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2020 International Conference on Development and Application Systems (DAS)最新文献

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An Inventory of Voice Input Commands for Users with Visual Impairments and Assistive Smartglasses Applications 视觉障碍用户和辅助智能眼镜应用程序的语音输入命令清单
Pub Date : 2020-05-01 DOI: 10.1109/DAS49615.2020.9108915
Adrian Aiordachioae, O. Schipor, Radu-Daniel Vatavu
We present an inventory of voice commands to control assistive vision features on smartglasses. Toward this goal, we review 13 smartglasses prototypes designed for users with visual impairments, which we identified from a survey of more than 500 scientific papers and a survey of commercial smartglasses. We perform a meta-analysis of our findings according to a set of eleven categories of commands to effect for assistive smartglasses applications. Our results are useful to researchers and practitioners to inform design of voice input commands for smartglasses and users with visual impairments.
我们提出了一份控制智能眼镜辅助视觉功能的语音命令清单。为了实现这一目标,我们回顾了13个为视力障碍用户设计的智能眼镜原型,这些原型是我们从500多篇科学论文和对商业智能眼镜的调查中确定的。我们根据辅助智能眼镜应用程序的11类命令对我们的发现进行了荟萃分析。我们的研究结果对研究人员和从业人员为智能眼镜和视力障碍用户设计语音输入命令提供了有用的信息。
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引用次数: 10
Open Affordable Mixed Reality: A Manifesto 开放可负担的混合现实:宣言
Pub Date : 2020-05-01 DOI: 10.1109/DAS49615.2020.9108963
Emanuela Bran, E. Băutu, D. Popovici
This article describes the main traits of a proposed Mixed Reality (MR) platform designed to be used by the general public in order to create and share MR experiences. The purpose of this MR Platform is to provide interaction with the Internet of Everything (IoE). We embrace the Ubiquitous computing paradigm, where services follow the user seamlessly across physical locations. An emphasis is made on context awareness, which is central in designing a MR application, by anchoring the right multimodal content to the right circumstance. We aim at providing an architecture which splits awareness into four levels with respect to knowledge representation, in order to provide a tool for non-programmers to design applications.
本文描述了拟议的混合现实(MR)平台的主要特征,该平台旨在供公众使用,以创建和共享MR体验。该MR平台的目的是提供与万物互联(IoE)的交互。我们采用普适计算范式,在这种范式中,服务可以跨物理位置无缝地跟随用户。通过将正确的多模态内容锚定在正确的环境中,强调上下文感知,这是设计MR应用程序的核心。我们的目标是提供一种体系结构,该体系结构根据知识表示将感知分为四个层次,以便为非程序员提供设计应用程序的工具。
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引用次数: 1
Classification of Sensorimotor Rhythms Based on Multi-layer Perceptron Neural Networks 基于多层感知器神经网络的感觉运动节律分类
Pub Date : 2020-05-01 DOI: 10.1109/DAS49615.2020.9108910
Roxana Toderean
Sensorimotor rhythms are represented by mu rhythm with 8-12Hz frequency band and beta rhythm with the 12-30Hz frequency range. The movement or preparation of the movement is typically accompanied by a decrease of the mu and beta rhythms, especially in the contralateral area of the movement, which is a piece of very important knowledge for the implementation of a brain computer interface. The EEG signal was recorded using 8 active electrodes placed in the motor areas of the scalp. Features extraction was performed by decomposing the original signal in subcomponents signal with the frequency band in the interest range using multiresolution wavelet analysis based Daubechies wavelets. Multi-layer perceptron neural networks (MLP-NN) method is utilized for the classification of the features. This classifier performs well, 95.45% was the maximum classification rate for the subjects involved in the study. The superiority of the classifier MLP-NN was sustained also by The Friedman Two-way Analysis of Variance (ANOVA) by Ranks Test.
