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2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)最新文献

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Long-Range Underwater Acoustic Navigation and Communication System 远程水声导航与通信系统
Pub Date : 2020-10-23 DOI: 10.1109/ECICE50847.2020.9301970
A. Rodionov, P. Unru, A. Golov
The paper presents a performance analysis of a digital underwater acoustic communication system for operating distances above 300 km in 300-500 Hz bandwidth. Estimating the system's performance relies on the underwater acoustic channel model involving a rapid transition from shelf zone to deep-sea consisting of ray patterns and channel impulse responses. Reverberation in such conditions of 200-600 ms imposes specific design requirements to an efficient digital system of commands and data transmission in such a narrow band. The bitrate of 20 bit/s was achieved for stated distances under severe multipathing.
本文对300 ~ 500hz带宽下工作距离300 km以上的数字水声通信系统进行了性能分析。系统性能的估计依赖于水声通道模型,该模型涉及从陆架带到深海的快速过渡,包括射线模式和通道脉冲响应。在这种200-600毫秒的条件下,混响对在这种窄带内高效的命令和数据传输数字系统提出了特定的设计要求。在严格的多路径下,达到了20比特/秒的比特率。
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引用次数: 5
A Study of Data Visualization of the Neo-coronary Pneumonia Epidemic 新冠肺炎疫情数据可视化研究
Pub Date : 2020-10-23 DOI: 10.1109/ECICE50847.2020.9301964
Xiaoquan Ou, Zuying Zhu, Junyan Chen, W. Xiao
The development of science and technology and the innovation of network technology enable big data technology. In the pandemic of coronary pneumonia in 2020, complex and large scale epidemic data, data analysis, and processing play an important role. Data visualization shows the advantages of rapid processing and intuitive display of data analysis, which helps people accurately and objectively predict the direction of the epidemic. This paper aims to create display pages on the front end of the epidemic data website with HTML, CSS, and JavaScript. The Flask framework of python is used to build a server to process the data on the back end. At the same time, ECharts is used to visualize and analyze the data, which finally displays the status and trend of the epidemic in each region in real-time.
科技的发展和网络技术的创新使大数据技术成为可能。在2020年冠状病毒肺炎大流行中,复杂、大规模的疫情数据、数据分析和处理发挥着重要作用。数据可视化显示了数据分析快速处理和直观显示的优势,有助于人们准确、客观地预测疫情走向。本文旨在利用HTML、CSS和JavaScript在疫情数据网站前端创建显示页面。python的Flask框架用于构建服务器来处理后端数据。同时利用ECharts对数据进行可视化分析,最终实时显示各地区疫情的现状和趋势。
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引用次数: 1
Applying Machine Learning to Design and Evaluate White Noise Recommendation System for Insomniacs 应用机器学习设计与评价失眠症患者白噪声推荐系统
Pub Date : 2020-10-23 DOI: 10.1109/ECICE50847.2020.9301974
Nai-Wun Jhang, Yu-Hsiu Hung, Yang-Cheng Lin, You-Hsun Wu
Many sleep problems have occurred due to changes in the modern lifestyle. Insomnia is more serious than other sleep disorders. Insomnia increases the risk of depression, obesity, and cardiovascular diseases when it is not treated properly. Nowadays, most sleep therapies involve drugs that cause side effects on. For non-drug therapies, certain sounds assist sleep. However, as the sound is subjective, it is difficult to determine the sound suitable for each individual. This research designs an application that recommends white noise to insomniacs. For the application, we use machine learning technology for white noise recommendation and the design method for the user interface. For the experiment, we conduct a randomized controlled experiment and a five-day sleep experiment. This experiment verifies the effectiveness of the recommended white noise for sleep improvement. In addition to sleep assessment, we also use the system usability scale and semi-structured interviews to validate this system’s usability and willingness. The result shows that white noise improves deep sleep and reduces the time to fall asleep. Moreover, the usability score of this application is much higher than the passing score of the scale.
