Academic literature on the topic 'Cyber-Physical Systems (CPSs)'

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Journal articles on the topic "Cyber-Physical Systems (CPSs)"

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Yan, He Hua, Jia Fu Wan, and Hui Suo. "Adaptive Resource Management for Cyber-Physical Systems." Applied Mechanics and Materials 157-158 (February 2012): 747–51. http://dx.doi.org/10.4028/www.scientific.net/amm.157-158.747.

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Cyber-physical systems (CPSs) perfectly integrate computing with physical processes, and the emergence of CPSs has attracted significant interest in recent years. In order to fully utilize system resource and improve quality of service (QoS), the innovative resource management method for CPSs is essential. According to a representative case of CPSs (e. g., unmanned vehicle with wireless sensor network navigation), we propose a hierarchical architecture for CPSs, and further establish a system performance optimization model with resource constraints. The particle swarm optimization (PSO) algorithm is applied to solve the considered constraint model. The simulation experiment results verify the efficiency of PSO algorithm, and some instructive proposals for promoting QoS are also outlined.
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Sadiku, Matthew N. O., Yonghui Wang, Suxia Cui, and Sarhan M. Musa. "Cyber-Physical Systems: A Literature Review." European Scientific Journal, ESJ 13, no. 36 (December 31, 2017): 52. http://dx.doi.org/10.19044/esj.2017.v13n36p52.

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Cyber-physical systems (CPSs) are smart systems that depend on the synergy of cyber and physical components. They link the physical world (e.g. through sensors, actuators, robotics, and embedded systems) with the virtual world of information processing. Applications of CPS have the tremendous potential of improving convenience, comfort, and safety in our daily life. This paper provides a brief introduction to CPSs and their applications.
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He, Xudong, Zhijiang Dong, Heng Yin, and Yujian Fu. "A Framework for Developing Cyber-Physical Systems." International Journal of Software Engineering and Knowledge Engineering 27, no. 09n10 (November 2017): 1361–86. http://dx.doi.org/10.1142/s0218194017400010.

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Cyber-physical systems (CPSs) are pervasive in our daily life from mobile phones to auto-driving cars. CPSs are inherently complex due to their sophisticated behaviors and thus difficult to build. In this paper, we propose a framework to develop CPSs based on a model-driven approach with quality assurance throughout the development process. An agent-oriented approach is used to model individual physical and computation processes using high-level Petri nets, and an aspect-oriented approach is used to integrate individual models. The Petri net models are systematically mapped to classes and threads in Java, which are enhanced and extended with domain-specific functionalities. Complementary quality assurance techniques are applied throughout system development and deployment, including simulation and model checking of design models, model checking of Java code, and runtime verification of Java executable. We demonstrate our framework using a car parking system.
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Abrahamsson, Pekka, Goetz Botterweck, Hadi Ghanbari, Martin Gilje Jaatun, Petri Kettunen, Tommi J. Mikkonen, Anila Mjeda, et al. "Towards a Secure DevOps Approach for Cyber-Physical Systems." International Journal of Systems and Software Security and Protection 11, no. 2 (July 2020): 38–57. http://dx.doi.org/10.4018/ijsssp.2020070103.

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With the expansion of cyber-physical systems (CPSs) across critical and regulated industries, systems must be continuously updated to remain resilient. At the same time, they should be extremely secure and safe to operate and use. The DevOps approach caters to business demands of more speed and smartness in production, but it is extremely challenging to implement DevOps due to the complexity of critical CPSs and requirements from regulatory authorities. In this study, expert opinions from 33 European companies expose the gap in the current state of practice on DevOps-oriented continuous development and maintenance. The study contributes to research and practice by identifying a set of needs. Subsequently, the authors propose a novel approach called Secure DevOps and provide several avenues for further research and development in this area. The study shows that, because security is a cross-cutting property in complex CPSs, its proficient management requires system-wide competencies and capabilities across the CPSs development and operation.
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Zeadally, Sherali, Teodora Sanislav, and George Dan Mois. "Self-Adaptation Techniques in Cyber-Physical Systems (CPSs)." IEEE Access 7 (2019): 171126–39. http://dx.doi.org/10.1109/access.2019.2956124.

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Feng, Jun, Laurence T. Yang, Yuxiang Zhu, Nicholaus J. Gati, and Yijun Mo. "Blockchain-enabled Tensor-based Conditional Deep Convolutional GAN for Cyber-physical-Social Systems." ACM Transactions on Internet Technology 21, no. 2 (June 21, 2021): 1–17. http://dx.doi.org/10.1145/3404890.

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Deep learning techniques have shown significant success in cyber-physical-social systems (CPSS). As an instance of deep learning models, generative adversarial nets (GAN) model enables powerful and flexible image augmentation, image generation, and classification, thus can be applied to real-world CPSS settings. GAN model training needs a large collection of cyber-physical-social data originating from various CPSS devices. Numerous prevailing GAN models depend on a tacit assumption that several cyber-physical-social data providers present a reliable source to collect training data, which is seldom the case in real CPSS. The existing GAN models also fail to consider multi-dimensional latent structure. In our work, we put forward a novel blockchain-enabled tensor-based conditional deep convolutional GAN (TCDC-GAN) model for cyber-physical-social systems. The blockchain is employed to develop a decentralized and reliable cyber-physical-social data-sharing platform between numerous cyber-physical-social data providers, such that the training data and the model are documented on a ledger that is distributed. Furthermore, a tensor-based generator and a tensor-based discriminator are well designed by employing the tensor model. The results of extensive simulation experiments show the efficacy of the proposed TCDC-GAN model. Compared with the state-of-the-art models, our model gains superior estimation performance.
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Kumar, Amit. "Cyber Physical Systems (CPSs) – Opportunities and Challenges for Improving Cyber Security." International Journal of Computer Applications 137, no. 14 (March 22, 2016): 19–27. http://dx.doi.org/10.5120/ijca2016908877.

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Rajamäki, Jyri, and Rauno Pirinen. "Design science research towards resilient cyber-physical eHealth systems." Finnish Journal of eHealth and eWelfare 9, no. 2-3 (May 21, 2017): 203. http://dx.doi.org/10.23996/fjhw.61000.

