cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Silicon Carbide Power Device Fabrication and Path to Commercialization Slides
Creators: Victor Veliadis
Publisher: name: IEEE
Year: 2018

PELS Webinar Slides
The presentation will discuss major SiC power device application areas and touch on foundry models, cost reduction strategies, and path to commercialization. The advantages of SiC over other power electronic materials will be outlined, and SiC devices developed for power electronic applications will be introduced. Emphasis will be placed on SiC MOSFETs, which are currently being inserted in the majority of SiC based power electronic systems. Aspects of device fabrication will be summarized, stressing processes that do not carry over from the mature Si manufacturing world and are thus specific to SiC. Finally, the presentation will highlight common SiC Edge Termination techniques, which allow power devices to reach their full high voltage potential.
Design Methodologies for High Frequency Multiwinding Magnetics- from Fundamental Principles to Design Tools-Slides
Creators: Minjie Chen
Publisher: name: IEEE
Year: 2021

PELS Webinar Slides
Abstract: High frequency magnetics with new materials, innovative core structures and intricate winding patterns are needed to improve the performance, enhance the functionality, and reduce the size of power electronics systems. The talk will focus on design methodologies of high frequency multiwinding magnetics, ranging from fundamental principles to design tools. We will first introduce a systematic approach to modeling the impedance and current distribution in planar magnetics. A software tool – M2SPICE – will be introduced to quickly convert a planar design into a SPICE netlist. A unified model to design and simulate multiphase coupled inductors will then be presented. The model is applied to designing vertical coupled magnetics in ultra-high-current point-of-load (PoL) voltage regulators for future microprocessors. Finally, we will talk about our recent progress in machine learning-based core loss modeling methods for power magnetics, which will open a wide range of opportunities toward fully automated design of power magnetics.
Flux Modulation Machines Slides
Creators: Ronghai Qu
Publisher: name: IEEE
Year: 2018

PELS Webinar Slides
Different from regular PM machines, flux modulation machines are with different stator and rotor pole numbers, and produce steady torque based on the so called flux modulation effect. The special operation principle makes flux modulation machines high torque density and low-pulsation torque, and more design freedoms lead to many novel machine topologies for different applications. This webinar will be a summarized presentation of Flux Modulation Machines, from principle, features to topologies.  After a short introduction, the Webinar will focus on machine family definition and difference with traditional machines,  operation principles, and topologies. After introducing three machine major components, flux modulator, armature and excitation field,  different flux modulation machine topologies will be introduced based on different rotating components. Common features will  be summarized, main concerns and challenges will also be discussed. At the end, analyses, designs, and prototypes of vernier machines, a flux-modulation machine family member, will be demonstrated.
How to Effectively use LinkedIn to Further Ones Career-Slides
Creators: Roland Block
Publisher: name: IEEE
Year: 2020

PELS Webinar Slides
Abstract: This presentation provides often hidden insights into LinkedIn. Novice to expert LinkedIn users find this presentation eye-opening. Topics include why LinkedIn is important, LinkedIn as a Research Tool for networking and finding opportunities, creating an effective profile, and developing a personal brand. Roland combines over a decade of practical LinkedIn skills, two decades of professional marketing experience, and career readiness perspective into a presentation of over a 99 percent of surveyed attendees would recommend to a peer.
Design Consideration for Transformers in Full-Bridge Phase Shift Converters-Slides
Creators: Jose Molina & Lucas Nicieza
Publisher: name: IEEE
Year: 2020

PELS Webinar Slides
Abstract: Full-Bridge Phase Shift converters are very common in different industries as Electric Vehicles, Telecommunications or Industrial applications. Nevertheless, the trends of increasing the power density using new semiconductor technologies are limited due to the magnetic size and design complexity. During this presentation, we will discuss some common problems, explaining some guidelines and some examples.
Reliability of Modern Power Electronic based Power Systems-Slides
Creators: Saeed Peyghami
Publisher: name: IEEE
Year: 2020

PELS Webinar Slides
Abstract: Electric power system modernization is essential for reliable and secure power delivery with low to zero carbon footprint. It requires deploying new technologies and infrastructure as well as deregulating the electricity sector. Some stablished technologies have a considerable role in power systems modernization including renewable energy resources, storages, electronic transmission and distribution systems, and e-mobility. Notably, power electronics plays an underpinning role in energy conversion process of aforementioned technologies. Particularly, moving toward one hundred percent renewable energies has intensified the importance of power electronics in future power systems. However, power converters are one of the frequent sources of failures in many applications, hence introducing high downtime and maintenance costs. This talk will cover advanced reliability modeling and enhancement techniques in modern power electronic based power systems from device level up to system level.
Ignition and Flame Stabilization in n-Dodecane Turbulent Premixed Flames at Compression Ignition Engine Conditions
Creators: name: Farjam, Samyar
Publisher: name: Université d'Ottawa / University of Ottawa
Year: 2021
Subjects: Direct numerical simulation
Premixed turbulent flame
Compression ignition engine
Spray A

