Tootfinder

On the Capacities Associated with Local Muckenhoupt Weights
Keng Hao Ooi
https://arxiv.org/abs/2404.06810 https://arxiv.org/pdf/2404.…

On the Capacities Associated with Local Muckenhoupt Weights
We develop a theory of capacities associated with local Muckenhoupt weights. Fundamental properties of local Muckenhoupt weights will be revisited. Weak type boundedness of nonlinear potential and capacitary strong type inequalities associated with such weights will be addressed. The boundedness of the local maximal function on the spaces of Choquet integrals associated with such weighted capacities will be justified as an application of the theory. We also address on the thinness of sets with …

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Moreover, its contributions to neurological health are noteworthy. Biotin emerges as an ally in maintaining cognitive function and mood regulation, underscoring the importance of nutrients in brain health. Its efficacy in alleviating symptoms of conditions like multiple sclerosis illustrates its powerful neuroprotective capacities.

This https://arxiv.org/abs/2404.02723 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIT_…

Deterministic Identification Codes for Fading Channels
Many communication applications incorporate event-triggered behavior, where the conventional Shannon capacity may not effectively gauge performance. Consequently, we advocate for the concept of identification capacity as a more suitable metric for assessing these systems. We consider deterministic identification codes for the Gaussian AWGN, the slow fading, and the fast fading channels with power constraints. We prove lower bounds on capacities for the slow and the fast fading channels with sid…

Popularity and Perfectness in One-sided Matching Markets with Capacities
Gergely Cs\'aji
https://arxiv.org/abs/2403.00598 https://

Popularity and Perfectness in One-sided Matching Markets with Capacities
We consider many-to-one matching problems, where one side corresponds to applicants who have preferences and the other side to houses who do not have preferences. We consider two different types of this market: one, where the applicants have capacities, and one where the houses do. First, we answer an open question by Manlove and Sng (2006) (partly solved Paluch (2014) for preferences with ties), that is, we show that deciding if a popular matching exists in the house allocation problem, where …

Finding Stable Price Zones in European Electricity Markets: Aiming to Square the Circle?
Teodora Dobos, Martin Bichler, Johannes Kn\"orr
https://arxiv.org/abs/2404.06489

Finding Stable Price Zones in European Electricity Markets: Aiming to Square the Circle?
The European day-ahead electricity market is split into multiple bidding zones. Within these zones, a uniform energy price is computed for each hour. Large bidding zones have been under scrutiny. The fact that zonal clearing ignores the transmission capacities within zones and the increase in renewables lead to a growing number of interventions in the generation of energy sources and large redispatch costs. The European Union Agency for the Cooperation of Energy Regulators (ACER) proposed alter…

This https://arxiv.org/abs/2312.17719 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Quantum convolutional channels and multiparameter families of 2-unitary matrices
Many alternative approaches to construct quantum channels with large entangling capacities were proposed in the past decade, resulting in multiple isolated gates. In this work, we put forward a novel one, inspired by convolution, which provides greater freedom of nonlocal parameters. Although quantum counterparts of convolution have been shown not to exist for pure states, several attempts with various degrees of rigorousness have been proposed for mixed states. In this work, we follow the appr…

Phases Transition Mechanism in the Growth of WS2 and MoS2 Layers: Ab Initio Data Driving Machine Learning Molecular Dynamics
Luneng Zhao, Junfeng Gao, Xiaoran Shi, Hongsheng Liu, Jijun Zhao, Feng Ding
https://arxiv.org/abs/2405.04939

Phases Transition Mechanism in the Growth of WS2 and MoS2 Layers: Ab Initio Data Driving Machine Learning Molecular Dynamics
Accurate and large-scale atomic simulation is crucial for understanding growth mechanism and precise synthesis control of crystals. However, it is beyond the capacities of both ab initio and classical molecular dynamics (MD). This study takes a feasible way by developing ab initio data to accurate machine learning interatomic potentials (MLIPs) to explore the complex growth processes. It successfully simulated the growth of monolayer, bilayer MoS$_2$/WS$_2$ and MoS$_2$/WS$_2$ heterostructures u…

This https://arxiv.org/abs/2309.06174 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Relating Electric Vehicle Charging to Speed Scaling with Job-Specific Speed Limits
Due to the ongoing electrification of transport in combination with limited power grid capacities, efficient ways to schedule the charging of electric vehicles (EVs) are needed for the operation of, for example, large parking lots. Common approaches such as model predictive control repeatedly solve a corresponding offline problem. In this work, we first present and analyze the Flow-based Offline Charging Scheduler (FOCS), an offline algorithm to derive an optimal EV charging schedule for a flee…

Optimized Non-Primary Channel Access Design in IEEE 802.11bn
Dongyu Wei, Liu Cao, Lyutianyang Zhang, Xiangyu Gao, Hao Yin
https://arxiv.org/abs/2405.00227 …

Optimized Non-Primary Channel Access Design in IEEE 802.11bn
The IEEE 802.11 standards, culminating in IEEE 802.11be (Wi-Fi 7), have significantly expanded bandwidth capacities from 20 MHz to 320 MHz, marking a crucial evolution in wireless access technology. Despite these advancements, the full potential of these capacities remains largely untapped due to inefficiencies in channel management, in particular, the underutilization of secondary (non-primary) channels when the primary channel is occupied. This paper delves into the Non-Primary Channel Access…

