Conferences related to Optimal scheduling

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ICC 2021 - IEEE International Conference on Communications

IEEE ICC is one of the two flagship IEEE conferences in the field of communications; Montreal is to host this conference in 2021. Each annual IEEE ICC conference typically attracts approximately 1,500-2,000 attendees, and will present over 1,000 research works over its duration. As well as being an opportunity to share pioneering research ideas and developments, the conference is also an excellent networking and publicity event, giving the opportunity for businesses and clients to link together, and presenting the scope for companies to publicize themselves and their products among the leaders of communications industries from all over the world.


2020 59th IEEE Conference on Decision and Control (CDC)

The CDC is the premier conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.


2020 American Control Conference (ACC)

The ACC is the annual conference of the American Automatic Control Council (AACC, the U.S. national member organization of the International Federation for Automatic Control (IFAC)). The ACC is internationally recognized as a premier scientific and engineering conference dedicated to the advancement of control theory and practice. The ACC brings together an international community of researchers and practitioners to discuss the latest findings in automatic control. The 2020 ACC technical program will

  • 2019 American Control Conference (ACC)

    Technical topics include biological systems, vehicle dynamics and control, adaptive control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2018 Annual American Control Conference (ACC)

    Technical topics include biological systems, vehicle dynamics and control, adaptive control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2017 American Control Conference (ACC)

    Technical topics include biological systems, vehicle dynamics and control, adaptive control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2016 American Control Conference (ACC)

    Control systems theory and practice. Conference topics include biological systems, vehicle dynamics and control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2015 American Control Conference (ACC)

    control theory, technology, and practice

  • 2014 American Control Conference - ACC 2014

    All areas of the theory and practice of automatic control, including but not limited to network control systems, model predictive control, systems analysis in biology and medicine, hybrid and switched systems, aerospace systems, power and energy systems and control of nano- and micro-systems.

  • 2013 American Control Conference (ACC)

    Control systems theory and practice. Conference themes on sustainability, societal challenges for control, smart healthcare systems. Conference topics include biological systems, vehicle dynamics and control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2012 American Control Conference - ACC 2012

    All areas of control engineering and science.

  • 2011 American Control Conference - ACC 2011

    ACC provides a forum for bringing industry and academia together to discuss the latest developments in the area of Automatic Control Systems, from new control theories, to the advances in sensors and actuator technologies, and to new applications areas for automation.

  • 2010 American Control Conference - ACC 2010

    Theory and practice of automatic control

  • 2009 American Control Conference - ACC 2009

    The 2009 ACC technical program will cover new developments related to theory, application, and education in control science and engineering. In addition to regular technical sessions the program will also feature interactive and tutorial sessions and preconference workshops.

  • 2008 American Control Conference - ACC 2008

  • 2007 American Control Conference - ACC 2007

  • 2006 American Control Conference - ACC 2006 (Silver Anniversary)

  • 2005 American Control Conference - ACC 2005

  • 2004 American Control Conference - ACC 2004

  • 2003 American Control Conference - ACC 2003

  • 2002 American Control Conference - ACC 2002

  • 2001 American Control Conference - ACC 2001

  • 2000 American Control Conference - ACC 2000

  • 1999 American Control Conference - ACC '99

  • 1998 American Control Conference - ACC '98

  • 1997 American Control Conference - ACC '97

  • 1996 13th Triennial World Congress of the International Federation of Automatic Control (IFAC)


2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)

All topics related to engineering and technology management, including applicable analytical methods and economical/social/human issues to be considered in making engineering decisions.


2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.


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Periodicals related to Optimal scheduling

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Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Automation Science and Engineering, IEEE Transactions on

The IEEE Transactions on Automation Sciences and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. We welcome results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, ...


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Broadcasting, IEEE Transactions on

Broadcast technology, including devices, equipment, techniques, and systems related to broadcast technology, including the production, distribution, transmission, and propagation aspects.


Communications Surveys & Tutorials, IEEE

Each tutorial reviews currents communications topics in network management and computer and wireless communications. Available tutorials, which are 2.5 to 5 hours in length contains the original visuals and voice-over by the presenter. IEEE Communications Surveys & Tutorials features two distinct types of articles: original articles and reprints. The original articles are exclusively written for IEEE Communications Surveys & Tutorials ...


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Most published Xplore authors for Optimal scheduling

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Xplore Articles related to Optimal scheduling

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Network Coded Rate Scheduling for Two-way Relay Networks

17th European Wireless 2011 - Sustainable Wireless Technologies, 2011

We investigate a scheduling scheme incorporating network coding and channel varying information for the twoway relay networks. Our scheduler aims at minimizing the time span needed to send all the data of each source of the network. We consider three channel models, time invariant channels, time varying channels with finite states and time varying Rayleigh fading channels. We formulate the ...


