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IEEE EUROCON 2017 -17th International Conference on Smart Technologies最新文献

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Delay based optimisation of an integrated online call recording speaker diarisation and identification system 基于延迟的集成在线通话记录、说话人记录和识别系统优化
Pub Date : 2017-07-01 DOI: 10.1109/EUROCON.2017.8011125
Aleksandar Melov, B. Gerazov, Z. Ivanovski
The design of speaker diarisation and recognition systems is a mature research area and their deployment in the real world has gained momentum. There are still a number of parameters of these systems that have to be tuned and optimised for the application scenario at hand. An online call recording diarisation system is designed with integrated speaker identification of the call-centre operators. The parameters of the speaker diarisation and identification algorithms are cross-tuned using a testbench database. The system performance, as assessed by the true positive rate (TPR), is optimised in respect to the delay introduced by the system. As the system is designed to be used online, the TPR-delay trade-off is crucial to its deployment. The finalised system is flexible in that it allows the user to choose the delay or accuracy needed for on-site deployment.
说话人记录和识别系统的设计是一个成熟的研究领域,其在现实世界中的应用已经得到了发展。这些系统仍有许多参数需要针对当前的应用场景进行调优和优化。设计了一个在线通话记录记录系统,该系统集成了呼叫中心话务员的扬声器识别。使用试验台数据库对说话人记录和识别算法的参数进行交叉调优。由真阳性率(TPR)评估的系统性能,相对于系统引入的延迟进行了优化。由于系统被设计为在线使用,因此tpr -延迟权衡对其部署至关重要。最终的系统是灵活的,因为它允许用户选择现场部署所需的延迟或准确性。
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引用次数: 0
Proposal for extension of the standard paradigm of discrete digital measurement 扩展离散数字测量标准范例的建议
Pub Date : 2017-07-01 DOI: 10.1109/EUROCON.2017.8011231
Nemanja Gazivoda, P. Sovilj, V. Vujicic, Z. Mitrović
The paper gives an elaborated proposal that the extended paradigm of discrete digital measurement, in addition to the standard sampling method (SSM), should also include stochastic digital measurement method (SDMM).
本文提出了离散数字测量的扩展范式,除了标准采样方法(SSM)外,还应包括随机数字测量方法(SDMM)。
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引用次数: 0
Cloud-based recognition of complex activities for ambient assisted living in smart homes with non-invasive sensors 使用非侵入式传感器的智能家居环境辅助生活中基于云的复杂活动识别
Pub Date : 2017-07-01 DOI: 10.1109/EUROCON.2017.8011214
Aleksandra Zdravevska, Ace Dimitrievski, Petre Lameski, Eftim Zdravevski, V. Trajkovik
Automatic recognition of complex activities can aid in finding correlations between the daily habits of people and their health state, and can further lead to early detection of diseases or accidents. In this paper we propose a cloud-based system for recognition of complex activities by detecting series of atomic actions with non-invasive sensors. Collected data from non-invasive, non-intrusive and privacy preserving sensors is streamed into a cloud-based system, where automated feature extraction and activity recognition is performed. The prototype of the proposed system is evaluated with an experiment. Five activities performed by a person in a room were monitored by a sensor kit and streamed to the cloud, where the built classification models could recognize the activities with accuracy of 80% to 95%, depending on the length of segmentation windows which varied from 5 to 20 seconds, respectively.
对复杂活动的自动识别有助于发现人们的日常习惯与健康状况之间的相关性,并进一步导致疾病或事故的早期发现。本文提出了一种基于云的系统,通过非侵入式传感器检测一系列原子动作来识别复杂活动。从非侵入式、非侵入式和保护隐私的传感器收集的数据被传输到基于云的系统中,在该系统中执行自动特征提取和活动识别。通过实验对系统原型进行了验证。每个人在一个房间里进行的五项活动由一个传感器套件监测并传输到云端,在那里建立的分类模型可以识别准确率为80%到95%,具体取决于分割窗口的长度,分别从5到20秒不等。
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引用次数: 5
Link-budget calculations for CMOS integrated microwave receivers CMOS集成微波接收机的链路预算计算
Pub Date : 2017-07-01 DOI: 10.1109/EUROCON.2017.8011101
S. Vehring, Yaoshun Ding, D. Maurath, F. Gerfers, Georg Böck
In this paper, advanced link-budget calculations for microwave receivers are introduced. Microwave receivers typically consist of narrowband circuits in the high frequency part and broadband circuits in the baseband part. In general narrowband circuits and broadband circuits are characterized in different ways. Narrowband circuits are described by impedance matching, power gain and noise figure while broadband circuits by voltage gain and input referred noise. This makes the link-budget calculation not straight-forward and often leads to errors. The paper presents a way to calculate link-budgets from the received power at an antenna output until an analog-to-digital converter's output. This incorporates narrowband and broadband circuits. At first a formel-set from theory is derived and furthermore applied to two practical case studies. The first case study is a 24 GHz CMOS receiver intended for industry radar while the second case study is a full W-Band CMOS receiver intended for 100Gb/s communication.
