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2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018

作者： Kralevska, Katina Dimitrios Vergados, J. Jiang, Yuming Michalas, Angelos Dep. of Information Security and Communication Technology NTNU Norwegian University of Science and Technology Norway School of Electrical and Computer Engineering National Technical University of Athens Greece Department of Informatics Engineering Technological Education Institute of Western Macedonia Kastoria Greece

ISBN: (纸本)9781538632277

The recently created IETF 6TiSCH working group combines the high reliability and low-energy consumption of IEEE 802. 15.4e Time Slotted Channel Hopping with IPv6 for industrial Internet of Things. We propose a distributed link scheduling algorithm, called Local Voting, for 6TiSCH networks that adapts the schedule to the network conditions. The algorithm tries to equalize the link load (defined as the ratio of the queue length over the number of allocated cells) through cell reallocation. Local Voting calculates the number of cells to be added or released by the 6TiSCH Operation Sublayer 6top. Compared to a representative algorithm from the literature, Local Voting provides simultaneously high reliability and low end-to-end latency while consuming significantly less energy. Its performance has been examined and compared to On-the- fly algorithm in 6TiSCH simulator by modeling an industrial environment with 50 sensors. © 2018 IEEE.

关键词： Resource allocation

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Temporal Estimates of Crop Growth in Sorghum and Maize Breeding Enabled by Unmanned Aerial Systems

Plant Phenome Journal

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Plant Phenome Journal 2018年第1期1卷 1-10页

作者： Pugh, N. Ace Horne, David W. Murray, Seth C. Carvalho, Geraldo Malambo, Lonesome Jung, Jinha Chang, Anjin Maeda, Murilo Popescu, Sorin Chu, Tianxing Starek, Michael J. Brewer, Michael J. Richardson, Grant Rooney, William L. Dep. of Soil and Crop Sciences Texas A&M Univ. College Station 77843 TX United States Dep. of Ecosystem Science and Management Texas A&M Univ. College Station 77843 TX United States Dep. of Engineering and Computer Science Texas A&M Univ. Corpus Christi 78412 TX United States Texas A&M AgriLife Research Texas A&M Univ. System Corpus Christi 78406 TX United States Conrad Blucher Institute for Surveying and Science School of Engineering and Computing Sciences Texas A&M Univ. Corpus Christi 78412 TX United States

Core Ideas: We comprehensively validated the use of UAS in sorghum and maize breeding programs. Temporal estimates of plant growth will allow researchers to elucidate new phenotypes. The stage of the breeding pipeline dictates the applicability of UAS platforms. The implementation of UAS is demonstrated in different crop species. Monetary and time costs should be considered before implementation of UAS. To meet future world food and fiber demands, plant breeders must increase the rate of genetic improvement of important agricultural crops. One of the biggest obstacles now facing crop scientists is a phenotyping bottleneck. To ease this burden, the emerging technology of unmanned aerial systems (UAS) presents an exciting opportunity. To assess the utility of UAS, it is important to investigate their application across multiple crop species. Terminal plant height is of great importance to maize (Zea mays L.) and sorghum [Sorghum bicolor (L.) Moench] breeders and has been hypothesized to be useful but has been logistically impractical to measure in the field. In this study, we statistically analyzed in dep.h the ability of UAS to estimate height in sorghum (advanced and early generation material) and maize (optimal and late material) and the application of these estimates in breeding programs. We found that UAS explain genotypic variation similarly to ground-truth methods and that the repeatability of the methodology is high (R = 0.61–0.99), indicating effective differentiation of genotypes. Additionally, correlations between ground truth and UAS measurements were moderate to high for all materials (r = 0.4–0.9). Finally, we present a novel application for the technology in the form of high-resolution temporal growth curves. Using these UAS-generated growth curves, new physiological insights can be obtained and new avenues of scientific investigation are possible. Copyright © American Society of Agronomy and Crop science Society of America

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Using Scrum for Implementing IT Governance with COBIT 5