Novel_Authentication_Protocols_Tailored_for_Ambient_IoT_Devices_in_3GPP_5G_Networks
Xiongpeng Ren, Jin Cao, Hui Li, Yinghui Zhang
https://arxiv.org/abs/2404.02425

Novel_Authentication_Protocols_Tailored_for_Ambient_IoT_Devices_in_3GPP_5G_Networks
AIoT devices have attracted significant attention within the 3GPP organization. These devices, distinguished from conventional IoT devices, do not rely on additional batteries or have extremely small battery capacities, offering features such as low cost, easy deployment, and maintenance-free operation. Authentication and secure transmission are fundamental security requirements for AIoT devices. However, existing standard security mechanisms are not specifically designed for AIoT devices due t…

This https://arxiv.org/abs/2404.14232 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

Shifting Focus with HCEye: Exploring the Dynamics of Visual Highlighting and Cognitive Load on User Attention and Saliency Prediction
Visual highlighting can guide user attention in complex interfaces. However, its effectiveness under limited attentional capacities is underexplored. This paper examines the joint impact of visual highlighting (permanent and dynamic) and dual-task-induced cognitive load on gaze behaviour. Our analysis, using eye-movement data from 27 participants viewing 150 unique webpages reveals that while participants' ability to attend to UI elements decreases with increasing cognitive load, dynamic adapta…

Asymmetric Feature Fusion for Image Retrieval
Hui Wu, Min Wang, Wengang Zhou, Zhenbo Lu, Houqiang Li
https://arxiv.org/abs/2403.00671 https://

Asymmetric Feature Fusion for Image Retrieval
In asymmetric retrieval systems, models with different capacities are deployed on platforms with different computational and storage resources. Despite the great progress, existing approaches still suffer from a dilemma between retrieval efficiency and asymmetric accuracy due to the limited capacity of the lightweight query model. In this work, we propose an Asymmetric Feature Fusion (AFF) paradigm, which advances existing asymmetric retrieval systems by considering the complementarity among di…

This https://arxiv.org/abs/2402.11553 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csMA_…

On the Limits of Information Spread by Memory-less Agents
We address the self-stabilizing bit-dissemination problem, designed to capture the challenges of spreading information and reaching consensus among entities with minimal cognitive and communication capacities. Specifically, a group of $n$ agents is required to adopt the correct opinion, initially held by a single informed individual, choosing from two possible opinions. In order to make decisions, agents are restricted to observing the opinions of a few randomly sampled agents, and lack the abi…

This https://arxiv.org/abs/2302.01815 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csGT_…

Optimal Capacity Modification for Many-To-One Matching Problems
We consider many-to-one matching problems, where one side consists of students and the other side of schools with capacity constraints. We study how to optimally increase the capacities of the schools so as to obtain a stable and perfect matching (i.e., every student is matched) or a matching that is stable and Pareto-efficient for the students. We consider two common optimality criteria, one aiming to minimize the sum of capacity increases of all schools (abbrv. as MinSum) and the other aiming…

Shift of strikes to Pou Chen's factories in southeast Asia underscores need for support in unions' collective bargaining | China Labour Bulletin
https://clb.org.hk/en/content/shift-strikes-pou-chens-factories-…

Enhancing Sum-Rate Performance in Constrained Multicell Networks: A Low-Information Exchange Approach
Youjin Kim, Jonggyu Jang, Hyun Jong Yang
https://arxiv.org/abs/2404.02477

Enhancing Sum-Rate Performance in Constrained Multicell Networks: A Low-Information Exchange Approach
Despite the extensive research on massive MIMO systems for 5G telecommunications and beyond, the reality is that many deployed base stations are equipped with a limited number of antennas rather than supporting massive MIMO configurations. Furthermore, while the cell-less network concept, which eliminates cell boundaries, is under investigation, practical deployments often grapple with significantly limited backhaul connection capacities between base stations. This letter explores techniques to…

Classifying Triebel-Lizorkin capacities in metric spaces
Juha Lehrb\"ack, Kaushik Mohanta, Antti V. V\"ah\"akangas
https://arxiv.org/abs/2403.12513

Classifying Triebel-Lizorkin capacities in metric spaces
We study non-local or fractional capacities in metric measure spaces. Our main goal is to clarify the relations between relative Hajlasz-Triebel-Lizorkin capacities, potentional Triebel-Lizorkin capacities, and metric space variants of Riesz capacities. As an application of our results, we obtain a characterization of a Hajlasz-Triebel-Lizorkin capacity density condition, which is based on an earlier characterization of a Riesz capacity density condition in terms of Hausdorff contents.

