检索结果-内蒙古大学图书馆

Offloading optimization in edge computing for deep learning enabled target tracking by internet-of-UAVs

学校读者我要写书评

暂无评论

arXiv 2020年

作者： Yang, Bo Cao, Xuelin Yuen, Chau Qian, Lijun Engineering Product Development Pillar Singapore University of Technology and Design Singapore487372 Singapore Department of Electrical and Computer Engineering CREDIT Center Prairie View A&M University Texas A&M University System Prairie ViewTX77446 United States

The empowering unmanned aerial vehicles (UAVs) have been extensively used in providing intelligence such as target tracking. In our field experiments, a pre-trained convolutional neural network (CNN) is deployed at the UAV to identify a target (a vehicle) from the captured video frames and enable the UAV to keep tracking. However, this kind of visual target tracking demands a lot of computational resources due to the desired high inference accuracy and stringent delay requirement. This motivates us to consider offloading this type of deep learning (DL) tasks to a mobile edge computing (MEC) server due to limited computational resource and energy budget of the UAV, and further improve the inference accuracy. Specifically, we propose a novel hierarchical DL tasks distribution framework, where the UAV is embedded with lower layers of the pre-trained CNN model, while the MEC server with rich computing resources will handle the higher layers of the CNN model. An optimization problem is formulated to minimize the weighted-sum cost including the tracking delay and energy consumption introduced by communication and computing of the UAVs, while taking into account the quality of data (e.g., video frames) input to the DL model and the inference errors. Analytical results are obtained and insights are provided to understand the tradeoff between the weighted-sum cost and inference error rate in the proposed framework. Numerical results demonstrate the effectiveness of the proposed offloading framework. Copyright © 2020, The Authors. All rights reserved.

关键词： Unmanned aerial vehicles (UAV)

Lessons learned from accident of autonomous vehicle testing: An edge learning-aided offloading framework

学校读者我要写书评

暂无评论

arXiv 2020年

作者： Yang, Bo Cao, Xuelin Li, Xiangfang Yuen, Chau Qian, Lijun Department of Electrical and Computer Engineering CREDIT Center Prairie View A&M University Texas A&M University System Prairie ViewTX77446 United States Engineering Product Development Pillar Singapore University of Technology and Design Singapore487372 Singapore

This letter proposes an edge learning-based offloading framework for autonomous driving, where the deep learning tasks can be offloaded to the edge server to improve the inference accuracy while meeting the latency constraint. Since the delay and the inference accuracy are incurred by wireless communications and computing, an optimization problem is formulated to maximize the inference accuracy subject to the offloading probability, the pre-braking probability, and data quality. Simulations demonstrate the superiority of the proposed offloading framework. Copyright © 2020, The Authors. All rights reserved.

关键词： Autonomous vehicles

Discontinuous stochastic forcing in Greenland ice core data

学校读者我要写书评

暂无评论

arXiv 2025年

作者： Riechers, Keno Morr, Andreas Lehnertz, Klaus Lind, Pedro G. Boers, Niklas Witthaut, Dirk Gorjão, Leonardo Rydin Climate Physics Max Planck Institute for Meteorology Germany Earth System Modelling School of Engineering & Design Technical University of Munich Germany Research Domain IV – Complexity Science Potsdam Institute for Climate Impact Research Potsdam14473 Germany Department of Epileptology University of Bonn Medical Center Bonn53105 Germany Helmholtz Institute for Radiation and Nuclear Physics University of Bonn Bonn53115 Germany Interdisciplinary Centre for Complex Systems University of Bonn Bonn53175 Germany Department of Computer Science OsloMet – Oslo Metropolitan University Oslo0130 Norway OsloMet Artificial Intelligence lab OsloMet Oslo0166 Norway Global Systems Institute Department of Mathematics University of Exeter United Kingdom Jülich52428 Germany Institute for Theoretical Physics University of Cologne Köln50937 Germany Faculty of Science and Technology Norwegian University of Life Sciences Ås1432 Norway

Paleoclimate proxy records from Greenland ice cores, archiving e.g. δ18O as a proxy for surface temperature, show that sudden climatic shifts called Dansgaard–Oeschger events (DO) occurred repeatedly during the last glacial interval. They comprised substantial warming of the Arctic region from cold to milder conditions. Concomitant abrupt changes in the dust concentrations of the same ice cores suggest that sudden reorganisations of the hemispheric-scale atmospheric circulation have accompanied the warming events. Genuine bistability of the North Atlantic climate system is commonly hypothesised to explain the existence of stadial (cold) and interstadial (milder) periods in Greenland. However, the physical mechanisms that drove abrupt transitions from the stadial to the interstadial state, and more gradual yet still abrupt reverse transitions, remain debated. Here, we conduct a one-dimensional data-driven analysis of the Greenland temperature and atmospheric circulation proxies under the purview of stochastic processes. We take the Kramers–Moyal equation to estimate each proxy’s drift and diffusion terms within a Markovian model framework. We then assess noise contributions beyond Gaussian white noise. The resulting stochastic differential equation (SDE) models feature a monostable drift for the Greenland temperature proxy and a bistable one for the atmospheric circulation proxy. Indicators of discontinuity in stochastic processes suggest to include higher-order terms of the Kramers–Moyal equation when modelling the Greenland temperature proxy’s evolution. This constitutes a qualitative difference in the characteristics of the two time series, which should be further investigated from the standpoint of climate dynamics. © 2025, CC BY-NC-SA.

