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2018 International Conference on System Science and Engineering (ICSSE)最新文献

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Method for Detection and Quantification of Non-Invasive Skin Sympathetic Nerve Activity 无创皮肤交感神经活动检测与定量方法
Pub Date : 2018-06-01 DOI: 10.1109/ICSSE.2018.8520024
Chun Liu, Johnson Wong, Anisiia Doytchinova, Peng-Sheng Chen, Shien‐Fong Lin
Sympathetic nerve activity is an important trigger of cardiac arrhythmia. Our laboratory recently developed a new method for non-invasive recording of the skin sympathetic nerve activity (SKNA) using conventional electrocardiography (ECG) patch electrodes. Recent studies showed that SKNA can adequately estimate sympathetic tone in humans. In order to improve the analysis of SKNA, we developed automatic standard assessment system based on the concept of microneurography and applied to non-invasive SKNA recording via 4 steps of signal processing. Every parameters in procedures can be manually selected by users in order to meet requirements. After using these signal processing, the results obtained by this system show improved nerve burst morphology and trend. Intuitive nerve discharge pattern and occurrence frequency can be automatically generated. Verification of the method with the cold water pressor test data further established the reliability and usefulness of the system. This new method offered a convenient tool to evaluate SKNA for comprehensive and detailed application in neurocardiology. The analysis system may facilitate the study between SKNA and cardiac arrhythmia, thus advance the field of neurocardiology research.
交感神经活动是心律失常的重要诱因。我们的实验室最近开发了一种使用传统心电图贴片电极无创记录皮肤交感神经活动(SKNA)的新方法。最近的研究表明,SKNA可以充分估计人类的交感神经张力。为了提高SKNA的分析水平,我们基于微神经摄影的概念开发了自动标准评估系统,并通过4个步骤的信号处理应用于无创SKNA记录。程序中的每个参数都可以由用户手动选择,以满足要求。利用这些信号处理后,系统得到的结果显示神经破裂形态和趋势有所改善。可自动生成直观的神经放电模式和发生频率。用冷水压机试验数据验证了该方法,进一步验证了系统的可靠性和实用性。这一新方法为SKNA在神经心脏病学的全面、详细应用提供了一种便捷的评价工具。该分析系统有助于研究SKNA与心律失常之间的关系,从而推动神经心脏病学研究领域的发展。
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引用次数: 3
Intelligent Robotic Lawn Mower Design 智能机器人割草机设计
Pub Date : 2018-06-01 DOI: 10.1109/ICSSE.2018.8520053
Kai-Sheng Wang, Chen-Kang Huang
Mowing is the most fundamental practice to maintain lawn. However, this can be a monotonous, troublesome and dangerous work. It is so parlous that stones and twigs can be thrown out to the operator. It is quite difficult for person to focus during the entire period of time and tragedy can occur. Currently, the sweeping robots are quite common on the market. But, it is not so general to robotic lawn mower. Robotic lawn mower is based on computer vision and several path planning algorithms. In this work, robotic lawn mower is designed that it will run two times to finish its job. At the first round, Simultaneous Localization and Mapping (SLAM) algorithm is the main method to realize the map building, and mower also record the area which is unmown adequately via the camera on the rear of mower. At the second round, mower aims to the area has been marked and move to the area by A* Search and Depth First Search (DFS) to realize the shortest path planning. Therefore, it can perform the better efficiency than other mower which adapted random algorithm and much intelligent.
割草是维护草坪最基本的做法。然而,这可能是一项单调、麻烦和危险的工作。它是如此危险,石头和小树枝可以扔向操作员。一个人很难在整个过程中集中注意力,悲剧就会发生。目前,扫地机器人在市场上相当普遍。但是,对于机器人割草机来说,它并不是那么普遍。割草机机器人是基于计算机视觉和多种路径规划算法的割草机。在这项工作中,机器人割草机被设计成可以运行两次来完成它的工作。在第一轮中,SLAM (Simultaneous Localization and Mapping)算法是实现地图构建的主要方法,割草机也通过割草机后部的摄像头对未割区域进行充分记录。在第二轮中,割草机瞄准已标记的区域,通过A*搜索和深度优先搜索(DFS)向该区域移动,实现最短路径规划。因此,它比其他采用随机算法的割草机具有更高的效率和更高的智能。
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引用次数: 8
Implementation of the State of Charge Estimation with Adaptive Extended Kalman Filter for Lithium-Ion Batteries by Arduino 基于自适应扩展卡尔曼滤波的锂离子电池充电状态估计的Arduino实现
Pub Date : 2018-06-01 DOI: 10.1109/ICSSE.2018.8520000
C. Kung, Si-Xun Luo, Sung-Hsun Liu
This study considers the use of Arduino to achieve state of charge (SOC) estimation of lithium-ion batteries by adaptive extended Kalman filter (AEKF). To implement a SOC estimator for the lithium-ion battery, we adopt a first-order RC equivalent circuit as the equivalent circuit model (ECM) of the battery. The parameters of the ECM will be identified through the designed experiments, and they will be approximated by the piecewise linear functions and then will be built into Arduino. The AEKF algorithm will also be programed into Arduino to estimate the SOC. To verify the accuracy of the SOC estimation, some lithium-ion batteries are tested at room temperature. Experimental results show that the absolute value of the steady-state SOC estimation error is small.
