Tootfinder

Tell me again how 'AI is going to revolutionise education' when roughly a quarter of primary schools globally don't even have electricity, toilets, drinking water, and basic WASH facilities.
It's 1925 in 2025 for 25% of schools in the world.
#Education #GlobalEducation

Gradient-Based Excitation Filter for Molecular Ground-State Simulation
Runhong He, Qiaozhen Chai, Xin Hong, Ji Guan, Guolong Cui, Shengbin Wang, Shenggang Ying
https://arxiv.org/abs/2506.20398

Gradient-Based Excitation Filter for Molecular Ground-State Simulation
Molecular system simulation is one of the most promising areas for demonstrating practical quantum advantage with near-term quantum computers. The Variational Quantum Eigensolver (VQE) is a leading algorithm for studying molecular energy levels, yet it still faces significant challenges due to excessive circuit depth. This paper introduces a method to efficiently simplify the Unitary Coupled-Cluster with Single and Double Excitations (UCCSD) ansatz in classical computer. We propose to estimate …

Measuring Modern Phishing Tactics: A Quantitative Study of Body Obfuscation Prevalence, Co-occurrence, and Filter Impact
Antony Dalmiere (LAAS), Zheng Zhou (LAAS), Guillaume Auriol (LAAS-TRUST, INSA Toulouse), Vincent Nicomette (LAAS-TSF, LAAS-TRUST), Pascal Marchand (LERASS, IUT Paul Sabatier)
https://arxiv.org/abs/2506.20228…

Measuring Modern Phishing Tactics: A Quantitative Study of Body Obfuscation Prevalence, Co-occurrence, and Filter Impact
Phishing attacks frequently use email body obfuscation to bypass detection filters, but quantitative insights into how techniques are combined and their impact on filter scores remain limited. This paper addresses this gap by empirically investigating the prevalence, co-occurrence patterns, and spam score associations of body obfuscation techniques. Analysing 386 verified phishing emails, we quantified ten techniques, identified significant pairwise co-occurrences revealing strategic layering l…

Robust Embodied Self-Identification of Morphology in Damaged Multi-Legged Robots
Sahand Farghdani, Mili Patel, Robin Chhabra
https://arxiv.org/abs/2506.19984

Robust Embodied Self-Identification of Morphology in Damaged Multi-Legged Robots
Multi-legged robots (MLRs) are vulnerable to leg damage during complex missions, which can impair their performance. This paper presents a self-modeling and damage identification algorithm that enables autonomous adaptation to partial or complete leg loss using only data from a low-cost IMU. A novel FFT-based filter is introduced to address time-inconsistent signals, improving damage detection by comparing body orientation between the robot and its model. The proposed method identifies damaged …

Lost in Translation? Converting RegExes for Log Parsing into Dynatrace Pattern Language
Julian Fragner, Christian Macho, Bernhard Dieber, Martin Pinzger
https://arxiv.org/abs/2506.19539

Lost in Translation? Converting RegExes for Log Parsing into Dynatrace Pattern Language
Log files provide valuable information for detecting and diagnosing problems in enterprise software applications and data centers. Several log analytics tools and platforms were developed to help filter and extract information from logs, typically using regular expressions (RegExes). Recent commercial log analytics platforms provide domain-specific languages specifically designed for log parsing, such as Grok or the Dynatrace Pattern Language (DPL). However, users who want to migrate to these p…

Maneuvering-based Dynamic Thrust Allocation for Fully-Actuated Vessels
Emir Cem Gezer, Roger Skjetne
https://arxiv.org/abs/2507.18309 https://arxiv.org/pdf…

Maneuvering-based Dynamic Thrust Allocation for Fully-Actuated Vessels
This paper introduces a new approach to solving the thrust allocation problem using the maneuvering problem in the maritime domain for fully actuated vessels. The method uses a control Lyapunov function to create a nonlinear reference filter for the thruster forces. The filter ensures dynamic tracking of the optimal thrust allocation solution with rate limitation in the output thruster references. It further uses control barrier functions to ensure that the thruster force saturation limits are …

Transformer Based Multi-Target Bernoulli Tracking for Maritime Radar
Caden Sweeney, Du Yong Kim, Branko Ristic, Brian Cheung
https://arxiv.org/abs/2506.20319

Transformer Based Multi-Target Bernoulli Tracking for Maritime Radar
Multi-target tracking in the maritime domain is a challenging problem due to the non-Gaussian and fluctuating characteristics of sea clutter. This article investigates the use of machine learning (ML) to the detection and tracking of low SIR targets in the maritime domain. The proposed method uses a transformer to extract point measurements from range-azimuth maps, before clustering and tracking using the Labelled mulit- Bernoulli (LMB) filter. A measurement driven birth density design based on…

The Impact of Artificial Intelligence on Human Thought
R\'enald Gesnot
https://arxiv.org/abs/2508.16628 https://arxiv.org/pdf/2508.16628

The Impact of Artificial Intelligence on Human Thought
This research paper examines, from a multidimensional perspective (cognitive, social, ethical, and philosophical), how AI is transforming human thought. It highlights a cognitive offloading effect: the externalization of mental functions to AI can reduce intellectual engagement and weaken critical thinking. On the social level, algorithmic personalization creates filter bubbles that limit the diversity of opinions and can lead to the homogenization of thought and polarization. This research als…

Any recommendations for a #FairPhone5 screen protector besides the official Fairphone ones (ideally made in UK since that's where I am)?
(I tried their privacy screen and it was not convenient when you want to show something to someone. The other option, "blue screen filter", I don't see the point of. They're also quite expensive.).

Sensing-Aware Transmit Waveform/Receive Filter Design for OFDM-MBS Systems
Xinghe Li, Kainan Cheng, Huiyong Li, Huiyong Li, Ziyang Cheng
https://arxiv.org/abs/2506.20231

Sensing-Aware Transmit Waveform/Receive Filter Design for OFDM-MBS Systems
In this letter, we study the problem of cooperative sensing design for an orthogonal frequency division multiplexing (OFDM) multiple base stations (MBS) system. We consider a practical scenario where the base stations (BSs) exploit certain subcarriers to realize a sensing function. Since the high sidelobe level (SLL) of OFDM waveforms degrades radar detection for weak targets, and the cross-correlation generated by other BSs further exacerbates detection performance, we devise a joint design sc…

Filter-And-Refine: A MLLM Based Cascade System for Industrial-Scale Video Content Moderation
Zixuan Wang, Jinghao Shi, Hanzhong Liang, Xiang Shen, Vera Wen, Zhiqian Chen, Yifan Wu, Zhixin Zhang, Hongyu Xiong
https://arxiv.org/abs/2507.17204

Filter-And-Refine: A MLLM Based Cascade System for Industrial-Scale Video Content Moderation
Effective content moderation is essential for video platforms to safeguard user experience and uphold community standards. While traditional video classification models effectively handle well-defined moderation tasks, they struggle with complicated scenarios such as implicit harmful content and contextual ambiguity. Multimodal large language models (MLLMs) offer a promising solution to these limitations with their superior cross-modal reasoning and contextual understanding. However, two key ch…

Topological Layer-Spin Filter in Screw Dislocation
Jiaojiao Zhou, Hong Hu, Jiangying Yu, Lin Xu, Shu-guang Cheng, Hua Jiang
https://arxiv.org/abs/2507.18089 https://

Topological Layer-Spin Filter in Screw Dislocation
While the quantum spin Hall effect leverages two-dimensional topological states to manipulate spin without dissipation, layertonics extends this paradigm to three dimension by enabling control over the layer degree of freedom. Topological materials incorporating screw dislocations exhibit the capability for simultaneous manipulation of both electronic spin and layer degrees of freedom. In this work, the electronic transport properties of a multilayer Kane-Mele model with screw dislocations is s…

The Exact Enumeration of $4$-nomial and $5$-nomial Multiples of the Product of Primitive Polynomials over GF(2)
Soniya Takshak, Rajendra Kumar Sharma
https://arxiv.org/abs/2507.18465

