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TENCON 2018 - 2018 IEEE Region 10 Conference最新文献

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Time-frequency Performance Study on Urban Sound Classification with Convolutional Neural Network 基于卷积神经网络的城市声音分类时频性能研究
Pub Date : 2018-10-01 DOI: 10.1109/TENCON.2018.8650428
H. Shu, Ying Song, Huan Zhou
Convolutional neural network (ConvNet) is a class of deep feed-forward neural network which exploits the strong spatially local correlation in natural images. It achieves successful performance in visual analyzing area. Recently, ConvNet has been employed in acoustic processing area and been proved to be able to learn the spectro-temporal pattern of sound and differential them for the classification purpose. In this manuscript, the time-frequency resolution of the input sound is studied for their efficiency in the classification accuracy when ConvNet is adopted. Simulation results shows that the data augment solution, which is called multi-width frequency-delta, presents little contribution for the performance improvement when the network is carefully designed. In addition, a suitable temporal resolution in acoustic sound segmentation can achieve good classification effect.
卷积神经网络(ConvNet)是一类利用自然图像的强空间局部相关性的深度前馈神经网络。在可视化分析领域取得了成功的表现。近年来,卷积神经网络已被应用于声学处理领域,并被证明能够学习声音的光谱-时间模式,并对其进行分类。本文研究了输入声音的时频分辨率在采用卷积神经网络时对分类精度的影响。仿真结果表明,在精心设计网络时,被称为多宽度频率增量的数据增强方案对网络性能的提高贡献不大。此外,在声学分割中,适当的时间分辨率可以获得良好的分类效果。
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引用次数: 5
Design of a Fuzzy-Genetic Controller for an Articulated Robot Gripper 铰接式机器人夹持器的模糊遗传控制器设计
Pub Date : 2018-10-01 DOI: 10.1109/TENCON.2018.8650431
Jason L. Española, A. Bandala, R. R. Vicerra, E. Dadios
In this study, a fuzzy logic controller (FLC) was designed to manipulate an articulated robot gripper. An idea from a previous study was utilized to enhance the performance of the FLC using genetic algorithms by optimizing newly-introduced coefficients in the membership functions of the FLC. The proposed controller was applied on a robot gripper model in Simulink. All in all, the genetic algorithm was able to come up with optimized parameters after an average of at least eight (8) generations and the proposed controller was able to follow the reference trajectory more accurately than the simple fuzzy controller. Further research will be necessary for physical implementation and possible improvement of the utilized genetic algorithm.
在本研究中,设计了一个模糊逻辑控制器(FLC)来操纵关节机器人的夹持器。利用前人研究的思想,利用遗传算法优化FLC的隶属函数中新引入的系数,提高FLC的性能。在Simulink中,将所提出的控制器应用于机器人夹持器模型。总而言之,遗传算法能够在平均至少八(8)代后得到优化参数,并且所提出的控制器能够比简单的模糊控制器更准确地遵循参考轨迹。对于所使用的遗传算法的物理实现和可能的改进,需要进一步的研究。
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引用次数: 5
A Differential Output Switched Capacitor based Capacitive Sensor Interfacing Circuit 基于差分输出开关电容的电容式传感器接口电路
Pub Date : 2018-10-01 DOI: 10.1109/TENCON.2018.8650389
R. Tirupathi, S. Kar
This paper presents a switched capacitor based capacitive sensor interfacing circuit, which can sense the change in capacitance from differential capacitive sensor and produces differential voltage output. The proposed circuit has the ability to reduce the errors like offset and low frequency noise introduced by the circuit components. The main advantage of this interfacing circuit is, it utilizes a single differential capacitive sensor and a single feedback network to provide differential output. The gain of the interfacing circuit is programmable through the feedback capacitor of the charge amplifier configuration. The interfacing circuit comprises of a fully differential operational amplifier, offset reduction scheme, buffer and low pass filter. The proposed circuit is designed and simulated using UMC 0.18-μm CMOS process technology. Both schematic and post-layout simulation results are presented.