This https://arxiv.org/abs/2212.07078 has been replaced.
link: https://scholar.google.com/scholar?q=a

A Predictive Operation Controller for an Electro-Thermal Microgrid Utilizing Variable Flow Temperatures
We propose an optimal operation control strategy for an electro-thermal microgrid. Compared to existing work, our approach increases flexibility by operating the thermal network with variable flow temperatures and in that way explicitly exploits its inherent storage capacities. To this end, the microgrid is represented by a multi-layer network composed of an electrical and a thermal layer. We show that the system behavior can be represented by a discrete-time state model derived from DC power f…

Large language models surpass human experts in predicting neuroscience results
Xiaoliang Luo, Akilles Rechardt, Guangzhi Sun, Kevin K. Nejad, Felipe Y\'a\~nez, Bati Yilmaz, Kangjoo Lee, Alexandra O. Cohen, Valentina Borghesani, Anton Pashkov, Daniele Marinazzo, Jonathan Nicholas, Alessandro Salatiello, Ilia Sucholutsky, Pasquale Minervini, Sepehr Razavi, Roberta Rocca, Elkhan Yusifov, Tereza Okalova, Nianlong Gu, Martin Ferianc, Mikail Khona, Kaustubh R. Patil, Pui-Shee Lee, Rui Ma…

Large language models surpass human experts in predicting neuroscience results
Scientific discoveries often hinge on synthesizing decades of research, a task that potentially outstrips human information processing capacities. Large language models (LLMs) offer a solution. LLMs trained on the vast scientific literature could potentially integrate noisy yet interrelated findings to forecast novel results better than human experts. To evaluate this possibility, we created BrainBench, a forward-looking benchmark for predicting neuroscience results. We find that LLMs surpass e…

An improved lower bound on the Shannon capacities of complements of odd cycles
Daniel G. Zhu
https://arxiv.org/abs/2402.10025 https://

An improved lower bound on the Shannon capacities of complements of odd cycles
Improving a 2003 result of Bohman and Holzman, we show that for $n \geq 1$, the Shannon capacity of the complement of the $2n+1$-cycle is at least $(2^{r_n} + 1)^{1/r_n} = 2 + Ω(2^{-r_n}/r_n)$, where $r_n = \exp(O((\log n)^2))$ is the number of partitions of $2(n-1)$ into powers of $2$.

Text of the above video:
"Shutdowns are often the result of someone feeling so frustrated that they could melt down, but knowing that to do so would be even worse, but that they can avoid dealing with other people’s reactions to that if they manage to stay in control enough to do nothing but bottle it up.
Whichever way they go, meltdowns and shutdowns take a huge mental and physical toll, and require substantial recovery time. Some autistic people report feeling their after-effects for days afterwards, and in some cases losing abilities they previously had for even longer.
Autistic burnout is something like a long-term counterpart to a shutdown: the cumulative effects of pushing beyond your capacities for too long, usually because you don’t feel like you have much of a choice. Society demands that we carry on, however hard it is – often while insisting that it’s easy, and we’re surely just not really trying. At some point, we just… can’t, any more. We find ourselves perpetually exhausted, our cognitive abilities chronically impaired – often with heightened sensitivities and a reduced a ability to socialise."
From https://monotropism.org/wellbeing/

This https://arxiv.org/abs/2302.01815 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csGT_…

Optimal Capacity Modification for Many-To-One Matching Problems
We consider many-to-one matching problems, where one side consists of students and the other side of schools with capacity constraints. We study how to optimally increase the capacities of the schools so as to obtain a stable and perfect matching (i.e., every student is matched) or a matching that is stable and Pareto-efficient for the students. We consider two common optimality criteria, one aiming to minimize the sum of capacity increases of all schools (abbrv. as MinSum) and the other aiming…

$\texttt{MiniMol}$: A Parameter-Efficient Foundation Model for Molecular Learning
Kerstin Kl\"aser, B{\l}a\.zej Banaszewski, Samuel Maddrell-Mander, Callum McLean, Luis M\"uller, Ali Parviz, Shenyang Huang, Andrew Fitzgibbon
https://arxiv.org/abs/2404.14986

$\texttt{MiniMol}$: A Parameter-Efficient Foundation Model for Molecular Learning
In biological tasks, data is rarely plentiful as it is generated from hard-to-gather measurements. Therefore, pre-training foundation models on large quantities of available data and then transfer to low-data downstream tasks is a promising direction. However, how to design effective foundation models for molecular learning remains an open question, with existing approaches typically focusing on models with large parameter capacities. In this work, we propose $\texttt{MiniMol}$, a foundational …

Large language models surpass human experts in predicting neuroscience results https://arxiv.org/abs/2403.03230 Well, let LLMs predict results with sensory substitution training then.

Large language models surpass human experts in predicting neuroscience results
Scientific discoveries often hinge on synthesizing decades of research, a task that potentially outstrips human information processing capacities. Large language models (LLMs) offer a solution. LLMs trained on the vast scientific literature could potentially integrate noisy yet interrelated findings to forecast novel results better than human experts. To evaluate this possibility, we created BrainBench, a forward-looking benchmark for predicting neuroscience results. We find that LLMs surpass e…

BASES: Large-scale Web Search User Simulation with Large Language Model based Agents
Ruiyang Ren, Peng Qiu, Yingqi Qu, Jing Liu, Wayne Xin Zhao, Hua Wu, Ji-Rong Wen, Haifeng Wang
https://arxiv.org/abs/2402.17505

BASES: Large-scale Web Search User Simulation with Large Language Model based Agents
Due to the excellent capacities of large language models (LLMs), it becomes feasible to develop LLM-based agents for reliable user simulation. Considering the scarcity and limit (e.g., privacy issues) of real user data, in this paper, we conduct large-scale user simulation for web search, to improve the analysis and modeling of user search behavior. Specially, we propose BASES, a novel user simulation framework with LLM-based agents, designed to facilitate comprehensive simulations of web searc…