description: Controlling ignition timing and flame stabilization is one of the most outstanding challenges limiting the development of modern, efficient and low-emission compression ignition engines (CIEs). In this study, the role of turbulence on two-stage ignition dynamics and subsequent flame stabilization at diesel engine conditions is assessed by performing direct numerical simulations in a simplified inflow-outflow premixed configuration. The thermochemical conditions are chosen to match those of the most reactive mixture in the Engine Combustion Network’s n-dodecane Spray A flame (temperature of 813 K, pressure of 60 atm, equivalence ratio of 1.3, and with 15% vol. O2 in the ambient gas). Inflow velocities 4 to 16 times larger than the laminar flame speed are considered. As a result, in the absence of turbulence, ignition and flame stabilization are controlled by advection and chemistry, diffusion being negligible. Ignition delays match those of the homogeneous reactor and both the cool flame, due to low-temperature chemistry (LTC), and the hot flame, due to high-temperature chemistry (HTC), are spontaneous ignition fronts. Turbulence alters this picture in two ways. First, the second-stage (HTC) ignition delay is increased considerably, in contrast with the first-stage (LTC) ignition delay, which remains virtually unaffected. Second, a sufficiently high turbulence intensity makes the cool spontaneous ignition front transition to a cool deflagration which moves upstream to the inlet, while the hot flame is pushed downstream, still stabilized by spontaneous ignition. The latter phenomenon is caused by the reduced reactivity of LTC products as the cool flame transitions from spontaneous ignition to deflagration. Further increasing the turbulence intensity leads to both cool and hot flames transitioning to deflagrations. For the hot flame, the mechanism governing this transition is the increase in magnitude of progress variable gradient under increased turbulence or reduced inflow velocity, while in cool flames it is mainly due to the reduction in chemical source terms. In addition to turbulence intensity, the role of inflow velocity, integral length scale, and oxygen concentration level on this transition is assessed and modeling challenges are discussed. Finally, a chemical explosive mode analysis is provided to further characterise the ignition and transition phenomena. The present results highlight important fundamental roles of turbulence expected to modulate CIE combustion dynamics.
A Review of Advanced Power Module Packaging and Thermal Management in WBG Era-Slides
Creators: Fang Luo
Publisher: name: IEEE
Year: 2019

PELS Webinar Slides
Abstract: Wide Bandgap (WBG) devices with superior performance over traditional silicon power devices have become the prime candidates for future high-performance power electronics energy conversion. Traditional device packaging starts turning into a limiting factor in fully realizing the benefits offered by WBG power devices, and thus, improved and advanced packaging structures are required to bridge the gap between WBG devices and their applications. This talk provides a review of the state-of-art advanced module packaging technologies for SiC and GaN devices with the focuses on module layout, packaging material system, and module integration trend, and potential thermal management solutions in these WBG power electronics systems.
Conductive Charging of Electrified Vehicles-Challenges and Opportunities-Slides
Creators: Haoyu Wang
Publisher: name: IEEE
Year: 2020

PELS Webinar Slides
Abstract:The transportation sector consumes approximately 28 percent of the total energy consumption. The most prominent sustainable solution to profoundly reduce both oil consumption and greenhouse gas emissions lies in grid-enabled electric vehicles (EVs). These vehicles are propelled either partially or fully by electricity through energy storage systems such as electrochemical batteries, which need to be charged from the grid. One of the most important realities that will facilitate the adoption of grid-enabled plug-in EVs (PEVs) is the method by which these vehicles will be charged. Currently, conductive charging is the dominant charging technology in commercially available PEVs.
In this webinar, I will give an extensive overview of the conductive charging technology of PEV from the perspective of a power electronics professional.  The background review covers the charging power levels, PEV charger architectures, charging profiles of Lithium-ion batteries, as well as the challenges and opportunities. Followed by is a comprehensive review of state-of-the-art emerging solutions to those technological challenges. The advanced topics include innovative circuit topologies, advanced control strategies, integrated architectures wide bandgap devices, and boosted power density with high switching frequency. Furthermore, I will give an introduction to our recent related research works. Finally, the webinar concludes with an outlook on future technology trends.
Power Electronics-Enabled Autonomous Power Systems - Synchronized and Democratized (SYNDEM) Smart Grids Slides
Creators: Qing-Chang Zhong
Publisher: name: IEEE
Year: 2018

PELS Webinar Slides
Power systems are going through a paradigm change from the current power systems dominated by electric machines to the next generation smart grid enabled by power electronics, presenting a great opportunity to the power electronics society. In this lecture, it will be shown that the power electronic converters in millions of active, intermittent, non synchronous, variable and distributed energy resources and flexible loads can be controlled to behave like virtual synchronous machines (VSM). They can all take part in the regulation of power system frequency and voltage via independent individual actions in a synchronized and democratized manner, leading to synchronized and democratized smart grids. Moreover, the dedicated synchronisation units, often phase locked loops, can be removed to further reduce complexity and improve performance. These active distributed players only require local information and communicate with each other through the power network, rather than through additional communication infrastructure, bringing stability, scalability, operability, reliability, security and resiliency to next generation smart grids.  Click www.syndem.com for more details.
Medium Frequency Transformer Design Optimisation for Solid State Transformers Slides
Creators: Drazen Dujic
Publisher: name: IEEE
Year: 2019