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Most eHealth systems are cyber-physical systems (CPSs) making safety-critical decisions based on information from other systems not known during development. In this design science research, a conceptual resilience governance framework for eHealth CPSs is built utilizing 1) cybersecurity initiatives, standards and frameworks, 2) science of design for software-intensive systems and 3) empowering cyber trust and resilience. According to our study, a resilient CPS consists of two sub-systems: the proper resilient system and the situational awareness system. In a system of CPSs, three networks are composed: platform, software and social network. The resilient platform network is the basis on which information sharing between stakeholders could be created via software layers. However, the trust inside social networks quantifies the pieces of information that will be shared - and with whom. From citizens’ point of view, eHealth is wholeness in which requirements of information security hold true. Present procedures emphasize confidentiality at the expense of integrity and availability, and regulations/instructions are used as an excuse not to change even vital information. The mental-picture of cybersecurity should turn from “threat, crime, attack” to “trust” and “resilience”. Creating confidence in safe digital future is truly needed in the integration of the digital and physical world’s leading to a new digital revolution. The precondition for the exchange of information “trust” must be systematically built at every CPS’ level. In health sector, increasingly interconnected social, technical and economic networks create large complex CPSs, and risk assessment of many individual components becomes cost and time prohibitive. When no-one can control all aspects of CPSs, protection-based risk management is not enough to help prepare for and prevent consequences of foreseeable events, but resilience must be built into systems to help them quickly recover and adapt when adverse events do occur.
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Zivi, Edwin. "Teaching Cyber-Physical Systems." Mechanical Engineering 139, no. 03 (March 1, 2017): S3—S8. http://dx.doi.org/10.1115/1.2017-mar-4.

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This article discusses various aspects of a course on cyber-physical systems (CPS) in the educational programs of defense organizations. CPS are engineered systems that are built from, and depend upon, the seamless integration of computational algorithms and physical components. The article also highlights various objectives of the CPS course. A central challenge to deploying resilient CPSs involves the appreciation for the multi-disciplinary challenges and the lack of a unified framework for CPS analysis, design and implementation. A significant part of the course focuses on a case study in industrial control of a Vinyl Acetate (VAc) chemical plant. The course described herein presents fundamental concepts within the rapidly expanding field of CPS and has been tailored to and is well received by U.S. Naval Academy Systems Engineering senior level engineering students. The U.S. Naval Academy thrust in cyber security studies includes a new major, Cyber Sciences, and construction of a new facility, Hopper Hall, to house the assembled multi-disciplinary teaching and research team.
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Jacobs, Nicholas, Shamina Hossain-McKenzie, and Adam Summers. "Modeling Data Flows with Network Calculus in Cyber-Physical Systems: Enabling Feature Analysis for Anomaly Detection Applications." Information 12, no. 6 (June 19, 2021): 255. http://dx.doi.org/10.3390/info12060255.

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The electric grid is becoming increasingly cyber-physical with the addition of smart technologies, new communication interfaces, and automated grid-support functions. Because of this, it is no longer sufficient to only study the physical system dynamics, but the cyber system must also be monitored as well to examine cyber-physical interactions and effects on the overall system. To address this gap for both operational and security needs, cyber-physical situational awareness is needed to monitor the system to detect any faults or malicious activity. Techniques and models to understand the physical system (the power system operation) exist, but methods to study the cyber system are needed, which can assist in understanding how the network traffic and changes to network conditions affect applications such as data analysis, intrusion detection systems (IDS), and anomaly detection. In this paper, we examine and develop models of data flows in communication networks of cyber-physical systems (CPSs) and explore how network calculus can be utilized to develop those models for CPSs, with a focus on anomaly and intrusion detection. This provides a foundation for methods to examine how changes to behavior in the CPS can be modeled and for investigating cyber effects in CPSs in anomaly detection applications.
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Dissertations / Theses on the topic "Cyber-Physical Systems (CPSs)"

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Kavuri, Ajay Krishna Teja. "Information Centric Strategies for Scalable Data Transport in Cyber Physical Systems (CPSs)." Thesis, West Virginia University, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10276185.

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Cyber-Physical Systems (CPSs) represent the next generation of computing that is ubiquitous, wireless and intelligent. These networked sens- ing systems are at the intersection of sensing, communication, control, and computing [16]. Such systems will have applications in numerous elds such as vehicular systems and transportation, medical and health care systems, smart homes and buildings, etc. The proliferation of such sensing systems will trigger an exponential increase in the computational devices that exchange data over existing network infrastructure.

Transporting data at scale in such systems is a challenge [21] mainly due to the underlying network infrastructure which is still resource con- strained and bandwidth-limited. Eorts have been made to improve the network infrastructure [5] [2] [15]. The focus of this thesis is to put forward information-centric strategies that optimize the data transport over existing network infrastructure.

This thesis proposes four dierent information-centric strategies: (1) Strategy to minimize network congestion in a generic sensing system by estimating data with adaptive updates, (2) An adaptive information exchange strategy based on rate of change of state for static and mobile networks, (3) Spatio-temporal strategy that maintains spatial resolution by reducing redundant transmissions, (4) Proximity-dependent data transfer strategy to ensure most updated information in high-density regions. Each of these strategies is experimentally veried to optimize the data transport in their respective setting.

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Guermazi, Sahar. "Model-driven co-simulation of Cyber-Physical Systems." Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLS333/document.

