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There exist severe limitations on the accuracy of low-temperature thermometry, which poses a major challenge for future quantum-technological applications. Low-temperature sensitivity might be manipulated by tailoring the interactions…

Quantum Physics · Physics 2022-05-04 Jonas Glatthard , Luis A. Correa

Active sensing refers to the process of choosing or tuning a set of sensors in order to track an underlying system in an efficient and accurate way. In a wireless environment, among the several kinds of features extracted by traditional…

Information Theory · Computer Science 2016-05-30 Alessandro Biason , Urbashi Mitra , Michele Zorzi

We propose in this paper to study the energy-, thermal- and performance-aware resource management in heterogeneous datacenters. Witnessing the continuous development of heterogeneity in datacenters, we are confronted with their different…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-10-14 Hongyang Sun , Patricia Stolf , Jean-Marc Pierson , Georges Da Costa

This article presents and assesses a framework for estimating temperature fields in real time for food-freezing applications, significantly reducing computational load while ensuring accurate temperature monitoring, which represents a…

Numerical Analysis · Mathematics 2025-06-03 Felipe Galarce , Diego Rivera , Douglas Pacheco , Alfonso Caiazzo , Ernesto Castillo

State-of-the-art mobile processors can deliver fast response time and high throughput to maximize the user experience. However, high performance comes at the expense of larger power density, which leads to higher skin temperatures. Since…

Other Computer Science · Computer Science 2019-04-23 Ganapati Bhat , Suat Gumussoy , Umit Y. Ogras

A central idea of knowledge distillation is to expose relational structure embedded in the teacher's weights for the student to learn, which is often facilitated using a temperature parameter. Despite its widespread use, there remains…

Machine Learning · Computer Science 2026-03-05 Logan Frank , Jim Davis

Low-level sensory data processing in many Internet-of-Things (IoT) devices pursue energy efficiency by utilizing sleep modes or slowing the clocking to the minimum. To curb the share of stand-by power dissipation in those designs,…

Signal Processing · Electrical Eng. & Systems 2019-06-12 Mehdi Safarpour , Ilkka Hautala , Miguel Bordallo Lopez , Olli Silven

Addressing the uncertainty and variability in the quality of 3D printed metals can further the wide spread use of this technology. Process mapping for new alloys is crucial for determining optimal process parameters that consistently…

Materials Science · Physics 2024-01-02 David Guirguis , Conrad Tucker , Jack Beuth

Machine vision tasks present challenges for resource constrained edge devices, particularly as they execute multiple tasks with variable workloads. A robust approach that can dynamically adapt in runtime while maintaining the maximum…

Performance · Computer Science 2021-08-31 Umar Ibrahim Minhas , Lev Mukhanov , Georgios Karakonstantis , Hans Vandierendonck , Roger Woods

Advances in CMOS technology have made high resolution image sensors possible. These image sensor pose significant challenges in terms of the amount of raw data generated, energy efficiency and frame rate. This paper presents a new design…

Image and Video Processing · Electrical Eng. & Systems 2018-01-12 Pravir Singh Gupta , Gwan Seong Choi

We present measurements of the near-field heat transfer between the tip of a thermal profiler and planar material surfaces under ultrahigh vacuum conditions. For tip-sample distances below 10-8 m our results differ markedly from the…

Mesoscale and Nanoscale Physics · Physics 2015-05-27 Achim Kittel , Wolfgang Müller-Hirsch , Jürgen Parisi , Svend-Age Biehs , Daniel Reddig , Martin Holthaus

In small satellites there is less room for heat control equipment, scientific instruments, and electronic components. Furthermore, the near proximity of electronic components makes power dissipation difficult, with the risk of not being…

Machine Learning · Computer Science 2025-07-03 Alejandro D. Mousist

We introduce ThermoStereoRT, a real-time thermal stereo matching method designed for all-weather conditions that recovers disparity from two rectified thermal stereo images, envisioning applications such as night-time drone surveillance or…

Computer Vision and Pattern Recognition · Computer Science 2025-04-11 Anning Hu , Ang Li , Xirui Jin , Danping Zou

Thermally coupled distillation is a new energy-saving method, but the traditional thermally coupled distillation simulation calculation process is complicated, and the optimization method based on the traditional simulation process is…

Chemical Physics · Physics 2021-02-09 ZhaoLan Zheng , Yu Qi

Diversity is an essential metric for evaluating the creativity of outputs generated by language models. Temperature-based sampling is a common strategy to increase diversity. However, for tasks that require high precision, e.g.,…

Machine Learning · Computer Science 2025-10-03 Sergey Troshin , Wafaa Mohammed , Yan Meng , Christof Monz , Antske Fokkens , Vlad Niculae

Transforming a thermal infrared image into a robust perceptual colour Visible image is an ill-posed problem due to the differences in their spectral domains and in the objects' representations. Objects appear in one spectrum but not…

Computer Vision and Pattern Recognition · Computer Science 2020-03-05 Feras Almasri , Olivier Debeir

We introduce a numerical workflow to model and simulate transient close-contact melting processes based on the space-time finite element method. That is, we aim at computing the velocity at which a forced heat source melts through a…

Numerical Analysis · Mathematics 2023-06-01 Leonardo Boledi , Fabian Key , Benjamin Terschanski , Stefanie Elgeti , Julia Kowalski

In single-zone multi-node systems (SZMRSs), temperature controls rely on a single probe near the thermostat, resulting in temperature discrepancies that cause thermal discomfort and energy waste. Augmenting smart thermostats (STs) with…

Signal Processing · Electrical Eng. & Systems 2024-11-11 Ozan Baris Mulayim , Edson Severnini , Mario Bergés

Speculative decoding stands as a pivotal technique to expedite inference in autoregressive (large) language models. This method employs a smaller draft model to speculate a block of tokens, which the target model then evaluates for…

Computation and Language · Computer Science 2024-10-15 Siru Ouyang , Shuohang Wang , Minhao Jiang , Ming Zhong , Donghan Yu , Jiawei Han , Yelong Shen

Cross modal face matching between the thermal and visible spectrum is a much de- sired capability for night-time surveillance and security applications. Due to a very large modality gap, thermal-to-visible face recognition is one of the…

Computer Vision and Pattern Recognition · Computer Science 2015-07-13 M. Saquib Sarfraz , Rainer Stiefelhagen
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