Using Scrum for Implementing IT Governance with COBIT 5

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International Conference on Enterprise Distributed Object Computing (EDOC)

作者： Ana Cláudia Amorim Miguel Mira da Silva Rúben Pereira Margarida Gonçalves Dep. of Computer Science and Engineering Instituto Superior Técnico Lisbon Portugal Dep. of Information Systems ISCTE Lisbon Portugal Quasinfalival Lisbon Portugal

COBIT 5 is a widely-used framework for implementing sound governance of enterprise IT (GEIT). Despite the existence of official guidance, there are still several challenges that we can encounter. Currently, the ISACA's official implementation solution follows a sequentially ordered process corresponding to a traditional approach, however, organizations are increasingly embracing more agile ones for managing projects where the solution is not clear from the beginning. Using the Design science Research Methodology, the authors analyse the current state of art and provide a Scrum based methodology for managing at team level a COBIT 5 programme. With a hybrid agile-traditional approach, the authors aim to eliminate some known challenges of COBIT 5, such as lack of support from top management and misaligned scopes and solutions. Additionally, in this paper, the authors present the results obtained from applying the designed methodology in a COBIT 5 programme in the Portuguese Finance Ministry, as well as inspect two series of interviews: 10 performed with experts from both Scrum and COBIT 5 areas to evaluate the solution, and 6 others with the team involved in the demonstration programme, to understand if the objectives where achieved. The article ends with lessons learned, limitations and future work.

关键词： Organizations Software Stakeholders Resistance Interviews Finance

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Big Data from Space for Precision Agriculture Applications

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IOP Conference Series: Earth and Environmental science 2020年第1期509卷

作者： F Bovolo L Bruzzone D Fernández-Prieto C Paris Y T Solano-Correa E Volden M Zanetti Fondazione Bruno Kessler Center for Information and Communication Technology Trento Italy Dep. of Information Engineering and Computer Science University of Trento Trento Italy European Space Agency (ESA) ESRIN Frascati Italy

This paper presents an approach for precision agriculture large scale applications based on the analysis of big data consisting in Satellite Image Time Series (SITS) acquired by ESA Sentinel-2 (S2) satellite constellation. The approach has been developed in the framework of the ESA SEOM - Scientific Exploitation of Operational Missions - S2-4Sci Land and Water project [1]. To focus only on agricultural areas, images are first filtered based on a land cover (LC) map that is generated by updating available old maps by means of recent images. Then S2 SITS are used to analyse agricultural areas. Two macro challenges are therefore considered: (i) automatic update of LC maps and generation of agricultural areas mask; and (ii) unsupervised multi-temporal (MT) fine characterization of land plots.

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A Gaussian Process Regression for Natural Gas Consumption Prediction Based on Time Series Data

A Gaussian Process Regression for Natural Gas Consumption Pr...

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International Conference on Information Fusion

作者： Oussama Laib Mohamed Tarek Khadir Lyudmila Mihaylova Dep. of Computer Science University of Badji Mokhtar Annaba (UBMA) Annaba Algeria Dep. of Automatic Control and Systems Engineering (ACSE) University of Sheffield Sheffield UK

For several economical, financial and operational reasons, forecasting energy demand becomes a key instrument in energy system management. This paper develops a natural gas forecasting approach, which consists of two major phases: 1) it classifies the natural gas consumption daily pattern sequences into different groups with similar attributes. 2) the design and training of multiple autoregressive Gaussian Process models phase is carried out using the Algerian natural gas market data together with exogenous inputs consisting in weather (temperature) and calendar (day of the week, hour indicator) factors. The main novelty in this work consists of the investigation of multiple different clustering techniques for better analysis and clustering of natural gas consumption data. The impact of the obtained clusters, by each technique, is then summarized and evaluated with respect to the prediction accuracy.

关键词： Natural gas Forecasting Gaussian processes Load modeling Predictive models Clustering methods Kernel

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Extended Approach for Modelling and simulation of Mechatronics Lines Served by Collaborative Mobile Robots

Extended Approach for Modelling and simulation of Mechatroni...