关键词： Stochastic systems

Comparing Large Language Model AI and Human‑Generated Coaching Messages for Behavioral Weight Loss

学校读者我要写书评

暂无评论

arXiv 2023年

作者： Huang, Zhuoran Berry, Michael P. Chwyl, Christina Hsieh, Gary Wei, Jing Forman, Evan M. Khoury College of Computer Sciences Northeastern University 440 Huntington Ave BostonMA02115 United States VA Connecticut Healthcare System West HavenCT06516 United States Portland Psychotherapy Clinic Research and Training Center 3700 N Williams Ave. PortlandOR97227 United States Department of Human Centered Design & Engineering University of Washington SeattleWA98195 United States School of Computing and Information Systems The University of Melbourne ParkvilleVIC3052 Australia Center for Weight Eating and Lifestyle Science Drexel University 3141 Chestnut Street Stratton Hall PhiladelphiaPA19104 United States Department of Psychological and Brain Sciences Drexel University 3141 Chestnut Street Stratton Hall PhiladelphiaPA19104 United States

Automated coaching messages for weight control can save time and costs, but their repetitive, generic nature may limit their effectiveness compared to human coaching. Large language model (LLM) based artificial intelligence (AI) chatbots, like ChatGPT, could offer more personalized and novel messages to address repetition with their data-processing abilities. While LLM AI demonstrates promise to encourage healthier lifestyles, studies have yet to examine the feasibility and acceptability of LLM-based BWL coaching. Eighty-seven adults in a weight-loss trial (BMI ≥ 27 kg/m2) rated ten coaching messages’ helpfulness (five human-written, five ChatGPT-generated) using a 5-point Likert scale, providing additional open-ended feedback to justify their ratings. Participants also identified which messages they believed were AI-generated. The evaluation occurred in two phases: messages in Phase 1 were perceived as impersonal and negative, prompting revisions for messages in Phase 2. In Phase 1, AI-generated messages were rated less helpful than human-written ones, with 66% receiving a helpfulness rating of 3 or higher. However, in Phase 2, the AI messages matched the human-written ones regarding helpfulness, with 82% scoring three or above. Additionally, 50% were misidentified as human-written, suggesting AI’s sophistication in mimicking human-generated content. A thematic analysis of open-ended feedback revealed that participants appreciated AI’s empathy and personalized suggestions but found them more formulaic, less authentic, and too data-focused. This study reveals the preliminary feasibility and perceived helpfulness of LLM AIs, like ChatGPT, in crafting potentially effective weight control coaching messages. Our findings also underscore areas for future enhancement. © 2023, CC BY.

关键词： Weight control

Optimization Method for an Information Interaction Interface from Error-Cognition to Information Feature Mapping

学校读者我要写书评

暂无评论

Research Square

Research Square 2020年

作者： Wu, Xiaoli Caldwell, Sabrina School of Design Art & Medial Nanjing University of Science & Technology Nanjing210094 China Research School of Computer Science The Australian National University ACT Australia College of Mechanical and Electrical Engineering Hohai University Changzhou China Lab of Human Factors and Information System Interaction & Design Hohai University Changzhou China

Background- With the rapid development of digital and intelligent information systems, display of visual information in interfaces has become an important challenge in the field of human-computer interaction. Objective- We propose a method for the optimization of information interaction interfaces from error-cognition through the mapping of information characteristics. Method- A mapping method of matrix description is adopted to analyze the association properties between error-cognition sets and design information sets. Results- Based on the mapping relationship between the domains of error-cognition and design information, a cross-correlational analysis is carried out between error-cognition and design information. Conclusion- We obtain the relationship matrix between the error-cognition of correlation between design information and the degree of importance among design information. Application- Taking the task interface of a warfare navigation display as an example, error factors and the features of design information are extracted. Based on the results, we also propose an optimization design scheme for the monitoring task interface. © 2020, CC BY.