PELS Webinar Slides
Abstract-
With increased interest in Solid State Transformers, several technical problems arise related to actual realization of these technologies. Irrespectively of adopted power electronic topologies, these structures are characterized as being modular and having inherently built-in galvanic isolation at medium or high frequency. Designing a high-power high-voltage medium frequency transformer is associated with multiple technical challenges related to electrical, magnetic, dielectric and thermal performance limits encountered in the system. Various technological choices must be carefully considered and selected before being included into a generic multi-objective optimization. Webinar will provide an overview and address challenges coming from the application area, characteristics of involved materials and available design choices, associated modelling of different elements impacting medium frequency transformer design, as well as optimization process as whole. Multiple illustrative design examples will be critically analysed in terms of their key performance indicators, and supported with practical examples realized in the laboratory.
Biography:

Drazen Dujic is an Assistant Professor and Head of the Power Electronics Laboratory at EPFL. He received the Dipl.Ing. and MSc degrees from the University of Novi Sad, Novi Sad, Serbia in 2002 and 2005, respectively, and the PhD degree from Liverpool John Moores University, Liverpool, UK in 2008.
From 2003 to 2006, he was a Research Assistant with the Faculty of Technical Sciences at University of Novi Sad. From 2006 to 2009, he was a Research Associate with Liverpool John Moores University. After that he moved to industry and joined ABB Switzerland Ltd, where from 2009 to 2013, he was Scientist and then Principal Scientist with ABB Corporate Research Center in Baden-D�ttwil, and from 2013 to 2014 he was R&D Platform Manager with ABB Medium Voltage Drives in Turgi. He is with EPFL since 2014.
His research interests include the areas of design and control of advanced high power electronic systems and high-performance drives, predominantly for the medium voltage applications related to electrical energy generation, conversion and storage. He has authored or co-authored more than 100 scientific publications and has filed twelve patents.
In 2018 he has received EPE Outstanding Service Award and in 2014, the Isao Takahashi Power Electronics Award for Outstanding Achievement in Power Electronics,. He is Senior Member of IEEE, EPE Member, and serves as Associate Editor for IEEE Transactions on Power Electronics, IEEE Transactions on Industrial Electronics, IET Electric Power Applications and EPE Journal.
Branch Mutation Rates and Selection Give Insights on Gene Family Trees: N-methyltransferases, FAD2 Enzymes and Terpenes
Creators: name: Santos Muñoz, Daniella
Publisher: name: Université d'Ottawa / University of Ottawa
Year: 2021
Subjects: subject: Bioinformatics
subject: FOS: Computer and information sciences
subject: Phylogenetics
subject: Evolution
subject: Functional genetics

description: Gene trees enable the detailed study of the evolution of genes. These trees can be additive, based purely on mutational counts, or ultrametric, where the branches represent the time elapsed. The purpose of this thesis will be to relate evolutionary rate changes to gene function by examining the effects of a tree transformation on gene trees. The study will focus on the coffee genomes C. arabica, C. eugenioides and C. canephora. Three gene family trees will be studied: N-methyltransferases, FAD2 enzymes and terpenes. An additive tree can be transformed into an ultrametric tree using a transformation method. By taking each additive tree branch length and dividing the branch by the ultrametric branch length we can get a branch mutation rate. To quantify functional divergence, we compared aligned sequences of genes from groups of interest to calculate the ratio of non-synonymous mutations to synonymous mutations (Kn/Ks). Kn/Ks was found to correlate with the branch mutation rate in some but not all groups of interest. In groups in which correlation was present, there was also a correlation between Kn/Ks and branch length. The branch mutation rate can be used in some cases to further prove that functional divergence is present.
Selective chemical modification of polysaccharides
Creators: name: Yalpani, Mansur
Publisher: name: University of British Columbia
Year: 2010

description: Various synthetic procedures were designed for selectively transforming carbohydrate polymers into versatile products with a wide range of applications using as substrates several abundant and industrially important polysaccharides (alginate, cellulose, chitin, chitosan, guaran, locust bean gum, xanthan gum). Thus, alkyl amide, amine, ester, and hydrazine derivatives of alginic acid as well as similar derivatives of cellulose and xanthan gum were prepared. Selective modification of chitosan afforded N-aryl derivatives which were found to be highly efficient metal-chelating agents. Attachment of carbohydrate moieties to the amino groups of chitosan using reductive alkylation yielded a new class of branched, comb-like, 1-deoxyglucit-1-yl derivatives which exhibited a great diversity of useful properties in terms of solubility, gel-formation, compatibility, and interaction with other polysaccharides. The synthetic principles of this procedure were found to be amenable for adaption to other polysaccharide systems and branching types, as exemplified by a guaran derivative with chain-extended trisaccharide branches. Reductive alkylation of chitosan using ferrocenylaldehyde and sodium cyanoborohydride produced a new type of organometallic polysaccharide derivative. Combined enzymic and chemical modifications were found to be high-yielding for guaran and locust bean gum: specific oxidations using galactose oxidase afforded versatile C6' aldehyde intermediates which were reductively aminated to produce a wide variety of useful derivatives including synthetic glycoproteins and glycopeptide analogues. Various spectroscopic and other instrumental techniques were employed for the characterization of the polysaccharide derivatives and some native polymers in terms of their primary structure, three dimensional shape, and surface structure, as well as the molecular mobility of the hydrated polymer chains. Thus, nitroxide spin-labelling was utilized to monitor the course of many of the modification reactions, and provided evidence for a heterogeneous galactosyl-branch distribution for guaran and locust bean gum which was in agreement with a recently proposed structural model for these polymers. Esr experiments suggested heterogeneities in surface structure for chitosan and cellulose. The structural elucidation of several branched-chain chitosan deriva-tives and of guaran and locust bean gum was accomplished using ¹³C-nmr spectroscopy. Electron microscopy (SEM) of xerogels derived from branched-chain chitosan derivatives revealed a wide variety of ultra-structures ranging from smooth, non-porous to microporous.
PELS/IAS Joint Webinar: Powering the next decade by reviewing the past Slides
Creators: Stephanie Butler
Publisher: name: IEEE
Year: 2019

