cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
title: Cahiers La Boétie. 2013, n° 3
title: Lectures politiques de La Boétie
titleType: Subtitle
Creators: name: (:Unap)
Publisher: name: Classiques Garnier
Year: 2013
Subjects: subject: Littérature de la Renaissance
subject: Philosophie politique du Moyen Âge et de la Renaissance
subject: Histoire de la Renaissance
subject: Histoire du droit
subject: Philosophie pratique contemporaine
subject: Liberté
subject: Servitude
subject: Domination
subject: Émancipation
subject: République

description: Contributeurs : Hourya Bentouhami, Michaël Boulet, Laurent Gerbier, Bernard Graciannette, Serge Margel, Emmanuel Renault et Jean Terrel.
ECTC 2020  Intel Best Student Session Paper
Creators: Jiefeng Xu
Chongyang Cai
Vanlai Pham
Ke Pan
Huayan Wang
Seungbae Park
Publisher: name: IEEE
Year: 2020

EPS ECTC Conference 2020
In this paper, we focus on the Electromigration (EM) with three different types of solder systems, homogeneous SAC305, homogeneous SnBi58 and SAC305-SnBi58 Partial mixed. The acceleration EM test was conducted with the sample top temperature at 100C at time 0 with different chamber temperature setting, -40C for SnBi58 and SAC305-SnBi58, -5C for SAC305. The current goes through the sample is 1.3A or 2.08 kA/cm 2 . The temperature and electrical resistance were monitored in-situ. The sample was taken out for failure analysis at 0h and 500h. A Finite Element Analysis (FEA) was conducted to understand the failure mechanism between these three types of solder systems. The results show that SnBi58 has the shortest lifetime than others. The microstructure evaluation of solder joints, such as IMC and Bi rich region, is different amount these solders. The FEA results Indicated that the current density in SnBi58 is lower than others and the temperature is only 3C higher than SAC305. The local temperature and current density are not a major cause for the shortest lifetime in SnBi58. SAC305 mixed with SnBi58 will help to improve the EM performance compared to homogeneous SnBi58.
ECTC 2020 Outstanding Session Paper
Creators: Jaber Derakhshandeh
Giovanni Capuz
Vladimir Cherman
Fumihiro Inoue
Inge De Preter
Lin Hou
Pieter Bex
Carine Gerets
Fabrice Duval
Tomas Webers
Julien Bertheau
Stefan Van Huylenbroeck
Alain Phommahaxay
Ehsan Shafahian
Geert Van der Plas
Eric Beyne
Andy Miller
and Gerald Beyer
Publisher: name: IEEE
Year: 2020

EPS ECTC Conference 2020
In this paper, spacer bumps concept is introduced to increase the process window for TCB, lower the sensitivity of electrical yield to bump height variation, maintain the gap between two dies and to prevent too much solder deformation for a test vehicle having multi-diameter bumps from 40um down to 5um pitches. Adding spacer bumps improves the electrical yield dramatically to close to 100% and ensures having good solder joint and IMC formation for both face to face N=2 and back to face N=4 stacks.
ECTC 2020 Oustanding Interactive Presentation Paper
Creators: Rafael Santos
Jean-Pol Delrue
Norbert Ambrosius
Roman Ostholt
Stephan Schmidt
Publisher: name: IEEE
Year: 2020

EPS ECTC Conference 2020
This work presents a new concept for using glass as a component material in FOWLP. Glass exhibits excellent properties for advanced packaging applications, such as low loss tangent, low dielectric constant, CTE values between that of Si and a typical EMC, and a favorable Young's modulus for reducing warpage. Despite the great interest in the properties of glass, its use is still not widespread as traditional glass processing techniques have a detrimental impact on its properties while increasing the effective material cost. Here, we show that by using Laser Induced Deep Etching technology for processing glass, substrates can be produced in an economical manner while retaining all of the its excellent properties. Furthermore, this technology enables the processing of precise cavities with flexible features completely made of glass, capable of passively correcting die position errors occurring during the pick-and-place and EMC-related processes. In addition, issues such as warpage are highly reduced while allowing the integration of other features such as Through Glass Vias and Integrated Passive Devices in the same wafer.
Design for Reliability in Power Electronic System Engineering-Slides
Creators: Frede Blaabjerg
Publisher: name: IEEE
Year: 2023

PELS Webinar Slides

Abstract: In recent years, the automotive and aerospace industries have brought stringent reliability constraints on power electronic converters because of safety requirements. Today power electronic products expect up to 20 years of lifetime in some cases even longer and they are expected to have a failure free period. The renewable energy sectors are following the same trend, and more and more efforts are being devoted to improving power electronic converters to account for reliability with cost-effective and sustainable solutions. This presentation will introduce the recent progress in the reliability aspect study of power electronic converters. It will cover: the motivations for highly reliable electric energy conversion in energy systems; reliability requirements and its implication on the power electronic converters; failure mechanisms and lifetime models of key power electronic components; system mission profiles; reliability analysis methods and tools, which can be used to design for reliability. A case of a solar park will be given at the end.
title: Cahiers La Boétie. 2012, n° 1
title: Amitié & Compagnie
titleType: Subtitle
Creators: name: (:Unap)
Publisher: name: Classiques Garnier
Year: 2012
Subjects: subject: Littérature
subject: Philosophie
subject: Droit
subject: Histoire
subject: Moyen Âge
subject: Renaissance
subject: Xénophon
subject: La Boétie
subject: Montaigne
subject: Le Caron
subject: Guerres de religion
subject: Amitié
subject: Compagnie
subject: Concorde
subject: Conflit
subject: Parrhesia
subject: Liberté
subject: Tyrannie
subject: Servitude

