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2016 IEEE Region 10 Conference (TENCON)最新文献

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Lost label prediction algorithm for three description lattice vector quantization system 三描述点阵矢量量化系统的失标预测算法
Pub Date : 2016-11-01 DOI: 10.1109/TENCON.2016.7848186
Hui Ting Teo, M. Salleh
Multimedia communication system design encounters great challenges in network congestion and delay sensibility issues. Multiple description coding system has recently emerged as a desirable framework for robust multimedia data transmission over the unreliable channels. This paper presents a prediction method of a lost label during transmission called lost label prediction algorithm in order to improve performance of side decoders when there always two of the three channels successfully transmitting the data. The lost label is predicted by putting on the nearest sublattice point between the two available labels. Simulation results show that the improved three descriptions lattice vector quantization system provides lower distortion and better reconstruction quality.
多媒体通信系统的设计面临着网络拥塞和时延敏感问题的巨大挑战。多描述编码系统作为一种理想的框架在不可靠信道上实现鲁棒多媒体数据传输。为了提高侧解码器在三个信道中总有两个信道成功传输数据的性能,提出了一种传输过程中丢失标签的预测方法——丢失标签预测算法。通过在两个可用标签之间放置最近的子格点来预测丢失的标签。仿真结果表明,改进的三描述点阵矢量量化系统具有较低的失真和较好的重构质量。
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引用次数: 0
ThinICA-CSP algorithm for discrimination of multiclass motor imagery movements 多类运动意象运动的ThinICA-CSP识别算法
Pub Date : 2016-11-01 DOI: 10.1109/TENCON.2016.7848480
Deepa Beeta Thiyam, S. Cruces, R. E.R.
This paper presents a ThinICA-CSP1 algorithm for discrimination of multiclass motor imagery (MI) movements for Brain Computer Interfacing (BCI) applications. This algorithm performs a joint approximate diagonalization of the second and higher order statistics of the observations with the aim of identifying the relevant independent components of the EEG signals and their corresponding spatial filters. In order to speed up the convergence, the algorithm is initialized from the multiclass Common Spatial Pattern (CSP) filter matrix. This helps the ICA algorithm to find the closest solution to the problem. The algorithm was tested on BCI competition IV dataset 2a and the obtained performance was compared with two existing methods. An improvement in classification performance is observed using the ThinICA-CSP algorithm.
本文提出了一种用于脑机接口(BCI)应用的多类运动图像(MI)识别的ThinICA-CSP1算法。该算法对观测值的二阶统计量和高阶统计量进行联合近似对角化,目的是识别脑电信号的相关独立分量及其相应的空间滤波器。为了加快收敛速度,该算法从多类公共空间模式(CSP)滤波矩阵初始化。这有助于ICA算法找到最接近问题的解。在BCI competition IV数据集2a上对该算法进行了测试,并与已有的两种方法进行了性能比较。使用ThinICA-CSP算法可以提高分类性能。
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引用次数: 2
Improvement of stability against vibration at the mechanical resonance in attractive type HTS-permanent hybrid magnet bearing 提高吸引型hts -永磁混合磁体轴承机械共振抗振稳定性
Pub Date : 2016-11-01 DOI: 10.1109/TENCON.2016.7848661
T. Minami, S. Sakai, S. Ohashi
The hybrid magnetic bearing using permanent magnets and the high temperature bulk super conductor (HTS) is developed. Pinning force of the HTS is used to generate levitation and guidance force. The dynamic characteristics of the rotor in the hybrid system are studied. The rotor which is supported by the hybrid magnetic bearing rotates up to 5,000 rpm. Then, the vibration of the rotor is measured until the end of the resonance state. Three-dimensional FEM analysis of flux of the systems is undertaken. The relationship between the static characteristics and the dynamic ones of the rotor is considered, and experimental results of the hybrid system is compared with that of the non-hybrid one. In the hybrid system, the flux of the permanent magnet of the rotor is attracted by the stator one. Therefore, vibration of the hybrid system is shown to be smaller than that of the non-hybrid one.
