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computer science and Electronic engineering Conference (CEEC)

作者： Rana F. Ghani Sawsen A. Mahmood Yaseen Naser Jurn Laith Al-Jobouri Department of Computer Science University of Technology-Iraq Baghdad Iraq College of Education -Computer Science Dep. Al Mustansiriya University Baghdad Iraq College of Engineering University of Information Technology and Communication Baghdad Iraq School of Engineering Art Science and Technology University of Suffolk Ipswich UK

Video summarization methods produce a video abstraction that permits users to obtain an informative video frames with minimum storage space and in less time. The keyframes is significantly characterize the salient contents of the video. This paper presents a design of video summarization framework for Internet videos to provide a quick way to realize, browse and review its contents. The main objective is to determine, extract and collect the most informative frames in the acquired video to formulate a summary video related to the original video. We have suggested a suitable approach for shot boundary detection along video frames. The sudden change benchmark between successive frames has calculated based on spline curve representation of frame data points inspired by capturing the visual difference. As well as, a selection and integration of the key frames from each shot is specified through clustering the higher differences between shot frames, in order to tackle the redundant frames issue and generate the video summary. From the experimental results, the proposed video summary approach is capable of capturing an informative content of video shots and preventing redundancy frames with minimum requirements in terms of storage space.

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Modelling and control of a photovoltaic energy system with battery storage 6

Modelling and control of a photovoltaic energy system with b...

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6th International Workshop on Simulation for Energy, Sustainable Development and Environment, SESDE 2018

作者： García-Ramos, Carlos Y. González-Cava, Jose M. González, José F. Gómez Pérez, Sara González Díaz, Benjamín González Méndez-Pérez, Juan Albino Dep. of Computer Science and Systems Engineering Universidad de la Laguna. APDO. 456 La Laguna Tenerife38200 Spain Dep. of Industrial Engineering Universidad de la Laguna. APDO. 456 La Laguna Tenerife38200 Spain

ISBN: (纸本)9788885741171

This work presents a simulated study of the energy management of an energy system connected to the grid with photovoltaic generation and battery storage. The work proposes a energy management system based on fuzzy logic. It is intended to be used in the hotel industry. The objective of the proposed controller is to maximise the renewable power source but including also economic criteria in the management. The proposal was implemented in simulation considering a 5,1kW peak photovoltaic installation and a set of batteries with a capacity of 384Ah. First results obtained show that the system achieves the specifications proposed. Thus, the study evidences the potential of the proposed control algorithm and demonstrate the suitability of the use of intelligent techniques for the energy management in hotels. © 2018 DIME Università di Genova, DIMEG University of Calabria.

关键词： Fuzzy logic

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Teaching industrial automation concepts with the use of virtual/augmented reality-The IEC 61499 case 17

Teaching industrial automation concepts with the use of virt...

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17th International Conference on Information Technology Based Higher Education and Training, ITHET 2018

作者： Chrysoulas, Christos Homay, Aydin Lemac, Maria School of Engineering Computer Science and Informatics Dep. London South Bank Univeristy London United Kingdom R and D PEER Group GmbH Dresden Germany

ISBN: (纸本)9781538646236

We propose a framework for teaching complex industrial automation concepts with the help of Virtual/Augmented reality. Initially we construct the needed 3D models like conveyors belts, and liquid tanks to be used as testbed examples for the proposed approach and afterwards with the use of the appropriate engine and the Virtual Reality headset we create the enriched virtual and augmented reality use cases to support higher education students better understand complex industrial automation concepts. As this is an initial framework proposal, an extended literature review providing the needed background information on the status and progress of the Virtual and Augmented reality for educational and not only purposes is provided. The proposed system's architecture is in detail explained and use cases where the proposed approach can be used are presented. An overview of the IEC 61499 framework is also presented since it is the underlying framework for supporting the industrial automation concepts. © 2018 IEEE.

关键词： Augmented reality

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Kinect Modelling of Chest Compressions - A Feasibility Study for Chest Compression dep.h Measurement Using Digital Strategies

Kinect Modelling of Chest Compressions - A Feasibility Study...

