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2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)最新文献

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Location Tracking of Mobile Objects and the Privacy Tradeoff 移动对象的位置跟踪与隐私权衡
Sara Steinel, Justin Chudley, Ryan Mendoza, Abdelrahman Elleithy
The Internet of Things (IoT) and mobile sensing applications bring great potential to the modern world, as they enhance and improve quality of life. However, this technology possess security and privacy risks to people who become targets of massive data collection. Embedded sensors have infiltrated everyday personal devices, and large amounts of data are continuously collected through trace data. Location data, search queries, preferences, etc., are all being recorded. In this paper, we surveyed IoT technology and mobile sensing applications, discussed privacy implications, and summarized current proposed solutions to the privacy issue. We then proposed a new solution that represents a balance between data integrity and privacy. We proposed a combination of three existing security measures; cryptography, data obfuscation, and access control mechanisms.
物联网(IoT)和移动传感应用为现代世界带来了巨大的潜力,因为它们提高和改善了生活质量。然而,对于成为海量数据收集目标的人来说,这种技术存在安全和隐私风险。嵌入式传感器已经渗透到日常的个人设备中,通过追踪数据不断收集大量的数据。位置数据、搜索查询、偏好等都被记录下来。在本文中,我们调查了物联网技术和移动传感应用,讨论了隐私影响,并总结了目前提出的隐私问题解决方案。然后,我们提出了一个新的解决方案,代表了数据完整性和隐私之间的平衡。我们建议结合三项现有保安措施;密码学、数据混淆和访问控制机制。
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引用次数: 0
Music Streaming Service Prediction with MapReduce-based Artificial Neural Network 基于mapreduce的人工神经网络音乐流媒体服务预测
Min Chen
The problem on accurately predicting customer churn is critical to the long-term success in subscription business like music, games, magazines etc. It is quite challenging to design machine learning model to predict the customer churn accurately due to the large volume of the time-series data and the temporal issues of the data. In this paper, a parallel artificial neural network is proposed to create a highly-accurate customer churn model on a large customer dataset. The proposed model has achieved significant improvement in the accuracy of churn prediction. The scalability and effectiveness of the proposed algorithm is also studied.
准确预测用户流失对于音乐、游戏、杂志等订阅业务的长期成功至关重要。由于大量的时间序列数据和数据的时间问题,设计机器学习模型来准确预测客户流失是非常具有挑战性的。本文提出了一种并行人工神经网络,用于在大型客户数据集上建立高精度的客户流失模型。该模型显著提高了客户流失预测的准确性。研究了该算法的可扩展性和有效性。
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引用次数: 2
Automated Well Water Contamination Tester and Web Service 自动井水污染测试仪和网络服务
Brody E. Nagy, Sean A. Demers, D. Dow
Clean water sustains life. Contamination puts health at risk. Municipal water in developed regions is regulated by government environmental protection agencies, but well-water is not regulated. Well-water typically has recommended water tests and recommended maximum allowed levels of key contaminants, but the responsibility falls to the owner of the well. Many well-owners do not have the training or resources to coordinate annual water tests, interpret the test results and take appropriate treatment actions, if necessary. The goal of this study was to develop an automatic water testing system and record the results in a web service database accessible by the well owner and appropriate stakeholders. An Arduino based testing system was developed that tested for pH level, coliform bacteria, total dissolved solids (TDS), and lead. These four tests do not cover all the regulated contaminants, but these test values would be affected by many of the other contaminants of interest. Thus, these four water tests can serve a screening function, to warn if water contamination levels may be changing and need closer examination by a certified water testing service. The prototype obtained sampled water from a reservoir, but the envisioned system would have the water intake mechanism directly connected to the plumbing of the building to automatically obtain samples. The function of the prototype appears promising. The test results were sent by WiFi over an HTTP Request to a web service that was developed for this project. The web service received HTTP requests, had a SQL database, and front-end web pages for user system configuration and observation of test results. Further testing and development are necessary toward deployment. Such a home-based automatic testing system would reduce the risk of well-water being contaminated, but still being consumed because the well-owner did not realize the level of the contamination. Risk to health for many people who rely on well-water would be reduced.
