Systems
Feedback Control of Dynamic Systems_P2
187. Problems for Section 5.4: Design Using Dynamic Compensation 5.21 Let \[G(s) = \frac{1}{s^{2} + 7s + 12}\ \text{~}\text{and}\text{~}\ D_{c}(s) = K ......
Feedback Control of Dynamic Systems_P1
GLOBAL EDITION 1. Feedback Control of Dynamic Systems EIGHTH EDITION Franklin \(\cdot\) Powell \(・\) Emami-Naeini Table of Laplace Transforms Number \ ......
Modern Control Systems_P1
GLOBAL EDITION } FOURTEENTH EDITION and (2) Modern Control Systems} This page is intentionally left blank Modern Control Systems} FOURTEENTH EDITION G ......
The Design of Feedback Control Systems--Advanced Problems
AP10.1 A three-axis pick-and-place application requires the precise movement of a robotic arm in three-dimensional space, as shown in Figure AP10.1 fo ......
TOYOTA SYSTEMS Programming Contest 2023(AtCoder Beginner Contest 330)
TOYOTA SYSTEMS Programming Contest 2023(AtCoder Beginner Contest 330) A - Counting Passes int main() { IOS; cin >> n >> m; int ans = 0; rep (i, 1, n) ......
All CRM Resources in One Place | Best Open Source CRM Systems 2023 (Free & Paid Software)
Best Open Source CRM Systems 2023 (Free & Paid Software) | CRM.org All CRM Resources in One Place | CRM.org CRM Categories Not all CRM systems do the ......
EEEN30141 Concurrent Systems
该课程分为三个部分,将四个部分合在一起进行模拟 百米短跑接力赛。比赛由NO_TEAMS参赛队和 每个团队都有NO_MEMBERS成员。NO_TEAMS和NO_MEMBERS都是四个。 课程的三个部分如下: •第1部分:这涉及创建和启动一个二维数组 线程,每个线程代表一个runner,询问线程属性,以 ......
Signals and systems(1)
LEC 1 Introduction Signals Continuous signals EX1.Sound signals \(y = x(t)\) Continuous Time signal() One dimension signal(only have one variable time ......
Social Infrastructure Information Systems Division, Hitachi Programming Contest 2020
A - Hitachi String 满足条件的串即为串长为偶数且相邻两个均为为 hi,直接判断即可。 代码: #include<iostream> #include<cstdio> #include<cstring> using namespace std; const int N=15; int ......
Proj CDeepFuzz Paper Reading: DeepMutation: Mutation Testing of Deep Learning Systems
## Abstract 本文:DeepMutation Github: https://github.com/berkuva/mutation-testing-for-DNNs Task: mutation testing framework specialized for DL systems t ......
简读||Dynamic Metasurface Antennas for Uplink Massive MIMO Systems
用于上行链路大规模 MIMO 系统的动态超表面天线 摘要:大规模多输入多输出(MIMO)通信是近年来人们广泛关注的焦点。虽然大规模 MIMO 的理论增益已经确立,但在实践中实现具有大规模天线阵列的 MIMO 系统仍具有挑战性。与大规模 MIMO 系统相关的实际挑战包括成本、功耗和物理尺寸的增加。在本 ......
大模型时代的推荐系统Recommender Systems in the Era of Large Language Models (LLMs)
文章地址:https://arxiv.org/abs/2307.02046 笔记中的一些小实验中的模型都是基于GPT-3.5架构的ChatGPT模型。 本文主要讲述了比较具有代表性的方法利用LLM去学习user和item的表示,从预训练、微调和提示三个范式回顾了近期用于增强推荐系统的LLM先进技术, ......
Proj CDeepFuzz Paper Reading: DeepGauge: multi-granularity testing criteria for deep learning systems
## Abstract 本文: DeepGauge Task: provide multi-granularity testing criteria for DL systems Method: multi-granularity testing criteria for DL systems: 1 ......
Proj CDeepFuzz Paper Reading: Combinatorial Testing for Deep Learning Systems
## Abstract 本文:DeepCT Task: Testing DL Models with Combinatorial Testing Method: 1. 将输出值的空间离散化为区间,以便覆盖每个区间,对不同层内的神经元交互进⾏采样,并减少必须执⾏的测试输⼊的数量。 2. a set o ......
Proj CDeepFuzz Paper Reading: Deepxplore: Automated whitebox testing of deep learning systems
## Abstract 背景:现有的深度学习测试在很⼤程度上依赖于⼿动标记的数据,因此通常⽆法暴露罕⻅输⼊的错误⾏为。 本文:DeepXplore Task: a white-box framework to test DL Models 方法: 1. neuron coverage 2. diff ......
How Can Recommender Systems Benefit from Large Language Models: A Survey 阅读笔记
论文主要从LLM应用在推荐系统哪些部分以及LLM如何应用在推荐系统中,还讨论了目前LLM应用在RS中的一些问题。 ###Where? 推荐系统哪些部分哪里可以应用到大模型?文章中提到了特征工程、特征编码、评分/排序函数、推荐流程控制。 - LLM for Feature Engineering - ......
