IOM 415: Supply Chain Management Dissertation AY2024/25Java

Java Python IOM 415:

Supply Chain

Management Dissertation

Semester 3

AY2024/25

SECTION A: Basic Information

Brief Introduction to the Module

The dissertation module is a compulsory 20 credit module which all Master students at XJTLU are required to complete as part of their MSc degree programmes.

Key Module Information

Module name: Supply Chain Management Dissertation (Part-Time)

Module code: IOM 415 Credit value: 20

Semester in which the module is taught: 3

Pre-requisites needed for the module: passed all taught components of the programme Programmes on which the module is shared: MSc Operations and Supply Chain Management

SECTION B: What you can expect from the module

Educational Aims of the Module

The aim of this dissertation module is to enable students to undertake a significant piece of independent research on a particular topic in business and management field.   This module provides students with opportunities to: (i) apply their learning to analyse contemporary and ‘cutting edge’ problems and issues of relevance to scholars or practitioners or both; (ii) deepen their knowledge and understanding of a particular topic of interest to them; (iii) produce a complete piece of scholarly work or a project of practical value from conception through to a final thesis or report; (iv) further their independent research skills, i.e. data management, project man

$ git status On branch branch5.0 Your branch is up to date with 'origin/branch5.0'. Changes to be committed: (use "git reset HEAD <file>..." to unstage) new file: oc-gw-proxy/src/main/java/com/iwhalecloud/province/anhui/yunwangpingtai/xml.java Changes not staged for commit: (use "git add <file>..." to update what will be committed) (use "git checkout -- <file>..." to discard changes in working directory) modified: oc_oss3_code/oc_manual_local/src/main/java/com/iwhalecloud/newoss/oc_manual_local/busi/localinterfaceimpl/server/ServerHttpJson.java modified: oc_oss3_code/oc_manual_local/src/main/java/com/iwhalecloud/newoss/oc_manual_local/busi/workOrderManage/controller/OrderMonitorControllerLocal.java modified: ocdm_o3/ocdm-interface/src/main/java/com/iwhalecloud/ocdm/ocdminterface/sgdd/SgddController.java modified: ocdm_o3/ocdm-thread/src/main/java/com/iwhalecloud/ocdm/ocdmthread/osscustomize/open/IsHaveGrdqqy.java Untracked files: (use "git add <file>..." to include in what will be committed) 02.source/iom-base/target/ oc-gw-proxy/target/ oc_oss3_code/oc_base/target/ oc_oss3_code/oc_clob/target/ oc_oss3_code/oc_manual/src/main/java/com/ztesoft/aa.java oc_oss3_code/oc_manual/target/ oc_oss3_code/oc_manual_local/src/main/java/com/iwhalecloud/newoss/oc_manual_local/busi/Dz.java oc_oss3_code/oc_manual_local/src/main/java/com/iwhalecloud/newoss/oc_manual_local/busi/FileCopy.java oc_oss3_code/oc_manual_local/src/main/java/com/iwhalecloud/newoss/oc_manual_local/busi/xml.java oc_oss3_code/oc_manual_local/src/main/java/com/iwhalecloud/newoss/oc_manual_local/busi/zhengqi/xmls.java oc_oss3_code/oc_manual_local/src/main/resources/static/modules/manual/manualWorkOrderDispConfig/eee oc_oss3_code/oc_manual_local/target/ oc_oss3_code/oc_service/src/main/java/com/ztesoft/iomevent/db/ScanToSatisfied.java oc_oss3_code/oc_service/target/ ocdm_o3/ocdm-thread/src/main/java/com/iwhalecloud/ocdm/ocdmthread/osscustomize/open/IsPassOut.java
08-06
内容概要:本文围绕EKF SLAM(扩展卡尔曼滤波同步定位与地图构建)的性能展开多项对比实验研究,重点分析在稀疏与稠密landmark环境下、预测与更新步骤同时进行与非同时进行的情况下的系统性能差异,并进一步探讨EKF SLAM在有色噪声干扰下的鲁棒性表现。实验考虑了不确定性因素的影响,旨在评估不同条件下算法的定位精度与地图构建质量,为实际应用中EKF SLAM的优化提供依据。文档还提及多智能体系统在遭受DoS攻击下的弹性控制研究,但核心内容聚焦于SLAM算法的性能测试与分析。; 适合人群:具备一定机器人学、状态估计或自动驾驶基础知识的科研人员及工程技术人员,尤其是从事SLAM算法研究或应用开发的硕士、博士研究生和相关领域研发人员。; 使用场景及目标:①用于比较EKF SLAM在不同landmark密度下的性能表现;②分析预测与更新机制同步与否对滤波器稳定性与精度的影响;③评估系统在有色噪声等非理想观测条件下的适应能力,提升实际部署中的可靠性。; 阅读建议:建议结合MATLAB仿真代码进行实验复现,重点关注状态协方差传播、观测更新频率与噪声模型设置等关键环节,深入理解EKF SLAM在复杂环境下的行为特性。稀疏 landmark 与稠密 landmark 下 EKF SLAM 性能对比实验,预测更新同时进行与非同时进行对比 EKF SLAM 性能对比实验,EKF SLAM 在有色噪声下性能实验
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