现代生活方式的改变导致了许多睡眠问题。失眠比其他睡眠障碍更严重。如果治疗不当,失眠会增加患抑郁症、肥胖症和心血管疾病的风险。现在,大多数睡眠疗法都使用会对睡眠产生副作用的药物。对于非药物疗法,某些声音有助于睡眠。然而,由于声音是主观的,很难确定适合每个人的声音。本研究设计了一个向失眠症患者推荐白噪音的应用程序。对于应用,我们使用机器学习技术进行白噪声推荐和用户界面的设计方法。在实验中,我们进行了随机对照实验和为期五天的睡眠实验。本实验验证了推荐的白噪音对改善睡眠的有效性。除了睡眠评估,我们还使用系统可用性量表和半结构化访谈来验证该系统的可用性和意愿。结果表明,白噪音能改善深度睡眠,减少入睡时间。此外,该应用程序的可用性得分远高于量表的及格分数。
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引用次数: 0
Ultrasonic generator for the piezoelectric transducer in IoT 物联网中用于压电换能器的超声波发生器
Pub Date : 2020-10-23 DOI: 10.1109/ECICE50847.2020.9302001
Hung-Yih Tsai, Lin Yu-Jen, Kuo-Ching Chiu
An IoT ultrasonic generator for the ultrasonic machining system is studied and developed. We used an embedded system to construct an IoT node. The embedded system controls a switch-amplifier that amplifies the power for alternating current excitation signal. The system realizes the functions of frequency sweep, lock, and tracking through the phase angle and the current signal feedback. The experiment results show the IoT ultrasonic generator can monitor the system, remote control, record the current and the phase angle. Moreover, this equipment has automated and smart manufacturing with promising potential for further improvement makes the designed circuit suitable for future practical applications.
研究开发了一种用于超声加工系统的物联网超声发生器。我们使用嵌入式系统构建物联网节点。嵌入式系统控制一个开关放大器,该开关放大器放大交流励磁信号的功率。系统通过相位角和电流信号反馈实现扫频、锁定、跟踪等功能。实验结果表明,物联网超声波发生器可以实现对系统的监控、远程控制、电流和相位角的记录。此外,该设备具有自动化和智能制造,具有进一步改进的潜力,使设计的电路适合未来的实际应用。
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引用次数: 0
Implementation of Miniaturized Monolithic Isolated Gate Driver 小型化单片隔离栅极驱动器的实现
Pub Date : 2020-10-23 DOI: 10.1109/ECICE50847.2020.9301940
Hsuan-Yu Kuo, Jau-Jr Lin
Gate drivers are extensively used in many applications such as DC to AC inverters, switch controlling of battery charging, and AC to AC converters. All require a gate signal to drive the MOSFET. However, traditional drivers use optically coupling components to achieve a high level of isolation, which creates disadvantages like power consumption, large size, and low integration levels. Thus, this paper proposes a different solution that uses an on-chip transformer to provide power isolation instead of an optically coupling component. Moreover, the oscillator, transformer, rectifier, and data buffer can all be integrated into a single chip. In other words, the size of the driver can be reduced and its integration level can be increased. When compared with the traditional design, this circuit does not use the discrete solution method for power isolation, so it is not susceptible to external noise interference.
