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检索条件"任意字段=11th International Conference on Tools and Algorithms for the Construction and Analysis of Systems"

共 1630 条记录，以下是121-130 订阅

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PROFESSIONAL COURSE OFFERED WIthIN A TECHNICAL ACADEMY CONCERNING thE INNOVATIVE BIM TECHNOLOGY 16

PROFESSIONAL COURSE OFFERED WITHIN A TECHNICAL ACADEMY CONCE...

引用

16th international conference on Computer Graphics, Visualization, Computer Vision and Image Processing, CGVCVIP 2022, 8th international conference on Connected Smart Cities, CSC 2022, 7th international conference on Big Data Analytics, Data Mining and Computational Intelligence, BigDaCI 2022, and 11th international conference on theory and Practice in Modern Computing, TPMC 2022 - Held at the 16th Multi conference on Computer Science and Information systems, MCCSIS 2022

作者： Sampaio, Alcínia Zita Gomes, Augusto University of Lisbon Higher Technical Institute Dep. Civil Engineering Av. Rovisco Pais Lisbon Portugal

ISBN: (纸本)9789898704429

the implementation of Building Information modelling (BIM) methodology in the construction industry has been covering a wide applicability with recognized benefits in designing, constructing and operating buildings. A recent short course organized in the University of Lisbon, actualized with the most relevant achievement based in master researches, was offered to professionals of the industry, namely, architects and civil engineers coming from diverse engineering areas, environment, construction, maintenance, consult and patrimonial enterprises and also from public organizations like city councils. the proposed action covers the areas of construction (conflict analysis, planning and materials take-off), structures (interoperability, analyses and transfer of information between software) and the most recent Heritage Building Information Modelling (HBIM) perspective. the course aims to contribute to the dissemination of the potential of BIM in the areas of designing, construction and refurbishing of historical buildings. the participants followed the course with great interest and satisfaction, formulating several questions directed to the particular activity of each of the attendees. © MCCSIS *** rights reserved.

关键词： construction industry

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Design and Application of Big Data analysis Management Platform of Coalbed Gas 11th

Design and Application of Big Data Analysis Management Platf...

引用

11th international conference on Signal and Information Processing, Network and Computers, ICSINC 2023

作者： Chen, Qian Cheng, Lei National Academy of Innovation Strategy 3 Fuxing Road Beijing100038 China CCTEG Coal Industry Planning Institute 67Ande Road Beijing100120 China

ISBN: (纸本)9789819721153

Data fusion and integration is an important subject for coal enterprises to develop and utilize coalbed gas. In the current situation of the shortage of coalbed gas database resources and analysis tools in China’s coal mine areas, how to mine valuable information from massive data, and then promote the development and utilization and rational layout, has become an urgent problem to be solved. Aiming at the shortcomings of traditional data collection, analysis and management mode, based on the principle of collaborative computing and distributed storage of big data technology, and according to the business needs of coalbed gas development and utilization in coal mine areas, this paper establishes a big data analysis and management platform construction scheme for coalbed gas, and makes preliminary exploration in actual projects. the typical application direction of CBM big data platform is given, which lays a foundation for the informatization, digitization and systematic development of coalbed gas. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Big data

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ТOPOLOGICAL DATA analysis FOR SELECTION OF MACHINE LEARNING MODELS IN CEREBRAL STROKE DETECTION 9

ТOPOLOGICAL DATA ANALYSIS FOR SELECTION OF MACHINE LEARNING...

引用

9th international conference on Big Data Analytics, Data Mining and Computational Intelligence, BigDaCI 2024, the 10th international conference on Connected Smart Cities, CSC 2024 and the 16th international conference on e-Health, EH 2024, Part of the 18th Multi conference on Computer Science and Information systems 2024, MCCSIS 2024

作者： Vatian, Aleksandra Gusarova, Natalia Tomilov, Ivan Shilonosov, Vladimir Valitova, Julia Sashin, Vladimir Bobrova, Maria Mashechkov, Stanislav Polevaya, Tatiana Zubanenko, Alexey ITMO University Sankt-Petersburg197101 Russia