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Les CPS intègrent des composants physiques et des composants logiciels. Ils sont particulièrement difficiles à modéliser et à vérifier. En effet, de par la nature hétérogène de leurs composants, leur conception nécessite l’utilisation de différents formalismes de modélisation. Les modèles de ces systèmes combinent à la fois des formalismes à temps continu, et d’autres à événements discrets, pour représenter respectivement leurs composants physiques et logiciels. La vérification de l'ensemble du système nécessite donc la composition de ces composants. La vérification globale peut être réalisée par co-simulation des différents composants. En particulier, la norme FMI offre une interface normative pour coupler plusieurs simulateurs dans un environnement de co-simulation, nommé « Master ». Celui-ci est chargé de fournir un algorithme pour une synchronisation efficace des différents composants du système, nommés FMU. Cependant, FMI est initialement conçu pour la co-simulation des processus physiques, avec un support limité des formalismes à événements discrets qui est modèle de calcul et de communication largement utilisé dans les environnements de modélisation spécifiques au logiciel. En particulier, aucune des solutions actuelles de co-simulation basées sur FMI ne permet de le prendre en considération les modèle UML. La thèse défendue dans ce document est que l'ingénierie système en général bénéficierait de l’intégration des modèles UML dans une approche de co-simulation basée sur la norme FMI. Cela permettra à un grand nombre de concepteurs logiciels d’évaluer le comportement de leurs composants logiciels dans un environnement simulé, et donc de les aider à faire les meilleurs choix de conception le plus tôt possible dans leur processus de développement. Cela pourrait également ouvrir de nouvelles perspectives intéressantes pour les ingénieurs système des CPS, en leur permettant d'envisager l’utilisation d’un langage largement utilisé pour la modélisation des composants logiciels de leurs systèmes. L'objectif de cette thèse est de définir et formaliser un environnement de co-simulation basé sur la norme FMI pour les CPS et intégrant des modèles UML pour la partie logicielle. Nous abordons principalement la question d’adaptation entre la sémantique d’exécution définie dans UML et celle de FMI. Notre contribution intervient à deux niveaux : localement, au niveau des modèles UML, et globalement au niveau du « Master ». Localement, nous mettons en place une approche incrémentale où nous abordons différents types de systèmes à événements discrets caractérisant les composants logiciels. Nous basons nos propositions sur les normes OMG fUML et PSCS qui définissent une sémantique d’exécution précise pour un sous-ensemble de UML. Ces deux normes constitue notre socle de définition nous donne une base intéressante et formelle pour l'intégration des modèles UML dans les approches de co-simulation de CPS. Pour chaque type de système, nous identifions d'abord un ensemble de règles pour le modéliser avec UML et les éventuelles extensions à fUML dans le cas où la sémantique d'exécution des éléments UML requis n’est pas définie dans fUML. Ensuite, au niveau global, nous proposons un algorithme de « Master » pour chaque type de systèmes. Les algorithmes de « Master » reposent sur l'adaptation de la sémantique d’exécution des modèles UML et celle de FMI. Sur cette base, le « Master » est capable de propager les données entre les composants et de les stimuler aux bonnes dates durant la simulation. L'approche est illustrée par des cas d'utilisation du domaine des bâtiments intelligents, où l’objectif est d’évaluer différentes stratégies de gestion d'énergie. Ces stratégies représentent des composants logiciels à différents niveaux de contrôle d’un bâtiment pour des fins d’optimisation de son auto-consommation en électricité
Cyber Physical Systems (CPS) are integrations of physical and computational components. CPS are difficult to model and verify because the heterogeneous nature of their components requires many different modeling formalisms. The global verification of the system can be achieved by co-simulation. FMI standard offers a standard interface to couple two or more simulators in a co-simulation environment, known as master. This latter is responsible for providing an algorithm with efficient orchestration and synchronization of the involved components, known as FMUs. However, FMI was originally intended for co-simulation of physical processes, with limited support for formalisms such as DE and Dara-Flow, even if this kind of formalisms are commonly used to model the logic of software parts of a system. In particular, while UML is the reference standard for software modeling and is very commonly used in industry, none of the present-day FMI-based co-simulation solutions consider UML models. Our thesis is that system engineering in general would greatly benefit from the consideration of UML in FMI-based co-simulation approach. It would indeed enable a significant number of software designers to evaluate the behavior of their software components in their simulated environment, as soon as possible in their development processes, and therefore make early and better design decisions. It would also open new interesting perspectives for CPS system engineers, by allowing them to consider a widely used modeling language for the software parts of their systems. In this context, the objective of this work is to define an FMI-based co-simulation environment for CPS with integration of UML models for software part. Our contribution is twofold: locally at the level of UML models, and globally at the master level. At the local level, we set up an incremental approach where we address different kinds of discrete event systems characterizing the computational components. We base our proposals on OMG standards fUML and PSCS which define precise execution semantics for a subset of UML. They provide an interesting and formal basis for the integration of UML models in CPSs co-simulation approaches. For each kind of system, we first identify a set of rules to model it with UML and potential extensions to fUML in case where execution semantics of the required UML elements are not defined by fUML. Then, at the global level, we propose a master algorithm for each kind of systems. The proposed masters take into account not only external and internal dependencies between components and their capabilities, but also and especially their models of time. They rely on adaptation of fUML semantics to that of the FMI API. Based on these adaptations, the master algorithm is able both to propagate data between components and to trigger them at the correct points of time. The approach is illustrated with use cases from the energy domain where the purpose is to verify energy management strategies defined as software components at different levels of the control module of an energy system
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Meno, Emma Margaret. "Neural Cryptanalysis for Cyber-Physical System Ciphers." Thesis, Virginia Tech, 2021. http://hdl.handle.net/10919/103373.