本文提出了一种基于开关电容的电容式传感器接口电路,该电路可以感知差动电容传感器的电容变化,并产生差动电压输出。所提出的电路具有降低电路元件引入的偏置和低频噪声等误差的能力。该接口电路的主要优点是,它利用单个差分电容传感器和单个反馈网络来提供差分输出。接口电路的增益可通过电荷放大器配置的反馈电容进行编程。接口电路由全差分运算放大器、偏置减小方案、缓冲器和低通滤波器组成。采用UMC 0.18 μm CMOS工艺技术设计并仿真了该电路。给出了原理图和布局后的仿真结果。
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引用次数: 4
Assistive Communicative Vibrating Aid for Differently Abled 为残疾人士设计的辅助交流振动辅助装置
Pub Date : 2018-10-01 DOI: 10.1109/TENCON.2018.8650445
Bharath A. Kartha, B. Goutham, Parvathi S. Nair, Vishnu S. Nair
The hearing impaired community faces many challenges during their daily life and communication is the most talked about problem out of them. A conclusion based on some research suggests that rather than one on one communication with their fellow hearing impaired friends, what they find more difficult is to capture their peers attention when they are in a group, at class or at work. Differently abled students in class struggle to capture the attention of their fellow friends and teachers struggle to capture the attention of the students. The current solution for which is flickering the classroom lights which is very rudimentary and ineffective in places other than the classroom. Hard of hearing working professionals go through the same struggle every day to capture their nearby colleagues attention.The conceptualised solution is a wearable device called ACVA( Assistive Communicative Vibrating Aid). It is a wearable wristband which contains an OLED display and a vibrating module. The aim is to transform natural communicative gestures into a form that can be sensed by the differently abled, helping them with effective communication and mainstreaming their communicative conducts. By converting clap gesture into a broadcast signal using Wifi technology, the device can bridge the gap between Augmentative and Alternative Communication (AAC) and general human behavioural communication.ACVA proposes to achieve an interface that allows the differently abled to culminate natural communicative gestures to provide ease in attention capturing during interpersonal or group level communications.
听力障碍群体在日常生活中面临着诸多挑战,其中沟通问题是他们最为关注的问题。根据一些研究得出的结论表明,听力受损的人发现,当他们在一个群体中、在课堂上或在工作中,更难以吸引同龄人的注意力,而不是与其他听力受损的朋友进行一对一的交流。在课堂上,不同能力的学生很难吸引其他同学的注意,老师也很难吸引学生的注意。目前的解决方案是在教室里闪烁灯光,这在教室以外的地方是非常简陋和无效的。重听专业人士每天都要经历同样的挣扎,以吸引附近同事的注意。概念化的解决方案是一种名为ACVA(辅助交流振动辅助)的可穿戴设备。这是一款可穿戴腕带,包含一个OLED显示屏和一个振动模块。其目的是将自然的交流手势转化为一种可以被不同能力的人感知的形式,帮助他们进行有效的交流,并将他们的交流行为主流化。通过使用Wifi技术将拍手手势转换为广播信号,该设备可以弥合增强和替代交流(AAC)与一般人类行为交流之间的差距。ACVA建议实现一个界面,允许不同能力的人达到自然交流手势的高潮,以便在人际或群体层面的交流中轻松捕获注意力。
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引用次数: 0
RISC-Based Simulation of Longest Common Subsequence Algorithm in MIPS64 Simulators 基于risc的MIPS64模拟器中最长公共子序列算法的仿真
Pub Date : 2018-10-01 DOI: 10.1109/TENCON.2018.8650369
Glenn Paul P. Gara, M. P. B. Pacot, R. Uy
The longest common subsequence (LCS) is an essential technique in the sequence alignment. By deleting zero or more symbols, it determines one of the longest subsequences in a sequence. This paper described a simulation of the algorithm using the EduMIPS64 and MIPSers simulators where the latter implements the most recent developments of MIPS64 instruction sets. The method applied to solve the LCS in this study was the first known solution invented by Wagner and Fischer. The authors programmed the LCS on a RISC architecture and evaluated the results of the test cases by observing the number of clock cycles performed through the simulators. Results show that the MIPSers executed the least number of clock cycles compared to the EduMIPS64 simulator.