干净的水维持生命。污染危及健康。发达地区的市政用水由政府环保机构监管,而井水则不受监管。井水通常有建议的水测试和建议的主要污染物的最大允许水平,但责任落在井的所有者身上。许多井主没有培训或资源来协调年度水测试、解释测试结果并在必要时采取适当的处理措施。本研究的目标是开发一种自动水测试系统,并将结果记录在网络服务数据库中,供井主和相关利益相关者访问。开发了一种基于Arduino的测试系统,用于测试pH值,大肠菌群细菌,总溶解固体(TDS)和铅。这四个测试不包括所有受管制的污染物,但这些测试值会受到许多其他感兴趣的污染物的影响。因此,这四种水质测试可以起到筛选的作用,如果水质污染水平可能发生变化,需要经过认证的水质测试服务机构进行更仔细的检查,就会发出警告。原型从水库中获取采样水,但设想的系统将有直接连接到建筑物管道的取水机制,以自动获取样本。原型机的功能看起来很有希望。测试结果通过HTTP请求通过WiFi发送到为这个项目开发的web服务。web服务接收HTTP请求,具有SQL数据库,以及用于用户系统配置和观察测试结果的前端web页面。进一步的测试和开发对于部署是必要的。这种基于家庭的自动检测系统将降低井水被污染的风险,但由于井主没有意识到污染的程度,仍然被消耗。许多依赖井水的人面临的健康风险将会降低。
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引用次数: 2
A Feedback Motion Plan for Vehicles with Bounded Curvature Constraints 有界曲率约束下车辆的反馈运动规划
Giovanni Miraglia, L. Hook
The use of a feedback motion plan instead of the decoupled scheme consisting of separate plan and control phases can facilitate the task of proving the properties of an autonomous system. The advantage of using a feedback motion plan is the possibility to validate the whole plan offline before its execution, which means that trajectories having different initial states can be tested simultaneously. In this paper, we formulate a feedback motion plan based on the extension of the wavefront expansion to the case of vehicles having bounded curvature. Additionally, the use of a transition function and a Gaussian filter limits undesired oscillations in the resultant trajectories. The method is suitable for both single goal missions and path following. The paper illustrates the algorithm for the generation of the plan and presents simulation data containing example trajectories and analysis of tuning parameters. Finally, future developments are discussed.
使用反馈运动方案代替由分离的计划和控制阶段组成的解耦方案可以方便地证明自治系统的性质。使用反馈运动计划的优点是可以在执行之前离线验证整个计划,这意味着可以同时测试具有不同初始状态的轨迹。本文将波前展开推广到曲率有界车辆的情况下,提出了一种反馈运动方案。此外,过渡函数和高斯滤波器的使用限制了合成轨迹中不希望出现的振荡。该方法既适用于单目标任务,也适用于路径跟踪。文中给出了规划生成的算法,并给出了包含示例轨迹和整定参数分析的仿真数据。最后,对未来的发展进行了展望。
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引用次数: 2
Deep Learning for Inexpensive Image Classification of Wildlife on the Raspberry Pi 树莓派上用于野生动物廉价图像分类的深度学习
Brian H. Curtin, Suzanne J. Matthews
Animal conservationists need unobtrusive methods of observing and studying wildlife in remote areas. Many commercial options for wildlife observation are expensive, obtrusive, or sub-optimal in remote environments. In this paper, we explore the viability of a Raspberry Pi-based camera system augmented with a deep learning image recognition model for detecting wildlife of interest. Unlike traditional sensor nodes that would have to transmit every captured image, localized image recognition enables only pictures of desired animals to be transferred to the user. For the purposes of this study, we use TensorFlow and Keras to create a convolutional neural network that runs on a Raspberry Pi 3B+. We trained the model on nearly 3,600 images gathered from publicly available image databases that are split into three classes. Our experiments suggest that our system can detect snow leopards with between 74 percent and 97 percent accuracy. We believe that our results show the viability of employing deep learning image recognition models on the Raspberry Pi to create an inexpensive system to observe wildlife.
动物保护主义者需要不引人注目的方法来观察和研究偏远地区的野生动物。许多野生动物观察的商业选择是昂贵的,突兀的,或者在偏远的环境中不太理想。在本文中,我们探索了基于树莓派的相机系统的可行性,该系统增强了深度学习图像识别模型,用于检测感兴趣的野生动物。传统的传感器节点必须传输每一张捕获的图像,而局部图像识别只允许将所需动物的图片传输给用户。为了本研究的目的,我们使用TensorFlow和Keras来创建一个在树莓派3B+上运行的卷积神经网络。我们在从公开可用的图像数据库中收集的近3600张图像上训练模型,这些图像被分为三类。我们的实验表明,我们的系统检测雪豹的准确率在74%到97%之间。我们相信,我们的研究结果表明,在树莓派上使用深度学习图像识别模型来创建一个廉价的系统来观察野生动物是可行的。
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引用次数: 17
A novel double spending attack countermeasure in blockchain 一种新的区块链双花攻击对策
Kervins Nicolas, Yi Wang
A blockchain database containing files regarding transactions of cryptocurrency is sometime vulnerable to double spending attack. This type of attack pertains to a coin being spent more in more that one transaction in the network. This paper is motivated by a goal to create a blockchain that can withstand double spending attacks. This way, honest miners will be able to safely and securely exchange cryptocurrency. There currently lack valuable prevention methods in the network therefore we designed a novel countermeasure to combat double spending attacks on the blockchain system. We proposed the MSP (Multistage Secure Pool) framework in order to address the vulnerabilities on the blockchain. This was designed to handle both discrete and general issues that affect the overall security of the blockchain. Our evaluation using this application shows that there was a decrease in the amount of attacks propagating through the system based on our system's robustness and capabilities. We also present machine learning capabilities of the system in our study in order to enable a progressive aspect to the design. Providing our application with the ability to analyze data in order to recognize and classify distinct actions will enable for greater comprehension. An application that learns, updates and configures to meet specified defensive standards present key design features which enables for greater understanding and future analysis of the overall blockchain network.