PELS Webinar Slides
Abstract- The IEEE Energy Conversion Congress and Exposition, ECCE, recently celebrated its tenth anniversary � a decade that coincided with an unprecedented shift in technology for power generation, delivery, and conversion. This shift, coupled with the advent of smart phones and IOT, has enabled an explosive growth in electronification in industrial, consumer, and automotive markets. According to IC Insights, power management ICs ship in greater quantity than any other type of IC device. The resulting broad application corresponds with an impressive expansion in the features and capabilities of power semiconductors to address the vast scope of end equipment needs. This presentation will examine the changes in power management semiconductors over the past decade. Integration, system in package, voltage levels, and process technologies will be discussed. How different features are necessary for different markets and applications will be considered. The webinar will conclude with an examination of this year�s Applied Power Electronics Conference (APEC), demonstrating the continued expansion of semiconductor capabilities and applications.
Slides for Big Data Applications in Power Systems: Panel 1-Challenges
Creators: Ben Kroposki
Guohui Yuan
Tony Kuh
Power Zhao
Anu Annaswamy
Publisher: name: IEEE
Year: 2021

Panel 1 Slides: Advancing Energy Infrastructure Resilience using Data Analytics and Artificial Intelligence
Advancing Energy Infrastructure Resilience using Data Analytics and Artificial Intelligence
-Panel 2 : Opportunities
Wide Bandgap (WBG) Power Electronics for Heavy Duty Vehicle-Slides
Creators: Brij N. SIngh
Publisher: name: IEEE
Year: 2021

PELS Webinar Slides
Abstract: This presentation will discuss public information related to John Deere project funded by the US DOE-PowerAmerica. Through PowerAmerica, John Deere has formed a collaboration with researchers from the US Department of Energy National Renewable Energy Laboratory (DOE NREL) to develop a 200 kW 1050 VDC silicon carbide (SiC) dual inverter. The SiC inverter converts vehicle engine power into electrical power needed for the permanent-magnet-motor based powertrain used in heavy-duty construction and mining vehicles. The presentation will cover development and test verification of various technologies deployed in the successful realization of a power-dense (43 kW/Liter) high-temperature (suitable for 115 deg C water-ethylene-glycol coolant) high-efficiency (> 98% over entre range of coolant) SiC dual inverter. Test results from various generations of the SiC inverter will be presented. John Deere has successfully demonstrated the SiC inverter in a JD 644K Hybrid Loader, using the engine radiator fluid to cool the SiC power electronics. Since then this SiC inverter has been operating on a prototype vehicle and 100s hours of continuous operation of the WBG drivetrain didn’t show any field issue. In addition to in-vehicle testing of the SiC inverter, John Deere has gained ~3,500 hours practical experience by testing of SiC inverter in a back-to-back motor dynamometer. The DOE-PowerAmerica funding has helped John Deere in accelerated development of the SiC inverter technology including realization of key commercialization objectives
Astrometric and photometric observations of six brightest trans-Neptunian objects at the Kyiv comet station
Creators: name: Baransky, Alexander
name: Lukina, Oleksandra
name: Borysenko, Serhii
Publisher: name: arXiv
Year: 2021
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: FOS: Physical sciences

description: In this work, we focused on observations of six trans-Neptunian objects (TNOs) whose apparent magnitudes are brighter than 20 mag. We present the results of astrometric and photometric observations of (134340) Pluto, (136108) Haumea, (136472) Makemake, (136199) Eris, (90482) Orcus and (20000) Varuna obtained at the Kyiv comet station (Code MPC 585) in 2017-2019. For observations, we used the 0.7-m reflector AZT-8 with the FLI PL4710 CCD camera and filters of the Johnson-Cousins photometric system. From our images, we measured the objects astrometric positions, calculated apparent magnitudes in the BVRI (mostly R) bands using the aperture photometry method, and found the absolute magnitudes together with the colour indices in several bands. Analysing our results, we investigate the limitation on the astrometry and photometry of faint objects with the 0.7-m telescope.
description: 7 pages, 1 figure, 5 tables
A Slightly Supercritical Condition of Regularity of Axisymmetric Solutions to the Navier-Stokes Equations
Creators: name: Seregin, G.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Analysis of PDEs (math.AP)
subject: FOS: Mathematics

description: In the note, a new regularity condition for axisymmetric solutions to the non-stationary 3D Navier-Stokes equations is proven. It is slightly supercritical.
description: 25 pages
February: Green Hydrogen
Creators: Pierluigi Mancarella
Sivapriya Mothilal Bhagavathy
Jagruti Thakur
Vishalya Sooriarachchi
Doug Houseman
Publisher: name: IEEE
Year: 2021

