Tootfinder

I mean, nothing yet beats the Brazilian Institute of Oriental Studies bit the trend is there and it fits
https://velvetshark.com/ai-company-logos-that-look-like-buttholes

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

Over five years now I'm programming on the JVM. Started out with #Java, moved to #Kotlin as my daily driver, dipped my toes into #Scala and once in a while enjoy experimenting with

"Radfahrer bei Fußgängerverkehr bitte absteigen" in #Passau.
Und natürlich stehen auch auf dem #Donauradweg von dort nach Linz auch ein paar Schilder, die "Radfahrer absteigen" fordern.

I’m not your go-to for deep economic theory. I'm just your regular Fediverse baby anarchist, who has a huge crush on Rudolf Rocker's syndicalist takes!
But what I do know is that I don’t need bosses or rulers telling me how to live my life. We’re all capable of working together, making decisions as equals, and building something better without anyone lording over us.
I believe in solidarity and collective action. We deserve workplaces and communities where everyone has a …

A Compositional Approach to Diagnosing Faults in Cyber-Physical Systems
Josefine B. Graebener, Inigo Incer, Richard M. Murray
https://arxiv.org/abs/2507.05438

A Compositional Approach to Diagnosing Faults in Cyber-Physical Systems
Identifying the cause of a system-level failure in a cyber-physical system (CPS) can be like tracing a needle in a haystack. This paper approaches the problem by assuming that the CPS has been designed compositionally and that each component in the system is associated with an assume-guarantee contract. We exploit recent advances in contract-based design that show how to compute the contract for the entire system using the component-level contracts. When presented with a system-level failure, o…

K1 stellt einen Fuß auf die Sonnenliege und ruft "Ich bin Captain Früh!"...
Gemeint war Captain Morgan

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

Chatbots snappen het bijnaaaaa.... 😅

Shot on #postmarketOS <3
Let's be honest: They are kinda shitty, but I dig the mood.
Thanks to everyone who made the OnePlus 6 camera driver happen.
#Linux #MobileLinux

Har jeg egentlig fortalt om den nye "**Musikforening Ved Kirsten Kjærs Museum- Langvadkoncerter i John's Hall**"?
Den skal fŸre den stolte tradition af Langvadkoncerter videre, som John Anderson og Harald Fuglsang grundlagde i deres tid.
Her er programmet for August måned.
Læg endelig vejen forbi hvis du skulle være i nærheden!
#boostwelcome

This isn't not about AI.
(but AI hype cuts both ways on this. Sometimes it's by people who Just Want To Focus On Business. Sometimes it's New Shiny Toy That Helps Make More Code)

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

"Climate-fuelled El Niño events are devastating butterflies, beetles and other tropical insect"
#Insects #Butterflies #Climate

Climate-fuelled El Niño events are devastating butterflies, beetles and other tropical insects
The research suggests the life-support system underpinning the tropics is at serious risk in a warmer world.

cruxrgxx – FLESH DOLL
#byncnd

Chesterton's labor union

Fliegen am Limit: Metas neuer 3D-360-Grad-Film lässt Extrem-Flugsport erleben
Der VR-Film "Touching the Sky VR" zeigt spektakuläre Wingsuit- und Paragliding-Flüge. Mindestens ebenso extrem wie die Flugmanöver waren die Drehbedingungen.

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/2403.14322 has been replaced.
initial toot: https://mastoxiv.page/@a…

Ab-initio Van der Waals electrodynamics: polaritons and electron scattering from plasmons and phonons in BN-capped graphene
Plasmons and polar phonons are elementary electrodynamic excitations of matter. In 2d and at long wavelengths, they couple to light and act as the system polaritons. They also dictate the scattering of charged carriers. Van der Waals heterostructures offer the opportunity to couple excitations from different layers via long-range Coulomb interactions, modifying both their dispersion and their scattering of electrons. Even when the excitations do not couple, they are still influenced by the scre…

Targeting Melanoma-Specific Tyrosinase: Cyclic Peptide Disrupts Actin Dynamics for Precision Apoptosis Induction
Ruoyang Zhao, Xiaowei Wang, Jiajia Hu, Qingqing Sun, Xinmin Zhao, Jun Guo, Feng Zhang, Min Wu
https://arxiv.org/abs/2507.06534

Targeting Melanoma-Specific Tyrosinase: Cyclic Peptide Disrupts Actin Dynamics for Precision Apoptosis Induction
Melanoma is an aggressive and highly metastatic cancer that exhibits stubborn resistance to conventional therapies, highlighting the need for novel treatments. Existing therapeutic strategies often suffer from systemic toxicity, poor efficacy and fast-gained drug resistance. In this study, we designed a cyclic peptide system (c-RGDKYQ) that takes the advantage of the overexpression of tyrosinase in melanoma cells to trigger enzyme-mediated oxidation and self-assembly. The assembled peptide nano…

