Lab2-2 Programming Blog

Liu_Jiewen 2022-11-18 23:36:56

Lab2-2 Programming Blog

This page provides best reading experience in the sequence of:

  1. Typora(md)
  2. Github.com(HTML)
  3. Github.com(md)
  4. CSDN.net

Links are provided in the End Section.

Contents

目录

  • Lab2-2 Programming Blog
  • Contents
  • Keys or Difficulties in programming thinking
  • Photo Proof of Pair Working
  • Working Progress
  • PSP Form
  • Learning Progress Bar
  • Demonstration
  • End

Keys or Difficulties in programming thinking

Top

  1. Problem: Hide the default actionbar so we can make it a better look.
    Solution: After carefully inspecting codes of some samples, we set it to some theme to solve it.
  2. Problem: Make a customized kind of actionbar and make sure it's good for reusing.
    Solution: Tried multiple combinations of settings, we finally found the way the achieve this. This process cost us lots of time.
  3. Problem: How to think about the relationship between single player mode and multiplayer mode.
    Solution: We made thorough understanding of class Activity and decided to share the same activity but invoked differently.
  4. Key: Speed up working progress if simple and plain solutions exist.
  5. Key: Make good uses of debug function of the IDE to figure out mistakes quickly.

Photo Proof of Pair Working

Top

photo

Working Progress

Top

This section consists of PSP Form and Learning Progress Bar.

PSP Form

Top

StagesEstimated Time CostActual Time Cost
Planning
Estimate1010
Development
Analysis1515
Design Spec1515
Design Review1010
Coding Standard105
Design4060
Coding300700
Code Review4560
Test2010
Report
Test Report1515
Size Measurement1030
Postmortem&Process Improvement1530
Total505960

Learning Progress Bar

Top

weekAdded code (line)Cumulative code (lines)Study Time this week (hours)Cumulative learning time (hours)Important Growth
143567888Design and unit test the back end
284616671018Fix bugs, redesign UI

Demonstration

Top

Project on Github.com: https://github.com/LiuJiewenTT/ee308fz_lab2

Video link: https://b23.tv/iPjCM8x

End

Top

The Link Your Classhttps://bbs.csdn.net/forums/MUEE308FZU202201
The Link of Requirement of This Assignmenthttps://bbs.csdn.net/topics/608859318
MU STU ID and FZU STU ID20123850_832001217
Teammate's MU STU ID and FZU STU ID20124082_832001228
Teammate's blog linkhttps://bbs.csdn.net/topics/609330485
GitHub linkhttps://github.com/LiuJiewenTT/ee308fz_lab2
Video demo linkhttps://b23.tv/iPjCM8x

Project on Github.com: https://github.com/LiuJiewenTT/ee308fz_lab2

URL on github.com of this passage(download): https://liujiewentt.github.io/ee308fz_lab2/blog2.md

URL on github.com of this passage(view with Github md): https://github.com/LiuJiewenTT/ee308fz_lab2/tree/main/blog2.md

URL on github.com of this passage(view as html): https://liujiewentt.github.io/ee308fz_lab2/blog2.html

URL on csdn.net of this passage(view as html): https://bbs.csdn.net/topics/609331209

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内容概要:本文研究了基于蜣螂优化算法(DBO)的无线传感器网络(WSN)覆盖优化问题,提出了一种创新的智能优化方法以提升网络覆盖率和整体性能。文中详细阐述了蜣螂优化算法的核心原理及其在WSN节点部署中的应用机制,结合Matlab实现了算法仿真,并与标准PSO、自适应PSO、量子PSO、PSO-GA、PSO-GSA等多种智能优化算法进行了对比实验,验证了DBO在解决NP难问题(如TSP、QAP、背包问题)方面的优越性。研究聚焦于通过优化节点布局最大化感知覆盖范围,延长网络生命周期,提高监测效率,同时提供了完整的代码实现与仿真结果分析,展示了该方法在实际场景中的有效性与可行性。; 适合人群:具备一定编程能力和优化算法基础的科研人员、研究生及工程技术人员,特别适用于从事无线传感器网络、智能优化算法、物联网系统设计及相关领域研究的专业人士。; 使用场景及目标:①用于无线传感器网络中节点部署的优化设计,提升网络空间覆盖率与资源利用率;②作为智能优化算法的教学与科研案例,比较不同元启发式算法在复杂组合优化问题上的性能差异;③为相关科研项目提供可复现的Matlab代码支持和技术实现参考,推动算法在实际工程中的推广应用。; 阅读建议:建议读者结合提供的Matlab代码进行动手实践,深入理解算法实现细节与参数调优过程,重点关注仿真结果的对比分析,并尝试将该算法迁移至其他优化问题中以拓展其应用边界。

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