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IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW 2015)

作者： Chanyagom, Pomchai Kiratiwudhikul, Phattaradanai Mahidol Univ Dept Elect Engn Salaya 73170 Nakhon Pathom Thailand

ISBN: (纸本)9781479987450

Pre-term infants often suffered from immature lung development, which caused oxygen saturation (SpO(2)) to be fewer than 90% (98-100% for normal infants). Oxygen therapy was an essential treatment supply right proportional air-oxygen gas content called a fractional of inspired oxygen (FiO(2)) via nasal cannula to control SpO(2) in a range of 90-95% and to maintain life. Registered nurses (RN) were routinely responsible for adjusting FiO(2) between 21-100% according to a current SpO(2) and a doctor's order. The objective was to supply FiO(2) as low as possible while maintaining SpO(2) in a suitable range. However, manual adjustments were not in real time (normal every 20-30 minutes) which could introduce risk of either oxygen toxicity from too high SpO(2) or hypoxia from too low SpO(2). This research was to develop an automatically control of FiO(2) according to an order SpO(2) by medical doctors. The result of this research could reduce risk of blindness from oxygen toxicity as well as mortality from hypoxia in pre-term infants. The system also allowed medical doctors to use recorded data for future care plan in oxygen therapy. This research introduced two different algorithms for such purposes and described a design of such system.

关键词： gas mixture Premature Infant oxygen toxicity computer algorithms Hypoxia Oxygen Inhalation Therapy Blindness Patient Care Planning Infant Otolaryngologists Lung Development term infant GAS CONTENT

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An Adaptive Control Algorithm for Wind Power Dispatch Using a Battery Energy Storage System

An Adaptive Control Algorithm for Wind Power Dispatch Using ...

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IEEE Conference on Control and Applications (CCA)

作者： Khalid, Muhammad Savkin, Andrey V. Agelidis, Vassilios G. Univ New S Wales Sch Elect Engn & Telecommun Sydney NSW 2052 Australia

ISBN: (纸本)9781479977871

This paper presents an adaptive wind power selling strategy to increase the income for grid-connected wind power plant attached with a battery energy storage system (BESS). The proposed selling strategy is primarily based on time varying price thresholds that are varied by our proposed adaptive algorithm. Since electricity market prices and wind power vary throughout the day, the idea is to store energy during low price-periods and sell it when prices are high. The wind farm operator could take advantage of the price variability in order to generate an extra income by choosing the best price thresholds in an adaptive manner. Twofold benefits of the proposed strategy lie in efficient energy selling along with the constraint-based efficient operation of BESS. The strategy has been analyzed for a variety of BESSs with a wide range of its energy and power capacities, and income improvement over a trivial strategy is calculated. Simulation results depict the effectiveness of the proposed strategy validated with real-world wind farm data and electricity market prices.

关键词： adaptive control battery storage plants power grids power markets time-varying systems wind power plants BESS adaptive control algorithm adaptive wind power selling strategy battery energy storage system electricity market prices grid-connected wind power plant time varying price thresholds wind power dispatch Batteries Electricity supply industry Renewable energy sources Wind farms Wind power generation battery energy storage system Wind farms Wind power plants power markets electricity supply industry Power grids adaptive control time-varying systems Wind energy generation Renewable energy renewable energy sources Batteries computer algorithms Prices Wind energy

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Towards Optical Wireless Communications between Micro Unmanned Aerial and Ground Systems

Towards Optical Wireless Communications between Micro Unmann...

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International Conference on Unmanned Aircraft Systems (ICUAS)

作者： Cruz, Patricio J. Fierro, Rafael Univ New Mexico Dept Elect & Comp Engn Albuquerque NM 87131 USA

ISBN: (纸本)9781479960101

A group of unmanned vehicles can provide essential support to human task forces in a variety of missions, like in search and rescue operations. A crucial factor for task coordination is to maintain a reliable connectivity among the autonomous platforms. Radio-frequency is the common technology adopted for unmanned systems to operate wirelessly. However, this technology has some limitations that can be mitigated by complementing it with optical wireless communications. In this paper, we propose the implementation of an optical wireless link between micro-scale unmanned systems: an aerial vehicle and a ground mobile robot. We describe a line-of-sight directed optical link between these platforms where the flying vehicle carries an optical transmitter while the mobile ground robot is equipped with an optical receiver. This light-based communication link requires to keep an adequate relative transmitter-receiver position to enhance the transmission rate. Therefore, we define a connectivity cone on top of the receiver such that if the transmitter stays inside of this cone a minimum bit rate can be guaranteed. Also, we propose a control algorithm for the aerial transmitter to get and stay within the connectivity cone. The performance of the control algorithm is demonstrated through numerical simulations.

