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2015 IEEE International Conference on Electro/Information Technology (EIT)最新文献

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Frame distance array algorithm parameter tune-up for TIMIT corpus automatic speech segmentation 帧距阵列算法在TIMIT语料库自动语音分割中的参数调整
Pub Date : 2015-05-21 DOI: 10.1109/EIT.2015.7293346
Y. Seddiq, Y. Alotaibi, S. Selouani
This work is related to unsupervised automatic speech segmentation. An experiment was carried out on the Frame Distance Array (FDA) algorithm with a main goal of the algorithm parameter tune-up. The experiment was carried out by applying the algorithm on TIMIT corpus and by using MFCC as the speech signal features. The parameters tuned up in this work are the frame length, the frame increment, the number of test frames and the test frame step size. The best combination of values was chosen based on the observations on the detection rate, the miss rate and the false boundary rate. The best parameter tune-up found at 23 ms, 1.5 ms, 9 frames and 2 frames for the frame length, the frame increment, the number of test frames and the test frame step size respectively.
这项工作与无监督自动语音分割有关。以帧距阵列(FDA)算法的参数调整为主要目标,对其进行了实验研究。将该算法应用于TIMIT语料库,并以MFCC作为语音信号特征进行了实验。在本工作中调整的参数是帧长、帧增量、测试帧数和测试帧步长。通过对检测率、缺失率和假边界率的观察,选择最佳值组合。最佳参数调整分别为23 ms、1.5 ms、9帧和2帧,分别为帧长、帧增量、测试帧数和测试帧步长。
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引用次数: 1
Critical electric field and self-heating in 3D SiC/Si MOSFETs 三维SiC/Si mosfet的临界电场和自加热
Pub Date : 2015-05-21 DOI: 10.1109/EIT.2015.7293417
Vamshi Veesam, Ramana Thakkallapally, I. Abdel-Motaleb, Zheng Shen
In this paper we evaluated the electric field and self-heating temperature of 3D 3C-SiC/Si MOSFETs. Using the numerical analysis simulator Silvaco Atlas, this device was found to have a critical electric field of 6.68×106 V/cm at a breakdown voltage close to 312V. Using COMSOL program, self-heating effect was investigated, and found that the temperature reached 866K at VDS=312V and VGS=5V.
本文研究了三维3C-SiC/Si mosfet的电场和自热温度。利用数值分析模拟器Silvaco Atlas,发现该器件在击穿电压接近312V时具有6.68×106 V/cm的临界电场。利用COMSOL程序对自热效应进行了研究,发现在VDS=312V和VGS=5V时,自热效应达到866K。
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引用次数: 0
Acceleration of ultrasonic data compression using OpenCL on GPU 在GPU上使用OpenCL加速超声波数据压缩
Pub Date : 2015-05-21 DOI: 10.1109/EIT.2015.7293358
Boyang Wang, Pramod Govindan, T. Gonnot, J. Saniie
Ultrasonic imaging applications require real-time acquisition and processing of huge volume of data. Subsequently, reducing the data storage becomes an essential requirement for applications involving ultrasound technology. Compression of the acquired data significantly reduces the storage and also helps in faster data processing. Furthermore, computationally efficient data compression enables real-time data transfer to remote locations for expert analysis. In this study, an efficient implementation of ultrasonic data compression based on discrete wavelet transform (DWT) is realized on GeForce GT 750M NVIDIA graphical processing unit (GPU) using Open Computing Language (OpenCL). Execution of OpenCL program on GPU allows parallel computing of the compression algorithm to accelerate the computational performance. This study demonstrates that OpenCL implementation of ultrasonic compression algorithm on GPU requires only 0.29 seconds for compressing 33 Mbytes of ultrasonic data into 6.6 Mbytes (80% compression), which makes it suitable for real-time ultrasonic imaging applications.
