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检索条件"任意字段=12th International Conference on Tools and Algorithms for the Construction and Analysis of Systems"

共 1492 条记录，以下是121-130 订阅

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Research on the construction of Digital Transformation Capability Maturity Index System for Logistics Enterprises 8

Research on the Construction of Digital Transformation Capab...

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8th international conference on Management Engineering, Software Engineering and Service Sciences, ICMSS 2024

作者： Ye, Fenfang Zhao, Jing Zhang, Zhiqiao School of management Guangdong University of Science and Technology Dongguan China

ISBN: (纸本)9798350393705

Currently, the rapid development of artificial intelligence, blockchain, cloud computing, big data and other "ABCD" technology has brought new momentum and new value to logistics enterprises. this paper aims to construct a digital transformation capability maturity index system for logistics enterprises, to indicate the direction of digital transformation for logistics enterprises and to promote their digital transformation process. First, the hierarchical structure of the indicator system is established: 48 indicators in total. Among them, there are 4 primary indicators, namely, digital strategic planning and organizational management capacity, infrastructure construction, business process and management digitization and digital performance, 12 secondary indicators and 32 tertiary indicators. Analytical Hierarchy Process (AHP) is applied to determine the weights of the indicators. Finally, through indicator weights analysis, relevant strategies for logistics enterprises to enhance digital transformation capability maturity are proposed, such as intelligent logistics planning algorithms should be used to improve the coordination of enterprise logistics planning, digital benefits-oriented implementation of digital transformation, top management should strongly support enterprise digital transformation, and digital security technology to strengthen the security and management and maintenance, and so on. © 2024 IEEE.

关键词： Hierarchical systems

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Transition Power Abstractions for Deep Counterexample Detection 28th

Transition Power Abstractions for Deep Counterexample Detect...

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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： 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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An Approach Towards Reducing Training Time of the Input Doubling Method via Clustering for Middle-Sized Data analysis 19

An Approach Towards Reducing Training Time of the Input Doub...

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19th international conference on Future Networks and Communications, FNC 2024 / 21st international conference on Mobile systems and Pervasive Computing, MobiSPC 2024 / 14th international conference on Sustainable Energy Information Technology, SEIT 2024

作者： Izonin, Ivan Tkachenko, Roman Yemets, Kyrylo Gregus, Michal Tomashy, Yevhen Pliss, Iryna Department of Artificial Intelligence Lviv Polytechnic National University Kniazia Romana str. 5 Lviv79905 Ukraine Department of Publishing Information Technologies Lviv Polytechnic National University S. Bandera str. 12 Lviv79013 Ukraine Faculty of Management Comenius University Bratislava Odbojárov 10 Bratislava Slovakia Control Systems Research Laboratory Kharkiv National University of Radio Electronics Nauky ave. 14 Kharkiv61166 Ukraine

Intellectual analysis of small and middle-sized datasets through machine learning tools presents challenges in various application domains. Existing methods fail to provide sufficient accuracy, and their utilization is accompanied by a range of issues during data analysis. this paper proposes the improvement of the input doubling method for middle-sized data analysis. the existing method employs an augmentation procedure where the augmented data sample increases quadratically. this imposes several limitations on the method's usage for middle-sized data analysis. the authors propose enhancing this method by introducing an additional clustering procedure during data augmentation. the training algorithms and application methods are described, and a visualization of the main steps of its operation is provided. Modeling is performed on two medium-sized datasets. Optimal parameters for the improved method are selected, demonstrating its high efficiency. Specifically, significant reductions in the volumes of augmented datasets (8-9 times for both datasets respectively) are achieved, accompanied by substantial reductions in the training procedure duration of the method (more than 100 and 260 times for both datasets respectively), while maintaining high accuracy. © 2024 the Authors. Published by Elsevier B.V.

关键词： Data accuracy

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DAT (Data Analytics Tool): A Data-Driven Decision-Making Tool for Data Analytics 12

DAT (Data Analytics Tool): A Data-Driven Decision-Making Too...

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12th international conference on Information and Education Technology, ICIET 2024

作者： Abaya, Sheila A. De Guzman, Froilan E. University Of The East Department Of Computer Studies And Systems Caloocan City Philippines

ISBN: (纸本)9798350371772

Data Analytics Tool (DAT) is an application that collects and analyzes data in order to improve business processes and aid in discovering hidden trends and patterns thereby uncovering insights to make future data-driven and intelligent decisions. this project is aligned with the business and data analytic courses content of the University and intended to be used by the faculty members and students enrolled in these courses. With the utilization of DAT, the users can uniformly use it in simulating business analytics with the given data set. DAT development was based on the principles of lean methodology. Various technologies incorporated in the application were: data mining, statistical measures, forecasting, and decision analysis methods. these tools were implemented using Visual Studio and coded using C# because of its flexibility. DAT was evaluated for its effectiveness and efficiency as a data analytic tool for faculty members and students using the ISO/IEC 20510 software quality assurance standard with the factors: functional suitability, performance efficiency, compatibility, usability, and reliability. the weighted mean results per criterion were computed, and interpreted using the Likert scale model and resulted in the acceptability rate of the respondents © 2024 IEEE.