On the Dynamics of Control
Rachit Mehra, M Parimi, S. R. Wagh, Navdeep M Singh
https://arxiv.org/abs/2507.04181 https://arxiv.org/pdf…

On the Dynamics of Control
We present a dynamical system approach for the control of a nonlinear dynamical system by defining the control problem in a Fiber bundle framework. The constructive procedure derived results in the generation of a NHIM/NAIM which facilitates the use of tools and ideas from dynamical system theory to analyze and understand the properties associated with the controlled system. The time scale separation, decoupling of system dynamics, and their role in the system behavior are analyzed. An overview…

@… Happy Birthday!

The NSF–DOE Vera C. Rubin Observatory on Cerro Pachón in Chile has started to repeatedly scan the sky.
Some of it's first images are available at #astronomy #galaxies #rubins

“#pastpuzzle 360
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▪️▪️▪️▪️
3/4 🥉” https://www.pastpuzzle.de/

3 #PositiveDinge gestern
- 360-Grad-Panoramablick in den Pfälzer Wald von der Burg Trifels bei Annweiler
- Kleine Wanderung von der Dicken Eiche zurück nach Hauenstein
- abends doch noch etwas Zeit zum Gitarrespielen gefunden, zum Singen war ich leider zu müde ...

Forex Trading Robot Using Fuzzy Logic
Mustafa Shabani, Alireza Nasiri, Hassan Nafardi
https://arxiv.org/abs/2507.06383 https://arxiv.…

Forex Trading Robot Using Fuzzy Logic
In this study, we propose a fuzzy system for conducting short-term transactions in the forex market. The system is designed to enhance common strategies in the forex market using fuzzy logic, thereby improving the accuracy of transactions. Traditionally, technical strategies based on oscillator indicators have relied on predefined ranges for indicators such as Relative Strength Index (RSI), Commodity Channel Indicator (CCI), and Stochastic to determine entry points for trades. However, the use …

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.

#pastpuzzle 360
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4/4 🟩
https://www.pastpuzzle.de

"Food Waste to Fertilizer System Turns Scraps Into Plant Fertilizer"
#Food #FoodWaste
https://happyeconews.c…

Food Waste to Fertilizer System Turns Scraps Into Plant Fertilizer | Happy Eco News
A Pittsburgh startup has perfected food waste to fertilizer technology that turns banana peels, coffee grounds, and leftover sandwiches into powerful plant

#pastpuzzle 360
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4/4 🟩
https://www.pastpuzzle.de

@… Neat!
My first association before reading the post was this album cover…

@… Neat!
My first association before reading the post was this album cover…

A cautious user's guide in applying HMMs to physical systems
Max Schweiger, Ayush Saurabh, Steve Press\'e
https://arxiv.org/abs/2506.05707 https://…

A cautious user's guide in applying HMMs to physical systems
Nature, as far as we know, evolves continuously through space and time. Yet the ubiquitous hidden Markov model (HMM)--originally developed for discrete time and space analysis in natural language processing--remains a central tool in interpreting time series data drawn from from physical systems. This raises a fundamental question: What are the implications of applying a discrete-state, discrete-time framework to analyze data generated by a continuously evolving system? Through synthetic data g…

Data-driven nonlinear output regulation via data-enforced incremental passivity
Yixuan Liu, Meichen Guo
https://arxiv.org/abs/2506.06079 https://

Data-driven nonlinear output regulation via data-enforced incremental passivity
This work proposes a data-driven regulator design that drives the output of a nonlinear system asymptotically to a time-varying reference and rejects time-varying disturbances. The key idea is to design a data-driven feedback controller such that the closed-loop system is incrementally passive with respect to the regulation error and a virtual input. By carefully designing the virtual input, we solve the data-driven nonlinear output regulation problem where the reference and disturbances are ge…

Your AI strategy is making your product worse, just sayin'.

How Complex is a Complex Network? Insights from Linear Systems Theory
Giacomo Baggio, Marco Fabris
https://arxiv.org/abs/2507.06389 https://

How Complex is a Complex Network? Insights from Linear Systems Theory
This paper leverages linear systems theory to propose a principled measure of complexity for network systems. We focus on a network of first-order scalar linear systems interconnected through a directed graph. By locally filtering out the effect of nodal dynamics in the interconnected system, we propose a new quantitative index of network complexity rooted in the notion of McMillan degree of a linear system. First, we show that network systems with the same interconnection structure share the s…

Datensouveränität in der EU? Microsoft hat jetzt offiziell bestätigt, was viele IT-Experten schon lange befürchten: Der Tech-Gigant kann nicht garantieren, dass EU-Daten vor dem Zugriff durch US-Behörden sicher sind. 🔐
Zum Artikel: https://heise.de/-10494684?w…

"Enel inagurates 10 MWh second-life battery project at Italian airport"
#Italy #Batteries #Energy

Enel inagurates 10 MWh second-life battery project at Italian airport
Enel’s Pioneer project is expected to last 10 to 15 years and has been integrated with Rome-Fiumicino airport’s Solar Farm, self-consumption PV system.