The Exact Enumeration of $4$-nomial and $5$-nomial Multiples of the Product of Primitive Polynomials over GF(2)
Linear feedback shift registers (LFSRs) are used to generate secret keys in stream cipher cryptosystems. There are different kinds of key-stream generators like filter generators, combination generators, clock-controlled generators, etc. For a combination generator, the connection polynomial is the product of the connection polynomials of constituent LFSRs. For better cryptographic properties, the connection polynomials of the constituent LFSRs should be primitive with coprime degrees. The cryp…

A new data-driven energy-stable Evolve-Filter-Relax model for turbulent flow simulation
Anna Ivagnes, Toby van Gastelen, Syver D{\o}ving Agdestein, Benjamin Sanderse, Giovanni Stabile, Gianluigi Rozza
https://arxiv.org/abs/2507.17423

A new data-driven energy-stable Evolve-Filter-Relax model for turbulent flow simulation
We present a novel approach to define the filter and relax steps in the evolve-filter-relax (EFR) framework for simulating turbulent flows. The EFR main advantages are its ease of implementation and computational efficiency. However, as it only contains two parameters (one for the filter step and one for the relax step) its flexibility is rather limited. In this work, we propose a data-driven approach in which the optimal filter is found based on DNS data in the frequency domain. The optimizati…

Not a JS expert, but if you ignore `<dialog>` (via `.showModal()`) to roll your own modal, I feel a different selector for interactive elements is better than repeating `.filter()` (comment link):
https://css-tricks.com/a-primer-on-focus-trapping/#comment-1…

A Primer on Focus Trapping | CSS-Tricks
Focus trapping is about managing focus within an element, such that focus always stays within it. The whole process sounds simple in theory, but it can quite difficult to build in practice, mostly because of the numerous parts to you got to manage.

Reflection-less filter for superconducting quantum circuits
Jessica Kedziora, Eric Q. Bui, Alec Yen, Andres E. Lombo, Kaidong Peng, Terence J. Weir, Kevin P. O'Brien
https://arxiv.org/abs/2506.20645

Reflection-less filter for superconducting quantum circuits
Protecting superconducting quantum circuits from non-ideal return loss, including out-of-band circulator behavior and enhancing the performance of broadband quantum-limited amplifiers can be accomplished using a superconducting version of a special class of microwave filters known as reflection-less filters. These filters can simultaneously permit low pass band loss to preserve quantum efficiency and broad band reflection-less characteristics in the stop and pass bands. The filter also suppress…

Park Discovery II 🏞️
公园探险 II 🏞️
📷 Nikon FE
🎞️Lucky SHD 400
buy me ☕️ ?/请我喝杯☕️？
#filmphotography

Yiding Cao Geld mit PayPal.Me senden
Folgen Sie dem Link PayPal.Me/dingsterdingster und geben Sie den Betrag ein. Es ist bequem und sicher. Sie haben noch kein PayPal-Konto? Kein Problem.

Microbes form living electrical networks to filter methane from ocean floor, scientists discover
https://phys.org/news/2025-08-microbes-electrical-networks-filter-methane.html#google_vignette

I wonder why #Mastodon #Apps filters with these settings also apply to #Notifications, even though they are explicitly not supposed to?
The web UI filters the notifications correctly. I.e. only if th…

Speech Enhancement with Dual-path Multi-Channel Linear Prediction Filter and Multi-norm Beamforming
Chengyuan Qin, Wenmeng Xiong, Jing Zhou, Maoshen Jia, Changchun Bao
https://arxiv.org/abs/2507.18350 …

Speech Enhancement with Dual-path Multi-Channel Linear Prediction Filter and Multi-norm Beamforming
In this paper, we propose a speech enhancement method us ing dual-path Multi-Channel Linear Prediction (MCLP) filters and multi-norm beamforming. Specifically, the MCLP part in the proposed method is designed with dual-path filters in both time and frequency dimensions. For the beamforming part, we minimize the power of the microphone array output as well as the l1 norm of the denoised signals while preserving source sig nals from the target directions. An efficient method to select t…

Continuing to experiment with plotting the #fork network of #QEMU for my talk at #kvmforum2025. I need to figure out a way to filter out normal developer forks from the rest.

Spectral-filtering-induced phase transition in passively mode-locked fiber lasers
Oumaima Ougrige, Florent Bessin, Charles Ciret, Herve Leblond, Fran\c{c}ois Sanchez
https://arxiv.org/abs/2506.18468

Spectral-filtering-induced phase transition in passively mode-locked fiber lasers
We investigate the effect of a tunable spectral filter on the dynamics of a passively mode-locked fiber laser in the anomalous dispersion regime. The results show that noise-like pulse emission evolves toward bound-state regime as the filter bandwidth is reduced. Thanks to the Shannon entropy applied to dispersive Fourier transform signals, it is demonstrated that the system undergoes a phase transition.

: I've heard that there is a shell (bourne or csh) to perl filter, does
: anyone know of this or where I can get it?
Yeah, you filter it through Tom Christiansen. :-) -- Larry Wall

Efficient and Distortion-less Spectrum Multiplexer via Neural Network-based Filter Banks
Jiazhao Wang, Wenchao Jiang
https://arxiv.org/abs/2507.17106 https://

Efficient and Distortion-less Spectrum Multiplexer via Neural Network-based Filter Banks
Spectrum multiplexer enables simultaneous transmission of multiple narrow-band IoT signals through gateway devices, thereby enhancing overall spectrum utilization. We propose a novel solution based on filter banks that offer increased efficiency and minimal distortion compared with conventional methods. We follow a model-driven approach to integrate the neural networks into the filter bank design by interpreting the neural network models as filter banks. The proposed NN-based filter banks can l…

Improved Mapping Between Illuminations and Sensors for RAW Images
Abhijith Punnappurath, Luxi Zhao, Hoang Le, Abdelrahman Abdelhamed, SaiKiran Kumar Tedla, Michael S. Brown
https://arxiv.org/abs/2508.14730

Improved Mapping Between Illuminations and Sensors for RAW Images
RAW images are unprocessed camera sensor output with sensor-specific RGB values based on the sensor's color filter spectral sensitivities. RAW images also incur strong color casts due to the sensor's response to the spectral properties of scene illumination. The sensor- and illumination-specific nature of RAW images makes it challenging to capture RAW datasets for deep learning methods, as scenes need to be captured for each sensor and under a wide range of illumination. Methods for illuminatio…

Transformations of Computational Meshes
Matthew G. Knepley
https://arxiv.org/abs/2506.16341 https://arxiv.org/pdf/2506.16341

Transformations of Computational Meshes
Computational meshes, as a way to partition space, form the basis of much of PDE simulation technology, for instance for the finite element and finite volume discretization methods. In complex simulations, we are often driven to modify an input mesh, for example, to refine, coarsen, extrude, change cell types, or filter it. Mesh manipulation code can be voluminous, error-prone, spread over many special cases, and hard to understand and maintain by subsequent developers. We present a simple, tab…

Turns out the reason that the GPU accelerated level detector made the CDR slower is that I was working on test data loaded from a file, and not moving the data from CPU to GPU before starting the filter graph. So of *course* it was slower, due to the unnecessary data movement.
But that's unrealistic since on a real high-performance scope driver (e.g. thunderscope) the first thing we typically do is push data from CPU to GPU to do the int-float conversion there.
Time to repea…

Modeling Long-term User Behaviors with Diffusion-driven Multi-interest Network for CTR Prediction
Weijiang Lai, Beihong Jin, Yapeng Zhang, Yiyuan Zheng, Rui Zhao, Jian Dong, Jun Lei, Xingxing Wang
https://arxiv.org/abs/2508.15311