Newsletter
Issue on Green Hydrogen featuring Green Hydrogen: A Tale From Two Countries", "Green Hydrogen - Challenges for commercialisation", "Green Hydrogen and Transportation Industry – An Overview of High-Speed Railways", "Curtailment of renewables and hydrogen"
SpecTNT: a Time-Frequency Transformer for Music Audio
Creators: name: Lu, Wei-Tsung
name: Wang, Ju-Chiang
name: Won, Minz
name: Choi, Keunwoo
name: Song, Xuchen
Publisher: name: arXiv
Year: 2021
Subjects: subject: Sound (cs.SD)
subject: Machine Learning (cs.LG)
subject: Audio and Speech Processing (eess.AS)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Transformers have drawn attention in the MIR field for their remarkable performance shown in natural language processing and computer vision. However, prior works in the audio processing domain mostly use Transformer as a temporal feature aggregator that acts similar to RNNs. In this paper, we propose SpecTNT, a Transformer-based architecture to model both spectral and temporal sequences of an input time-frequency representation. Specifically, we introduce a novel variant of the Transformer-in-Transformer (TNT) architecture. In each SpecTNT block, a spectral Transformer extracts frequency-related features into the frequency class token (FCT) for each frame. Later, the FCTs are linearly projected and added to the temporal embeddings (TEs), which aggregate useful information from the FCTs. Then, a temporal Transformer processes the TEs to exchange information across the time axis. By stacking the SpecTNT blocks, we build the SpecTNT model to learn the representation for music signals. In experiments, SpecTNT demonstrates state-of-the-art performance in music tagging and vocal melody extraction, and shows competitive performance for chord recognition. The effectiveness of SpecTNT and other design choices are further examined through ablation studies.
description: 6 pages
Integrated Power Delivery and Management for High-Performance Digital Systems-Slides
Creators: Hanh-Phuc Le
Publisher: name: IEEE
Year: 2020

PELS Webinar Slides
Abstract - The need for an efficient power management solution has never been more critical across virtually all electronic devices and systems from low power to high power, smartphones to data centers, battery-powered components to renewable-energy-powered grids, and from stationary systems to aircraft. The key, common challenge for power management in these systems is to satisfy increasingly demanding requirements in terms of efficiency, size, reliability, and cost, simultaneously. This talk will present a unique flow of integrated power converter architectures, topologies, and circuit techniques to address this challenge. Particularly, the speaker will discuss his group research work on a family of hybrid converters that achieve high efficiency for high output power density and current density.
Bio -  Dr. Hanh-Phuc Le is Assistant Professor of ECE at the University of California, San Diego. He received the B.S. from Hanoi University of Science and Technology in Vietnam (2004), M.S. from KAIST, Korea (2006), and Ph.D. from UC Berkeley (2013), all in Electrical Engineering. In 2012, he co-founded and served as the CTO at Lion Semiconductor until October 2015. He was with the University of Colorado Boulder from 2016 to 2019, and recently joined the ECE department at UCSD. He also held R&D positions at Oracle, Intel, Rambus, JDA Tech in Korea and the Vietnam Academy of Science and Technology (VAST) in Vietnam. His current research interests include miniaturized/on-die power conversions, large conversion ratios, smart power delivery and control for high performance IT systems, data centers, telecommunication, robots, automotive, mobile, wearable, and IoT applications. Dr. Le received the 2012-2013 IEEE Solid-State Circuits Society Pre-doctoral Achievement Award, and the 2013 Sevin Rosen Funds Award for Innovation at UC Berkeley. He authored two book chapters, over forty journal and conference papers with one best paper award, and is an inventor with 18 U.S. patents (10 granted and 8 pending). He serves as an associate editor of the IEEE Journal of Emerging and Selected Topics in Power Electronics (JESTPE), the TPC chair for the 2018 International Workshop on Power Supply On Chip (PwrSoC 2018), and TPC co-chair for PwrSoC 2020. He is currently the chair of the IEEE Power Electronics Society Technical Committee on Power Conversion Systems and Components (IEEE PELS TC2).
PowerSynth-A Power Module Layout Generation Tool-Slides
Creators: Alan Mantooth & Tristan Evans
Publisher: name: IEEE
Year: 2020

PELS Webinar Slides
Abstract: PowerSynth is a multiobjective optimization tool for rapid design and verification of power semiconductor modules. By using reduced order models for the calculation of electrical parasitics of the layout and thermal coupling between devices, optimal trace layout and die placement can be simultaneously achieved orders of magnitude faster than conventional finite element analysis (FEA) techniques. An overview of the tool its modeling methods model validation and module layout optimization are presented. The electrical and thermal models are validated against FEA simulations and physical measurements of built modules generated from the tool. The FEA comparisons are performed with FastHenry and ANSYS Icepak to evaluate electrical parasitics and thermal behavior        respectively. A sample hardware prototype based on a half-bridge circuit topology is chosen for testing. Excellent agreement between the FEA simulations experimental measurements and PowerSynth predictions are demonstrated. Additionally when compared with conventional simulation runtime and workflow PowerSynth takes considerably less computation and user time to produce several candidate layout solutions from which a designer may easily balance selected tradeoffs.
An Event Driven Cyber Security Framework for Power Electronic Systems-Slides
Creators: Subham Sahoo
Publisher: name: IEEE
Year: 2021

