Tootfinder

Random opinion of the day: the best thing about season 2 of True Detective was the music by Lera Lynn.

student_cooperation: Student cooperation (2012)
Network of cooperation among students in the "Computer and Network Security" course at Ben-Gurion University, in 2012. Nodes are students, and edges denote cooperation between students while doing their homework. The graph contains three types of links: Time, Computer, Partners.
This network has 185 nodes and 360 edges.
Tags: Social, Offline, Multigraph, Unweighted

Heute sehe ich zum ersten Mal bei geizhals.de eine Radeon 9070 unterhalb der UVP. Wie lange hat das jetzt gebraucht? 6 Wochen? So ungefähr.
Die vermutlich etwas begehrtere 9070 XT ist noch oberhalb der UVP und wird es wohl noch eine Weile bleiben. Ich kann mir vorstellen, dass die 9070 ohne XT noch in den Bereich unter 600 Euro rutschen wird. Dann dürften die beiden Modelle ungefähr korrekt bepreist sein.

Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter
Ichiro Maruta, Toshiharu Sugie
https://arxiv.org/abs/2506.03650

Fast Sampling for System Identification: Overcoming Noise, Offsets, and Closed-Loop Challenges with State Variable Filter
This paper investigates the effects of setting the sampling frequency significantly higher than conventional guidelines in system identification. Although continuous-time identification methods resolve the numerical difficulties encountered in discrete-time approaches when employing fast sampling (e.g., the problems caused by all poles approaching unity), the potential benefits of using sampling frequencies that far exceed traditional rules like the "ten times the bandwidth" guideline remained …

student_cooperation: Student cooperation (2012)
Network of cooperation among students in the "Computer and Network Security" course at Ben-Gurion University, in 2012. Nodes are students, and edges denote cooperation between students while doing their homework. The graph contains three types of links: Time, Computer, Partners.
This network has 185 nodes and 360 edges.
Tags: Social, Offline, Multigraph, Unweighted

"Nestlé UK&I tests AI system to cut food waste at factories"
#Nestle #AI #ArtificialIntelligence

I wish Mastodon had a block with note and request unblock button. Some people I’m not mad at but were annoying and I want them to fix that before they interact further. I don’t need to send them the message but I do want them to be able to find it.

Zu Besuch bei meiner Mutter in Spandau. Wie so oft machen wir auch einen Spaziergang durch den Südpark. Ich mag den ja sehr. Die Schwäne haben dieses Jahr sechs Küken, eine Moorhenne war auch mit ihrem Nachwuchs unterwegs. Die zahlreichen Enten scheinen aber nichts von Brüten zu halten – keine Entenküken, weder bei den Stockenten, noch bei den Mandarinen.
Vor knapp 10 Jahren fiel mir das erste Mal auf, dass dort auch Schildkröten leben. Oft aber leider so 10 Meter oder mehr entfernt. H…

This https://arxiv.org/abs/2504.18791 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Nonconvex Linear System Identification with Minimal State Representation
Low-order linear System IDentification (SysID) addresses the challenge of estimating the parameters of a linear dynamical system from finite samples of observations and control inputs with minimal state representation. Traditional approaches often utilize Hankel-rank minimization, which relies on convex relaxations that can require numerous, costly singular value decompositions (SVDs) to optimize. In this work, we propose two nonconvex reformulations to tackle low-order SysID (i) Burer-Monterio…

This https://arxiv.org/abs/2504.09642 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

HBS -- Hardware Build System: A Tcl-based, minimal common abstraction approach for build system for hardware designs
Build systems become an indispensable part of the software implementation and deployment process. New programming languages are released with the build system integrated into the language tools, for example, Go, Rust, or Zig. However, in the hardware description domain, no official build systems have been released with the predominant Hardware Description Languages (HDL) such as VHDL or SystemVerilog. Moreover, hardware design projects are often multilanguage. The paper proposes a new build s…

https://bsky.app/profile/bluetravelchannel.bsky.social/post/3lqkwiedbds2r
and
https://www.youtube.com/watch?v=X6TXYue1ezs
go remarkably well together