超声成像应用需要实时采集和处理海量数据。因此,减少数据存储成为超声技术应用的基本要求。对采集的数据进行压缩,可以显著减少存储空间,也有助于加快数据处理速度。此外,计算效率高的数据压缩使实时数据传输到远程位置供专家分析。本研究在GeForce GT 750M NVIDIA图形处理单元(GPU)上,利用开放计算语言(OpenCL)实现了基于离散小波变换(DWT)的超声波数据压缩的高效实现。OpenCL程序在GPU上的执行使得压缩算法可以并行计算,从而提高计算性能。本研究表明,在GPU上使用OpenCL实现超声压缩算法,仅需0.29秒即可将33mb的超声数据压缩为6.6 mb(压缩率80%),适合实时超声成像应用。
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引用次数: 4
Fault detection and classification for compensating network using combination relay and ANN 基于中继与人工神经网络的补偿网络故障检测与分类
Pub Date : 2015-05-21 DOI: 10.1109/EIT.2015.7293367
A. S. Altaie, J. Asumadu
The goal of this research is to focus and adopt a fast, accurate and reliable fault detection technique and classification method for the high voltage transmission line. The proposed method reduces the outage time and hence this eliminates any possible damage to the other parts of the system. First, detection of the fault is carried out using a new proposed technique that combines three type of relays. Second, the technique isolates the faulty part in a very fast time frame. Finally, classifying the fault is carried out by data recorded using Digital Signal Processing (DSP) and Artificial Neural Network (ANN) based on different ways. The input training data of the recording devices was sampled using Digital Signal Processing (DSP). In this research the data collected from the recorders will be used to classify the fault only because the time is not an important factor as in fault detecting and clearing. Also, all types of faults are investigated for the fault classification. Three methods are used (Phase Current sampling, Phase Shift of the Phase Voltage sampling and Phase Voltage sampling) to evaluate the efficiency, accuracy and the analysis the mean square error.
本研究的目的是针对高压输电线路,重点研究并采用一种快速、准确、可靠的故障检测技术和分类方法。所提出的方法减少了停机时间,从而消除了对系统其他部分的任何可能损坏。首先,采用一种结合三种类型继电器的新技术进行故障检测。其次,该技术在非常快的时间框架内分离出故障部件。最后,采用数字信号处理(DSP)和基于不同方法的人工神经网络(ANN)对记录的数据进行故障分类。采用数字信号处理(DSP)对录音设备的输入训练数据进行采样。在本研究中,记录仪采集的数据将仅用于故障分类,因为在故障检测和清除中,时间不是一个重要因素。此外,还研究了各种类型的故障,以进行故障分类。采用三种方法(相电流采样、相电压相移采样和相电压采样)来评价效率、精度和均方误差分析。
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引用次数: 8
Auralization of process and port status using program binaries to generate semantically meaningful non-fatiguing noise as canonical sound signals 使用程序二进制文件对进程和端口状态进行听觉化,以产生语义上有意义的非疲劳噪声作为规范声音信号
Pub Date : 2015-05-21 DOI: 10.1109/EIT.2015.7293430
R. Loui, Dylan Dozier, Evan Barber, J. Harish
We describe using auralization to monitor process stack and netstat status on a server or small group of servers. Using the auditory channel is especially useful for monitoring because it can be done without taking much attention. Our contribution is to suggest generating noise-like sounds that more naturally fade into the background, and are less fatiguing over long monitoring sessions. Although our noises are not musically or tonally interesting, they are nevertheless semantically identifiable and succeed in indicating changes of state.
我们描述了使用可视化来监视服务器或一小组服务器上的进程堆栈和netstat状态。使用听觉通道对监测特别有用,因为它可以在不花费太多注意力的情况下完成。我们的贡献是建议产生类似噪音的声音,这种声音更自然地消失在背景中,并且在长时间的监控过程中不那么令人疲劳。虽然我们的声音在音乐或音调上并不有趣,但它们在语义上是可识别的,并且成功地指示了状态的变化。
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引用次数: 0
A variant of connected dominating set in unit disk graphs for applications in communication networks 通信网络中应用的单元磁盘图中连通支配集的一种变体
Pub Date : 2015-05-21 DOI: 10.1109/EIT.2015.7293384
D. Djenouri, Miloud Bagaa
This paper considers a variant of the connected dominating set (CDS) problem in a unit disk graph G = (V, E). The considered problem consists in minimizing the number of CDS vertices that belong to a subset V' ⊆V. As far as we know, this problem has not been treated in the literature. Nevertheless, its resolution would be useful in many communication network applications, such as the selection of relay nodes in heterogenous wireless ad hoc networks where only a subset of powerful nodes (e.g., energy or memory rich nodes) may form the network backbone act as relays, or where it is preferable to select relays from these nodes and minimize the number of non-powerful nodes that act as relays. Replacement of non-powerful nodes might be necessary either at the initialization (after deployment), or during the network lifetime, which justifies the need to minimize their number. The problem is first modeled and reduced to the minimum weighted connected dominating set (WCDS) problem in a vertex weighted graph, and then it is resolved by taking advantage of the simple form of the weight function using integer linear programming (ILP). A heuristic is also proposed for large scale resolution. Simulation results confirms closeness of the proposed heuristic to the optimal solution obtained by the ILP, and scalability of the heuristic.