栅极驱动器广泛应用于直流到交流逆变器、电池充电开关控制、交流到交流变换器等领域。所有这些都需要栅极信号来驱动MOSFET。然而,传统的驱动器使用光耦合组件来实现高水平的隔离,这会产生功耗、大尺寸和低集成度等缺点。因此,本文提出了一种不同的解决方案,即使用片上变压器来提供电源隔离,而不是光耦合组件。此外,振荡器、变压器、整流器和数据缓冲器都可以集成到一个芯片上。换句话说,可以减小驱动器的尺寸,提高其集成度。与传统设计相比,该电路不采用离散解方法进行电源隔离,因此不容易受到外界噪声的干扰。
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引用次数: 1
A Smart Simulation System for Manufacturing 面向制造业的智能仿真系统
Pub Date : 2020-10-23 DOI: 10.1109/ECICE50847.2020.9301939
Ting-Hsuan Chien, Cheng-Yan Siao, Rong-Guey Chang
In this paper we present a software system to simulate manufacturing in a real-time remote manner. The system contains real-time communication and simulation models. People who work on designing a production line can use this system to simulate the interaction between robots and other machines, observe and control the robots in the factory, prevent or reduce the severity of a collision. In summary, our system can not only improve the working efficiency and security but also keep the cost down.In the process of implementing our models, we proposed several methods to overcome some technical problems and to improve the performance. In the communication model, two proposed methods: messaging server (MS) and database semaphore, will be used to handle the peer-to-peer (P2P) connections and the real-time controlling. We also introduce the parallel programming and the general purpose GPU (GPGPU) into the simulation. In order to speed up the computation and the object drawing, all these methods make our system more precise, stable and faster than other approaches.Finally, we test and verify our system in the actual use, by simulating the real robots and connecting to the controllers in the real environment; the result shows our system is robust, fast and trustworthy in real-world use of smart manufacturing.
本文提出了一个实时远程制造仿真软件系统。该系统包含实时通信模型和仿真模型。从事生产线设计的人员可以使用该系统模拟机器人与其他机器之间的相互作用,观察和控制工厂中的机器人,防止或减少碰撞的严重程度。综上所述,我们的系统不仅提高了工作效率和安全性,而且降低了成本。在实现模型的过程中,我们提出了几种方法来克服一些技术问题,提高性能。在通信模型中,提出了两种方法:消息服务器(MS)和数据库信号量来处理点对点(P2P)连接和实时控制。在仿真中还引入了并行编程和通用图形处理器(GPGPU)。为了提高计算速度和物体绘制速度,这些方法使我们的系统比其他方法更加精确、稳定和快速。最后,我们在实际使用中对系统进行了测试和验证,模拟了真实的机器人,并在真实环境中连接了控制器;结果表明,该系统在智能制造的实际应用中具有鲁棒性、快速性和可靠性。
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引用次数: 0
Optimizing Machining Time and Oscillation based on Digital Twin Model of Tool Center Point 基于刀具中心点数字孪生模型的加工时间和振荡优化
Pub Date : 2020-10-23 DOI: 10.1109/ECICE50847.2020.9301988
Ben-Fong Yu, J. Chen
This paper proposes the machining time optimization and surface quality improvement based on a digital twin model of machine tools. This model considers servo loops, feed drive system, and tool center point (TCP) effects which were constructed simultaneously. The frequency response of the actual machine was excited by a swept sinusoidal waveform then the digital twin model was identified. Finally, the parameters of controller tuned on digital twin model to achieve the optimizing machining time and decrease the oscillation of TCP.
提出了一种基于数字孪生模型的机床加工时间优化和表面质量改进方法。该模型同时考虑了伺服回路、进给驱动系统和刀具中心点效应。用扫频正弦波形激励实际机床的频率响应,然后识别数字孪生模型。最后,采用数字孪生模型对控制器参数进行整定,实现了加工时间的优化,减小了TCP的振荡。
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引用次数: 0
High Transparent Hydrophilic Photocatalytic Thin Film on Glass using Rapid Plasma Modification 快速等离子体改性玻璃表面高透明亲水性光催化薄膜
Pub Date : 2020-10-23 DOI: 10.1109/ECICE50847.2020.9301980
F. Chu, L. Y. Wang, Z. F. Wang, Y. Wu, C. Tsai
N-doping TiO2-SiO2 nanofilm on glass has been successfully produced via the sol-gel dip-coating technique and modified by a rapid microwave plasma-nitridation process at 1200 W for 1 min. The film properties are simultaneously reaching the high transmittance of film/glass (> 90%), high hardness (8H), and high adhesion (5B). Moreover, the self-cleaning and anti-fogging applications of the film/glass can be easily achieved by visible photo-induced superhydrophilicity and photocatalysis for application within in weak or nonexistent UV light irradiation environments.
