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

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Dynamic Creep Phenomenon on Polymer Cable with Non-linear Characteristics for Cable-driven Parallel Robots 缆索驱动并联机器人非线性特性聚合物缆索的动态蠕变现象
Pub Date : 2020-10-23 DOI: 10.1109/ECICE50847.2020.9301912
Dich-Vu Ngoc Kieu, Shyh-Chour Huang
Cable-driven parallel robots (CDPRs) are widely used in precision industries owing to more advantages such as large work-space, lightweight, and high velocity. A CDPR is actuated by polymer cables connected to an end-effector. However, the polymer cables for CDPRs have complex non-linear characteristics including structural elongation, hysteresis, and dynamic creep. These characteristics of the cables cause the non-linearly change of cable length, which makes the position error of the end-effector. In this research, we propose a nonlinear dynamic model based on the viscoelastic cable dynamic model to describe dynamic creep behaviors. The dynamic model is easily integrated with a scheme position control to increase the accuracy by compensating errors by cable elongation.
电缆驱动并联机器人具有工作空间大、重量轻、速度快等优点,在精密工业中得到了广泛的应用。CDPR是由连接到末端执行器的聚合物电缆驱动的。然而,用于cdpr的聚合物电缆具有复杂的非线性特性,包括结构伸长、迟滞和动态蠕变。电缆的这些特性导致了电缆长度的非线性变化,从而造成了末端执行器的位置误差。在本研究中,我们提出了一个基于粘弹性索动力模型的非线性动力模型来描述动态蠕变行为。该动态模型易于与方案位置控制相结合,通过电缆伸长补偿误差来提高精度。
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引用次数: 2
Intelligent Diagnosis for Cutting Processes 切割过程智能诊断
Pub Date : 2020-10-23 DOI: 10.1109/ECICE50847.2020.9301978
T. Chan, Hsin-Hsien Lin, Yu-Chuan Wang, Chang-Chia Chuan, Han-Huel Lin
Because of the requirements of automated processing, the cutting status of a tool should be monitored in real-time to find out the processing quality in advance and detect cutting abnormalities in time. Thus, we developed an application called APP for tool-life management and damage detection to help operators control the timing of tool replacement and avoid time-delays and loss after damage to the product. The proposed system consists of two sub-systems: an electronic system (to capture signals) and a software system (APP). The electronic system has an accelerometer, a signal capture card, a current sensor, and a temperature sensor. The software system has operating interfaces, data visualization, and early warning systems. The principal component analysis uses a linear combination with the largest variance. The eigenvalues and eigenvectors can be obtained by drawing a slope diagram of the number of principal components by eigenvalues. The point when the slope changes significantly can be used as the selected monitoring characteristic parameter. To reduce the manpower required for follow-up processing, the proposed system can be combined with different controllers to achieve customized parameter adjustment. Unmanned control can ensure processing efficiency and quality.
由于自动化加工的要求,需要对刀具的切削状态进行实时监控,提前发现加工质量,及时发现切削异常。因此,我们开发了一个名为APP的应用程序,用于工具寿命管理和损坏检测,以帮助操作人员控制工具更换的时间,避免产品损坏后的时间延迟和损失。该系统由两个子系统组成:一个电子系统(捕获信号)和一个软件系统(APP)。电子系统有一个加速度计、一个信号采集卡、一个电流传感器和一个温度传感器。软件系统具有操作界面、数据可视化和预警系统。主成分分析使用最大方差的线性组合。特征值和特征向量可以通过绘制主成分个数与特征值的斜率图得到。选取坡度变化较大的点作为监测特征参数。为了减少后续处理所需的人力,本文提出的系统可以与不同的控制器相结合,实现自定义参数调整。无人控制,保证加工效率和质量。
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引用次数: 0
Unity 3D Game for Senior’s Knee Maintenance Unity 3D游戏为老年人的膝盖维护
Pub Date : 2020-10-23 DOI: 10.1109/ECICE50847.2020.9302011
Yen-Chang Chen, Shun-Nian Luo, Tun Kang
Knee Osteoarthritis is a common disease in middle-aged and elderly people. We develop an entertainment-education Unity3D game connected to an electric puller with moisture absorption and scraping function which promotes knee maintenance. The fun of the game encourages users to learn more about the knowledge of knee-joint maintenance. We investigate a group of middle-aged and elderly people for over 2 months during which the activities of knee-joint maintenance were integrated into the four modes of the game: massage, cave-finger pressure, slapping, and cupping therapy. The empirical research together with Logistic Regression analysis shows that the effects of all of the four game-modes are statistically significant. In particular, 64.91% of the participants reduced their knee pain. This proves that the game of knee maintenance relieves the pain. A further upgrade of the fun and entertainment of our games is expected to receive attention from more users and consequently to benefit many more patients.