感觉运动节奏由8-12Hz频带的mu节奏和12-30Hz频带的beta节奏表示。运动或准备运动通常伴随着mu和beta节奏的减少,特别是在运动的对侧区域,这是实现脑机接口的一个非常重要的知识。脑电图信号是通过放置在头皮运动区域的8个活动电极来记录的。利用基于多分辨率小波分析的Daubechies小波,将原始信号分解成兴趣频段内的子分量信号进行特征提取。利用多层感知器神经网络(MLP-NN)方法对特征进行分类。该分类器表现良好,95.45%为研究对象的最大分类率。通过弗里德曼双向方差分析(ANOVA)的秩次检验,MLP-NN分类器的优越性也得到了证实。
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引用次数: 0
DAS 2020 Index Authors DAS 2020索引作者
Pub Date : 2020-05-01 DOI: 10.1109/das49615.2020.9108950
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引用次数: 0
Development of Visible Light Communication System for Automotive Applications Based on Organic Light Emitting Diode Panels 基于有机发光二极管面板的汽车可见光通信系统的研制
Pub Date : 2020-05-01 DOI: 10.1109/DAS49615.2020.9108953
Lucian-Mihai Cosovanu, Adrian Done
Classical traffic light systems in various forms have served public transport for more than a hundred years now. Their basic principle is to inform drivers of all types of vehicles and also pedestrians of their current active status. The number of cars has increased drastically so that it is very common to get stuck in traffic in rush hours. The road infrastructures in cities use multiple lanes and also traffic lights to direct traffic and to ensure and safety. Today traffic lights can also be used simultaneously to establish communication between vehicles and infrastructure with the help of visible light communication (VLC). This new feature could be key in attempting to diminish road accidents with the use of important information. Real-time analysis of traffic information is required in order to pass relevant information to the driver. This can be gained with an interconnected infrastructure throughout the city. Therefore when a certain level of traffic is reached, redirection of traffic would prevent traffic jams, and also urgent messages like an incoming ambulance/fire truck/police car in the mission would be passed to drivers to allow free passage. In this era of information, informing prevents panic and also the sudden course of action. This paper describes the development of such capable traffic light, based on OLED decorative panels. The obtained traffic light system has been tested indoor for its suitability for vehicular applications.
各种形式的经典交通灯系统已经为公共交通服务了一百多年。它们的基本原理是告知所有类型车辆的驾驶员和行人他们当前的活动状态。汽车的数量急剧增加,因此在高峰时间堵车是很常见的。城市的道路基础设施使用多车道和红绿灯来指挥交通和确保交通安全。今天,交通信号灯也可以同时用于在可见光通信(VLC)的帮助下建立车辆和基础设施之间的通信。这项新功能可能是试图通过使用重要信息来减少交通事故的关键。为了将相关信息传递给驾驶员,需要对交通信息进行实时分析。这可以通过整个城市的互联基础设施来实现。因此,当交通达到一定水平时,交通重定向将防止交通堵塞,并且像救护车/消防车/警车等紧急信息也将传递给司机,以允许自由通行。在这个信息时代,告知可以防止恐慌和突然的行动。本文介绍了基于OLED装饰板的高性能交通灯的开发。所获得的交通灯系统已在室内进行了测试,以确定其适合车辆应用。
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引用次数: 3
On one context-free language for producer/consumer Petri net with the unbounded buffer 一种无上下文语言的生产者/消费者Petri网与无界缓冲区
Pub Date : 2020-05-01 DOI: 10.1109/DAS49615.2020.9108948
V. Mukhin, Vitalii Statkevych
We consider the producer/consumer Petri net and the context-free formal language that it generates. Nonregularity of the language is proved, the corresponding pushdown automaton and context-free grammar are obtained. The connection with the Dyck formal language is pointed out.
我们考虑生产者/消费者Petri网及其生成的与上下文无关的形式语言。证明了语言的非正则性,得到了相应的下推自动机和上下文无关语法。指出了与戴克形式语言的联系。
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引用次数: 0
Sensorless Control of PMSM using FOC Strategy Based on Multiple ANN and Load Torque Observer 基于多重神经网络和负载转矩观测器的FOC策略的永磁同步电机无传感器控制
Pub Date : 2020-05-01 DOI: 10.1109/DAS49615.2020.9108914
M. Nicola, C. Nicola, M. Duta
This article presents the sensorless control system of a Permanent Magnet Synchronous Motor (PMSM), where the speed controller consists of a Multiple - Artificial Neural Networks (M-ANN) and the rotor speed is provided by a Sliding Mode Observer (SMO). The performance of the proposed control system is presented in comparison with the classic Field Oriented Control (FOC) system. The implementation of a load torque observer allows the selection of a specially trained corresponding ANN to obtain optimum performance over the load torque variation ranges. The PMSM equations, the speed and load torque observers equations, the main blocks and control structures, their parameterizations and the results of the numerical simulations obtained are presented. The good results obtained as a result of the numerical simulations involving the use of the usual Simulink and Stateflow blocks, which can be implemented in embedded systems recommend the real-time implementation of the proposed PMSM control system.