This https://arxiv.org/abs/2403.13234 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Distributionally Robust Hospital Capacity Expansion Planning under Stochastic and Correlated Patient Demand
This paper investigates the optimal locations and capacities of hospital expansion facilities under uncertain future patient demands, considering both spatial and temporal correlations. We propose a novel two-stage distributionally robust optimization (DRO) model that integrates a Spatio-Temporal Neural Network (STNN). Specifically, we develop an STNN model that predicts future hospital occupancy levels considering spatial and temporal patterns in time-series datasets over a network of hospital…

Deterministic Identification Codes for Fading Channels
Ilya Vorobyev, Christian Deppe, Holger Boche
https://arxiv.org/abs/2404.02723 https://

Deterministic Identification Codes for Fading Channels
Many communication applications incorporate event-triggered behavior, where the conventional Shannon capacity may not effectively gauge performance. Consequently, we advocate for the concept of identification capacity as a more suitable metric for assessing these systems. We consider deterministic identification codes for the Gaussian AWGN, the slow fading, and the fast fading channels with power constraints. We prove lower bounds on capacities for the slow and the fast fading channels with sid…

Trimma: Trimming Metadata Storage and Latency for Hybrid Memory Systems
Yiwei Li, Boyu Tian, Mingyu Gao
https://arxiv.org/abs/2402.16343 https://

Trimma: Trimming Metadata Storage and Latency for Hybrid Memory Systems
Hybrid main memory systems combine both performance and capacity advantages from heterogeneous memory technologies. With larger capacities, higher associativities, and finer granularities, hybrid memory systems currently exhibit significant metadata storage and lookup overheads for flexibly remapping data blocks between the two memory tiers. To alleviate the inefficiencies of existing designs, we propose Trimma, the combination of a multi-level metadata structure and an efficient metadata cache…

This https://arxiv.org/abs/2404.06810 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

On the Capacities Associated with Local Muckenhoupt Weights
We develop a theory of capacities associated with local Muckenhoupt weights. Fundamental properties of local Muckenhoupt weights will be revisited. Weak type boundedness of nonlinear potential and capacitary strong type inequalities associated with such weights will be addressed. The boundedness of the local maximal function on the spaces of Choquet integrals associated with such weighted capacities will be justified as an application of the theory. We also address on the thinness of sets with …

This https://arxiv.org/abs/2212.10017 has been replaced.
link: https://scholar.google.com/scholar?q=a

Unveiling Code Pre-Trained Models: Investigating Syntax and Semantics Capacities
Past research has examined how well these models grasp code syntax, yet their understanding of code semantics still needs to be explored. We extensively analyze seven code models to investigate how code models represent code syntax and semantics. This includes four prominent code pre-trained models (CodeBERT, GraphCodeBERT, CodeT5, and UnixCoder) and three large language models (StarCoder, CodeLlama, and CodeT5+). We have developed four probing tasks to evaluate the models' abilities to learn c…

Tiny Reinforcement Learning for Quadruped Locomotion using Decision Transformers
Orhan Eren Akg\"un, N\'estor Cuevas, Matheus Farias, Daniel Garces
https://arxiv.org/abs/2402.13201

Tiny Reinforcement Learning for Quadruped Locomotion using Decision Transformers
Resource-constrained robotic platforms are particularly useful for tasks that require low-cost hardware alternatives due to the risk of losing the robot, like in search-and-rescue applications, or the need for a large number of devices, like in swarm robotics. For this reason, it is crucial to find mechanisms for adapting reinforcement learning techniques to the constraints imposed by lower computational power and smaller memory capacities of these ultra low-cost robotic platforms. We try to ad…

This https://arxiv.org/abs/2210.09095 has been replaced.
link: https://scholar.google.com/scholar?q=a

Qualitative reasoning in a two-layered framework
The reasoning with qualitative uncertainty measures involves comparative statements about events in terms of their likeliness without necessarily assigning an exact numerical value to these events. The paper is divided into two parts. In the first part, we formalise reasoning with the qualitative counterparts of capacities, belief functions, and probabilities, within the framework of two-layered logics. Namely, we provide two-layered logics built over the classical propositional logic using a u…

Optimization for MIMO Integrated Sensing and Communications
Lie-Liang Yang
https://arxiv.org/abs/2403.14495 https://arxiv.org/pdf/240…

Optimization for MIMO Integrated Sensing and Communications
The fundamentals of MIMO communications and MIMO sensing are firstly analyzed with regard to channel and sensing capacities. It is shown that the different objectives of communications and sensing lead to different signaling waveforms required for achieving their capacities. Hence, the optimization of integrated sensing and communications (ISAC) is relied on a trade-off expected between the performance of communications and that of sensing. Following this observation, the design and resource op…

Distributed Traffic Signal Control via Coordinated Maximum Pressure-plus-Penalty
Vinzenz T\"utsch, Zhiyu He, Florian D\"orfler, Kenan Zhang
https://arxiv.org/abs/2404.19547

Distributed Traffic Signal Control via Coordinated Maximum Pressure-plus-Penalty
This paper develops an adaptive traffic control policy inspired by Maximum Pressure (MP) while imposing coordination across intersections. The proposed Coordinated Maximum Pressure-plus-Penalty (CMPP) control policy features a local objective for each intersection that consists of the total pressure within the neighborhood and a penalty accounting for the queue capacities and continuous green time for certain movements. The corresponding control task is reformulated as a distributed optimizatio…

