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International Joint Conference on Neural Networks

作者： Yufei Tang Jun Yang Department of Computer & Electrical Engineering and Computer Science and the Institute for Sensing and Embedded Network Systems Engineering Florida Atlantic University Boca Raton FL 33431 USA School of Electrical Engineering Wuhan University Wuhan 430072 Hubei Province China

ISBN: (纸本)9781509061839

In this paper, a novel framework for dynamic event monitoring in smart grid with synchrophasor data is proposed. The fundamental principle is that the nonstationary signatures of any dynamic event in the system will be captured by the data set collected from the phase measurement units (PMUs). The framework is performed in three steps: 1) Energy function components construction by using PMU data. Each of the component in the energy function, such as the load, transmission line, and generation, are formulated explicitly;2) Unsupervised feature learning and fusion by using the energy function components. In the feature learning stage, stacked autoencoders (SAE) is used to learn representative features from each component. Then in the feature fusion stage, a shared representation between modalities is further learned;and 3) Supervised classifier training and online application. Classifier, such as a simple neural network, is trained for monitoring the system dynamics to detect and classify events. Compared with purely data-driven methods, the proposed framework utilizes the physical basis to understand and correlate the features with different events. Meanwhile, because of learning features automatically and adaptively, the proposed method reduces the need of human labor and can be more easy to process big data in smart grid. Simulation is carried out on IEEE 39-bus system, and the results show promising effectiveness on dynamic event detection and classification.

关键词： Generators Power system dynamics Monitoring Phasor measurement units Power transmission lines Transmission line measurements System dynamics

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Rapid mobile development with ARC: Application framework for robust communications for disaster risk reduction and management 12

Rapid mobile development with ARC: Application framework for...

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12th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2016

作者： Santos, Jan Vincent Torres, Danah Veronica Villanoy, Monica Kathrina Festin, Cedric Angelo Doctor, John Norman Ocampo, Roel Networks and Distributed Systems Group Department of Computer Science University of the Philippines Philippines Computer Networks Laboratory Electrical and Electronics Engineering Institute University of the Philippines Philippines

ISBN: (纸本)9781509007240

In disaster situations communication and power infrastructure could be damaged, disrupting their associated services. This could delay relief efforts and cost more lives. In situations where connections are damaged and unreliable, peer-to-peer (P2P) and delay-tolerant networking (DTN) technologies can help provide alternative communication modes particularly in support of rescue and relief operations. Combining the benefits of the store-and-forward capability of DTN and the data propagation techniques of Wi-Fi Direct, we have created a flexible framework called ARC which allows users to create applications that could meet their specific requirements, particularly those in support of emergency communications. To demonstrate our framework, we created a simple application using ARC, and used this application to evaluate its DTN and Wi-Fi Direct group recovery capabilities. © 2016 IEEE.

关键词： Wireless local area networks (WLAN)

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Unfolding the Mutual Relation Between Timeliness and Scalability in Cloud Monitoring

Unfolding the Mutual Relation Between Timeliness and Scalabi...

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IEEE Symposium on computers and Communications

作者： Guilherme da Cunha Rodrigues Rodrigo N. Calheiros Glederson Lessa dos Santos Vinicius Tavares Guimaraes Lisandro Zambenedetti Granville Liane Tarouco Rajkumar Buyya Science and Technology Sul Rio-Grandense Federal Institute of Education Charqueadas Brazil School of Computing Engineering and Mathematics Western Sydney University Sydney Australia Computer Networks Group Institute of Informatics Federal University of Rio Grande do Sul Porto Alegre Brazil Cloud Computing and Distributed Systems (CLOUDS) Laboratory School of Computing and Information Systems The University of Melbourne Melbourne Australia

Cloud computing is a suitable solution for professionals, companies, and institutions that need to have access to computational resources on demand. Clouds rely on proper management to provide such computational resources with adequate quality of service, which is established by Service Level Agreements (SLAs), to customers. In this context, cloud monitoring is a critical function to achieve such proper management. Cloud monitoring systems have to accomplish requirements to perform its functions properly, and currently, there are plenty of requirements which includes: timeliness, adaptability, comprehensiveness, and scalability. However, such requirements usually have mutual influence, which is positive or negative, among them-selves, and it has prevented the development of complete cloud monitoring solutions. This paper presents a mathematical model to predict the mutual influence between timeliness and scalability, which is a step forward in cloud monitoring because it paves the way for the development of complete monitoring solutions. It complements our previous work that identified the monitoring parameters (e.g., frequency sampling, amount of monitoring data) that influence timeliness and scalability. Evaluations present the effectiveness of the mathematical model based on a comparison of the results provided by the mathematical model and the results obtained via simulation.

关键词： Monitoring Mathematical model Topology Scalability Cloud computing Network topology Time factors

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Partitioned fluid-structure-acoustics interaction on distributed data: Coupling via preCICE

Partitioned fluid-structure-acoustics interaction on distrib...