包含加密货币交易文件的区块链数据库有时容易受到双重支出攻击。这种类型的攻击适用于在网络中的多个交易中花费更多的硬币。这篇论文的动机是创建一个可以抵御双重支出攻击的区块链。这样,诚实的矿工将能够安全可靠地交换加密货币。目前网络中缺乏有价值的预防方法,因此我们设计了一种新的对策来对抗区块链系统的双重支出攻击。为了解决区块链上的漏洞,我们提出了MSP (Multistage Secure Pool)框架。这是为了处理影响区块链整体安全性的离散和一般问题。我们使用该应用程序进行的评估表明,基于系统的健壮性和功能,通过系统传播的攻击数量有所减少。在我们的研究中,我们还展示了系统的机器学习能力,以便使设计具有进步性。为我们的应用程序提供分析数据的能力,以便识别和分类不同的行为,这将使我们能够更好地理解。一个学习、更新和配置以满足指定防御标准的应用程序提供了关键的设计功能,可以更好地理解和未来分析整个区块链网络。
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引用次数: 5
Duty-Cycled, Sub-GHz Wake-up Radio with -95dBm Sensitivity and Addressing Capability for Environmental Monitoring Applications 占空比,Sub-GHz唤醒无线电,具有-95dBm灵敏度和寻址能力,用于环境监测应用
Agnelo R. Silva, R. Akbar, Richard H. Chen, K. Bakian-Dogaheh, Negar Golestani, M. Moghaddam, D. Entekhabi
A novel approach for duty-cycled wake-up radios (WuRs) is proposed with focus on environmental monitoring applications involving wireless sensing devices left unattended in harsh conditions. In this scenario, a higher data latency (on the order of seconds or minutes) is potentially acceptable if significant improvements are achieved in terms of a) communication range, b) reliability, and c) energy-efficiency. The solution is solely based on off-the-shelf components with two main novelties implemented by software. First, the Receiver Bandwidth Filter of a commercial sub-GHz radio transceiver is configured with a small value typically not used in data communications (e.g., 9.5 kHz). Such action leads to a higher reliability of the WuR operation in outdoors where longer distances are involved and multiple signal interfering factors may be present. Second, the WuR addressing feature is achieved at the analog domain without requiring data decoding of any symbol. Nonetheless, more than 1,000 nodes can still be individually awoken with the proposed solution considering the 915MHz-ISM band. The preliminary empirical results from five outdoors sites involving more than 30 nodes show no false-positives and less than 3% of false-negative cases for distances higher than 225m and non line-of-sight (NLOS) and obstructed line-of-sight (OLOS) due to vegetation, rocks, and topography. By accepting a longer wake-up latency (e.g., 1 minute), the proposed solution which combines WuR and duty-cycling techniques can excel existing commercial WUR solutions in terms of energy-efficiency by more than one order of magnitude.
针对恶劣环境下无人值守的无线传感设备的环境监测应用,提出了一种新的占空比唤醒无线电(WuRs)方法。在这种情况下,如果在a)通信范围、b)可靠性和c)能源效率方面取得重大改进,则可能可以接受更高的数据延迟(以秒或分钟为数量级)。该解决方案完全基于现成的组件,其中有两个主要的新奇之处由软件实现。首先,商用sub-GHz无线电收发器的接收器带宽滤波器配置为通常不用于数据通信的小值(例如,9.5 kHz)。在距离较远且可能存在多种信号干扰因素的户外环境中,这种动作可以提高WuR操作的可靠性。其次,在不需要对任何符号进行数据解码的情况下,在模拟域实现WuR寻址特性。尽管如此,考虑到915MHz-ISM频段,建议的解决方案仍然可以单独唤醒1000多个节点。来自5个户外站点的初步经验结果显示,在距离超过225米、非视线(NLOS)和由于植被、岩石和地形造成的视线遮挡(OLOS)的情况下,没有假阳性,假阴性病例不到3%。通过接受更长的唤醒延迟(例如,1分钟),所提出的解决方案结合了WuR和占空比技术,可以在能效方面优于现有的商业WuR解决方案一个数量级以上。
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引用次数: 1
Performance Analysis for Nonlinear MU-OFDM-DCSK Communication Systems 非线性MU-OFDM-DCSK通信系统性能分析
Chenbo Wang, Liang Hao, Baoji Wang, Jianhua Zhang, Yiming Lei
This paper investigates the bit error rate (BER) performance of the multiuser (MU) orthogonal frequency division multiplexing (OFDM) differential chaos shift keying (DCSK) system when the nonlinear distortion of power amplifiers is considered. Firstly, a nonlinear MU-OFDM-DCSK system model is established. Secondly, the close-form expression of BER performance is analytically derived. It is found that, BER function has a lower bound as operating point sweeps. Finally, the BER performance in linear and nonlinear systems are discussed when the system parameters sweep.