On Loss-Minimal Radial Topologies in MV Systems
Anton Hinneck, Mathias Duckheim, Michael Metzger, Stefan Niessen
https://arxiv.org/abs/2506.03422 https://

On Loss-Minimal Radial Topologies in MV Systems
Distribution system reconfiguration (DSR) means optimizing the topology of a distribution grid using switching actions. Switching actions are a degrees of freedom available to distribution system operators, e.g. to manage planned and unplanned outages. DSR is a NP-hard combinatorial problem. Finding good or even optimal solutions is computationally expensive. While transmission and high-voltage grids are generally operated in a meshed state, MV distribution systems are commonly operated as radi…

Let this be a lesson: my point about editing above goes deep. It's not just about writing words and editing words.
It's about decisions of any kind.
While deliberative paralysis is a thing, when you make "do" easier than "deliberate" (and increasingly tip the balance toward "do"), what happens is what's easy, not what's good. It is an accelerator for all kinds of things, a great many of them bad, and even more suboptimal.

There is around a 25 year window to pinpoint this proposed new dwarf planet, because its orbit takes 25000 years to complete… which probably means that the rate at which new ones will be discovered by the @… will help us better define how empty or how full the space between Neptune and the Kuiper Belt is…

An Extreme Cousin for Pluto? Possible Dwarf Planet Discovered at Solar System’s Edge
A small team led by Sihao Cheng, Martin A. and Helen Chooljian Member in the Institute for Advanced Study’s School of Natural Sciences, has discovered an extraordinary trans-Neptunian object (TNO), named 2017 OF201, at the edge of our solar system.

This https://arxiv.org/abs/2506.01755 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Data-assimilated model-informed reinforcement learning
The control of spatio-temporally chaos is challenging because of high dimensionality and unpredictability. Model-free reinforcement learning (RL) discovers optimal control policies by interacting with the system, typically requiring observations of the full physical state.In practice, sensors often provide only partial and noisy measurements (observations) of the system. The objective of this paper is to develop a framework that enables the control of chaotic systems with partial and noisy obse…

On top of all of this there's a meta-effect: a certain class of their best engineers want no part of this and have left. The people with the peak insight that simplify things and unify products into cohesive, useful systems are leaving.

I'm absolutely certain they are reaping massive developer efficiencies with Copilot.
I do not believe they are building value with it.

Stupidly, today I decided to play around with the DuckDuckGo ai (duck.ai) to see if I could get it to write the code for me to change the resolution of a dataset to the native model resolution.
I *knew* that LLM were bad at math. But I didn’t realize HOW bad.
I asked it to change a 0.25 by 0.25 georeferenced global array to 1 by 1.25 degrees.
Maybe I was naïve in thinking it would ‘know’ that there are 180 degrees of latitude and 360 degrees on longitude.
But I had to do 5 prompts to get that piece corrected. Admittedly, I did not correct it directly— I corrected it as I would a student by prompting that there was an error in a particular line. (And yes- I realize it isn’t human and this is the wrong approach.)
I think I’m done with AI for now. I would have failed a student taking a class with me who didn’t have this most basic of knowledge down the first 5 minutes of class.
I keep thinking that LLM are sewing machines. They do a lot of good in the hands of someone who knows how to make them work, but they are only marginally better than hand-stitching when given to someone like me.
Is there a LLM that can write code in FORTRAN?

I'm asserting now that Github has crossed the event horizon into Enterprise Software. Complex enough that any bug is your fault for not reading the right docs and flipping the right configuration flags. The experience will keep getting worse. People will use it because they have to not because they want to. It will become the MS Teams of scm-devops-hosting-stuff.