膝关节骨性关节炎是中老年人的常见病。我们开发了一个娱乐教育的Unity3D游戏,连接一个具有吸湿和刮刮功能的电动拉杆,促进膝盖保养。游戏的乐趣鼓励用户学习更多有关膝关节保养的知识。我们对一组中老年人进行了为期2个多月的调查,将膝关节维护活动纳入游戏的四种模式:按摩、穴指压、拍打、拔罐治疗。实证研究和Logistic回归分析表明,四种博弈模式的影响均具有统计学意义。特别是,64.91%的参与者减轻了膝盖疼痛。这证明了游戏的膝关节保养可以缓解疼痛。我们希望进一步提升游戏的趣味性和娱乐性,从而得到更多用户的关注,从而使更多的患者受益。
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引用次数: 1
The Design and Implementation of A Delivery System 一个交付系统的设计与实现
Pub Date : 2020-10-23 DOI: 10.1109/ECICE50847.2020.9301993
Cheng-Yan Siao, Jhe-Wei Lin, Rong-Guey Chang
Nowadays, robots have been applied to a variety of applications and industries. The rapid growth promotes the development of various robots for our life. For example, the huge labor work may be replaced with a robot in the catering industry. During the process, we observe if some routine jobs can be performed by a robot instead of people, then the performance can be improved and the cost can be saved. Especially, the meal delivery is a typical example that can be replaced by a robot. As a result, we address this issue by designing and implementing a meal delivery system. In contrast to existing meal delivery systems, our system allows consumers to take their own meals without waiters. In order to make our system user friendly, AGV (Automatic Guided Vehicle) and a robotic arm assembled by us are integrated to develop this system.In order to achieve the goal mentioned above, we aim at proposing a novel approach for the proposed system for the following stages. First, we try to construct a map of an environment for a robot because most food environments are indoors. Furthermore, we construct scenes for surrounding objects with laser sensors. Second, this map is applied to indoor navigation along the shortest path computed by the global planning. Third, the regional planning is applied to plan paths to avoid obstacles. Finally, we present a method to let a robot put a meal on the table by detecting its height first. In order to perform this action, we use an icon of the edge of a table.The proposed work can really provide a service while delivering a meal in a restaurant. Customers in a restaurant are unnecessary to taking a meal by themselves to replace waiters. As a result,, the sharing of labor saving time is achieved. The experiment shows that our work is really suitable for catering applications.