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A key cryptographic research interest is developing an automatic, black-box method to provide a relative security strength measure for symmetric ciphers, particularly for proprietary cyber-physical systems (CPS) and lightweight block ciphers. This thesis work extends the work of the recently-developed neural cryptanalysis method, which trains neural networks on a set of plaintext/ciphertext pairs to extract meaningful bitwise relationships and predict corresponding ciphertexts given a set of plaintexts. As opposed to traditional cryptanalysis, the goal is not key recovery but achieving a mimic accuracy greater than a defined base match rate. In addition to reproducing tests run with the Data Encryption Standard, this work applies neural cryptanalysis to round-reduced versions and components of the SIMON/SPECK family of block ciphers and the Advanced Encryption Standard. This methodology generated a metric able to rank the relative strengths of rounds for each cipher as well as algorithmic components within these ciphers. Given the current neural network suite tested, neural cryptanalysis is best-suited for analyzing components of ciphers rather than full encryption models. If these models are improved, this method presents a promising future in measuring the strength of lightweight symmetric ciphers, particularly for CPS.
Master of Science
Cryptanalysis is the process of systematically measuring the strength of ciphers, algorithms used to secure data and information. Through encryption, a cipher is applied to an original message or plaintext to generate muddled message or ciphertext. The inverse of this operation, translating ciphertext back into plaintext, is decryption. Symmetric ciphers only require one shared secret key that is used during for both encryption and decryption. Machine learning is a data analysis method that automates computers to learn certain data properties, which can be used to predict outputs given a set of inputs. Neural networks are one type of machine learning used to uncover relationships, chaining a series of nodes together that individually perform some operations to determine correlations. The topic of this work is neural cryptanalysis, a new approach to evaluate cipher strength relying on machine learning. In this method, the goal is to "learn" the ciphers, using machine learning to predict what the ciphertext will be for an inputted plaintext. This is done by training the networks on plaintext/ciphertext pairs to extract meaningful relationships. If a cipher is easier to predict, it is easier to crack and thus less secure. In this work, neural cryptanalysis was applied to different real-world symmetric ciphers to rank their relatively security. This technique worked best on analyzing smaller components of the cipher algorithms rather than the entire cipher, as the ciphers were complex and the neural networks were simpler.
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Graziano, Timothy Michael. "Establishment of a Cyber-Physical Systems (CPS) Test Bed to Explore Traffic Collision Avoidance System (TCAS) Vulnerabilities to Cyber Attacks." Thesis, Virginia Tech, 2021. http://hdl.handle.net/10919/104624.

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Traffic Collision Avoidance Systems (TCAS) are safety-critical, unauthenticated, ranging systems required in commercial aircraft. Previous work has proposed TCAS vulnerabilities to attacks from malicious actors with low cost software defined radios (SDR) and inexpensive open-source software (GNU radio) where spoofing TCAS radio signals in now possible. This paper outlines a proposed threat model for several TCAS vulnerabilities from an adversarial perspective. Periodic and aperiodic attack models are explored as possible low latency solutions to spoof TCAS range estimation. A TCAS test bed is established with commercial avionics to demonstrate the efficacy of proposed vulnerabilities. SDRs and Vector Waveform Generators (VWGs) are used to achieve desired latency. Sensor inputs to the TCAS system are spoofed with micro-controllers. These include Radar Altimeter, Barometric Altimeter, and Air Data Computer (ADC) heading and attitude information transmitted by Aeronautical Radio INC (ARINC) 429 encoding protocol. TCAS spoofing is attempted against the test bed and analysis conducted on the timing results and test bed performance indicators. The threat model is analyzed qualitatively and quantitatively.
Master of Science
Traffic Collision Avoidance Systems (TCAS), or Airborne Collision Avoidance Systems ACAS), are safety-critical systems required by the Federal Aviation Administration (FAA) in commercial aircraft. They work by sending queries to surrounding aircraft in the form of radio transmission. Aircraft in the who receive these transmissions send replies. Information in these replies allow the TCAS system to determine if a nearby aircraft may travel too close to itself. TCAS can then determine help both pilots avoid a mid-air collision. Information in the messages can be faked by a malicious actor. To explore these vulnerabilities a test bed is built with commercial grade TCAS equipment. Several types of attacks are evaluated.
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Pelixo, Dário Miguel da Silva. "CPPS-3D: a methodology to support cyber physical production systems design, development and deployment." Master's thesis, Instituto Politécnico de Setúbal. Escola Superior de Tecnologia de Setúbal, 2019. http://hdl.handle.net/10400.26/31368.

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Master’s dissertation in Production Engineering
Cyber-Physical Production Systems are widely recognized as the key to unlock the full potential benefits of the Industry 4.0 paradigm. Cyber-Physical Production Systems Design, Development and Deployment methodology is a systematic approach in assessing necessities, identifying gaps and then designing, developing and deploying solutions to fill such gaps. It aims to support and drive enterprise’s evolution to the new working environment promoted by the availability of Industry 4.0 paradigms and technologies while challenged by the need to increment a continuous improvement culture. The proposed methodology considers the different dimensions within enterprises related with their levels of organization, competencies and technology. It is a two-phased sequentially-stepped process to enable discussion, reflection/reasoning, decision-making and action-taking towards evolution. The first phase assesses an enterprise across its Organizational, Technological and Human dimensions. The second phase establishes sequential tasks to successfully deploy solutions. Is was applied to a production section at a Portuguese enterprise with the development of a new visual management system to enable shop floor management. This development is presented as an example of Industry 4.0 technology and it promotes a faster decision-making, better production management, improved data availability as well as fosters more dynamic workplaces with enhanced reactivity to problems.
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Maurer, Simon. "Analysis and coordination of mixed-criticality cyber-physical systems." Thesis, University of Hertfordshire, 2018. http://hdl.handle.net/2299/21094.

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A Cyber-physical System (CPS) can be described as a network of interlinked, concurrent computational components that interact with the physical world. Such a system is usually of reactive nature and must satisfy strict timing requirements to guarantee a correct behaviour. The components can be of mixed-criticality which implies different progress models and communication models, depending whether the focus of a component lies on predictability or resource efficiency. In this dissertation I present a novel approach that bridges the gap between stream processing models and Labelled Transition Systems (LTSs). The former offer powerful tools to describe concurrent systems of, usually simple, components while the latter allow to describe complex, reactive, components and their mutual interaction. In order to achieve the bridge between the two domains I introduce the novel LTS Synchronous Interface Automaton (SIA) that allows to model the interaction protocol of a process via its interface and to incrementally compose simple processes into more complex ones while preserving the system properties. Exploiting these properties I introduce an analysis to identify permanent blocking situations in a network of composed processes. SIAs are wrapped by the novel component-based coordination model Process Network with Synchronous Communication (PNSC) that allows to describe a network of concurrent processes where multiple communication models and the co-existence and interaction of heterogeneous processes is supported due to well defined interfaces. The work presented in this dissertation follows a holistic approach which spans from the theory of the underlying model to an instantiation of the model as a novel coordination language, called Streamix. The language uses network operators to compose networks of concurrent processes in a structured and hierarchical way. The work is validated by a prototype implementation of a compiler and a Run-time System (RTS) that allows to compile a Streamix program and execute it on a platform with support for ISO C, POSIX threads, and a Linux operating system.
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Katzenbach, Alfred, and Holger Frielingsdorf. "Big Data Analytics für die Produktentwicklung." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-214517.