This https://arxiv.org/abs/2205.00368 has been replaced.
link: https://scholar.google.com/scholar?q=a

Direct closed-loop identification of continuous-time systems using fixed-pole observer model
This paper provides a method for obtaining a continuous-time model of a target system in closed-loop from input-output data alone, in the case where no knowledge of the controllers nor excitation signals is available and I/O data may suffer from unknown offsets. The proposed method is based on a fixed-pole observer model, which is a reasonable continuous-time version corresponding to the innovation model in discrete-time and allows the identification of unstable target systems. Furthermore, it …

Watch Github for what happens for companies that go all-in on AI.
Notice all the details that are wrong now. Notice the docs. Notice the confusion between different interfaces. Notice the UI jank in new places. This is what happens when engineering decisions are made by default instead of discussion and planning. This is what happens when writing (already easier than editing) becomes even easier without improving editing.

Quantized Dissipative Uncertain Model for Fractional T_S Fuzzy systems with Time_Varying Delays Under Networked Control System
Muhammad Shamrooz Aslam, Hazrat Bilal, Sumeera Shamrooz
https://arxiv.org/abs/2506.02788

Quantized Dissipative Uncertain Model for Fractional T_S Fuzzy systems with Time_Varying Delays Under Networked Control System
This paper addressed with the quantized dissipative uncertain problem for delayed fractional T_S Fuzzy system for event_triggered networked systems (E_NS), where the extended dissipativity analysis combines the H infinity, dissipativity, L2 and L infinity and passivity performance in a unified frame. To attain the high efficiency for available channel resources, measurement size decrease mechanism and event_triggered scheme (ETS) are proposed. Firstly, we present the ETS in which signal is tran…

Pride parade and JAWS anniversary at the same time? Transphobic. Blahaj has too many commitments :(

Test Drive Unlimited: a quieter Horizon Festival
I found TDU in a box in the loft a couple of weeks ago, and since I now have a new Xbox 360 set up (replacing my old one which didn't have HDMI output) so can play games which are not compatible with the Xbox One, I thought I'd revisit the game. Unfortunately my save wasn't in the cloud, and wasn't transferred while I had both consoles set up, so I needed to start from the beginning.

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Why are we creating p-zombies from the popular book “p-zombies are bad but mostly in the qualia”?

Optimal Co-Design of a Hybrid Energy Storage System for Truck Charging
Juan Pablo Bertucci, Sudarshan Raghuraman, Mauro Salazar, Theo Hofman
https://arxiv.org/abs/2506.01426

Optimal Co-Design of a Hybrid Energy Storage System for Truck Charging
The major challenges to battery electric truck adoption are their high cost and grid congestion.In this context, stationary energy storage systems can help mitigate both issues. Since their design and operation are strongly coupled, to make the best out of them, they should be jointly optimized. This paper presents a co-design framework for hybrid energy storage systems where their technology and sizing are optimized jointly with their operational strategies. Specifically, we consider a microgr…

On dual-rate consensus under transmission delays
David Umsonst, Mina Ferizbegovic
https://arxiv.org/abs/2506.02840 https://arxiv.org/…

On dual-rate consensus under transmission delays
In this paper, we investigate the problem of dual-rate consensus under transmission delays, where the control updates happen at a faster rate than the measurements being received. We assume that the measurements are delayed by a fixed delay and show that for all delays and rates, the system reaches a consensus if and only if the communication graph of the agents is connected and the control gain is chosen in a specific interval. Based on these results we dive deeper into the convergence propert…

"The UK wildfire warning system as climate change drives hot temperatures"
#UK #UnitedKingdom #Climate #ClimateChange

The UK wildfire warning system as climate change drives hot temperatures
As climate change continues climate's like the UK's have begun to change with wildfires starting to increase due to the drier weather

Backpressure-based Mean-field Type Game for Scheduling in Multi-Hop Wireless Sensor Networks
Salah Eddine Choutri, Boualem Djehiche, Prajwal Chauhan, Saif Eddin Jabari
https://arxiv.org/abs/2506.03059