本文介绍了一种先进的微波接收机链路预算计算方法。微波接收机通常由高频部分的窄带电路和基带部分的宽带电路组成。一般来说,窄带电路和宽带电路具有不同的特征。窄带电路用阻抗匹配、功率增益和噪声系数来描述,宽带电路用电压增益和输入参考噪声来描述。这使得链路预算的计算不是直截了当的,并且经常导致错误。本文提出了一种从天线输出到模数转换器输出的接收功率计算链路预算的方法。它包含窄带和宽带电路。首先从理论推导出一个形式集,并将其应用到两个实际案例中。第一个案例研究是用于工业雷达的24 GHz CMOS接收器,而第二个案例研究是用于100Gb/s通信的全w波段CMOS接收器。
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引用次数: 0
Energy efficiency of Fog Computing and Networking services in 5G networks 5G网络中雾计算和网络服务的能源效率
Pub Date : 2017-07-01 DOI: 10.1109/EUROCON.2017.8011159
Stojan Kitanov, T. Janevski
Today many users with their smart mobile devices enjoy the benefits of broadband Internet services. This is primarily enabled by pushing computing, control, data storage and processing into the cloud. However, the cloud encounters growing limitations, such as reduced latency, high mobility, high scalability and real-time execution in order to meet the computing and intelligent networking demands for the next 5G mobile and wireless network. A new paradigm called Fog Computing and Networking, or briefly Fog has emerged to resolve these limits. Fog distributes computing, data processing, and networking services closer to the end users. It is an architecture where distributed edge and user devices collaborate with each other and with the clouds to carry out computing, control, networking, and data management tasks. Fog applied in 5G network can significantly improve network performance in terms of spectral and energy efficiency, enable direct device-to-device wireless communications, and support the growing trend of network function virtualization and separation of network control intelligence from radio network hardware. This paper evaluates the quality of cloud and fog computing and networking orchestrated services in 5G mobile and wireless network in terms of energy efficiency.
今天,许多用户使用他们的智能移动设备享受宽带互联网服务的好处。这主要是通过将计算、控制、数据存储和处理推向云端来实现的。然而,为了满足下一代5G移动和无线网络的计算和智能组网需求,云面临着越来越多的限制,如低延迟、高移动性、高可扩展性和实时执行。一种名为“雾计算和网络”的新范式已经出现,以解决这些限制。Fog将计算、数据处理和网络服务分布到离最终用户更近的地方。它是一种架构,分布式边缘设备和用户设备相互协作,并与云协作,以执行计算、控制、网络和数据管理任务。雾应用于5G网络,可以显著提高网络频谱和能效性能,实现设备对设备的直接无线通信,支持网络功能虚拟化和网络控制智能与无线网络硬件分离的发展趋势。本文从能效的角度评估了5G移动和无线网络中云雾计算和网络编排服务的质量。
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引用次数: 20
The impact of RF parameters on perceived QoS in cellular mobile networks 蜂窝移动网络中射频参数对感知QoS的影响
Pub Date : 2017-07-01 DOI: 10.1109/EUROCON.2017.8011088
Zoran Asenov, V. Atanasovski
This paper targets empirical voice and video quality assessment in mobile networks and presents fundamental QoS testing methods in correlation to RF indicators. The paper focuses on the most critical performance parameters for real-time services (e.g. voice) such as call drop vs. poor coverage in UMTS. The empirical study was based on a clearly defined drive test scenario with predetermined routes and communication profiles such as mobile to data server and call server setup.
本文针对移动网络中语音和视频质量的实证评估,提出了与射频指标相关的基本QoS测试方法。本文关注实时服务(例如语音)的最关键性能参数,例如UMTS中的呼叫掉线与低覆盖。实证研究基于明确定义的驾驶测试场景,具有预定的路线和通信配置文件,例如移动到数据服务器和呼叫服务器的设置。
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引用次数: 0
The overview of automatically supported gait analysis methods for medical diagnoses and rehabilitation 用于医学诊断和康复的自动支持步态分析方法综述
Pub Date : 2017-07-01 DOI: 10.1109/EUROCON.2017.8011172
A. Michalczuk, Kamil Wereszczynski, A. Świtoński, Henryk Josiński, K. Wojciechowski
In this paper we present a review of gait analysis methods used for medical applications. First of all, we introduce a system of real-time gait acquisition. Next, three ways of gait data representation: trajectories, Euler angles and medical angles are described along with the most promising methods of gait analysis based on those representations like gait indices, Dynamic Time Warping, manifold methods and a ranking of most significant joints for different disease units. We present also some results of the aforementioned methods, summarize our research and discuss future plans.