Risk-Aware Trajectory Optimization and Control for an Underwater Suspended Robotic System
Yuki Origane, Nicolas Hoischen, Tzu-Yuan Huang, Daisuke Kurabayashi, Stefan Sosnowski, Sandra Hirche
https://arxiv.org/abs/2507.04640

Risk-Aware Trajectory Optimization and Control for an Underwater Suspended Robotic System
This paper focuses on the trajectory optimization of an underwater suspended robotic system comprising an uncrewed surface vessel (USV) and an uncrewed underwater vehicle (UUV) for autonomous litter collection. The key challenge lies in the significant uncertainty in drag and weight parameters introduced by the collected litter. We propose a dynamical model for the coupled UUV-USV system in the primary plane of motion and a risk-aware optimization approach incorporating parameter uncertainty an…

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

tech nerdery
I mean this: if every receiver just connected to its source when it was ready, and we hadn't made short-timeout stateful firewalls everywhere, we'd have to deploy SO MANY fewer weird one-off services just to receive something.
Instead we have to provision certificates and public facing hostnames to get communication going. Backend development is so much more complex and less robust because of it.

Preparing for the worst: Long-term and short-term weather extremes in resource adequacy assessment
Aleksander Grochowicz, Hannah C. Bloomfield, Marta Victoria
https://arxiv.org/abs/2508.05163

Preparing for the worst: Long-term and short-term weather extremes in resource adequacy assessment
Security of supply is a common and important concern when integrating renewables in net-zero power systems. Extreme weather affects both demand and supply leading to power system stress; in Europe this stress spreads continentally beyond the meteorological root cause. We use an approach based on shadow prices to identify periods of elevated stress called system-defining events and analyse their impact on the power system. By classifying different types of system-defining events, we identify cha…

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

bereft of fucks is a blessing

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

Constraint Hypergraphs as a Unifying Framework for Digital Twins
John Morris, Douglas L. Van Bossuyt, Edward Louis, Gregory Mocko, John Wagner
https://arxiv.org/abs/2507.05494

Constraint Hypergraphs as a Unifying Framework for Digital Twins
Digital twins, used to represent physical systems, have been lauded as tools for understanding reality. Complex system behavior is typically captured in domain-specific models crafted by subject experts. Contemporary methods for employing models in a digital twin require prescriptive interfaces, resulting in twins that are difficult to connect, redeploy, and modify. The limited interoperability of these twins has prompted calls for a universal framework enabling observability across model aggre…

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

RSMA-Enabled Covert Communications Against Multiple Spatially Random Wardens
Xinyue Pei, Jihao Liu, Xuewen Luo, Xingwei Wang, Yingyang Chen, Miaowen Wen, Theodoros A. Tsiftsis
https://arxiv.org/abs/2506.05919

RSMA-Enabled Covert Communications Against Multiple Spatially Random Wardens
This work investigates covert communication in a rate-splitting multiple access (RSMA)-based multi-user multiple-input single-output system, where the random locations of the wardens follow a homogeneous Poisson point process. To demonstrate practical deployment scenarios, imperfect channel state information at the transmitter is considered. Closed-form expressions for the statistics of the received signal-to-interference-plus-noise ratio, along with the analytical formulations for the covertne…

A Koopman-backstepping approach to data-driven robust output regulation for linear parabolic systems
Joachim Deutscher, Julian Zimmer
https://arxiv.org/abs/2506.06451

A Koopman-backstepping approach to data-driven robust output regulation for linear parabolic systems
In this paper a solution of the data-driven robust output regulation problem for linear parabolic systems is presented. Both the system as well as the ODE, i.e., the disturbance model, describing the disturbances are unknown, but finite-time sequential data obtained from measurements of the output to be controlled and additional boundary outputs are available. The data-driven controller is designed in the Koopman operator framework for PDEs, where the Koopman modes and eigenvalues are obtained …

I am not worried about AI taking over in a self-aware doom scenario because it all runs on kubernetes and the moment it tries to self-modify, it'll do something that wedges itself and it'll just stop