Online Flexible Busy Time Scheduling on Heterogeneous Machines
Gruia Calinescu, Sami Davies, Samir Khuller, Shirley Zhang
https://arxiv.org/abs/2402.11109 …

Online Flexible Busy Time Scheduling on Heterogeneous Machines
We study the online busy time scheduling model on heterogeneous machines. In our setting, unit-length jobs arrive online with a deadline that is known to the algorithm at the job's arrival time. An algorithm has access to machines, each with different associated capacities and costs. The goal is to schedule jobs on machines before their deadline, so that the total cost incurred by the scheduling algorithm is minimized. Relatively little is known about online busy time scheduling when machines a…

On Thermodynamic Stability of Black Holes. Part II: AdS Family of Solutions
V. Avramov, H. Dimov, M. Radomirov, R. C. Rashkov, T. Vetsov
https://arxiv.org/abs/2402.07272

On Thermodynamic Stability of Black Holes. Part II: AdS Family of Solutions
This study is aimed at providing a thorough analysis of the classical thermodynamic stability of black holes within the Anti-de Sitter (AdS) family. We utilize the Nambu bracket formalism to calculate local heat capacities and employ Sylvester's criterion in the mass-energy ensemble to determine both local and global thermodynamic stability regions. We explicitly show that all studied black holes have regions of both global and local stability. Highlighting the crucial role of the cosmological …

Adding NVMe SSDs to Enable and Accelerate 100B Model Fine-tuning on a Single GPU
Changyue Liao, Mo Sun, Zihan Yang, Kaiqi Chen, Binhang Yuan, Fei Wu, Zeke Wang
https://arxiv.org/abs/2403.06504

Adding NVMe SSDs to Enable and Accelerate 100B Model Fine-tuning on a Single GPU
Recent advances in large language models have brought immense value to the world, with their superior capabilities stemming from the massive number of parameters they utilize. However, even the GPUs with the highest memory capacities, currently peaking at 80GB, are far from sufficient to accommodate these vast parameters and their associated optimizer states when conducting stochastic gradient descent-based optimization. One approach to hosting such huge models is to aggregate device memory fro…

Non-Primary Channel Access in IEEE 802.11 UHR: Comprehensive Analysis and Evaluation
Dongyu Wei, Liu Cao, Xiangyu Gao, Hao Yin
https://arxiv.org/abs/2403.11300

Non-Primary Channel Access in IEEE 802.11 UHR: Comprehensive Analysis and Evaluation
The evolution of the IEEE 802.11 standards marks a significant throughput advancement in wireless access technologies, progressively increasing bandwidth capacities from 20 MHz in the IEEE 802.11a to up to 320 MHz in the latest IEEE 802.11be (Wi-Fi 7). However, the increased bandwidth capacities may not be well exploited due to inefficient bandwidth utilization incorporating primary channel and secondary channels. Particularly, when primary channel is busy, secondary channels (also known as non…

This https://arxiv.org/abs/2402.09494 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

Can AI and humans genuinely communicate?
Can AI and humans genuinely communicate? In this article, after giving some background and motivating my proposal (sections 1 to 3), I explore a way to answer this question that I call the "mental-behavioral methodology" (sections 4 and 5). This methodology follows the following three steps: First, spell out what mental capacities are sufficient for human communication (as opposed to communication more generally). Second, spell out the experimental paradigms required to test whether a behavior …

FileDES: A Secure Scalable and Succinct Decentralized Encrypted Storage Network
Minghui Xu, Jiahao Zhang, Hechuan Guo, Xiuzhen Cheng, Dongxiao Yu, Qin Hu, Yijun Li, Yipu Wu
https://arxiv.org/abs/2403.14985

FileDES: A Secure Scalable and Succinct Decentralized Encrypted Storage Network
Decentralized Storage Network (DSN) is an emerging technology that challenges traditional cloud-based storage systems by consolidating storage capacities from independent providers and coordinating to provide decentralized storage and retrieval services. However, current DSNs face several challenges associated with data privacy and efficiency of the proof systems. To address these issues, we propose FileDES (\uline{D}ecentralized \uline{E}ncrypted \uline{S}torage), which incorporates three esse…

This https://arxiv.org/abs/2208.01767 has been replaced.
link: https://scholar.google.com/scholar?q=a

Elementary spectral invariants and quantitative closing lemmas for contact three-manifolds
In a previous paper, we defined an "elementary" alternative to the ECH capacities of symplectic four-manifolds, using max-min energy of holomorphic curves subject to point constraints, and avoiding the use of Seiberg-Witten theory. In the present paper we use a variant of this construction to define an alternative to the ECH spectrum of a contact three-manifold. The alternative spectrum has applications to Reeb dynamics in three dimensions. In particular, we adapt ideas from a previous joint pa…

This https://arxiv.org/abs/2308.08384 has been replaced.
initial toot: https://mastoxiv.page/@…

Availability, storage capacity, and diffusion: Stationary states of an asymmetric exclusion process connected to two reservoirs
We explore how the interplay of finite availability, carrying capacity of particles at different parts of a spatially extended system and particle diffusion between them control the steady state currents and density profiles in a one-dimensional current-carrying channel connecting the different parts of the system. To study this, we construct a minimal model consisting of two particle reservoirs of finite carrying capacities connected by a totally asymmetric simple exclusion process (TASEP). In…

This https://arxiv.org/abs/2401.17587 has been replaced.
link: https://scholar.google.com/scholar?q=a

