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The FlyZone Testbed Architecture for Aerial Drone Applications 用于空中无人机应用的FlyZone测试平台架构
IF 1 Q4 TELECOMMUNICATIONS Pub Date : 2020-08-10 DOI: 10.1145/3417084.3417088
Mikhail Afanasov, Luca Mottola
Aerial drones represent a new breed of mobile computing. Compared to mobile phones and connected cars that only opportunistically sense or communicate, aerial drones offer direct control over their movements. They can thus implement functionality that were previously beyond reach, such as collecting high-resolution imagery, exploring near-inaccessible areas, or inspecting remote areas to gather fine-grain environmental data.
空中无人机代表了一种新型的移动计算。与手机和联网汽车只能偶然地感知或交流相比,无人机可以直接控制它们的行动。因此,它们可以实现以前无法实现的功能,例如收集高分辨率图像,探索接近无法到达的区域,或检查偏远地区以收集细粒度环境数据。
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引用次数: 0
Towards Low-Cost, Ubiquitous High-Time Resolution Sensing for Terrestrial Spectrum 迈向低成本、无所不在的地面频谱高时间分辨率遥感
IF 1 Q4 TELECOMMUNICATIONS Pub Date : 2020-08-10 DOI: 10.1145/3417084.3417090
Yeswanth Guddeti, Raghav Subbaraman, M. Khazraee, Aaron Schulman, Dinesh Bharadia
Spectrum utilization has become increasingly fragmented and diverse, with millions of devices supporting multiple protocols and use cases. A smartphone today uses LTE, Bluetooth, and Wi-Fi simultaneously, spanning multiple GHz of spectrum. In such an environment, comprehensive knowledge of spectrum usage can help in ushering in better networked system design, unified control, and provide new ways of understanding cyber-physical interactions. A versatile spectrum sensor that can monitor all utilized bands quickly and at low cost is a crucial enabler for such applications. Such a sensor is difficult to realize due to the vast size of the terrestrial spectrum and the necessity to keep up with fleeting wireless communication signals in innumerable bands. Additionally, it needs to be inexpensive and suitable for mass deployment. We introduce a new paradigm, in which the spectrum sensor can "sweep" over a wide band of spectrum quickly and extract useful information, such as occupancy and protocol type. The system, dubbed SweepSense, is prototyped on inexpensive hardware and opens up opportunities for new applications that were previously intractable, even with expensive solutions.
频谱利用变得越来越分散和多样化,数百万设备支持多种协议和用例。今天的智能手机同时使用LTE、蓝牙和Wi-Fi,跨越多个GHz的频谱。在这样的环境下,对频谱使用的全面了解有助于引入更好的网络系统设计和统一控制,并提供理解网络物理交互的新方法。一种能够快速、低成本地监测所有已利用波段的多功能频谱传感器是此类应用的关键推动因素。由于地面频谱的巨大尺寸以及必须在无数频带中跟上转瞬即逝的无线通信信号,这种传感器很难实现。此外,它需要价格低廉,适合大规模部署。我们引入了一种新的范例,在这种范例中,频谱传感器可以快速地“扫描”宽频段的频谱,并提取有用的信息,如占用和协议类型。这套名为SweepSense的系统以廉价的硬件为原型,为以前难以解决的新应用开辟了机会,即使有昂贵的解决方案。
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引用次数: 1
Phyjama Phyjama
IF 1 Q4 TELECOMMUNICATIONS Pub Date : 2020-08-10 DOI: 10.1145/3417084.3417092
A. Kiaghadi, S. Z. Homayounfar, Jeremy Gummeson, Trisha L. Andrew, Deepak Ganesan
A key challenge that has emerged in recent years is the ability to remotely monitor patients, particularly elderly individuals while they are at home. This is particularly important given demographic shifts; the WHO estimates that the global share of the population aged 65 years or over increased from 6 percent in 1990 to 9 percent in 2019, and is projected to increase to 16 percent in the next two decades [1]. While the increase in life expectancy is a tremendous achievement, it also presents a growing need to go beyond episodic measurement collected in clinical settings to continuous monitoring at home. Indeed, this issue has become particularly acute in recent times in light of the COVID-19 pandemic and the need to ensure timely treatment delivery while at the same time protecting elderly from exposure to the virus and alleviating burden on support staff.
近年来出现的一个关键挑战是远程监测患者,特别是老年人在家时的能力。考虑到人口结构的变化,这一点尤为重要;据世卫组织估计,全球65岁及以上人口比例从1990年的6%增至2019年的9%,预计未来20年将增至16%[1]。虽然预期寿命的延长是一项巨大的成就,但它也表明越来越需要超越在临床环境中收集的间歇性测量,而需要在家中进行连续监测。事实上,鉴于COVID-19大流行以及确保及时提供治疗的必要性,这一问题最近变得尤为严重,同时保护老年人免受病毒感染并减轻支助人员的负担。
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引用次数: 2
Standardization Advances for Cellular and Wi-Fi Coexistence in the Unlicensed 5 and 6 GHz Bands 无授权5和6 GHz频段中蜂窝和Wi-Fi共存的标准化进展
IF 1 Q4 TELECOMMUNICATIONS Pub Date : 2020-08-10 DOI: 10.1145/3417084.3417086
V. Sathya, Srikant Manas Kala, M. I. Rochman, M. Ghosh, Sumit Roy
Small-cell LTE and Wi-Fi networks are both currently deployed in the unlicensed 5 GHz bands globally, leading to the need for new coexistence regulations between two very different access technologies. 3GPP standardized LTE Licensed Assisted Access (LTE-LAA) addresses the above coexistence challenge with Wi-Fi through incorporation of similar sensing and back-off features. The success of LAA's fair and efficient coexistence with Wi-Fi can be considered a benchmark for collaborative cellular operation in unlicensed bands.
