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๐Ÿ” memory ๐Ÿ“‚ Engineering
Showing 3601 results for "memory" in Engineering
Engineering Preprint PDF DOI

Multi-task Learning-based Joint CSI Prediction and Predictive Transmitter Selection for Security

Shashi Bhushan Kotwal, Chinmoy Kundu, Sudhakar Modem, Holger Claussen, Lester Ho ยท 2024

In mobile communication scenarios, the acquired channel state information (CSI) rapidly becomes outdated due to fast-changing channels. Opportunistic transmitter selection based on current CSI for secโ€ฆ

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Engineering Preprint PDF DOI

Time, Travel, and Energy in the Uniform Dispersion Problem

Michael Amir, Alfred M. Bruckstein ยท 2024

We investigate the algorithmic problem of uniformly dispersing a swarm of robots in an unknown, gridlike environment. In this setting, our goal is to study the relationships between performance metricโ€ฆ

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Multi-Source Encapsulation With Guaranteed Convergence Using Minimalist Robots

Himani Sinhmar, Hadas Kress-Gazit ยท 2024

We present a decentralized control algorithm for a minimalist robotic swarm lacking memory, explicit communication, or relative position information, to encapsulate multiple diffusive target sources iโ€ฆ

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Engineering Preprint PDF DOI

Distributed Stochastic Optimization of a Neural Representation Network for Time-Space Tomography Reconstruction

K. Aditya Mohan, Massimiliano Ferrucci, Chuck Divin, Garrett A. Stevenson, Hyojin Kim ยท 2024

4D time-space reconstruction of dynamic events or deforming objects using X-ray computed tomography (CT) is an important inverse problem in non-destructive evaluation. Conventional back-projection basโ€ฆ

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Assessing Image Quality Using a Simple Generative Representation

Simon Raviv, Gal Chechik ยท 2024

Perceptual image quality assessment (IQA) is the task of predicting the visual quality of an image as perceived by a human observer. Current state-of-the-art techniques are based on deep representatioโ€ฆ

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Engineering Preprint PDF DOI

HVOFusion: Incremental Mesh Reconstruction Using Hybrid Voxel Octree

Shaofan Liu, Junbo Chen, Jianke Zhu ยท 2024

Incremental scene reconstruction is essential to the navigation in robotics. Most of the conventional methods typically make use of either TSDF (truncated signed distance functions) volume or neural nโ€ฆ

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An Attention-Based Deep Learning Architecture for Real-Time Monocular Visual Odometry: Applications to GPS-free Drone Navigation

Olivier Brochu Dufour, Abolfazl Mohebbi, Sofiane Achiche ยท 2024

Drones are increasingly used in fields like industry, medicine, research, disaster relief, defense, and security. Technical challenges, such as navigation in GPS-denied environments, hinder further adโ€ฆ

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Age of Information Minimization using Multi-agent UAVs based on AI-Enhanced Mean Field Resource Allocation

Yousef Emami, Hao Gao, Kai Li, Luis Almeida, Eduardo Tovar, Zhu Han ยท 2024

Unmanned Aerial Vehicle (UAV) swarms play an effective role in timely data collection from ground sensors in remote and hostile areas. Optimizing the collective behavior of swarms can improve data colโ€ฆ

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A Dynamic Kernel Prior Model for Unsupervised Blind Image Super-Resolution

Zhixiong Yang, Jingyuan Xia, Shengxi Li, Xinghua Huang, Shuanghui Zhang, Zhen Liu, Yaowen Fu, Yongxiang Liu ยท 2024

Deep learning-based methods have achieved significant successes on solving the blind super-resolution (BSR) problem. However, most of them request supervised pre-training on labelled datasets. This paโ€ฆ

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Efficient and Timely Memory Access

Vishakha Ramani, Ivan Seskar, Roy D. Yates ยท 2024

This paper investigates the optimization of memory sampling in status updating systems, where source updates are published in shared memory, and reader process samples the memory for source updates byโ€ฆ

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360{\deg} phase detector cell for measurement systems based on switched dual multipliers