本研究考虑使用Arduino通过自适应扩展卡尔曼滤波(AEKF)实现锂离子电池的荷电状态(SOC)估计。为了实现锂离子电池的SOC估计,我们采用一阶RC等效电路作为电池的等效电路模型(ECM)。通过设计的实验确定ECM的参数,用分段线性函数逼近ECM的参数,然后内置于Arduino中。AEKF算法也将被编程到Arduino中来评估SOC。为了验证SOC估算的准确性,对一些锂离子电池在室温下进行了测试。实验结果表明,稳态荷电状态估计误差绝对值较小。
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引用次数: 2
Distributed Unknown Input Filtering for Systems with Unknown Inputs 未知输入系统的分布式未知输入滤波
Pub Date : 2018-06-01 DOI: 10.1109/ICSSE.2018.8520243
C. Hsieh
It is well known that, for model-free unknown input filtering (MUIF) the unknown inputs are generally reconstructed with a multi-step delay, which may yield multi-step delayed state and unknown input estimates. This certainly is unpractical for real-time state estimation problems. To solve this problem, the paper first proposes a distributed multi-step-delay state and input estimator (DMSDSIE) for a specific topology of network. Then, a real-time state estimator design of a certain MUIF application based on the DMSDSIE is developed. This research highlights a possibility to apply distributed filtering through a network to alleviate the time-delay estimation problem of a general simultaneous input and state estimation problem.
众所周知,对于无模型未知输入滤波(MUIF),未知输入通常是用多步延迟重构的,这可能会产生多步延迟状态和未知输入估计。这对于实时状态估计问题显然是不切实际的。为了解决这一问题,本文首先针对特定的网络拓扑结构提出了一种分布式多步延迟状态和输入估计器(DMSDSIE)。然后,开发了基于DMSDSIE的某MUIF应用的实时状态估计器设计。本研究强调了通过网络应用分布式滤波来缓解一般同步输入和状态估计问题的时延估计问题的可能性。
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引用次数: 1
The Design and Implementation of a Color Gradient 3D Printer with Multiple PLA Fusion 多聚乳酸融合彩色梯度3D打印机的设计与实现
Pub Date : 2018-06-01 DOI: 10.1109/ICSSE.2018.8520125
Shang-Wei Lin, Kuo-Yi Chen
In order to reach the goal of colorful 3D printing, a color gradient 3D printer is proposed in this paper, Users could choose the printed mode such as assigned specified color, random color, random of layer gradually and specified of layer gradually before creating objects by a FDM 3D printer. With the use of mobile device to send color setting data to the proposed devices which is designed for color change mechanism through Wi-Fie With receiving color and model information, the 3D printer's step motors could squeeze the assigned color to mix therefore, the proposed 3D printer could create the object with the color setting by users. In terms of color mixture, we specially designed a nozzle with three inputs and one output to make desired color by mixing CMY in the nozzle. The CMY filament mixed proportion is assigned from the calculated data output by the MCU. By using this calculated data to control step motor's action, and create the color chosen by the user in the app. Then we can print models with multiple colors that the users desire.