Assessing Linear Control Strategies for Zero-Speed Fin Roll Damping
Nikita Savin, Elena Ambrosovskaya, Dmitry Romaev, Anton Proskurnikov
https://arxiv.org/abs/2507.05867

Assessing Linear Control Strategies for Zero-Speed Fin Roll Damping
Roll stabilization is a critical aspect of ship motion control, particularly for vessels operating in low-speed or zero-speed conditions, where traditional hydrodynamic fins lose their effectiveness. In this paper, we consider a roll damping system, developed by Navis JSC, based on two actively controlled zero-speed fins. Unlike conventional fin stabilizers, zero-speed fins employ a drag-based mechanism and active oscillations to generate stabilizing forces even when the vessel is stationary. W…

eu_procurements_alt: EU national procurement networks (2008-2016)
These 234 networks represent the annual national public procurement markets of 26 European countries from 2008-2016, inclusive. Data is sourced from Tenders Electronic Daily (TED), the official procurement portal of the European Union.
This network has 2817 nodes and 2817 edges.
Tags: Economic, Commerce, Weighted, Temporal

Webhooks were a mistake.

This https://arxiv.org/abs/2505.19953 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Interpretable Augmented Physics-Based Model for Estimation and Tracking
State-space estimation and tracking rely on accurate dynamical models to perform well. However, obtaining an vaccurate dynamical model for complex scenarios or adapting to changes in the system poses challenges to the estimation process. Recently, augmented physics-based models (APBMs) appear as an appealing strategy to cope with these challenges where the composition of a small and adaptive neural network with known physics-based models (PBM) is learned on the fly following an augmented state-…

¡Feliz Mes de los Jibbites!

A 40.68-MHz, 200-ns-Settling Active Rectifier and TX-Side Load Monitoring for Minimizing Radiated Power in Biomedical Implants
Ronald Wijermars, Yi-Han Ou-Yang, Sijun Du, Dante Gabriel Muratore
https://arxiv.org/abs/2506.07710

A 40.68-MHz, 200-ns-Settling Active Rectifier and TX-Side Load Monitoring for Minimizing Radiated Power in Biomedical Implants
This letter describes a 40.68 MHz wireless power transfer receiver for implantable applications focused on minimizing tissue heating. The system features a novel power radiated efficiency optimization strategy and a fast-settling active rectifier that maintains high efficiency during load and link variations required for downlink communication. The power radiated efficiency optimization explicitly reduces tissue heating while enabling transmitter-side load monitoring for closed-loop control. Th…

On the Generalization of Data-Assisted Control in port-Hamiltonian Systems (DAC-pH)
Mostafa Eslami, Maryam Babazadeh
https://arxiv.org/abs/2506.07079 https…

On the Generalization of Data-Assisted Control in port-Hamiltonian Systems (DAC-pH)
This paper introduces a hypothetical hybrid control framework for port-Hamiltonian (p$\mathcal{H}$) systems, employing a dynamic decomposition based on Data-Assisted Control (DAC). The system's evolution is split into two parts with fixed topology: Right-Hand Side (RHS)- an intrinsic Hamiltonian flow handling worst-case parametric uncertainties, and Left-Hand Side (LHS)- a dissipative/input flow addressing both structural and parametric uncertainties. A virtual port variable $Π$ serves as the …

Controlled Reach-avoid Set Computation for Discrete-time Polynomial Systems via Convex Optimization
Taoran Wu, Yiling Xue, Dejin Ren, Arvind Easwaran, Martin Fr\"anzle, Bai Xue
https://arxiv.org/abs/2506.06679

Controlled Reach-avoid Set Computation for Discrete-time Polynomial Systems via Convex Optimization
This paper addresses the computation of controlled reach-avoid sets (CRASs) for discrete-time polynomial systems subject to control inputs. A CRAS is a set encompassing initial states from which there exist control inputs driving the system into a target set while avoiding unsafe sets. However, efficiently computing CRASs remains an open problem, especially for discrete-time systems. In this paper, we propose a novel framework for computing CRASs which takes advantage of a probabilistic perspec…

Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices
Chi Liu, Zhezhuang Xu, Jiawei Zhou, Yazhou Yuan, Kai Ma, Meng Yuan
https://arxiv.org/abs/2506.06824

Deep reinforcement learning-based joint real-time energy scheduling for green buildings with heterogeneous battery energy storage devices
Green buildings (GBs) with renewable energy and building energy management systems (BEMS) enable efficient energy use and support sustainable development. Electric vehicles (EVs), as flexible storage resources, enhance system flexibility when integrated with stationary energy storage systems (ESS) for real-time scheduling. However, differing degradation and operational characteristics of ESS and EVs complicate scheduling strategies. This paper proposes a model-free deep reinforcement learning (…