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Aus der Einleitung: "Auf der Hannovermesse 2011 wurde zum ersten Mal der Begriff "Industrie 4.0" der Öffentlichkeit bekannt gemacht. Die Akademie der Technikwissenschaften hat in einer Arbeitsgruppe diese Grundidee der vierten Revolution der Industrieproduktion weiterbearbeitet und 2013 in einem Abschlussbericht mit dem Titel „Umsetzungsempfehlungen für das Zukunftsprojekt Industrie 4.0“ veröffentlicht (BmBF, 2013). Die Grundidee besteht darin, wandlungsfähige und effiziente Fabriken unter Nutzung moderner Informationstechnologie zu entwickeln. Basistechnologien für die Umsetzung der intelligenten Fabriken sind: — Cyber-Physical Systems (CPS) — Internet of Things (IoT) und Internet of Services (IoS) — Big Data Analytics and Prediction — Social Media — Mobile Computing Der Abschlussbericht fokussiert den Wertschöpfungsschritt der Produktion, während die Fragen der Produktentwicklung weitgehend unberücksichtigt geblieben sind. Die intelligente Fabrik zur Herstellung intelligenter Produkte setzt aber auch die Weiterentwicklung der Produktentwicklungsmethoden voraus. Auch hier gibt es einen großen Handlungsbedarf, der sehr stark mit den Methoden des „Modellbasierten Systems-Engineering“ einhergeht. ..."
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Jagtap, Vinayak. "Cyber Physical System for Continuous Evaluation of Fall Risks to Enable Aging-In-Place." Digital WPI, 2015. https://digitalcommons.wpi.edu/etd-theses/508.

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Every year, one out of three adults over the age of 65 falls, and about 30% of the falls result in moderate to severe injuries. The high rate of fall-related hospitalizations and the fact that falls are a major source of morbidity and mortality in older adults have motivated extensive interdisciplinary clinical and engineering research with a focus on fall prevention. This research is aimed at developing a medical Cyber Physical System (CPS) composed of a human supervised mobile robot and ambient intelligence sensors to provide continuous evaluation of environmental risks in the home. As a preventive measure to avoid falls, we propose use of mobile robots to detect possible fall risks inside a house. As a step-up to that, we also define a control framework for intelligent, networked mobile robots to semi-autonomously perform assistive and preventive tasks. This framework is integrated in a smart home that provides monitoring and control capabilities of environmental conditions such as objects blocking pathways or uneven surfaces. The main outcome of this work is the realization of this system at Worcester Polytechnic Institute's (WPI) @Home testbed.
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Gries, Stefan [Verfasser], and Volker [Akademischer Betreuer] Gruhn. "Information Flow Monitoring in Cyber-Physical Systems : Nachvollziehen von Cascading Data Corruption in CPS / Stefan Gries ; Betreuer: Volker Gruhn." Duisburg, 2021. http://d-nb.info/1237221501/34.

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Theiss, Sebastian. "Echtzeitfähige Softwareagenten zur Realisierung cyber-physischer Produktionssysteme." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-211768.

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Aktuelle ökonomische Trends, wie die zunehmende Globalisierung und die wachsende Technisierung und Individualisierung vieler Konsumgüter, führen im Hinblick auf die zur Fertigung dieser Güter eingesetzte Automatisierungstechnik zu steigender Komplexität und hohen Flexibilitätsanforderungen. Ein Konzept zur Adressierung dieser Anforderungen ist die Auslegung von automatisierten Anlagen als modulares System flexibel kombinierbarer cyber-physischer Komponenten. Die namensgebende Einheit von mechatronischem Bauteil und lokaler Rechenkapazität ermöglicht Herstellern solcher Komponenten, Softwarebausteine für typische Steuer-, Bedien- oder Diagnoseaufgaben gebrauchsfertig vorzubereiten und so den (Re-)Engineeringaufwand bei der (Um-)Gestaltung des Gesamtsystems deutlich zu reduzieren. Allerdings stellt diese Vision hohe Ansprüche an die zugrundeliegende Softwarearchitektur, die von den derzeit zur Realisierung automatisierter Systeme eingesetzten Technologien nicht vollständig erfüllt werden. Das Paradigma der Agentenorientierung ist ein tragfähiger Ansatz zur Realisierung solcher lose gekoppelten verteilten Systeme und stellt durch leistungsfähige Interaktionsmechanismen sowie die enge Integration von semantischem Wissen zusätzliche Funktionalität in Aussicht: Als Agenten ausgelegte Komponenten könnten auch die logische Vernetzung untereinander während der Inbetriebnahme, nach Umrüstungen oder in Reaktion auf Betriebsstörungen teilweise selbst übernehmen. Dadurch ergeben sich Fähigkeiten wie Selbstkonfiguration und Selbstregeneration, die in der Fachliteratur unter dem Begriff Self-X zusammengefasst werden. Die fehlende Echtzeitfähigkeit, insbesondere in Bezug auf besagte Interaktionsmechanismen, hat jedoch bisher die Einsetzbarkeit von Agentensystemen in der Automatisierung limitiert und die Ausschöpfung der genannten Potentiale behindert. Deshalb wird in dieser Dissertation eine echtzeitfähige Laufzeitumgebung für Softwareagenten entworfen und anschließend die Überarbeitung bestehenden Kommunikationsmechanismen im Hinblick auf ihre Echtzeitfähigkeit vorgenommen. In diesem Kontext wird mit dem Konzept der semantischen Adressierung eine vielfältig einsetzbare Möglichkeit geschaffen, Nachrichten an ausgewählte Gruppen von Agenten mit bestimmten, semantisch beschriebenen Eigenschaften zur verschicken. Die dabei zur Wissensrepräsentation genutzten Taxonomie-Bäume bieten ein für viele Aufgabenstellungen ausreichendes Maß an Ausdrucksstärke und erlauben zudem die Verarbeitung unter harten Echtzeitbedingungen. Abschließend werden die geschaffenen Mechanismen in einem Antwortzeitmodell abgebildet, mit dem das rechtzeitige Reagieren eines Agentensystems auf lokal oder verteilt zu behandelnde Ereignisse überprüft und nachgewiesen werden kann. Damit wird ein Hauptkritikpunkt von Agentensystemen adressiert, was zu einer nachhaltigen Steigerung der Akzeptanz des Agentenparadigmas führen könnte. Während große Teile der erarbeiten Lösung als allgemeingültige Grundlagenforschung verstanden werden können, wird bei der Formulierung von Anforderungen, der Darstellung von Beispielen und der Erläuterung von Entwurfsentscheidungen immer wieder auf automatisierungstechnische Belange Bezug genommen. Außerdem wird am Ende der Arbeit eine kritische Bewertung der Ergebnisse vor dem Hintergrund eines möglichen Einsatzes in zukünftigen Automatisierungssystemen durchgeführt und damit das Gesamtbild abgerundet.
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Books on the topic "Cyber-Physical Systems (CPSs)"