最长公共子序列(LCS)是序列比对中的一项重要技术。通过删除零个或多个符号,它确定序列中最长的子序列之一。本文描述了使用EduMIPS64和MIPSers模拟器的算法仿真,后者实现了MIPS64指令集的最新发展。本研究中用于求解LCS的方法是Wagner和Fischer发明的已知的第一个解。作者在RISC架构上编写了LCS,并通过观察通过模拟器执行的时钟周期数量来评估测试用例的结果。结果表明,与EduMIPS64模拟器相比,MIPSers执行的时钟周期数最少。
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引用次数: 0
Mobile Edge Computing: A Promising Paradigm for Future Communication Systems 移动边缘计算:未来通信系统的前景范例
Pub Date : 2018-10-01 DOI: 10.1109/TENCON.2018.8650169
S. Shah, Hong Ping Zhao, Hoon Kim
Mobile edge computing (MEC) is the future of wireless communications and an alternative to cloud computing. It is a decentralized computing infrastructure, in which some signal processing, storage, control and computing applications are distributed in a most efficient and logical way between data source and cloud. Mobile edge computing extends cloud computing concept by bringing the advantages of the cloud closer to the users in the form of network edge, this results in less end to end delay. In this paper, we emphasize the importance of mobile computing by providing real-life scenarios and classifying the current research efforts in the domain of edge computing. We also discuss the key requirements for enabling edge computing and open research challenges in realizing the vision of future computing tendency.
移动边缘计算(MEC)是无线通信的未来,也是云计算的替代方案。它是一种分散的计算基础设施,其中一些信号处理、存储、控制和计算应用以最有效、最合理的方式分布在数据源和云之间。移动边缘计算扩展了云计算的概念,以网络边缘的形式使云计算的优势更接近用户,从而减少了端到端的延迟。在本文中,我们通过提供现实生活中的场景和对当前边缘计算领域的研究工作进行分类,强调了移动计算的重要性。我们还讨论了实现边缘计算的关键要求,以及实现未来计算趋势愿景所面临的公开研究挑战。
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引用次数: 19
Closed Stability-Margined Regions for the Second-Order System with Robust Stability 二阶鲁棒稳定系统的闭稳定边缘区域
Pub Date : 2018-10-01 DOI: 10.1109/TENCON.2018.8650182
T. Deng
This paper generalizes the dented stability triangles for the second-order recursive digital system such that the borderlines of the dented stability triangles are included in the stability-margined (SM) region. This generalization enables the system designer to formulate the second-order system design more easily. More specifically, the existing inequalities for guaranteeing a specified stability margin are the inequalities that exclude the boundaries (borderlines) of the dented SM-regions, while this paper presents two sets of new inequalities that include the borderlines of the SM-regions and thus such inequalities produce a closed SM-region. In other words, the existing SM-regions are defined by using "less than" inequalities, while the new inequalities are "less than or equal to" inequalities. The added "equal to" constraints produces a closed region that includes borderlines in the SM-region. It is found that the resulting closed SM-regions are more convenient and more suitable for designing the second-order recursive system with robust stability.
