tjujavis Goto Github PK
Name: TJU Javis
Type: User
Company: Tianjin University
Bio: Hello, world!
Location: Tianjin
Name: TJU Javis
Type: User
Company: Tianjin University
Bio: Hello, world!
Location: Tianjin
在大学期间,我作为队长带领团队参与了全国数学建模竞赛,聚焦于“多波束海底地形测量优化”,项目中我领导团队探索了海洋探测领域的创新技术前沿。我们深入研究了多波束测深系统,利用多接收技术,提高海底地形测量的精度与效率,通过复杂算法模型,实现了海洋勘探的三维观测。
在2024年的美国大学生数学建模竞赛(MCM/ICM)中,D题“五大湖水资源调配问题”挑战了参赛者以数学建模的智慧。此题围绕着全球最大的淡水湖群——五大湖及其水道网络,要求参赛者构建数学模型,既要考虑水资源的合理调配,又要平衡多利益相关方需求,模拟自然生态、社会经济与环境的复杂性。
本设计项目名为“面向银行信用卡的风险评估模型设计”,是天津大学电气自动化与信息工程学院《模式识别》课程中完成的。项目的核心目标是开发一套全面的银行信用卡业务风险评估模型,旨在帮助银行更好地理解和控制信用卡相关的风险,包括违约、欺诈等问题,从而提升其风险管理能力。
在电子琴仿真设计项目中,我利用Proteus软件和单片机技术,结合AT89C51为核心,设计了一个多功能电子琴系统。这个设计主要实现了通过键盘矩阵键盘控制演奏、独立按键操作,模拟真实乐器声音输出,以及在LCD1602屏幕上实时显示当前演奏信息等功能,同时用LED指示不同音符。项目还加入了创新性地扩展了独立按键,允许用户在演奏中切换额外的音效和调整,如#音。
The project, funded by the National Undergrad Innovation Training Program, aims to research non-contact heart rate measurement within a year. It utilizes device cameras (e.g., computers, smartphones) to extract facial video light signals, analyze them, and determine real-time heart rates based on Imaging Photoplethysmography (IPPG).
基于51单片机的红外超声波循迹避障小车项目是一种集成了微控制器技术、传感器技术、电机驱动、避障识别和逻辑控制等多方面的知识的综合应用实例。这个项目旨在设计并实现一辆小型自动化的车辆,能够沿着预设定了轨迹行进,同时避开前方的障碍物。
们专注于一项前沿课题:噪声驱动的脉冲神经网络情境依赖学习。我领导团队探索了Spiking Neural Networks (SNN) 第三代神经模型,这些网络模拟生物神经动态,擅长处理时序数据,特别适合于复杂时间序列信息,为计算神经科学与AI带来新领域突破。
此项目专注于使用遗传算法进行优化问题求解的实现,以解决特定任务。项目通过详细的流程图展示了遗传算法的各个关键步骤,从初始化到求解过程,包括种群的建立、选择、交叉、变异、评估、遗传操作、结果输出最短路径和持续迭代直到得到最优解。
The project, funded by the National Undergrad Innovation Training Program, aims to research non-contact heart rate measurement within a year. It utilizes device cameras (e.g., computers, smartphones) to extract facial video light signals, analyze them, and determine real-time heart rates based on Imaging Photoplethysmography (IPPG).
在22-23学年的电子课程设计项目中,进行了一个多功能数字时钟的设计,以实现时、分、秒显示,并在实验室环境中成功实现报时功能和校准。设计要求设计中不仅包括了基本的计数显示,还有提高部分,如星期和月份的动态展示。
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