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Kagaku Gijutsu Shinkō Kikō. Kenkyū Kaihatsu Senryaku Sentā. Denshi Jōhō Tsūshin Yunitto. CPS (Cyber Physical Systems) kiban gijutsu no kenkyū kaihatsu to sono shakai e no dōnyū ni kansuru teian: Kōreisha no shakai sanka sokushin o jirei to shite = Research and development on fundamental technologies of cyber physical systems and their social implementation : a case study on promoting aged people to social activities. Tōkyō-to Chiyoda-ku: Kagaku Gijutsu Shinkō Kikō Kenkyū Kaihatsu Senryaku Sentā Denshi Jōhō Tsūshin Yunitto, 2013.

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Staff, IEEE. 2022 Workshop on Cyber Physical Systems for Emergency Response (CPS ER). IEEE, 2022.

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Staff, IEEE. 2022 Workshop on Benchmarking Cyber Physical Systems and Internet of Things (CPS IoTBench). IEEE, 2022.

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Staff, IEEE. 2022 2nd International Workshop on Cyber Physical Human System Design and Implementation (CPHS). IEEE, 2022.

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Agrawal, Dharma P., Kuan-Ching Li, and Brij B. Gupta. Recent Advances in Security, Privacy, and Trust for Internet of Things (IoT) and Cyber-Physical Systems (CPS). Taylor & Francis Group, 2020.

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Agrawal, Dharma P., Kuan-Ching Li, and Brij B. Gupta. Recent Advances in Security, Privacy, and Trust for Internet of Things (IoT) and Cyber-Physical Systems (CPS). Taylor & Francis Group, 2020.

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Recent Advances in Security, Privacy, and Trust for Internet of Things (IoT) and Cyber-Physical Systems (CPS). Taylor & Francis Group, 2020.

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Agrawal, Dharma P., Kuan-Ching Li, and Brij B. Gupta. Recent Advances in Security, Privacy, and Trust for Internet of Things (IoT) and Cyber-Physical Systems (CPS). Taylor & Francis Group, 2020.

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Agrawal, Dharma P., Kuan-Ching Li, and Brij Gupta. Recent Advances in Security Privacy and Trust for Internet-Of-things (iot) and Cyber-physical Systems (cps). Taylor & Francis Group, 2020.

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Staff, IEEE. 2022 2nd Workshop on Data Driven and Intelligent Cyber Physical Systems for Smart Cities Workshop (DI CPS). IEEE, 2022.

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Book chapters on the topic "Cyber-Physical Systems (CPSs)"

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Wang, Yong, and Jason Nikolai. "Key Management in CPSs." In Security and Privacy in Cyber-Physical Systems, 117–36. Chichester, UK: John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781119226079.ch6.

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de la Torre, Eduardo. "Adaptivity and Self-awareness of CPSs and CPSoSs." In Heterogeneous Cyber Physical Systems of Systems, 37–60. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003338390-3.

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Wu, Chengwei, Weiran Yao, Guanghui Sun, and Ligang Wu. "Learning Tracking Control for CPSs." In Security of Cyber-Physical Systems: State Estimation and Control, 61–87. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-88350-8_4.

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Wu, Chengwei, Weiran Yao, Guanghui Sun, and Ligang Wu. "Proactive Secure Control for CPSs." In Security of Cyber-Physical Systems: State Estimation and Control, 181–213. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-88350-8_9.

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Wu, Chengwei, Weiran Yao, Guanghui Sun, and Ligang Wu. "Optimal DoS Attack Scheduling for CPSs." In Security of Cyber-Physical Systems: State Estimation and Control, 15–32. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-88350-8_2.

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Asavoae, Mihail, Imane Haur, Mathieu Jan, Belgacem Ben Hedia, and Martin Schoeberl. "Towards Formal Co-validation of Hardware and Software Timing Models of CPSs." In Cyber Physical Systems. Model-Based Design, 203–27. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41131-2_10.

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Nehinbe, Joshua Ojo. "A Model for Auditing Smart Intrusion Detection Systems (IDSs) and Log Analyzers in Cyber-Physical Systems (CPSs)." In Security in Cyber-Physical Systems, 123–53. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67361-1_5.

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Wu, Chengwei, Weiran Yao, Guanghui Sun, and Ligang Wu. "Secure Estimation for CPSs via Sliding Mode." In Security of Cyber-Physical Systems: State Estimation and Control, 135–60. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-88350-8_7.

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Wu, Chengwei, Weiran Yao, Guanghui Sun, and Ligang Wu. "Active Defense Control of CPSs via Sliding Mode." In Security of Cyber-Physical Systems: State Estimation and Control, 33–60. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-88350-8_3.

