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检索条件"主题词=Optimization algorithms"

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On structure of quasi optimal algorithm of analogue circuit designing

On structure of quasi optimal algorithm of analogue circuit ...

引用

IEEE East-West Design and Test Symposium (EWDTS)

作者： Zemliak, A. Michua, A. Markina, T. Autonomous Univ Puebla Puebla Mexico Natl Tech Univ Ukraine Kiev Ukraine

ISBN: (纸本)9781479920952;9781479920969

The methodology of designing of analog circuits, being based on applications of control theory is basis for constructing of optimum or quasi optimal algorithm of designing. By a major criterion here, allowing to exposing the necessary structure of algorithm, there is a behavior of function of Lyapunov, which was defining for the process of optimization of circuit. Characteristics of function of Lyapunov and its derivative had been analyzed for searching of optimum structure of control vector and optimal algorithm. The flow diagram of quasi optimal algorithm was built on basic of generalized methodology. The properties of this algorithm demonstrate a great acceleration of the process in comparing to traditional approach.

关键词： optimization algorithms analog circuits Structural optimization ACCELERATING(PROCESS) Flowcharts Pest Control Control Theory algorithms Function

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Visual Odometry by Multi-frame Feature Integration

Visual Odometry by Multi-frame Feature Integration

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IEEE International Conference on Computer Vision (ICCV)

作者： Badino, Hernan Yamamoto, Akihiro Kanade, Takeo Carnegie Mellon Univ Inst Robot Pittsburgh PA 15213 USA

ISBN: (纸本)9781479930227

This paper presents a novel stereo-based visual odometry approach that provides state-of-the-art results in real time, both indoors and outdoors. Our proposed method follows the procedure of computing optical flow and stereo disparity to minimize the re-projection error of tracked feature points. However, instead of following the traditional approach of performing this task using only consecutive frames, we propose a novel and computationally inexpensive technique that uses the whole history of the tracked feature points to compute the motion of the camera. In our technique, which we call multi-frame feature integration, the features measured and tracked over all past frames are integrated into a single, improved estimate. An augmented feature set, composed of the improved estimates, is added to the optimization algorithm, improving the accuracy of the computed motion and reducing ego-motion drift. Experimental results show that the proposed approach reduces pose error by up to 65% with a negligible additional computational cost of 3.8%. Furthermore, our algorithm outperforms all other known methods on the KITTI Vision Benchmark data set.

关键词： disparity feature integration feature tracking keypoint multi-frame integration optical flow stereo visual odometry Optic Flow multiframe odometry optimization algorithms DNA Integration integration

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Collaboration enhancement through tangible metaphors: application to Home Care rescheduling

Collaboration enhancement through tangible metaphors: applic...

引用

4th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)

作者： Lanzarone, Ettore Masclet, Cedric Noel, Frederic CNR IMATI I-00185 Rome Italy Univ Grenoble Alpes Ctr Natl Rech Sci G SCOP Lab Grenoble France

ISBN: (纸本)9781479915439;9781479915460

Actors involved in synchronous collaboration activities usually need to exchange information in order to make decisions. Collaboration is often expected, because of the need to discuss multiple views about the same system for negotiating the decision. Indeed, this is a complete cognitive, information and communication issue. In the home care context, a weekly plan is usually defined at the beginning of each week to schedule nurses' activities, sometime supported by an optimization algorithm. However, unexpected events may occur during the execution of the visits, which require adapting the initial plan, i.e., a daily local replanning. Modifications to the plan must be introduced in a short time, and they usually require violating some constraints which are taken into account in the weekly plan. In this case, only human brains can decide which constraints should be left aside and which ones respected. Depending on the size of the home care provider, this decision may involve several planners and, thus, this is also a collaborative issue. The original idea of this research was to propose a new interaction system to support the collaboration among planners during this negotiation phase. While developing such system, we found that new interaction models simplify the understanding of the issues, and that collaboration can be minimized for simpler issues and saved for more complex ones. In this paper, we describe the developed system and we discuss the collaboration issue for the daily replanning of home care nurses' activities.

关键词： Home Care Services manager actor Metaphor optimization algorithms Rescheduling

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Correlating GSM and 802.11 Hardware Identifiers

Correlating GSM and 802.11 Hardware Identifiers

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IEEE Military Communications Conference

作者： Martin, Jeremy Rhame, Danny Beverly, Robert McEachen, John Naval Postgrad Sch Monterey CA 93943 USA