description: Le colloque de Sarlat dont ce livre est issu a pris pour angle de lecture du Discours de la servitude volontaire de La Boétie la question - essentielle au moment des guerres de religion - de l'amitié et de la compagnie (que l'on nommerait aujourd'hui plus volontiers le « lien social »). Lu par des spécialistes du droit, de la morale, de la philosophie ou de la littérature de la Renaissance et confronté aux productions du temps, le célèbre texte devient plus complexe et plus original encore.
description: Read by specialists in law, ethics, philosophy or literature of the Renaissance and compared to the productions of that time, the Discours de la servitude volontaire becomes yet more complex and original.
Mathematical Models for Current, Voltage, and Capacitively Coupled Voltage Transformers (TR117)
Creators: Michael Meisinger
Steve Turner
Amir Makki
Alejandro Avendano
Yue Chen
Ritwik Chowdhury
Normann Fischer
Robert Frye
Juan Gers
Ljubomir Kojovic
Yuan Liao
Federico Lopez
Peter McLaren
Sakis Meliopoulos
James Niemira
Dean Ouellette
Athula Rajapakse
Demetrios Tziouvaras
Jim van de Ligt
and Jack Wilson
Publisher: name: IEEE
Year: 2023

This report reviews and presents several mathematical models of instrument transformers, including those used to represent the nonlinear magnetic core of instrument transformers. The transient response of the instrument transformer is compared to test results recorded in the laboratory. The report provides practical guidelines as to which of the physical elements of instrument transformers are important to model during transient studies and which elements may be ignored without sacrificing the accuracy of the simulation results. The Electromagnetic Transients Program (EMTP) data files used to generate the models are also provided in an appendix to help new EMTP users model instrument transformers for evaluation of high-speed protective relaying systems.
This report reviews and presents several mathematical models of instrument transformers, including those used to represent the nonlinear magnetic core of instrument transformers. The transient response of the instrument transformer is compared to test results recorded in the laboratory. The report provides practical guidelines as to which of the physical elements of instrument transformers are important to model during transient studies and which elements may be ignored without sacrificing the accuracy of the simulation results. The Electromagnetic Transients Program (EMTP) data files used to generate the models are also provided in an appendix to help new EMTP users model instrument transformers for evaluation of high-speed protective relaying systems.
Solar Design and Installation Training – 101 (Slides)
Creators: Shuhui Li
Publisher: name: IEEE
Year: 2023

This webinar will provide fundamental knowledge and guideline on how to conduct solar photovoltaic system design and installation process. This tutorial starts with a brief introduction to electric power systems as well as the clean development of modern electric power systems. Then, the webinar turns to one of the fastest-growing clean energy sectors – Solar Photovoltaic (PV). The webinar aims to provide an easy understanding way, with minimum theoretical involvement, to establish with quick understanding and skills on how to design and install a solar PV system. The topics include solar panels, solar inverters, batteries for solar PV systems, racking of solar panels, PV system design guidelines, PV system installation guide, and testing and troubleshooting. A significant number of practical figures, drawings, videos, and presentation animations will be utilized in the webinar series to build fundamental skills that would speed up trainees to get into the solar industry.
This webinar will provide fundamental knowledge and guideline on how to conduct solar photovoltaic system design and installation process. This tutorial starts with a brief introduction to electric power systems as well as the clean development of modern electric power systems. Then, the webinar turns to one of the fastest-growing clean energy sectors – Solar Photovoltaic (PV). The webinar aims to provide an easy understanding way, with minimum theoretical involvement, to establish with quick understanding and skills on how to design and install a solar PV system. The topics include solar panels, solar inverters, batteries for solar PV systems, racking of solar panels, PV system design guidelines, PV system installation guide, and testing and troubleshooting. A significant number of practical figures, drawings, videos, and presentation animations will be utilized in the webinar series to build fundamental skills that would speed up trainees to get into the solar industry.
Slides for: Adversarial XAI methods in Cybersecurity
Creators: Dr. Nhien-An Le-Khac
Dr. Aditya Kuppa
Publisher: name: IEEE
Year: 2023

Slides for: SPS Webinar, September 27, 2023, Dr. Nhien-An Le-Khac, Dr. Aditya Kuppa
Machine learning methods are essential in addressing cybersecurity threats and explaining the decision process of black-box classifiers is critical to their successful adoption. Counterfactual explanations have emerged as a popular approach to understanding why black-box models make confident decisions and highlight alternative data instances that could change the outcomes. However, recent research in Explainable Artificial Intelligence (XAI) has focused on improving explain ability methods, attacks on interpreters, and defining properties of model explanations, overlooking the potential introduction of new attack surfaces through explanations. Adversaries can exploit explanations to launch attacks, compromising system privacy and integrity. Understanding these risks is crucial and developing strategies to mitigate threats is necessary to ensure the security of AI systems.