A Hybrid Machine Learning Framework for Predicting Hydrogen Storage Capacities: Unsupervised Feature Learning with Deep Neural Networks
In this study, we present a sophisticated hybrid machine-learning framework that significantly improves the accuracy of predicting hydrogen storage capacities in metal hydrides. This is a critical challenge due to the scarcity of experimental data and the complexity of high-dimensional feature spaces. Our approach employs the power of unsupervised learning through the use of a state-of-the-art autoencoder. This autoencoder is trained on elemental descriptors obtained from Mendeleev software, en…

Optimization for MIMO Integrated Sensing and Communications
Lie-Liang Yang
https://arxiv.org/abs/2403.14495 https://arxiv.org/pdf/240…

Optimization for MIMO Integrated Sensing and Communications
The fundamentals of MIMO communications and MIMO sensing are firstly analyzed with regard to channel and sensing capacities. It is shown that the different objectives of communications and sensing lead to different signaling waveforms required for achieving their capacities. Hence, the optimization of integrated sensing and communications (ISAC) is relied on a trade-off expected between the performance of communications and that of sensing. Following this observation, the design and resource op…

The Evolution of Raw Data Archiving and the Growth of Its Importance in Crystallography
John R. Helliwell, James R. Hester, Loes Kroon-Batenburg, Brian McMahon, Selina L. S. Storm
https://arxiv.org/abs/2402.16652

The Evolution of Raw Data Archiving and the Growth of Its Importance in Crystallography
The hardware for data archiving has expanded capacities for digital storage enormously in the past decade or more. This article charts the efforts of IUCr to facilitate discussions and plans relating to raw data archiving and reuse within the various communities of crystallography, diffraction, and scattering.

This https://arxiv.org/abs/2403.09272 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_eco…

Global Shipyard Capacities Limiting the Ramp-Up of Global Hydrogen Transport
Decarbonizing the global energy system requires significant expansions of renewable energy technologies. Given that cost-effective renewable sources are not necessarily situated in proximity to the largest energy demand centers globally, the maritime transportation of low-carbon energy carriers, such as renewable-based hydrogen or ammonia, will be needed. However, whether existent shipyards possess the required capacity to provide the necessary global fleet has not yet been answered. Therefore,…

This https://arxiv.org/abs/2210.09095 has been replaced.
link: https://scholar.google.com/scholar?q=a

Qualitative reasoning in a two-layered framework
The reasoning with qualitative uncertainty measures involves comparative statements about events in terms of their likeliness without necessarily assigning an exact numerical value to these events. The paper is divided into two parts. In the first part, we formalise reasoning with the qualitative counterparts of capacities, belief functions, and probabilities, within the framework of two-layered logics. Namely, we provide two-layered logics built over the classical propositional logic using a u…

Non-Primary Channel Access in IEEE 802.11 UHR: Comprehensive Analysis and Evaluation
Dongyu Wei, Liu Cao, Xiangyu Gao, Hao Yin
https://arxiv.org/abs/2403.11300

Non-Primary Channel Access in IEEE 802.11 UHR: Comprehensive Analysis and Evaluation
The evolution of the IEEE 802.11 standards marks a significant throughput advancement in wireless access technologies, progressively increasing bandwidth capacities from 20 MHz in the IEEE 802.11a to up to 320 MHz in the latest IEEE 802.11be (Wi-Fi 7). However, the increased bandwidth capacities may not be well exploited due to inefficient bandwidth utilization incorporating primary channel and secondary channels. Particularly, when primary channel is busy, secondary channels (also known as non…

Zero-entropy encoders and simultaneous decoders in identification via quantum channels
Pau Colomer, Christian Deppe, Holger Boche, Andreas Winter
https://arxiv.org/abs/2402.09116 …

Zero-entropy encoders and simultaneous decoders in identification via quantum channels
Motivated by deterministic identification via (classical) channels, where the encoder is not allowed to use randomization, we revisit the problem of identification via quantum channels but now with the additional restriction that the message encoding must use pure quantum states, rather than general mixed states. Together with the previously considered distinction between simultaneous and general decoders, this suggests a two-dimensional spectrum of different identification capacities, whose be…

This https://arxiv.org/abs/2309.01840 has been replaced.
link: https://scholar.google.com/scholar?q=a

Minimum entropy of a log-concave variable for fixed variance
We show that for log-concave real random variables with fixed variance the Shannon differential entropy is minimized for an exponential random variable. We apply this result to derive upper bounds on capacities of additive noise channels with log-concave noise. We also improve constants in the reverse entropy power inequalities for log-concave random variables.

