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Concurrent Execution in Scripting Programming Language 'mruby' 18th

Concurrent Execution in Scripting Programming Language 'mrub...

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18th International conference on Computational Science and Its Applications (ICCSA)

作者： Tanaka, Kazuaki Maeda, Hiroyuki Higashi, Hirohito Kyushu Inst Technol Kitakyushu Fukuoka Japan Shimane IT Open Innovat Ctr Matsue Shimane Japan

ISBN: (纸本)9783319951683;9783319951676

embedded systems are systems in which hardware and software are closely linked. We've already released mruby, which is a programming language for embedded software development [1,2]. the language syntax of mruby is same as Ruby which is well known as higher productivity by web application developers [3]. Using mruby, we can code applications in embedded system easily [4]. Recently IoT, which connects sensor devices and internet, is widely users in many industrial areas. In IoT applications, several different kind of sensors is controlled by embedded software and its data is transferred to the internet. Such concurrent accessing to sensor devices are obviously complicated. We design the concurrent processing mechanism in mruby. In this paper, we show the result of concurrent execution and the key point in resource accessing.

关键词： embedded systems

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Continuous Low-Power Ammonia Monitoring Using Long Short-Term Memory Neural Networks 18

Continuous Low-Power Ammonia Monitoring Using Long Short-Ter...

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16th conference on embedded networked sensor systems (SENSYS)

作者： Jia, Zhenhua Lyu, Xinmeng Zhang, Wuyang Martin, Richard P. Howard, Richard E. Zhang, Yanyong Rutgers State Univ Wireless Informat Network Lab North Brunswick Township NJ 08902 USA

ISBN: (纸本)9781450359528

Accurate and continuous ammonia monitoring is important for laboratory animal studies and many other applications. Existing solutions are often expensive, inaccurate, or unsuitable for long-term monitoring. In this work, we propose a new ammonia monitoring approach that is low-power, automatic, accurate, and wireless. Our system uses metal oxide sensors which change their electrical resistance due to an induced reduction reaction with ammonia at high temperatures. Traditional methods infer the ammonia level by measuring the sensor's electrical resistance after it reaches equilibrium. Such a system consumes a significant amount of energy because reaching equilibrium requires heating the sensor for minutes. Our proposed approach does not wait for equilibrium, but tries to predict the resistance at equilibrium using the sensor's initial resistance response curve in a very short heating pulse (as short as 200ms). the prediction model is built on long short-term memory (LSTM) neural networks. We built 38 prototype sensors and a home-grown gas flow system. In a 3-month in-lab testing period, we conducted extensive experiments and collected 13,770 measurements. Our model accurately predicts the equilibrium state resistance value, with an average error rate of 0.12%. the final average estimation error for the ammonia concentration level is 9.38ppm. Given the ultra low power consumption and accurate measurements, we have partnered with cage vendors and deployed our system at two animal research facilities (NIH and Cornell University) for month-long medical trials.

关键词： Ammonia sensor Low-power Transient Response Long Short-term Memory Neural Networks

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Proceedings - 2018 IEEE 18th International conference on Software Quality, Reliability, and Security Companion, QRS-C 2018

Proceedings - 2018 IEEE 18th International Conference on Sof...

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18th IEEE International conference on Software Quality, Reliability, and Security Companion, QRS-C 2018

ISBN: (纸本)9781538678398

the proceedings contain 105 papers. the topics discussed include: FeT: hybrid cloud-based mobile bank application testing;defect prediction based on the characteristics of multilayer structure of software network;a new software reliability evaluation model based on the probability of the failure mode;design and application of a Sikuli based capture-replay tool;full digital simulation testing of networked embedded software;automated warship software testing system based on loadrunner automation API;MURE: making use of mutations to refine spectrum-based fault localization;metamorphic testing of image region growth programs in image processing applications;scenario-based software reliability testing and evaluation of complex information systems;a new method of evolutionary testing for path coverage;research on software failure analysis and quality management model;towards a Bayesian network model for predicting flaky automated tests;on the similarities between blockchains and Merkle-DamgaÅrd hash functions;smart contracts for a mobility-as-a-service ecosystem;and qualitative software reliability requirements: concept, classification and practical elicitation methods.

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FastDeepIoT: Towards Understanding and Optimizing Neural Network Execution Time on Mobile and embedded Devices 18

FastDeepIoT: Towards Understanding and Optimizing Neural Net...