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International Conference on Software for Exascale Computing, SPPEXA 2015

作者： Bungartz, Hans-Joachim Lindner, Florian Mehl, Miriam Scheufele, Klaudius Shukaev, Alexander Uekermann, Benjamin Scientific Computing in Computer Science Technical University of Munich München Germany Institute for Parallel and Distributed Systems University of Stuttgart Stuttgart Germany

ISBN: (纸本)9783319405261

One of the great prospects of exascale computing is to simulate challenging highly complex multi-physics scenarios with different length and time scales. A modular approach re-using existing software for the single-physics model parts has great advantages regarding flexibility and software development costs. At the same time, it poses challenges in terms of numerical stability and parallel scalability. The coupling library preCICE provides communication, data mapping, and coupling numerics for surface-coupled multi-physics applications in a highly modular *** recapitulate the numerical methods but focus particularly on their parallel implementation. The numerical results for an artificial coupling interface show a very small runtime of the coupling compared to typical solver runtimes and a good parallel scalability on a number of cores corresponding to a massively parallel simulation for an actual, coupled simulation. Further results for actual application scenarios from the field of fluid-structure-acoustic interactions are presented in the next chapter. © Springer International Publishing Switzerland 2016.

关键词： Numerical methods

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Scalable adaptive NUMA-aware Lock combining local locking and remote locking for efficient concurrency 16

Scalable adaptive NUMA-aware Lock combining local locking an...

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21st ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPoPP 2016

作者： Zhang, Mingzhe Lau, Francis C.M. Wang, Cho-Li Cheng, Luwei Chen, Haibo Dept. Computer Science University of Hong Kong Hong Kong Facebook United States Institute of Parallel and Distributed Systems Shanghai Jiao Tong University China

ISBN: (纸本)9781450340922

Scalable locking is a key building block for scalable multi-threaded software. Its performance is especially critical in multi-socket, multi-core machines with non-uniform memory access (NUMA). Previous schemes such as local locking and remote locking only perform well under a certain level of contention, and often require non-trivial tuning for a particular configuration. Besides, for large NUMA systems, because of unmanaged lock server's nomination, current distance-first NUMA policies cannot perform satisfactorily. In this work, we propose SANL, a locking scheme that can de-liver high performance under various contention levels by adap-tively switching between the local and the remote lock scheme. Furthermore, we introduce a new NUMA policy for the remote lock that jointly considers node distances and server utilization when choosing lock servers. A comparison with seven represen-tative locking schemes shows that SANL outperforms the others in most contention situations. In one group test, SANL is 3.7 times faster than RCL lock and 17 times faster than POSIX mutex. © 2016 ACM.

关键词： Locks (fasteners)

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Cell indicator system for pharmacies

Cell indicator system for pharmacies

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2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017

作者： Chou, Pai H. Tseng, Hua-Min Hsu, Ting-Yu Lee, Cheng-Ting Nien, Chin-Chung Chien, Su-Yu Center for Embedded and Cyber-Physical Systems University of California Irvine IrvineCA92697-2625 United States Department of Computer Science National Tsing Hua University Hsinchu City Taiwan Service Systems Technology Center Industrial Technology Research Institute Hsinchu City Taiwan Department of Pharmacy Changhua Christian Hospital Changhua City Taiwan

ISBN: (纸本)9781538604342

This paper describes an indicator system that helps prevent errors by pharmacists when filling a prescription. It uses an optical tag scanner to read a barcode or QR-code tag that encodes the prescribed medicine and lights up the corresponding cell in the medicine cabinet. The scanning subsystem used by the pharmacist is connected to the database wirelessly via Bluetooth Low Energy Technology (BLE) for easy deployment. The indicator subsystem uses a novel row-column scanning circuitry to minimize the number of general-purpose input/output (GPIO) pins that are required of the microcontroller unit (MCU) for maximum scalability and minimum hardware. Experimental results in a real pharmacy setting show the proposed system to be effective in minimizing dispensing errors while meeting cost and performance targets for commercial use. © 2017 IEEE.

关键词： Bluetooth

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On Using BOC Modulation in Ultra-Low Power Sensor Networks for Wildlife Tracking

On Using BOC Modulation in Ultra-Low Power Sensor Networks f...

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IEEE Wireless Communications and Networking Conference

作者： Muhammad Nabeel Bastian Bloessl Falko Dressler Distributed Embedded Systems Institute of Computer Science University of Paderborn

ISBN: (纸本)9781467398152

Localization and tracking of small animals in the wild using sensor networks require nodes with ultra-low power consumption, which are particularly challenging to design. Here, we target the tracking of bats in their natural habitat and have to limit the weight of the mote to 2g. To optimize the energy consumption in this scenario, the combination of data communication and ranging is essential. The limitations of the platform and the specific use case ask for a dedicated signal design. We start exploring the use of Binary Offset Carrier (BOC), which is known to be well suited for localization. In this paper, we concentrate on the data communication part of the system. We develop a BOC transceiver in Software Defined Radio (SDR) and perform simulations as well as lab measurements to evaluate its performance and compare it to Binary Phase-Shift Keying (BPSK), which is often used in low-power sensor systems. Most importantly, we conducted realistic field measurements to study the effects of multipath fading and shadowing. Our results clearly show that BOC is perfectly suited for ultra-low power communication in forest environments.