Backpressure-based Mean-field Type Game for Scheduling in Multi-Hop Wireless Sensor Networks
We propose a Mean-Field Type Game (MFTG) framework for effective scheduling in multi-hop wireless sensor networks (WSNs) using backpressure as a performance criterion. Traditional backpressure algorithms leverage queue differentials to regulate data flow and maintain network stability. In this work, we extend the backpressure framework by incorporating a mean-field term into the cost functional, capturing the global behavior of the system alongside local dynamics. The resulting model utilizes t…

Data-assimilated model-informed reinforcement learning
Defne E. Ozan, Andrea N\'ovoa, Georgios Rigas, Luca Magri
https://arxiv.org/abs/2506.01755 https…

Data-assimilated model-informed reinforcement learning
The control of spatio-temporally chaos is challenging because of high dimensionality and unpredictability. Model-free reinforcement learning (RL) discovers optimal control policies by interacting with the system, typically requiring observations of the full physical state.In practice, sensors often provide only partial and noisy measurements (observations) of the system. The objective of this paper is to develop a framework that enables the control of chaotic systems with partial and noisy obse…

18F announces a legal challenge to the dismantlement of the department by DOGE
https://18f.org/announcement-of-legal-challenge/

Integrated design of system structure and delayed resonator towards efficient non-collocated vibration absorption
Adam Peichl, Mat\v{e}j Ku\v{r}e, Wim Michiels, Tom\'a\v{s} Vyhl\'idal
https://arxiv.org/abs/2505.23608

Integrated design of system structure and delayed resonator towards efficient non-collocated vibration absorption
The problem of non-collocated vibration absorption by a delayed resonator is addressed with emphasis on system fatigue resistance and energy efficiency of control actions. The analysis is performed for a system consisting of an arbitrary large series of flexibly linked single-degree-of-freedom masses. For the stage where the vibration of the target mass is fully absorbed by the non-collocated resonator, key forces, motion amplitudes and potential energies across the system structure are assesse…

Y'know what's worst about this? I'm not even sure which billionaire to feature.

I should make t-shirts that say "I'm being attacked by a billionaire and all I got was this lousy t-shirt"

This https://arxiv.org/abs/2412.16761 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Non-asymptotic Error Analysis of Subspace Identification for Deterministic Systems
The subspace identification method (SIM) has been extensively employed in the identification of discrete-time multiple-input multiple-output (MIMO) linear time-invariant (LTI) systems. This paper focuses on the analysis of perturbation errors for the system matrices in state-space models and the corresponding system poles, under two unified SIMs, based on a single finite-length input/output sample trajectory. Specifically, we derive non-asymptotic upper bounds on these errors, providing a unifi…

Deception in Oligopoly Games via Adaptive Nash Seeking Systems
Michael Tang, Miroslav Krstic, Jorge Poveda
https://arxiv.org/abs/2505.24112 https://…

Deception in Oligopoly Games via Adaptive Nash Seeking Systems
In the theory of multi-agent systems, deception refers to the strategic manipulation of information to influence the behavior of other agents, ultimately altering the long-term dynamics of the entire system. Recently, this concept has been examined in the context of model-free Nash equilibrium seeking (NES) algorithms for noncooperative games. Specifically, it was demonstrated that players can exploit knowledge of other players' exploration signals to drive the system toward a ``deceptive" Nash…

"establish a baseline rhythm" I said. "It's easy I said."
browsers: <fieldset>
<ruby>
<select multiple>

Prediction of the Conditional Probability Densities of Time Interval Extrema for Risk-Sensitive Scheduling
Buyi Yu, Wenyuan Tang
https://arxiv.org/abs/2506.01358

