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2021 Twelfth International Conference on Ubiquitous and Future Networks (ICUFN)最新文献

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Reducing Model Cost Based on the Weights of Each Layer for Federated Learning Clustering 基于各层权重的联邦学习聚类模型成本降低
Pub Date : 2021-08-17 DOI: 10.1109/ICUFN49451.2021.9528575
Hyungbin Kim, Yongho Kim, Hyunhee Park
Federated Learning (FL) has a different learning framework from existing machine learning, which had to centralize training data. Federated learning has the advantage of protecting privacy because learning is performed on each client device rather than the central server, and only the weight parameter values, which are the learning results, are sent to the central server. However, the performance of federated learning shows relatively low performance compared to cloud computing, and in reality, it is difficult to build a federated learning environment due to the high communication cost between the server and multiple clients. In this paper, we propose Federated Learning with Clustering algorithms (FLC). The proposed FLC is a method of clustering clients with similar characteristics by analyzing the weights of each layer of a machine learning model, and performing federated learning among the clustered clients. The proposed FLC can reduce the communication cost for each model by reducing the number of clients corresponding to each model. As a result of extensive simulation, it is confirmed that the accuracy is improved by 2.4% and the loss by 47% through the proposed FLC compared to the standard federated learning.
联邦学习(FL)具有与现有机器学习不同的学习框架,现有机器学习必须集中训练数据。联邦学习具有保护隐私的优点,因为学习是在每个客户机设备上而不是在中央服务器上执行的,并且只有权重参数值(即学习结果)被发送到中央服务器。然而,与云计算相比,联邦学习的性能表现出相对较低的性能,并且在现实中,由于服务器与多个客户端之间的通信成本较高,因此难以构建联邦学习环境。在本文中,我们提出了带有聚类算法的联邦学习(FLC)。本文提出的FLC是一种通过分析机器学习模型每层的权重来聚类具有相似特征的客户端的方法,并在聚类客户端之间进行联邦学习。所提出的FLC可以通过减少每个模型对应的客户端数量来降低每个模型的通信成本。大量的仿真结果证实,与标准的联邦学习相比,通过所提出的FLC,准确率提高了2.4%,损失降低了47%。
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引用次数: 7
Measurement of Colored Noise from Spot-Welding Machine in a Factory 某工厂点焊机有色噪声的测量
Pub Date : 2021-08-17 DOI: 10.1109/ICUFN49451.2021.9528742
J. Park, Wanjei Cho, Kyoung-Min Park, Seong-Hwan Hyun, Seong-Cheol Kim, DongEun Kim, Hyung Jun Park
A smart factory environment is becoming increasingly important as the 4th industrial revolution has garnered increasing attention. Formulating a complete wireless condition is the most important aspect of a smart factory. Therefore, making a factory suitable for wireless communication is essential. However, excessive spot-welding machines in a factory result in colored noises, which may cause severe performance degradation in wireless communication. In this study, we measured and analyzed channel noise from a spot-welding machine in a Hyundai Motors Group factory using a spectrum analyzer.
随着第四次工业革命受到越来越多的关注,智能工厂环境变得越来越重要。制定一个完整的无线条件是智能工厂最重要的方面。因此,使工厂适合无线通信是必不可少的。然而,工厂中过多的点焊机会产生有色噪声,这可能会导致无线通信性能的严重下降。在本研究中,我们使用频谱分析仪测量和分析了现代汽车集团工厂点焊机的通道噪声。
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引用次数: 0
A High Accuracy Low Power Convolution Operator with 12T SRAM for CNN 基于12T SRAM的CNN高精度低功耗卷积算子
Pub Date : 2021-08-17 DOI: 10.1109/ICUFN49451.2021.9528655
Tae Seob Oh, Younggun Pu, Kangyoon Lee
To get high accuracy, various weight should be stored in memory. For this, this paper presents tri-state weight static random access memory(SRAM). 12T SRAM is a form of power gating on the conventional 10T SRAM. By using power gating, the inverter can be turned off. The new weight (0) can be stored in 12T SRAM when inverter is turned off. The operator fabricated in a 0.18-µm CMOS process dissipates 172.3µW with the supply of 1.8V while convolution. Even without sizing, the writing margin is better than the conventional SRAM and the accuracy is improved by 23.2%.
