2017 IEEE International Workshop of Electronics, Control, Measurement, Signals and their Application to Mechatronics (ECMSM)最新文献_第3页

Blind quantum source separation and process tomography systems for time-varying coupling 时变耦合的盲量子源分离与过程层析成像系统

2017 IEEE International Workshop of Electronics, Control, Measurement, Signals and their Application to Mechatronics (ECMSM) Pub Date : 2017-05-01 DOI: 10.1109/ECMSM.2017.7945911

Y. Deville, A. Deville

{"title":"Blind quantum source separation and process tomography systems for time-varying coupling","authors":"Y. Deville, A. Deville","doi":"10.1109/ECMSM.2017.7945911","DOIUrl":"https://doi.org/10.1109/ECMSM.2017.7945911","url":null,"abstract":"Classical, i.e. non-quantum, blind source separation (BSS) methods estimate unknown source signals by using only mixed signals obtained by transferring these source signals through a mixing transform, which typically has unknown parameter values. We developed quantum versions of BSS (called BQSS) and we extended them to the blind estimation of the unknown mixing/coupling parameters, thus achieving blind quantum process tomography (BQPT). In these investigations, the mixing parameter values remained fixed over time. We here analyze configurations where they vary. We show that the operation of our previous system may then be extended to handle BQPT and simple BQSS configurations. BQSS with rapidly evolving mixtures is more complex, because the fundamental quantum no-cloning theorem entails that each quantum state available at the output of our separating system cannot be copied so as to be used as the inputs of both (i) the subsequent quantum system which exploits it and (ii) the block of our separating system which continuously uses these states to update the separating system parameter values. We avoid this issue by introducing a quite different BQSS system, which is based on a master-slave structure and performs parallel adaptation and source state restoration. The proposed approach is thus based on spin electronics for implementing the considered quantum states, and on an original control loop in the proposed master-slave structure, which requires a specific measurement procedure, due to the quantum nature of the signals to be processed. This paper therefore bridges the gap between advanced information processing functions (especially self-learning algorithms) and the physical devices, defined at the atomic level, required for implementing such computations.","PeriodicalId":358140,"journal":{"name":"2017 IEEE International Workshop of Electronics, Control, Measurement, Signals and their Application to Mechatronics (ECMSM)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131303194","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: 2

QoS in industrial wireless networks using LDM 基于LDM的工业无线网络的QoS

2017 IEEE International Workshop of Electronics, Control, Measurement, Signals and their Application to Mechatronics (ECMSM) Pub Date : 2017-05-01 DOI: 10.1109/ECMSM.2017.7945910

E. Arruti, M. Mendicute, M. Barrenechea

{"title":"QoS in industrial wireless networks using LDM","authors":"E. Arruti, M. Mendicute, M. Barrenechea","doi":"10.1109/ECMSM.2017.7945910","DOIUrl":"https://doi.org/10.1109/ECMSM.2017.7945910","url":null,"abstract":"One of the main challenges in mechatronics is to manage large amount of information data. This information is used to control the process, manage critical errors or perform maintenance actions. The traditional communication buses are wired buses which have great reliability. But with the revolution of industry 4.0, industry and mechatronic systems increased sensor and data acquisition nodes, from few devices to several sensors and actuators interconnected between them. In this new scenario the traditional wired communications systems are more complex to deploy and to maintain, and the trend is to replace wired by wireless systems, ensuring that the reliability of the wireless systems is comparable to the wired one. A communication system based on LDM (Layered Division Multiplexing) is proposed in this article to guarantee the reliability level of a wireless system where two types of data need to be transmitted over the same physical layer, critical data and non critical data. In order to prove that the proposed system is more reliable than the traditional TDM/FDM systems and can enhance throughput, BER and throughput simulations are provided.","PeriodicalId":358140,"journal":{"name":"2017 IEEE International Workshop of Electronics, Control, Measurement, Signals and their Application to Mechatronics (ECMSM)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123379819","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: 5

Linear acoustic echo cancellation using deep neural networks and convex reconstruction of incomplete transfer function 基于深度神经网络和不完全传递函数凸重构的线性声回波消除

2017 IEEE International Workshop of Electronics, Control, Measurement, Signals and their Application to Mechatronics (ECMSM) Pub Date : 2017-05-01 DOI: 10.1109/ECMSM.2017.7945913