Baltasar Perez, Victor A. Arana, Javier Perez-Mato, Francisco Cabrera ยท 2024

This letter presents a 360{\deg} phase detector cell for performing phase-shift measurements on multiple output systems. An analog phase detector, capable of detecting a maximum range of {\pm}90{\deg}โ€ฆ

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LayeredMAPF: a decomposition of MAPF instance to reduce solving costs

Zhuo Yao, Wei Wang ยท 2024

Multi-agent pathfinding (MAPF) holds significant utility within autonomous systems, however, the calculation and memory space required for multi-agent path finding (MAPF) grows exponentially as the nuโ€ฆ

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A Containerized Microservice Architecture for a ROS 2 Autonomous Driving Software: An End-to-End Latency Evaluation

Tobias Betz, Long Wen, Fengjunjie Pan, Gemb Kaljavesi, Alexander Zuepke, Andrea Bastoni, Marco Caccamo, Alois Knoll, Johannes Betz ยท 2024

The automotive industry is transitioning from traditional ECU-based systems to software-defined vehicles. A central role of this revolution is played by containers, lightweight virtualization technoloโ€ฆ

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MP-DPD: Low-Complexity Mixed-Precision Neural Networks for Energy-Efficient Digital Predistortion of Wideband Power Amplifiers

Yizhuo Wu, Ang Li, Mohammadreza Beikmirza, Gagan Deep Singh, Qinyu Chen, Leo C. N. de Vreede, Morteza Alavi, Chang Gao ยท 2024

Digital Pre-Distortion (DPD) enhances signal quality in wideband RF power amplifiers (PAs). As signal bandwidths expand in modern radio systems, DPD's energy consumption increasingly impacts overall sโ€ฆ

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Retrieval-Augmented Embodied Agents

Yichen Zhu, Zhicai Ou, Xiaofeng Mou, Jian Tang ยท 2024

Embodied agents operating in complex and uncertain environments face considerable challenges. While some advanced agents handle complex manipulation tasks with proficiency, their success often hinges โ€ฆ

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Learning Symbolic Task Representation from a Human-Led Demonstration: A Memory to Store, Retrieve, Consolidate, and Forget Experiences

Luca Buoncompagni, Fulvio Mastrogiovanni ยท 2024

We present a symbolic learning framework inspired by cognitive-like memory functionalities (i.e., storing, retrieving, consolidating and forgetting) to generate task representations to support high-leโ€ฆ

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Post-Training Network Compression for 3D Medical Image Segmentation: Reducing Computational Efforts via Tucker Decomposition

Tobias Weber, Jakob Dexl, David Rugamer, Michael Ingrisch ยท 2024

We address the computational barrier of deploying advanced deep learning segmentation models in clinical settings by studying the efficacy of network compression through tensor decomposition. We propoโ€ฆ

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SNN4Agents: A Framework for Developing Energy-Efficient Embodied Spiking Neural Networks for Autonomous Agents

Rachmad Vidya Wicaksana Putra, Alberto Marchisio, Muhammad Shafique ยท 2024

Recent trends have shown that autonomous agents, such as Autonomous Ground Vehicles (AGVs), Unmanned Aerial Vehicles (UAVs), and mobile robots, effectively improve human productivity in solving diversโ€ฆ

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SNAKE-fMRI: A modular fMRI data simulator from the space-time domain to k-space and back

Pierre-Antoine Comby (MIND, BAOBAB), Alexandre Vignaud (BAOBAB), Philippe Ciuciu (MIND) ยท 2024

We propose a new, modular, open-source, Python-based 3D+time fMRI data simulation software, \emph{SNAKE-fMRI}, which stands for \emph{S}imulator from \emph{N}eurovascular coupling to \emph{A}cquisitioโ€ฆ

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Mental Stress Detection: Development and Evaluation of a Wearable In-Ear Plethysmography

Hika Barki, Wan-Young Chung ยท 2024

Mental stress is a prevalent condition that can have negative impacts on one's health. Early detection and treatment are crucial for preventing related illnesses and maintaining overall wellness. Thisโ€ฆ

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