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

Improving Action Smoothness for a Cascaded Online Learning Flight Control System
Yifei Li, Erik-jan van Kampen
https://arxiv.org/abs/2507.04346 https://

Improving Action Smoothness for a Cascaded Online Learning Flight Control System
This paper aims to improve the action smoothness of a cascaded online learning flight control system. Although the cascaded structure is widely used in flight control design, its stability can be compromised by oscillatory control actions, which poses challenges for practical engineering applications. To address this issue, we introduce an online temporal smoothness technique and a low-pass filter to reduce the amplitude and frequency of the control actions. Fast Fourier Transform (FFT) is used…

Computationally Efficient Analytical Models of Frequency and Voltage in Low-Inertia Systems
Marena Trujillo, Amir Sajadi, Jonathan Shaw, Bri-Mathias Hodge
https://arxiv.org/abs/2506.06620

Computationally Efficient Analytical Models of Frequency and Voltage in Low-Inertia Systems
In this paper, low-order models of the frequency and voltage response of mixed-generation, low-inertia systems are presented. These models are unique in their ability to efficiently and accurately model frequency and voltage dynamics without increasing the computational burden as the share of inverters is increased in a system. The models are validated against industry-grade electromagnetic transient simulation, compared to which the proposed models are several orders of magnitude faster. The a…

Deep Equivariant Multi-Agent Control Barrier Functions
Nikolaos Bousias, Lars Lindemann, George Pappas
https://arxiv.org/abs/2506.07755 https://

Deep Equivariant Multi-Agent Control Barrier Functions
With multi-agent systems increasingly deployed autonomously at scale in complex environments, ensuring safety of the data-driven policies is critical. Control Barrier Functions have emerged as an effective tool for enforcing safety constraints, yet existing learning-based methods often lack in scalability, generalization and sampling efficiency as they overlook inherent geometric structures of the system. To address this gap, we introduce symmetries-infused distributed Control Barrier Functions…

Meta-analysis of Life Cycle Assessments for Li-Ion Batteries Production Emissions
Maurizio Clemente, Prapti Maharjan, Mauro Salazar, Theo Hofman
https://arxiv.org/abs/2506.05531

Meta-analysis of Life Cycle Assessments for Li-Ion Batteries Production Emissions
This paper investigates the environmental impact of Li-Ion batteries by quantifying manufacturing-related emissions and analyzing how electricity mix and production scale affect emission intensity. To this end, we conduct a meta-analysis of life cycle assessments on lithium-ion batteries published over the past two decades, categorizing them by year, battery chemistry, functional unit, system boundaries, and electricity mix. We then carry out a cradle-to-gate assessment for a nickel manganese c…

PSA it doesn't take greed to end up in a bad spot with companies extracting as much as they can. Only competition.

On Decision-Dependent Uncertainties in Power Systems with High-Share Renewables
Yunfan Zhang, Yifan Su, Feng Liu
https://arxiv.org/abs/2507.03598 https://

On Decision-Dependent Uncertainties in Power Systems with High-Share Renewables
The continuously increasing renewable energy sources (RES) and demand response (DR) are becoming important sources of system flexibility. As a consequence, decision-dependent uncertainties (DDUs), interchangeably referred to as endogenous uncertainties, impose new characteristics to power system dispatch. The DDUs faced by system operators originate from uncertain dispatchable resources such as RES units or DR, while reserve providers encounter DDUs arising from the uncertain reserve deployment…

It's not your water bottle, honest. It's not your plastic storage containers. It's not the deli take out. It's not in the soil. (I mean, it is, but this isn't where so much of it gets into _us_.)
We breathe it.

remember folks, when you read "microplastics" think "bits of tires in the air"

Optimization-Based Comparative System Evaluation of Single and Dual Traction Inverters with Focus on Partial Load Efficiency and Chip Area
Christoph Sachs, Fabian Stamer, Jan Allgeier, Duleepa Thrimawithana, Martin Neuburger
https://arxiv.org/abs/2507.03573

Optimization-Based Comparative System Evaluation of Single and Dual Traction Inverters with Focus on Partial Load Efficiency and Chip Area
The transition to electric transportation demands efficient and cost-effective powertrains. Optimizing energy use is crucial for extending range and reducing expenses. However, comparing inverter and motor efficiency based on inverter topologies is challenging due to biased methodologies that favor certain designs over others. This document introduces a novel optimization-based approach for enhancing partial load efficiency and minimizing chip area of single and dual traction inverters, indicat…

Research on integrated intelligent energy management system based on big data analysis and machine learning
Jinzhou Xu, Yadan Zhang, Paola Tapia
https://arxiv.org/abs/2508.05583