为了获得较高的精度,需要将各种权重存储在内存中。为此,本文提出了三态权重静态随机存取存储器(SRAM)。12T SRAM是传统10T SRAM上的一种功率门控形式。通过使用功率门控,可以关闭逆变器。当逆变器关闭时,新的权重(0)可以存储在12T SRAM中。在0.18µm CMOS工艺中制造的算子在卷积时功耗为172.3µW,电源为1.8V。即使没有调整大小,写入余量也比传统的SRAM好,精度提高了23.2%。
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引用次数: 1
The Impact of Energy-Inefficient Communications on Location Privacy Protection in Monitoring Wireless Networks 低能耗通信对监控无线网络位置隐私保护的影响
Pub Date : 2021-08-17 DOI: 10.1109/ICUFN49451.2021.9528714
L. Mutalemwa, Seokjoo Shin
Wireless sensor networks (WSNs) have gained increasing popularity in ubiquitous support of sensing system services. Often, WSNs are energy-constrained and they are deployed in harsh and unattended environments. Consequently, WSNs are vulnerable to energy and environmental factors. To ensure secure and reliable operations in safety-critical monitoring WSNs, it is important to guarantee energy-efficient communications, location privacy protection, and reliability. Fake packet-based source location privacy (SLP) protocols are known to be energy-inefficient. Therefore, in this study, we investigate the impact of energy-inefficient communications on the privacy performance of the fake packet-based SLP protocols. Experiment results show that the protocols achieve short-term and less reliable SLP protection.
无线传感器网络(WSNs)在无处不在的传感系统服务支持中越来越受欢迎。通常,无线传感器网络是能源有限的,它们部署在恶劣和无人值守的环境中。因此,无线传感器网络容易受到能源和环境因素的影响。为了确保安全关键型监控wsn安全可靠地运行,必须保证通信的高能效、位置隐私保护和可靠性。假的基于数据包的源位置隐私(SLP)协议被认为是低效的。因此,在本研究中,我们研究了能源效率低下的通信对基于假数据包的SLP协议的隐私性能的影响。实验结果表明,该协议实现了短期且不可靠的SLP保护。
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引用次数: 0
Channel Capacity for a Model of Packet Level Index Modulation in LPWA Networks 低功耗广域网中分组级索引调制模型的信道容量
Pub Date : 2021-08-17 DOI: 10.1109/ICUFN49451.2021.9528540
Riku Yamabe, M. Nishiara, O. Takyu
Packet level index modulation is a modulation scheme that can expand the transmission capacity without changing the existing LPWA (Low Power Wide Area) communication standard. In this paper, we calculate the theoretical capacity of the channel. In this modulation scheme, time is treated as a unit of slots and there are multiple channels that can transmit packets. To comply with the 10 % duty cycle of LPWA specification, we assume that only 1 packet is transmitted per 10 slot. In general, it is possible to transmit $N$ packets in 10N slots. We calculate the capacity of the channel for this model.
分组级索引调制是一种在不改变现有低功率广域(LPWA)通信标准的情况下扩大传输容量的调制方案。在本文中,我们计算了信道的理论容量。在这种调制方案中,时间被视为一个时隙单位,并且有多个信道可以传输数据包。为了符合LPWA规范的10%占空比,我们假设每10个时隙只传输1个数据包。一般来说,在10N个插槽中传输$N$数据包是可能的。我们计算了这个模型的信道容量。
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引用次数: 1
Schema Ontology Model to Support Semantic Interoperability in Healthcare Applications: Use Case of Depressive Disorder 支持医疗保健应用中语义互操作性的模式本体模型:抑郁症用例
Pub Date : 2021-08-17 DOI: 10.1109/ICUFN49451.2021.9528708
I. Chong, Sajjad Ali
The provision of semantic interoperability among heterogeneous data is important issue to cope with a tremendous potential of diverse healthcare applications. This paper describes schema ontology models to support semantic interoperability in healthcare applications of depressive disorder (DD) using the framework of Web of Objects (WoO). And the implementation aspects of semantics interoperability with required schema ontology models and their integrated associations are defined to characterize the target interoperable ontology of affective DD states.
在异构数据之间提供语义互操作性是应对各种医疗保健应用程序巨大潜力的重要问题。本文利用对象Web (Web of Objects, WoO)框架,描述了支持抑郁症(DD)医疗保健应用中语义互操作性的模式本体模型。定义了语义互操作与所需模式本体模型的实现方面及其集成关联,以表征情感DD状态的目标互操作本体。
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引用次数: 0
ICUFN 2021 Program at a Glance ICUFN 2021计划概览
Pub Date : 2021-08-17 DOI: 10.1109/icufn49451.2021.9528802
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引用次数: 0
Dynamic Priority Scheduling Mechanism Based on Spatio-Temporal Correlation for VANETs 基于时空相关性的vanet动态优先级调度机制
Pub Date : 2021-08-17 DOI: 10.1109/ICUFN49451.2021.9528829
Shuai Zhang, Jinglei Li, Qinghai Yang, K. Kwak
A dynamic priority scheduling scheme is conceived for the safety messages of vehicular ad-hoc networks (VANETs). The priority of a message is dynamically adjusted for satisfying the specific VANETs safety requirements. A spatio-temporal correlation function based on the message-priority is developed, which monotonically decreases as the transmission range and the transmission duration increasing. Additionally, the spreading of a message is limited to the dynamic life-span and spatial area. Our simulations demonstrate that the proposed scheduling scheme is capable of significantly reducing the network's duplicated teletraffic when the vehicular density is high, whilst improving the achievable transmission range in the low vehicular density.