Prediction of the Conditional Probability Densities of Time Interval Extrema for Risk-Sensitive Scheduling
Planning and scheduling activities in the electrical power system, such as the commitment of reserve generation, often involve statistical characterization of peak demand. Extreme Value Analysis (EVA)-based probabilistic assessments of annual peaks are widely adopted by energy regulatory and oversight agencies to determine the likelihood and severity of potential energy shortfalls. Due to the inability of classical EVA to account for peak distributions that change with annual extreme temperatur…

Equivalence of Left- and Right-Invariant Extended Kalman Filters on Matrix Lie Groups
Finn G. Maurer, Erlend A. Basso, Henrik M. Schmidt-Didlaukies, Torleiv H. Bryne
https://arxiv.org/abs/2506.01514

Equivalence of Left- and Right-Invariant Extended Kalman Filters on Matrix Lie Groups
This paper derives the extended Kalman filter (EKF) for continuous-time systems on matrix Lie groups observed through discrete-time measurements. By modeling the system noise on the Lie algebra and adopting a Stratonovich interpretation for the stochastic differential equation (SDE), we ensure that solutions remain on the manifold. The derivation of the filter follows classical EKF principles, naturally integrating a necessary full-order covariance reset post-measurement update. A key contribut…

Generalized Super-Twisting Observer for a class of interconnected nonlinear systems with uncertainties
Rania Tafat, Jaime A. Moreno, Stefan Streif
https://arxiv.org/abs/2506.01754

Generalized Super-Twisting Observer for a class of interconnected nonlinear systems with uncertainties
The Generalized Super-Twisting Observer (GSTO) is extended for a strongly observable class of nonlinearly interconnected systems with bounded uncertainties/perturbations. A nonsmooth strong Lyapunov function is used to prove the finite-time convergence of the proposed observer to the true system's trajectories, in the presence of the uncertainties. A case study on the interaction between two food production systems is presented, comparing the proposed observer with the High Gain observer. The r…

Sensor Fusion Methods for Gaussian Mixture Models
Ishan Paranjape, Islam Hussein, Jeremy Murray-Krezan, Sean Phillips, Suman Chakravorty
https://arxiv.org/abs/2506.00383

Sensor Fusion Methods for Gaussian Mixture Models
Consensus is a popular technique for distributed state estimation. This formulation allows networks of connected agents or sensors to exchange information about the distribution of a set of targets with their immediate neighbors without the need of a centralized node or layer. We present decentralized consensus-based fusion techniques for a system whose target prior estimates are a weighted mixture of Gaussian probability density functions (PDFs) for the following cases: 1) in which all agents …

Optimizing Connectivity and Scheduling of Near/Far Field Users in Massive MIMO NOMA System
Ziad Qais Al-Abbasi
https://arxiv.org/abs/2505.23259 https://

Optimizing Connectivity and Scheduling of Near/Far Field Users in Massive MIMO NOMA System
It is envisioned that the next generations of wireless communication environment will be characterized with dense traffic demand due to the prediction that there will be large numbers of active users. Hence, it is important to find a solution to deal with such dense numbers of users. This paper investigates optimizing the connectivity and users scheduling to improve the performance of near and far field users in a downlink, multiuser, massive MIMO-NOMA system. For the considered system model, c…

Save your disrespect for the unrespectable. It's all too easy to let contempt for those in power spread to all like them in any way.

A Vertical Approach to Designing and Managing Sustainable Heterogeneous Edge Data Centers
Aikaterini Maria Panteleaki, Varatheepan Paramanayakam, Vasileios Pentsos, Andreas Karatzas, Spyros Tragoudas, Iraklis Anagnostopoulos
https://arxiv.org/abs/2506.01712

A Vertical Approach to Designing and Managing Sustainable Heterogeneous Edge Data Centers
The increasing demand for Artificial Intelligence (AI) computing poses significant environmental challenges, with both operational and embodied carbon emissions becoming major contributors. This paper presents a carbon-aware holistic methodology for designing and managing sustainable Edge Data Centers (EDCs), based on three design principles that challenge the state-of-the-art optimization paradigms. Our approach employs vertical integration across the architecture, system, and runtime layers, …

Culinarily and insult-wise both, there's no clear distinction between a fruit and a vegetable.