推广了二阶递推数字系统的凹痕稳定三角形,使得凹痕稳定三角形的边界包含在稳定边域内。这种推广使系统设计者能够更容易地制定二阶系统设计。更具体地说,现有的保证特定稳定裕度的不等式是排除凹痕sm区域边界(边线)的不等式,而本文提出了两组包含sm区域边线的新不等式,从而产生了一个封闭的sm区域。换句话说,现有的sm区域是用“小于”不等式来定义的,而新的不等式是用“小于等于”不等式来定义的。添加的“等于”约束产生一个封闭区域,其中包括sm区域中的边界线。结果表明,所得到的闭sm区域更方便,更适合于设计具有鲁棒稳定性的二阶递推系统。
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引用次数: 1
TENCON 2018 Cover Page TENCON 2018封面页
Pub Date : 2018-10-01 DOI: 10.1109/tencon.2018.8650240
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引用次数: 0
Role of Spatio-Temporal Feature Position in Recognition of Human Vehicle Interaction 时空特征位置在人车交互识别中的作用
Pub Date : 2018-10-01 DOI: 10.1109/TENCON.2018.8650232
Qurat ul ain Ali, M. Yousaf
This paper presents a solution for incorporating the structural information along with local features to enhance the recognition accuracy of human-vehicle interaction activities. Proposed system aims to exploit Bag of Words for extracting structural information both spatial and temporal relationship between features from video data to help achieve better recognition accuracy for complex interaction scenes. Traditional Bag of Words (BOW) approach is inefficient in representing structural information, feature positions and their temporal relationships which makes it difficult for the classifier to recognise interaction and complex scenes. The classifier uses BOW along with spatial and temporal positions of features. Random Forest and kNN are used as classifiers to compare classification results and to find a trade-off between recognition accuracy and computational complexity. We have used state of the art dataset VIRAT (Video and Image Retrieval and Analysis Tool) for validation of our scheme. Random Forest and modified BOW (RF+mBOW) gives better recognition accuracy at the cost of higher computational time whereas kNN and modified BOW (kNN+mBOW) takes less time for computations while giving remarkable recognition results. We observed that Random Forest and modified BOW (RF+mBOW) outperforms all state of art methodologies.
本文提出了一种结合结构信息和局部特征的方法,以提高人车交互活动的识别精度。本系统旨在利用Bag of Words从视频数据中提取特征之间的时空关系结构信息,以提高对复杂交互场景的识别精度。传统的词袋(BOW)方法在表示结构信息、特征位置及其时间关系方面效率低下,使得分类器难以识别交互和复杂场景。分类器使用BOW以及特征的时空位置。使用随机森林和kNN作为分类器来比较分类结果,并在识别精度和计算复杂度之间找到权衡。我们使用了最先进的数据集VIRAT(视频和图像检索和分析工具)来验证我们的方案。随机森林和改进的BOW (RF+mBOW)以较高的计算时间为代价获得了更好的识别精度,而kNN和改进的BOW (kNN+mBOW)计算时间更少,识别效果显著。我们观察到随机森林和改进的BOW (RF+mBOW)优于所有最先进的方法。
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引用次数: 1
A New Charge Pump Switch Parallel to Series Connection 一种新型电荷泵开关并联串联
Pub Date : 2018-10-01 DOI: 10.1109/TENCON.2018.8650399
Seoung-hee Lee, C. Lee, H. Yoon
This paper proposed increase 2VIN+VCLK voltage series charge pump. Recently, trend of low power circuit designs a lower input voltage. But several circuit require high voltage. In this case, charge pump solves a problem with small area and cheap cost. Many Conventional charge pumps are connected parallel each capacitor. So many capacitors are required for high voltage. However proposed charge pump can supply high voltage easily and design less capacitors. Proposed circuit are comprised 2-stages with 5 capacitors. To compare with conventional charge pumps, proposed circuit design same component units.
本文提出增加2VIN+VCLK电压串联充电泵。近年来,低功耗电路设计的趋势是降低输入电压。但有些电路需要高电压。在这种情况下,电荷泵解决了面积小、成本低的问题。许多传统的充电泵并联连接每个电容器。高电压需要这么多的电容器。然而,所提出的电荷泵具有供电方便、电容器设计少等优点。所建议的电路由2级和5个电容器组成。为了与传统的电荷泵进行比较,提出了相同元件单元的电路设计。
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引用次数: 0
期刊
TENCON 2018 - 2018 IEEE Region 10 Conference
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