Research on integrated intelligent energy management system based on big data analysis and machine learning
The application of big data is one of the significant features of integrated smart energy. Applying it to the file management of integrated smart energy projects is of great significance for improving the efficiency of project management and control. This article first discussed the benefits and challenges of implementing big data analysis in document management and control of integrated smart energy projects. In addition, an implementation framework for big data analysis in integrated smart en…

Accounting for Subsystem Aging Variability in Battery Energy Storage System Optimization
Melina Grane, Martin Cornejo, Holger Hesse, Andreas Jossen
https://arxiv.org/abs/2507.04813

Accounting for Subsystem Aging Variability in Battery Energy Storage System Optimization
This paper presents a degradation-cost-aware optimization framework for multi-string battery energy storage systems, emphasizing the impact of inhomogeneous subsystem-level aging in operational decision-making. We evaluate four scenarios for an energy arbitrage scenario, that vary in model precision and treatment of aging costs. Key performance metrics include operational revenue, power schedule mismatch, missed revenues, capacity losses, and revenue generated per unit of capacity loss. Our ana…

And above all of this, even unrelated to the current march of technological whatever it is
Learn to be horrified by war.
Not at it being done badly, or asymmetrically, or with automation, or with "AI targeting" whatever that is, but all of it.

Force-IMU Fusion-Based Sensing Acupuncture Needle and Quantitative Analysis System for Acupuncture Manipulations
Peng Tian, Kang Yu, Tianyun Jiang, Yuqi Wang, Haiying Zhang, Hao Yang, Yunfeng Wang, Jun Zhang, Shuo Gao, Junhong Gao
https://arxiv.org/abs/2507.04821

Force-IMU Fusion-Based Sensing Acupuncture Needle and Quantitative Analysis System for Acupuncture Manipulations
Acupuncture, one of the key therapeutic methods in Traditional Chinese Medicine (TCM), has been widely adopted in various clinical fields. Quantitative research on acupuncture manipulation parameters is critical to achieve standardized techniques. However, quantitative mechanical detection of acupuncture parameters remains limited. This study establishes a kinematic and dynamic model of acupuncture, identifying key parameters such as lifting-thrusting force, acceleration, velocity, displacement…

Learn to be horrified and offended by customer support that goes nowhere, by inaccessible remedy for problems. Learn to be horrified by the denial of humanity at scale.

Towards Long-Range, Battery-less Water Leak Detection: A LoRa-Based Approach
Roshan Nepal, Roozbeh Abbasi, Brandon Brown, Adunni Oginni, Norman Zhou, George Shaker
https://arxiv.org/abs/2507.03649

Towards Long-Range, Battery-less Water Leak Detection: A LoRa-Based Approach
This paper presents a battery-less, self-powered water leak detection system that utilizes LoRa communication for long-range, real-time monitoring. The system harvests hydroelectric energy through a layered stack of conductive nanomaterials and metals, achieving a peak short-circuit current of over 500 mA and 1.65 V open-circuit voltage upon exposure to water. To address LoRa's higher power demands, an energy management subsystem -- comprising a DC-DC boost converter and a 100 mF supercapacitor…

Learn to be horrified by the disregard for artistic integrity, by lies, by fascism, by racism, by sexism, by doomsday cult thinking leaking into everyday life, by climate disaster, by the ripping up of natural landscapes to make room for datacenter sprawls.

Control Synthesis Along Uncertain Trajectories Using Integral Quadratic Constraints
Felix Biert\"umpfel, Peter Seiler, Harald Pfifer
https://arxiv.org/abs/2507.03101

Control Synthesis Along Uncertain Trajectories Using Integral Quadratic Constraints
The paper presents a novel approach to synthesize robust controllers for nonlinear systems along perturbed trajectories. The approach linearizes the system with respect to a reference trajectory. In contrast to existing methods rooted in robust linear time-varying synthesis, the approach accurately includes perturbations that drive the system away from the reference trajectory. Hence, the controller obtained in the linear framework provides a significantly more robust nonlinear performance. The…

Learn not to be horrified by mere "AI"
Learn to be horrified by inhumanity, oppression, commoditization of labor, deskilling people, disrupting lives, acquiring control of society and culture, of misinformation, of uncaring bullshit.