Learning-Based Robust Fixed-Time Terminal Sliding Mode Control
Chaimae El Mortajinea, Moussa Labbadib, Adnane Saoudc, Mostafa Bouzia
https://arxiv.org/abs/2505.22827

Learning-Based Robust Fixed-Time Terminal Sliding Mode Control
In this paper, we develop and analyze an integral fixed-time sliding mode control method for a scenario in which the system model is only partially known, utilizing Gaussian processes. We present two theorems on fixed-time convergence. The first theorem addresses the fully known system model, while the second considers situations where the system's drift is approximated utilizing Gaussian processes (GP) for approximating unknown dynamics. Both theorems establish the global fixed-time stability …

Input-Power-to-State Stability of Time-Varying Systems
Hernan Haimovich, Shenyu Liu, Antonio Russo, Jose L. Mancilla-Aguilar
https://arxiv.org/abs/2505.24805

Input-Power-to-State Stability of Time-Varying Systems
When the state of a system may remain bounded even if both the input amplitude and energy are unbounded, then the state bounds given by the standard input-to-state stability (ISS) and integral-ISS (iISS) properties may provide no useful information. This paper considers an ISS-related concept suitable in such a case: input-power-to-state stability (IPSS). Necessary and sufficient conditions for IPSS are developed for time-varying systems under very mild assumptions on the dynamics. More precise…

web nerdery
Functional indexes would make IndexedDB useful in some really neat new ways.
Most of all: encrypted data, with a choice about what's exposed as indexes.

2D PZT MEMS Resonant Scanner Using a Three-Mask Process
Mehrdad Khodapanahandeh, Parviz Zolfaghari, Hakan Urey
https://arxiv.org/abs/2505.24566 https://

2D PZT MEMS Resonant Scanner Using a Three-Mask Process
This work presents the design, simulation, fabrication, and characterization of a novel architectural compact two-dimensional (2D) resonant MEMS scanning mirror actuated by thin-film lead zirconate titanate (PZT). The device employs an innovative mechanically coupled dual-axis architecture fabricated using a three-mask process on an SOI-PZT deposited wafer, significantly reducing system complexity while achieving high performance. The scanner integrates a 1 $\times$ 1.4 mm oval mirror within a …

Damping LFOs: Grid Following with Power Oscillation Damping vs. Grid Forming vs. PSS
Tamojit Chakraborty, Anamitra Pal, Sam Maleki
https://arxiv.org/abs/2505.24204

Damping LFOs: Grid Following with Power Oscillation Damping vs. Grid Forming vs. PSS
Low-frequency oscillations (LFOs) present a significant challenge to the stability and reliability of power systems, especially in grids with a high penetration of renewable energy sources. Traditional grid-following (GFL) inverters have proven less effective in damping such oscillations. This paper presents a GFL-power plant controller with an auxiliary power oscillation damping control for damping LFOs. This approach is compared with a traditional power system stabilizer (PSS) for a two-area …

System Identification for Virtual Sensor-Based Model Predictive Control: Application to a 2-DoF Direct-Drive Robotic Arm
Kosei Tsuji, Ichiro Maruta, Kenji Fujimoto, Tomoyuki Maeda, Yoshihisa Tamase, Tsukasa Shinohara
https://arxiv.org/abs/2505.23138

System Identification for Virtual Sensor-Based Model Predictive Control: Application to a 2-DoF Direct-Drive Robotic Arm
Nonlinear Model Predictive Control (NMPC) offers a powerful approach for controlling complex nonlinear systems, yet faces two key challenges. First, accurately modeling nonlinear dynamics remains difficult. Second, variables directly related to control objectives often cannot be directly measured during operation. Although high-cost sensors can acquire these variables during model development, their use in practical deployment is typically infeasible. To overcome these limitations, we propose a…

I am once again reminded that I am the sort of person who takes photos of manhole covers.