采用溶胶-凝胶浸渍-镀膜技术在玻璃表面成功制备了n掺杂TiO2-SiO2纳米膜,并采用快速微波等离子体氮化工艺在1200 W下进行1 min改性,膜的性能同时达到了膜/玻璃的高透光率(> 90%)、高硬度(8H)和高附着力(5B)。此外,薄膜/玻璃的自清洁和防雾应用可以很容易地通过可见光诱导的超亲水性和光催化在弱或不存在紫外光照射的环境中实现。
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引用次数: 0
Innovative Remote Sensing System Measuring Microclimate of Street Canyon 街道峡谷小气候遥感测量创新系统
Pub Date : 2020-10-23 DOI: 10.1109/ECICE50847.2020.9302022
Chia-Hsing Chen, Ko-Chiu Wu
This research aims to find a way to directly measure the influence of a street canyon on the urban heat island effect. We designed and implemented an innovative system of small-sized IoT devices of remote sensing on the drone to carry out the urban space measurement of the thermal environment. The result was presented with 3D geographic information visualization interface which can be used for urban microclimate researches.
本研究旨在寻找一种直接测量街道峡谷对城市热岛效应影响的方法。我们在无人机上设计并实现了一套创新的小型物联网遥感设备系统,用于开展城市空间热环境测量。研究结果为城市小气候研究提供了三维地理信息可视化界面。
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引用次数: 0
Cerberus: A Novel Alerting System for Flood, Fire, and Air Quality Cerberus:一种新颖的洪水、火灾和空气质量警报系统
Pub Date : 2020-10-23 DOI: 10.1109/ECICE50847.2020.9302013
Satvik Dasari
According to the NHTSA, an average of 384 fatalities occur annually in the United States due to drowning while driving. The California wildfires in 2017 caused a property loss of $13 billion, 46 lives, and injuries to hundreds more. Most of the current alerting mechanisms are expensive and deficient in features for detecting floods at road crossings, wildfires, and air quality. The current fire alerting systems cost thousands of dollars, but they are not multi-purpose and compatible with smart city infrastructure. Also, the current flood alerting systems cost tens of thousands of dollars, are radio frequency-based, and require large antennas, but only provide a limited range. This paper proposes an innovative system, Cerberus, to provide early warnings for fires, floods, and air quality using an IoT device, sensors, cloud, and mobile technologies. The solution provides a Red-Yellow-Green light system for local alerts and a mobile app to alert users about unsafe water levels, fire, and air quality. All the data collected by Cerberus is stored in the cloud and used for other types of alerts such as voice calls, text alerts, and emails. The Cerberus warning system is low-cost, accurate, easy to maintain, and scalable to thousands of locations. The warning system is also integrated with an analytics platform that shows trends and historical data. The prototype was validated in the field using real data. The results show that Cerberus is a viable solution for providing accurate and reliable alerts for floods, wildfires, and air quality.
根据国家公路交通安全管理局的数据,美国每年平均有384人死于开车时溺水。2017年加州野火造成130亿美元的财产损失,46人死亡,数百人受伤。目前大多数警报机制都很昂贵,而且缺乏检测十字路口洪水、野火和空气质量的功能。目前的火灾报警系统耗资数千美元,但它们不是多用途的,也不能与智慧城市基础设施兼容。此外,目前的洪水预警系统耗资数万美元,基于无线电频率,需要大型天线,但只能提供有限的范围。本文提出了一个创新系统,Cerberus,通过物联网设备、传感器、云和移动技术为火灾、洪水和空气质量提供早期预警。该解决方案为当地警报提供了一个红黄绿灯系统,并提供了一个移动应用程序,提醒用户注意不安全的水位、火灾和空气质量。Cerberus收集的所有数据都存储在云中,并用于其他类型的警报,如语音呼叫、文本警报和电子邮件。Cerberus预警系统成本低,准确,易于维护,可扩展到数千个地点。该预警系统还集成了一个分析平台,可以显示趋势和历史数据。利用现场实测数据对样机进行了验证。结果表明,Cerberus是为洪水、野火和空气质量提供准确可靠警报的可行解决方案。
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引用次数: 0
期刊
2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)
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