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International Conference on System Theory, Control, and Computing (ICSTCC)

作者： Eugenia Minca Adrian Filipescu Heneri-George Coanda Florin Dragomir Otilia Elena Dragomir Adriana Filipescu Dep. of Automation Computer Science and Elect. Engineering “Valahia” University of Targoviste Romania Dep. of Automation and Electrical Engineering “Dunărea de Jos” University of Galaţi Romania

This article proposes an extended approach to assembly/disassembly mechatronics lines (A/DML) modelling, in terms of service system typologies: autonomous mobile robots, collaborative mobile robots versus mobile robots with parallel action. The A/DML systems served by mobile robots have a specific typology and are modelled by specialized hybrid instruments belonging to Petri Nets class: Timed Petri Nets (TPN), Synchronised Hybrid Petri Nets (SHPN). For the reasons imposed by the production manufacturing management, for transporting components, are used mobile robotic platforms equipped with manipulators, which are dedicated or shared status between production manufacturing lines. The collaborative transport systems meet the specific concepts of shared resources with avoiding collisions while the parallel transport systems are subordinated of synchronized actions concepts. This paper focuses on SHPN models and off-line simulation results for the state, boundedness, viability and possible deadlock of process analysis. Task planning is used to identify synchronous events of SHPN model, the last one being useful for implementing of real-time control.

关键词： Mobile robots Collaboration Mechatronics Synchronization Automation Manipulators

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Energy management of a single grid-connected home microgrid for determining optimal supply/demand bids 5

Energy management of a single grid-connected home microgrid ...

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5th International Symposium on Environment-Friendly Energies and Applications, EFEA 2018

作者： Fouladfar, Mohammad Hossein Sumaiti, Ameena Al Fenik, Mohammed Seddik Marzband, Mousa Busawon, Krishna Pouresmaeil, Edris Science and Research of Bushehr Branch Islamic Azad University Bushehr Iran Electrical and Computer Engineering Khalifa University of Science and Technology Masdar Institute Abu Dhabi United Arab Emirates Faculty of Engineering and Environment Dep. of Maths Physics and Electrical Engineering Northumbria University Newcastle Newcastle United Kingdom Department of Electrical Engineering and Automation Aalto University Espoo Finland

ISBN: (纸本)9781538655177

As a result of socio-economic growth and paying attention to environmental aspects requirement in order to improve the reliability and achieve higher service, better power quality and increasing energy efficiency are taken more into consideration. Thus, home micro-grids (H-MG) with non-dispatchable Source and interruptible loads can be used as the primary tool to achieve the stated objectives. In order to implement the energy management system (EMS) an algorithm is presented in this paper. EMS which is based on harmony search method for multi-purpose extrapolation of a sample H-MG with renewable energy sources (RES) as well as compound resources of backup power such as micro-turbine and battery for levelling the mismatch of power or for additional power saving in case of necessary. In this paper, the harmony search (HS) for an algorithm to minimize the costs associated with sources, RLD and reduce the price of the electricity (i.e. market clearing price) with respect to the proposed price of production and supply, the price of non-interruptible loads, the optimal production of each of the existing resources in the micro grid is determined. For reliability enhancement the uncertainty is considered in using wind turbines (WT), photovoltaic (PV), load demand and market clearing price in the algorithm. The recommended algorithm system is tested on a H-MG sample. These results show the capability of the HS approach in supplying the load requested. © 2018 IEEE.