MATRIX: Multi-Agent Trajectory Generation with Diverse Contexts
Zhuo Xu, Rui Zhou, Yida Yin, Huidong Gao, Masayoshi Tomizuka, Jiachen Li
https://arxiv.org/abs/2403.06041

MATRIX: Multi-Agent Trajectory Generation with Diverse Contexts
Data-driven methods have great advantages in modeling complicated human behavioral dynamics and dealing with many human-robot interaction applications. However, collecting massive and annotated real-world human datasets has been a laborious task, especially for highly interactive scenarios. On the other hand, algorithmic data generation methods are usually limited by their model capacities, making them unable to offer realistic and diverse data needed by various application users. In this work,…

This https://arxiv.org/abs/2306.06187 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Faber-Krahn inequalities, the Alt-Caffarelli-Friedman formula, and Carleson's $\varepsilon^2$ conjecture in higher dimensions
The main aim of this article is to prove quantitative spectral inequalities for the Laplacian with Dirichlet boundary conditions. More specifically, we prove sharp quantitative stability for the Faber-Krahn inequality in terms of Newtonian capacities and Hausdorff contents of positive codimension, thus providing an answer to a question posed by De Philippis and Brasco. One of our results asserts that for any bounded domain $Ω\subset\mathbb R^n$, $n\geq3$, with Lebesgue measure equal to that …

Decentralized Proactive Model Offloading and Resource Allocation for Split and Federated Learning
Binbin Huang, Hailiang Zhao, Lingbin Wang, Wenzhuo Qian, Yuyu Yin, Shuiguang Deng
https://arxiv.org/abs/2402.06123

Decentralized Proactive Model Offloading and Resource Allocation for Split and Federated Learning
In the resource-constrained IoT-edge environment, Split Federated (SplitFed) learning is implemented to enhance training efficiency. This method involves each IoT device dividing its full DNN model at a designated layer into a device-side model and a server-side model, then offloading the latter to the edge server. However, existing research overlooks four critical issues as follows: (1) the heterogeneity of IoT devices' resource capacities and the sizes of their local data samples impact train…

Covert Multi-Access Communication with a Non-Covert User
Abdelaziz Bounhar, Mireille Sarkiss, Mich\`ele Wigger
https://arxiv.org/abs/2404.14056 https://

Covert Multi-Access Communication with a Non-Covert User
In this paper, we characterize the fundamental limits of a communication system with three users (i.e., three transmitters) and a single receiver where communication from two covert users must remain undetectable to an external warden. Our results show a tradeoff between the highest rates that are simultaneously achievable for the three users. They further show that the presence of a non-covert user in the system can enhance the capacities of the covert users under stringent secret-key constrai…

Distributionally Robust Hospital Capacity Expansion Planning under Stochastic and Correlated Patient Demand
Aliaa Alnaggar, Faiza Farrukh
https://arxiv.org/abs/2403.13234

Distributionally Robust Hospital Capacity Expansion Planning under Stochastic and Correlated Patient Demand
This paper investigates the optimal locations and capacities of hospital expansion facilities under uncertain future patient demands, considering both spatial and temporal correlations. We propose a novel two-stage distributionally robust optimization (DRO) model that integrates a Spatio-Temporal Neural Network (STNN). Specifically, we develop an STNN model that predicts future hospital occupancy levels considering spatial and temporal patterns in time-series datasets over a network of hospital…

The Evolution of Raw Data Archiving and the Growth of Its Importance in Crystallography
John R. Helliwell, James R. Hester, Loes Kroon-Batenburg, Brian McMahon, Selina L. S. Storm
https://arxiv.org/abs/2402.16652

The Evolution of Raw Data Archiving and the Growth of Its Importance in Crystallography
The hardware for data archiving has expanded capacities for digital storage enormously in the past decade or more. This article charts the efforts of IUCr to facilitate discussions and plans relating to raw data archiving and reuse within the various communities of crystallography, diffraction, and scattering.

On the Limits of Information Spread by Memory-less Agents
Niccol\`o D'ArchivioSapienza Universit\`a di Roma, Robin VacusBocconi University
https://arxiv.org/abs/2402.11553

On the Limits of Information Spread by Memory-less Agents
We address the self-stabilizing bit-dissemination problem, designed to capture the challenges of spreading information and reaching consensus among entities with minimal cognitive and communication capacities. Specifically, a group of $n$ agents is required to adopt the correct opinion, initially held by a single informed individual, choosing from two possible opinions. In order to make decisions, agents are restricted to observing the opinions of a few randomly sampled agents, and lack the abi…

Global Shipyard Capacities Limiting the Ramp-Up of Global Hydrogen-based Transportation
Maximilian Stargardt (Forschungszentrum J\"ulich GmbH, Institute of Energy and Climate Research - Techno-economic Systems Analysis, RWTH Aachen University, Chair of Fuel Cells, Faculty of Mechanical Engineering, Aachen, Germany), David Kress (Forschungszentrum J\"ulich GmbH, Institute of Energy and Climate Research - Techno-economic Systems Analysis), Heidi Heinrichs (Forschungszentrum J\&…

Global Shipyard Capacities Limiting the Ramp-Up of Global Hydrogen-based Transportation
Decarbonizing the global energy system requires significant expansions of renewable energy technologies. Given that cost-effective renewable sources are not necessarily situated in proximity to the largest energy demand centers globally, the maritime transportation of low-carbon energy carriers, such as renewable-based hydrogen or ammonia, will be needed. However, whether existent shipyards possess the required capacity to provide the necessary global fleet has not yet been answered. Therefore,…

This https://arxiv.org/abs/1403.6207 has been replaced.
link: https://scholar.google.com/scholar?q=a<…

Cluster Before You Hallucinate: Approximating Node-Capacitated Network Design and Energy Efficient Routing
We consider the following node-capacitated network design problem. The input is an undirected graph, set of demands, uniform node capacity and arbitrary node costs. The goal is to find a minimum node-cost subgraph that supports all demands concurrently subject to the node capacities. We consider both single and multi-commodity demands, and provide the first poly-logarithmic approximation guarantees. For single-commodity demands (i.e., all request pairs have the same sink node), we obtain an $O(…