关键词： Errors

IoT Multi-control Bionic Manipulator's design 3

学校读者我要写书评

暂无评论

IoT Multi-control Bionic Manipulator's Design

3rd International Conference on Circuits, system and Simulation, ICCSS 2019

作者： Lili, Tang Qijun, Huang Wei, Huang Zhixing College of Hubei University Department of Computer and Information Engineering Wuhan China College of Wuhan University Department of Microelectronics Physics and Technology Wuhan China Fourth Laboratory System Design Institute of Hubei Aerospace Technology Academy Wuhan Wuhan China

ISBN: (纸本)9781728136578

This design uses STM32 microcontroller as the core controller of the mechanical arm, transplants Linux operating system to the S3C2440 development board and establishes the LAN server, realizes multiple functions and a variety of control mode: Android mobile app, personal PC in the local area network and gesture-sensing gloves can be used to control mechanical arm, it can also make the operation automatically. At the same time, because the server built, Linux system and QT interface transplanted are on S3C2440, so that the development board and all computers in the local area network can monitor the mechanical arm. This design is widely used in the field of intelligent industry, environmental exploration, intelligent home and so on. © 2019 IEEE.

关键词： Internet of things

Erratum to "Leading edge of the a-wave of the electroretinogram and sodium iodate-induced age-related macular degeneration: A Model" [J. Theor. Biol. 592 (2024) 01-17/111879]

学校读者我要写书评

暂无评论

Journal of theoretical biology 2024年 593卷 111912页

作者： Deepak K Pattanaik Vasudevan Lakshminarayanan Nachieketa K Sharma Amir Prasad Sahu Siksha 'O' Anusandhan University Bhubaneswar OR 751030 India. Electronic address: pattanaikdeepak85@***. School of Optometry and Vision Science and Departments of Physics Electrical and Computer Engineering and System Design Engineering University of Waterloo Waterloo Canada. Electronic address: Vengu@uwaterloo.ca. Siksha 'O' Anusandhan University Bhubaneswar OR 751030 India. Electronic address: nachiketasharma@soa.ac.in. Centurion University of Technology and Management Bhubaneswar OR India. Electronic address: amirprasadsahoo@***.

A Write-Improved Half-Select-Free Low-Power 11T Subthreshold SRAM with Double Adjacent Error Correction for FPGA-LUT design 22nd

学校读者我要写书评

暂无评论

A Write-Improved Half-Select-Free Low-Power 11T Subthreshold...

22nd International Symposium on VLSI design and Test, VDAT 2018

作者： Sharma, Vishal Bisht, Pranshu Dalal, Abhishek Chouhan, Shailesh Singh Jattana, H.S. Vishvakarma, Santosh Kumar Nanoscale Devices VLSI Circuit and System Design Lab Electrical Engineering Indian Institute of Technology Indore IndoreM.P.453552 India EISLAB Department of Computer Science Electrical and Space Engineering Lulea University of Technology Lulea Sweden SCL Mohali Department of Space Govt. of India AjitgarhPunjab India

ISBN: (纸本)9789811359491

This work presents a new bit-interleaving low-power 11T subthreshold SRAM cell with the Data-Dependent Partial-Feedback Cutting to improve the write ability. The isolated read path of 11T enhances the read static noise margin (RSNM) which is equivalent to that of its hold SNM (HSNM), while the incorporated PMOS stacking in each of the inverter helps to reduce the leakage power of the cell. The half-select free behavior of the proposed 11T cell facilitates the bit-interleaving architecture of memory array that reduces the multi-bits error occurrence in a single word of data, and thus enhance the soft error tolerance. Using the proposed cell, a four-input FPGA lookup table (LUT) has been implemented working on 0.4V supply, which consumes 0.59 less leakage power as compared to that of 6T LUT. Finally, a two adjacent bits error correction technique is also suggested to incorporate with the proposed bit-interleaving 11T array, so that the effect of soft error can almost be neglected. It consumes comparable leakage and read access energy to that of one-bit error correcting conventional hamming code. © 2019, Springer Nature Singapore Pte Ltd.

关键词： Table lookup

The design of Smart Car Based on Android Client

学校读者我要写书评

暂无评论

IOP Conference Series: Earth and Environmental Science 2021年第1期693卷

作者： Lili Tang Wei Huang Linhai Guo Department of Computer and Information Engineering Zhixing College of Hubei University Wuhan 430011 China The Fourth Laboratory System Design Institute of Hubei Aerospace Technology Academy Wuhan 430011 China

This design is based on the open source Android version 8.0 system to develop the mobile phone platform client, using the eclipse integrated development environment to research and develop Bluetooth control. The remote control of the car is realized by Bluetooth technology, gravity sensor and voice. The design is mainly composed of hardware system and software system. It can realize the car's forward, backward, rear left turn, rear right turn, front left turn, front right turn and other functions. This design scheme provides a new solution for the design and implementation of wireless remote control vehicle, and also plays a certain reference role for the design of remote control smart home system in the future.

关键词：