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单片机与嵌入式系统应用最新文献

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Design and Implementation of Real-time Embedded Data Acquisition and Classification with Web-based Configuration and Visualization 基于web配置和可视化的实时嵌入式数据采集与分类的设计与实现
Pub Date : 2018-05-01 DOI: 10.1109/ICESIT-ICICTES.2018.8442071
S. Nuratch
This research proposes some useful and practical techniques to design and implement the real-time embedded data acquisition and classification. A web-based used as graphical user interface is also provided to visualize data, parameters and behaviors of the proposed system. A low-cost microcontroller is chosen to run special bootloader and application program. The application program is designed and implemented using non-blocking event-driven realtime operating system. It reads data from sensors, performs K-means classification algorithm, and sends data and system states to the web-based application running on a web browser. In addition, the microcontroller system is designed to support many IoT applications. It is composed of all basic inputs and outputs, e.g., ADCs, PWMs, Wi-Fi, USB-to-UART and data storage. The users can visualize the measured data and examine behaviors of the K-means algorithm on the web browser in real-time. The web-based application is designed and implanted using new technology of web-based application development techniques. It can be run on any device that has web browser. The microcontroller and web-based application can exchange their data over internet network using HTTP, MQTT or WebSockets protocol. It supports serial port communication as well. The experimental results show that the proposed system and algorithms running on the microcontroller and web browser can perform data acquisition and classification in real-time manner and it can be used in real-world applications as expected.
本研究提出了一些实用的技术来设计和实现实时嵌入式数据采集和分类。还提供了一个基于web的图形用户界面,用于可视化所建议系统的数据、参数和行为。选用低成本的微控制器来运行特殊的引导程序和应用程序。应用程序采用非阻塞事件驱动的实时操作系统进行设计和实现。它从传感器读取数据,执行K-means分类算法,并将数据和系统状态发送到运行在web浏览器上的基于web的应用程序。此外,微控制器系统旨在支持许多物联网应用。它由所有基本输入和输出组成,例如adc、pwm、Wi-Fi、USB-to-UART和数据存储。用户可以将测量数据可视化,并在web浏览器上实时检查K-means算法的行为。基于web的应用程序是利用基于web的应用程序开发技术的新技术来设计和植入的。它可以在任何有网络浏览器的设备上运行。微控制器和基于web的应用程序可以使用HTTP、MQTT或WebSockets协议在internet网络上交换数据。它也支持串口通信。实验结果表明,所提出的系统和算法运行在单片机和web浏览器上,能够实现数据的实时采集和分类,并能在实际应用中得到预期的应用。
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引用次数: 3
High Voltage Transmission Tower Detection and Tracking in Aerial Video Sequence using Object-Based Image Classification 基于目标图像分类的航空视频序列高压输电塔检测与跟踪
Pub Date : 2018-05-01 DOI: 10.1109/ICESIT-ICICTES.2018.8442058
Parkpoom Tragulnuch, Thitiporn Chanvimaluang, T. Kasetkasem, Salisa Ingprasert, T. Isshiki
The Aerial Surveillance is an effective method to inspect overhead power transmission line in complicated geographical terrains. However, the practical automatic method is still needed to improve the inspection efficiency. The Canny-Edge detector and Hough transformation are used to extract the power transmission tower straight-line feature. Then, we use object-based image classification to classify the straight-line. The experiments from a set of real-world video sequence have shown the excellent performance of our approach in term of the receiver operating characteristic curve.
空中监视是对复杂地形条件下架空输电线路进行监测的有效手段。但是,为了提高检测效率,仍然需要实用的自动化方法。利用anny- edge检测器和Hough变换提取输电塔的直线特征。然后,我们使用基于目标的图像分类对直线进行分类。一组真实视频序列的实验表明,该方法在接收机工作特性曲线方面具有优异的性能。
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引用次数: 10
Taxi Demand Prediction using Ensemble Model Based on RNNs and XGBOOST 基于rnn和XGBOOST集成模型的出租车需求预测
Pub Date : 2018-05-01 DOI: 10.1109/ICESIT-ICICTES.2018.8442063
Ukrish Vanichrujee, T. Horanont, W. Pattara-Atikom, T. Theeramunkong, T. Shinozaki
Taxis play an important role in urban transportation. Understanding the taxi demand in the future gives an opportunity to organize the taxi fleet better. It also reduces the waiting time of passengers and cruising time of taxi drivers. Even, there are some works proposed to predict the demand of taxi but there are few studies that consider the function of areas such as hospital area, department store area, residential area, and tourist attraction. One predictive model may not fit with all types of area. We use a point of interest (POI) to match taxi demand with a place to study the taxi demand in the area with a different function. In this paper, we investigate the best predictive models that can forecast demand of taxi hourly with 7 types of area function. The models that were selected for the experiment are long short term memory (LSTM), gated recurrent unit (GRU) and extreme gradient boosting (XGBOOST). Then, we proposed the ensemble model that can forecast the taxi demand well with all types of area function using the information from those machine learning models. We build the models based on a real-world dataset generated by over 5,000 taxis in Bangkok, Thailand for 4 months. The result shows that the proposed ensemble model can outperform other models in overall.