ISBN: (纸本)9780769551241

The hardware identifiers of common wireless protocols can be exploited by adversaries for both tracking and physical device association. Rather than examining hardware identifiers in isolation, we observe that many modern devices are equipped with multiple wireless interfaces of different physical types, e. g. GSM and 802.11, suggesting that there exists utility in cross-protocol hardware identifier correlation. This research empirically examines the feasibility of such cross-protocol association, concentrating on correlating a GSM hardware identifier to that of the 802.11 hardware identifier on the same device. Our dataset includes 18 distinct mobile devices, with identifiers collected over time at disparate locations. We develop correlation techniques from the perspective of two adversaries: i) limited, able to observe identifiers only in time and space;and ii) a more advanced adversary with visibility into the data stream of each protocol. We first test correlation via temporal and spatial analysis using only basic signal collection, mimicking an RF collection with no decryption or data processing capability. Using a constrained optimization algorithm over temporal and spatial data to perform matching, we demonstrate increasing association accuracy over time, up to approximate to 80% in our experiments. Our second approach simulates the added capability to collect, decrypt, and reconstruct specific application protocol data, and parses the data of one protocol using search terms derived from the other. With the combined techniques, we achieve 100% accuracy and precision.

关键词： Global mobile communication-systems wireless phone Computer hardware radio interface signal collection protocols optimization algorithms Decryption search terms spatial data Spatial Analysis

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Decentralized decision-making on robotic networks with hybrid performance metrics

Decentralized decision-making on robotic networks with hybri...

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51st IEEE Annual Allerton Conference on Communication, Control, and Computing

作者： Rossi, Federico Pavone, Marco Stanford Univ Dept Aeronaut & Astronaut Stanford CA 94305 USA

ISBN: (纸本)9781479934096

The past decade has witnessed a rapidly growing interest in decentralized algorithms for collective decision-making in cyber-physical networks. For a large variety of settings, control strategies are now known that either minimize time complexity (i.e., convergence time) or optimize communication complexity (i.e., number and size of exchanged messages). Yet, little attention has beed paid to the problem of studying the inherent trade-off between time and communication complexity. Generally speaking, time-optimal algorithms are fast and robust, but require a large (and sometimes impractical) number of exchanged messages;in contrast, communication optimal algorithms minimize the amount of information routed through the network, but are slow and sensitive to link failures. In this paper we address this gap by focusing on a generalized version of the decentralized consensus problem (that includes voting and mediation) on undirected network topologies and in the presence of "infrequent" link failures. We present and rigorously analyze a tunable, semi-hierarchical algorithm, where the tuning parameter allows a graceful transition from time-optimal to communication-optimal performance (hence, allowing hybrid performance metrics), and determines the algorithm's robustness, measured as the time required to recover from a failure. An interesting feature of our algorithm is that it leads the decision-making agents to self-organize into a semi-hierarchical structure with variable-size clusters, among which information is flooded. Our results make use of a novel connection between the consensus problem and the theory of gamma synchronizers. Simulation experiments are presented and discussed.

关键词： communication complexity Decentralized Performance metrics optimization algorithms Network topology algorithms Vote complexity classes Mediation

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An emerging complex network approach for grid analysis

An emerging complex network approach for grid analysis

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IEEE International Symposium on Industrial Electronics (ISIE)

作者： Fenu, Gianni Nitti, Marco Univ Cagliari Dept Comp Sci Cagliari Italy

ISBN: (纸本)9781467351942;9781467351928

The evolution of traditional power grids into smart grids is becoming a crucial challenge in recent years. Resources we mostly depend upon, such as oil and coal, are not going to last forever. Even renewable energies, always considered part of the solution, are not integrated enough to significantly contribute to the normal daily production. The concept of a new grid, designed to constantly monitor demand/supply of the system and able to send energy only where and when it is actually needed, has to be developed in order to overcome all the lacks and waste that affect the current systems. However, the transformation process needed to achieve this future vision is slow, difficult and several issues must be solved. In this paper, we use the model of our regional power grid to test how it works and to spot any potential weaknesses. We perform some complex network analysis on the entire grid in order to classify it and calculate betweenness on single nodes to spot the hubs. Using an optimization algorithm we also analyse the grid behaviour under harsh conditions and the influence of renewables in our system.

关键词： grid analysis Power grids Renewable energy complex networks optimization algorithms Smart grids HUB Network analysis Spot Spots spot fish Coal grids Grid

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Multistep Direct Model Predictive Control for Power Electronics-Part 2: Analysis

Multistep Direct Model Predictive Control for Power Electron...

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IEEE Energy Conversion Congress and Exposition (ECCE)

作者： Geyer, Tobias Quevedo, Daniel E. ABB Corp Res Baden Switzerland Univ Newcastle Callaghan NSW 2308 Australia

ISBN: (纸本)9781479903368

The performance of direct model predictive control (MPC) with reference tracking and long prediction horizons is evaluated, using the current control problem of a variable speed drive system with a voltage source inverter as an illustrative example. A modified sphere decoding algorithm allows one to efficiently solve the optimization problem underlying MPC also for long horizons. For a horizon of five and a three-level inverter, for example, the computational burden is reduced by four orders of magnitude, compared to the standard exhaustive search approach. This work illustrates the performance gains that are achievable by using prediction horizons larger than one. Specifically, for long prediction horizons and a low switching frequency, the total harmonic distortion of the current is significantly lower than for space vector modulation, making direct MPC with long horizons an attractive and computationally viable control scheme.