Modeling Long-term User Behaviors with Diffusion-driven Multi-interest Network for CTR Prediction
CTR (Click-Through Rate) prediction, crucial for recommender systems and online advertising, etc., has been confirmed to benefit from modeling long-term user behaviors. Nonetheless, the vast number of behaviors and complexity of noise interference pose challenges to prediction efficiency and effectiveness. Recent solutions have evolved from single-stage models to two-stage models. However, current two-stage models often filter out significant information, resulting in an inability to capture di…

Exact closure for discrete large-eddy simulation
Syver D{\o}ving Agdestein, Roel Verstappen, Benjamin Sanderse
https://arxiv.org/abs/2507.17051 https://arx…

Exact closure for discrete large-eddy simulation
In this article we propose new discretization-consistent expressions for the sub-filter stress (SFS) tensor in discrete LES, where the filter is induced by the discretization. We introduce a new two-grid filter that allows us to exactly compute the SFS tensor when DNS data is available. This new filter satisfies a "filter-swap" property, such that filtering and finite differencing can be interchanged and the resulting commutator expressions are of structural form (they can be written as the dis…

The rain has topped up the pool pond! 🙏 🌧️
It is overflowing at the overflow and only at the overflow, that I can tell :). I powered the pump up from its 40% (34W) to 75% (120W) to get things moving in the filter while we have the rain.
I might as well use it to allow it to clean the gunk out of the system naturally!
Still feels like I got rushed into filling it, but it is really satisfying nonetheless to see it functioning as designed in my head! lol
#poolpond #diy #backyardproject

Just read this post by @… on an optimistic AGI future, and while it had some interesting and worthwhile ideas, it's also in my opinion dangerously misguided, and plays into the current AGI hype in a harmful way.
https://social.coop/@eloquence/114940607434005478
My criticisms include:
- Current LLM technology has many layers, but the biggest most capable models are all tied to corporate datacenters and require inordinate amounts of every and water use to run. Trying to use these tools to bring about a post-scarcity economy will burn up the planet. We urgently need more-capable but also vastly more efficient AI technologies if we want to use AI for a post-scarcity economy, and we are *not* nearly on the verge of this despite what the big companies pushing LLMs want us to think.
- I can see that permacommons.org claims a small level of expenses on AI equates to low climate impact. However, given current deep subsidies on place by the big companies to attract users, that isn't a great assumption. The fact that their FAQ dodges the question about which AI systems they use isn't a great look.
- These systems are not free in the same way that Wikipedia or open-source software is. To run your own model you need a data harvesting & cleaning operation that costs millions of dollars minimum, and then you need millions of dollars worth of storage & compute to train & host the models. Right now, big corporations are trying to compete for market share by heavily subsidizing these things, but it you go along with that, you become dependent on them, and you'll be screwed when they jack up the price to a profitable level later. I'd love to see open dataset initiatives SBD the like, and there are some of these things, but not enough yet, and many of the initiatives focus on one problem while ignoring others (fine for research but not the basis for a society yet).
- Between the environmental impacts, the horrible labor conditions and undercompensation of data workers who filter the big datasets, and the impacts of both AI scrapers and AI commons pollution, the developers of the most popular & effective LLMs have a lot of answer for. This project only really mentions environmental impacts, which makes me think that they're not serious about ethics, which in turn makes me distrustful of the whole enterprise.
- Their language also ends up encouraging AI use broadly while totally ignoring several entire classes of harm, so they're effectively contributing to AI hype, especially with such casual talk of AGI and robotics as if embodied AGI were just around the corner. To be clear about this point: we are several breakthroughs away from AGI under the most optimistic assumptions, and giving the impression that those will happen soon plays directly into the hands of the Sam Altmans of the world who are trying to make money off the impression of impending huge advances in AI capabilities. Adding to the AI hype is irresponsible.
- I've got a more philosophical criticism that I'll post about separately.
I do think that the idea of using AI & other software tools, possibly along with robotics and funded by many local cooperatives, in order to make businesses obsolete before they can do the same to all workers, is a good one. Get your local library to buy a knitting machine alongside their 3D printer.
Lately I've felt too busy criticizing AI to really sit down and think about what I do want the future to look like, even though I'm a big proponent of positive visions for the future as a force multiplier for criticism, and this article is inspiring to me in that regard, even if the specific project doesn't seem like a good one.

Flow Matching-Based Generative Modeling for Efficient and Scalable Data Assimilation
Taos Transue, Bohan Chen, So Takao, Bao Wang
https://arxiv.org/abs/2508.13313 https://

Flow Matching-Based Generative Modeling for Efficient and Scalable Data Assimilation
Data assimilation (DA) is the problem of sequentially estimating the state of a dynamical system from noisy observations. Recent advances in generative modeling have inspired new approaches to DA in high-dimensional nonlinear settings, especially the ensemble score filter (EnSF). However, these come at a significant computational burden due to slow sampling. In this paper, we introduce a new filtering framework based on flow matching (FM) -- called the ensemble flow filter (EnFF) -- to accelera…

Receding Horizon Recursive Location Estimation
Xu Weng, K. V. Ling, Ling Zhao
https://arxiv.org/abs/2506.18430 https://arxiv.org/pdf/…

Receding Horizon Recursive Location Estimation
This paper presents a recursive solution to the receding or moving horizon estimation (MHE) problem for nonlinear time-variant systems. We provide the conditions under which the recursive MHE is equivalent to the extended Kalman filter (EKF), regardless of the horizon size. Theoretical and empirical evidence is also provided. Moreover, we clarify the connection between MHE and factor graph optimization (FGO). We apply the recursive MHE to GNSS localization and evaluate its performance using pub…

In orbit operation of Resolve Filter Wheel and MXS
Russell F. Shipman, Shunji Kitamoto, Rob Wolfs, Elisa Costantini, Megan E. Eckart, Carlo Ferrigno, Ludovic Genolet, Nathalie Gorter, Martin Grim, Jan Willem den Herder, Caroline A. Kilbourne, Maurice A. Leutenegger, Erik van der Meer, Misaki Mizumoto, F. Scott Porter, St\'ephane Paltani, Makoto Sawada, Simon Strotmann, Masahiro Tsujimoto, Cor P. de Vries

In orbit operation of Resolve Filter Wheel and MXS
The Resolve soft X-ray spectrometer is the high spectral resolution microcalorimeter spectrometer for the XRISM mission. In the beam of Resolve there is a filter wheel containing \xray{} filters. In the beam also is an active calibration source (the modulated X-ray source (MXS) that can provide pulsed \xray s to facilitate gain calibration. The filter wheel consists of six filter positions. Two open positions, one $^{55}$Fe source to aid in spectrometer characterization during the commissioni…

Good stuff for Mac Users. I’ve used it forever. Really handy, and it works well.
#Software #Mac #MacOS

St. Clair Software (@stclairsoft@mstdn.social)
Attached: 1 image Default Folder X 6.1.6 is out! It includes a Focus filter to automatically switch folder sets when you activate a macOS Focus. It's also faster in file dialogs and fixes issues with keyboard shortcuts, Finder-click, keyboard focus and making new folders. https://www.stclairsoft.com/blog/2025/05/13/default-folder-x-6-1-6-automatically-swap-favorites-and-default-folders-when-you-switch-macos-focus-modes

Yesterday I stuck a filter into uBlock Origin to omit AI results in Google searches. It worked...for about a day.