研究了考虑功率放大器非线性失真的多用户正交频分复用(OFDM)差分混沌移位键控(DCSK)系统的误码率性能。首先,建立了非线性MU-OFDM-DCSK系统模型。其次,解析导出了误码率性能的近似表达式。结果表明,当工作点扫描时,误码率函数有一个下界。最后,讨论了线性系统和非线性系统参数扫描时的误码率性能。
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引用次数: 1
GSM Based Irrigation System 基于GSM的灌溉系统
Arjun Dutta, Amit Kumar, B. Kumar, Abhishek Roy, Poulami Paul, Swarnabha Roy, Rahul Agarwala, A. Chakraborty, A. Ghosh, Himadri Nath Saha, Anirup Roy, A. Adarsh
In this modern world agriculture plays a vital role in the development of the country, economy and its people. Agriculture depends a lot on the source and supply of water and that becomes a major issue in places which rely solely on the monsoons as their primary source of water, since the monsoons are not evenly distributed all over the country every year. In such cases, the scheduled watering of the crops can get hampered, and that might in turn hamper the quality and quantity of crops produced. To overcome this problem, the proposed smart irrigation system can be employed in the field of agriculture. In agriculture, apart from a water source, two more aspects are of prime importance, namely, the moisture content of the soil and its fertility. In this system, based on the soil type and the moisture levels, water will be provided to the agricultural field. At present, there are several techniques available to reduce the dependency on seasonal rain for agriculture. Mostly these techniques use electricity. However, in this paper our aim is to propose a low cost, sustainable solution to the problem of water supply in indoor cultivation, farms and agricultural fields.
在当今世界,农业对国家、经济和人民的发展起着至关重要的作用。农业在很大程度上依赖于水源和供水,这在完全依赖季风作为主要水源的地方成为一个主要问题,因为季风每年在全国各地的分布并不均匀。在这种情况下,作物的预定浇水可能会受到阻碍,这可能反过来影响作物生产的质量和数量。为了克服这一问题,提出的智能灌溉系统可以应用于农业领域。在农业中,除了水源之外,还有两个方面是最重要的,即土壤的水分含量及其肥力。在这个系统中,根据土壤类型和湿度水平,将水提供给农田。目前,有几种技术可以减少农业对季节性降雨的依赖。这些技术大多使用电力。然而,在本文中,我们的目的是提出一种低成本,可持续的解决方案,以解决室内种植,农场和农业领域的供水问题。
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引用次数: 1
Adaptive Compensation H∞ Filter with Convergence Criterion for SINS’ Transfer Alignment 具有收敛准则的自适应补偿H∞滤波器用于捷联惯导系统的传递对准
Weiwei Lyu, Xianghong Cheng, Jinling Wang
Transfer alignment under the unknown external environment is a challenging problem in strapdown inertial navigation system (SINS). To suppress the filtering divergence when conducting transfer alignment, an adaptive compensation H∞ filter is proposed. This paper analyzes the cause of filtering divergence carefully and accordingly makes the corresponding adjustment and optimization. With the change of the unknown external environment, the robustness factor of the proposed filtering method can be dynamically adjusted. To solve the problem that the transfer alignment time is mainly determined according to experiences, the convergence criterion of the proposed filtering method is studied. The convergence criterion is based on the principles of mathematical statistics, and can automatically determine the convergence time of the filter. The aerial transfer alignment experiment illustrates that by using the convergence criterion, the alignment time can be effectively shortened and the response speed can be effectively improved.
未知外部环境下的传递对准是捷联惯导系统中的一个难题。为了抑制传输对准时的滤波发散,提出了一种自适应补偿H∞滤波器。本文仔细分析了滤波发散的原因,并进行了相应的调整和优化。随着未知外部环境的变化,所提滤波方法的鲁棒性因子可以动态调整。为解决传输对准时间主要根据经验确定的问题,研究了该滤波方法的收敛准则。该收敛准则基于数理统计原理,可自动确定滤波器的收敛时间。空中传送对准实验表明,采用该收敛准则可有效缩短对准时间,提高响应速度。
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引用次数: 0
期刊
2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)
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