关键词： BOC gene Multipath fading data communication tracking Sensor networks energy consumption Habitat field measure Bats Power consumption low power consumption

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Deterministic models of the physical layer through signal simulation 8

Deterministic models of the physical layer through signal si...

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8th EAI International Conference on Simulation Tools and Techniques, SIMUTOOLS 2015

作者： Maier, Daniel Moser, Steffen Slomka, Frank Institute of Embedded Systems/Real-Time Systems Faculty of Engineering and Computer Science and Psychology Ulm University Germany

ISBN: (纸本)9781631900792

Current wireless network simulators provide very detailed and deterministic models of the network protocol layers, whereas rather simple and stochastic models, based on the signal-to-noise ratio, are used for the simulation of the physical layer. Although this approach can be sufficient to study the behavior of different upper layer protocol variations, it prevents an easy alteration of the physical layer because a stochastic abstraction of the physical layer must be provided in advance. In particular, the simulation of distributed systems with physical layers that are designed to have several senders transmitting signals at the same time intentionally, is hardly possible with current approaches. A further problem of stochastic physical layer simulations is the fact that the radio channel's influence must also be carried out stochastically, which limits the advantage of accurate ray-optical channel models. We present a novel approach for the accurate simulation of the physical layer by utilizing existing software-defined radio implementations to create signals, to calculate interference and to decode signals. This technique enables us to simulate wireless networks holistically and, furthermore, we can fully exploit the possibilities of available ray-optical channel models. Copyright © 2015 ICST.

关键词： Wireless networks

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On the Integration of Adaptive and Interactive Robotic Smart Spaces

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Paladyn 2015年第1期6卷 165-179页

作者： Dragone, Mauro Saunders, Joe Dautenhahn, Kerstin Distributed System Group School of Computer Science and Statistics Trinity College Dublin Ireland Adaptive Systems Research Group Science and Technology Research Institute University of Hertfordshire United Kingdom

Enabling robots to seamlessly operate as part of smart spaces is an important and extended challenge for robotics R&D and a key enabler for a range of advanced robotic applications, such as AmbientAssisted Living (AAL) and home automation. The integration of these technologies is currently being pursued from two largely distinct view-points: On the one hand, people-centred initiatives focus on improving the user's acceptance by tackling human-robot interaction (HRI) issues, often adopting a social robotic approach, and by giving to the designer and-in a limited degree-to the final user(s), control on personalization and product customisation features. On the other hand, technologically-driven initiatives are building impersonal but intelligent systems that are able to pro-actively and autonomously adapt their operations to fit changing requirements and evolving users' needs, but which largely ignore and do not leverage human-robot interaction and may thus lead to poor user experience and user acceptance. In order to inform the development of a new generation of smart robotic spaces, this paper analyses and compares different research strands with a view to proposing possible integrated solutions with both advanced HRI and online adaptation capabilities. © 2015 Mauro Dragone et al.

关键词： Human robot interaction

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A Geospatial Orchestration Framework on Cloud for Processing User Queries

A Geospatial Orchestration Framework on Cloud for Processing...

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IEEE International Conference on Cloud Computing in Emerging Markets (CCEM)

作者： Jaydeep Das Arindam Dasgupta Soumya K. Ghosh Rajkumar Buyya Advanced Technology Development Centre Indian Institute of Technology Kharagpur India Department of Computer Science and Engineering Indian Institute of Technology Kharagpur India Cloud Computing and Distributed Systems (CLOUDS) The University of Melbourne Australia

ISBN: (纸本)9781509045747

The demand for computing resources to process the geographical information (GI) queries has been increased drastically. The query helps the users to get the variety of information to serve their needs. Resolving the spatial queries, huge number of heterogeneous data sources along with different computing services are involved. Getting appropriate results within a specific time bound, orchestration among those data sources and web services are required. These services are available on the web and require different resource specifications in order to resolve a geospatial query. A cloud infrastructure has been utilized for scalable resource allocation. An orchestration engine has been developed to access the geospatial resources according to query requirement. In this paper, we have proposed and developed geographical data query processing framework which orchestrates spatial services according to user query in cloud environment. The empirical experimentation shows the efficiency of the proposed framework to resolve spatial queries in timely manner.

关键词： Geospatial analysis Cloud computing Engines Spatial databases Roads Spatial resolution

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