Controlling the Parameterized Multi-channel Wiener Filter using a tiny neural network
Eric Grinstein, Ashutosh Pandey, Cole Li, Shanmukha Srinivas, Juan Azcarreta, Jacob Donley, Sanha Lee, Ali Aroudi, Cagdas Bilen
https://arxiv.org/abs/2507.13863

Controlling the Parameterized Multi-channel Wiener Filter using a tiny neural network
Noise suppression and speech distortion are two important aspects to be balanced when designing multi-channel Speech Enhancement (SE) algorithms. Although neural network models have achieved state-of-the-art noise suppression, their non-linear operations often introduce high speech distortion. Conversely, classical signal processing algorithms such as the Parameterized Multi-channel Wiener Filter ( PMWF) beamformer offer explicit mechanisms for controlling the suppression/distortion trade-off. …

»DuckDuckGo now lets you hide AI-generated images in search results:
Privacy-focused browser DuckDuckGo is rolling out a new setting that lets users filter out AI images in search results. The company says it’s launching the feature in response to feedback from users who said AI images can get in the way of finding what they’re looking for.«
I don't prefer this as my main search engine but if this could not trigger ain anti-AI hype?
🔎

DuckDuckGo now lets you hide AI-generated images in search results | TechCrunch
DuckDuckGo's new search feature comes as the internet is being flooded with AI-generated slop.

A Taylor swimming sheet under a finite Brinkman layer
Tasawar Iqbal, Catherine Penington, Christian Thomas, Lyndon Koens
https://arxiv.org/abs/2507.16125 https://

A Taylor swimming sheet under a finite Brinkman layer
An asymptotic approach is employed to study the swimming speed of a two-dimensional Taylor swimming sheet beneath a Brinkman layer of finite thickness. This configuration is representative of a swimmer confined within a porous non-Newtonian boundary and could model microscopic filter feeders like choanoflagellates and sponges or the mucociliary escalator in the lungs. When ignoring the effects of jump stress and porosity, the swimming speed of the sheet decreases as the thickness and lower boun…

Low-Power and Accurate IoT Monitoring Under Radio Resource Constraint
Takaho Shimokasa, Hiroyuki Yomo, Federico Chiariotti, Junya Shiraishi, Petar Popovski
https://arxiv.org/abs/2507.15338

Low-Power and Accurate IoT Monitoring Under Radio Resource Constraint
This paper investigates how to achieve both low-power operations of sensor nodes and accurate state estimation using Kalman filter for internet of things (IoT) monitoring employing wireless sensor networks under radio resource constraint. We consider two policies used by the base station to collect observations from the sensor nodes: (i) an oblivious policy, based on statistics of the observations, and (ii) a decentralized policy, based on autonomous decision of each sensor based on its instant…

Interpretable Embeddings of Speech Enhance and Explain Brain Encoding Performance of Audio Models
Riki Shimizu, Richard J. Antonello, Chandan Singh, Nima Mesgarani
https://arxiv.org/abs/2507.16080

Interpretable Embeddings of Speech Enhance and Explain Brain Encoding Performance of Audio Models
Self-supervised speech models (SSMs) are increasingly hailed as more powerful computational models of human speech perception than models based on traditional hand-crafted features. However, since their representations are inherently black-box, it remains unclear what drives their alignment with brain responses. To remedy this, we built linear encoding models from six interpretable feature families: mel-spectrogram, Gabor filter bank features, speech presence, phonetic, syntactic, and semantic …

My least favorite work interactions are with customers’ 3rd party “rockstar” consultants. I never know how to respond to certain sorts of queries. Ones where I could answer the question as asked but it really implies a deeper misunderstanding. I feel like I want to write him a treatise on VPNs: what they are and how they work. And Cc his boss (who shares his surname…) to communicate the depth of the problem.
I’m letting my boss handle it. He’s the networking guy anyway…

Data assimilation using a global Girsanov nudged particle filter
Maneesh Kumar Singh, Joshua Hope-Collins, Colin J. Cotter, Dan Crisan
https://arxiv.org/abs/2507.17685 https://

Data assimilation using a global Girsanov nudged particle filter
We present a particle filtering algorithm for stochastic models on infinite dimensional state space, making use of Girsanov perturbations to nudge the ensemble of particles into regions of higher likelihood. We argue that the optimal control problem needs to couple control variables for all of the particles to maintain an ensemble with good effective sample size (ESS). We provide an optimisation formulation that separates the problem into three stages, separating the nonlinearity in the ESS ter…

[OT] Extensions to reduce Google AI-generated search clutter in Chrome and Edge (on Windows) https://chromewebstore.google.com/detail/bye-bye-google-ai-turn-of/imllolhfajlbkpheaapjocclpppchggc or Firefox

Bye Bye, Google AI: Turn off Google AI Overviews, Discussions and Ads - Chrome Web Store
Filter Google search results to hide AI overviews, ads, discussions or videos. You choose.

Nature of High Equivalent Width Emitters in the Epoch of Reionization Revealed by JWST Medium-band Imaging
Kazuki Daikuhara, Takahiro Morishita, Tadayuki Kodama, Ranga-Ram Chary, Masayuki Akiyama, Jose. M. P\'erez-Mart\'inez
https://arxiv.org/abs/2507.13456

Nature of High Equivalent Width Emitters in the Epoch of Reionization Revealed by JWST Medium-band Imaging
Extreme emission line galaxies (EELGs) at high redshifts are considered key contributors to cosmic reionization at $z>6$ due to their higher ionization efficiencies. We have identified 119 H$β$ + [OIII] emitters at $z\sim7$ selected by a flux excess in the medium-band filter F410M in the public James Webb Space Telescope Cycle-1 fields. Our emitters exhibit a wide range in rest-frame H$β$ + [OIII] equivalent width (EWs), 420 $<$ EW$_{0}$/Å $<$ 6850 (with the median value of $\sim1700$ Å). A…

A Mechanism for Mutual Fairness in Cooperative Games with Replicable Resources -- Extended Version
Bj\"orn Filter, Ralf M\"oller, \"Ozg\"ur L\"utf\"u \"Oz\c{c}ep
https://arxiv.org/abs/2508.13960

A Mechanism for Mutual Fairness in Cooperative Games with Replicable Resources -- Extended Version
The latest developments in AI focus on agentic systems where artificial and human agents cooperate to realize global goals. An example is collaborative learning, which aims to train a global model based on data from individual agents. A major challenge in designing such systems is to guarantee safety and alignment with human values, particularly a fair distribution of rewards upon achieving the global goal. Cooperative game theory offers useful abstractions of cooperating agents via value funct…

I had an air filter attached to the rear of my #Kombi, and then I realized that I couldn't shift. One of the cords that I had used to secure the hepa filter was on the derailleur. It was an easy thing to fix, but it reminded me just how much I hate derailleurs (and any kind of external gears in general).

Gater Gitmo is to filter out workers for Trumps new Slavery policy where he sells them to businesses.
He says the farmers will be "owners" in this video
Make Americans Slaves Again
https://bsky.app/profile/fetchstep.bsky.social/post/3lszigsx…

We hereby announce the discontinuation of our e-mail newsletter, as the service we have been using until now is unable to filter out the proliferation of spam accounts. We apologize for the inconvenience, but this is why we cannot have nice things.
Subscribers will receive the last edition tomorrow as usual, but there won't be any other editions in the future. You are welcome to subscribe to our RSS feed instead.

The Rigidity of Constraint: A Spencer-Hodge Theoretic Approach to the Hodge Conjecture
Dongzhe Zheng
https://arxiv.org/abs/2506.12720 https://

The Rigidity of Constraint: A Spencer-Hodge Theoretic Approach to the Hodge Conjecture
This paper proposes a new theoretical perspective for studying the Hodge conjecture through an analytical framework based on constraint geometry. Our theory begins with a key observation: in compatible pair Spencer theory, a "differential degeneration" mechanism simplifies Spencer differential operators to classical exterior differential under specific algebraic conditions, bridging constraint geometry and de Rham cohomology. This bridge alone is insufficient to filter rare Hodge classes with a…

Filter Quotient Model Structures
Nima Rasekh
https://arxiv.org/abs/2508.07735 https://arxiv.org/pdf/2508.07735

Filter Quotient Model Structures
The filter quotient construction is a particular instance of a filtered colimit of categories. It has primarily been considered in the context of categorical logic, where it has been used effectively to construct non-trivial models, for example new models of set theory. In this work we prove that given a model category and a suitable notion of filter of subterminal objects, the filter quotient construction will preserve the model structure. We also show that this new model structure inherits …

This is the manifold typt thing that I am currently roughing together for the 2nd pump from the main pond.
The through pipe will go to the filter and the two offshoots will go to the bottom returns and side sorayers which are both meant to keep the water in the pond moving toward the pump bay and discourage settling on the bottom
#poolpond #diy #backyardproject

Mastodon users, beware!
Mastodon is under attack by scam bots which claim they are an admin and that your account has been suspended.
Don't believe the lies!
I've created a filter now so that next time I get such a message or reply or whatever it will be filtered behind the title I set for the filter which is:
"Verification Scam"
If you need help to create a filter I'll help you!

