## Statistical CSI Based Transmission Design for Reconfigurable Intelligent Surface aided Massive MIMO Systems with Hardware Impairments

We consider a reconfigurable intelligent surface (RIS) communication system with hardware impairments (HWIs) and RIS phase noise . Different from the existing contributions, the phase shifts of the RIS are designed based on the long-term angle informations . We show that it iscrucial to take HWIs into account when designing the phase shift of RIS .…

## I need a better description An Investigation Into User Expectations For Differential Privacy

Despite widespread deployment of differential privacy, relatively little is known about what users think of it . We find that users care about the kinds of information leaks against which differential privacy protects and are more willing to share their private information when the risks of these leaks are less likely to happen .…

## The Straddling Gates Problem in Multi partite Quantum Systems

It is well known that an arbitrary $n$-qubit quantum state can be prepared with $O(n^2 2^{n/2)$straddling gates . In this work, we give an algorithm that fulfills the task . We also define a novelbinding complexity class, the “Schmidt decomposable” states, and give a circuit construction explanation for its unique property .…

## Dual branch Attention In Attention Transformer for single channel speech enhancement

Curriculum learning begins to thrive in the speech enhancement area . We propose a dual-branchattention-in-attention transformer dubbed DB-AIAT to handle both coarse- andfine-grained regions of the spectrum in parallel . DB- AIAT yields state-of-the-art performance (e.g., 3.31 PESQ, 94.7% STOI and 10.79dB SSNR) over previous advanced systems with a relatively small model size (2.81M) The proposal consists ofadaptive temporal-frequency attention transformer blocks and an adaptivehierarchical attention module, aiming to capture long-term temporal frequencydependencies and further aggregate global hierarchical contextual information .…

## High throughput Phenotyping of Nematode Cysts

The beet cyst nematode (BCN) Heterodera schachtii is a plant pest responsible for crop loss on a global scale . Here, we introduce a high-throughput systembased on computer vision that allows quantifying BCN infestation andcharacterizing cysts through phenotyping . After recording microscopicimages of soil extracts in a standardized setting, an instance segmentational algorithm serves to detect nematodes in these samples .…

## Algorithmic Composition by Autonomous Systems with Multiple Time Scales

Dynamic systems have found their use in sound synthesis as well as scoresynthesis . These levels can be integrated in monolithic autonomous systems in anovel approach to algorithmic composition . We discuss various strategies for achieving variation on multiple time-scales by using slow-fast, hybrid dynamic systems, and statistical feedback .…

## Online Bipartite Matching with Reusable Resources

We study the classic online bipartite matching problem with a twist: offlinenodes are reusable any number of times . Every offline node $i$ becomesavailable $d$ steps after it was assigned to. We give the first approximation factor beating$0.5$ namely a $0.505$ approximation, by adapting and interpreting the powerful technique of Online Correlated Selection .…

## Identification of Metallic Objects using Spectral Magnetic Polarizability Tensor Signatures Object Classification

Magnetic polarizability tensor (MPT) offers an economical characterisation of metallic objects . MPT spectral signature can be determined frommeasurements of the induced voltage over a range frequencies in a metalsignature for a hidden object . With classification in mind, it can also becomomomputed in advance for different threat and non-threat objects .…

## Safe Driving via Expert Guided Policy Optimization

Expert Guided Policy Optimization (EGPO) integrates the guardian in the loop of reinforcement learning . Theguardian is composed of an expert policy to generate demonstration and a switchfunction to decide when to intervene . ERL enables both exploration and expert’s partial demonstration as two training sources .…

## Ego4D Around the World in 3 000 Hours of Egocentric Video

Ego4D offers 3,025 hours of daily-life activity video spanning hundreds of scenarios (household, outdoor, workplace, leisure, etc.) captured by 855 uniquecamera wearers from 74 worldwide locations and 9 different countries . Portions of the video are accompanied by audio, audio, 3D meshes of the environment, eye gaze, stereo, and/or synchronized videos from multiple egocentric cameras at the same event .…

## On line feasible wrench polytope evaluation based on human musculoskeletal models an iterative convex hull method

The algorithm is capable of running in real-time and allows the user to define the accuracy of estimation accuracy . The algorithm performance analysis shows that theexecution time has near-linear relationship to the considered number of muscles . Real-time robot control application of the algorithm isdemonstrated in a Collaborative carrying experiment, where a human operator and a Franka Emika Panda robot jointly carry a 7kg object.…

## SMS An Efficient Source Model Selection Framework for Model Reuse

Transfer learning avoids training a new model from scratch by transferring knowledge from a source task to a target task . As many source models are available, it is difficult for Datascientists to select the best source model for the target task manually .…

## Spectral theory for Maxwell s equations at the interface of a metamaterial Part II Limiting absorption limiting amplitude principles and interface resonance

This paper is concerned with the time-dependent Maxwell’s equations for aplane interface between a negative material described by the Drude model and the vacuum . In a first paper, we have constructed a generalized Fourier transform which diagonalizesthe Hamiltonian that represents the propagation of transverse electric waves .…