Distributed Cooperative Precoding in Cellular Systems

IEEE Communications Letters, 2014

We consider the problem of cooperative precoder selection for interference management in a broadband cellular wireless system. The problem is posed as a sum-rate maximization problem and a solution employing distributed scheduling and precoder selection is proposed. The solution is then shown to be optimal under certain asymptotic conditions. This is also verified using system simulations.


Optimization Scheduling for Optical Burst Switching Networks with Wavelength Conversion

2006 International Conference on Communication Technology, 2006

Optical Burst Switching (OBS) is a promising solution for the future Internet backbone. In OBS network a key issue is data channel scheduling. In this paper we propose a channel scheduling scheme to optimize channel utilization for OBS networks with wavelength conversion. The channel scheduling problem is mapped to a problem of finding k-colorable subgraph of weight interval graph. The ...


Latency Analyses of CC-NUMA and CC-COMA Rings

1994 International Conference on Parallel Processing Vol. 1, 1994

This paper focuses comparative performance modeling and evaluation of CC-NUMA and CC-COMA on a hierarchical ring shared-memory architecture. Intensive performance measurements of the two models have been conducted on the KSR-1. The experimental results support the analytical models, and present practical observations and comparisons of the two cache coherence memory systems. Our analytical and experimental results show that a CC-COMA ...


Optimal architectures for massively parallel implementation of hard real-time beamformers

Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284), 1998

This paper reports an experimental analysis of real-time computational architectures applied to digital time delay beamformation. The goal of this research has been to identify the most efficient multiprocessor utilization for a prototypical beamformer by modeling the signal processing and applying selected multiprocessor scheduling algorithms. A synchronous dataflow (SDF) domain model was used to implement the most computationally intense core ...


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Educational Resources on Optimal scheduling

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IEEE.tv Videos

ITEC 2014: Moving Toward an Optimal Electrified Propulsion Unit: A Multi-Physics Approach
Towards Higher Scalability of Quantum Hardware Emulation - Naveed Mahmud - ICRC 2018
Optimal Design of NPC and Active-NPC Transformerless PV Inverters
Quadrotor Trajectory Tracking with L1 Optimal control
Fuzzy Dynamic Programming: A Step Towards Cognitive Dynamic Programming
Micro-Apps 2013: Advances in Load Pull Simulation
IROS TV 2019- How to Build a Robot: Vision Based Estimation of Driving Energy for Planetary Rovers
Achieving Balance Between Convergence and Diversity in Evolutionary Multi-Objective Optimization - Ke Li
Genetic Programming Hyper-heuristics for Combinatorial Optimisation: Yi Mei CIS Webinar
Some Recent Work in Computational Intelligence for Software Engineering
2013 IEEE Medal in Power Engineering
The Fundamentals of Battery Charger Design
Challenging the stigma surrounding the role of women in technology, a journey from combinatorial optimization to IBM
IEEE Themes - Efficient networking services underpin social networks
High Frequency Magnetic Circuit Design for Power Electronics
A High-Efficiency Linear Power Amplifier for 28GHz Mobile Communications in 40nm CMOS: RFIC Interactive Forum 2017
HKN Member Hermann W. Dommel Receives an Award at the 2014 EAB Award Ceremony
Noise-Shaped Active SAR Analog-to-Digital Converter - IEEE Circuits and Systems Society (CAS) Distinguished Lecture
Tutorial: Model Predictive Control of Power Electronic Converters, Part One, Jose Rodriguez - IECON 2018
Said Tabet: IoT Moving Forward - IoT Challenges Industry Forum Panel: WF IoT 2016

IEEE-USA E-Books

  • Network Coded Rate Scheduling for Two-way Relay Networks

    We investigate a scheduling scheme incorporating network coding and channel varying information for the twoway relay networks. Our scheduler aims at minimizing the time span needed to send all the data of each source of the network. We consider three channel models, time invariant channels, time varying channels with finite states and time varying Rayleigh fading channels. We formulate the problem into a manageable optimization problem, and get a closed form scheduler under time invariant channels and time varying channel with finite channel states. For Rayleigh fading channels, we focus on the relay node operation and propose heuristic power allocation algorithm resemblant to water filling algorithm. By simulations, we find that even if the channel fluctuates randomly, the average time span is minimized when the relay node transmits/schedules network coded data as much as possible.

  • Distributed Cooperative Precoding in Cellular Systems

    We consider the problem of cooperative precoder selection for interference management in a broadband cellular wireless system. The problem is posed as a sum-rate maximization problem and a solution employing distributed scheduling and precoder selection is proposed. The solution is then shown to be optimal under certain asymptotic conditions. This is also verified using system simulations.