Starting to think about GPU acceleration of protocol decodes (rather than just basic math blocks) in ngscopeclient.
Here's the filter graph I'm thinking of using as a benchmark: dual lane QSGMII, 20M points per channel.
The filter graph takes 944 ms end to end to run on my box (2x Xeon 6144 2080 Ti).
Major time consumers:
* Eye pattern (~345 ms)
* QSGMII (~337 ms)
* CDR PLL (~310 ms)
* 8B10B (~160 ms)
* SGMII (~120 ms)
Note that the …

Another great Bochum #sunset today, this time with "Nature's filter" at the perfect density - ideal to bring out several sunspot groups (and foreground swifts): long series at https://www.facebook.com/dan.fischer.393/posts/pfbid0LpFcD4uuabA25huSMGhd77i5ASBcVMakmD28LrRX1bBd3ka8BcfwqEDEqAQvNeG6l with a bit of green at the very end.

A Systematic Particle Filter for Estimating Time-Varying Parameters in Advection-Diffusion Equations with Source Terms
Andrea Arnold
https://arxiv.org/abs/2508.12155 https://

A Systematic Particle Filter for Estimating Time-Varying Parameters in Advection-Diffusion Equations with Source Terms
Many real-world systems modeled using partial differential equations (PDEs) involve unknown parameters that must be estimated from limited, noisy system observations. While typically assumed to be constants, some of these unobserved parameters may vary with time. This work proposes a two-phase, offline-online numerical procedure for systematically estimating and quantifying uncertainty in time-varying parameters (TVPs) in time-dependent PDEs, specifically focusing on advection-diffusion models …

Lagrangian Simulation Volume-Based Contour Tree Simplification
Domantas Dilys, Hamish Carr, Steven Boeing
https://arxiv.org/abs/2508.14339 https://arxiv.or…

Lagrangian Simulation Volume-Based Contour Tree Simplification
Many scientific and engineering problems are modelled by simulating scalar fields defined either on space-filling meshes (Eulerian) or as particles (Lagrangian). For analysis and visualization, topological primitives such as contour trees can be used, but these often need simplification to filter out small-scale features. For parcel-based convective cloud simulations, simplification of the contour tree requires a volumetric measure rather than persistence. Unlike for cubic meshes, volume cannot…

Size Distributions of Arcsecond-Scale Properties of Solar Flare Ribbons
Yue Zhang, Rui Liu, Wensi Wang, Junyan Liu
https://arxiv.org/abs/2508.13015 https://

Size Distributions of Arcsecond-Scale Properties of Solar Flare Ribbons
Solar flare ribbons are believed to map the footpoints of newly reconnected magnetic flux tubes, therefore shedding light on the reconnecting current sheet, which is rarely observed by direct imaging or spectroscopy. Here we study the detailed evolution of flare ribbons down to the arcsecond scale for 10 flares characterized by the classic double ribbons. Identifying the flaring pixels by combining the intensity variances of the UV filter ratio and intensity threshold, we found that the waiting…

Evaluation of a Full Field Fluorescence Imager with Synchrotron Radiation
Piotr Maj, Grzegorz W. Deptuch, Dominik S. Gorni, Giovanni Pinaroli, Gabriella A. Carini, David P. Siddons, Ryan Tappero, Soumyajit Mandal, Donald Pinelli, Timothy Kersten, Nick St. John, Abdul K. Rumaiz, Anthony Kuczewski
https://arxiv.org/abs/2507.14425

Evaluation of a Full Field Fluorescence Imager with Synchrotron Radiation
The design and evaluation on the NSLS-II beamline of the 3FI application specific integrated circuit (ASIC) bump-bonded to a simply, planar, two-dimensionally segmented silicon sensor is presented. The ASIC was developed for Full-Field Fluorescence spectral X-ray Imaging (3FI). It is a small-scale prototype that features a square array of 32x32 pixels with a pitch of 100 μm. The ASIC was implemented in a 65 nm CMOS process. Each pixel incorporates a charge-sensitive amplifier, shaping filter, …

Low-Complexity Receiver Design for Affine Filter Bank Modulation
Kuranage Roche Rayan Ranasinghe, Bruno S. Chang, Giuseppe Thadeu Freitas de Abreu
https://arxiv.org/abs/2506.17010

Low-Complexity Receiver Design for Affine Filter Bank Modulation
We propose a low-complexity receiver structure for the recently introduced Affine Filter Bank Modulation (AFBM) scheme, which is a novel waveform designed for integrated sensing and communications (ISAC) systems operating in doubly-dispersive (DD) channels. The proposed receiver structure is based on the Gaussian Belief Propagation (GaBP) framework, making use of only element-wise scalar operations to perform detection of the transmitted symbols. Simulation results demonstrate that AFBM in conj…

XiYan-SQL: A Novel Multi-Generator Framework For Text-to-SQL
Yifu Liu, Yin Zhu, Yingqi Gao, Zhiling Luo, Xiaoxia Li, Xiaorong Shi, Yuntao Hong, Jinyang Gao, Yu Li, Bolin Ding, Jingren Zhou
https://arxiv.org/abs/2507.04701

XiYan-SQL: A Novel Multi-Generator Framework For Text-to-SQL
To leverage the advantages of LLM in addressing challenges in the Text-to-SQL task, we present XiYan-SQL, an innovative framework effectively generating and utilizing multiple SQL candidates. It consists of three components: 1) a Schema Filter module filtering and obtaining multiple relevant schemas; 2) a multi-generator ensemble approach generating multiple highquality and diverse SQL queries; 3) a selection model with a candidate reorganization strategy implemented to obtain the optimal SQL q…

Pedestrian Dead Reckoning using Invariant Extended Kalman Filter
Jingran Zhang, Zhengzhang Yan, Yiming Chen, Zeqiang He, Jiahao Chen
https://arxiv.org/abs/2508.11396 https://

Pedestrian Dead Reckoning using Invariant Extended Kalman Filter
This paper presents a cost-effective inertial pedestrian dead reckoning method for the bipedal robot in the GPS-denied environment. Each time when the inertial measurement unit (IMU) is on the stance foot, a stationary pseudo-measurement can be executed to provide innovation to the IMU measurement based prediction. The matrix Lie group based theoretical development of the adopted invariant extended Kalman filter (InEKF) is set forth for tutorial purpose. Three experiments are conducted to compa…

Just did a nice #mountainbike loop nearby. My wife wanted to test her strength and endurance, especially with her new bike.
Well, it was a great ride! She did super well and I was surprised about how well it was for me, too!
Ohh and despite being doupt full at the start, I was super happy that I brought my water filter to refill my bottle during the ride!