PELS Webinar Slides
Abstract: As power electronics (PELS) have emerged as the key frontiers towards green transition, their moderation for grid-supportive services has become topics of practical interest. This moderation often brings information and communication technologies (ICT) into the operation and control stage of PELS, which renders them vulnerable to cyber attacks at the same time. These attacks can affect their operation in many unpredictable ways. Hence, a cyber security framework for power electronic systems is the need of the hour to ensure normalcy under cyber attacks. Hence, this lecture will first assess the risks of cyber attacks in PELS and then present an event-driven control solution to detect and mitigate cyber attacks. Moreover, the said framework also isolates malfunctioning events such as sensor faults, line-to-line faults from cyber attacks in a timely manner. Towards the end of the lecture, some videos on resiliency of PELS captured from an experimental prototype against the most prominent cyber attacks will be demonstrated to conclude with future research directions in this field.
The End Is Near: The Problem of PLL Power Consumption
Creators: Behzad Razavi
Publisher: name: IEEE
Year: 2021

Webinar Slides
Abstract - Phase-locked loops (PLLs) play a critical role in communications, computing, and data converters. With greater demands for bandwidth efficiency in wireless systems and higher data rates in wireline transceivers, the maximum tolerable jitter of PLLs has fallen into the sub-100-femtosecond range. Similarly, analog-to-digital converters (ADCs) require extremely low clock jitters as they push for higher resolutions and higher speeds. These trends inevitably raise the PLL power consumption, potentially making it a significant part of the system's power budget. This presentation formulates the jitter-power trade-offs in PLL design, predicting some alarming trends. It is shown that, even if only the VCO power consumption is considered, jitter values falling to a few tens of femtoseconds will translate to watts of power. Moreover, it is observed that PLLs are likely to draw more power than the ADCs that they drive. For example, a 12-bit, 10-GHz ADC will require that the VCO drain more than 3 W for a 3-dB SNR penalty due to jitter. These trends call for innovations in the design of PLLs, crystal oscillators, and ADCs.
Speaker Bio - Behzad Razavi is Professor of Electrical Engineering at UCLA, where he conducts research on analog and RF integrated circuits. An IEEE Fellow, Prof. Razavi has served as an IEEE Distinguished Lecturer and has published more than 200 papers and eight books. He has received eight IEEE best paper awards and four teaching awards, and his books have been published in seven languages. He received the 2012 IEEE Pederson Award in Solid-State Circuits and was recognized as one of the top ten authors in the 50-year history of the IEEE International Solid-State Circuits Conference. He is a member of the US National Academy of Engineering and the recipient of the 2017 IEEE CAS John Choma Education Award.
Catocala californiensis Brower 1976
Creators: name: Hawks, David
Publisher: name: Zenodo
Year: 2010
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Lepidoptera
Noctuidae
Catocala
Catocala californiensis

description: Catocala californiensis Brower Fig. 17 Catocala californiensis Brower, 1976: 30 Type material. Catocala californiensis: holotype ♁ [USNM, examined]. Type locality: Ranch two and one half miles south-southwest of Valyermo, Los Angeles Co[unty], Calif[ornia, USA]. Diagnosis. Catocala californiensis is most similar to C. johnsoniana in forewing coloration, and to C. benjamini mayhewi in hindwing coloration. However, on the forewing, C. johnsoniana has a conspicuous basal dash (lacking or very small in C. californiensis), and longer teeth in the postmedial line with a shorter and wider inner hindwing black band than in C. californiensis. Etymology. I suggest the common name “Ashy-gray Underwing” for C. californiensis based on Brower’s description of the forewing ground color. The “ California Underwing” is probably best applied to C. californica W. H. Edwards (1864). Distribution and biology. Catocala californiensis occurs in southern California along the desert-facing slopes of the Peninsular and Transverse Ranges to the southeastern edge of the Coast Ranges in Santa Barbara County. County records for USA are as follows. CALIFORNIA: Kern, Los Angeles, Riverside, San Bernardino, San Diego, Santa Barbara, Ventura. Th e immature stages of C californiensis have been described and the larva figured by Johnson (1985). Larvae feed on Quercus cornelius-mulleri at the San Bernardino, Riverside, and San Diego County localities, and they probably feed on Q. turbinella at the Los Angeles, Kern, Santa Barbara, and Ventura county localities. Adults have been collected from mid-June to late August. Th e northwestern-most populations represent a distinctive new subspecies (Hawks, in prep.).
description: Published as part of Hawks, David, 2010, Review of the Catocala delilah species complex (Lepidoptera, Erebidae), pp. 13-35 in ZooKeys 39 (39) on pages 27-28, DOI: 10.3897/zookeys.39.439, http://zenodo.org/record/576631
description: {"references": ["Brower AE (1976) New Catocala of North America. Journal of The Lepidopterists' Society 30: 33 - 37.", "Edwards WH (1864) Descriptions of certain species of Catocala, found within the United States. Proceedings of the Entomological Society of Philadelphia 2: 508 - 512.", "Johnson JW (1985) Th e immature stages of six California Catocala (Lepidoptera: Noctuidae). Journal of Research on the Lepidoptera 23: 303 - 327."]}
PES Web-based Tutorial Series: Introduction to Machine Learning, Session 2: Fundamental Algorithms on Concept Learning with Data Mining Applications (Slides)
Creators: Theodore Hlibka
Publisher: name: IEEE
Year: 2020

