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6th SIKS Conference on Enterprise Information systems 2011, EIS 2011

作者： Pombinho, João Tribolet, José INOV CODE - Center for Organizational Design and Engineering Rua Alves Redol 9 Lisbon Portugal Department of Information Systems and Computer Science Instituto Superior Técnico Technical University of Lisbon Portugal

Modeling organizations as complex systems in permanent evolution, as an answer to change dynamics, is an increasing challenge. Particularly, there is a lack of an integrated perspective that is generally and recursively applicable to organization chains, organizations and sub organizations of several types and sizes. Our research aims to answer how to incorporate purpose into system development activities, in a way that promotes value orientation and innovation. Three main conceptual challenges were identified: 1) the lack of capacity to view a system, and the services it provides, integrated in different value chains;2) the separation of the instance of a system from the purpose behind its design;and 3) the conceptual unidirectionality of the system development process. In this paper, we present the proposal of rationalizing system design and engineering decisions with value orientation, materialized in a set of principles and a four-layer framework: System, Service, Market (Value) and Problem Solving (Purpose).

关键词： Problem solving

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design for quality of engineering systems using variance decomposition 20

Design for quality of engineering systems using variance dec...

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20th ISSAT International Conference Reliability and Quality in design, RQD 2014

作者： Li, Qiuyang Son, Young Kap Savage, Gordon J. Systems Design Engineering University of Waterloo WaterlooONN2L 3G1 Canada

ISBN: (纸本)9780991057603

This paper presents a simple approach to rationally allocate means and tolerances to both provide quality and the associated cost in engineering systems. The novelty of the approach resides in the use of variance decomposition methods to provide variance information of multiple responses from full distributions of the design variables. The impact of the method is that it reinforces concepts from 6-ω design. Both cost and quality policies may serve as objectives and constraints in the optimization process.

关键词： Cost engineering

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Bridging the gap between cognitive systems engineering analysis, design and practice

Bridging the gap between cognitive systems engineering analy...

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57th Human Factors and Ergonomics Society Annual Meeting - 2013, HFES 2013

作者： Bisantz, Ann M. Lee, John D. Pfautz, Jonathan Burns, Catherine Elm, William C. Pennathur, Priyadarshini R. Department of Industrial and Systems Engineering State University of New York at Buffalo United States Department of Industrial and Systems Engineering University of Wisconsin Madison United States Charles River Analytics Inc. United States Department of Systems Design Engineering University of Waterloo Canada Resilient Cognitive Solutions United States Department of Mechanical and Industrial Engineering University of Iowa United States

ISBN: (纸本)9780945289432

Cognitive systems engineering principles and methods guide analysis and understanding of complex work domains. Taking the CSE analytic findings to the next step, design, is often not clearly specified in process form. Some reasons for a weakly specified and documented CSE analysis-to-design translation process are: (1) variations in work domain, making generalizations difficult;(2) the value of the analyses in relation to the scope of the study - Analyses from better funded studies create more value propositions for a client;and (3) practical resource considerations. The panelists share their insights on tackling challenges in translating results from CSE analysis into impactful and practicable designs, and offer solutions and strategies for making effective CSE recommendations for practice. Copyright 2013 by Human Factors and Ergonomics Society, Inc.

关键词： design

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Mechanism design for Blockchain Order Books Against Selfish Miners

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IEEE Transactions on Network Science and engineering 2025年第3期12卷 2121-2134页

作者： Liu, Yunshu Duan, Lingjie Northwestern Polytechnical University School of Cybersecurity Xi'an710129 China Singapore University of Technology and Design Pillar of Engineering Systems and Design 487372 Singapore

In blockchain-based order book systems, buyers and sellers trade assets, while it is miners to match them and include their transactions in the blockchain. It is found that many miners behave selfishly and myopically, prioritizing transactions with high fees and ignoring many desirable matches that could enhance social welfare. Existing blockchain mechanisms fail to address this issue by overlooking miners' selfish behaviors. To our best knowledge, this work presents the first analytical study to quantify and understand buyer and seller transaction fee choices and selfish miners' transaction matching strategies, proving an infinitely large price of anarchy (PoA) for social welfare loss. To mitigate this, we propose an adjustable block size mechanism that is easy to implement without altering the existing decentralized protocols and still allows buyers and sellers to freely decide transaction fees and miners to selfishly match. The analysis is challenging, as pure strategy Nash equilibria do not always exist, requiring the analysis of many buyers' or sellers' interactive mixed-strategy distributions. Moreover, the system designer may even lack information about each buyer's or seller's bid/ask prices and trading quantities. Nevertheless, our mechanism achieves a well-bounded PoA, and under the homogeneous-quantity trading for non-fungible tokens (NFT), it attains a PoA of 1 with no social welfare loss. We implement our mechanism on a local instance of Ethereum to demonstrate the feasibility of our approach. Experiments based on the realistic dataset demonstrate that our mechanism achieves social optimum for homogeneous-quantity trading like NFT. It can enhance social welfare up to 3.7 times compared to the existing order book benchmarks for heterogeneous-quantity trading of Bitcoin tokens. It exhibits robustness against random variations in buyers and sellers. © 2013 IEEE.