In this webinar, we will explore cybersecurity properties and threat models associated with counterfactual explanations. We will delve into new black-box attacks that exploit Explainable Artificial Intelligence (XAI) methods, compromising the confidentiality and privacy of underlying classifiers. Additionally, we will discuss the significance of these attacks within the context of Large Language Models.
Slides for: Cooperative Multi-Target Localization in Automotive Radar
Creators: Dr. Xudong Zhang
Dr. Fangzhou Wang
Dr. Hongbin Li
Publisher: name: IEEE
Year: 2023

Slides for: SPS Webinar, September 20, 2023, Dr. Xudong Zhang, Dr. Fangzhou Wang, Dr. Hongbin Li
We consider the problem of locating multiple targets using automotive radar by exploiting a pair of cooperative vehicles, which form a mono- and bi-static sensing system to provide spatial diversity for localization. In this webinar, we present an efficient two-step method that first determines initial target locations using delay and angle estimates from each individual system, and subsequently refines them via an association and fusion step. Specifically, we use a 2-dimensional (2-D) fast Fourier transform (FFT) based approach to obtain the initial target delay and angle estimates for each system, which are then sorted and paired via a minimum distance criterion. Finally, the initial location estimates are fused/weighted according to the target strength observed by each system. This cooperative approach yields improved performance over non-cooperative approaches using only the mono-static or bi-static sensing system. In addition to the two-step method, we will also discuss an alternative solution that exploits the fact that the received signals in both the mono- and bi-static systems are jointly sparse in the parameter (target location) space. This enables multitarget localization to be reformulated as a group sparse recovery problem.
Slides for: Redefining Radar Perception for Autonomous Driving: The Role of Sparse Array and Waveform Design in 4D Automotive Radar
Creators: Dr. Shunqiao Sun
Dr. Yimin D. Zhang
Publisher: name: IEEE
Year: 2023

Slides for: SPS Webinar, September 26, 2023, Dr. Shunqiao Sun, Dr. Yimin D. Zhang
Millimeter-wave automotive radar emerges as one of the key sensing modalities for autonomous driving, providing high-resolution sensing in four dimensions (4D), i.e., range, Doppler, and azimuth and elevation angles, yet remain a low cost for feasible mass production. In this talk, we will address the challenges in automotive radar for autonomous driving, examine how sparse signal processing can be utilized to optimize the performance of automotive radar systems, and outline future research directions. Our focus will be on the generation of high-resolution radar imaging using multi-input multi-output (MIMO) radar and frequency-modulated continuous-wave (FMCW) technology. We will examine the challenges of waveform orthogonality, radar mutual interference, and sparse antenna array design, and present our recent innovations in the field, including sparse step-frequency waveform, two-dimensional (2D) sparse arrays to enable drive-over and drive-under functionalities, and techniques to mitigate the high sidelobe of sparse array spectra via forward-backward Hankel matrix completion and sparse array design exploiting multi-frequency signals. The talk will highlight the importance of sparse signal processing in achieving high-resolution radar imaging with low mutual interference at low cost. Finally, we will discuss future research directions, including integrated sensing and communication.
Day 2: Non-Traditional Computing Paradigms with Emerging Technologies for Energy Efficiency Workshop Slides
Creators: Victor Moroz
Punyashloka Debashis
Hai Li
Naveen Verma
Nikhil Shukla
Publisher: name: IEEE
Year: 2023

Webinar Slides
Abstract: As the power reduction through device scaling slows, exploratory materials, devices, and circuits are being examined to open new paths for achieving energy-efficiency especially as the demand for information storage and processing grows exponentially. This new-found freedom of breaking out of ��CMOS scaling�� introduces many new opportunities to do things completely differently�use a different material, invent a new device that operates on a different physical mechanism, and explore a new circuit function for computing that capitalizes on the unique properties of the new devices. Research in this area is truly multidisciplinary as it brings together the researchers who are focused toward the exploration of a new device and interconnect, or function for a more energy-efficient integrated circuit for computing. Computation based on the emerging devices is not limited to just digital information processing but also encompasses non-Boolean computation, including analog, neuromorphic computing, and novel concepts in computer automata. This two-day virtual workshop brings together leading researchers in this field to present the latest advances and to discuss the challenges and opportunities that are ahead of us.
Unleashing Misalignment Tolerance Potential in Wireless Power System-Slides
Creators: Pengcheng Zhang & Changsong Cai
Publisher: name: IEEE
Year: 2023