如今,机器人已被应用于各种应用和行业。快速增长促进了我们生活中各种机器人的发展。例如,在餐饮行业,大量的劳动工作可能会被机器人所取代。在这个过程中,我们观察到如果一些日常工作可以由机器人代替人来完成,那么就可以提高性能,节省成本。特别是送餐服务是一个可以被机器人取代的典型例子。因此,我们通过设计和实现一个送餐系统来解决这个问题。与现有的送餐系统相比,我们的系统允许消费者在没有服务员的情况下自己用餐。为了使我们的系统使用方便,我们将自动导引车(AGV)和我们组装的机械臂集成在一起开发了这个系统。为了实现上述目标,我们旨在为以下阶段的拟议系统提出一种新的方法。首先,我们试图为机器人构建一个环境地图,因为大多数食物环境都在室内。此外,我们利用激光传感器构建周围物体的场景。其次,将该地图应用于室内导航,沿着全局规划计算出的最短路径进行导航。第三,运用区域规划对路径进行规划,避开障碍物。最后,我们提出了一种方法,让机器人先检测其高度,让它把食物放在桌子上。为了执行此操作,我们使用表边缘的图标。提议的工作可以在餐馆送餐时提供真正的服务。在餐馆里,顾客不需要自己吃饭来代替服务员。从而实现了省力时间的共享。实验表明,我们的工作确实适用于餐饮应用。
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引用次数: 4
NFC Convenient Application: A Case of Personal Health Record NFC便捷应用:一个个人健康记录案例
Pub Date : 2020-10-23 DOI: 10.1109/ECICE50847.2020.9302003
Y. Weng
With the popularization of Near Field Communication (NFC), many mobile phones have built-in NFC functions, such as tag quick access, data transmission, identification, and micropayment, which makes personal health record (PHR) person-centered. It provides personal health-related information, customized preventive health information, and practices the concept of preventive care. However, due to the inconvenience of data input and concern of personal data leakage, the penetration rate of PHR has not been effectively increased. This paper uses NFC to provide PHR conveniently with a real-time input and authorization mechanism such as NFC tag writing, NFC tag input, quick start of NFC tag authorization, and a mobile phone NFC peer-to-peer authorization. Through the usage of NFC, the issue of inconvenient data input and data leakage of PHR can be solved. The result helps increase the utilization of PHR to practice the preventive care concept.
随着近场通信(NFC)技术的普及,很多手机都内置了标签快速存取、数据传输、身份识别、微支付等NFC功能,使得个人健康记录(personal health record, PHR)以人为本。它提供个人健康相关信息,定制预防健康信息,并实践预防保健的概念。然而,由于数据输入的不便和个人数据泄露的担忧,PHR的普及率并没有得到有效的提高。本文利用NFC为PHR提供了方便的实时输入和授权机制,如NFC标签写入、NFC标签输入、NFC标签授权快速启动、手机NFC点对点授权等。通过使用NFC技术,可以解决PHR数据输入不方便和数据泄露的问题。结果有助于提高初级医师的使用率,实践预防保健理念。
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引用次数: 0
Balance Rehabilitation System for Parkinson's Disease Patients based on Augmented Reality 基于增强现实的帕金森病患者平衡康复系统
Pub Date : 2020-10-23 DOI: 10.1109/ECICE50847.2020.9302018
Yi-Wen Wang, Chien-Hsu Chen, Yang-Cheng Lin
Parkinson’s disease (PD) has an average onset age of 55 years old. Its incidence increases with age. Due to an aging demographic, PD poses an increasing burden on patients and health care resources. PD causes tremors, rigidity, abnormal gait, postural instability, and freezing of gait. These symptoms diminish patients’ quality of life. Continuous rehabilitation of PD patients is more effective in the long term than either pharmacotherapy or surgical treatment. Nevertheless, a patient's motivation for rehabilitation suffers from the difficulties associated with the need for frequent visits to a rehabilitation center. The purpose of this study is to develop a serious game based on augmented reality for the rehabilitation of patients with PD. The game was designed to allow patients with PD to ambulate while following virtual visual cues in a real environment as well as incorporated levels with increasing difficulty. We assess improvements in gait and a sense of balance after 3 weeks of training. The results show that all patients have had improvements in these two outcomes. The results of this study provide references for future study and develop more or methods of playing rehabilitation games.