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16th conference on embedded networked sensor systems (SENSYS)

作者： Yao, Shuochao Zhao, Yiran Shao, Huajie Liu, ShengZhong Liu, Dongxin Su, Lu Abdelzaher, Tarek Univ Illinois Urbana IL 61801 USA SYNY Buffalo Buffalo NY USA

ISBN: (纸本)9781450359528

Deep neural networks show great potential as solutions to many sensing application problems, but their excessive resource demand slows down execution time, pausing a serious impediment to deployment on low-end devices. To address this challenge, recent literature focused on compressing neural network size to improve performance. We show that changing neural network size does not proportionally affect performance attributes of interest, such as execution time. Rather, extreme run-time nonlinearities exist over the network configuration space. Hence, we propose a novel framework, called FastDeepIoT, that uncovers the non-linear relation between neural network structure and execution time, then exploits that understanding to find network configurations that significantly improve the trade-off between execution time and accuracy on mobile and embedded devices. FastDeepIoT makes two key contributions. First, FastDeepIoT automatically learns an accurate and highly interpretable execution time model for deep neural networks on the target device. this is done without prior knowledge of either the hardware specifications or the detailed implementation of the used deep learning library. Second, FastDeepIoT informs a compression algorithm how to minimize execution time on the profiled device without impacting accuracy. We evaluate FastDeepIoT using three different sensing-related tasks on two mobile devices: Nexus 5 and Galaxy Nexus. FastDeepIoT further reduces the neural network execution time by 48% to 78% and energy consumption by 37% to 69% compared with the state-of-the-art compression algorithms.

关键词： Deep Learning Execution Time Model Compression Mobile Computing Internet of things

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Neutron irradiation of an ARM Cortex-M0 Core 18

Neutron irradiation of an ARM Cortex-M0 Core

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18th European conference on Radiation and Its Effects on Components and systems (RADECS)

作者： Malatesta, Fabio Ottavi, Marco Furano, Gianluca Menicucci, Alessandra Cardarilli, Giancarlo Cazzaniga, Carlo Andreani, Carla Scatigno, Claudia Senesi, Roberto Univ Roma Tor Vergata Dept Elect Engn Rome Italy European Space Agcy European Space Technol Ctr Noordwijk Netherlands Delft Univ Technol Fac Aerosp Engn Space Syst Engn Delft Netherlands Rutherford Appleton Lab ISIS Didcot OX11 0QX Oxon England Univ Roma Tor Vergata Dipartimento Fis Via Ric Sci 1 I-00133 Rome Italy Univ Roma Tor Vergata NAST Ctr Via Ric Sci 1 I-00133 Rome Italy Univ Roma Tor Vergata Dipartimento Sci & Tecnol Chim Via Ric Sci 1 I-00133 Rome Italy

ISBN: (纸本)9781728102160

In this paper we report the measurement of the soft-error sensitivity of an ARM Cortex M0 core conducted at the ISIS ChipIR neutron irradiation facility. the test setup also included a CMOS camera sensor used for dosimetry estimation. the results provide the core memory and internal resources cross section thus giving useful information for developing ad-hoc fault tolerant techniques on sensitive parts.

关键词： Neutron test ARM Cortex M0 embedded systems cross section

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CapeVM: A Safe and Fast Virtual Machine for Resource-Constrained Internet-of-things Devices 18

CapeVM: A Safe and Fast Virtual Machine for Resource-Constra...

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16th conference on embedded networked sensor systems (SENSYS)

作者： Reijers, Niels Shih, Chi-Sheng Natl Taiwan Univ Taipei Taiwan

ISBN: (纸本)9781450359528

this paper presents CapeVM, a sensor node virtual machine aimed at delivering both high performance and a sandboxed execution environment that ensures malicious code cannot corrupt the VM's internal state or perform actions not allowed by the VM. CapeVM uses Ahead-of-Time compilation and introduces a range of optimisations to eliminate most of the overhead present in previous work on sensor node AOT compilers. A sandboxed execution environment is guaranteed by a set of checks. the structured nature of the VM's instruction set allows the VM to perform most checks at load time, reducing the need for expensive run-time checks compared to native code approaches. While some overhead from using a VM and adding sandbox checks cannot be avoided, CapeVM's optimisations reduce this overhead dramatically. We evaluate CapeVM using a set of IoT applications and show this results in a performance just 2.1x slower than unsandboxed native code. thus, CapeVM combines the desirable properties of existing work on both sandboxed execution and virtual machines for sensor nodes, with significantly improved performance.

关键词： sensor nodes virtual machines ahead-of-time compilers performance safety sandbox fault isolation

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Communication-Aware Prediction-Based Online Scheduling in High-Performance Real-Time embedded systems 18th

Communication-Aware Prediction-Based Online Scheduling in Hi...