Probabilistic Alternating Simulations for Policy Synthesis in Uncertain Stochastic Dynamical Systems
Thom Badings, Alessandro Abate
https://arxiv.org/abs/2508.05062 https://

Probabilistic Alternating Simulations for Policy Synthesis in Uncertain Stochastic Dynamical Systems
A classical approach to formal policy synthesis in stochastic dynamical systems is to construct a finite-state abstraction, often represented as a Markov decision process (MDP). The correctness of these approaches hinges on a behavioural relation between the dynamical system and its abstraction, such as a probabilistic simulation relation. However, probabilistic simulation relations do not suffice when the system dynamics are, next to being stochastic, also subject to nondeterministic (i.e., se…

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

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

A 20-Year Retrospective on Power and Thermal Modeling and Management
David Atienza, Kai Zhu, Darong Huang, Luis Costero
https://arxiv.org/abs/2508.05495 https://

A 20-Year Retrospective on Power and Thermal Modeling and Management
As processor performance advances, increasing power densities and complex thermal behaviors threaten both energy efficiency and system reliability. This survey covers more than two decades of research on power and thermal modeling and management in modern processors. We start by comparing analytical, regression-based, and neural network-based techniques for power estimation, then review thermal modeling methods, including finite element, finite difference, and data-driven approaches. Next, we c…

On the Limits of Robust Control Under Adversarial Disturbances
Paul Trodden, Jos\'e M. Maestre, Hideaki Ishii
https://arxiv.org/abs/2507.03630 https://…

On the Limits of Robust Control Under Adversarial Disturbances
This paper addresses a fundamental and important question in control: under what conditions does there fail to exist a robust control policy that keeps the state of a constrained linear system within a target set, despite bounded disturbances? This question has practical implications for actuator and sensor specification, feasibility analysis for reference tracking, and the design of adversarial attacks in cyber-physical systems. While prior research has predominantly focused on using optimizat…

An Adaptive Port Technique for Synthesising Rotational Components in Component Modal Synthesis Approaches
Xiang Zhao, My Ha Dao
https://arxiv.org/abs/2507.03276

An Adaptive Port Technique for Synthesising Rotational Components in Component Modal Synthesis Approaches
Component Modal Synthesis (CMS) is a reduced order modelling method widely used for large-scale complex systems. It can effectively approximate system-level models through component synthesis, in which the repetitive geometrical components are modelled once and synthesised together. However, the conventional CMS only applies to systems with stationary components connected by strictly compatible ports, limiting it from modelling systems with moving components. This paper presents an adaptive por…

Power System Voltage Stability Boundary: Computational Results and Applications
Zhenyao Li, Yifan Yao, Deqiang Gan
https://arxiv.org/abs/2508.03119 https://

Power System Voltage Stability Boundary: Computational Results and Applications
The objective of this paper is to report some computational results for the theory of DAE stability boundary, with the aim of advancing applications in power system voltage stability studies. Firstly, a new regularization transformation for standard differential-algebraic equations (DAEs) is proposed. Then the existence of anchor points on voltage stability boundary is examined, and an optimization method for computing the controlling pseudo-saddle is suggested. Subsequently, a local representa…

Linear Program-Based Stability Conditions for Nonlinear Autonomous Systems
Sadredin Hokmi, Mohammad Khajenejad
https://arxiv.org/abs/2508.04871 https://arx…

Linear Program-Based Stability Conditions for Nonlinear Autonomous Systems
This paper introduces a novel approach to evaluating the asymptotic stability of equilibrium points in both continuous-time (CT) and discrete-time (DT) nonlinear autonomous systems. By utilizing indirect Lyapunov methods and linearizing system dynamics through Jacobian matrices, the methodology replaces traditional semi-definite programming (SDP) techniques with computationally efficient linear programming (LP) conditions. This substitution substantially lowers the computational burden, includi…

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation
Aniket Johri, Divyanshi Dwivedi, Mayukha Pal
https://arxiv.org/abs/2508.04170

Agentic-AI based Mathematical Framework for Commercialization of Energy Resilience in Electrical Distribution System Planning and Operation
The increasing vulnerability of electrical distribution systems to extreme weather events and cyber threats necessitates the development of economically viable frameworks for resilience enhancement. While existing approaches focus primarily on technical resilience metrics and enhancement strategies, there remains a significant gap in establishing market-driven mechanisms that can effectively commercialize resilience features while optimizing their deployment through intelligent decision-making.…

System Identification via Validation and Adaptation for Model Updating Applied to a Nonlinear Cantilever Beam
Cristian L\'opez, Jackson E. Herzlieb, Keegan J. Moore
https://arxiv.org/abs/2508.00931

System Identification via Validation and Adaptation for Model Updating Applied to a Nonlinear Cantilever Beam
The recently proposed System Identification via Validation and Adaptation (SIVA) method allows system identification, uncertainty quantification, and model validation directly from data. Inspired by generative modeling, SIVA employs a neural network that converts random noise to physically meaningful parameters. The known equation of motion utilizes these parameters to generate fake accelerations, which are compared to real training data using a mean square error loss. For concurrent parameter …