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Zhang, Jinhui, Yuanqing Xia, Zhongqi Sun, and Duanduan Chen. "Observer-Based Event-Triggered Control for CPSs." In Networked and Event-Triggered Control Approaches in Cyber-Physical Systems, 97–110. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003260882-8.

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Conference papers on the topic "Cyber-Physical Systems (CPSs)"

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Rosen, David W., and Young Mi Choi. "Generative Design of Cyber-Physical-Human System Families: Concepts and Research Issues." In ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/detc2022-91265.

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Abstract Cyber-physical-social systems (CPSS) are typically considered as an evolution of cyber-physical systems to include human interactions; further, that interactions among humans through CPSS can lead to emergence of social or community structures and behaviors. Cyber-physical-human systems (CPHS) can be considered as subsets of CPSS that are smart products that offer services to its customer, supported by back-end systems (e.g., information, finance) and other infrastructure. In this paper, initial concepts and research issues are presented regarding the design of CPHS families and generations of these families. Significant research gaps are identified that should drive future research directions. Potential impacts of filling those gaps provide motivation for the development of a design methodology for CPHS. The approach proposed here is a novel combination of generative and configuration design methods with product family design methodology. With this approach, a wide variety of CPHS, including customized CPHS, can be developed quickly by sharing technologies and modules across CPHS family members. Further, the foundation is provided for the evolution of CPHS families; for example, deciding when to add a new family member, when to design a new CPHS family platform, or when the current CPHS family can no longer be supported and a new family developed. The domain of assistive technology is used in this paper to provide an example field of practice that could benefit from a systematic design methodology and opportunities to leverage technology solutions.
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van Beek, Anton. "A Decision-Centric Perspective on Evolving Cyber-Physical-Social Systems: Effectiveness, Group Value, and Opportunities." In ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/detc2022-90161.

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Abstract In this paper, we view evolving cyber-physical-social systems (CPSSs) from a group decision-making perspective, introduce the group value concept as a potential approach to improve their effectiveness, and conclude by identifying a set of research directions for further scientific inquiry. An evolving CPSS is a system in which the digital and physical spaces adapt to changing interests in the social space. In this paper, we introduce the group value concept as an approach to balancing the interests of individuals in the social space and deciding how a CPSS should evolve. The advantages afforded by the group value concept are twofold: (i) it enables CPSSs to evolve along with the interests of the social space, and (ii) it provides transparency in the decision-making process that will improve public support. The group value is a stochastic function that is constructed by modeling the distributions of individual value functions and shares a similarity with utility-theory and normative models for group decision-making. Through analysis of the introduced framework, we show: (i) how the group value concept can be used to bring about evolving CPSSs, (ii) introduce the difference between utility theory and normative models for group decision-making, (iii) define the conditions under which the introduced evolving CPSSs framework is valid, and (iv) delineate a set of four research areas for further scientific inquiry. The motivation for delineating a set of additional research challenges comes from the observation that group decisions violate the conditions of logical decision-making that can only be satisfied for an individual’s decisions. Consequently, establishing an agent that controls the evolution of a CPSS needs to consider the consequences of violating these conditions on the effectiveness of the decision. Through continued research in the identified decision-centric research areas, evolving CPPSs can be established to address many societal challenges and will be more effective as they enjoy broader public support.
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Opiyo, Eliab Z., and Imre Horváth. "Feature-Based Prognosis of Performance and Cost Implications of Cyber-Physical Systems: An Illustration of Theory and Process." In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-34343.

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Prognosis and planning for the future life cycles is critical for both customers and developers of complex systems such as cyber-physical systems (CPSs). There are often uncertainties regarding the eventual costs and performances of CPSs. Having in advance a clear sense of the expected costs and performance is vital in the early development phases for decisions on, e.g., which functional features the CPS should have, whether to proceed with the development process, or whether to own a CPS or product. We focus specifically on prognosis of functional performance and cost implications of CPSs. The problem is that the available forecasting approaches cannot be used straightaway to tradeoff between costs and benefits, or to predict the benefits of investment in the early phases of the processes of development of CPSs. As a first step in an attempt to deal with these challenges, we have developed a feature-based reference scheme for deriving aspects and criteria for forecasting functional performance and cost implications of CPSs. We illustrate the applicability of the proposed scheme in this paper. We used this scheme as the basis for deriving the aspects and criteria for forecasting functional performance and cost implications of a cyber-physical printing utility. The scheme provided a systematic way of acquiring and formulating the aspects and criteria, and of figuring out the features that a cyber-physical printing utility should encompass. Overall, it helps to reduce the chance of overlooking the aspects and criteria.
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Wang, Yan. "Design of Trustworthy Cyber-Physical-Social Systems With Discrete Bayesian Optimization." In ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/detc2020-22661.

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Abstract Cyber-physical-social systems (CPSS) with highly integrated functions of sensing, actuation, computation, and communication are becoming the mainstream consumer and commercial products. The performance of CPSS heavily relies on the information sharing between devices. Given the extensive data collection and sharing, security and privacy are of major concerns. Thus one major challenge of designing those CPSS is how to incorporate the perception of trust in product and systems design. Recently a trust quantification method was proposed to measure trustworthiness of CPSS by quantitative metrics of ability, benevolence, and integrity. In this paper, the applications of ability and benevolence metrics in design optimization of CPSS architecture are demonstrated. A Bayesian optimization method is developed to perform trust based CPSS network design, where the most trustworthy network with respect to a reference node can be selected to collaborate and share information with.
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Horváth, Imre, Zoltán Rusák, and Yongzhe Li. "Order Beyond Chaos: Introducing the Notion of Generation to Characterize the Continuously Evolving Implementations of Cyber-Physical Systems." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-67082.