PELS Webinar Slides

Abstract: In the realm of wireless power systems, ensuring robustness against misalignment between transmitter and receiver units stands as a critical challenge. Misalignment, arising from diverse factors, has the potential to disrupt optimal power transfer, thereby impeding the overall efficacy of this technology. The emergence of innovative technological breakthroughs and strategic power distribution approaches has emerged as instrumental in addressing the constraints posed by misalignment. This webinar explores the significance of bolstering misalignment tolerance capabilities within wireless power systems. We will highlight our efforts on the novel methods for integrated topology design, magnetic coupling control, providing new solutions and technical support for achieving high-performance misalignment-tolerant WPT system.
Transformative Role of End-to End Direct Current (DC) Power Networks for low Cost Electric Vehicle (EV) Charging -Slides
Creators: Rajendra Singh
Publisher: name: IEEE
Year: 2023

PELS Webinar Slides

Abstract: Other than climate emergency, continuous use of fossil fuel as energy source is also creating havoc on global economy of $100 trillion and world peace. Based on abundance, free fuel, minimum amount of greenhouse gases emissions, and minimum use of water in power generation, highest safety, access to all, and ultra-low cost, photovoltaics (PV) has the potential of generating sustainable, green and equitable electric power for all applications including electrification of transportation. In places where solar intensity is low (e.g. Scandinavian countries) wind energy can supplement solar energy. Due to advancements in technology and ultra-large-scale manufacturing, lithium-ion batteries are emerging as a cost-effective solution of electric power storage due to its constantly reducing cost. Free fuel solar generated green electric power combined with lithium ion batteries for storing electric power has the potential to electrify almost everything and transform the global energy sector. The cost of PV generated electricity has reached in sub $0.02/kWh range at utility scale and will play the same role in the field of energy as that played by CMOS in low-power electronics. A huge amount of green electrical power and capital is being wasted currently by using existing AC infrastructure for charging of EVs. . In this talk, I will show that local DC power networks can be implanted right away for EV charging and with the development of silicon carbide based bi-directional medium voltage to high voltage DC converters we can provide low-cost power to everyone for EV charging.
Additional file 1 of Integrating Single-cell RNA-seq to construct a Neutrophil prognostic model for predicting immune responses in non-small cell lung cancer
Creators: name: Pang, Jianyu
name: Yu, Qian
name: Chen, Yongzhi
name: Yuan, Hongjun
name: Sheng, Miaomiao
name: Tang, Wenru
Publisher: name: figshare
Year: 2022
Subjects: subject: Immunology
subject: FOS: Clinical medicine

description: Additional file 1: Figure S1. Research Workflow.
A bound on the nucleon Druck-term from chiral EFT in curved space-time and mechanical stability conditions
Creators: name: Gegelia, Jambul
name: Polyakov, Maxim V.
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: Using dispersive representations of the nucleon gravitational form factors, the results for their absorptive parts from chiral effective field theory in curved space-time, and the mechanical stability conditions, we obtain a model independent inequality for the value of the gravitational $D(t)$ form factor at zero momentum transfer (Druck-term). In particular, the obtained inequality leads to a conservative bound on the Druck-term in the chiral limit $D \leq -0.95(9)$. This bound implies the restriction on the low-energy constant $c_8$ of the effective chiral action for nucleons and pions in the presence of an external gravitational field, $c_8\leq -1.1(1)$ GeV$^{-1}$. For the physical pion mass we obtain a model independent bound $D\leq -0.20(2)$.
description: minor corrections, version accepted for publication
Detection of massive multi-particle beams by two-particle ionization
Creators: name: Sancho, Pedro
Publisher: name: arXiv
Year: 2007
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Multi-photon absorption is a well-known phenomenon. With atom lasers a similar process could take place for massive particles, the ionization of an atom or molecule by the successive interaction with various particles. This process would lead to multi-particle detection events for incident multi-particle beams. We show that two-particle detections would introduce a correction (proportional to the fourth power of the wavefunction modulus) to the usual one-particle detection probability (only proportional to the second power).
description: Accepted in PLA
D2.3 Final Report on Requirements and Trustworthiness
Creators: name: COREnext
Publisher: name: Zenodo
Year: 2025

description: This report provides the final outcome of WP2 and uses inputs from all tasks. This document highlights additional updates compared to previous WP2 deliverables (D2.1 and D2.2) to requirements, further analyses trustworthiness requirements for both digital and analog components, and the underlying lab validations to validate the architecture's robustness against emerging threats.
November - General Issue
Creators: Satish Saini; Mohammed Rameez Rizvi; Dillip Kumar Mishra; Jiangfeng Zhang; Geetika Aggarwal; Maher Al-Greer; Maria Jenisha Charles Thanasingh Packiaraj; Shamsul Aizam Zulkifli; Mubashir Hayat Khan
Publisher: name: IEEE
Year: 2023