研制了采用永磁体和高温块状超导体(HTS)的复合式磁轴承。利用HTS的钉紧力产生悬浮力和导引力。研究了混合动力系统中转子的动态特性。由混合磁轴承支撑的转子旋转速度可达5,000 rpm。然后,测量转子的振动,直到谐振状态结束。对系统的流量进行了三维有限元分析。考虑了转子静态特性与动态特性之间的关系,并将混合系统的实验结果与非混合系统的实验结果进行了比较。在混合系统中,转子永磁体的磁通被定子永磁体所吸引。因此,混合动力系统的振动比非混合动力系统的振动小。
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引用次数: 3
Performance analysis of static versus rotary DC/AC power converters for hybrid renewable energy based microgrid applications 基于混合可再生能源的微电网应用中静态与旋转DC/AC电源变换器的性能分析
Pub Date : 2016-11-01 DOI: 10.1109/TENCON.2016.7848256
Y. V. Pavan Kumar, R. Bhimasingu
Hybrid renewable energy is an emerging notable choice in microgrids' formation to overcome the problem of intermittency that is usually raised while using a single renewable energy source. Generally, the hybrid renewable energy source produce DC power, which is to be converted to AC power to supply to loads and integrating with utility grid. Hence, the efficacy of a microgrid relies on its DC/AC power conversion. For DC/AC conversion, the contemporary research work focuses on the design of power electronics based static multilevel inverter configurations and the traditional electrical machines based retrofitted configurations. However, all these static and rotary inverter configurations possess their inherent limitations, which affect the fruitful operation of the microgrid. Keeping this conviction in mind, this paper analyzes the effect of static and rotary inverters on the microgrid operation. For the analysis, total system's modeling and simulations are performed using MATLAB/Simulink® tool. Various performance indices are obtained for the considered static/rotary inverters and presented a comprehensive analysis as a result.
混合可再生能源是微电网建设中一个值得注意的新选择,它克服了通常在使用单一可再生能源时产生的间歇性问题。混合可再生能源通常产生直流电,将其转换为交流电源供电给负荷,并与公用电网相结合。因此,微电网的效能取决于其直流/交流功率转换。对于直流/交流转换,目前的研究工作主要集中在基于电力电子的静态多电平逆变器配置和基于传统电机的改造配置的设计上。然而,所有这些静态和旋转逆变器配置都有其固有的局限性,影响了微网的有效运行。基于这一信念,本文分析了静态逆变器和旋转逆变器对微网运行的影响。为了进行分析,利用MATLAB/Simulink®工具对整个系统进行了建模和仿真。得到了所考虑的静态/旋转逆变器的各种性能指标,并对其进行了综合分析。
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引用次数: 4
New optimization method considering combinatorial and multi-objective optimization problem for distribution systems 考虑配电系统组合多目标优化问题的新优化方法
Pub Date : 2016-11-01 DOI: 10.1109/TENCON.2016.7848520
Ryuto Shigenobu, Masahiro Furukakoi, A. Yona, T. Senjyu
This paper proposes a new optimization method for distribution system, that method includes combinational problem (CP) as factor in multi-objective optimization problem (MOOP). Increasing load demands and deep penetration of distributed generators (DGs) using renewable energy sources (RESs) has been a cause of concern to protect the smart grid. System. As a t, it causes voltage deviation and reverses power flow. In order to solve these problem, protection devices have to be installed in distribution system. However, it is necessary to consider multi objects to realize safety system, generally these objects are also conflicting with each other. Moreover, it is also important problem to calculate operating cost and finding optimal placement of control devices. This proposed method provides an application for distribution system.