关键词： computer algorithms CARRIER SYSTEM Optical wireless unmanned systems task coordinate Optical transmitters Optical links Communication Research Telecommunication links Rescue Mobile robots ANTENNA Platform

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Internet Congestion Control 1

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丛书名： computer Science

2015年

作者： Subir Varma

ISBN: (数字)9780128036006;0128036001

ISBN: (纸本)9780128035832

Internet Congestion Control provides a description of some of the most important topics in the area of congestion control in computer networks, with special emphasis on the analytical modeling of congestion control algorithms. The field of congestion control has seen many notable advances in recent years and the purpose of this book, which is targeted towards the advanced and intermediate reader, is to inform about the most important developments in this area. The book should enable the reader to gain a good understanding of the application of congestion control theory to a number of application domains such as Data Center Networks, Video Streaming, High Speed Links and Broadband Wireless Networks. When seen through the lens of analytical modeling, there are a number of common threads that run through the design and analysis of congestion control protocols in all these different areas, which are emphasized in this book. The book also cuts a path through the profusion of algorithms in the literature, and puts the topic on a systematic and logical footing. Internet Congestion Control provides practicing network engineers and researchers with a comprehensive and accessible coverage of analytical models of congestion control algorithms, and gives readers everything needed to understand the latest developments and research in this area.

关键词： Internet TCP/IP (computer network protocol) computer algorithms

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Optimal Planning for Target Localization and Coverage Using Range Sensing 11

Optimal Planning for Target Localization and Coverage Using ...

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IEEE International Conference on Automation Science and Engineering (CASE)

作者： Miller, Lauren M. Murphey, Todd D. Northwestern Univ Dept Mech Engn RR McCormick Sch Engn & Appl Sci Evanston IL 60208 USA

ISBN: (纸本)9781467381833

This paper presents an algorithm for autonomously calculating active sensing strategies applied to range sensing. The receding-horizon algorithm we use, called Ergodic Exploration of Distributed Information (EEDI), involves two major components: a) calculation of an expected information density map over the search space based on prior information and a model of the sensor, and b) ergodic trajectory optimization over the sensor configuration space with respect to that information map. The ergodic control algorithm does not rely on discretization of the search or action spaces, and is well-posed for coverage with respect to the expected information density whether the information is diffuse or localized. We simulate successful localization and discrimination of targets in a two-dimensional workspace using a fixed-location range sensor under various noise levels, and compare performance to an information maximizing strategy.

关键词： Coverage Noise levels Targets computer algorithms Sensors Discretization range sensor

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A Distributed Deployment Algorithm for Mobile Robotic Agents with Limited Sensing/Communication Ranges

A Distributed Deployment Algorithm for Mobile Robotic Agents...

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IEEE INTERNATIONAL CONFERENCE ON ELECTRO/INFORMATION TECHNOLOGY (EIT)

作者： Wang, Jing Smith, Christopher Staskevich, Gennady Abbe, Brian Bradley Univ Fac Elect & Comp Engn Peoria IL 61625 USA Bradley Univ Dept Elect & Comp Engn Peoria IL 61625 USA AFRL RISC Rome NY 13441 USA

ISBN: (纸本)9781479988020

In this paper, we propose a distributed deployment algorithm for a group of mobile robots to cover a convex region. The individual mobile robot considered has kinematic constraints, and may only exchange information locally with its neighboring counterparts due to its limited sensing/communication range. The proposed deployment algorithm iteratively updates the Voronoi partition through local information exchange, and then moves toward its centroid based on centroid-drive control algorithms. Particularly, in addition to gradient-based centroid-drive control algorithm in which input-output linearization has been applied to robot model, a new algorithm based on distributed consensus is proposed to directly address the kinematic constraint associated with robot model. Simulation results are provided to illustrate the effectiveness of the proposed algorithm.

关键词： deployment Mobile robots computer algorithms Distribute information exchange Centroid algorithms Mobile agents kinematics Robot

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Attitude Coordination Strategies in Satellite Constellations and Formation Flying

Attitude Coordination Strategies in Satellite Constellations...