在本文中,我们介绍了步态分析方法用于医疗应用的综述。首先,我们介绍了一个实时步态采集系统。其次,介绍了三种步态数据表示方法:轨迹、欧拉角和医学角,以及基于步态指数、动态时间翘曲、流形方法和不同疾病单元最重要关节排序等表示方法的步态分析方法。本文还介绍了上述方法的一些结果,总结了我们的研究并讨论了未来的计划。
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引用次数: 2
G-TCP, next generation transport protocol 下一代传输协议G-TCP
Pub Date : 2017-07-01 DOI: 10.1109/EUROCON.2017.8011092
I. Petrov, T. Janevski
G-TCP represents novel transport protocol designed to be used by Next Generation Networks. It engages famous Fibonacci sequence to calculate congestion window size when the protocol operates in congestion avoidance phase. Modification of window decrease parameter is introduced in order to improve protocol behaviour in high and low speed networks.
G-TCP是为下一代网络设计的新型传输协议。当协议运行在拥塞避免阶段时,采用著名的斐波那契数列计算拥塞窗口大小。为了改善高速网络和低速网络中的协议性能,引入了窗减参数的修改。
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引用次数: 0
A generic model order reduction technique based on Particle Swarm Optimization (PSO) algorithm 基于粒子群优化(PSO)算法的通用模型降阶技术
Pub Date : 2017-07-01 DOI: 10.1109/EUROCON.2017.8011103
K. Salah
In this Paper, a Particle Swarm Optimization based solution is proposed to solve the problem of model order reduction for high order transfer functions. The main advantages of our approach are that it is generic, with relatively small time and reasonable accuracy. Moreover, it preserves both time and frequency responses of the original transfer function.
针对高阶传递函数的模型降阶问题,提出了基于粒子群算法的模型降阶方法。我们的方法的主要优点是它是通用的,相对较少的时间和合理的准确性。此外,它保留了原始传递函数的时间和频率响应。
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引用次数: 4
A post-processing methodology for robust spectral embedded clustering of power networks 电网鲁棒谱嵌入聚类的后处理方法
Pub Date : 2017-07-01 DOI: 10.1109/EUROCON.2017.8011221
I. Tyuryukanov, J. Quirós-Tortós, M. Naglic, M. Popov, M. Meijden, V. Terzija
Partitioning of electric networks into zones or areas is a procedure that has numerous applications in power system planning, operation and control. Spectral clustering based approaches are among the most favoured ones to solve the partitioning problem. Applications of spectral clustering include definition of control zones, analysis of connectivity structure of power networks, intentional controlled islanding, design of sectionalising strategies, and visualisation. Although spectral clustering is a state-of-the-art family of methods with numerous extensions, some practical issues can arise when applying it to large-scale power networks. While spectral clustering becomes significantly more robust to outliers when combined with a robust post-processing method like k-medoids, the connectedness of the resulting partitioning cannot be guaranteed. This paper proposes a greedy algorithm to solve the connectedness issues inherent to many robust post-processing methods. Furthermore, it is proposed to utilise a label propagation based heuristic to improve the quality of the final partitions. The test results evaluate the steps of the methodology on a large-scale 1354-bus PEGASE test network.
电网分区在电力系统规划、运行和控制中有着广泛的应用。基于谱聚类的方法是解决分割问题最受欢迎的方法之一。频谱聚类的应用包括控制区的定义、电网连接结构的分析、有意控制的孤岛、分区策略的设计和可视化。虽然频谱聚类是一种具有许多扩展的最先进的方法,但在将其应用于大规模电网时可能会出现一些实际问题。当与k- mediids等鲁棒后处理方法相结合时,光谱聚类对异常值的鲁棒性明显增强,但不能保证结果分区的连通性。本文提出了一种贪婪算法来解决许多鲁棒后处理方法所固有的连通性问题。此外,提出了利用基于标签传播的启发式方法来提高最终分区的质量。测试结果在大型1354总线PEGASE测试网络上评估了该方法的步骤。
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引用次数: 6
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IEEE EUROCON 2017 -17th International Conference on Smart Technologies
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