measurement models

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Australasian Journal of engineering Education 2022年第2期27卷 77-87页

作者： Ngu, LockHei Sia, Charlie ChinVoon Lee, MingHa Lakshmanan, Rajeswari Lai, JiaChi Ling, TingSoon Faculty of Engineering Computing and Science Swinburne University of Technology Sarawak Campus Sarawak Malaysia

Various outcome-based education (OBE) performance measurement approaches demonstrate students’ attainment of a set of Graduate Attributes (GA) in the engineering programme. This paper presents four measurement models, namely the indicative, explicit, GA assessment, and culminating models, to measure GA attainment. The indicative model uses the total assessment mark as an indicator for GA attainment, whereas the explicit model utilises a specific mark from an assessment. The GA assessment and culminating models utilise the explicit approach from assessments that fulfil the GA requirement. The culminating model only consists of assessments from advanced and capstone courses. This research aims to determine whether the indicative model that uses an indicator approach can significantly represent GA attainment. This research also explores assessment selection differences in GA attainment. Statistical analysis was used to determine if the models were significantly different through the paired two-sample means t-test. The indicative model could not represent the GA attainment as it differed substantially from the explicit model. Both GA assessment and culminating models can be used to represent the attainment of students’ GA. GA assessment model provides monitoring of students’ progress in GA attainment, while the culminating models enable measurement at capstones and in advanced years. © 2023, Engineers Australia.

关键词： Students

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Leveraging Internet of Things for Upstream and Downstream Real-Time Monitoring in Flood-Prone Areas: A Case Study in Brunei Darussalam 6

Leveraging Internet of Things for Upstream and Downstream Re...

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6th IEEE Symposium on Computers and Informatics, ISCI 2024

作者： Ismail, Rasyidah Suhaili, Wida Patchmuthu, Ravi Shams, Shahriar Universiti Teknologi Brunei School of Computing and Informatics Brunei Universiti Teknologi Brunei Faculty of Engineering Brunei

ISBN: (纸本)9798350353853

This study focuses and addresses the critical need for effective flood early detection and water quality assessment, particularly in regions prone to flooding in Brunei Darussalam. This is due to the alteration in weather patterns, commonly known as climate change. The research emphasizes the comprehensive understanding of the significance of pre-deployment characterization studies, which delve into various aspects such as hydrological patterns, water flow dynamics, sediment transport, and ecological conditions. This enables the development and optimal deployment of robust sensor networks and operation of Internet of Things (IoT) sensors capable of withstanding the environmental stressors by understanding the specific challenges posed by the river environment, such as variations in water levels, weather patterns and sediment concentrations. The implementation of IoT sensors in the river allows the collection and monitoring of real-time data on water quality parameters, water level, water flow dynamics and weather conditions. The use of mobile networks aims to transmit data through the gateway to display the data on a dashboard for visualization and generate an alert triggering an alarm for prompt evacuation and mitigation efforts. The integration of solar-powered IoT sensors with mobile networks offers a viable and sustainable approach for early flood detection and anomalies in water quality in river ecosystems leading to the improvement for community resilience and minimization of negative impacts floods have to infrastructure for efficient disaster management strategies around flood-prone regions in Brunei Darussalam. © 2024 IEEE.

关键词： Rivers

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An Integrated Approach To Mitigating Systemic Cyber Risk In Autonomous Electric Vehicles 100

An Integrated Approach To Mitigating Systemic Cyber Risk In ...

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100th IEEE Vehicular Technology Conference, VTC 2024-Fall

作者： Mamun, Quazi Pan, Zhenni Shimamoto, Shigeru Charles Sturt University School of Computing Mathematics and Engineering Australia Waseda University Global Center for Science and Engineering Faculty of Science and Engineering Japan Waseda University School of Fundamental Science and Engineering Faculty of Science and Engineering Japan

ISBN: (纸本)9798331517786

Integrating autonomous vehicles (AVs) within our transportation ecosystem presents exciting possibilities and introduces intricate challenges. Systemic failures due to cyberattacks on AVs could have far-reaching consequences, impacting safety and financial stability. This paper emphasizes the interdependence of stakeholders, particularly within the financial and insurance sectors. We propose a proactive approach, focusing on three objectives: (1) Systemic Risk Mitigation, (2) Premortem Analysis with a focus on cascading failures, and (3) Integration of Cybersecurity Standards tailored for autonomous electric vehicles (EVs). By addressing EV-specific vulnerabilities in charging infrastructure and telematics systems, we aim to significantly enhance the security of safety-critical cyber-physical systems, strengthen the resilience of interconnected industries, and contribute to broader economic stability. © 2024 IEEE.

关键词： Autonomous vehicles

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Big Data Analytics Using Graph Signal Processing

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Computers, Materials & Continua 2023年第1期74卷 489-502页

作者： Farhan Amin Omar M.Barukab Gyu Sang Choi Department of Information and Communication Engineering Yeungnam UniversityGyeongsan38541Korea Faculty of Computing and Information Technology-Rabigh King Abdulaziz UniversityJeddahSaudi Arabia

The networks are fundamental to our modern world and they appear throughout science and *** to a massive amount of data presents a unique opportunity to the researcher’s *** networks grow in size the complexity increases and our ability to analyze them using the current state of the art is at severe risk of failing to keep ***,this paper initiates a discussion on graph signal processing for large-scale data *** first provide a comprehensive overview of core ideas in Graph signal processing(GSP)and their connection to conventional digital signal processing(DSP).We then summarize recent developments in developing basic GSP tools,including methods for graph filtering or graph learning,graph signal,graph Fourier transform(GFT),spectrum,graph frequency,*** filtering is a basic task that allows for isolating the contribution of individual frequencies and therefore enables the removal of *** then consider a graph filter as a model that helps to extend the application of GSP methods to large *** show the suitability and the effeteness,we first created a noisy graph signal and then applied it to the *** several rounds of simulation *** see that the filtered signal appears to be smoother and is closer to the original noise-free distance-based *** using this example application,we thoroughly demonstrated that graph filtration is efficient for big data analytics.

关键词： Big data data science big data processing graph signal processing social networks

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Comparative study on thermogravimetric analysis of banana fibers treated with chemicals

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Materials Today: Proceedings 2023年 78卷 458-461页

作者： Lai, Tasha Sie Ming Jayamani, Elammaran Soon, Kok Heng Faculty of Engineering Computing and Science Swinburne University of Technology Sarawak Campus Jalan Simpang Tiga Sarawak Kuching 93350 Malaysia

Natural fibers have shown to have exceptional properties and as excellent reinforcing agents in composite materials, both of which are solutions to environmental problems. However, due to its hydrophilic nature, it tends to swell and degrade when exposed to moisture. Therefore, it will result in poor interfacial bonding with polymer matrix, and poor mechanical and thermal properties. Surface chemical treatment of fibers improved the properties of the fibers by destroying the hydrogen bond in the fiber network. An investigation has been made to study the effects of thermogravimetric analysis (TGA) on three different chemically treated banana fibers from Island of Borneo. TGA is an effective technique for performing thermal analysis. In this technique, the mass of a certain material that needs to be analyzed is observed in relation to temperature. The banana fibers obtained were subjected to chemical treatment of 5 wt% of sodium hydroxide (NaOH), 5 wt% of potassium hydroxide (KOH), and 5 wt% of calcium carbonate (CaCO3) for 24 h. The thermogravimetric analysis shows an improved thermal stability after the fibers were being treated. Besides that, it shows higher thermal stability with sodium hydroxide treated banana fiber and the least weight loss of 48% compared to other treated banana fibers. © 2022

关键词： Thermogravimetric analysis

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