本文介绍了永磁同步电机(PMSM)的无传感器控制系统,其中速度控制器由多人工神经网络(M-ANN)组成,转子速度由滑模观测器(SMO)提供。并与传统的场定向控制(FOC)系统进行了比较。负载转矩观测器的实现允许选择经过特殊训练的相应人工神经网络,以在负载转矩变化范围内获得最佳性能。给出了永磁同步电动机方程、转速和负载转矩观测器方程、主要模块和控制结构及其参数化和数值仿真结果。利用常用的Simulink和Stateflow模块进行了数值仿真,得到了良好的结果,可以在嵌入式系统中实现,表明所提出的永磁同步电机控制系统是实时实现的。
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引用次数: 9
Structural and Functional Synthesis of the Radioelectronic Means of a Pulsed NQR 脉冲NQR辐射电子手段的结构和功能合成
Pub Date : 2020-05-01 DOI: 10.1109/DAS49615.2020.9108939
A. Samila, S. Haliuk, Oleh Krulikovskyi
The principles of structural and functional synthesis of the radio-electronic means of a pulsed NQR are presented. To simulate signal transformations in the radio frequency paths of the spectrometer, an imitation model of the direct pulsed NQR observation method was developed in the MATLAB Simulink software. The feature of the proposed measuring setup is the implementation of all algorithms for digital processing and signal synthesis in the basis of one FPGA Cyclone IV. The NQR spectrum is reconstructed from the spin induction signal using the fast Fourier transform method.
介绍了脉冲NQR的结构和功能合成原理。为了模拟光谱仪射频路径中的信号变换,在MATLAB Simulink软件中建立了直接脉冲NQR观测方法的仿真模型。所提出的测量装置的特点是在一个FPGA Cyclone IV的基础上实现了数字处理和信号合成的所有算法。使用快速傅里叶变换方法从自旋感应信号重构NQR频谱。
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引用次数: 1
Experimental Results on the Accuracy of the Myo Armband for Short-Range Pointing Tasks Myo臂带近距离瞄准精度的实验研究
Pub Date : 2020-05-01 DOI: 10.1109/DAS49615.2020.9108916
Irina Popovici
We analyze the accuracy of a Thalmic Myo armband in regards to short-range pointing interfaces. Through an experiment with multiple trials, we investigate the factors that could have an impact on the recognition rate. We found that removing the armband between sessions of use and a small spatial distance between pointing locations have a negative impact on the accuracy. By applying an exploratory approach, we found a configuration with a 97.3% recognition rate.
我们分析了眼肌臂带在近距离指向接口方面的精度。通过多试验实验,探讨了影响识别率的因素。我们发现,在每次使用之间去除臂章和指向位置之间的小空间距离对精度有负面影响。通过应用探索性方法,我们找到了一个识别率为97.3%的配置。
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引用次数: 2
Sentiment Analysis from Students’ Feedback : A Romanian High School Case Study 基于学生反馈的情感分析:罗马尼亚高中个案研究
Pub Date : 2020-05-01 DOI: 10.1109/DAS49615.2020.9108927
D. Marcu, M. Danubianu
The education system is a source that generates significant amounts of data, daily, in various formats and, often, hiding valuable information. Finding a good way to unravel those hidden gems, represents one of the most challenging problems of natural language processing, namely sentiment analysis. This involves, applying NLP and text analysis techniques to identify and classify subjective opinions in different materials such as documents or sentences. In our work, we used as raw data, the opinions of students from eleven high schools in Suceava, related to various aspects of the educational process. They were collected through a Google Docs form, and analyzed through the Orange environment (an open source tool for machine learning and data visualization). In this paper, we make a comparative study of the obtained results using the Ekman and Plutchik models. Each model extracts from the analyzed texts, a different emotion, based on which the students’ sentiments towards the educational process will be analyzed.
教育系统是每天以各种形式产生大量数据的来源,而且往往隐藏着有价值的信息。找到一种好方法来解开这些隐藏的宝石,代表了自然语言处理中最具挑战性的问题之一,即情感分析。这包括应用自然语言处理和文本分析技术来识别和分类不同材料(如文档或句子)中的主观意见。在我们的工作中,我们使用了来自Suceava 11所高中的学生的意见作为原始数据,这些意见与教育过程的各个方面有关。这些数据是通过Google Docs表格收集的,并通过Orange环境(一种用于机器学习和数据可视化的开源工具)进行分析。本文用Ekman和Plutchik模型对所得结果进行了比较研究。每个模型从分析的文本中提取出一种不同的情感,以此为基础分析学生对教育过程的情感。
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引用次数: 6
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2020 International Conference on Development and Application Systems (DAS)
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