本文考虑了单位磁盘图G = (V, E)中连通支配集(CDS)问题的一个变体。所考虑的问题包括最小化隶属于某个子集V’的CDS顶点的个数。据我们所知,这个问题还没有在文献中讨论过。然而,它的分辨率在许多通信网络应用中是有用的,例如在异构无线自组织网络中中继节点的选择,其中只有一个强大的节点子集(例如,能量或内存丰富的节点)可以形成充当中继的网络骨干,或者最好从这些节点中选择中继并最小化充当中继的非强大节点的数量。可能需要在初始化时(在部署之后)或在网络生命周期中替换功能不强大的节点,这说明需要尽量减少它们的数量。首先对该问题进行建模,并将其简化为顶点加权图中的最小加权连通支配集问题,然后利用权函数的简单形式,利用整数线性规划(ILP)对其进行求解。提出了一种适用于大尺度分辨率的启发式算法。仿真结果证实了所提启发式算法与ILP得到的最优解的接近性和启发式算法的可扩展性。
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引用次数: 1
Bandwidth granularity adaptation for multipath provisioning in elastic optical OFDM-based networks 弹性光ofdm网络中多径分配的带宽粒度自适应
Pub Date : 2015-05-21 DOI: 10.1109/EIT.2015.7293345
Luae Altarawneh, S. Taebi
In this paper, we consider the impact of spectrum fragmentation along the optical single-/multi-path routing transmission on the efficiency of the elastic optical networks. Using O-OFDM multicarrier transmission as a promising technique makes it possible to choose just an adequate portion of available spectrum to satisfy the requested capacity. This involves focusing on the work to reduce the fragmentation effects by dynamically updating and controlling the minimum bandwidth allocation granularity. We investigate the concept of “minimum bandwidth allocation granularity adaptation” to replace using one fixed minimum bandwidth granularity allocation to serve the light path requests over multipath networks. We adopt a dynamic adaptation mechanism that is proportional to the optical link/path bandwidth fragmentation status. Simulation results show that the minimum bandwidth granularity dynamic adaptation based on the optical path fragmentation status offers improved performance over fixed minimum bandwidth allocation granularity with respect to the bandwidth blocking probability, the number of path splitting, and the throughput.
本文研究了光单路/多路路由传输过程中频谱碎片化对弹性光网络传输效率的影响。使用O-OFDM多载波传输作为一种很有前途的技术,可以选择足够的可用频谱来满足要求的容量。这涉及到通过动态更新和控制最小带宽分配粒度来减少碎片效应的工作。我们研究了“最小带宽分配粒度自适应”的概念,以取代使用固定的最小带宽粒度分配来服务多路径网络上的光路请求。我们采用了一种与光链路/路径带宽碎片状态成正比的动态自适应机制。仿真结果表明,与固定最小带宽分配粒度相比,基于光路分片状态的最小带宽粒度动态自适应在带宽阻塞概率、路径分裂次数和吞吐量方面都有提高。
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引用次数: 7
A new computational method for stator faults recognition in induction machines based on hyper-volumes 基于超体积的感应电机定子故障识别新方法
Pub Date : 2015-05-21 DOI: 10.1109/EIT.2015.7293343
Julien Maître, S. Gaboury, B. Bouchard, A. Bouzouane
To remain competitive, the manufacturing industry is always innovating and developing new cost-efficient ways to produce goods. That is why today, extensive automation is applied in nearly every type of manufacturing and assembly processes. Automation improves productivity, quality and robustness of products. It also increases the predictability of production lines mainly constituted of asynchronous machines. These machines, however, need regular maintenance. Time-based maintenance is labor-intensive, ineffective in identifying problems that develop between scheduled inspections, and is not cost-effective. For these reasons, researchers and companies are now investigating new methods to develop what is called preventive maintenance. It involves the use of sensors (vibrations, load cells, electrical, etc.) placed on the machine to monitor its actual state in order to detect engine failures. For some years, works presenting interesting methods and results [1-35] have been published, but few of these investigated effective preventive maintenance capable to clearly characterize the type and the importance of failures. In this paper, we propose a new computational approach for detection and characterization of stator faults of asynchronous machines based on electrical signal analysis. Our method is able to detect, locate, and quantify the severity of a failure. To do so, we use the frequency characteristics [6, 7] for simple detection, the currents [6] and the performance speed of the induction machine for localization and quantification of the failures. Moreover, we exploit hyper-volumes in the model of defective asynchronous machines. We present an experiment conducted on a model which shows promising results.