为了达到彩色3D打印的目的,本文提出了一种颜色渐变3D打印机,用户在使用FDM 3D打印机创建对象之前,可以选择指定颜色、随机颜色、逐渐随机层和逐渐指定层等打印模式。利用移动设备通过wi - fi将调色数据发送到设计有调色机制的设备上,3D打印机的步进电机接收到颜色和模型信息,将指定的颜色挤压混合,从而使3D打印机可以根据用户设置的颜色创建物体。在颜色混合方面,我们特别设计了一个三输入一输出的喷嘴,通过在喷嘴中混合CMY来获得想要的颜色。CMY灯丝混合比例由单片机计算输出数据分配。通过这些计算出的数据来控制步进电机的动作,并在应用程序中创建用户选择的颜色,然后我们可以打印出用户想要的多种颜色的模型。
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引用次数: 1
Social Networking Without Sacrificing Privacy 不牺牲隐私的社交网络
Pub Date : 2018-06-01 DOI: 10.1109/ICSSE.2018.8520188
Cui Yu, Avi Ginsberg
Social media is a De Facto standard in online communication. When users interact with others on a large scale, privacy plays an increasingly important part in maintaining safety and user confidence in a social media platform. Allowing end-users to control their interactions and data with others is a way to inspire end-user confidence. Many control schemes exist; however, they are flawed on two key points. These systems are somewhat confusing to the end users in that the users may not understand exactly what information is being shared with others and that the control schemes are hidden and abstract. In this project, we propose an idea with a prototype, named Solendar, that attempts to solve the issue with a special authorization approach. It has a pass system which allows end-users to explicitly specify which users are able to see and interact with their information on individual level. It has a group system that builds on the pass system, allowing end-users to organize other users into logical segments for effective information sharing while retaining the control of privacy.
社交媒体是在线交流的事实上的标准。当用户与他人进行大规模互动时,隐私在维护社交媒体平台的安全性和用户信心方面发挥着越来越重要的作用。允许最终用户控制与他人的交互和数据是激发最终用户信心的一种方式。存在许多控制方案;然而,它们在两个关键点上存在缺陷。这些系统对最终用户来说有些混乱,因为用户可能无法确切地理解与他人共享的信息,并且控制方案是隐藏的和抽象的。在这个项目中,我们提出了一个名为Solendar的原型的想法,它试图用一种特殊的授权方法来解决这个问题。它有一个通行证系统,允许最终用户显式指定哪些用户能够在个人级别上查看和交互他们的信息。它有一个建立在通行证系统基础上的组系统,允许最终用户将其他用户组织到逻辑段中,以实现有效的信息共享,同时保留对隐私的控制。
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引用次数: 1
Intelligent Mobile Robot Controller Design for Hotel Room Service with Deep Learning Arm-Based Elevator Manipulator 基于深度学习臂式电梯机械手的酒店客房服务智能移动机器人控制器设计
Pub Date : 2018-06-01 DOI: 10.1109/ICSSE.2018.8520030
Po-Yu Yang, Tzu-Hsuan Chang, Y. Chang, Bing-Fei Wu
Although mobile robots have achieved great success in indoor navigation, they are still facing problems like operating through multi-floor hotel buildings. In this paper, a low-cost and lightweight mobile robot is proposed for hotel room service. For delivering any item that customers need, the robot should be able to manipulate elevators in an unmanned hotels. So, it is separated into three parts: elevator button detection, coordinate transform and fuzzy logical control to manipulate the robotic arm. To recognize and detect a variety of elevator panels and buttons, a large number of the images are collected and labeled manually by ourselves. With state-of-the-art deep learning framework, our model has achieved 95.172 mean average precision (mAP) even in elevators that are not included in training data. After properly detecting the elevator buttons, the 3D position corresponding to each elevator button is transformed by the fusion of two sensors which are a mono-camera and a Lidar. This paper presents a coordinates transform neural network to estimate real world position, and our method achieves in an average distance error of 1.356 mm. The fuzzy logical controllers are designed for manipulating the robotic arm fast and smoothly.
尽管移动机器人在室内导航方面取得了巨大的成功,但它们仍然面临着通过多层酒店建筑等问题。本文提出了一种低成本、轻量化的酒店客房服务移动机器人。为了运送顾客需要的任何物品,机器人应该能够操纵无人酒店的电梯。因此,将其分为电梯按钮检测、坐标变换和模糊逻辑控制三个部分来实现对机械臂的操纵。为了识别和检测各种电梯面板和按钮,大量的图像是我们自己手工采集和标记的。使用最先进的深度学习框架,即使在未包含在训练数据中的电梯中,我们的模型也达到了95.172的平均精度(mAP)。在正确检测到电梯按钮后,通过单摄像头和激光雷达两个传感器的融合变换每个电梯按钮对应的三维位置。本文提出了一种坐标变换神经网络来估计真实世界的位置,该方法的平均距离误差为1.356 mm。为了快速、平稳地控制机械臂,设计了模糊逻辑控制器。
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引用次数: 13
Sentiment Analysis Process for Product's Customer Reviews Using Ontology-Based Approach 基于本体的产品客户评论情感分析过程
Pub Date : 2018-06-01 DOI: 10.1109/ICSSE.2018.8520261
Teerawat Polsawat, N. Arch-int, S. Arch-int, Apisak Pattanachak
Today, data in a vast number of social networks are abundantly utilized to help consumers make decisions in selecting products. While companies endeavor to analyze and interpret the multitude of customer opinions and sentiments, an accurate assessment becomes problematic. Many research studies encounter semantic conflicts of words or synonymous words, and errors occur within the SentiWordNet algorithm, when assessing both positive and negative words in some sentences. The present study, therefore, aims to solve the above-mentioned problems through DBpedia, and addresses the differences in word meanings, and to create a user interface for retrieving products in the form of keywords, in order to help consumers make decisions in selecting products. The efficiency measurement of sentiment analysis within the present study was 94%.