Bulletin
This issue of Smart Grid bulletin features "US DOE INIATIVE ON GRID RESILIENCY & INNOVATION", "Empowering Tomorrow: The 4 Game-Changing Technologies Shaping the Power Industry", "Energy Storage Technology Breakthrough for Sustainable Energy", "Smart Grid and IoT for Sustainable Smart Cities: Potential, Applications and Future Research Directions", "Impact of circulating current suppression in parallel connected inverters resiliency for Microgrid"
Momentum distribution and correlation of two-nucleon relative motion in $^6$He and $^6$Li
Creators: name: Horiuchi, W.
name: Suzuki, Y.
Publisher: name: arXiv
Year: 2007
Subjects: subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: The momentum distribution of relative motion between two nucleons gives information on the correlation in nuclei. The momentum distribution is calculated for both $^{6}$He and $^6$Li which are described in a three-body model of $α$+$N$+$N$. The ground state solution for the three-body Hamiltonian is obtained accurately using correlated basis functions. The momentum distribution depends on the potential model for the $N$-$N$ interaction. With use of a realistic potential, the $^6$He momentum distribution exhibits a dip around 2 fm$^{-1}$ characteristic of $S$-wave motion. In contrast to this, the $^6$Li momentum distribution is very similar to that of the deuteron; no dip appears because it is filled with the $D$-wave component arising from the tensor force.
description: 14 pages, 9 figures
MagIC - Making Magnetics Disappear onto Silicon Microelectronics enables Power Supply on Chip (PwrSoC)-Slides
Creators: Cian O Mathuna
Publisher: name: IEEE
Year: 2023

PELS Webinar Slides

Abstract: With the advent of AI, a major technological challenge is the need to minimise the energy consumption of electronics computing and communication systems. This is also a major concern driving sustainability. I will introduce the role of high-efficiency, power converters in powering microprocessors in smart phones and portable computers. While the dc-dc converter can provide high efficiency energy transfer from a battery to the processor chip, a major roadblock to further energy saving is the bulky nature of the magnetics or the output inductors in these converters. I will introduce ground-breaking research at Tyndall/UCC which makes these bulky power magnetic components disappear onto the silicon chip, just like Gordon Moore did with the transistor over 50 years ago. I will explain how using Tyndall/UCC's MagIC technology can change the global approach to efficient system power management, known as Power Supply on Chip (PwrSoC) which can extend the charge time of batteries by a factor of 2 to 3. I will also introduce the journey taken to communicate the benefits of the technology to companies who have licensed the technology and developed global supply chains for its high volume production.
Double beta decay: experiments and theory review
Creators: name: Nucciotti, A.
Publisher: name: arXiv
Year: 2007
Subjects: subject: Nuclear Experiment (nucl-ex)
subject: FOS: Physical sciences

description: Neutrinoless double beta decay is one of the most powerful tools to set the neutrino mass absolute scale and establish whether the neutrino is a Majorana particle. After a summary of the neutrinoless double beta decay phenomenology, the present status of the experimental search for this rare decay is reported and the prospects for next generation experiments are reviewed.
description: Talk presented at Flavor Physics & CP Violation Conference, Bled, 2007; 7 pages
The Killing spinor equation with higher order potentials
Creators: name: Puhle, Christof
Publisher: name: arXiv
Year: 2007
Subjects: subject: Differential Geometry (math.DG)
subject: Mathematical Physics (math-ph)
subject: FOS: Mathematics
subject: FOS: Physical sciences
subject: 53C25; 81T30

description: Let (M^n,g) be a Riemannian spin manifold. The basic equations in supergravity models of type IIa string theory with 4-form flux involve a 3-form T, a 4-form F, a spinorial covariant derivative \nabla depending on \nabla^g, T, F, and a \nabla-parallel spinor field Ψ. We classify and construct many explicit families of solutions to this system of spinorial field equations by means of non-integrable special geometries. The latter include α-Sasakian structures in dimensions 5 and 7, almost Hermitian structures in dimension 6 and cocalibrated G_2-structures in dimension 7. We show that there are several examples also satisfying an additional constraint for the energy-momentum tensor.
description: 28 pages; revised, more concise
Zig Zag symmetry in AdS/CFT duality
Creators: name: Karanikas, A. I.
name: Ktorides, C. N.
Publisher: name: arXiv
Year: 2007
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: The validity of the Bianchi identity, which is intimately connected with the zig zag symmetry, is established, for piecewise continuous contours, in the context of Polakov's gauge field-string connection in the large 'tHooft coupling limit, according to which the chromoelectric `string' propagates in five dimensions with its ends attached on a Wilson loop in four dimensions. An explicit check in the wavy line approximation is presented.
description: 24 pages version to appear in EPJC
Power & Energy Magazine - Volume 21: Issue 6 - Nov./Dec. 2023:  Evs and the Grid Working Together
Creators: Magnus Korpås
Aurora F. Flataker
Hanne Sæle
Bendik Nybakk Torsæter
Karen Byskov Lindberg
Shanshan Jiang
Åse Lekang Sørensen
Audun Botterud
Kijun Park
Dongsik Jang
Sangok Kim
Youseok Lim
Jungho Lee
Steve Heinen
Andre Botha
Duncan Head
Rafferty Parker
Pieter Richards
Publisher: name: IEEE
Year: 2023

his issue provides readers with a comprehensive outlook on the global EV landscape, with articles from Norway, Korea, New Zealand, the United States, Scotland, and Costa Rica. What adds an interesting dimension to this issue is the diverse range of perspectives it encompasses. While all of the articles delve into the present state and prospects of EV integration in their respective countries, each then brings a unique focal point to the table, contributing to the diversity of issues sur-rounding EV adoption.
his issue provides readers with a comprehensive outlook on the global EV landscape, with articles from Norway, Korea, New Zealand, the United States, Scotland, and Costa Rica. What adds an interesting dimension to this issue is the diverse range of perspectives it encompasses. While all of the articles delve into the present state and prospects of EV integration in their respective countries, each then brings a unique focal point to the table, contributing to the diversity of issues sur-rounding EV adoption.
Slides for: Joint Optimization of Wireless and Computing: From Computation Offloading to Edge Learning in 6G
Creators: Mattia Merluzzi
Publisher: name: IEEE
Year: 2023