Rather surprised to see the performance scaling of nftables is so bad compared to iptables, especially as many distros switched to nftables by default some time ago.
I do understand that synthetic benchmarks of firewalls are difficult, and that you are supposed to use the advanced features of nftables (e.g. sets, maps) to express the same filter in fewer rules.
h…

PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning
Xiangman Li, Xiaodong Wu, Jianbing Ni, Mohamed Mahmoud, Maazen Alsabaan
https://arxiv.org/abs/2506.15112

PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning
Decentralized learning is vulnerable to poison attacks, where malicious clients manipulate local updates to degrade global model performance. Existing defenses mainly detect and filter malicious models, aiming to prevent a limited number of attackers from corrupting the global model. However, restoring an already compromised global model remains a challenge. A direct approach is to remove malicious clients and retrain the model using only the benign clients. Yet, retraining is time-consuming, c…

Filter Equivariant Functions: A symmetric account of length-general extrapolation on lists
Owen Lewis, Neil Ghani, Andrew Dudzik, Christos Perivolaropoulos, Razvan Pascanu, Petar Veli\v{c}kovi\'c
https://arxiv.org/abs/2507.08796

Filter Equivariant Functions: A symmetric account of length-general extrapolation on lists
What should a function that extrapolates beyond known input/output examples look like? This is a tricky question to answer in general, as any function matching the outputs on those examples can in principle be a correct extrapolant. We argue that a "good" extrapolant should follow certain kinds of rules, and here we study a particularly appealing criterion for rule-following in list functions: that the function should behave predictably even when certain elements are removed. In functional prog…

Sample-Constrained Black Box Optimization for Audio Personalization
Rajalaxmi Rajagopalan, Yu-Lin Wei, Romit Roy Choudhury
https://arxiv.org/abs/2507.12773

Sample-Constrained Black Box Optimization for Audio Personalization
We consider the problem of personalizing audio to maximize user experience. Briefly, we aim to find a filter $h^*$, which applied to any music or speech, will maximize the user's satisfaction. This is a black-box optimization problem since the user's satisfaction function is unknown. Substantive work has been done on this topic where the key idea is to play audio samples to the user, each shaped by a different filter $h_i$, and query the user for their satisfaction scores $f(h_i)$. A family of …

Multi-fidelity Ensemble Kalman Filter algorithms enhanced by Convolutional Neural Networks
Tom Moussie, Paolo Errante, Marcello Meldi
https://arxiv.org/abs/2507.13744

Multi-fidelity Ensemble Kalman Filter algorithms enhanced by Convolutional Neural Networks
The present research work proposes advancement for Data Assimilation strategies using Convolutional Neural Networks (CNN). More precisely, multi-fidelity and multi-level algorithms for the Ensemble Kalman Filter are enhanced by CNN tools, with the objective to reduce the discrepancy in the prediction between ensemble realizations performed with different models. The proposed methodology is assessed via the analysis of the flow through a cascade of NACA 0012 profiles for Reynolds $Re=1\,000$ and…

Tonight's quick ngscopeclient dev fix: GPU accelerating the demo scope.
It now runs quite a few times faster than before (and is faster to process subsequent filter blocks on, since the input data is now GPU resident).
Not super critical but a nice quality-of-life fix since I use the demo scope as a data source for development pretty often.

Distributed Multiple Fault Detection and Estimation in DC Microgrids with Unknown Power Loads
Jingwei Dong, Mahdieh S. Sadabadi, Per Mattsson, Andr\'e Teixeira
https://arxiv.org/abs/2508.14675

Distributed Multiple Fault Detection and Estimation in DC Microgrids with Unknown Power Loads
This paper proposes a distributed diagnosis scheme to detect and estimate actuator and power line faults in DC microgrids subject to unknown power loads and stochastic noise. To address actuator faults, we design a fault estimation filter whose parameters are determined through a tractable optimization problem to achieve fault estimation, decoupling from power line faults, and robustness against noise. In contrast, the estimation of power line faults poses greater challenges due to the inherent…

Mitigating Filter Bubble from the Perspective of Community Detection: A Universal Framework
Ming Tang, Xiaowen Huang, Jitao Sang
https://arxiv.org/abs/2508.11239 https://…

Mitigating Filter Bubble from the Perspective of Community Detection: A Universal Framework
In recent years, recommender systems have primarily focused on improving accuracy at the expense of diversity, which exacerbates the well-known filter bubble effect. This paper proposes a universal framework called CD-CGCN to address the filter bubble issue in recommender systems from a community detection perspective. By analyzing user-item interaction histories with a community detection algorithm, we reveal that state-of-the-art recommendations often focus on intra-community items, worsening…

Physics constrained learning of stochastic characteristics
Pardha Sai Krishna Ala, Ameya Salvi, Venkat Krovi, Matthias Schmid
https://arxiv.org/abs/2507.12661

Physics constrained learning of stochastic characteristics
Accurate state estimation requires careful consideration of uncertainty surrounding the process and measurement models; these characteristics are usually not well-known and need an experienced designer to select the covariance matrices. An error in the selection of covariance matrices could impact the accuracy of the estimation algorithm and may sometimes cause the filter to diverge. Identifying noise characteristics has long been a challenging problem due to uncertainty surrounding noise sourc…

Wishful thinking is so powerful.
The docs for #Postfix's headers_checks are explicit & clear: it operates on 1 logical header line at a time, preserving no state across lines. There’s no way to combine rules logically operating on 2 different headers. The man page & the BUILTIN_FILTER_README file are clear: it is unfit for general filtering.
At least monthly someone pops up…

Consistent Pose Estimation of Unmanned Ground Vehicles through Terrain-Aided Multi-Sensor Fusion on Geometric Manifolds
Alexander Raab, Stephan Weiss, Alessandro Fornasier, Christian Brommer, Abdalrahman Ibrahim
https://arxiv.org/abs/2508.14661

Consistent Pose Estimation of Unmanned Ground Vehicles through Terrain-Aided Multi-Sensor Fusion on Geometric Manifolds
Aiming to enhance the consistency and thus long-term accuracy of Extended Kalman Filters for terrestrial vehicle localization, this paper introduces the Manifold Error State Extended Kalman Filter (M-ESEKF). By representing the robot's pose in a space with reduced dimensionality, the approach ensures feasible estimates on generic smooth surfaces, without introducing artificial constraints or simplifications that may degrade a filter's performance. The accompanying measurement models are compati…

Wide Area Linear Optical Polarimeter Control Software
John A. Kypriotakis, Bhushan Joshi, Dmitry Blinov, Sebastian Kiehlmann, Ramya M. Anche, Ioannis Liodakis, Myrto Falalaki, Tuhin Ghosh, Eirik Gjerl{\o}w, Siddharth Maharana, Nikolaos Mandarakas, Georgia V. Panopoulou, Katerina Papadaki, Vasiliki Pavlidou, Timothy J. Pearson, Vincent Pelgrims, Stephen B. Potter, Chaitanya V. Rajarshi, A. N. Ramaprakash, Anthony C. S. Readhead, Raphael Skalidis, Konstantinos Tassis

Wide Area Linear Optical Polarimeter Control Software
The WALOPControl software is designed to facilitate comprehensive control and operation of the WALOP (Wide Area Linear Optical Polarimeter) polarimeters, ensuring safe and concurrent management of various instrument components and functionalities. This software encompasses several critical requirements, including control of the filter wheel, calibration half-wave plate, calibration polarizer, guider positioning, focusers, and 4 concurrent CCD cameras. It also manages the host telescope and dome…

A Novel Domain-Aware CNN Architecture for Faster-than-Nyquist Signaling Detection
Osman Tokluoglu, Enver Cavus, Ebrahim Bedeer, Halim Yanikomeroglu
https://arxiv.org/abs/2507.15291

A Novel Domain-Aware CNN Architecture for Faster-than-Nyquist Signaling Detection
This paper proposes a convolutional neural network (CNN)-based detector for faster-than-Nyquist (FTN) signaling that employs structured fixed kernel layers with domain-informed masking to mitigate intersymbol interference (ISI). Unlike standard CNNs with sliding kernels, the proposed method utilizes fixed-position kernels to directly capture ISI effects at varying distances from the central symbol. A hierarchical filter allocation strategy is also introduced, assigning more filters to earlier l…

Hashed Watermark as a Filter: Defeating Forging and Overwriting Attacks in Weight-based Neural Network Watermarking
Yuan Yao, Jin Song, Jian Jin
https://arxiv.org/abs/2507.11137