Session two presents Concept Learning and two popular Machine Learning algorithms, Decision Tree Learning and Rule Induction, along with applications to data mining.
Session two presents Concept Learning and two popular Machine Learning algorithms, Decision Tree Learning and Rule Induction, along with applications to data mining.
PES Web-based Tutorial Series: Introduction to Genetic Algorithms, Session 4: Structure, Theory, and Example Applications (Slides)
Creators: Theodore Hlibka
Publisher: name: IEEE
Year: 2020

Session four similarly focuses on Genetic Algorithms with applications to data mining and solving a prototypical problem applicable to production scheduling.
Session four similarly focuses on Genetic Algorithms with applications to data mining and solving a prototypical problem applicable to production scheduling.
PES Web-based Tutorial Series: Introduction to Artificial Neural Networks, Session 3: Structure, Theory, and Example Applications (Slides)
Creators: Theodore Hlibka
Publisher: name: IEEE
Year: 2020

Session three focuses on Artificial Neural Network structure, operations, and typical applications like concept learning, function estimation, and prediction.
Session three focuses on Artificial Neural Network structure, operations, and typical applications like concept learning, function estimation, and prediction.
Slides for Big Data Applications in Power Systems: Panel 2-Opportunities
Creators: Lalitha Sankar
Chen-Ching Liu
Le Xie
Gary Radcliffe
Clifton Black
Publisher: name: IEEE
Year: 2021

Panel 2 Slides: Advancing Energy Infrastructure Resilience using Data Analytics and Artificial Intelligence
Advancing Energy Infrastructure Resilience using Data Analytics and Artificial Intelligence
-Panel 2 : Opportunities
Slides for: IOTA TANGLE - A NEW DLT for IoT and Smart Cities
Creators: Gustavo Giannattasio
Publisher: name: IEEE
Year: 2021

Slides for Webinar: IOTA TANGLE - A NEW DLT for IoT and Smart Cities
The presentation includes the fundamentals of optimal DLT for Sensors and the comparison with Blockchain when used in Smart Cities applications.
The trilemma and scalability issue can be solved as well as no need for Miners, portability to firmware embedded consensus will be detailed as main benefits of IOTA for Smart Cities applications
The critical parameters of encoding, the vulnerability to Quantum computing will be analyzed
Internal structure of nodes and examples of applications to smart cities including Digital Twin solutions for cities, airports, train stations and others.
Root-Mean Square Model of Three-Phase Photovoltaic Inverter for Unbalanced Fault
Creators: Hayato Satoh
Koji Yamashita
Keisuke Shirasaki
and Yoshihiro Kitauchi
Publisher: name: IEEE
Year: 2020

Photovoltaic models that can precisely represent the unbalanced dynamic behavior following unbalanced faults are developed based on previously developed residential photovoltaic models.
The feed-in tariff, introduced in 2012, led to a significant increase in Photovoltaics (PVs) throughout Japan. About half of PVs are three-phase PVs that are connected to low voltage or medium voltage networks. Central Research Institute of Electric Power Industry (CRIEPI) has developed root-mean square-based time-domain power system analysis tools used by all the Japanese utilities for dynamic studies following balanced and unbalanced faults for over the last thirty years. Two 10 kW three-phase PV inverter were tested in the CRIEPI's test lab reproducing various levels of the voltage dips that come from three-phase balanced and unbalanced faults with various fault duration. The PV model was developed and validated, comparing measured responses obtained in the test lab with simulated responses obtained by the time-domain simulation tool. Sensitivities of identified parameters to the model error are carefully examined, which proves that the same model parameters may be used for balanced and unbalanced faults. Derived model parameters are further verified, comparing the simulated response of the combined two PV outputs with the measured response. The excellent match of those responses demonstrates that individually identified parameters for the two single PV inverters are also adequate for representing the combined PV dynamics.
Catocala johnsoniana Brower 1976
Creators: name: Hawks, David
Publisher: name: Zenodo
Year: 2010
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Lepidoptera
Noctuidae
Catocala
Catocala johnsoniana