ISBN: (纸本)9789898704597

Rapid and reliable diagnosis of cerebral stroke is a vital necessity, and among them, ischemic stroke is the most difficult to recognize on MRI images. Increasing the efficiency of stroke diagnosis is associated with the transition to increasingly "heavy" AI tools working in 3D mode, processing MRI images not pixel-by-pixel, but voxel-by-voxel and using complex multifactor information processing algorithms. the implementation of such products requires large computing resources, which are often unavailable outside large medical centers. In addition, existing explainable AI tools identify the affected area very roughly and generally, which reduces the doctor’s confidence in the diagnostic result. On the other hand, one can use AI models operating in 2D mode - weaker, but faster and less demanding on computing resources. the article uses a Siamese neural network as a base model. To improve classification efficiency, a model pretrain on "light" synthetic data based on Perlin noise is proposed. To objectify the choice of mode, the article uses the apparatus of topological data analysis, namely, changes in persistent entropy and Renyi entropy of data embeddings on fully connected layers of a neural network. It is theoretically justified and experimentally confirmed that using a 2D model, when trained on slices with maximum lesion visibility, produces ROC-AUC values no worse than using a full-scale 3D SOTA models, while allowing the clinician to selectively evaluate the individual slices he or she selects. © 2024 Big Data Analytics, Data Mining and Computational Intelligence. All Rights Reserved.

关键词： Data Analytics

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Standard demand analysis of new distribution system 11th

Standard demand analysis of new distribution system

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11th international conference on Applications and Techniques in Cyber Intelligence, ATCI 2023

作者： Chen, Xiangli Cheng, Yanhong Zhang, Yao Gu, Taiyu Tian, Ye Electric Power Technology Collaboration Beijing100032 China China Electric Power Research Institute Beijing100192 China State Grid Liaoning Electric Power Co. Ltd. Electric Power Science Research Institute Shenyang110002 China

With the gradual development of new distribution system, the standard of traditional distribution system has appeared lag, so people need to explore the standard demand of new distribution system. this paper mainly discusses the development background and development of new distribution system standard demand, and then carries out demand analysis from the perspective of coordination and demand, aiming at providing support for the subsequent development of new distribution system. the research on this has practical significance to promote the development of new distribution standard. © 2024 the Authors. Published by Elsevier B.V.

关键词： DC distribution systems

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Under-Approximating Expected Total Rewards in POMDPs 28th

Under-Approximating Expected Total Rewards in POMDPs

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28th international conference on tools and algorithms for the construction and analysis of systems (TACAS) Held as Part of the 25th European Joint conferences on theory and Practice of Software (ETAPS)

作者： Bork, Alexander Katoeu, Joost-Pieter Quatmann, Tim Rhein Westfal TH Aachen Aachen Germany

ISBN: (纸本)9783030995270;9783030995263

We consider the problem: is the optimal expected total re- ward to reach a goal state in a partially observable Markov decision process (POMDP) below a given threshold? We tackle this-generally undecidable-problem by computing under-approximations on these total expected rewards. this is done by abstracting finite unfoldings of the infinite belief MDP of the POMDP. the key issue is to find a suitable under-approximation of the value function. We provide two techniques: a simple (cut-off) technique that uses a good policy on the POMDP, and a more advanced technique (belief clipping) that uses minimal shifts of probabilities between beliefs. We use mixed-integer linear programming (MILP) to find such minimal probability shifts and experimentally show that our techniques scale quite well while providing tight lower bounds on the expected total reward.

关键词： Integer programming

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Transition Power Abstractions for Deep Counterexample Detection 28th

Transition Power Abstractions for Deep Counterexample Detect...

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作者： Blicha, Martin Fedyukovich, Grigory Hyvarinen, Antti E. J. Sharygina, Natasha Univ Svizzera Italiana Lugano Switzerland Florida State Univ Tallahassee FL 32306 USA Charles Univ Prague Prague Czech Republic

ISBN: (纸本)9783030995249;9783030995232

While model checking safety of infinite-state systems by inferring state invariants has steadily improved recently, most verification tools still rely on a technique based on bounded model checking to detect safety violations. In particular, the current techniques typically analyze executions by unfolding transitions one step at a time, and the slow growth of execution length prevents detection of deep counterexamples before the tool reaches its limits on computations. We propose a novel model-checking algorithm that is capable of both proving unbounded safety and finding long counterexamples. the idea is to use Craig interpolation to guide the creation of symbolic abstractions of exponentially longer sequences of transitions. Our experimental analysis shows that on unsafe benchmarks with deep counterexamples our implementation can detect faulty executions that are at least an order of magnitude longer than those detectable by the state-of-the-art tools.

关键词： Model checking Transition systems Craig interpolation Model-based projection

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the Static Analyzer Frama-C in SV-COMP (Competition Contribution) 28th

The Static Analyzer Frama-C in SV-COMP (Competition Contribu...

