In view of the current problem of low prediction accuracy of computeraideddesign prediction method, this paper uses vector drawing design to study the prediction of computeraideddesign. First of all, according to ...
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Modern system-on-chip (SoC) designs comprise hundreds of individual IP blocks, each with its custom implementation of reset signals in most cases. The asynchronous nature of these resets while crossing different reset...
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Modern system-on-chip (SoC) designs comprise hundreds of individual IP blocks, each with its custom implementation of reset signals in most cases. The asynchronous nature of these resets while crossing different reset domains makes the SoC prone to various vulnerabilities if not implemented and validated thoroughly. A key aspect in validating system functionality is to ensure the functionality under reset is verified. Traditional simulation-based validation techniques often become a bottleneck in complex SoC designs due to the large control path of these designs. We propose SoC security checker under asynchronous resets (SoCCAR), a SoC validation framework that addresses this problem. SoCCAR leverages control flow graphs (CFGs) of the design to extract the control flow associated with property violations caused by reset domain crossings due to asynchronous resets. SoCCAR efficiently tracks the chain of events leading to the payload without suffering from state space explosion, a common challenge in complex designs. We test the efficacy of SoCCAR in detecting such vulnerabilities by developing multiple SoC benchmarks, each embedded with custom vulnerability originating from reset implementations across different domains. These vulnerabilities reflect practical design complexity and correspond to security violations encountered in practice as a result of multiple asynchronous resets. SoCCAR successfully detected all violations with minimal computation overhead and runtime, making it a viable approach for detecting such violations in complex SoC designs.
Modern cyber-physical systems (CPSs) employ an increasingly large number of software control loops to enhance their autonomous capabilities. Such large task sets and their dependencies may lead to deadline misses caus...
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Modern cyber-physical systems (CPSs) employ an increasingly large number of software control loops to enhance their autonomous capabilities. Such large task sets and their dependencies may lead to deadline misses caused by platform-level timing uncertainties, resource contention, etc. To ensure the schedulability of the task set in the embedded platform in the presence of these uncertainties, there exist co-design techniques that assign task periodicities such that control costs are minimized. Another line of work exists that addresses the same platform schedulability issue by skipping a bounded number of control executions within a fixed number of control instances. Considering that control tasks are designed to perform robustly against delayed actuation (due to deadline misses, network packet drops etc.) a bounded number of control skips can be applied while ensuring certain performance margin. Our work combines these two control scheduling co-design disciplines and develops a strategy to adaptively employ control skips or update periodicities of the control tasks depending on their current performance requirements. For this we leverage a novel theory of automata-based control skip sequence generation while ensuring periodicity, safety and stability constraints. We demonstrate the effectiveness of this dynamic resource sharing approach in an automotive Hardware-in-loop setup with realistic control task set implementations.
This article introduces an advanced methodology for optimal parametric design based on discrete-time analysis findings of a robust force control structure, integrating both a disturbance observer and a reaction force ...
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This paper explores the feasibility of incorporating computeraided tools in mechatronic design courses by Project-Based Learning. The challenges of engineering education are discussed, some principles to develop new ...
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ISBN:
(纸本)9798350385731;9798350385724
This paper explores the feasibility of incorporating computeraided tools in mechatronic design courses by Project-Based Learning. The challenges of engineering education are discussed, some principles to develop new engineering electives are introduced, and these principles are used to design ME-546 Advanced computeraideddesign and computeraided Manufacturing (CAD/CAM) Theory and Applications at Purdue University Fort Wayne. To cope with the need to incorporate advanced computer technologies in Engineering Education, we promote project-based learning to support needs-driven mechatronic design. This motivates students to explore advanced computer-assistive tools with minimal guidance to solve real-world engineering problems. Moreover, the project " Emergency Evacuation system for Disabilities in Wheelchair" sponsored by Engineering Projects in Community Service (EPICS) of ieee is used thoroughly to define all course projects in class. The proposed work is still ongoing, but the current progress has shown optimism in motivating students for self-learning and exploring themselves to AI tools including various advanced computeraided tools to the great extent in a shortened time.
The paper deals with an approach to creation robust systems for stabilizing data measuring sensors operating on vehicles in operating conditions. The structure of computer-aidedsystem for designing above-mentioned sy...
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The governance technology of decentralized autonomous organizations (DAOs) provides an effective solution for solving existing organizational management issues. Governance mechanisms of DAOs are usually encoded in sma...
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The governance technology of decentralized autonomous organizations (DAOs) provides an effective solution for solving existing organizational management issues. Governance mechanisms of DAOs are usually encoded in smart contracts in the form of rule sets and executed automatically. However, the mechanism's logical flaws and code errors expose DAOs to unpredictable risks. Complex adaptive dynamics computer-aideddesign (CadCAD) can test the effectiveness of the mechanisms through simulation. Nonetheless, as DAOs are typical complex systems with social and engineering complexity, managing, controlling, and supervising their operation through traditional methods are difficult. The parallel intelligence theory based on artificial societies, computational experiments, and parallel execution (ACP) method provides an effective research framework and practical method for solving DAOs' governance issues. Therefore, in this article, we propose a parallel mechanism verification method and execution system, namely, complex adaptive systems for computer-aided dynamic design (casCAD2) as an extension of cadCAD. Leveraging parallel intelligence and cyber-physical-social systems (CPSS), casCAD2 is capable of probing into the laws that govern system evolution within a simulated environment. It serves as a robust tool for verifying the efficacy of DAOs' mechanisms and predicting their potential risks. We also build a parallel market-based anchoring mechanism (MAM) system to demonstrate how it can be used for DAOs' mechanism verification. This study can provide a new research method and application system for DAOs' effective governance.
The integration of renewable energy sources necessitates assessment of dynamic system performance due to their inherent variability, requiring analyses of grid stability, control strategies, and economic implications....
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Most of the existing computer-aided industrial design focuses on the functional development of industrial design, with less attention paid to the coordination of various design stages, which leads to designers being u...
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According to the needs of auditing work, efforts are made to develop suitable computer-aided auditing software to gradually change or enhance traditional auditing techniques and methods, which can better play the role...
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