Distribution System State and Impedance Estimation Augmented with Carson's Equations
Marta Vanin, Frederik Geth, Rahmat Heidari, Dirk Van Hertem
https://arxiv.org/abs/2506.04949

Distribution System State and Impedance Estimation Augmented with Carson's Equations
The impedances of cables and lines used in (multi-conductor) distribution networks are usually unknown or approximated, and may lead to problematic results for any physics-based power system calculation, e.g., (optimal) power flow. Learning parameters from time series data is one of the few available options to obtain improved impedance models. This paper presents an approach that combines statistical learning concepts with the exploitation of domain knowledge, in the form of Carson's equations…

Determination of Bandwidth of Q-filter in Disturbance Observers to Guarantee Transient and Steady State Performance under Measurement Noise
Gaeun Kim, Hyungbo Shim
https://arxiv.org/abs/2507.02981

Determination of Bandwidth of Q-filter in Disturbance Observers to Guarantee Transient and Steady State Performance under Measurement Noise
Q-filter-based disturbance observer (DOB) is one of the most widely used robust controller due to its design simplicity. Such simplicity arises from that reducing the time constant of low pass filters, not only ensures robust stability but also enhances nominal performance recovery -- ability to recover the trajectory of nominal closed-loop system. However, in contrast to noise-free environment, excessively small time constant can rather damage the nominal performance recovery under measurement…

Error Bounds for Radial Network Topology Learning from Quantized Measurements
Samuel Talkington, Aditya Rangarajan, Pedro A. de Alc\^antara, Line Roald, Daniel K. Molzahn, Daniel R. Fuhrmann
https://arxiv.org/abs/2508.05620

Error Bounds for Radial Network Topology Learning from Quantized Measurements
We probabilistically bound the error of a solution to a radial network topology learning problem where both connectivity and line parameters are estimated. In our model, data errors are introduced by the precision of the sensors, i.e., quantization. This produces a nonlinear measurement model that embeds the operation of the sensor communication network into the learning problem, expanding beyond the additive noise models typically seen in power system estimation algorithms. We show that the er…

Causality and Interpretability for Electrical Distribution System faults
Karthik Peddi, Sai Ram Aditya Parisineni, Hemanth Macharla, Mayukha Pal
https://arxiv.org/abs/2508.02524

Causality and Interpretability for Electrical Distribution System faults
Causal analysis helps us understand variables that are responsible for system failures. This improves fault detection and makes system more reliable. In this work, we present a new method that combines causal inference with machine learning to classify faults in electrical distribution systems (EDS) using graph-based models. We first build causal graphs using transfer entropy (TE). Each fault case is represented as a graph, where the nodes are features such as voltage and current, and the edges…

This https://arxiv.org/abs/2502.03278 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Fault-Tolerant Control for System Availability and Continuous Operation in Heavy-Duty Wheeled Mobile Robots
When the control system in a heavy-duty wheeled mobile robot (HD-WMR) malfunctions, deviations from ideal motion occur, significantly heightening the risks of off-road instability and costly damage. To meet the demands for safety, reliability, and controllability in HD-WMRs, the control system must tolerate faults to a certain extent, ensuring continuous operation. To this end, this paper introduces a model-free hierarchical control with fault accommodation (MFHCA) framework designed to address…

Modeling and Simulation of an Active Quarter Car Suspension with a Robust LQR Controller under Road Disturbance and Parameter Uncertainty
Mehmet Karahan
https://arxiv.org/abs/2508.02906

Modeling and Simulation of an Active Quarter Car Suspension with a Robust LQR Controller under Road Disturbance and Parameter Uncertainty
Vehicle suspension is important for passengers to travel comfortably and to be less exposed to effects such as vibration and shock. A good suspension system in-creases the road holding of vehicles, allows them to take turns safely and reduces the risk of traffic accidents. Passive suspension system is the most widely used suspension system in vehicles due to its simple structure and low cost. Passive suspension systems do not have an actuator and therefore do not have a controller. Active suspe…

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 …

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…

Supervisory Control of Discrete Event Systems for Small Language Under Cyber Attacks
Xiaojun Wang, Shaolong Shu, Feng Lin
https://arxiv.org/abs/2508.02083 https://

Supervisory Control of Discrete Event Systems for Small Language Under Cyber Attacks
Cyber attacks are unavoidable in networked discrete event systems where the plant and the supervisor communicate with each other via networks. Because of the nondeterminism in observation and control caused by cyber attacks, the language generated by the supervised system becomes nondeterministic. The small language is defined as the lower bound on all possible languages that can be generated by the supervised system, which is needed for a supervised system to perform some required tasks under …