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An efficient optimizer for simple point process models
2013
Computational Imaging XI
Preserved Fulltext
We consider a specific model known as Marked Point Process (MPP). ...
In this paper we discuss the main characteristics (that we consider to be essential) for the design of an efficient optimizer in the context of highly non-convex functions. ...
to design efficient optimizers, while focusing on a selected class of models, namely Point Process Models. ...
doi:10.1117/12.2009238
dblp:conf/cimaging/Gamal-EldinCDZ13
fatcat:qpmzelqj3bb3tjt3pei4kygsfm
Overview on artificial intelligence in design of Organic Rankine Cycle
2020
Energy and AI
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Intelligent optimization algorithm based on data-driven model will be an effective method to solve parameter optimization. ...
At last, the state of art in this field and the prospects for the future work are provided. ...
[52]
2009
Optimize the cycle state points for
a simple ORC
Turbine inlet pressure
Exergy efficiency
GA
Waste heat
Simple ORC
R123
Rashidi et al. ...
doi:10.1016/j.egyai.2020.100011
fatcat:5vkar5lwyzbavnwgijmpjtmf2q
Optimal Sampling and Problematic Likelihood Functions in a Simple Population Model
2008
Environmental Modelling and Assessment
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We show that for a simple birthdeath process, with positive Malthusian growth rate, subject to common practical constraints (such as the number of samples and timeframes), there is an optimal schedule ...
This type of experimental design results in a more efficient use of experimental resources, which is often an important consideration. ...
We examine a simple model of population growth, known as the simple birth-death process. ...
doi:10.1007/s10666-008-9159-1
fatcat:5zjzq7u7ffa5bkah2ltssr3xcu
Optimization of Collective Communication for Heterogeneous HPC Platforms
[chapter]
2014
High-Performance Computing on Complex Environments
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This review chapter asks following seemingly simple questions: What are the best practices of implementing an efficient collective operation for a heterogeneous and/or hierarchical platform? ...
The main advantage of such an algorithm is that (as shown in Fig. 1.1(b) ) different point-to-point exchanges can be parallelized. ...
Homogeneous Performance Models The simple Hockney model [23] is the most comprehensive performance model of point-to-point communication, and is the common starting point for modelling collective algorithms ...
doi:10.1002/9781118711897.ch6
fatcat:s4uy5huoljbgrpoeu3gqdw4tyy
Thermo-economic optimization of supercritical CO2 Brayton cycle on the design point for application in solar power tower system
2021
E3S Web of Conferences
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The selection and optimization of design points are very important for actual operating situations. ...
In this paper, the thermodynamic and economic models of the 10 MWe supercritical CO2 Brayton cycle for application in solar power tower system are established. ...
Comparing to the simple recuperative cycle, the reheating cycle has an extra turbine and an additional reheating process in the re-heater. ...
doi:10.1051/e3sconf/202124201002
fatcat:o4nt4bcdmfhureqinb2q2ry44i
EATT: Energy aware target tracking for wireless sensor networks using TinyOS
2010
2010 3rd International Conference on Computer Science and Information Technology
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The work presented demonstrates the viability of achieving real time energy efficient target tracking by using simple optimization technique for a tracking algorithm implemented in TinyOS. ...
Taking into consideration the unique energy constraints of motes we reduce the computational complexity of the tracking algorithm by using simple optimization technique. ...
The number of floating point operations involved in the simple implementation of the program using these models is compared with that of an optimized version of the same program i.e., Optimized Constant ...
doi:10.1109/iccsit.2010.5564071
fatcat:rxkjktcjwrhslpzi3t7pz2agzy
A note on approximation techniques used for process optimization
1985
Computers and Chemical Engineering
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The need for increasingly complex models for process simulation has led several researchers to develop more efficient steady-state simulation strategies. ...
In this Note we discuss problems which arise when adapting this approach for process optimization problems. ...
At present, we can offer two observations: a) A necessary condition for an appropriate simplified model for optimization is that it recognize the rigorous model optimum as a KKT point. ...
doi:10.1016/0098-1354(85)85010-9
fatcat:ssv4mdvac5e2pft6s4bqfu3jq4
Dynamical Modeling of Aircraft Landing Gear and its Multi-objective Optimization with Simple Cell Mapping Method
2018
Transactions of the Canadian Society for Mechanical Engineering
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In addition, the optimal parameter set provides useful interface information for detailed landing gear structural modeling that serves other analysis purposes. ...