关键词： Data Analytics

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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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analysis AND OPTIMIZATION OF A HYBRID TESTING MEthODOLOGY USING A SMALL-SCALE SET-UP 12

ANALYSIS AND OPTIMIZATION OF A HYBRID TESTING METHODOLOGY US...

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12th international conference on Structural Dynamics (EURODYN)

作者： van Vugt, G. Henriques, J. Vandoren, B. Degee, H. Hasselt Univ Martelarenlaan 42 B-3500 Hasselt Belgium

Hybrid testing provides an efficient and less costly way to explore the response of structural systems to realistic dynamic or seismic loading. However, the required equipment to execute hybrid tests are high-cost tools. To get insight in the hybrid testing methodology, a small-scale set-up has been developed in this project. An Arduino UNO controls the system that imposes the displacement to a linear actuator. Connecting the small-scale set-up, i.e., the Arduino UNO, to MATLAB allows imposing a time history to the physical substructure. A load cell measures the restoring force which will be communicated to MATLAB by the Arduino UNO. Numerical integration based on the Gravouil-Combescure scheme with Classic Lagrange Multipliers (CLM) determines the displacement for the next time step. this paper describes hot spots of the methodology and the results of a demonstrative experimental test. the experiment consists of a 4 degree of freedom (DOF) numerical model combined with a 1 DOF physical specimen. the installed linear actuator only has one gearing option, which leads to a possible overshooting loop. Interesting conclusions can be drawn from the analysis of the small-scale set-up in view of its future upscaling and implementation of the hybrid test method at laboratory scale. Firstly, the linear actuator requires a non-negligible amount of time to reach the imposed displacement which imposes boundary conditions in the MATLAB directives. Secondly, a velocity-controlled actuator is essential in the exploitation of hybrid testing. thirdly, the displacement tolerance influences the stability of the system. If one increases the displacement tolerance, the risk of an overshooting loop decreases. However, the accuracy might be influenced. Good balance must therefore be found between stability and accuracy.

关键词： Hybrid testing small-scale set-up time integration

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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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Design of a FF HSE Message analysis Tool Based on Wireshark 12

Design of a FF HSE Message Analysis Tool Based on Wireshark

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12th international conference on CYBER Technology in Automation, Control, and Intelligent systems, CYBER 2022

作者： Ding, Shuwei He, Lin Gu, Yuanbei Bao, Weihua Shanghai Automation Instrumentation Co. Ltd. Shanghai200072 China

ISBN: (数字)9781665472678

ISBN: (纸本)9781665472678

FF HSE is a fieldbus protocol, which is widely used in industrial automation. At present, there is still a lack of message analysis tools that can facilitate the detection of the protocol. this paper studies the message specification of FF HSE protocol, uses the LUA language execution engine and the function interface provided in Wireshark software, develops the Wires hark parser plug-in for FF HSE protocol, intercepts, decodes and analyzes the messages flowing through the Fieldbus with the help of the Ethernet card of PC. the design of message analysis tool provides a new idea for detecting fieldbus faults. © 2022 IEEE.

关键词： Protocols Automation Wires Life estimation Ethernet Debugging Control 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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Emerging Trends in construction Dispute Resolution: Integrating Technology and Collaboration for the Future 5th

Emerging Trends in Construction Dispute Resolution: Integrat...

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5th international conference on Advanced Technologies and Humanity

作者： Salem, Elsayed Elwakil, Emad Hegab, Mohamed Purdue Univ Sch Construct Management W Lafayette IN 47907 USA Calif State Univ Dept Civil Engn & Construct Management Northridge CA USA

ISBN: (纸本)9783031765568;9783031765575

construction disputes have historically caused massive delays and cost overruns, often stemming from adversarial relationships between stakeholders. However, the industry is transforming towards more collaborative, technology-enabled dispute prevention and resolution approaches. this paper explores these emerging trends by extensively analyzing current literature and industry outlooks. It examines innovations in digital documentation, data analytics, virtual collaboration, blockchain transactions, integrated project delivery, and relational contracting frameworks reshaping dispute cultures. the study aims to investigate the ability top integrate new technologies for instance BIM and fuzzy logic systems to reduce disputes in construction projects. the analysis also underscores the need for construction professionals to continually expand their expertise in the latest dispute management best practices as projects become more complex. It concludes that an amalgamation of technological tools, collaborative mindsets, proactive planning, and continuous knowledge building is crucial in developing efficient construction disputemanagementmechanismsworldwide. Also, the full sharing of information and collaboration between project parties is the effective way to reduce conflicts and disputes at early stages.

关键词： construction disputes delays technology-enabled dispute resolution digital documentation data analytics virtual collaboration blockchain transactions integrated project delivery relational contracting frameworks dispute cultures dispute management knowledge building construction professionals

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