Hashed Watermark as a Filter: Defeating Forging and Overwriting Attacks in Weight-based Neural Network Watermarking
As valuable digital assets, deep neural networks necessitate robust ownership protection, positioning neural network watermarking (NNW) as a promising solution. Among various NNW approaches, weight-based methods are favored for their simplicity and practicality; however, they remain vulnerable to forging and overwriting attacks. To address those challenges, we propose NeuralMark, a robust method built around a hashed watermark filter. Specifically, we utilize a hash function to generate an irre…

With the 5th #AAS246 presser come the paper https://arxiv.org/abs/2506.07262 (ALMA-JELLY I: High Resolution CO(2-1) Observations of Ongoing Ram Pressure Stripping in NGC 4858 Reveal Asymmetrical Gas Tail Formation and Fallback), the press release https://news.arizona.edu/news/belly-beast-massive-clumps-reveal-star-factories-bygone-era-cosmos (In the belly of the beast: massive clumps reveal star factories from a bygone era of the cosmos) and the papers https://iopscience.iop.org/article/10.3847/1538-4357/ada8a6 (UNCOVERing the Faint End of the z ∼ 7 [O iii] Luminosity Function with JWST's F410M Medium Bandpass Filter) with the press release https://science.nasa.gov/missions/webb/nasas-webb-uncovers-galaxy-population-driving-cosmic-renovation/ and https://arxiv.org/abs/2505.06198 (The "Dark-Matter Dominated" Galaxy Segue 1 Modeled with a Black Hole and no Dark Halo) with the press release https://www.utsa.edu/today/2025/06/story/researchers-offer-alternative-to-dark-matter-model.html

i've also drained both the filter and the pump bay. The blueberries are getting a very good drink today. 🫐
I probably won't circulate water through the stream again until I get the main pond weighed down with rock on the bottom. I wanted to try to start building the rock lining around the wall of the main pond to see if it would hold and be sufficient.
But I might just let the bottom of the pond dry out completely. It's going to be nice and warm again the next couple days so it is best for it to let it dry out and harden up.
#poolpond #backyardProject #diy

Few-MHz bandwidth tunable optical filter based on a fiber-ring resonator
Gabriele Maron, Anton B\"olian, Xin-Xin Hu, Luke Masters, Arno Rauschenbeutel, J\"urgen Volz
https://arxiv.org/abs/2506.11953

Few-MHz bandwidth tunable optical filter based on a fiber-ring resonator
We present a fiber-ring resonator that realizes an ultra-narrowband, high-extinction, low-loss, tunable optical filter. It consists of a pair of commercial variable ratio directional couplers that allow precise adjustment of the filter bandwidth and its on-resonance transmission. This design also grants access to multiple modes of operation, such as a simultaneous band-stop and band-pass filter. Our characterization reveals a bandwidth of less than 2 MHz, together with an extinction exceeding 2…

Rather surprised to see the performance scaling of nftables is so bad compared to iptables, especially as many distros switched to nftables by default some time ago.
I do understand that synthetic benchmarks of firewalls are difficult, and that you are supposed to use the advanced features of nftables (e.g. sets, maps) to express the same filter in fewer rules.
h…

An Enhanced Audio Feature Tailored for Anomalous Sound Detection Based on Pre-trained Models
Guirui Zhong, Qing Wang, Jun Du, Lei Wang, Mingqi Cai, Xin Fang
https://arxiv.org/abs/2508.15334

An Enhanced Audio Feature Tailored for Anomalous Sound Detection Based on Pre-trained Models
Anomalous Sound Detection (ASD) aims at identifying anomalous sounds from machines and has gained extensive research interests from both academia and industry. However, the uncertainty of anomaly location and much redundant information such as noise in machine sounds hinder the improvement of ASD system performance. This paper proposes a novel audio feature of filter banks with evenly distributed intervals, ensuring equal attention to all frequency ranges in the audio, which enhances the detect…

Multi-Scale Data Assimilation in Turbulent Models
Francesco Fossella, Luca Biferale, Alberto Carrassi, Massimo Cencini, Vikrant Gupta
https://arxiv.org/abs/2507.15626 https://…

Multi-Scale Data Assimilation in Turbulent Models
We explore the potential of Data-Assimilation (DA) within the multi-scale framework of a shell model of turbulence, with a focus on the Ensemble Kalman Filter (EnKF). The central objective is to understand how measuring mesoscales (i.e., inertial-range scales) enhances the prediction of both large-scale and small-scale intermittent variables, by systematically varying observation frequency and the set of measured scales. We demonstrate that measurements conducted at frequencies that exceed thos…

Spatially tailored spin wave excitation for spurious-free, low-loss magnetostatic wave filters with ultra-wide frequency tunability
Shuxian Wu, Shun Yao, Xingyu Du, Chin-Yu Chang, Roy H. Olsson III
https://arxiv.org/abs/2507.14469

Spatially tailored spin wave excitation for spurious-free, low-loss magnetostatic wave filters with ultra-wide frequency tunability
Yttrium iron garnet magnetostatic wave (MSW) radio frequency (RF) cavity filters are promising for sixth-generation (6G) communication systems due to their wide frequency tunability. However, the presence of severe spurious modes arising from the finite cavity dimensions severely degrades the filter performance. We present a half-cone transducer that spatially tailors spin wave excitation to selectively enhance the primary cavity modes comprising the MSW filter passband, while strongly suppress…

Geometry-Aware Predictive Safety Filters on Humanoids: From Poisson Safety Functions to CBF Constrained MPC
Ryan M. Bena, Gilbert Bahati, Blake Werner, Ryan K. Cosner, Lizhi Yang, Aaron D. Ames
https://arxiv.org/abs/2508.11129

Geometry-Aware Predictive Safety Filters on Humanoids: From Poisson Safety Functions to CBF Constrained MPC
Autonomous navigation through unstructured and dynamically-changing environments is a complex task that continues to present many challenges for modern roboticists. In particular, legged robots typically possess manipulable asymmetric geometries which must be considered during safety-critical trajectory planning. This work proposes a predictive safety filter: a nonlinear model predictive control (MPC) algorithm for online trajectory generation with geometry-aware safety constraints based on con…

Hmmmm… here is a problem I did not anticipate.
Every time I empty the main pond hole of water, (the actual hole under the liner) water returns within an hour or two. I’ve done it 4 times now, and it keeps filling back up with water.
Obviously there is water underground infiltrating into the pond hole, and/or the water table itself is above the bottom of the hole. It is not coming from either of the other holes because they both have the same amount of water in them as they did this morning.
I have “watered” the blueberry patch and hazelnut tree a lot with the water that I have been cleaning the filter with… and we also had lots of water flying around outside the liners yesterday as I tested the pump. So it is quite possible that the ground around the pond is simply well saturated.
I think I am going to have to just keep removing the water (and putting it into the sewer) until it does not refill. We have a week of hot weather coming. Surely that will be enough time for everything to dry out completely.
Otherwise I might run into some issues if the rains return before I can anchor down the pond liner with gravel and get the plumbing in!
How is time already running short!?
Never underestimate the ability of water to find a place where it is not wanted. 😆
#poolpond #backyardProject #diy

Generation of frequency-bin-encoded dual-rail cluster states via time-frequency multiplexing of microwave photonic qubits
Zhiling Wang, Takeaki Miyamura, Yoshiki Sunada, Keika Sunada, Jesper Ilves, Kohei Matsuura, Yasunobu Nakamura
https://arxiv.org/abs/2508.10990

Generation of frequency-bin-encoded dual-rail cluster states via time-frequency multiplexing of microwave photonic qubits
Cluster states are a class of multi-qubit entangled states with broad applications such as quantum metrology and one-way quantum computing. Here, we present a protocol to generate frequency-bin-encoded dual-rail cluster states using a superconducting circuit consisting of a fixed-frequency transmon qubit, a resonator and a Purcell filter. We implement time-frequency multiplexing by sequentially emitting co-propagating microwave photons of distinct frequencies. The frequency-bin dual-rail encodi…