为了保持竞争力,制造业一直在创新和开发新的成本效益的方式来生产产品。这就是为什么今天,广泛的自动化应用于几乎所有类型的制造和装配过程。自动化提高了生产率、质量和产品的健壮性。它还增加了主要由异步机器组成的生产线的可预测性。然而,这些机器需要定期维护。基于时间的维护是劳动密集型的,无法识别在定期检查之间出现的问题,并且不具有成本效益。由于这些原因,研究人员和公司现在正在研究开发所谓预防性维护的新方法。它包括使用安装在机器上的传感器(振动、测压元件、电气等)来监测其实际状态,以检测发动机故障。几年来,已经发表了一些提出有趣方法和结果的作品[1-35],但这些研究中很少有有效的预防性维护能够清楚地表征故障的类型和重要性。本文提出了一种新的基于电信号分析的异步电机定子故障检测与表征方法。我们的方法能够检测、定位和量化故障的严重程度。为此,我们使用频率特性[6,7]进行简单检测,使用电流[6]和感应电机的性能速度进行故障的定位和量化。此外,我们在有缺陷的异步机器模型中利用了超容量。我们提出了在一个模型上进行的实验,显示了令人满意的结果。
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引用次数: 9
Effect of 6.5 MeV proton irradiation on the performance of 4H-SiC Schottky barrier photodiode 6.5 MeV质子辐照对4H-SiC肖特基势垒光电二极管性能的影响
Pub Date : 2015-05-21 DOI: 10.1109/EIT.2015.7293379
Farhood Rasouli, Z. Hemmat, S. Alizad
Irradiation introduces some electronic energy levels within the forbidden energy gap of semiconductors. In this paper, the effects of energy levels caused by proton irradiation with different fluences on the device performance of a 4H-SiC Schottky barrier ultraviolet photodiode is investigated. The modeling for resulting energy levels is carried out by a 2D device simulator. Results for electrical and optical properties of the irradiated photodiode compared to the unirradiated one is obtained by simulation. In this paper, it is demonstrated that series resistance changes from 28.8 mΩ for the unirradiated photodiode to 47.8 mΩ for the irradiated photodiode at highest fluence exposure. A significant reduction in quantum efficiency is observed for the photodiode at wavelengths longer than about 270 nm as the irradiation fluence increases.
辐照在半导体禁能隙内引入了一些电子能级。本文研究了质子辐照引起的能级对4H-SiC肖特基势垒紫外光电二极管器件性能的影响。对所得能级的建模是由一个二维器件模拟器进行的。通过仿真得到了辐照后的光电二极管与未辐照后的光电二极管的电学和光学特性的比较结果。在本文中,证明了串联电阻从28.8 mΩ未照射的光电二极管到47.8 mΩ照射的光电二极管在最高的通量暴露。随着辐照量的增加,在波长大于约270 nm处的光电二极管的量子效率显著降低。
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引用次数: 0
A temperature data-acquisition system for open-wheel series racecar drivers 一种开轮串联赛车车手温度数据采集系统
Pub Date : 2015-05-21 DOI: 10.1109/EIT.2015.7293325
S. Khorbotly, E. S. Potkanowicz, Timothy R. Chaffin, Courtney Hetrick
Thermal stress is known to be a major factor in deteriorating the human performance. The aim of this work is to prototype a data-acquisition system that can accurately record real-time temperature measurements for racecar drivers. The system has to be compact and portable to be accepted by the racecar drivers and league officials. The proposed solution is mixed-signal data acquisition system that integrates a temperature-to-voltage conversion sensor with an analog signal conditioning circuit and a digital data storage component. The system is battery powered and the data points stored in the memory can be easily retrieved and displayed in a spreadsheet application. The results show that created system can store more than 2000 data points with a temperature resolution of around 0.016 °C.
众所周知,热应力是导致人体机能恶化的一个主要因素。这项工作的目的是建立一个数据采集系统的原型,该系统可以准确地记录赛车手的实时温度测量。该系统必须小巧便携,才能被赛车手和联盟官员所接受。提出的解决方案是混合信号数据采集系统,该系统集成了温度-电压转换传感器、模拟信号调理电路和数字数据存储组件。该系统由电池供电,存储在内存中的数据点可以很容易地检索并显示在电子表格应用程序中。结果表明,该系统可存储2000多个数据点,温度分辨率约为0.016℃。
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引用次数: 0
期刊
2015 IEEE International Conference on Electro/Information Technology (EIT)
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