  • Optimization Scheduling for Optical Burst Switching Networks with Wavelength Conversion

    Optical Burst Switching (OBS) is a promising solution for the future Internet backbone. In OBS network a key issue is data channel scheduling. In this paper we propose a channel scheduling scheme to optimize channel utilization for OBS networks with wavelength conversion. The channel scheduling problem is mapped to a problem of finding k-colorable subgraph of weight interval graph. The problem is formulated as an integer linear programming problem, which is solvable in polynomial time. Simulation results show that both channel utilization and bit loss probability performance improve compared with existing scheduling schemes.

  • Latency Analyses of CC-NUMA and CC-COMA Rings

    This paper focuses comparative performance modeling and evaluation of CC-NUMA and CC-COMA on a hierarchical ring shared-memory architecture. Intensive performance measurements of the two models have been conducted on the KSR-1. The experimental results support the analytical models, and present practical observations and comparisons of the two cache coherence memory systems. Our analytical and experimental results show that a CC-COMA system balances the work load well. However the overhead of frequent data movement may match the gains obtained from improving load balance. Although a CC-NUMA system may not automatically balance the load at the system level, it provides an option for a user to explicitly handle data locality for a possible performance improvement.

  • Optimal architectures for massively parallel implementation of hard real-time beamformers

    This paper reports an experimental analysis of real-time computational architectures applied to digital time delay beamformation. The goal of this research has been to identify the most efficient multiprocessor utilization for a prototypical beamformer by modeling the signal processing and applying selected multiprocessor scheduling algorithms. A synchronous dataflow (SDF) domain model was used to implement the most computationally intense core of the beamformer in Ptolemy. In order to evaluate multiprocessor scheduling performance, four automated scheduling strategies were applied: declustering, a classical list scheduler, dynamic-level scheduler, and a hierarchical scheduler. A manual heuristic schedule was also postulated and evaluated. Several key metrics were applied in judging optimality. It is demonstrated that the hierarchical scheduler holds measurable advantage over the other algorithms considered including the manual method. An analysis of the underlying performance drivers is given.

  • A Method for Satisfying Asynchronous and Periodic Timing Requirements in Real-Time Embedded Systems

    A method for satisfying asynchronous and periodic timing requirements in real- time embedded systems is presented. A guiding principle for this method is that it should exploit to a maximum extent any knowledge about system processes' characteristics that is available both before run-time and during run-time. The method consists of two phases: a pre-run-time phase and a run- time phase. In the pre-run-time phase, some of the asynchronous processes will be converted into new periodic processes while processor capacity will be reserved for all the remaining asynchronous processes. With the use of an optimal scheduling algorithm, the schedulability of the set of the new and original periodic processes will be determined, while the schedulability of all the asynchronous processes will be verified by checking their worst-case response times. In the run-time phase, asynchronous processes are scheduled for execution while guaranteeing that all the processes that have already been scheduled in the pre-run-time phase will always meet their deadlines.

  • Optimizing the time cost of the parallel structures with a limited number of processors

    We develop an allocation algorithm that, in conjunction with optimal scheduling algorithms, yields the minimum time cost for a parallel structure. We assume a shared memory environment and a limited number of processors that is less than the degree of parallelism of the parallel structure.<<ETX>>

  • Dominance property based tabu search for single machine scheduling problems with family setups

    The problem of minimizing the maximum lateness on a single machine with family setups is considered. To solve the problem, dominance property is studied and then introduced into the tabu search (TS) algorithm. With the dominance property, most unpromising neighbors can be excluded from the neighborhood, which makes the search process always focus on the most promising areas of the solution space. The proposed algorithms are tested both on the randomly generated problems and on the real-life problems. Computational results show that the proposed TS algorithm outperforms the best existing algorithm and can solve the real-life problems in about 1.3 on average.

  • Towards optimal I/O scheduling for MEMS-based storage

    MEMS-based storage devices are currently being developed to narrow the gap between processor and disk speeds. MEMS-based storage devices have a different architecture from disk devices, thus algorithms, such as I/O scheduling and data placement, designed for disks need to be revisited. In this paper we focus on developing an I/O scheduling algorithm for MEMS-based storage devices. Our theoretical analysis shows that this algorithm is guaranteed to perform within twice the optimal time for any workload.

  • Using a cost-reconstruction tool to analyze historical system operation

    The authors describe the software tools that are currently used at Southern Company Services, Inc. (SCS) to perform postanalysis and present two case studies to illustrate the use of the tools in the day-to-day operating environment. This postanalysis practice has proved to be very effective in enhancing the cost awareness among system dispatchers and sharpening their intuitive knowledge about overall system economics. By running postanalysis on a daily basis, SCS observed a number of concrete benefits: (1) with postanalysis, dispatchers have concrete feedback on how well the system was dispatched the previous day; (2) a target ration can be established to monitor the real-time pool performance; and (3) through postanalysis, the benefits for improving various aspects of system operation can be easily and reliably quantified.<<ETX>>



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