Stress distribution is obtained from the dynamical analysis, which can be used for fatigue analysis, optimization design and so on. ...
to point mapping in simple cell mapping. ...
doi:10.1139/tcsme-2017-0083
fatcat:2thmq2fpljfo5pffyicggswvdi
Simulation in High Efficiency Solar Cell Research
[chapter]
1993
Simulation of Semiconductor Devices and Processes
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The practical application of numerical device simulation in high efficiency silicon solar cell research is presented. Aspects of the design development and the characterization are discussed. ...
The numerical calculation of this structure for both illumination directions in Fig. 5 shows that no simple model for an average T~ can be used. ...
In this paper we present an experimental and theoretical optimization study for the rear side point contact design (point spacing and size). The results are presented in Fig. 2 . ...
doi:10.1007/978-3-7091-6657-4_97
fatcat:r6uaufhoobe33kkctpyjrcwxl4
Optimizing the design of complex energy conversion systems by Branch and Cut
2010
Computers and Chemical Engineering
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Numerical results for different demands for electric power and process steam are discussed and a sensitivity analysis is performed. ...
Thus, the optimization problem is formulated as a highly non-convex mixed-integer nonlinear problem (MINLP) and solved by the MINLP solver LaGO. ...
With an efficiency of up to 59%, combined-cycle processes reach the highest efficiency for the production of electric power from fossil fuels today. ...
doi:10.1016/j.compchemeng.2010.03.007
fatcat:pxbi7qzgijdbtoiwbh7ujrkqbe
Page 18 of Geographical Analysis Vol. 12, Issue 1
[page]
1980
Geographical Analysis
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The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
In the second stage of the choice process, an individual chooses that member of the efficient set that maximizes the choice criterion. ...
Under simple assumptions concerning decreasing returns to effort expended at any point in the field, the efficient set may be represented as a convex curve through the origin in the plane representing ...
Development of a verification method of estimated indicators for their use as an optimization criterion
2017
Eastern-European Journal of Enterprise Technologies
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Introduction An indicator verification issue regarding its compliance with an optimization criterion is important from the practical point of view. ...
As an efficiency indicator, the evaluation indicator was used, which had undergone all stages of verification for the possibility of using it as an optimization criterion. ...
doi:10.15587/1729-4061.2017.95914
fatcat:lbjwvixwubenxploxscfjrefhu
Improvement of a Series-Parallel Hybrid Electric Vehicle Architecture
2017
2017 IEEE Vehicle Power and Propulsion Conference (VPPC)
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The three versions of SPHEVs and the reference THS are sized on a global optimal manner and compared. Results show that one variant of the simple SPHEV can have comparable fuel consumption to the THS. ...
However, this architecture was proven to be less efficient than a reference Power-Split SPHEV architecture: the Toyota Hybrid System (THS). ...
For each architecture, an optimal sizing procedure is performed using the global optimal design process proposed in [8] . ...
doi:10.1109/vppc.2017.8330943
fatcat:ovd6bst5ffbidfowwp2atvzf7u
Robust Experimental Design for Multivariate Generalized Linear Models
2006
Technometrics
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A simple heuristic is proposed for constructing robust experimental designs for multivariate generalized linear models. The method is based on clustering a set of local optimal designs. ...
A method for finding local D-optimal designs using available resources is also introduced. ...
., for providing helpful comments, engaging in productive discussions, and sharing his design code. ...
doi:10.1198/004017006000000318
fatcat:ag5o5pytgfgzzd5uzruoht7cai
Pluralistic Mechanism
2017
THEORIA : an International Journal for Theory, History and Fundations of Science
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In this paper, I focus on efficient coding models involving the so-called "canonical neural computations" and argue that although they imply some form of pluralism, they are compatible with two mechanistic ...
An argument recently proposed by Chirimuuta (2014) seems to motivate the rejection of the claims that every neurocognitive phenomenon can have a mechanistic explanation and that every neurocognitive explanation ...
Efficient computation and efficient coding models of neural processing (two different kinds of optimality models) require determining not only that a given coding regime or computational process constitutes ...
doi:10.1387/theoria.16877
fatcat:gqkt67j2dje4bkmyk7tys7c22a
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