Slides for: SPS Webinar, October 25 2023, Dr. Mattia Merluzzi
The research on 6G has kicked-off all around the world, opening the floor for real paradigm shifts. While the question of what will 6G be is still completely open. It is unanimously agreed that Artificial Intelligence (AI) and Machine Learning (ML) will be native components of such networks. This comes with two facets: i) Learning to communicate, by which AI/ML tools are exploited for flexible and autonomous network optimization, and ii) Communicating to learn, by which 6G is exploited as an efficient AI platform. Focusing on the latter, this webinar aims at providing vision, challenges, and tools that will effectively and efficiently enable ML/AI at the edge of wireless networks, with target performance in terms of energy, delay, learning/inference reliability. Starting from the concept that edge learning and inference are computation offloading services supported by Multi-access Edge Computing, a journey through the joint optimization of radio and computing resources will be presented, with target performance in terms of energy and delay. Performance trade-offs will be discussed through theoretical and simulation-based findings. Building on the acquired vision and tools, the webinar will then focus on edge inference, which requires a third axis: inference reliability (e.g., accuracy and confidence).
Opportunities and Challenges for In- and Near-memory computing with RRAM Slides
Creators: Arijit Raychoundry
Publisher: name: IEEE
Year: 2023

Webinar Slides
Abstract: Machine learning (ML) with deep neural networks (DNNs) is a driving technology for innovation broadly across signal, image, and speech processing. For processors, application accelerators, and server computers executing any of a variety of modern data-intensive computing tasks, including machine learning inference, moving data from large memories into processing elements can be a limiting factor for energy efficiency and/or throughput (performance). The high cost of off-chip memory accesses has led to the extensive use of large, dense on-chip memories. These memories can store part (or all) of the data required by the application, such as the weights used to compute forward inference based on an input signal. The potentially large leakage energy and constrained density of on-chip volatile memory (typically static random-access memory, SRAM) has underscored the need for a new generation of embedded memory technologies including emerging logic-compatible embedded nonvolatile memories technologies (eNVMs) such as resistive random-access memory (RRAM) or phase-change memory (PCM); and on-die, back-end-of-line (BEOL) or near-die dynamic random-access memory (eDRAM/DRAM). The cost of accessing data stored in these large on-chip arrays has also motivated the re-emergence of the analog compute-in-memory (CIM) paradigm, where the stored states in multiple memory cells are selectively added together inside the memory array so that the read-out value represents a multiply-accumulate (MAC) operation result. This potentially allows improved access bandwidth and efficiency and/or reduced MAC computation area and energy. However, analog CIM confronts many challenges: systematic and random variation affecting the memory cell current, other non-idealities in the CIM operation including IR drop further hindering accuracy, and the need for expensive readout circuitry. This talk will discuss current progress to overcome these challenges toward improved current-summing CIM with foundry RRAM. This talk will also cover the advantages of RRAM beyond CIM, including implementations showing computing near-memory with RRAM with a focus on the reduced leakage and improved density offered by this technology.
title: The Fall of Gravity
title: Universal Framework of Active Absence
titleType: Subtitle
Creators: name: Cooper, Hamish
Publisher: name: Zenodo
Year: 2025
Subjects: subject: Physical sciences
subject: FOS: Physical sciences
subject: Theoretical physics
subject: Astronomy
subject: Astrophysics
subject: Physical cosmology

description: This paper introduces The Fall of Gravity, a unifying conceptual framework that reinterprets the accelerating expansion of the universe as a natural consequence of diminishing gravitational coherence, rather than the effect of exotic repulsive forces such as dark energy or dark matter. It presents a phenomenological model in which gravity is understood not as a permanent force but as a temporary structural lattice that weakens as matter disperses. As this gravitational cohesion fades, the universe returns to its intrinsic state of expansion—a dynamic interpreted as the emergence of active absence within the vacuum. The model proposes a modified acceleration equation that captures this transition and aligns with observed cosmic behavior. It also reframes the vacuum as a reactive, permissive medium consistent with quantum fluctuations. This work offers a foundational reinterpretation of the universe’s structure, behavior, and evolution without invoking hypothetical energy components.
Slides for: Edge Learning for B5G Networks With Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing
Creators: Zhaohui Yang
Publisher: name: IEEE
Year: 2023