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18th International conference on Algorithms and Architectures for Parallel Processing (ICA3PP)

作者： Goupille-Lescar, Baptiste Lenormand, Eric Parlavantzas, Nikos Morin, Christine Thales Res & Technol 1 Av Augustin Fresnel F-91120 Palaiseau France INRIA IRISA 263 Av Gen Leclerc F-35042 Rennes France IRISA INSA Rennes 263 Av Gen Leclerc F-35042 Rennes France

ISBN: (纸本)9783030050573;9783030050566

Current high-end, data-intensive real-time embedded sensor applications (e.g., radar, optronics) require very specific computing platforms. the nature of such applications and the environment in which they are deployed impose numerous constraints, including real-time constraints, and computing throughput and latency needs. Static application placement is traditionally used to deal with these constraints. However, this approach fails to provide adaptation capabilities in an environment in constant evolution. through the study of an industrial radar use-case, our work aims at mitigating the aforementioned limitations by proposing a low-latency online resource manager derived from techniques used in large-scale systems, such as cloud and grid environments. the resource manager introduced in this paper is able to dynamically allocate resources to fulfill requests coming from several sensors, making the most of the computing platform while providing guaranties on non-functional properties and Quality of Service (QoS) levels. thanks to the load prediction implemented in the manager, we are able to achieve a 83% load increase before overloading the platform while managing to reduce ten times the incurred QoS penalty. Further methods to reduce the impact of the overload are as well as possible future improvements are proposed and discussed.

关键词： embedded systems Real-time Scheduling Dynamic resource management

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Router Nodes Placement Using Artificial Immune systems for Wireless sensor Industrial Networks 18th

Router Nodes Placement Using Artificial Immune Systems for W...

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18th International conference on Enterprise Information systems (ICEIS)

作者： Gouvea Coelho, Pedro Henrique Machado do Amaral, Jorge Luis Machado do Amaral, Jose Franco de Arruda Barreira, Luciane Fernanda Barros, Adriano Valladao Univ Estado Rio De Janeiro FEN DETEL Rua Sao Francisco Xavier 524Sala 5001E BR-20550900 Rio De Janeiro RJ Brazil

ISBN: (纸本)9783319623863;9783319623856

the present work is concerned with the placement of router nodes in industrial environments for wireless sensor networks applications making use of artificial immune systems ideas. the motivation for using artificial immune systems lies on the properties of uniqueness, distributed sensing, learning and memory efficiency of such systems enabling the transmission of data from sensors to the gateway efficiently. As a matter of fact, that efficiency deals with a low rate of failure and other aspects such as minimizing retransmission issues done by the routers. the chosen criteria to be met are embedded in the so called affinity function which acts as an objective function. the router nodes positioning are accomplished in two modules which uses the immune systems concepts and related ideas. Different scenarios are considered for the presented examples based on oil and gas configurations and for criteria defined in the affinity function.

关键词： Artificial immune systems Node placement Wireless sensor networks

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Dynamic policies for cooperative networked systems 12

Dynamic policies for cooperative networked systems

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12th Workshop on the Economics of Networks, systems and Computation, NetEcon 2017

作者： Iosifidis, George Tassiulas, Leandros School of Computer Science and Statistics Trinity College Dublin Ireland Department of Electrical Engineering Yale University United States

ISBN: (纸本)9781450350891

A set of economic entities embedded in a network graph collaborate by opportunistically exchanging their resources to satisfy their dynamically generated needs. Under what conditions their collaboration leads to a sustainable economy? Which online policy can ensure a feasible resource exchange point will be attained, and what information is needed to implement it? Furthermore, assuming there are different resources and the entities have diverse production capabilities, which production policy each entity should employ in order to maximize the economy's sustainability? Importantly, can we design such policies that are also incentive compatible even when there is no a priori information about the entities' needs? We introduce a dynamic production scheduling and resource exchange model to capture this fundamental problem and provide answers to the above questions. Applications range from infrastructure sharing, trade and organization management, to social networks and sharing economy services. © 2017 Association for Computing Machinery.

关键词： Production control

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Towards Semantics in Wearable sensors: the Role of Transducers Electronic Data Sheets (TEDS) Ontology in sensor Networks 18

Towards Semantics in Wearable Sensors: The Role of Transduce...

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18th IEEE International conference on e-Health Networking, Applications and Services (Healthcom)

作者： Ajigboye, Olamidipupo S. Danas, Konstantinos Univ Kingston Comp & Informat Syst London England

ISBN: (纸本)9781509033706

sensors, actuators and event sensors are the major types of transducers recognized by the IEEE 21451 standards for Smart Transducers. these contain information embedded in the Transducer Electronic Data Sheets (TEDS) that help describe the transducer and identify it in a network. Advancement in sensor and information technologies has led to various designs and development in wearable medical devices e.g. wireless Electrocardiogram (ECG) monitoring devices used to measure heart physiological parameters for diagnosis and monitoring of patients' health remotely. Most wearables were designed and proposed on IEEE 11073 standards, while, advances in implementation and application of smart transducers are based on ISO/IEC/IEEE 21451 standards. therefore, seamless integration and interoperability between sensing technology in wearable and Health Information systems (HIS) requires attention on the interoperability opportunities at the semantic level. the proposed ontology was implemented using Protege, SPARQL was used to evaluate it, and the performance analysis shows the greater description of the transducers with improve rate of recall and enhance interoperability at the semantic level.

关键词： IEEE 21451.4 semantics smart transducers TEDS wearable systems

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