帕金森病(PD)的平均发病年龄为55岁。其发病率随着年龄的增长而增加。由于人口老龄化,帕金森病给患者和医疗资源带来越来越大的负担。PD引起震颤、僵硬、步态异常、姿势不稳定和步态冻结。这些症状降低了患者的生活质量。长期来看,PD患者的持续康复治疗比药物治疗或手术治疗更有效。然而,患者的康复动机会因为需要频繁访问康复中心而受到影响。本研究的目的是开发一个基于增强现实的严肃游戏,用于PD患者的康复。这款游戏的设计目的是让PD患者在真实环境中跟随虚拟视觉线索行走,并增加难度。我们评估3周训练后步态和平衡感的改善。结果显示,所有患者在这两方面都有所改善。本研究结果为今后的研究和开发更多的康复游戏方法提供了参考。
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引用次数: 7
Cerebrovascular Response to Carbon Dioxide during Hyperventilation for Patients with Postural Orthostatic Tachycardia Syndrome 体位性心动过速综合征患者过度通气时脑血管对二氧化碳的反应
Pub Date : 2020-10-23 DOI: 10.1109/ECICE50847.2020.9301915
Shyan-Lung Lin, S. Yeh, C. Chen, Chih-En Kuo, Yu-Liang Hsu
To study the impaired cerebral autoregulation mechanism of postural orthostatic tachycardia syndrome (POTS) patients under carbon dioxide, a nonlinear regression model was applied to evaluate their cerebrovascular responses to carbon dioxide (CO2). The cerebral blood flow (CBFV), end-tidal carbon dioxide (${{text{P}}_{{text{ETC}}{{text{O}}_2}}}$), and other cardiopulmonary signals were processed for each subject with a tilt table experiment and hyperventilation. The sigmoidal model for cerebrovascular responses to CO2 during the hyperventilation phase for POTS patients demonstrated an observable dissimilarity in comparison with control groups of healthy elders and healthy youths, especially in its range of change in CBFV.
为了研究二氧化碳作用下体位性心动过速综合征(POTS)患者大脑自动调节功能受损的机制,采用非线性回归模型评价其对二氧化碳(CO2)的脑血管反应。采用倾斜台实验和过度通气对各受试者的脑血流量(CBFV)、潮末二氧化碳(${{text{P}}_{{text{ETC}}{{text{O}}_2}}}$)及其他心肺信号进行处理。与健康老年人和健康青年对照组相比,POTS患者在过度通气阶段对CO2的脑血管反应的s型模型显示出明显的差异,特别是在CBFV的变化范围上。
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引用次数: 0
Implementation and Evaluation of Obstacle Recognition System for the Blind 盲人障碍物识别系统的实现与评价
Pub Date : 2020-10-23 DOI: 10.1109/ECICE50847.2020.9302019
Huijin Park, Jongwoo Lee
The visually impaired are exposed to many dangers while walking because of the lack of information on the various obstacles. In this paper, we proposed an obstacle recognition system that provides voice guidance in real-time for the visually impaired. The system informs on obstacles and finds locations of the obstacles such as traffic lights, bollards, and braille blocks. We developed an obstacle recognition system using Raspberry Pi and evaluated its performance by applying the system to a programmable remote control car. The performance evaluation proves that the system successfully avoids the obstacles and guide safely.
视障人士在行走时由于缺乏对各种障碍物的了解而面临许多危险。本文提出了一种为视障人士提供实时语音引导的障碍物识别系统。该系统通知障碍物,并找到障碍物的位置,如交通灯、护柱和盲文块。我们利用树莓派开发了一种障碍物识别系统,并将其应用于可编程遥控汽车上,对其性能进行了评估。性能评估表明,该系统成功地避开了障碍物,实现了安全导引。
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引用次数: 1
Digital Twin Framework for ADN Flexible Resources Assessment ADN灵活资源评估的数字孪生框架
Pub Date : 2020-10-23 DOI: 10.1109/ECICE50847.2020.9302004
Zejian Feng, Yu Wu, Huawei Gao, Shouzhen Zhu
The flexible resources of Active Distribution Networks (ADNs) is essential to increase both ADN's local flexibility but also flexibility capacities of the regional power system. More flexibility will help integration of large populations of Distributed Energy Resources (DER). In order to evaluate and improve the performance of investments on flexible resources, an assessment to the resource deployments and operation performances of ADN should be designed and executed. To step further, if this assessment can be executed persistently and continuously, it will help operators make operation decision. This article proposes a flexibility assessment scheme to monitor the effectiveness and functioning of the deployed ADN flexible resources. The scheme includes developing Digital Twin (DT) applications representing ADN. For simulation, real-world operating data are pumped from the physical distribution network (DN) to the DT applications. Performance indices of the status quo flexible resources are computed within our DT flexibility assessment framework. The main contribution of the proposed framework is to improve ADN flexibility planning and build a closed loop system including ADN planning, enactment, and operation. Further studies will focus on the typical scenario generations of Digital Twin.