今天,大量社交网络中的数据被充分利用来帮助消费者做出选择产品的决定。当公司努力分析和解释大量的客户意见和情绪时,准确的评估就成了问题。许多研究遇到了词或同义词的语义冲突,并且在评估某些句子中的肯定词和否定词时,在SentiWordNet算法中出现了错误。因此,本研究旨在通过DBpedia解决上述问题,并解决词义差异,并以关键词的形式创建检索产品的用户界面,以帮助消费者在选择产品时做出决策。本研究中情绪分析的效率测量为94%。
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引用次数: 2
MeddyCall: A Prototype of Smart Household-Drug Vending Machines for Residential Buildings MeddyCall:智能家用药品自动贩卖机的原型
Pub Date : 2018-06-01 DOI: 10.1109/ICSSE.2018.8520200
Rathachai Chawuthai
Household drugs or home medicines are normally nonprescription drugs that every family should prepare for relieving sickness. However, as our survey, many small households having 1–3 members in apartments or dormitories do not have a well preparation of necessary household drugs, and the worse is that some drugs have been expired. To this end, this work proposes an approach to the development of a nonprescription-drug vending machine in a residential building for serving home medicine to all residents in the building. We also introduce a smart way to order and get drugs using the inter operability of an application, a vending machine, and a server. The implemented prototype demonstrates that our approach is possible and feasible to serve a better service for accessing home medicines.
家用药物通常是非处方药,每个家庭都应该准备用于缓解疾病。然而,根据我们的调查,许多1-3人住在公寓或宿舍的小家庭没有很好地准备好必要的家庭药品,更糟糕的是有些药品已经过期。为此,本研究提出了一种住宅楼非处方药自动售货机的开发方法,为该住宅楼的所有居民提供家庭医疗服务。我们还介绍了一种使用应用程序、自动售货机和服务器的互操作性来订购和获取药物的智能方法。实现的原型表明,我们的方法是可能和可行的,可以为获得家庭药物提供更好的服务。
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引用次数: 0
Towards Deploying the Wireless Charging Robots in Smart Environments 无线充电机器人在智能环境中的应用
Pub Date : 2018-06-01 DOI: 10.1109/ICSSE.2018.8520063
M. Shidujaman, H. Samani, M. Raayatpanah, Haipeng Mi, C. Premachandra
The purpose of this paper is to illustrate the development process of a Wireless Charging Robot (WCR) according to scenario-based design approach. In the previous work, we have introduced the prototype design and its working functionality as a combination of state of the art in the field of wireless power transmission and mobile robotics. The prototype has designed and examined for various usage scenarios. This work is within our research on WCR where we are attempting to develop an advanced WCR design, considering the example of various practical scenarios for the smart environment. A mobile robot is equipped with a wireless charger and navigates in the environment of various battery nodes in order to charge the network in an efficient way. Hence, we present a mathematical model to find the shortest route for WCR. Furthermore, we also address the cultural influence and reactions of wireless charging robot with a survey result based on country sociological impact.
本文旨在阐述基于场景设计方法的无线充电机器人(WCR)的开发过程。在之前的工作中,我们介绍了原型设计及其工作功能,将其作为无线电力传输和移动机器人领域最新技术的结合。原型已经针对各种使用场景进行了设计和检查。这项工作是在我们对WCR的研究中,我们正在尝试开发一种先进的WCR设计,考虑到智能环境的各种实际场景的例子。移动机器人配备无线充电器,在各种电池节点的环境中进行导航,以高效地为网络充电。因此,我们提出了一个寻找WCR最短路径的数学模型。此外,我们还通过基于国家社会学影响的调查结果来解决无线充电机器人的文化影响和反应。
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引用次数: 4
期刊
2018 International Conference on System Science and Engineering (ICSSE)
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