关键词： Sales

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UAV-Assisted Zero Knowledge Model Proof for Generative AI: A Multi-Agent Deep Reinforcement Learning Approach

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IEEE Internet of Things Journal 2025年第10期12卷 13441-13454页

作者： Hao, Min Shang, Chen Wang, Siming Jiang, Wenchao Nie, Jiangtian Singapore University of Technology and Design Pillar of Information Systems Technology and Design 487372 Singapore Nanyang Technological University School of Computer Science and Engineering 638788 Singapore

As more users seek generative AI models to enhance work efficiency, generative AI and Model-as-a-Service will drive transformative changes and upgrades across all industries. However, when users utilize generative AI models provided by the service provider, they cannot be certain that the model's quality matches the provider's claims. Considering the need to protect intellectual property, the service provider will not disclose model details for user verification. To this end, we take the Internet of Vehicles as research background, proposing a zero knowledge model proof architecture based on UAVs. We also introduce a multi-agent reinforcement learning algorithm to optimize the verification process. In specific, we first propose a verification scheme for the key operations of generative adversarial networks based on non-interactive zero knowledge proof. The zero knowledge proof architecture ensures that model parameters cannot be stolen during the verification process. After that, we propose an age of verification (AoV) metric to ensure the timeliness and freshness of zero knowledge proof. We also construct a trade-off optimization problem between the energy consumption of UAV as a verifier and the AoV of edge servers as service providers, and transform the problem based on Lyapunov optimization theory. Following that, we propose an enhanced multi-agent proximal policy optimization algorithm to enable the collaborative verification of edge servers by multiple UAVs. The algorithm simulation results demonstrate that the reward value of our proposed algorithm is over 10% higher than that of the standard algorithm, with a faster and more stable overall convergence speed. Additionally, the zero knowledge proof performance test results indicate that the verification delay in our proposed architecture is less than 500ms during the verification phase, meeting practical requirements. © 2025 IEEE.

关键词： Generative adversarial networks

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A Multi-Layer Parallelogram Flexure Architecture for Higher Out-of-Plane Load Bearing Stiffness

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Journal of Mechanical design 2025年第7期147卷 073302页

作者： Radgolchin, Moeen Rath, Siddharth Awtar, Shorya Precision Systems Design Lab Mechanical Engineering University of Michigan Ann ArborMI48109 United States

Parallelogram flexure mechanism (PFM) is a common flexure module that is widely used as a building block in the design and manufacturing of flexure-based XY motion stages that provide in-plane degrees-of-freedom (DoFs). In such motion stages, low in-plane stiffness along the DoF helps increase the DoF range of motion and reduce the actuation effort. At the same time, high out-of-plane stiffness is paramount to suppress out-of-plane parasitic motions, support heavy payloads, and mitigate the negative impacts of out-of-plane resonant modes. Achieving both of these design objectives simultaneously is extremely challenging in PFMs and flexure mechanisms comprising PFMs due to the inherent tradeoff between the in-plane and out-of-plane stiffnesses. This paper resolves this tradeoff by proposing a novel multi-layer PFM architecture, referred to as the sandwich PFM, that achieves significant improvements in the out-of-plane translational and rotational stiffnesses compared to conventional single-layer PFMs without impacting the in-plane DoF stiffness. Analytical models will be derived for the in-plane and out-of-plane stiffnesses of the sandwich PFM, which closely match the Finite Element Analysis (FEA) results. Several design insights into the performance of the sandwich PFM are discussed using the analytical stiffness models, and a general procedure is proposed to design a sandwich PFM. Copyright © 2025 by ASME.

关键词： Degrees of freedom (mechanics)

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design of a Web-based Thesaurus for systems of systems engineering

Design of a Web-based Thesaurus for Systems of Systems Engin...