主动配电网的柔性资源对于提高主动配电网的局部灵活性和区域电力系统的柔性能力至关重要。更大的灵活性将有助于大量分布式能源(DER)的整合。为了评估和改进柔性资源投资的绩效,需要设计和执行对ADN资源部署和运营绩效的评估。进一步说,如果这种评估能够持续、连续地执行,将有助于作业者做出作业决策。本文提出了一种灵活性评估方案,用于监测已部署的ADN灵活资源的有效性和功能。该方案包括开发代表ADN的数字孪生(DT)应用程序。对于仿真,实际运行数据从物理分配网络(DN)泵送到DT应用程序。在我们的DT灵活性评估框架内计算了现状柔性资源的性能指标。提出的框架的主要贡献是提高ADN灵活性规划,建立一个包括ADN规划、制定和运营的闭环系统。进一步的研究将集中在数字孪生的典型情景世代上。
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引用次数: 2
Predicting Surface Roughness using Keras DNN Model 利用Keras DNN模型预测表面粗糙度
Pub Date : 2020-10-23 DOI: 10.1109/ECICE50847.2020.9301928
Donthu Tejakumar, Mahardi, I-Hung Wang, K. Lee, Shinn-Liang Chang
In the manufacturing industries, computer vision techniques play an important role in predicting the surface roughness of the workpiece in turning operations. The regression method has become more popular in the implementation of deep learning as it is the most basic application and. In this study, a regression with Keras deep neural network model is used to accurately evaluate the correlation between surface image characteristics and actual surface roughness using the machining parameters and the gray level of the surface image. The obtained results showed that the Keras Deep Neural Network model with a training data set of 57 values has an average accuracy of 80.52 % for predicting surface roughness in turning operations.
在制造业中,计算机视觉技术在车削加工中预测工件表面粗糙度方面发挥着重要作用。回归方法在深度学习的实现中越来越受欢迎,因为它是最基本的应用。在本研究中,利用Keras深度神经网络模型的回归,利用加工参数和表面图像的灰度,准确评估表面图像特征与实际表面粗糙度之间的相关性。结果表明,基于57个训练数据集的Keras深度神经网络模型预测车削加工表面粗糙度的平均精度为80.52%。
{"title":"Predicting Surface Roughness using Keras DNN Model","authors":"Donthu Tejakumar, Mahardi, I-Hung Wang, K. Lee, Shinn-Liang Chang","doi":"10.1109/ECICE50847.2020.9301928","DOIUrl":"https://doi.org/10.1109/ECICE50847.2020.9301928","url":null,"abstract":"In the manufacturing industries, computer vision techniques play an important role in predicting the surface roughness of the workpiece in turning operations. The regression method has become more popular in the implementation of deep learning as it is the most basic application and. In this study, a regression with Keras deep neural network model is used to accurately evaluate the correlation between surface image characteristics and actual surface roughness using the machining parameters and the gray level of the surface image. The obtained results showed that the Keras Deep Neural Network model with a training data set of 57 values has an average accuracy of 80.52 % for predicting surface roughness in turning operations.","PeriodicalId":130143,"journal":{"name":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"169 1-4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126024873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
期刊
2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)
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