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IEEE Aerospace Conference

作者： Felicetti, Leonard Palmerini, Giovanni B. Sapienza Univ Roma DIAEE Via Salaria 851 I-00138 Rome Italy

ISBN: (纸本)9781479953806

The coordination of the attitude among different spacecraft belonging to a multiple platform system (formation or constellation) is a basic requirement in several missions, mainly the ones involving sensors like radars or optical interferometers. It is also an open topic in research, above all as it matches the characteristics of the current trend towards interoperability and federated systems. Different approaches are possible to define and chase such a coordinated attitude. The classic control strategy is the so-called leader-follower architecture, where all spacecraft depend on ("follow") the behavior of a single master. Alternatively, the behavioral approach involves a continuous re-selection of the desired target configuration which is computed on the basis of the behavior of all the platforms. A third possibility is to define a "virtual" architecture, especially suitable with respect to the mission requirements, which is not dependent on the current kinematic state of the platforms. The paper proposes a unified treatment of these concepts by using some fundamental definitions of the consensus dynamics and cooperative control. The convergence to the targeted configuration is addressed both analytically, by using Lyapunov stability criteria, and numerically, by means of numerical simulations. The attitude requirements and constraints are highlighted and a solution for the control algorithm - involving continuous actuators on each platform is developed. A comparative analysis of different optimal control strategies, the Linear Quadratic Regulation (LQR) and the State Dependent Riccati Equation (SDRE) - suitably modified to address the needs of coordination - is presented. The results show the general value of the proposed approach with respect to either linear or nonlinear models of the dynamics.

关键词： satellite constellations Formation flight Attitude target configurations computer algorithms Optical Interferometers Platform Spacecraft control strategy radar Nonlinear Models CONSTELLATIONS

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Seeing into hearts and minds Part 2. 'Big data', algorithms, and computational counterinsurgency

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ANTHROPOLOGY TODAY 2015年第4期31卷 13-18页

作者： Gonzalez, Roberto J. San Jose State Univ Anthropol San Jose CA 95192 USA

In this second of his two-part article, the author analyzes the rise of ‘predictive policing’ and its Pentagon connections, reviews two programmes, and poses these in the context of scientists'... 详细信息

关键词： BIG data COUNTERINSURGENCY computer algorithms ARTIFICIAL intelligence

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Low Complexity Room Thermal Models for Energy Optimization in Industrial Buildings 20

Low Complexity Room Thermal Models for Energy Optimization i...

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20th IEEE Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Nagy, Anetta Sauter, Thilo Danube Univ Krems Ctr Integrated Sensor Syst Viktor Kaplan Str 2 A-2700 Wr Neustadt Austria

ISBN: (纸本)9781467379298

The prime goal in automation systems is to increase productivity while at the same time save production costs. Nevertheless, in recent years there is increasing concern about the ecological footprint of production systems and a growing demand for energy optimization. Heating, ventilating and air conditioning (HVAC) systems in large industrial buildings consume a substantial amount of energy and typically run independently of the actual production processes. Integrating the two systems, however, can be beneficial in terms of overall energy optimization. This paper proposes a modular modelling of the building thermal load with the aim of connecting this model with the typical architecture of Manufacturing Execution Systems (MES). As the building automation system is distributed, the idea is to bind it with a set of generic cells that encapsulate a thermal model of the physical surrounding as well. With this approach the cell thermal load behaviour can be predicted for energy optimization. To allow implementation on the existing embedded devices and controllers with limited computational resources, a reduced complexity model is developed. As the model is to be used for model predictive control (MPC), also the first steps towards the development of the control algorithm are introduced and the benefits compared to traditional approaches are shown.

关键词： Industrial buildings energy capacity automation system Building automation systems computer algorithms High Voltage Alternating Current Systems Thermal loading Ecological footprint Energy sources Production Processes thermal model Production systems

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Displacement-based Formation Tracking Control of Multi-agent with Size Scaling 5

Displacement-based Formation Tracking Control of Multi-agent...

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5th Australian Control Conference (AUCC)

作者： Wu, Z. Sun, J. Wang, X. Nanjing Univ Sci & Technol Sch Automat Nanjing Jiangsu Peoples R China

ISBN: (纸本)9781467395526

In this paper, we propose a formation control algorithm for multi-agent systems to achieve prospected formation shape and track reference trajectory. We assume the description of formation and reference velocity is known to all agents. For second-order dynamics, we present a strategy that allows all agents to maneuver to desired scaled formation during tacking leader's movements. Finally, simulation results show that the proposed displacement-based formation tracking strategies are effective.

关键词： computer algorithms reference velocity tracking control Agents Multi-agent systems Scale formation tack Simulation results

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