关键词： voltage source converter Model predictive control Predictive control voltage level optimization algorithms algorithms drive train Power electronics Adjustable Speed Drive System Converters output level Mentoring

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Ranking of Direct Trust, Confidence, and Reputation in an Abstract System with Unreliable Components

Ranking of Direct Trust, Confidence, and Reputation in an Ab...

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IEEE 10th International Conference on Ubiquitous Intelligence and Computing (UIC) / IEEE 10th International Conference on Autonomic and Trusted Computing (ATC)

作者： Kiethaber, Rolf Jahr, Ralf Msadek, Nizar Ungerer, Theo Univ Augsburg Inst Comp Sci Augsburg Germany

ISBN: (纸本)9781479924813

Trust is an important aspect in human societies. It enables cooperation and provides means to estimate potential cooperation partners. Several works have addressed how the concept of trust can be transferred to computer systems. In this paper, we present an approach to calculate trust, including direct trust, confidence, and reputation, in a network consisting of agents with changing behavior. Our metrics are highly configurable for an adaption to a wide variety of systems and situations, especially Organic Computing Systems can benefit from trust by integrating it in their algorithms implementing self-organizational behavior. We evaluate the effect of direct trust and confidence together with reputation (DTCR) in comparison with using only direct trust (DT) or direct trust with confidence (DTC). Because these metrics can be configured with many parameters leading to an immense number of possible configurations we apply a heuristic optimization algorithm to find very good setups showing the highest benefits. For this evaluation, an abstract scenario is developed and applied;it consists of unreliable components from different classes of defined mean behavior. This general scenario could model many possible industrial settings out of which a few are introduced, too. Our evaluations show that reputation and direct trust are best used together with a fluent transition between them defined by the confidence. In all cases, reputation works as a corrective when direct trust information is not optimal and potentially misleading. This leads to very good results with very limited variance;particularly we show that a small number of interactions are sufficient to obtain the best results.

关键词： Trust automatic design space exploration confidence multi-agent system particle swarm optimization reputation Trust Reputation Nonprofit Organizations trust confidence Multi-agent systems Particle swarm optimization optimization algorithms Metronidazole

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Time-resolved reconstruction of scene reflectance hidden by a diffuser

Time-resolved reconstruction of scene reflectance hidden by ...

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Conference on Lasers and Electro-Optics (CLEO)

作者： Naik, Nikhil Barsi, Christopher Velten, Andreas Raskar, Ramesh MIT Media Lab Cambridge MA 02139 USA

We use time-of-flight information in an iterative optimization algorithm to recover reflectance properties of a three-dimensional scene hidden behind a diffuser. We demonstrate reconstruction of wide-field images with... 详细信息

ISBN: (纸本)9781557529732

关键词： optimization algorithms Diffusers FLIGHT INFORMATION Reconstructive Surgical Procedures Time resolved Reflectance Reconstructions TIME OF FLIGHT

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JOINT MAINTENANCE AND PRODUCTION PLANNING BY MAINTENANCE-OPTIMAL SWAPPING

JOINT MAINTENANCE AND PRODUCTION PLANNING BY MAINTENANCE-OPT...

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8th International Manufacturing Science and Engineering Conference

作者： Almuhtady, Ahmad Lee, Seungchul Ni, Jun Univ Michigan Ann Arbor MI 48109 USA

ISBN: (纸本)9780791855461

Degradation is an inevitable course of any manufacturing tool, machine or system. The degradation of the health state of manufacturing tools results in some sort of an ineludible maintenance action which could be both costly and occurring during critical production time. In many manufacturing systems, a fleet of identical machines are assigned different tasks (or products) towards satisfying production requirements. We re-introduce the maintenance-optimal resource allocation planning scheme [1] (presented in MSEC2012) and focus on the solution of the generated mathematical model. The planning scheme, denoted as Degradation Based Optimal Swapping (DBOS), incorporates the optimal implementation of swapping scheduled tasks (or products) and allocating maintenance actions throughout a finite time horizon. The objective is to minimize projected maintenance costs and/or utilize the manufacturing productivity towards prescribed logistics and/or production goals. A DBOS-specific branch-and-bound-based optimization algorithm is developed to address the complexity in the generated model. Numerical results will demonstrate the effectiveness of the algorithm in comparison to standard optimization algorithms. DBOS planning scheme coupled with the proposed algorithm succeeds in establishing substantial savings in the simulated case studies which amount up to 70% of the estimated maintenance costs in comparison to the scenario where fixed scheduling is applied.

关键词： Machinery Logistics Manufacturing tools Manufacturing systems algorithms Production planning Maintenance optimization algorithms Resource allocation Manufacturing

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