description: Catocala johnsoniana Brower Fig. 18 Catocala johnsoniana Brower, 1976: 30 Type material. Catocala johnsoniana: holotype ♁ [USNM, examined]. Type locality: Kernville, Kern Co[unty], Calif[ornia, USA]. Diagnosis. Catocala johnsoniana is most similar to C. californiensis but the forewing has a distinct basal dash, the subreniform is always widely open, and the teeth of the postmedial line are longer. Also, the hindwing black inner band is relatively short and thick, while the postmedial yellow band is proportionately wider than in most specimens of all other species in the C. delilah complex. Distribution and biology. Catocala johnsoniana occurs mostly in the northern, eastern and southern foothills edging the Central Valley of California, mostly at slightly lower elevations than the other five species found in California. County records for USA are as follows. CALIFORNIA: Butte, Colusa, Kern, Lake, Los Angeles, Madera, Solano, Tuolumne, Yolo. Th e immature stages of C. johnsoniana have been described and the larva figured by Johnson (1985). Moths are always collected in areas dominated by Quercus douglasii Hook. & Arn., and this is probably the primary or only host plant. Adults have been collected from late May to early July.
description: Published as part of Hawks, David, 2010, Review of the Catocala delilah species complex (Lepidoptera, Erebidae), pp. 13-35 in ZooKeys 39 (39) on page 28, DOI: 10.3897/zookeys.39.439, http://zenodo.org/record/576631
description: {"references": ["Brower AE (1976) New Catocala of North America. Journal of The Lepidopterists' Society 30: 33 - 37.", "Johnson JW (1985) Th e immature stages of six California Catocala (Lepidoptera: Noctuidae). Journal of Research on the Lepidoptera 23: 303 - 327."]}
Energy Storage as a Service: Optimal Pricing for Transmission Congestion Relief
Creators: Juan Arteaga
Hamidreza Zareipour
and Nima Amjady
Publisher: name: IEEE
Year: 2020

This paper focuses on pricing Energy Storage as a Service for Transmission congestion relief.
This paper focuses on pricing Energy Storage as a Service (ESaaS) for Transmission congestion relief (TCR). We consider a merchant storage facility that competes in an electricity market to trade energy and ancillary services on a day-to-day basis. The facility also has the opportunity to provide a firm TCR service to a regional network operator under a long-term contract. Providing the additional TCR service would impose limitations on the facility's ability to fully harvest daily market trade opportunities. Thus, we model the opportunity costs associated with the TCR service and use it in a hybrid cost-value customized pricing technique to determine the risk-constrained optimal price of ESaaS for TCR. Given the long-term nature of the commitment to provide the TCR service, we use the Conditional Value at Risk (CVaR) metric to mitigate the long-term financial risks faced by the facility. The proposed pricing strategy enables the storage owner to estimate the additional financial gains and the associated risks that would likely result from adding the new service to its operation. Numerical simulations are provided to support the proposed methodology.
Slides for - Hybrid Digital and Analog Beamforming Design for Large-Scale Antenna Arrays
Creators: Dr. Foad Sohrabi
Publisher: name: IEEE
Year: 2020

Webinar Slides, December 18, 2020, Dr. Foad Sohrabi
The potentials of using millimeter-wave (mmWave) frequency for future wireless cellular communication systems have motivated the study of large-scale antenna arrays for achieving highly directional beamforming. However, the conventional fully digital beamforming methods, which require one radio frequency (RF) chain per antenna element, are not viable for large-scale antenna arrays due to the high cost and high power consumption of RF chain components in high frequencies.

To address this hardware limitation challenge, this webinar will introduce a hybrid digital-analog beamforming architecture in which the overall beamformer consists of a low-dimensional digital beamformer followed by an RF beamformer implemented using analog phase shifters. The aim is to show that such an architecture can approach the performance of a fully digital scheme with a much fewer number of RF chains. Specifically, the presenter established that if the number of RF chains is twice the total number of data streams, the hybrid beamforming structure can realize any fully digital beamformer exactly, regardless of the number of antenna elements. For cases with the fewer number of RF chains, he further consider the hybrid beamforming design problem for both the transmission scenario of a point-to-point multiple-input multiple-output (MIMO) system and a downlink multiuser multiple-input single-output (MU-MISO) system. For each scenario, he proposes a heuristic hybrid beamforming design that achieves a performance close to the performance of the fully digital beamforming baseline. The proposed algorithms are further modified for the more practical setting in which only finite resolution phase shifters are available. Numerical simulations show that the proposed schemes are effective even when phase shifters with very low resolution are used.
A Probabilistic Reverse Power Flows Scenario Analysis Framework
Creators: Antonin Demazy
Tansu Alpcan
and Iven Mareels
Publisher: name: IEEE
Year: 2020

This article proposes a framework that helps to predict the Reverse Power Flow intensity probability for any given scenario of Distributed Energy Resources penetration within the distribution network.
Distributed Energy Resources (DER), mainly residential solar PV, are embedded deep within the power distribution network and their adoption is fast increasing globally. As more customers participate, these power generation units cause Reverse Power Flow (RPF) at the edge of the grid, directed upstream into the network, thus violating one of the traditional design principles for power networks. The effects of a single residential solar PV system is negligible, but as the adoption by end-consumers increases to high percentages, the aggregated effect is no longer negligible and must be considered in the design and configuration of power networks. This article proposes a framework that helps to predict the RPF intensity probability for any given scenario of DER penetration within the distribution network. The considered scenario parameters are the number and location of each residential DERs, their capacity and the daily net-load profiles. Classical simulation-based approach for this is not scalable as it relies on solving the load-flow equations for each individual scenario. The framework leverages machine learning techniques to make fast and precise RPF prediction within the network for each scenario. The framework enables the Distribution Network Service Providers (DNSPs) to assess DERs penetration scenarios at a granular level, derive and localise the RPF risks and assess the respective impacts on the installed assets for network planning purpose. The framework is illustrated with scenario analysis conducted on an IEEE 123 bus system and OpenDSS and shown that it can lead to multiple orders of magnitude savings in computational time while retaining an accuracy of 94% or above compared to classical brute force simulations.