目前全球范围内,小蜂窝LTE和Wi-Fi网络都部署在未经许可的5ghz频段,这就需要在两种截然不同的接入技术之间制定新的共存规则。3GPP标准化LTE许可辅助接入(LTE- laa)通过整合类似的传感和回退功能,解决了上述与Wi-Fi共存的挑战。LAA与Wi-Fi公平高效共存的成功,可以被视为在无证频带中协同蜂窝操作的基准。
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引用次数: 40
The Emerging Landscape of Edge Computing 边缘计算的新兴景观
IF 1 Q4 TELECOMMUNICATIONS Pub Date : 2020-05-15 DOI: 10.1145/3400713.3400717
S. Noghabi, Landon P. Cox, S. Agarwal, G. Ananthanarayanan
Edge computing is a trending notion introduced a decade ago as a new computing paradigm for interactive mobile applications. The initial vision of the edge was a multi-tenant resource that will be used opportunistically for low-latency mobile applications. Despite that vision, we see in practice a different set of applications, driven by large-scale enterprises that have emerged and are driving realworld edge deployments today. In these applications, the edge is the primary place of storage and computation and, if network conditions allow, the cloud is opportunistically used alongside. We show how these enterprise deployments are driving innovation in edge computing. Enterprise-driven scenarios have a different motivation for using the edge. Instead of latency, the primary factors are limited bandwidth and unreliability of the network link to the cloud. The enterprise deployment layout is also unique: on-premise, single-tenant edges with shared, redundant outbound links. These previously unexplored characteristics of enterprise-driven edge scenarios open up a number of unique and exciting future research challenges for our community.
边缘计算是十年前引入的一种趋势概念,作为交互式移动应用程序的新计算范式。边缘的最初设想是一个多租户资源,将用于低延迟的移动应用程序。尽管有这样的愿景,但我们在实践中看到了一组不同的应用程序,这些应用程序由已经出现的大型企业驱动,并且正在推动当今现实世界的边缘部署。在这些应用程序中,边缘是存储和计算的主要场所,如果网络条件允许,云也可以与之一起使用。我们将展示这些企业部署如何推动边缘计算的创新。企业驱动的场景有不同的使用边缘的动机。主要因素不是延迟,而是带宽有限和网络连接到云的不可靠性。企业部署布局也是独一无二的:内部部署、单租户边缘以及共享的冗余出站链接。这些以前未被探索的企业驱动边缘场景的特征为我们的社区开辟了许多独特而令人兴奋的未来研究挑战。
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引用次数: 41
2019 ACM SIGMOBILE Outstanding Contributions Award: Roy Want 2019年ACM SIGMOBILE杰出贡献奖:Roy Want
IF 1 Q4 TELECOMMUNICATIONS Pub Date : 2020-05-15 DOI: 10.1145/3400713.3400716
A. Helal
Dr. Roy Want has been named the recipient of the 2019 SIGMOBILE Outstanding Contributions Award. For three decades, Roy has been the central figure in context-awareness, which enables mobile systems to adapt their behavior to dynamic variables such as device location and nearby users. Among his earliest contributions was the first mechanism known for context-awareness - the Active Badge system that identified individual mobile users to the infrastructure.
Roy Want博士被任命为2019年SIGMOBILE杰出贡献奖的获得者。三十年来,Roy一直是上下文感知领域的核心人物,上下文感知使移动系统能够根据设备位置和附近用户等动态变量调整其行为。他最早的贡献之一是第一种已知的上下文感知机制——将单个移动用户识别到基础设施的Active Badge系统。
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引用次数: 0
Fluid: Flexible User Interface Distribution for Ubiquitous Multi-Device Interaction 流体:用于无处不在的多设备交互的灵活用户界面分布
IF 1 Q4 TELECOMMUNICATIONS Pub Date : 2020-05-15 DOI: 10.1145/3400713.3400719
Sangeun Oh, Ahyeon Kim, Sunjae Lee, Kilho Lee, Dae R. Jeong, I. Shin, Steven Y. Ko
A recent trend in the global mobile/IoT industry is the emergence of next-generation smart devices with various screens, thus mobile/IoT market leaders are highly focused on building a new multi-device computing ecosystem based on such new smart devices. Market leaders are not only simply varying their screen sizes, but also competitively launching new devices equipped with innovative screens like foldable and dual-screen phones. However, the current mobile computing ecosystem is restricted by the single device paradigm that allows a user to interact with only one screen tethered to a single device, limiting the potential that the emerging multi-device computing trend provides.