Slides for: SPS Webinar, October 20, 2023, Dr. Zhaohui Yang
To process and transfer large amounts of data in emerging wireless services, it has become increasingly appealing to exploit distributed data communication and learning. Specifically, edge learning (EL) enables local model training on geographically disperse edge nodes and minimizes the need for frequent data exchange. However, the current design of separating EL deployment and communication optimization does not yet reap the promised benefits of distributed signal processing, and sometimes suffers from excessive signalling overhead, long processing delay, and unstable learning convergence. In this webinar, we provide an overview on practical distributed EL techniques and their interplay with advanced communication optimization designs. In particular, typical performance metrics for dual-functional learning and communication networks are discussed. Also, recent achievements of enabling techniques for the dual-functional design are surveyed with exemplifications from the mutual perspectives of “communications for learning” and “learning for communications.” For EL over wireless networks, the fundamental difference between digital and analog transmissions is presented. The applications of EL techniques within a variety of future communication systems are also envisioned for beyond 5G (B5G) wireless networks. For the application in goal-oriented semantic communication, we present a first mathematical model of the goal-oriented source entropy as an optimization problem. In addition, from the viewpoint of information theory, we identify fundamental open problems of characterizing rate regions for communication networks supporting distributed learning-and-computing tasks. We also present technical challenges as well as emerging application opportunities in this field including wireless big AI model, with the aim of inspiring future research and promoting widespread developments of EL in B5G.
Solar Design and Installation Training – 101-2 (Slides)
Creators: Shuhui Li
Publisher: name: IEEE
Year: 2023

This webinar will provide fundamental knowledge and guideline on how to conduct solar photovoltaic system design and installation process. This tutorial starts with a brief introduction to electric power systems as well as the clean development of modern electric power systems. Then, the webinar turns to one of the fastest-growing clean energy sectors – Solar Photovoltaic (PV). The webinar aims to provide an easy understanding way, with minimum theoretical involvement, to establish with quick understanding and skills on how to design and install a solar PV system. The topics include solar panels, solar inverters, batteries for solar PV systems, racking of solar panels, PV system design guidelines, PV system installation guide, and testing and troubleshooting. A significant number of practical figures, drawings, videos, and presentation animations will be utilized in the webinar series to build fundamental skills that would speed up trainees to get into the solar industry.
This webinar will provide fundamental knowledge and guideline on how to conduct solar photovoltaic system design and installation process. This tutorial starts with a brief introduction to electric power systems as well as the clean development of modern electric power systems. Then, the webinar turns to one of the fastest-growing clean energy sectors – Solar Photovoltaic (PV). The webinar aims to provide an easy understanding way, with minimum theoretical involvement, to establish with quick understanding and skills on how to design and install a solar PV system. The topics include solar panels, solar inverters, batteries for solar PV systems, racking of solar panels, PV system design guidelines, PV system installation guide, and testing and troubleshooting. A significant number of practical figures, drawings, videos, and presentation animations will be utilized in the webinar series to build fundamental skills that would speed up trainees to get into the solar industry.
HCOOH high resolution spectroscopy in the 9.18$μ$m region
Creators: name: Bielsa, Franck
name: Djerroud, Khelifa
name: Goncharov, Andrei
name: Douillet, Albane
name: Valenzuela, Tristan
name: Daussy, Christophe
name: Hilico, Laurent
name: Amy-Klein, Anne
Publisher: name: arXiv
Year: 2007
Subjects: subject: Atomic Physics (physics.atom-ph)
subject: FOS: Physical sciences

description: We report on higly accurate absolute frequency measurement against a femtosecond frequency comb of 6 saturated absorption lines of formic acid (HCOOH) with an accuracy of 1 kHz. We also report the frequency measurement of 17 other lines with an accuracy of 2 kHz. Those lines are in quasi coincidence with the 9R(36) to 9R(42) CO$_2$ laser emission lines and are probed either by a CO$_2$ or a widely tunable quantum cascade laser phase locked to a master CO$_2$ laser. The relative stability of two HCOOH stabilized lasers is characterized by a relative Allan deviation of 4.5 10$^{-12}$ $τ^{-1/2}$. They give suitable frequency references for H$_2^+$ Doppler free two-photon spectroscopy.
Design of Power Electronics Using Discrete Time Modeling -Slides
Creators: Daniel Costinett
Publisher: name: IEEE
Year: 2023

PELS Webinar Slides

Abstract: Discrete time modeling of power electronics has been widely applied for small signal modeling and control design without the necessity of an averaging approximation. These same techniques are useful for the large signal, steady-state modeling and design optimization of power electronics. The principal advantages of this approach are generality and limited approximation requirements that allow flexibility to rapidly model a wide variety of designs without dedicated analysis. This talk will review state space discrete time modeling of switching power converters with applications to steady-state modeling and design optimization, ongoing efforts and resources being developed at the University of Tennessee, as well as application examples.
Revista Power & Energy - Volumen 21: Número 6 - noviembre/diciembre de 2023: Los EV y la red eléctrica trabajan juntos
Creators: Magnus Korpås
Aurora F. Flataker
Hanne Sæle
Bendik Nybakk Torsæter
Karen Byskov Lindberg
Shanshan Jiang
Åse Lekang Sørensen
Audun Botterud
Kijun Park
Dongsik Jang
Sangok Kim
Youseok Lim
Jungho Lee
Steve Heinen
Andre Botha
Duncan Head
Rafferty Parker
Pieter Richards
Publisher: name: IEEE
Year: 2023