Michael Müller, Jakub Janský, M. Bohac, Zbyněk Koldovský

{"title":"Linear acoustic echo cancellation using deep neural networks and convex reconstruction of incomplete transfer function","authors":"Michael Müller, Jakub Janský, M. Bohac, Zbyněk Koldovský","doi":"10.1109/ECMSM.2017.7945913","DOIUrl":"https://doi.org/10.1109/ECMSM.2017.7945913","url":null,"abstract":"Linear acoustic path estimation for acoustic echo cancellation is difficult during periods where the near-end signal (speech) is active. In this paper, we assume that the impulse response is sparse. There are many algorithms that solve the problem of estimating sparse impulse response in the time domain. In this paper, we propose algorithms working in the time-frequency domain. In our approach, it is assumed that the respective transfer function can be estimated only for those frequencies where the near-end signal is not active. First, a deep neural network trained on mixed signals is used to detect the activity of the near-end signal. In frequencies where no activity is detected, the acoustic transfer function is estimated using conventional frequency domain least squares. This results in an incomplete transfer function (ITF) estimate. The completion is done through finding the sparsest representation of the ITF in the time domain. This can be done adaptively using the soft-threshold function, which is applied in the time domain. To achieve improved accuracy, oversampling can be used.","PeriodicalId":358140,"journal":{"name":"2017 IEEE International Workshop of Electronics, Control, Measurement, Signals and their Application to Mechatronics (ECMSM)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121781932","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

Multiplex: A co-simulation architecture for elevators validation 多路复用:电梯验证的联合仿真体系结构

2017 IEEE International Workshop of Electronics, Control, Measurement, Signals and their Application to Mechatronics (ECMSM) Pub Date : 2017-05-01 DOI: 10.1109/ECMSM.2017.7945883

G. Sagardui, J. Agirre, Urtzi Markiegi, Aitor Arrieta, C. F. Nicolás, Jose-Maria Martin

引用次数: 9

Precision ultrasonic range sensor using one piezoelectric transducer with impedance matching and digital signal processing 采用单压电换能器进行阻抗匹配和数字信号处理的精密超声测距传感器

2017 IEEE International Workshop of Electronics, Control, Measurement, Signals and their Application to Mechatronics (ECMSM) Pub Date : 2017-05-01 DOI: 10.1109/ECMSM.2017.7945905

J. Kredba, Miroslav Holada

{"title":"Precision ultrasonic range sensor using one piezoelectric transducer with impedance matching and digital signal processing","authors":"J. Kredba, Miroslav Holada","doi":"10.1109/ECMSM.2017.7945905","DOIUrl":"https://doi.org/10.1109/ECMSM.2017.7945905","url":null,"abstract":"The simplicity of the fundamental principle of ultrasonic range sensors allows their wide use in many technical branches, such as mobile robotics, automotive or industrial automation. However, in most cases these sensors are able to provide only information about the distance to the nearest detectable object. This may limit their use in applications where other obstacles can be found in the vicinity of measured object. This paper presents one way of measuring distances to multiple objects with high precision by one piezoelectric ultrasonic sensor. Method, which is described in this paper, is based on digital signal processing, mainly on digital filtering and combination of cross-correlation and phase shifting methods. Only one piezoelectric transducer was used for transmitting and receiving ultrasonic waves to reduce the number of needed elements. The impedance matching circuit to the piezoelectric transducer was designed to increase signal to noise ratio and to improve measurement accuracy. These methods of acquired signal processing allowed measuring of multiple object distances with 1 mm resolution for more than 3 m by using low cost piezoelectric transducers with resonant frequency of 40 kHz.","PeriodicalId":358140,"journal":{"name":"2017 IEEE International Workshop of Electronics, Control, Measurement, Signals and their Application to Mechatronics (ECMSM)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129300613","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: 2

Physical and energy analysis of therapy applying low-dynamic magnetic fields 应用低动态磁场治疗的物理和能量分析

2017 IEEE International Workshop of Electronics, Control, Measurement, Signals and their Application to Mechatronics (ECMSM) Pub Date : 2017-05-01 DOI: 10.1109/ECMSM.2017.7945889

A. Richter, Ž. Ferková

引用次数: 7

Development of a new sensorless control algorithm for stepper motors to enhance speed stability and dynamics 一种新的无传感器步进电机控制算法的发展，以提高速度稳定性和动力学

2017 IEEE International Workshop of Electronics, Control, Measurement, Signals and their Application to Mechatronics (ECMSM) Pub Date : 2017-05-01 DOI: 10.1109/ECMSM.2017.7945873

M. Bianchi, Riccardo Colombo, Matteo Galbiati

引用次数: 0

Asymmetric low-power FHSS algorithm 非对称低功耗FHSS算法

2017 IEEE International Workshop of Electronics, Control, Measurement, Signals and their Application to Mechatronics (ECMSM) Pub Date : 2017-05-01 DOI: 10.1109/ECMSM.2017.7945892