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IEEE International Conference on Image Processing

作者： Øyvind Meinich-Bache Kjersti Engan Trygve Eftestøl Ivar Austvoll Dep. of Electrical Engineering and Computer Science University of Stavanger Norway

Quality cardiopulmonary resuscitation (CPR) increases the chances of survival from out-of-hospital cardiac arrest. CPR measurement devices with real-time feedback could assist in the provision of this. Others have proposed accelerometer-based feedback systems by using specialized cards, smartwatches or hand-held smartphones. Our group have previous proposed a system that measure chest compression (CC) rate and hands-off-time utilizing a smartphone camera with a phone-on-the-floor solution. In this paper we have investigated the possibilities of also measuring the important CPR metric CC dep.h. Solutions using smartwatches or smartphones estimate CC parameters based on the bystanders movement. However, there are no reported work on analyzing different bystanders movement during CCs. In this work, a CC modelling experiment using Microsoft Kinect is performed to measure the degree of variations in CC techniques, providing knowledge on limitations when considering digital strategies for CC dep.h measurements. Although variations between the CC techniques were discovered, the results indicate that smartphone dep.h-cameras and accelerometer-sensors could in most cases be used for CC dep.h measurement with acceptable accuracy.

关键词： Cameras Wrist Elbow Motion measurement Three-dimensional displays Accelerometers Real-time systems

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A Compact 9 GHz Microwave Imaging System

A Compact 9 GHz Microwave Imaging System

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2018 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition, iWEM 2018

作者： Peng, Kang-Chun Lin, Chiu-Chin Li, Cyuan-Fong Hung, Cheng-Yuan Hsieh, Yu-Sung Dep. of Computer and Communication Engineering National Kaohsiung Univ. of Science and Technology Kaohsiung Taiwan Opto-electronics Equipment Department Metal Industries Research Development Center Kaohsiung Taiwan

ISBN: (纸本)9781538648346

This work develops a compact 9 GHz microwave imaging system. The core of the system is a vector network analyzer (VNA) which utilizes range-correlation architecture to suppress the phase noise of the received signal. To overcome the bottleneck that conventional mixer-based phase detectors have limited phase detection range, a novel quadrature phase detection algorithm is proposed. The experimental results show that the microwave imaging system can well detect the bone image of a chicken wing. © 2018 IEEE.

关键词： Signal detection

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Recovery of meteorites using an autonomous drone and machine learning

arXiv

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arXiv 2021年

作者： Citron, Robert I. Jenniskens, Peter Watkins, Christopher Sinha, Sravanthi Shah, Amar Raissi, Chedy Devillepoix, Hadrien Albers, Jim Department of Earth and Planetary Sciences University of California Davis95616 United States SETI Institute Carl Sagan Center Mountain ViewCA94043 United States NASA Ames Research Center Moffett FieldCA94035 United States Commonwealth Scientific and Industrial Research Organisation Scientific Computing ClaytonVIC3800 Australia Holberton School of Software Engineering San FranciscoCA94111 United States Cambridge University Dep. of Engineering Computational and Biological Learning CambridgeCB2 1PZ United Kingdom Institut National de Recherche en Informatique et en Automatique France Space Science Technology Centre School of Earth and Planetary Sciences Curtin University GPO Box U1987 PerthWA6845 Australia

The recovery of freshly fallen meteorites from tracked and triangulated meteors is critical to determining their source asteroid families. However, locating meteorite fragments in strewn fields remains a challenge with very few meteorites being recovered from the meteors triangulated in past and ongoing meteor camera networks. We examined if locating meteorites can be automated using machine learning and an autonomous drone. Drones can be programmed to fly a grid search pattern and take systematic pictures of the ground over a large survey area. Those images can be analyzed using a machine learning classifier to identify meteorites in the field among many other features. Here, we describe a proof-of-concept meteorite classifier that dep.oys off-line a combination of different convolution neural networks to recognize meteorites from images taken by drones in the field. The system was implemented in a conceptual drone setup and tested in the suspected strewn field of a recent meteorite fall near Walker Lake, Nevada. © 2021, CC BY.

