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2018 IEEE Seventh International Conference on Communications and Electronics (ICCE)最新文献

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引用次数: 0
Evaluation of the Detection Capabilities of the ONOS SDN Controller ONOS SDN控制器检测能力评估
Christopher Metter, Valentin Burger, Zheng Hu, Ke Pei, Florian Wamser
The process of monitoring the network, especially for larger ones, is very complex and contains many pitfalls. For instance the balance between granularity of information and their performance impact on the network. With the help of SDN this challenge can become easier, as it offers new methods, mechanisms and opportunities. One of the current most important Open Source controllers is the ONOS SDN controller. According to its developers it is a production ready controller that offers high availability due to its logically centralized and physically distributed architecture. But, as our investigations show, it is unable to cope with hazardous network conditions such as sporadic or recurring packet loss. It either does not detect packet loss or only detects it after long time periods, failing all common network availability targets.
监控网络的过程,特别是大型网络的监控,是非常复杂的,并且包含许多陷阱。例如,信息粒度与其对网络的性能影响之间的平衡。在SDN的帮助下,这一挑战变得更加容易,因为它提供了新的方法、机制和机会。当前最重要的开源控制器之一是ONOS SDN控制器。根据其开发人员的说法,它是一个生产就绪的控制器,由于其逻辑集中式和物理分布式架构,它提供了高可用性。但是,正如我们的调查表明,它无法应对诸如零星或反复出现的数据包丢失等危险的网络条件。它要么不检测丢包,要么在很长一段时间后才检测到丢包,无法达到所有常见的网络可用性目标。
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引用次数: 1
ICCE 2018 Sponsors
{"title":"ICCE 2018 Sponsors","authors":"","doi":"10.1109/cce.2018.8465742","DOIUrl":"https://doi.org/10.1109/cce.2018.8465742","url":null,"abstract":"","PeriodicalId":118716,"journal":{"name":"2018 IEEE Seventh International Conference on Communications and Electronics (ICCE)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133804183","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: 0
Pilot Decontamination using Time-shifted Pilot and Data-aided Channel Estimation for Massive MIMO 基于时移导频和数据辅助信道估计的大规模MIMO导频去污
Dang‐An Nguyen, Anh-Tuan Nguyen, Huy-Dung Han, V. Nguyen, M. Zia
In this paper, we focus on pilot contamination problem in multi-cell massive multi-input multi-output (MIMO) systems. In general, orthogonal pilot across users and cells leads to bandwidth inefficiency. We propose an uplink transmission protocol design in which the pilot portions of users overlap with data from other cells and even partially overlap across cells. Semi-blind algorithms are applied to separate the data streams from user equipments (UEs). With the proposed protocol and semi-blind algorithms, the pilot contamination is greatly reduced. The simulation results show that with the help of semi-blind algorithm employing Constant Modulus Algorithm, the system performance is superior compared to that of the existing schemes.
本文主要研究多单元大规模多输入多输出(MIMO)系统中的导频污染问题。通常,跨用户和小区的正交导频会导致带宽效率低下。我们提出了一种上行传输协议设计,其中用户的导频部分与来自其他小区的数据重叠,甚至部分重叠跨小区。采用半盲算法将数据流从用户设备中分离出来。利用所提出的协议和半盲算法,大大减少了导频污染。仿真结果表明,在采用恒模算法的半盲算法的帮助下,系统性能优于现有方案。
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引用次数: 1
Comparison of Feature Extraction for Accent Dependent Thai Speech Recognition System 基于口音的泰语语音识别系统特征提取比较
S. Tantisatirapong, Chalisa Prasoproek, M. Phothisonothai
This paper aims to compare the feature extraction methods for accent dependent Thai speech from three regions including central, southern and northeastern regions. We investigate four frequency analysis methods: i.e., Energy Spectral Density (ESD), Power Spectral Density (PSD), Mel-Frequency Cepstral Coefficients (MFCC) and Spectrogram (SPT). Radial basis function kernel based on support vector machine is used as a classifier with 5-fold cross validation. The isolated speech data sets are recorded from 30 male and 30 female participants speaking the 10 Thai digits from 0 to 9. The MFCC-based feature gives better accuracy than ESD, PSD and SPT respectively. For within the same region, the MFCC-based feature provides average accuracy of 94.9% and 99.1% for male and female voices respectively. For the three regions, the MFCC-based feature provides average accuracy of 89.34% and 93.81% for male and female voices, respectively.
本文旨在比较中部、南部和东北部三个地区泰语重音依赖语音的特征提取方法。我们研究了四种频率分析方法:能量谱密度(ESD)、功率谱密度(PSD)、mel -频率倒谱系数(MFCC)和谱图(SPT)。采用基于支持向量机的径向基函数核作为分类器进行5次交叉验证。独立的语音数据集记录了30名男性和30名女性参与者说10个泰国数字从0到9。基于mfc的特征分别比ESD、PSD和SPT具有更好的精度。在同一区域内,基于mfc的特征对男声和女声的平均准确率分别为94.9%和99.1%。对于这三个区域,基于mfc的特征对男声和女声的平均准确率分别为89.34%和93.81%。
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引用次数: 5
Efficient Channel Column Sorting Method based on Householder Transformation for QRM-MLD 基于户主变换的QRM-MLD高效通道柱分选方法
Shoichi Higuchi, K. Maruta, C. Ahn
In recent years, a high speed data transmission system has been widely researched. Multiple-Input and Multiple-Output (MIMO) systems are one of the key technologies to achieve a high speed data transmission. To realize superior bit error rate (BER) performance, several detection methods for MIMO system have been proposed. QR decomposition with M-algorithm (QRM-MLD) has been proposed to achieve the superior BER performance like Maximum Likelihood Detection (MLD) with low computational complexity. Since the signal detection of QRM-MLD has carried on serial processing, the detection order is crucial to improve the detection performance. To mitigate the detection error in the previous stage, Sorted QR decomposition (SQRD) has been proposed. To implement SQRD, we need an accurate channel column order. However, the complexity and processing delay are considerable works. To solve these problems, we propose a novel channel column sorting method to reduce the calculation complexity and latency. From the simulation results, the proposed scheme achieves superior BER performance with low complexity and latency.