Tomáš Jakubík, Jiri Jenícek

{"title":"Asymmetric low-power FHSS algorithm","authors":"Tomáš Jakubík, Jiri Jenícek","doi":"10.1109/ECMSM.2017.7945892","DOIUrl":"https://doi.org/10.1109/ECMSM.2017.7945892","url":null,"abstract":"This paper documents development and basic testing of an asymmetric FHSS network. Asymmetric in a way that the network HUB or master consumes a lot of power, while the peripherals or slaves consume as little power as possible. To achieve good consumption, the input only sensors are sleeping most of the time and quickly synchronize into the FHSS scheme upon an event. The main idea explored in this paper is that network master frequently sends periodical beacons with information needed to synchronize into the network. The created network enables the connection of input only peripherals with input response time of 400 ms, while keeping the cumulative current consumption of 4.27 µA. The network was created for simple GFSK transceivers CC1200, produced by TI, which are controlled by Cortex-M processors, STM32F0 and STM32L0, produced by ST. The intended bandwidth is an SRD band h1.1 commonly known as 868MHz band. The principles explored in this paper can be used with different transceivers, different modulations or different MCUs. Some of the measurements are specific for the used hardware, but the results should be easy to extrapolate to any platform of interest.","PeriodicalId":358140,"journal":{"name":"2017 IEEE International Workshop of Electronics, Control, Measurement, Signals and their Application to Mechatronics (ECMSM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131086130","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: 1

Deterministic real-time access point concepts for industrial hybrid Ethernet/IEEE 802.11 networks 工业混合以太网/IEEE 802.11网络的确定性实时接入点概念

2017 IEEE International Workshop of Electronics, Control, Measurement, Signals and their Application to Mechatronics (ECMSM) Pub Date : 2017-05-01 DOI: 10.1109/ECMSM.2017.7945909

Zaloa Fernández, Cristina Cruces, I. Val, M. Mendicute

{"title":"Deterministic real-time access point concepts for industrial hybrid Ethernet/IEEE 802.11 networks","authors":"Zaloa Fernández, Cristina Cruces, I. Val, M. Mendicute","doi":"10.1109/ECMSM.2017.7945909","DOIUrl":"https://doi.org/10.1109/ECMSM.2017.7945909","url":null,"abstract":"Technological advances in wireless sensors shed some light on the deployment of Industrial Wireless Sensor and Actuator Networks (IWSAN) for diverse applications in process automation due to their multiple advantages related to the reduction in wiring costs, implementation and maintenance. However, the most critical processes, like closed loop control applications which have shorter than 1 ms time cycle and a Packet Error Rate (PER) in the range of 10−9, still rely on wired connections. Due to this, new concepts that can compete and coexist without troubles with the correspondent wired solutions are necessary, especially those known as Real-Time Ethernet (RTE). So, this article focuses on analyzing the requirements of a deterministic access point (AP) with real-time characteristics that act as a bridge between wired RTE and wireless communication systems. The analysis will focus mainly on the design of the Medium Access Control (MAC) mechanism because this is largely the main responsible for guaranteeing the robustness and determinism required by industrial time-critical applications. To control the wireless segment of the hybrid network, the AP could implement the previously proposed Enhanced Priority MAC (EP-MAC) that support three traffic categories with different requirements related to latency. We conclude the paper showing some results obtained from numerical simulations. Provided results prove that the requirements of the proposed AP, together with EP-MAC, fulfill the tight timing constraints of industrial time-critical applications.","PeriodicalId":358140,"journal":{"name":"2017 IEEE International Workshop of Electronics, Control, Measurement, Signals and their Application to Mechatronics (ECMSM)","volume":"1209 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131773770","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: 4

Single channel speech enhancement using convolutional neural network 基于卷积神经网络的单通道语音增强

2017 IEEE International Workshop of Electronics, Control, Measurement, Signals and their Application to Mechatronics (ECMSM) Pub Date : 2017-05-01 DOI: 10.1109/ECMSM.2017.7945915

Tomás Kounovský, J. Málek

{"title":"Single channel speech enhancement using convolutional neural network","authors":"Tomás Kounovský, J. Málek","doi":"10.1109/ECMSM.2017.7945915","DOIUrl":"https://doi.org/10.1109/ECMSM.2017.7945915","url":null,"abstract":"Neural networks can be used to identify and remove noise from noisy speech spectrum (denoisisng autoencoders, DAEs). The DAEs are typically implemented using the fully-connected feed-forward topology. Usually one of the following possibilities is used as DA target: 1) Ideal frequency ratio mask, which is applied to noisy spectrum to estimate the clean speech spectrum (masking) or 2) Clean speech spectrum directly (mapping). Recent research in the area of automatic speech recognition shows that convolutional neural networks are very promising in speech modeling. In this paper we thus suggest, construct the DAs with the convolutional topology. We investigate the suitability of both above described target types and compare the results with the fully connected DAs. Our experiments indicate that mapping-based convolutional networks estimating log-power spectra achieve significant improvement over all competing topologies and target types. Performance gains of 8% in PESQ scores over the ideal ratio masking are observed. We also investigate the ability of DAEs to enhance speech of unseen language based on the language diversity of the training set. Our experiments suggest that training DAEs with language-diverse training sets does not yield any significant benefit for the task of speech enhancement.","PeriodicalId":358140,"journal":{"name":"2017 IEEE International Workshop of Electronics, Control, Measurement, Signals and their Application to Mechatronics (ECMSM)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115091310","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: 55