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International Conference on System of systems engineering

作者： Vishal Barot Michael Henshaw Carys Siemieniuch Huseyin Dogan School of Electronic Electrical and Systems Engineering Engineering Systems of Systems (ESoS) Group Loughborough University LEU 3TU School of Design Engineering and Computing Software Systems Research Centre Bournemouth University

ISBN: (纸本)9781467355964

design of a web-based thesaurus for systems of systems engineering (SoSE) discipline is presented in this article. Due to lack of linguistic clarity within this emerging discipline, there is a strong need to represent and interpret SoS concepts and terms to align heterogeneous models, and tools and techniques developed for SoS operations, management and its governance. A Blackboard-based systems approach is therefore used to devise a model, providing a mechanism for high level organisation and sharing of knowledge and information within the SoSE thesaurus system. To illustrate its applicability, a scenario derived from realistic use cases is provided. The potential benefits of this research are identified and a brief description of intended further work is given.

关键词： Thesaurus systems of systems engineering Blackboard design thesaurus BLACKBOARD systems engineering and theory systems engineering

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systems engineering and Validation: A systematic literature review: Contributing to sustainability with validation 24

Systems Engineering and Validation: A systematic literature ...

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7th International Conference on Computational Intelligence and Intelligent systems, CIIS 2024

作者： Humpert, Lynn Zagatta, Kristin Anacker, Harald Dumitrescu, Roman Department of Systems Engineering Fraunhofer Institute for Mechatronic Systems Design North Rhine Westphalia Paderborn Germany Bl Advanced Systems Engineering Fraunhofer Institute for Mechatronic Systems Design North Rhine Westphalia Paderborn Germany

ISBN: (纸本)9798400717437

The European Green Deal is one of the key milestones in achieving the European Commission's sustainability goals. A key objective is to reduce the use of resources in order to reduce global emissions. Early validation of products is one way to reduce the need for late rework or modification of equipment, which in turn reduces the use of resources. It also has the benefit of reducing costs and the time-to-market, as late product changes require more resources and time. This is especially challenging for complex systems, where interconnects are often difficult to identify. For this reason, many companies use systems engineering as a design method to collaborate on products across departments and disciplines. Early validation and systems engineering are usually used separately, but research shows that the combination can provide an advantage in development, so a basis for linking them and further research needs to be identified. In this paper, a systematic literature review was conducted to identify approaches for early validation and systems engineering. It also examined the suitability of using these approaches in combination for product development and design of intelligent systems. This resulted in 49 potential methods being identified and evaluated according to requirements of the industry. They are discussed based on a concrete example in special purpose machinery in the production context of complex intelligent systems. © 2024 Copyright held by the owner/author(s).

关键词： Large scale systems

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Online Learning from Strategic Human Feedback in LLM Fine-Tuning

Online Learning from Strategic Human Feedback in LLM Fine-Tu...

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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Hao, Shugang Duan, Lingjie Pillar of Engineering Systems and Design Singapore University of Technology and Design Singapore

ISBN: (纸本)9798350368741

Reinforcement learning from human feedback (RLHF) has become an essential step in fine-tuning large language models (LLMs) to align them with human preferences. However, human labelers are selfish and have diverse preferences. They may strategically misreport their online feedback to influence the system's aggregation towards their own preferences. Current practice simply averages labelers' feedback per time and fails to identify the most accurate human labeler, leading to linear regret O(T) for T time slots. To our best knowledge, we are the first to study online learning mechanisms against strategic human labelers in the LLM fine-tuning process. We formulate a new dynamic Bayesian game and dynamically adjust human labelers' weights in the preference aggregation, ensuring their truthful feedback and sublinear regret O(T1/2). Simulation results demonstrate our mechanism's great advantages over the existing benchmark schemes. © 2025 IEEE.

关键词： LLM fine-tuning online learning regret analysis strategic human feedback truthful mechanism design

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Algorithm design for Continual Learning in IoT Networks

Algorithm Design for Continual Learning in IoT Networks

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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Hao, Shugang Duan, Lingjie Pillar of Engineering Systems and Design Singapore University of Technology and Design Singapore

ISBN: (纸本)9798350368741

Continual learning (CL) is a new online learning technique over sequentially generated streaming data from different tasks, aiming to maintain a small forgetting loss on previously-learned tasks. Existing work focuses on reducing the forgetting loss under a given task sequence. However, if similar tasks continuously appear to the end time, the forgetting loss is still huge on prior distinct tasks. In practical IoT networks, an autonomous vehicle to sample data and learn different tasks can route and alter the order of task pattern at increased travelling cost. To our best knowledge, we are the first to study how to opportunistically route the testing object and alter the task sequence in CL. We formulate a new optimization problem and prove it NP-hard. We propose a polynomial-time algorithm to achieve approximation ratios of 3/2 for underparameterized case and 2/3 +r1−T for overparameterized case, respectively. Simulation results verify our algorithm's close-to-optimum performance. © 2025 IEEE.

关键词： approximation algorithm design Continual learning IoT network task ordering

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