近年来,高速数据传输系统得到了广泛的研究。多输入多输出(MIMO)系统是实现高速数据传输的关键技术之一。为了实现更好的误码率性能,提出了几种MIMO系统的检测方法。基于m -算法的QR分解(QRM-MLD)可以获得与最大似然检测(MLD)一样优异的误码率性能和较低的计算复杂度。由于QRM-MLD的信号检测进行了串行处理,因此检测顺序对提高检测性能至关重要。为了减轻前一阶段的检测误差,提出了排序QR分解(SQRD)方法。为了实现SQRD,我们需要一个准确的通道列顺序。然而,复杂性和处理延迟是相当大的工作。为了解决这些问题,我们提出了一种新的通道列排序方法来降低计算复杂度和延迟。仿真结果表明,该方案具有较低的误码率和较低的时延。
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引用次数: 1
ICCE 2018 Committee
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引用次数: 0
Water and Energy-Efficient Irrigation based on Markov Decision Model for Precision Agriculture 基于马尔科夫决策模型的精准农业节水与节能灌溉
Truong Thu Huong, N. Huu Thanh, Nguyen Thi Van, Nguyen Tien Dat, N. Long, Alan Marshall
Nowadays, water has become an increasingly scarce and valuable resource, yet, by far the largest demand for the world’s water comes from agriculture. Irrigation is still not efficient in the sense of water usage as well as yield increase. In this paper, we propose a generic irrigation model based on Markov Decision Processes termed Markov-Decision based Irrigation (MDI) for creating automatic and precise irrigation policies for an energy and water efficient farming as well as to ensure good crop growth. MDI is developed at the gateway that decides smart irrigation actions for each autonomous sub area inside a whole farm. The results presented show that MDI outperforms the common threshold-based irrigation method by around 40% in our analytical use case. Furthermore, this model can be generalized for many types of crops and environments.
如今,水已经成为一种越来越稀缺和宝贵的资源,然而,到目前为止,世界上对水的最大需求来自农业。灌溉在用水和增产方面仍不有效。在本文中,我们提出了一种基于马尔可夫决策过程的通用灌溉模型,称为基于马尔可夫决策的灌溉(MDI),用于创建自动和精确的灌溉政策,以实现节能和节水的农业,并确保作物的良好生长。MDI是在网关开发的,它决定整个农场内每个自治子区域的智能灌溉行动。结果表明,在我们的分析用例中,MDI比常见的基于阈值的灌溉方法高出约40%。此外,该模型可以推广到许多类型的作物和环境。
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引用次数: 13
Estimating skeleton-based gait abnormality index by sparse deep auto-encoder 稀疏深度自编码器估计基于骨骼的步态异常指数
Trong-Nguyen Nguyen, H. Huynh, J. Meunier
This paper proposes an approach estimating a gait abnormality index based on skeletal information provided by a depth camera. Differently from related works where the extraction of hand-crafted features is required to describe gait characteristics, our method automatically performs that stage with the support of a deep auto-encoder. In order to get visually interpretable features, we embedded a constraint of sparsity into the model. Similarly to most gait-related studies, the temporal factor is also considered as a post-processing in our system. This method provided promising results when experimenting on a dataset containing nearly one hundred thousand skeleton samples.
提出了一种基于深度相机提供的骨骼信息估计步态异常指数的方法。与需要手工提取特征来描述步态特征的相关工作不同,我们的方法在深度自编码器的支持下自动执行该阶段。为了获得视觉上可解释的特征,我们在模型中嵌入了稀疏性约束。与大多数步态相关的研究类似,在我们的系统中,时间因素也被认为是一种后处理。在包含近10万个骨骼样本的数据集上进行实验时,该方法提供了令人满意的结果。
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引用次数: 11
An Empirical Study on Approaches of Internet of Things Reconfiguration 物联网重构方法的实证研究
Dang Huynh-Van, Khanh Tran-Quoc, Quan Le-Trung
Internet of Things (IoTs) has recently got a plethora of research, and in the deployment of IoTs applications, IoTs devices can be located in the remote areas or dangerous places. Additionally, IoTs application might need to be updated to change behaviors under the dynamic changes of environment or unpredicted events. Therefore, the reconfiguration of IoTs devices and applications over-the-air (OTA) through the IoTs network protocols is of vital importance. In IoTs reconfiguration, there are many middlewares and softwares have been developed and deployed. In this paper, we review and classify different approaches on IoTs reconfiguration, and select TinyOS/Telosb platform to perform empirical experiments to compare among those approaches on the resources usage, code dissemination time as well as summary results of analyzing packet transmission between wireless sensor nodes.
物联网(iot)最近得到了大量的研究,在物联网应用的部署中,物联网设备可以位于偏远地区或危险地方。此外,物联网应用可能需要更新,以改变环境动态变化或不可预测事件下的行为。因此,通过物联网网络协议对物联网设备和应用进行空中重构至关重要。在物联网重构中,已经开发和部署了许多中间件和软件。本文对不同的物联网重构方法进行了综述和分类,并选择TinyOS/Telosb平台进行了实证实验,比较了这些方法在资源使用、代码传播时间以及分析无线传感器节点间数据包传输的总结结果。
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引用次数: 1
期刊
2018 IEEE Seventh International Conference on Communications and Electronics (ICCE)
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