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VCdatabase
说明： 详细介绍了用VC.NET开发城市基础地理数据库的实例，用于城市测绘，城市基础地理系统建设的重要参考。(Described in detail with the development of urban infrastructure VC.NET examples of geographic database for urban mapping, urban infrastructure an important geographic reference system.)
- 2009-08-17 22:36:26下载
- 积分：1
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Expert_System
专家系统课程实验-疾病分类
简单的疾病分类-13种疾病
使用Python版的CLIPS - pyknow(EXPERIMENTAL EXPERIMENT OF EXPERT SYSTEM COURSE-DISEASE CLASSIFICATION
Simple Classification of Diseases - 20 Diseases
Using the Python version of CLIPS - pyknow)
- 2019-05-07 15:55:52下载
- 积分：1
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上机1
说明： 大地测量基础大地经纬度转大地直角坐标大地测量基础大地经纬度转大地直角坐标(Geodetic foundation geodetic longitude and latitude to Geodetic rectangular coordinates
Geodetic foundation geodetic longitude and latitude to Geodetic rectangular coordinates)
- 2019-04-30 09:26:28下载
- 积分：1
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swerling
对斯威林1、斯威林2、斯威林3、斯威林4概率密度函数的仿真(Matlab simulation for swerling1,swerling2,swerling3,swerling4)
- 2018-02-25 17:13:31下载
- 积分：1
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预测模型控制
说明： 模型预测控制的永磁同步电机Simulink仿真模型，编程与分析。(Model predictive control of permanent magnet synchronous motor Simulink simulation model, programming and analysis.)
- 2021-04-18 17:28:51下载
- 积分：1
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soap-dispenser
File in ccs c compiler, simple electronic soap dispenser using infrared sensor.
- 2011-05-20 17:41:07下载
- 积分：1
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计步传感器资料（附代码）
说明： 采用低功耗 MCU 处理器， 及低功耗 G SENSOR 加速度传感器， 成熟的计步算法， 计步精度达 95%。(With low power MCU processor and low power G SENSOR acceleration sensor, mature step counting algorithm achieves a step counting accuracy of 95%.)
- 2020-06-28 11:20:02下载
- 积分：1
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udprecv
说明： 基于qt的udp组播简易接收端，可以用来学习一下udpsocket指令(Simple receiver of UDP multicast based on QT)
- 2020-06-20 08:00:01下载
- 积分：1
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CHNN
该视频主要讲连续hopfield神经网络及其matlab实现(this video is mainly based on the continuous hopfield neural network and its matlab implementation)
- 2019-03-05 20:20:34下载
- 积分：1
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phaseU
PhaseU，一种
实时LOS识别方案，既适用于静态也适用
商用WiFi基础设施的移动场景。 各种室内场景的实验结果表明了这一点
PhaseU始终优于以前的方法，实现了总体LOS和NLOS检测率为94.35％和
静态情况下为94.19％，移动电话均高于80％
上下文。 此外，PhaseU实现了实时功能
连接AP的毫秒级延迟和1秒延迟
对于未连接的AP，这远远超出现有方法(PhaseU, a
real-time LOS identification scheme that works in both static
and mobile scenarios on commodity WiFi infrastructure. Experimental results in various indoor scenarios demonstrate that
PhaseU consistently outperforms previous approaches, achieving overall LOS and NLOS detection rates of 94.35% and
94.19% in static cases and both higher than 80% in mobile
contexts. Furthermore, PhaseU achieves real-time capability with
millisecond-level delay for a connected AP and 1-second delay
for unconnected APs, which is far beyond existing approaches)
- 2020-09-21 17:37:51下载
- 积分：1