关键词： Energy management systems

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A virtual reality dance self-learning framework using Laban movement analysis

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Journal of engineering science and Technology Review 2017年第5期10卷 25-32页

作者： Sun, Guoyu Chen, Wenjuan Li, Haiyan Sun, Qingjie Kyan, Matthew Muneesawang Zhang, Pengzhou Animation School Communication University of China Beijing100024 China Dep. of Electrical Engineering and Computer Science York University TorontoONM3J 1P3 Canada Dep. of Electrical and Computer Engineering Naresuan University Phisanulok65000 Thailand

The capabilities of general motion evaluation algorithms are significantly limited in analyzing the stylistic qualities and expressions of dance movement. This study proposes a novel dance self-learning framework on the basis of the principles of Laban movement analysis (LMA) to facilitate trainees in automatically analyzing dance movements and correcting dance techniques without an expert. First, a "shape-effort" feature description model was presented in this framework to reflect the subtleties of dance movement. The evaluation of body-shape performance was obtained via open-end dynamic time warping algorithm. Next, rhythm was qualitatively assessed by curve fitting, whereas effort was measured by using standard deviation. Finally, constructive instructions were generated in this framework on basis of the assessment scores of the movement of the trainees. The framework was implemented in cave automatic virtual environment, and its effectiveness and feasibility were verified through experiments. Results demonstrate that the feature description model with 23 LMA parameters can be used in describing dance movements. Multi-mode feedback with direct instructions for the problems in question satisfies the learning habits of the trainee. The quality of the trainees' movements achieves an average of 10% overall improvement by using the framework. Body-shape performance acquires the most improvement of 18%, followed by effort. This study provides a new research method for evaluation and training of dance movements. © 2017 Eastern Macedonia and Thrace Institute of Technology.

关键词： Virtual reality

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The price of interpretability

arXiv

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arXiv 2019年

作者： Bersimas, Dimitris Jaillet, Patrick Delarue, Arthur Martin, Sebastien Sloan School of Management Massachusetts Institute of Technology CambridgeMA02139 United States Dep. of Electrical Engineering and Computer Science Massachusetts Institute of Technology CambridgeMA02139 United States Operations Research Center Massachusetts Institute of Technology CambridgeMA02139 United States

When quantitative models are used to support decision-making on complex and important topics, understanding a model's "reasoning" can increase trust in its predictions, expose hidden biases, or reduce vulnerability to adversarial attacks. However, the concept of interpretability remains loosely defined and application-specific. In this paper, we introduce a mathematical framework in which machine learning models are constructed in a sequence of interpretable steps. We show that for a variety of models, a natural choice of interpretable steps recovers standard interpretability proxies (e.g., sparsity in linear models). We then generalize these proxies to yield a parametrized family of consistent measures of model interpretability. This formal definition allows us to quantify the "price" of interpretability, i.e., the tradeoff with predictive accuracy. We demonstrate practical algorithms to apply our framework on real and synthetic datasets. Copyright © 2019, The Authors. All rights reserved.

关键词： Decision making

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Supporting the Development of Next-generation Fog Services

Supporting the Development of Next-generation Fog Services

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IEEE International Workshop on computer-Aided Modeling, Analysis, and Design of Communication Links and Networks, CAMAD

作者： Carlo Giannelli Filippo Poltronieri Cesare Stefanelli Mauro Tortonesi Dep. of Mathematics and Computer Science University of Ferrara Ferrara Italy Department of Engineering University of Ferrara Ferrara Italy

ISBN: (纸本)9781538661529

Fog Computing is a recent and compelling paradigm that proposes to run information-processing services at the edge of the network. While interesting standardization efforts are being currently pursued by many organizations, most of them focus on management and orchestration functions and primarily propose the adoption of programming models designed for Cloud applications in the Fog. Instead, Fog Computing applications would significantly benefit from innovative solutions that adopt an "acceptable lossiness" perspective and manage information processing and dissemination in a dynamic and integrated fashion. This paper presents an overview of the opportunities and challenges in Fog Computing application development, proposes an innovative holistic Software Defined Networking (SDN) approach based on an information-centric and value-based service model to support those applications, and presents an overview of the Holistic Analytics and Networking (HAN) SDN architecture that we are developing to realize this ambitious vision.

关键词： Edge computing Computational modeling Cloud computing computer architecture Task analysis Information processing Internet of Things

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