jiankangren Goto Github PK

pyclipsm

PyCLiPSM - Harnessing Heterogeneous Computing Resources on CPUs and GPUs for Accelerated Digital Soil Mapping

pycpa

pyCPA fork, WCRT (worst case response time) analysis research tool

qix

Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

quantum_computation

量子计算相关学习

quickest

QuickEst repository: Quick Estimation of Quality of Results

race

Repository for the GRAIC synthesis competition

racecar

racecar-simulator

racecar_simulator

A lightweight simulator of the MIT Racecar.

rarl

Tensorflow implementation for Robust Adversarial Reinforcement Learning: https://arxiv.org/pdf/1703.02702.pdf

rarl-1

ray

A high-performance distributed execution engine

rcmc

Reduced Complexity ManyCore

reaction-source-code

Source code used in the paper "Cost minimization of network services with buffer and end-to-end deadline constraints".

real-time-multicore-scheduling

An implementation of the models of the paper cited

real-time-scheduling

Novel technique for path reduction- Path Limted DAG's for multiprocessor scheduling.

realtimetasksimulator

Real-time Task Simulator

reinforcement-learning

Using WoLF (win or learn fast) PHC (policy hill climbing) algorithm to implement stochastic games

reinforcement-learning-for-real-time-pricing-and-scheduling-control-in-ev-charging-stations

Reinforcement Learning for Real time Pricing and Scheduling Control in EV Charging Stations

research-dual-period

MATLAB & Simulink code of paper “A Dual-Period Task Model for Cyber-Physical Systems”

research-on-vehicle-driving-parameters-modeling-and-mining-of-excellent-driving-behavior

论文《 公共汽车行驶参数建模及优秀驾驶 行为挖掘方法研究》相关程序及数据集，摘要：通过采集公共汽车行驶参数，建立优秀驾驶行为分析模型，可以为驾驶司机提供一种优秀驾车的指导方法；优秀驾驶行为分析模型建立是关键，本文通过建立基于先验规则优秀驾驶行为分析模型和基于聚类分析的优秀驾驶行为挖掘模型，并在建立的两种模型基础上，采用贝叶斯统计方法，对驾驶行为优秀与否建立综合统计评分方法，对驾驶行为进行评判，从而为有效评判司机行为提供依据。 驾驶行为分析方法有许多种，找到适用于公共汽车领域的方法是重点，本文以划分区域路段作为研究出发点，在此基础上建立一种对司机在路段上的评价方法，能够挖掘出同一路段优秀驾驶参数，汇聚参数可以为司机提供针对性的优秀驾车指导。本文主要内容为： ① 介绍了本领域的研究背景和意义，并详细介绍了驾驶行为、基于先验规则、基于关键区域驾驶行为、基于贝叶斯统计的研究现状。 ② 阐述优秀驾驶行为分析模型，并对公交汽车节能驾驶原理和燃料经济性进行了分析，并对本文的关键点优秀驾驶行为模型和模型流程图进行了详细分析和说明。 ③ 建立基于先验规则的下坡空挡滑行、速度档位匹配度、急加速度、急刹车判决模型，并建立基于先验规则的驾驶员综合判决模型；通过对评判概率值进行排序以及阈值来进行优秀驾驶行为评判。 ④ 通过基于关键区域的聚类挖掘，并以油耗作为参考标准，对某一路段驾驶司机参数进行评判，汇聚优秀驾驶行为参数闭包，用来对本路段驾驶司机的优秀行为评判。 ⑤ 以贝叶斯统计原理为基础，综合基于先验规则优秀驾驶行为分析模型获得概率评判值和基于聚类分析的优秀驾驶行为挖掘模型汇聚的优秀驾驶参数闭包评判的驾驶行为概率值，汇总统计获得对驾驶司机的一种综合评判值，通过实验和图示证明了本文所建立模型和应用方法的有效性

research-period-adaptation

Repository for paper “Period Adaptation of Real-Time Control Tasks with Fixed-Priority Scheduling in Cyber-Physical Systems”

research-sched-tsn

MATLAB code for "Fixed-Priority Scheduling and Controller Co-Design for Time-Sensitive Network", ICCAD, 2020.

research-trend

research-wcet-trend-analysis

Code for paper “Predicting Worst-Case Execution Times Trends in Long-lived Cyber-Physical Sytems”

restart_n_secure_cps

This work has been accepted to the 1st Workshop on Security and Dependability of Critical Embedded Real-Time Systems.

ripes

A graphical processor simulator and assembly editor for the RISC-V ISA

rl-scheduling

Implement job scheduling based on REINFORCE and Graph Embedding.

rl_for_dynamic_scheduling

Implementation of the paper "A Reinforcement Learning Based Strategy for Dynamic Scheduling on Heterogeneous Platforms".

rlai