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Your search for "2025" yielded 23635 hits

Swedish clients’ views on certification of reused building products and reuse actors

Reusing building products is a feasible strategy for the construction and real estate industry to mitigate its climate impact. Sustainable reuse must be executed with quality assurance and defined responsibilities to encourage clients and avoid suboptimal outcomes. Despite the growing need to quality-assure reused products, there is limited research, particularly from an industry perspective. Prev

Challenges and Solutions in Car Roof Glass Antenna Design

For many years, car antennas of various applications are co-integrated into the roof-mounted “shark fin” module. More recently, both hidden antennas and full glass roofs are becoming trendy in the car industry. Taken together, they point to the integration of car antennas into glass roof being an attractive car antenna solution. However, such a solution is challenging to realize due to the roof gl

Grid Capacity Impact from the Charging of Electrified Long-Haul Trucks

The introduction of electric heavy trucks will lead to new charging power requirements on the power grid. This study examines how much charging power is required for the public fast charging of a fully electrified long-haul truck fleet. Probabilistic truck charging profiles are created using agent-based simulations, based on fully representative long-haul goods transport data from the study area.

Grafted Trees Bear Better Fruit : An Improved Multiple-Valued Plaintext-Checking Side-Channel Attack Against Kyber

As a prominent category of side-channel attacks (SCAs), plaintext-checking (PC) oracle-based SCAs offer the advantages of generality and operational simplicity on a targeted device. At TCHES 2023, Rajendran et al. and Tanaka et al. independently proposed the multiple-valued (MV) PC oracle, significantly reducing the required number of queries (a.k.a., traces) in the PC oracle. However, in practice

Thalassa : Transforming Symbolic PDEs into Tensor-Based Solvers Running on ML Accelerators

We introduce Thalassa, a framework designed to convert nonlinear systems of partial differential equations (PDEs) with a time-like component into tensor programs that solve these equations. These programs can run on GPUs as well as machine learning (ML) acceleration hardware, enabling scientific computing fields such as computational fluid dynamics, astrophysics, mechanics and biology to utilize a

High-Rate Spatially Coupled LDPC Codes Based on Massey's Convolutional Self-Orthogonal Codes

We propose a new class of high-rate spatially coupled LDPC (SC-LDPC) codes based on the convolutional selforthogonal codes (CSOCs) first introduced by Massey. The SCLDPC codes are constructed by treating the irregular graph corresponding to the parity-check matrix of a systematic rate R=(n-1) / n CSOC as a convolutional protograph. The protograph can then be lifted using permutation matrices to ge