Esta edición ofrece a los lectores una visión completa del panorama mundial del EV, con artículos de Noruega, Corea, Nueva Zelanda, Estados Unidos, Escocia y Costa Rica. Lo que aporta una dimensión interesante a esta edición es la diver-sidad de perspectivas que recoge. Aunque todos los artículos profundizan en el estado actual y las perspectivas de integra-ción del EV en sus respectivos países, cada uno de ellos aporta un punto de vista único, que contribuye a la diversidad de cuestiones que rodean la adopción del EV.
Esta edición ofrece a los lectores una visión completa del panorama mundial del EV, con artículos de Noruega, Corea, Nueva Zelanda, Estados Unidos, Escocia y Costa Rica. Lo que aporta una dimensión interesante a esta edición es la diver-sidad de perspectivas que recoge. Aunque todos los artículos profundizan en el estado actual y las perspectivas de integra-ción del EV en sus respectivos países, cada uno de ellos aporta un punto de vista único, que contribuye a la diversidad de cuestiones que rodean la adopción del EV.
Introduction to SuperCascodes and Methods for Scaling to High Voltages-Slides
Creators: Douglas C. Hopkins
Publisher: name: IEEE
Year: 2023

PELS Webinar Slides

Abstract: SuperCascodes present an approach to serially connect lower voltage power semiconductors that self-trigger to create a higher voltage power switch. The triggering semiconductor in the string can be a normally-off switch and driven as a typical low voltage MOSFET or GaN HEMT and will trigger a serial string of normally-on devices. The webinar will provide a history to the evolution of the SuperCascode and highlight a new method of cascading modern SuperCascodes to provide even higher voltages. Details will be given on device selection and comparisons of JFETs, MOSFETS and GaN. Also presented are details and introduction to baseplate-less or segmented-baseplate packaging using dielectric fluid for isolation and cooling to minimize substrate switching currents. Thermal performance is provided through multiphysics simulations for a 24kV/105A Cascaded SuperCascode. Experimental results will show switching results for single SuperCascodes at 5kV/105A and 6.5kV/20A with 50-30ns dv/dt operation. The attendee will learn details of design for both electrical and physical implementation.
Entanglement and interference between different degrees of freedom of photons states
Creators: name: Sun, F. W.
name: Liu, B. H.
name: Huang, Y. F.
name: Zhang, Y. S.
name: Ou, Z. Y.
name: Guo, G. C.
Publisher: name: arXiv
Year: 2007
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: In this paper, photonic entanglement and interference are described and analyzed with the language of quantum information process. Correspondingly, a photon state involving several degrees of freedom is represented in a new expression based on the permutation symmetry of bosons. In this expression, each degree of freedom of a single photon is regarded as a qubit and operations on photons as qubit gates. The two-photon Hong-Ou-Mandel interference is well interpreted with it. Moreover, the analysis reveals the entanglement between different degrees of freedom in a four-photon state from parametric down conversion, even if there is no entanglement between them in the two-photon state. The entanglement will decrease the state purity and photon interference visibility in the experiments on a four-photon polarization state.
description: 11 pages and 2 figures
DCAP: Deep Cross Attentional Product Network for User Response Prediction
Creators: name: Chen, Zekai
name: Zhong, Fangtian
name: Chen, Zhumin
name: Zhang, Xiao
name: Pless, Robert
name: Cheng, Xiuzhen
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: Information Retrieval (cs.IR)
subject: Multimedia (cs.MM)
subject: FOS: Computer and information sciences

description: User response prediction, which aims to predict the probability that a user will provide a predefined positive response in a given context such as clicking on an ad or purchasing an item, is crucial to many industrial applications such as online advertising, recommender systems, and search ranking. However, due to the high dimensionality and super sparsity of the data collected in these tasks, handcrafting cross features is inevitably time expensive. Prior studies in predicting user response leveraged the feature interactions by enhancing feature vectors with products of features to model second-order or high-order cross features, either explicitly or implicitly. Nevertheless, these existing methods can be hindered by not learning sufficient cross features due to model architecture limitations or modeling all high-order feature interactions with equal weights. This work aims to fill this gap by proposing a novel architecture Deep Cross Attentional Product Network (DCAP), which keeps cross network's benefits in modeling high-order feature interactions explicitly at the vector-wise level. Beyond that, it can differentiate the importance of different cross features in each network layer inspired by the multi-head attention mechanism and Product Neural Network (PNN), allowing practitioners to perform a more in-depth analysis of user behaviors. Additionally, our proposed model can be easily implemented and train in parallel. We conduct comprehensive experiments on three real-world datasets. The results have robustly demonstrated that our proposed model DCAP achieves superior prediction performance compared with the state-of-the-art models. Public codes are available at https://github.com/zachstarkk/DCAP.
description: 10 pages, 7 figures, Accepted by CIKM'21