出租车在城市交通中起着重要的作用。了解未来的出租车需求,就有机会更好地组织出租车车队。它还减少了乘客的等待时间和出租车司机的巡航时间。甚至,也有一些工作提出了预测出租车的需求,但很少有研究考虑区域的功能,如医院区,百货商店区,住宅区,旅游景点。一个预测模型可能不适用于所有类型的区域。我们使用兴趣点(POI)将出租车需求与一个地方进行匹配,以研究具有不同功能的区域的出租车需求。本文研究了7种区域函数下出租车小时需求量的最佳预测模型。实验选择的模型有长短期记忆(LSTM)、门控循环单元(GRU)和极端梯度增强(XGBOOST)。然后,我们利用这些机器学习模型的信息,提出了能够很好地预测出租车需求的集成模型,该模型具有所有类型的面积函数。我们基于真实世界的数据集建立模型,该数据集由泰国曼谷的5000多辆出租车生成,历时4个月。结果表明,本文提出的集成模型总体上优于其他模型。
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引用次数: 22
Accuracy Comparison of Present Low-cost Current Sensors for Building Energy Monitoring 当前低成本建筑能源监测电流传感器的精度比较
Pub Date : 2018-05-01 DOI: 10.1109/ICESIT-ICICTES.2018.8442066
Ruengwit Khwanrit, S. Kittipiyakul, Jasada Kudtonagngam, H. Fujita
Reducing energy consumption in building is an important motivation for building energy monitoring and management system. In this work we focus on AC current measurement for small to large appliances such as air conditioners. Today's market has many low-cost AC current sensors that use different technologies and come with different usage convenience. This paper aims to compare AC current measurement accuracy for four low-cost current sensors in nowadays market. They are ACS712, WCS1800, SCT013, and PZEM004T. We also discuss about their price and difficulty of installation. We use ESP32 wifi-microcontroller to process measurements. We perform the test using AC loads in small steps from zero up to 20 A. Our results show that PZEM004T gives the best performance among these sensors. However, ACS712 is the best value current sensor because of its low price and performance, although it is more difficult on installation.
降低建筑能耗是建筑能源监测与管理系统的重要动力。在这项工作中,我们专注于小型到大型电器(如空调)的交流电流测量。当今市场上有许多低成本的交流电流传感器,它们采用不同的技术,具有不同的使用方便。本文旨在比较目前市场上四种低成本电流传感器的交流电流测量精度。它们是ACS712, WCS1800, SCT013和PZEM004T。我们还讨论了它们的价格和安装难度。我们使用ESP32 wifi微控制器来处理测量。我们使用交流负载进行测试,从0到20 A的小步骤。结果表明,PZEM004T在这些传感器中具有最佳的性能。然而,ACS712是最有价值的电流传感器,因为它的价格和性能较低,尽管它的安装难度较大。
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引用次数: 15
Defective Parts Reduction in Automotive Wire Assembly Industry by LEAN theory: A Case study 基于精益生产理论的汽车线材装配行业缺陷件减少案例研究
Pub Date : 2018-05-01 DOI: 10.1109/ICESIT-ICICTES.2018.8442055
Nantika Chaikanha, Donreudee Phuhuadon, Lalita Dechawong, Sirirat Phurabat
This research purposed to study the method to reduce defective parts or parts that are detected an error for automotive wire assembly of the factory case study. The objective is to reduce the defective parts or the terminal problems. Starting from studying, surveying, data collecting of details and problems, it was found that the terminal problem arose from the fact that it is hanged with the glove resulting in bending and damage until it is unable to be used. Consequently, the authors must search for the solution of the terminal problem with LEAN theory in order to achieve the objective. The tools in this research included Why Why analysis, Affinity Diagram, and Pareto charts to realize the cause of problem why the terminal hanged with the glove because the glove of wire assembly staffs currently has tiny gaps on the palm which is the reason of the hook. The solution is to change the glove for operation and after the replacement, the mean of the terminal problem from 13.80 pieces per month decreases to 0% as expected.
本研究以汽车线材装配厂为例,研究减少零件缺陷或零件检出错误的方法。目的是减少缺陷部件或终端问题。从对细节和问题的研究、调查、数据收集开始,发现终端问题是由于与手套挂在一起导致弯曲和损坏,直至无法使用。因此,笔者必须运用精益生产理论寻找解决终端问题的方法,以达到这一目的。本研究使用的工具包括Why Why analysis, Affinity Diagram, Pareto chart,来了解为什么接线装配人员的手套在手掌上有微小的缝隙,导致终端挂在手套上的原因。解决方法是更换手套进行操作,更换手套后,终端问题的平均值从13.80只/月下降到预期的0%。
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引用次数: 0
SONOS Split-Gate eFlash Memory SONOS分门eFlash内存
Pub Date : 2018-01-01 DOI: 10.1007/978-3-319-55306-1_7
T. Ito, Y. Taito
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引用次数: 1
Overview of Embedded Flash Memory Technology 嵌入式闪存技术概述
Pub Date : 2018-01-01 DOI: 10.1007/978-3-319-55306-1_3
T. Kono, T. Saito, T. Yamauchi
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引用次数: 2
Floating-Gate 1Tr-NOR eFlash Memory 浮动门1Tr-NOR eFlash存储器
Pub Date : 2018-01-01 DOI: 10.1007/978-3-319-55306-1_4
A. Conte, F. Disegni, F. L. Rosa, A. Maurelli
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引用次数: 0
SONOS 1Tr eFlash Memory SONOS 1Tr flash Memory
Pub Date : 2018-01-01 DOI: 10.1007/978-3-319-55306-1_6
Hidenori Mitani, K. Matsubara
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引用次数: 0
Split-Gate Floating Poly SuperFlash® Memory Technology, Design, and Reliability 分栅浮动聚SuperFlash®存储技术,设计和可靠性
Pub Date : 2018-01-01 DOI: 10.1007/978-3-319-55306-1_5
N. Do, H. Tran, A. Kotov, V. Tiwari
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引用次数: 5
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单片机与嵌入式系统应用
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