简读||Dynamic Metasurface Antennas Based Downlink Massive MIMO Systems
原文链接:Dynamic Metasurface Antennas Based Downlink Massive MIMO Systems | IEEE Conference Publication | IEEE Xplore 基于动态超表面天线的下行链路大规模MIMO系统 摘要:大规模多输入多输出 ......
OSI(Open Systems Interconnection)的五层(七层)模型
OSI(Open Systems Interconnection)是一个用于计算机网络通信的参考模型,由国际标准化组织(ISO)于1984年提出。它将计算机网络通信过程划分为七个不同的层次,从物理传输层到应用层,每个层次都有其特定的功能和任务。然而,常见的网络模型实际上是TCP/IP模型,它是OSI ......
【综述】A Tutorial on Terahertz-Band Localization for 6G Communication Systems
## A Tutorial on Terahertz-Band Localization for 6G Communication Systems 6G通信系统中太赫兹频段定位导论 cite:H. Chen, H. Sarieddeen, T. Ballal, H. Wymeersch, M. -S ......
How to Restore ASM Based OCR After Complete Loss of the CRS Diskgroup on Linux/Unix Systems (Doc ID 1062983.1)
In this Document Goal Solution References APPLIES TO: Oracle Database - Enterprise Edition - Version 11.2.0.1.0 and later Oracle Database Cloud Schema ......
如何使用 Amazon Systems Manager 集中管理 Amazon IoT Greengrass 设备
对于边缘设备管理员来说,远程管理大量不同的系统和应用程序会是一项富有挑战性的任务。Amazon IoT Greengrass 可帮助这些系统管理员管理其边缘设备应用程序堆栈。不过,这些设备上的系统软件必须通过与其大型 IT 企业的运营策略一致的运营策略来单独更新和维护。此外,客户必须构建或集成自定义 ......
6.5840: Distributed Systems
# 相关信息 课程链接: https://pdos.csail.mit.edu/6.824/schedule.html Next Step: - 7.18 LEC 2 - 7.17 MapReduce paper, LEC 2 Preparation - 7.16 MapReduce video # ......
5、Error-state kinematics for IMU-driven systems
IMU驱动系统的误差状态运动学 5.1 动机 我们希望使用Hamilton四元素表示空间方位或姿态,将具有偏置和噪声读数的加速度计和陀螺仪进行积分,实现惯性系统运动学的误差状态方程。 加速度计和陀螺仪的读数通常来自惯性测量单元(IMU)。将IMU读数积分会导致随时间漂移的惯性导航定位系统。避免漂移的 ......
R语言代做编程辅导IS4240 Business Intelligence Systems(附答案)
全文链接:https://tecdat.cn/?p=33173 Learning Objectives · Use the R environment to do data exploration and data preparation. Submission Information · This ......
Online Temporal Calibration for Monocular Visual-Inertial Systems
摘要: 准确的状态估计是各种智能应用的基本模块,例如机器人导航、自动驾驶、虚拟和增强现实。近年来,视觉和惯性融合是一种流行的技术,用于6自由度状态估计。不同传感器测量记录的时间点对于系统的鲁棒性和准确性非常重要。实际上,每个传感器的时间戳通常会受到触发和传输延迟的影响,导致不同传感器之间存在时间错位 ......
NIST SP 800-37 Risk Management Framework for Information Systems and Organizations A System Life Cycle Approach for Security and Privacy
NIST SP 800-37 Risk Management Framework for Information Systems and Organizations A System Life Cycle Approach for Security and Privacy It structured ......
ECPS 208: Control Systems 控制系统
ECPS 208: Control Systems for Cyber Physical SystemsHomework Assignment Number 4Higher Dimensional Quadcopter - Trajectory ControlSpring 2023Consider ......
ECPS 208 Control Systems控制系统
ECPS 208: Control Systems for Cyber Physical SystemsHomework Assignment Number 4Higher Dimensional Quadcopter - Trajectory ControlSpring 2023Consider ......
阅读文献《DCRNet:Dilated Convolution based CSI Feedback Compression for Massive MIMO Systems》
这篇文章的作者是广州大学的范立生老师和他的学生汤舜璞,于2022年10月发表在 IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY。 文献提出了一种基于**空洞卷积(Dilated Convolution)**的CSI反馈网络,即空洞信道重建网络(Dilated Ch ......
文献阅读《AcsiNet: Attention-Based Deep Learning Network for CSI Prediction in FDD MIMO Systems》
这篇文献的作者是南华大学的林文斌老师,于2023年3月3日发表在IEEE WIRELESS COMMUNICATIONS LETTERS。 文章直接对上行 CSI 矩阵使用离散傅里叶逆变换进行压缩,然后将其输入一个基于注意力(attention-based)的深度学习网络,该网络可以专注于关键的 C ......