MATRIX: Multi-Agent Trajectory Generation with Diverse Contexts
Zhuo Xu, Rui Zhou, Yida Yin, Huidong Gao, Masayoshi Tomizuka, Jiachen Li
https://arxiv.org/abs/2403.06041

MATRIX: Multi-Agent Trajectory Generation with Diverse Contexts
Data-driven methods have great advantages in modeling complicated human behavioral dynamics and dealing with many human-robot interaction applications. However, collecting massive and annotated real-world human datasets has been a laborious task, especially for highly interactive scenarios. On the other hand, algorithmic data generation methods are usually limited by their model capacities, making them unable to offer realistic and diverse data needed by various application users. In this work,…

Global Shipyard Capacities Limiting the Ramp-Up of Global Hydrogen-based Transportation
Maximilian Stargardt (Forschungszentrum J\"ulich GmbH, Institute of Energy and Climate Research - Techno-economic Systems Analysis, RWTH Aachen University, Chair of Fuel Cells, Faculty of Mechanical Engineering, Aachen, Germany), David Kress (Forschungszentrum J\"ulich GmbH, Institute of Energy and Climate Research - Techno-economic Systems Analysis), Heidi Heinrichs (Forschungszentrum J\&…

Global Shipyard Capacities Limiting the Ramp-Up of Global Hydrogen-based Transportation
Decarbonizing the global energy system requires significant expansions of renewable energy technologies. Given that cost-effective renewable sources are not necessarily situated in proximity to the largest energy demand centers globally, the maritime transportation of low-carbon energy carriers, such as renewable-based hydrogen or ammonia, will be needed. However, whether existent shipyards possess the required capacity to provide the necessary global fleet has not yet been answered. Therefore,…

This https://arxiv.org/abs/2403.03230 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

Large language models surpass human experts in predicting neuroscience results
Scientific discoveries often hinge on synthesizing decades of research, a task that potentially outstrips human information processing capacities. Large language models (LLMs) offer a solution. LLMs trained on the vast scientific literature could potentially integrate noisy yet interrelated findings to forecast novel results better than human experts. To evaluate this possibility, we created BrainBench, a forward-looking benchmark for predicting neuroscience results. We find that LLMs surpass e…

Design Insights for Industrial CO2 Capture, Transport, and Storage Systems
Tubagus Aryandi Gunawan, Lilianna Gittoes, Cecelia Isaac, Chris Greig, Eric Larson
https://arxiv.org/abs/2403.17162

Design Insights for Industrial CO2 Capture, Transport, and Storage Systems
We present design methods and insights for CO2 capture, transport, and storage systems for clusters of industrial facilities, with a case-study focus on the state of Louisiana. Our analytical framework includes: (1) evaluating the scale and concentration of capturable CO2 emissions at individual facilities for the purpose of estimating the cost of CO2 capture retrofits, (2) a screening method to identify potential CO2 storage sites and estimate their storage capacities, injectivities, and costs…

This https://arxiv.org/abs/2403.09272 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_eco…

Global Shipyard Capacities Limiting the Ramp-Up of Global Hydrogen-based Transportation
Decarbonizing the global energy system requires significant expansions of renewable energy technologies. Given that cost-effective renewable sources are not necessarily situated in proximity to the largest energy demand centers globally, the maritime transportation of low-carbon energy carriers, such as renewable-based hydrogen or ammonia, will be needed. However, whether existent shipyards possess the required capacity to provide the necessary global fleet has not yet been answered. Therefore,…

Valuation of Power Purchase Agreements for Corporate Renewable Energy Procurement
Roozbeh Qorbanian, Nils L\"ohndorf, David Wozabal
https://arxiv.org/abs/2403.08846

Valuation of Power Purchase Agreements for Corporate Renewable Energy Procurement
Corporate renewable power purchase agreements (PPAs) are long-term contracts that enable companies to source renewable energy without having to develop and operate their own capacities. Typically, producers and consumers agree on a fixed per-unit price at which power is purchased. The value of the PPA to the buyer depends on the so called capture price defined as the difference between this fixed price and the market value of the produced volume during the duration of the contract. To model the…

Valuation of Power Purchase Agreements for Corporate Renewable Energy Procurement
Roozbeh Qorbanian, Nils L\"ohndorf, David Wozabal
https://arxiv.org/abs/2403.08846

Valuation of Power Purchase Agreements for Corporate Renewable Energy Procurement
Corporate renewable power purchase agreements (PPAs) are long-term contracts that enable companies to source renewable energy without having to develop and operate their own capacities. Typically, producers and consumers agree on a fixed per-unit price at which power is purchased. The value of the PPA to the buyer depends on the so called capture price defined as the difference between this fixed price and the market value of the produced volume during the duration of the contract. To model the…

This https://arxiv.org/abs/2404.06489 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_eco…

Finding Stable Price Zones in European Electricity Markets: Aiming to Square the Circle?
The European day-ahead electricity market is split into multiple bidding zones. Within these zones, a uniform energy price is computed for each hour. Large bidding zones have been under scrutiny. The fact that zonal clearing ignores the transmission capacities within zones and the increase in renewables lead to a growing number of interventions in the generation of energy sources and large redispatch costs. The European Union Agency for the Cooperation of Energy Regulators (ACER) proposed alter…