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作者： Beyer, Dirk Spiessl, Martin Ludwig Maximilians Univ Munchen Munich Germany

ISBN: (纸本)9783030995270;9783030995263

FRAMA-C is a well-known platform for source-code analysis of programs written in C. It can be extended via its plug-in architecture by various analysis backends and features an extensive annotation language called ACSL. So far it was hard to compare FRAMA-C to other software verifiers. Our competition participation contributes an adapter named FRAmA-c-sv, which makes it possible to evaluate FRAMA-C against other software verifiers. the adapter transforms standard verification tasks (from the well-known SV-Benchmarks collection) in a way that can be understood by FRAMA-C and produces a verification witness as output. While FRAMA-C provides many different analyses, we focus on the Evolved Value analysis (EVA), which uses a combination of different domains to over-approximate the behavior of the analyzed program.

关键词： Software verification Program analysis Formal methods Competition on Software Verification Comparative Evaluation SV-COMP Frama-C

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Research on the Requirements analysis and Key Technologies of Space-Based Information Intelligence Applications 11th

Research on the Requirements Analysis and Key Technologies o...

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11th international conference on Signal and Information Processing, Network and Computers, ICSINC 2023

作者： Sun, Lingli Wei, Xiaofeng Gong, Jianglei Liang, Wenning China Academy of Space Technology Beijing China Xidian University Xi’an China China Aerospace Science and Technology Corporation Beijing China

ISBN: (纸本)9789819721191

With the rapid development of space technology, the demand for landing applications of space-based information in various fields is becoming stronger and stronger. the traditional processing strategy of transmitting space-based information from ground to ground, processing instructions to satellite, can no longer meet the requirements of intelligent space-based information applications. Aiming at the future intelligent information application scenarios, focusing on the requirements of space-based information intelligence applications, combined with software definitions and artificial intelligence related technologies, a space-based intelligent information system architecture is proposed, and the key technologies of information system are analyzed to provide supporting for the subsequent construction of an efficient and intelligent space-based information system architecture. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Information systems

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作者： Kwiatkowska, Marta Norman, Gethin Parker, David Santos, Gabriel Univ Oxford Dept Comp Sci Oxford England Univ Glasgow Sch Comp Sci Glasgow Lanark Scotland Univ Birmingham Sch Comp Sci Birmingham W Midlands England

ISBN: (纸本)9783030995270;9783030995263

Game-theoretic techniques and equilibria analysis facilitate the design and verification of competitive systems. While algorithmic complexity of equilibria computation has been extensively studied, practical implementation and application of game-theoretic methods is more recent. tools such as PRISM-games support automated verification and synthesis of zero-sum and (epsilon-optimal subgame-perfect) social welfare Nash equilibria properties for concurrent stochastic games. However, these methods become inefficient as the number of agents grows and may also generate equilibria that yield significant variations in the outcomes for individual agents. We extend the functionality of PRISM-games to support correlated equilibria, in which players can coordinate through public signals, and introduce a novel optimality criterion of social fairness, which can be applied to both Nash and correlated equilibria. We show that correlated equilibria are easier to compute, are more equitable, and can also improve joint outcomes. We implement algorithms for both normal form games and the more complex case of multi-player concurrent stochastic games with temporal logic specifications. On a range of case studies, we demonstrate the benefits of our methods.

关键词： Stochastic systems

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Efficient analysis of Cyclic Redundancy Architectures via Boolean Fault Propagation 28th

Efficient Analysis of Cyclic Redundancy Architectures via Bo...

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作者： Bozzano, Marco Cimatti, Alessandro Griggio, Alberto Jonas, Martin Fdn Bruno Kessler Trento Italy

ISBN: (纸本)9783030995270;9783030995263

Many safety critical systems guarantee fault-tolerance by using several redundant copies of their components. When designing such redundancy architectures, it is crucial to analyze their fault trees, which describe combinations of faults of individual components that may cause malfunction of the system. State-of-the-art techniques for fault tree computation use first-order formulas with uninterpreted functions to model the transformations of signals performed by the redundancy system and an AllSMT query for computation of the fault tree from this encoding. Scalability of the analysis can be further improved by techniques such as predicate abstraction, which reduces the problem to Boolean case. In this paper, we show that as far as fault trees of redundancy architectures are concerned, signal transformation can be equivalently viewed in a purely Boolean way as fault propagation. this alternative view has important practical consequences. First, it applies also to general redundancy architectures with cyclic dependencies among components, to which the current state-of-the-art methods based on AIISMT are not applicable, and which currently require expensive sequential reasoning. Second, it allows for a simpler encoding of the problem and usage of efficient algorithms for analysis of fault propagation, which can significantly improve the runtime of the analyses. A thorough experimental evaluation demonstrates the superiority of the proposed techniques.

关键词： Fault tolerance

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