全球移动/物联网行业最近的一个趋势是各种屏幕的下一代智能设备的出现,因此移动/物联网市场领导者高度关注基于这种新型智能设备构建新的多设备计算生态系统。市场领导者们不仅仅是简单地改变屏幕尺寸,而且还竞相推出配备可折叠屏幕和双屏幕手机等创新屏幕的新设备。然而,当前的移动计算生态系统受到单一设备范例的限制,该范例允许用户仅与连接在单个设备上的一个屏幕进行交互,从而限制了新兴的多设备计算趋势所提供的潜力。
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引用次数: 3
Learning to Listen... On-Device 学会倾听……设备内置
IF 1 Q4 TELECOMMUNICATIONS Pub Date : 2020-05-15 DOI: 10.1145/3400713.3400715
Ravichander Vipperla, Samin S. Ishtiaq, Rui Li, S. Bhattacharya, Ilias Leontiadis, N. Lane
We have reached an important milestone in Automatic Speech Recognition (ASR) technology, with major industrial AI companies, such as Samsung, Google, Apple, and Amazon releasing high-quality ASR models that run completely on-device, e.g., on consumer smartphones. This is the consequence of giant strides in technological advancements: from making commercial grade ASR systems feasible; to large scale cloud deployments; to the present day state-of-the-art models that run on resource constrained devices.
我们已经在自动语音识别(ASR)技术上达到了一个重要的里程碑,主要的工业人工智能公司,如三星、bb0、苹果和亚马逊,发布了完全在设备上运行的高质量ASR模型,例如在消费者智能手机上。这是技术进步的巨大进步的结果:从使商业级ASR系统可行;大规模云部署;到目前为止,在资源有限的设备上运行的最先进的模型。
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引用次数: 0
Software-Defined Cooking Using a Microwave Oven 使用微波炉的软件定义烹饪
IF 1 Q4 TELECOMMUNICATIONS Pub Date : 2020-05-15 DOI: 10.1145/3400713.3400718
Haojian Jin, Jingxian Wang, Swarun Kumar, Jason I. Hong
Since their introduction to the consumer market in the 1970s, microwaves have seen widespread adoption and, today, they are the third most popular domestic food heating method (after baking and grilling). Indeed, the original patents for the microwave by Raytheon Inc. in the late 1940s envisioned a universal food cooking instrument for all kinds of food ranging from meat to fish [2]. While microwaves have revolutionized the kitchen since their inception, today's consumer microwaves are mainly used as a blunt heating instrument (e.g., reheating pizzas) rather than a precise cooking equipment (e.g. cooking steak). The potential of microwave cooking is limited by the fact that today's microwaves heat food blindly, resulting in a non-uniform and unpredictable heating distribution [3].
自从20世纪70年代进入消费市场以来,微波炉已经被广泛采用,今天,它们是第三大最受欢迎的家庭食品加热方法(仅次于烘焙和烧烤)。事实上,雷神公司(Raytheon Inc.)在20世纪40年代末为微波炉申请的原始专利设想了一种通用的食物烹饪工具,可以烹饪从肉类到鱼类等各种食物[2]。虽然微波炉从一开始就彻底改变了厨房,但今天的消费者微波炉主要被用作钝加热工具(例如,重新加热披萨),而不是精确的烹饪设备(例如,烹饪牛排)。微波烹饪的潜力受到限制,因为今天的微波盲目加热食物,导致加热分布不均匀且不可预测[3]。
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引用次数: 1
Strobe: Towards Low-Cost Soil Sensing Using Wi-Fi 频闪:利用Wi-Fi实现低成本土壤传感
IF 1 Q4 TELECOMMUNICATIONS Pub Date : 2020-05-15 DOI: 10.1145/3400713.3400720
Jian Ding, Ranveer Chandra
The knowledge of soil moisture and electrical conductivity (EC) is critical for a variety of agricultural applications. For example, precision irrigation, which refers to the variable application of water in different regions of the farm, depends on accurate soil moisture values at different depths. This technique helps reduce water use, and also reduces soil leaching and contamination of ground water by chemicals in fertilizers and other agricultural inputs. Soil EC is another key indicator of soil health. It has been shown to correlate very well with crop yield and plant nutrient availability, and the USDA recommends that farmers measure soil EC to determine soil treatment plans and management zones for Precision Agriculture [1].
土壤水分和电导率(EC)的知识是各种农业应用的关键。例如,精确灌溉是指在农场的不同区域进行不同的用水,它取决于不同深度的精确土壤湿度值。这项技术有助于减少水的使用,也减少了土壤浸出和化肥和其他农业投入中的化学物质对地下水的污染。土壤EC是土壤健康的另一个关键指标。它已被证明与作物产量和植物养分有效性密切相关,美国农业部建议农民测量土壤EC,以确定精确农业的土壤处理计划和管理区[1]。
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引用次数: 1
期刊
GetMobile-Mobile Computing & Communications Review
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