关键词： Meteorites

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Are My Arguments Trustworthy? Abstract Argumentation with Subjective Logic

Are My Arguments Trustworthy? Abstract Argumentation with Su...

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International Conference on Information Fusion

作者： Francesco Santini Audun Josang Maria Silvia Pini Dep. of Maths and Computer Science University of Perugia Italy Dep. of Informatics University of Oslo Norway Dep. of Information Engineering University of Padova Italy

An Abstract Argumentation Framework (AAF) is an abstract structure consisting of a set arguments, whose origin, nature, and possible internal organisation is not specified, and by a binary relation of attack on the set of arguments, whose meaning is not specified either. Subjective logic provides a standard set of logical operators, intended for use in domains containing uncertainty. In this paper, we define an extension of AAFs in which each argument and attacks is evaluated with an opinion, by revisiting the constellations approach developed for probabilistic AAFs. In this way, different agents can merge their opinions on how much arguments and attacks are "trustworthy", e.g., they do not represent fallacies or enthymemes. Finally, subjective logic operators can be used to fuse the belief of different possible worlds (i.e., a constellation of sub-graphs in the original AAF) containing different arguments and attacks.

关键词： Uncertainty Semantics Visualization Probabilistic logic Probability density function Cognition computer science

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Optimal explanations of linear models

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 Dep. of Electrical Engineering and Computer Science Massachusetts Institute of Technology CambridgeMA02139 Operations Research Center Massachusetts Institute of Technology CambridgeMA02139

When predictive models are used to support complex and important decisions, the ability to explain a model's reasoning can increase trust, expose hidden biases, and reduce vulnerability to adversarial attacks. However, attempts at interpreting models are often ad hoc and application-specific, and the concept of interpretability itself is not well-defined. We propose a general optimization framework to create explanations for linear models. Our methodology decomposes a linear model into a sequence of models of increasing complexity using coordinate updates on the coefficients. Computing this decomposition optimally is a difficult optimization problem for which we propose exact algorithms and scalable heuristics. By solving this problem, we can derive a parametrized family of interpretability metrics for linear models that generalizes typical proxies, and study the tradeoff between interpretability and predictive accuracy. Copyright © 2019, The Authors. All rights reserved.

关键词： Optimization

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Ultra-low-power wireless anchor load monitoring system based on internet of things technology

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IOP Conference Series: Materials science and engineering 2019年第1期615卷

作者： J Tong T H Lee Y Lin Dep. of Computer Science and Information Engineering Hungkuang University Taichung Taiwan Dep. of Computer Science National Taichung University Taichung Taiwan Dep. of Civil Engineering National Chung Hsing University Taichung Taiwan

Ground anchoring is a popular method to stabilize the slope. It is essential for stability evaluation to measure the tension value of anchor from installed load cell. In this paper, a wireless anchor load measuring system is proposed for continuously on-site slope stability monitoring. Each anchor load cell is connected to a MCU-based acquisition unit and become a wireless IoT end-device. This system is scalable so the sensor dep.oyment will be much more flexible than that in conventional data acquisition system. The excitation circuit, signal amplification and analog-to-digital conversion are completed by a small-size device next to the anchor so that very low-noise result can be obtained. Each measurement consumes less than 10mAs so this device can be drive only by a 55mm*70mm*40mm solar power module. Verified by almost 3-year's on-site test, it is confirmed the proposed monitoring system can continuously capture and send one measurement per minute to the cloud server without any other electric power. The experimental and on-site test results show the practicability of proposed system and its reliability of long-term measurement. It has very high application potential on real-time slope stability monitoring by collecting and analyzing the load values of all installed anchors.

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A Load Balancing Algorithm for Resource Allocation in IEEE 802.15.4e Networks

A Load Balancing Algorithm for Resource Allocation in IEEE 8...

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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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