Robust Aperiodic Sampled-Data Washout Control for Uncertain Affine Systems
Folco Giorgetti, Francesco Crocetti, Mario Luca Fravolini, Francesco Ferrante
https://arxiv.org/abs/2505.23534

Robust Aperiodic Sampled-Data Washout Control for Uncertain Affine Systems
In this paper, we address the problem of designing an aperiodic sampled-data controller stabilizing the zero-input equilibrium of an uncertain affine plant. The closed-loop system is modeled as a hybrid dynamical system incorporating a timer triggering the occurrence of the sampling events and two memory states storing the value of the controller state and controller output at each sampling time. Necessary and sufficient conditions on the controller parameters are given to establish the sought …

https://ohai.social/@jascha/114456719610997573 This thread! This is the Internet I put time into helping create.

Turns out that if you model online spaces after real world ones, it works pretty well. Online spaces let you be in many places at once which changes the dynamics, but as an example of something that ports well,
https://www.patternlanguageindex.com/patterns/intimacy-gradient
This pattern works not just for the design of houses but online spaces. Let people get to know a group in less-intimate space before they end up in the more-intimate space. Having a few gradations works really well, and it doesn't have to be a power play or status game.

Periodic reminder that the literal text of laws are actually full of phrases that have specific legal meanings settled by case law, and in absence of overriding legislation, you need a lawyer or a lot of legal experience to unpack what is actually being said. Sometimes this makes things better than expected, sometimes not.
Lawyers have jobs for a reason and it's not just being bloodsucking leeches.

This https://arxiv.org/abs/2411.06268 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Constraints and Variables Reduction for Optimal Power Flow Using Hierarchical Graph Neural Networks with Virtual Node-Splitting
Power system networks are often modeled as homogeneous graphs, which limits the ability of graph neural network (GNN) to capture individual generator features at the same nodes. By introducing the proposed virtual node-splitting strategy, generator-level attributes like costs, limits, and ramp rates can be fully captured by GNN models, improving GNN's learning capacity and prediction accuracy. Optimal power flow (OPF) problem is used for real-time grid operations. Limited timeframe motivates st…

One way I see LLMs harming workers is workers being assigned impossible tasks on the assumption that "AI can do it" then holding them to account when it can't. Human takes the fall, AI takes the win.

Evaluation of Voltage Unbalance Metrics in Distribution Networks with High DER Penetration
Alireza Zabihi, Luis Badesa, Araceli Hernandez
https://arxiv.org/abs/2505.23435

Evaluation of Voltage Unbalance Metrics in Distribution Networks with High DER Penetration
Voltage unbalance, caused by variations in voltage magnitude and phase angle, is a significant power quality issue in three-phase systems, leading to equipment inefficiencies and increased system losses. The integration of distributed energy resources (DER) into the grid adds complexity, as DER can either reduce or worsen voltage unbalance, depending on factors such as grid configuration and the distribution of loads and DER themselves. This study explores the effects of DER penetration on volt…

Using Figma Sites will get you sued. Just so you know.

Local Stability and Region of Attraction Analysis for Neural Network Feedback Systems under Positivity Constraints
Hamidreza Montazeri Hedesh, Moh Kamalul Wafi, Milad Siami
https://arxiv.org/abs/2505.22889

Local Stability and Region of Attraction Analysis for Neural Network Feedback Systems under Positivity Constraints
We study the local stability of nonlinear systems in the Lur'e form with static nonlinear feedback realized by feedforward neural networks (FFNNs). By leveraging positivity system constraints, we employ a localized variant of the Aizerman conjecture, which provides sufficient conditions for exponential stability of trajectories confined to a compact set. Using this foundation, we develop two distinct methods for estimating the Region of Attraction (ROA): (i) a less conservative Lyapunov-based a…