this paper is concerned withthe optimal control problem for a class of unknown continuous-time nonlinear system. A system identification method by date-driven model is established to reconstruct the unknown system dy...
详细信息
ISBN:
(纸本)9781509021550
this paper is concerned withthe optimal control problem for a class of unknown continuous-time nonlinear system. A system identification method by date-driven model is established to reconstruct the unknown system dynamic by the input-output data. then considering the optimal control problem, a novel critic neural networks design is proposed based on the policy iteration (PI), where the updating laws of parameters are designed by the normalized gradient descent algorithm and convex optimization method. And the computational burden of cost error get reduced during the iteration procedure using the new method. Based on this adaptive dynamic programming algorithm, the weight convergence is obtained and stability is guaranteed by Lyapunov theory. Finally, two simulation examples are shown to verify the effectiveness of this novel method.
Intuitively, proteins in the same protein complexes should highly interact with each other but rarely interact withthe other proteins in protein-protein interaction (PPI) networks. Surprisingly, many existing computa...
详细信息
ISBN:
(纸本)9781450342254
Intuitively, proteins in the same protein complexes should highly interact with each other but rarely interact withthe other proteins in protein-protein interaction (PPI) networks. Surprisingly, many existing computational algorithms do not directly detect protein complexes based on both of these topological properties. Most of them, depending on mathematical definitions of either "modularity" or "conductance", have their own limitations: Modularity has the inherent resolution problem ignoring small protein complexes;and conductance characterizes the separability of complexes but fails to capture the interaction density within complexes. We present a two-step algorithm FLCD (Finding Low-Conductance sets with Dense interactions) to predict overlapping protein complexes withthe desired topological structure, which is densely connected inside and well separated from the rest of the networks. First, FLCD detects well-separated subnetworks based on approximating a potential low-conductance set through a personalized PageRank vector from each protein and then solving a mixed integer programming (MIP) problem to find the minimum-conductance set within the identified low-conductance set. At the second step, the densely connected parts in those subnetworks are discovered as the protein complexes by solving another MIP problem that aims to find the dense subnetwork in the minimum-conductance set. Experiments on four large-scale yeast PPI networks from different public databases demonstrate that the complexes predicted by FLCD have better correspondence withthe yeast protein complex gold standards than other three state-of-the-art algorithms (ClusterONE, LinkComm, and SR-MCL). Additionally, results of FLCD show higher biological relevance with respect to Gene Ontology (GO) terms by GO enrichment analysis.
the need for teachers of Elementary School children to learn to program or rather to understand the Computational thinking behind programming has been accelerated in many countries by the mandated teaching of programm...
详细信息
ISBN:
(纸本)9783319295855;9783319295848
the need for teachers of Elementary School children to learn to program or rather to understand the Computational thinking behind programming has been accelerated in many countries by the mandated teaching of programming in this context. A major problem is that the majority of such teachers have no concept of how to program and naturally are not motivated to learn programming. the need to teach programming will motivate most but to learn through a tool that can be seen to have intrinsic value in their role as teachers have a greater potential. this paper describes the design and early implementation of a tool to use the learning of Flash Action Scripting as a motivational mechanism for trainee teachers. the intrinsic value to them is intended to be the utilisation of the learned Action Scripting skills to produce their own teaching material. Initial results indicate an enhanced engagement and motivation to learn to program and improved confidence in doing so.
In the work the queueing system of the disconnected multi-channel type to which irregular, uniform or not uniform flows of requests with a unlimited latency period arrive is considered. the system is considered on an ...
详细信息
In the work the queueing system of the disconnected multi-channel type to which irregular, uniform or not uniform flows of requests with a unlimited latency period arrive is considered. the system is considered on an example of the container terminal having conditional-functional sections with a definite mark-to-space ratio on which the irregular inhomogeneous traffic flow with resultant intensity acts.
the article discusses problem of finding the polyhedrons given shape inside another polyhedrons. this problem is a particular case of the 18th Hilbert problem third part. It has a practical application in the computer...
详细信息
A hierarchical wind driven optimization (WDO) method is proposed to solve the bi-level programming problem. Firstly, the WDO method is used to optimize the lower level programming problem after the upper level variabl...
详细信息
ISBN:
(纸本)9781509011025
A hierarchical wind driven optimization (WDO) method is proposed to solve the bi-level programming problem. Firstly, the WDO method is used to optimize the lower level programming problem after the upper level variables are initialized, and the positions and velocities of air parcels in the lower level are updated. then the solutions of the upper level are optimized by the WDO method withthe constrained conditions. Finally, the solutions withthe minimum sum of sequences of the two-level results are selected as the final solution from the solution set. the experimental results of the proposed algorithm show the effectiveness of the proposed hierarchical wind driven optimization for solving the bi-level programming problems.
the purpose of this paper is to analyze the effectiveness of an equity-oriented Makeathon designed to foster maker mindsets and maker identities in high school girls by engaging them with diverse tools, materials, men...
详细信息
We present recent developments in the Flowchart Writer (FloWr) project, where we have built a framework for implementing creative systems as flowcharts of processing nodes. We describe how the system has been migrated...
详细信息
Generational garbage collectors are among the most popular garbage collectors used in programming language runtime systems. their performance depends heavily on choosing the appropriate size of the area where new obje...
详细信息
ISBN:
(纸本)9781450342414
Generational garbage collectors are among the most popular garbage collectors used in programming language runtime systems. their performance depends heavily on choosing the appropriate size of the area where new objects are allocated (the nursery). In imperative languages, it is usual to make the nursery as large as possible, within the limits imposed by the heap size. functional languages, however, have quite different memory behaviour. In this paper, we study the effect that the nursery size has on the performance of lazy functional programs, through the interplay between cache locality and the frequency of collections. We demonstrate that, in contrast with imperative programs, having large nurseries is not always the best solution. Based on these results, we propose two novel algorithms for dynamic nursery resizing that aim to achieve a compromise between good cache locality and the frequency of garbage collections. We present an implementation of these algorithms in the state-of-the-art GHC compiler for the functional language Haskell, and evaluate them using an extensive benchmark suite. In the best case, we demonstrate a reduction in total execution times of up to 88.5%, or an 8.7 overall speedup, compared to using the production GHC garbage collector. On average, our technique gives an improvement of 9.3% in overall performance across a standard suite of 63 benchmarks for the production GHC compiler.
the rapid progress of multi/many-core architectures has caused data-intensive parallel applications not yet fully optimized to deliver the best performance. In the advent of concurrent programming, frameworks offering...
详细信息
the rapid progress of multi/many-core architectures has caused data-intensive parallel applications not yet fully optimized to deliver the best performance. In the advent of concurrent programming, frameworks offering structured patterns have alleviated developers' burden adapting such applications to multithreaded architectures. While some of these patterns are implemented using synchronization primitives, others avoid them by means of lock-free data mechanisms. However, lock-free programming is not straightforward, ensuring an appropriate use of their interfaces can be challenging, since different memory models plus instruction reordering at compiler/processor levels can interfere in the occurrence of data races. the benefits of race detectors are formidable in this sense;however, they may emit false positives if are unaware of the underlying lock-free structure semantics. To mitigate this issue, this paper extends threadSanitizer, a race detection tool, withthe semantics of 2 lock-free data structures: the single-producer/single-consumer and the multiple-producer/multiple-consumer queues. With it, we are able to drop false positives and detect potential semantic violations. the experimental evaluation, using different queue implementations on a set of benchmarks and real applications, demonstrates that it is possible to reduce, on average, 60% the number of data race warnings and detect wrong uses of these structures.
暂无评论