本文提出了一种新的配电系统优化方法,该方法将组合问题作为多目标优化问题的考虑因素。负载需求的增加和使用可再生能源的分布式发电机的深入渗透已经成为保护智能电网的原因。系统。作为一个t,它引起电压偏差,使潮流反向。为了解决这些问题,必须在配电系统中安装保护装置。然而,安全系统的实现需要考虑多目标,通常这些目标之间也是相互冲突的。此外,运行成本的计算和控制装置的优化布置也是一个重要的问题。该方法在配电系统中具有一定的应用价值。
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引用次数: 0
Event log-based fraud rating using interval type-2 fuzzy sets in fuzzy AHP 模糊层次分析法中基于事件日志的区间2型模糊集欺诈评级
Pub Date : 2016-11-01 DOI: 10.1109/TENCON.2016.7848366
Evi Septiana Pane, A. Wibawa, M. Purnomo
Fraud on the event logs derived from business process is known as event log-based fraud. Fraud detection using event logs employs process mining technique, notably conformance checking analysis. This study proposes a method for rating event log-based fraud datasets using fuzzy analytic hierarchy process (AHP), a well-known multicriteria decision-making method. Earlier studies proposed that interval type-2 fuzzy set provides an alternative in handling uncertainty than type-1 fuzzy set. Therefore, we utilize interval type-2 fuzzy sets in fuzzy AHP in order to manage vagueness in many linguistic judgement. This study includes linguistic hedges implementation to modify the membership function of expert valuation. The experimental results showed comparable types of membership function shape and its obtained accuracy performance. Obtained accuracy from fuzzy type-1 AHP method achieved 94% for triangular membership function shape and 93.9% for interval type-2 fuzzy AHP. Although there was no escalation in accuracy after applying interval-valued fuzzy sets for all scenarios, the rank of fraud weight in each feature were altered.
对源自业务流程的事件日志的欺诈称为基于事件日志的欺诈。使用事件日志的欺诈检测采用流程挖掘技术,特别是一致性检查分析。本文提出了一种基于事件日志的欺诈数据集评级方法,该方法采用了一种著名的多准则决策方法——模糊层次分析法(AHP)。较早的研究提出区间2型模糊集比1型模糊集在处理不确定性方面提供了另一种选择。因此,我们在模糊层次分析法中利用区间2型模糊集来管理许多语言判断中的模糊性。本研究包括运用语言模糊限制来修正专家评价的隶属函数。实验结果表明,所得到的隶属函数形状和精度性能均具有可比性。模糊1型AHP方法对三角隶属函数形状的准确率达到94%,对区间2型模糊AHP的准确率达到93.9%。虽然在对所有场景应用区间值模糊集后,准确率没有上升,但每个特征中的欺诈权重等级被改变了。
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引用次数: 9
Advanced receiver design for gigabit satellite downlink transmission over the X-band 用于x波段千兆卫星下行传输的先进接收器设计
Pub Date : 2016-11-01 DOI: 10.1109/TENCON.2016.7848748
Lin Zhiwei, Yen Kai, P. K. Boon, Z. Weiqiang, Law Sie Yong, P. Xiaoming
In this paper, an advanced receiver design based on DVB-S2 standard is proposed for satellite downlink transmission over the X-band, which is capable of supporting over one Gbps high data rate transmission on a 375 MHz bandwidth without the need to tackle the rain fade effect. We illustrate its baseband design and implementation details including frame detection, timing and frequency synchronization, and phase recovery. Our fixed point based simulation results show that the proposed design is able to achieve promising performance under realistic frequency offset and phase noise setting.
本文提出了一种基于DVB-S2标准的x波段卫星下行传输先进接收机设计,能够在375 MHz带宽下支持1 Gbps以上的高数据速率传输,且无需解决雨衰效应。我们说明了它的基带设计和实现细节,包括帧检测、定时和频率同步以及相位恢复。基于不动点的仿真结果表明,在实际的频偏和相位噪声设置下,所提出的设计能够取得良好的性能。
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引用次数: 2
Energy efficient grid clustering based data aggregation in Wireless Sensor Networks 基于高能效网格聚类的无线传感器网络数据聚合
Pub Date : 2016-11-01 DOI: 10.1109/TENCON.2016.7848047
N. Rajathi, L. Jayashree
A Wireless Sensor Network consists of a cluster of sensor nodes connected by a wireless medium to carry out distributed sensing tasks. The resources in these nodes are restricted in terms of processing, storage, and energy supplies. As the sensor nodes rely on low power batteries for their life, energy efficiency is utmost importance for the majority of its applications. Agriculture is one of the biggest industries where the cost-effective wireless sensor technology is effectively applied to support its functions. Clustering is one of the ways to achieve energy efficiency in such networks. In clustered network, few nodes play the role of cluster heads, summative the data from their members, and pass on them to the sink for further processing. In this work, a distance based grid clustering approach (DC) is proposed that considers energy efficiency as a system-wide problem to focuses on enhancing the overall stability of operation of a network. In addition, two other approaches for cluster head selection based on the node with largest id (LC) and the node with the smallest id (SC) within the cluster is also implemented. The proposed approach gives better performance than the other two other approaches implemented.