Nonlinear Distortion Equalization in Multi-Span Optical Links Via a Feed-Forward Photonic Neural Network
Emiliano Staffoli, Elisabetta Ferri, Stefano Gretter, Lorenzo Pavesi
https://arxiv.org/abs/2507.13775

Nonlinear Distortion Equalization in Multi-Span Optical Links Via a Feed-Forward Photonic Neural Network
Linear and nonlinear distortions in optical communication signals are equalized using an integrated feed-forward Photonic Neural Network (PNN). The PNN is based on a linear stage made of an 8-tap Finite Impulse Response (FIR) filter, featuring tunable amplitude and phase weights at each tap, and of a nonlinear stage achieved through the square modulus operation at the end-of-line photodetector. Within an Intensity Modulation/Direct Detection (IMDD) system, the PNN is applied to 2-level Pulse Am…

Context Misleads LLMs: The Role of Context Filtering in Maintaining Safe Alignment of LLMs
Jinhwa Kim, Ian G. Harris
https://arxiv.org/abs/2508.10031 https://

Context Misleads LLMs: The Role of Context Filtering in Maintaining Safe Alignment of LLMs
While Large Language Models (LLMs) have shown significant advancements in performance, various jailbreak attacks have posed growing safety and ethical risks. Malicious users often exploit adversarial context to deceive LLMs, prompting them to generate responses to harmful queries. In this study, we propose a new defense mechanism called Context Filtering model, an input pre-processing method designed to filter out untrustworthy and unreliable context while identifying the primary prompts contai…

Algorithm Design and Comparative Test of Natural Gradient Gaussian Approximation Filter
Wenhan Cao, Tianyi Zhang, Shengbo Eben Li
https://arxiv.org/abs/2507.11872

Algorithm Design and Comparative Test of Natural Gradient Gaussian Approximation Filter
Popular Bayes filters typically rely on linearization techniques such as Taylor series expansion and stochastic linear regression to use the structure of standard Kalman filter. These techniques may introduce large estimation errors in nonlinear and non-Gaussian systems. This paper overviews a recent breakthrough in filtering algorithm design called \textit{N}atural Gr\textit{a}dient Gaussia\textit{n} Appr\textit{o}ximation (NANO) filter and compare its performance over a large class of nonline…

The log viewer in ngscopeclient now includes a graphical interface to logtools filters, allowing you to filter by severity and turn high-verbosity tracing on/off for specific classes and functions.

Multi-IMU Sensor Fusion for Legged Robots
Shuo Yang, John Z. Zhang, Ibrahima Sory Sow, Zachary Manchester
https://arxiv.org/abs/2507.11447 https://

Multi-IMU Sensor Fusion for Legged Robots
This paper presents a state-estimation solution for legged robots that uses a set of low-cost, compact, and lightweight sensors to achieve low-drift pose and velocity estimation under challenging locomotion conditions. The key idea is to leverage multiple inertial measurement units on different links of the robot to correct a major error source in standard proprioceptive odometry. We fuse the inertial sensor information and joint encoder measurements in an extended Kalman filter, then combine t…

Recursive Gaussian Process Regression with Integrated Monotonicity Assumptions for Control Applications
Ricus Husmann, Sven Weishaupt, Harald Aschemann
https://arxiv.org/abs/2508.14715

Recursive Gaussian Process Regression with Integrated Monotonicity Assumptions for Control Applications
In this paper, we present an extension to the recursive Gaussian Process (RGP) regression that enables the satisfaction of inequality constraints and is well suited for a real-time execution in control applications. The soft inequality constraints are integrated by introducing an additional extended Kalman Filter (EKF) update step using pseudo-measurements. The sequential formulation of the algorithm and several developed heuristics ensure both the performance and a low computational effort of …

#poolpond #backyardProject #diy
I spent the morning cleaning out the big pond. Lots of dirt and gunk and water had accumulated in the bottom over the past months. A combination of the little sump pump and a shop vac cleaned that all out.
But more concerning was the fact that when I walked down into the pond, it was mushy. There was obviously water underneath the liner.
I just pulled back the liner to reveal the water that had gotten under. It is likely that this water is from the overflow when I was testing the filter. It could be from a little bit of rainfall, but I doubt it.
There was a lot of water washing around the yard yesterday as I was figuring out the filter and the stream and overflowing areas so I am sure it got in that way.
Not a big problem. Just some more water to move with the little pump.
I am more concerned about the fact that a horsefly landed on me twice in the past hour. Devils they are.

Fixed a recently reported, asan-caught UaF in ngscopeclient earlier today when loading session files containing a protocol analyzer.
Apparently the analyzer never called AddRef() / Release() on the filter and could thus outlive it.
Yet another reason why the planned refactoring of filter ownership to use std::shared_ptr's rather than manual hand refcounting can't come soon enough. Just need to ship v0.1 first...

Invariant Extended Kalman Filter for Autonomous Surface Vessels with Partial Orientation Measurements
Derek Benham, Easton Potokar, Joshua G. Mangelson
https://arxiv.org/abs/2506.10850

Invariant Extended Kalman Filter for Autonomous Surface Vessels with Partial Orientation Measurements
Autonomous surface vessels (ASVs) are increasingly vital for marine science, offering robust platforms for underwater mapping and inspection. Accurate state estimation, particularly of vehicle pose, is paramount for precise seafloor mapping, as even small surface deviations can have significant consequences when sensing the seafloor below. To address this challenge, we propose an Invariant Extended Kalman Filter (InEKF) framework designed to integrate partial orientation measurements. While con…

Higher-Order Harmonics Reduction in Reset-Based Control Systems: Application to Precision Positioning Systems
S. Ali Hosseini, Nima Karbasizadeh, S. Hassan HosseiniNia
https://arxiv.org/abs/2507.04707

Higher-Order Harmonics Reduction in Reset-Based Control Systems: Application to Precision Positioning Systems
To address the limitations imposed by Bode's gain-phase relationship in linear controllers, a reset-based filter called the Constant in gain- Lead in phase (CgLp) filter has been introduced. This filter consists of a reset element and a linear lead filter. However, the sequencing of these two components has been a topic of debate. Positioning the lead filter before the reset element in the loop leads to noise amplification in the reset signal, whereas placing the lead filter after the reset ele…

Bridging Data-Driven and Physics-Based Models: A Consensus Multi-Model Kalman Filter for Robust Vehicle State Estimation
Farid Mafi (University of Waterloo, Waterloo, Canada), Ladan Khoshnevisan (University of Waterloo, Waterloo, Canada), Mohammad Pirani (University of Ottawa, Ottawa, Canada), Amir Khajepour (University of Waterloo, Waterloo, Canada)

Bridging Data-Driven and Physics-Based Models: A Consensus Multi-Model Kalman Filter for Robust Vehicle State Estimation
Vehicle state estimation presents a fundamental challenge for autonomous driving systems, requiring both physical interpretability and the ability to capture complex nonlinear behaviors across diverse operating conditions. Traditional methodologies often rely exclusively on either physics-based or data-driven models, each with complementary strengths and limitations that become most noticeable during critical scenarios. This paper presents a novel consensus multi-model Kalman filter framework t…

Model-based Multi-object Visual Tracking: Identification and Standard Model Limitations
Jan Krej\v{c}\'i, Oliver Kost, Yuxuan Xia, Lennart Svensson, Ond\v{r}ej Straka
https://arxiv.org/abs/2508.13647

Model-based Multi-object Visual Tracking: Identification and Standard Model Limitations
This paper uses multi-object tracking methods known from the radar tracking community to address the problem of pedestrian tracking using 2D bounding box detections. The standard point-object (SPO) model is adopted, and the posterior density is computed using the Poisson multi-Bernoulli mixture (PMBM) filter. The selection of the model parameters rooted in continuous time is discussed, including the birth and survival probabilities. Some parameters are selected from the first principles, while …