针对车载自组织网络(VANETs)的安全信息,提出了一种动态优先级调度方案。消息的优先级是动态调整的,以满足特定的VANETs安全要求。建立了基于消息优先级的时空相关函数,该函数随着传输距离和传输时间的增加而单调减小。此外,信息的传播受动态生命周期和空间区域的限制。仿真结果表明,在车辆密度较大的情况下,该调度方案能够显著减少网络的重复通信,同时在车辆密度较低的情况下提高可实现的传输距离。
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引用次数: 0
Three-Dimensional Foot Contact Position on a Smart Fitness Trampoline with a Upward Looking Wide View Imaging System 具有向上视广角成像系统的智能健身蹦床的三维足部接触位置
Pub Date : 2021-08-17 DOI: 10.1109/ICUFN49451.2021.9528679
Sekyung Park, Junkyu Park, Jong-Deuk Ahn, B. Cho, Suwoong Lee, Minyoung Kim
This study estimates the position and depth of the user's foot contacts of playing on a trampoline by acquiring the image of the footprint shadow and processing it to enable quantitative analysis of jumping (as a fitness exercise) or to link it to computer games. First, a hardware prototype of a jumping fitness monitoring system is proposed, consisting of a trampoline, an upward-looking wide-angle fish-eye camera module, and a signal processing embedded board. Second, image-based three-dimensional foot contact position estimation (I3D-FeE) algorithms are proposed, comprising the foot contact position estimation algorithm in the transverse plane and the foot contact depth estimation algorithm in the vertical direction. The foot contact positions were estimated using the binary image of the foot shadow obtained by extracting the binary masks of the trampoline and foot. The foot contact depth was estimated using the similarity ratio of the footprint shadow sizes. To verify the usefulness of the proposed system and the accuracy of the proposed contact position estimation algorithms, a series of experiments were conducted using a robotic manipulator. The experimental results show that the X and Y coordinates of the foot contact position and the Z coordinate of the foot contact depth were successfully estimated within an average error of 3.40 (mm), 3.26 (mm), and 4.49 (mm), respectively.
本研究通过获取足迹阴影图像并对其进行处理,以实现跳跃(作为健身运动)的定量分析或将其与电脑游戏联系起来,从而估计用户在蹦床上玩脚接触的位置和深度。首先,提出了一种跳跃健身监测系统的硬件样机,该系统由蹦床、上视广角鱼眼摄像头模块和信号处理嵌入式板组成。其次,提出了基于图像的三维足部接触位置估计算法(I3D-FeE),包括横切面的足部接触位置估计算法和垂直方向的足部接触深度估计算法。通过提取蹦床和足部的二值掩模得到足部阴影的二值图像,估计足部接触位置。利用足迹阴影大小的相似比估计足部接触深度。为了验证所提出的系统的有效性和所提出的接触位置估计算法的准确性,使用机器人机械手进行了一系列实验。实验结果表明,在平均误差3.40 (mm)、3.26 (mm)和4.49 (mm)的范围内,成功估计了足部接触位置的X坐标和Y坐标以及足部接触深度的Z坐标。
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引用次数: 1
Storing Blockchain Data in Public Storage 将区块链数据存储在公共存储中
Pub Date : 2021-08-17 DOI: 10.1109/ICUFN49451.2021.9528568
Khikmatullo Tulkinbekov, Deok‐Hwan Kim
The idea of blockchain has emerged in many applications, including IoT data processing, over the last few years. Because of the guaranteed security, the blockchain is believed to create the backbone of future technologies as a P2P network. However, applying the blockchain protocol in IoT data computing faces a severe challenge related to extensive data management. This paper presents a BlockStore, the method for storing blockchain data in single public storage while maintaining the security features. The BlockStore also resolves the access management and recovery issues among the blockchain nodes. The preliminary experiments prove that the expected research brings a considerable advantage to IoT data management using blockchain.1
在过去的几年里,区块链的概念已经出现在许多应用中,包括物联网数据处理。由于有保证的安全性,区块链被认为是未来P2P网络技术的支柱。然而,区块链协议在物联网数据计算中的应用面临着与广泛的数据管理相关的严峻挑战。本文提出了一种区块链存储方法,该方法将区块链数据存储在单个公共存储中,同时保持安全特性。BlockStore还解决了区块链节点之间的访问管理和恢复问题。初步实验证明,预期的研究为使用区块链进行物联网数据管理带来了相当大的优势
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引用次数: 2
期刊
2021 Twelfth International Conference on Ubiquitous and Future Networks (ICUFN)
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