无线传感器网络由一组通过无线介质连接的传感器节点组成,以执行分布式传感任务。这些节点中的资源在处理、存储和能源供应方面受到限制。由于传感器节点的寿命依赖于低功率电池,因此能源效率对其大多数应用至关重要。农业是最具成本效益的无线传感器技术被有效应用于支持其功能的行业之一。在这种网络中,聚类是实现能源效率的方法之一。在集群网络中,很少有节点扮演簇头的角色,汇总来自其成员的数据,并将其传递给接收器进行进一步处理。在这项工作中,提出了一种基于距离的网格聚类方法(DC),该方法将能源效率视为一个系统范围的问题,重点是提高网络运行的整体稳定性。此外,还实现了基于簇内最大id节点(LC)和最小id节点(SC)的簇头选择的另外两种方法。该方法比其他两种实现的方法具有更好的性能。
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引用次数: 6
A digital signal processing algorithm on read out circuit for electrical capacitance tomography 电容层析成像读出电路的数字信号处理算法
Pub Date : 2016-11-01 DOI: 10.1109/TENCON.2016.7848194
A. Yusuf, D. Sudiana, A. Tamsir, Harry Sudibyo S
The research relates to tomography technique based on electrical mass properties measurement. This study proposed electronic design of read out circuit (ROC) for signal processing in electrical capacitance tomography. The method is to capture the excitation and detection signal simultaneously using high speed analog-to-digital-converter (ADC) then save its reading to first-in-first-out (FIFO) memory. From the two signals, magnitude and phase can be determined. Therefore, calculation of capacitance and conductivity of object inside sensor is done using math equation.
研究了基于电质特性测量的层析成像技术。本研究提出了电容层析成像中信号处理的读出电路的电子设计。该方法是利用高速模数转换器(ADC)同时捕获激励和检测信号,然后将其读取保存到先进先出(FIFO)存储器中。从这两个信号,可以确定幅度和相位。因此,利用数学方程来计算传感器内部物体的电容和电导率。
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引用次数: 6
Fuel cost minimization with reserve capacity and inter-area flow limit for reliable and cost effective operation of multi microgrids 基于储备容量和区域间流量限制的燃料成本最小化以实现多微电网的可靠和经济运行
Pub Date : 2016-11-01 DOI: 10.1109/TENCON.2016.7848638
Chandrasekhar Yammani, Vamsi Krishna Macha
Power system is undergoing profound changes such as Distributed Generation, microgrid and then Smart Grid. One of the biggest challenges in it is integration renewable energy sources with conventional DGs for reliable operation of microgrid. An optimization algorithm for reducing total cost considering inter-area power flow limit and reserve capacities is developed and implemented. Power reference points were obtained for each DG with mixed power flow control for cost effective and reliable operation of microgrid. Numerical experiment was performed in MATLAB 2012 using Direct Search Technique.
电力系统正经历着分布式发电、微电网、智能电网等深刻变革。其中最大的挑战之一是将可再生能源与传统dg相结合,以实现微电网的可靠运行。提出并实现了一种考虑区域间潮流限制和备用容量的降低总成本的优化算法。为保证微网经济、可靠运行,对各DG进行混合潮流控制,得到各DG的功率参考点。采用直接搜索技术在MATLAB 2012中进行了数值实验。
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引用次数: 4
期刊
2016 IEEE Region 10 Conference (TENCON)
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