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Authors belonging to different institutions (‘schools’) of cyber-physical systems (CPSs) research and development report on largely different objectives, underpin their work with different theories and methodologies, and target characteristics which can actually better characterize other categories and families of engineered systems. This has resulted in an ontological chaos. Therefore, our research addressed the question: What exists in the form of past, current and future CPSs? Our hypothesis has been that we can have an ordered picture on the landscape of CPSs by introducing the notion of system generation. Generation is a structural term defined as a ‘technological/engineering cohort’ of different individual manifestation of systems that reflect genotypic features of ancestor systems belonging to the same category, but deviates from them with regards to their phenotypic features. Based on our literature findings, we have defined five generations of CPSs, which could be differentiated based on: (i) the level of self-intelligence, and (ii) the level of self-organization. The zeroth generation includes look-alikes and partial implementations of CPS. The 1G-CPSs include systems with self-regulation and self-tuning capabilities, while the 2G-CPSs are capable to operationalize self-awareness and self-adaptation. The 3G-CPSs are equipped with the capabilities of self-cognizance and self-evolution. According to our reasoning model, only the fourth generation of CPSs is supposed to achieve self-consciousness and self-reproduction in the form of system of systems. The paper analyses the major paradigmatic characteristics of these generations. It also provides an outlook to the trends that may have strong influence on the introduced generations of CPSs.
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Lukina, Anna. "Resilient Control and Safety for Multi-Agent Cyber-Physical Systems." In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/753.

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I develop novel intelligent approximation algorithms for solving modern problems of CPSs, such as control and verification, by combining advanced statistical methods. it is important for the control algorithms underlying the class of multi-agent CPSs to be resilient to various kinds of attacks, and so it is for my algorithms. I have designed a very general adaptive receding-horizon synthesis approach to planning and control that can be applied to controllable stochastic dynamical systems. Apart from being fast and efficient, it provides statistical guarantees of convergence. The optimization technique based on the best features of Model Predictive Control and Particle Swarm Optimization proves to be robust in finding a winning strategy in the stochastic non-cooperative games against a malicious attacker. The technique can further benefit probabilistic model checkers and real-world CPSs.
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Fazio, Maria, Antonella Longo, Rajiv Ranjan, and Marco Zappatore. "1st Workshop on Cyber-Physical Social Systems (CPSS) 2019." In IoT 2019: 9th International Conference on the Internet of Things. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3365871.3365902.

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Horváth, Imre, and Junfeng Wang. "Towards a Comprehensive Theory of Multi-Aspect Interaction With Cyber Physical Systems." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-47243.

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Interaction with cyber-physical systems (CPSs) is a new challenge for system developers and human-system interaction designers, and but also for end-users. Due to the lack of proper insights, there are many unknowns, open issues, and eventually new challenges. For this reason, there is a need for a comprehensive theory that considers all aspects of interaction with CPSs, provides a reasoning framework, and facilitates the implementation of highly interactive CPSs. The research presented in this paper tries to make the first steps in this direction. We are aware of the fact that, in the case of CPSs, system-human interaction and system-system interaction are to be considered besides human-system interaction. Human-system interaction influenced by: (i) the level of interaction, (ii) the intellectual domains of interaction, (iii) the contexts of interaction, and (iv) the modalities of interaction. The proposed theory decomposes these into various constituents and captures the relations among them. Physical, syntactic, semantic, semantic, pragmatic and apobetic levels of interaction are considered in combination with four domains of interaction (perceptive, cognitive, motor, and emotional). In addition to the common human interaction modalities (visual, audio, haptic, etc.), the theory also considers system communication channels. It is claimed that interaction is also influenced by the implicit context implied by the specific objectives of interaction, i.e., cooperation, coordination, collaboration of coadunation, and not only by the explicit context provided by narrower and broader embedding environments of CPSs. The theory establishes explicit relationships between the above mentioned influencing factors, which are important at specifying wishful interaction profiles. The advantages that the proposed comprehensive theory offers in comparison with the traditional interaction design approaches are shown through the example of a smart bathroom.
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Yang, Xiaoou, Ahreum Lim, Aliki Nicolaides, and Beshoy Morkos. "Towards the Understanding of Nudging Strategies in Cyber-Physical-Social System In Manufacturing Environments." In ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/detc2022-90863.

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Abstract The involvement of artificial intelligence in manufacturing settings has revolutionized the relationship between humans, computers, and workforce environments. The prior cyber-physical systems are developing rapidly due to advances in technology. However, human consideration has not advanced at the same rate. Only highlighting technology advancement is not sufficient, given the high interconnectivity between human-technology in Industry 4.0. Integrating the human factor in design and implementation of cyber-physical technology leads to the holistic development of cyber-physical-social systems (CPSS). Nonetheless, little is known regarding workers’ behavior and ethics that mainly pertain to the human factors of CPSSs. Also, little effort is given to seek a methodologically rigorous way to investigate human factors in CPSS. To fill the gap, this paper proposes a research framework that aims to explore the interaction between humans and AI agents in manufacturing setting. Incorporating human considerations properly can enhanced the development of an integrated cyber-physical-social system. The goal of the research methodology presented here is to fundamentally understand a common dimension in CPSS. The objective of the proposed study is to determine how nudging impacts user response on a manufacturing line, both in terms of manufacturing performance and human response. To do so, we introduced the concept of nudging, which can come in the form of audio, visual, and haptic, refers to signals sent by a cyber-physical device to humans to illicit a performance related response. The design of an experiment is discussed in this paper. Quantitative data (assembly time, quality, and assembly errors) and qualitative data (recorded video, pre-experiment questionnaire, and post-experiment interviews) will be used for analysis to determine if and how the types of nudging are observed in cyber-physical-social environments that we see today can impact human response. The results of this research methodology will help inform engineers how cyber physical systems should be implemented in manufacturing environments while considering the impact it has on the human.
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Gerritsen, Bart H. M., and Imre Horváth. "Current Drivers and Obstacles of Synergy in Cyber-Physical Systems Design." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-71156.

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The level of synergy is a quality measure of the cooperative actions of the components of cyber physical systems (CPSs). Our current research informed us that the phenomenon of synergy has not been understood sufficiently yet, and that there are many, even competing, views on how to interpret and operationalize it in CPSs. We can talk about synergy when the functionally and geographically distributed dissimilar system components work in concert together and create a system behavior/performance that is of higher value than the total of the individual components is. Towards synergy, unification and interoperation principles need to be considered both in design and in implementation of CPSs. In this paper, we elaborate on the various aspects of synergy, and critically analyze its drivers and obstacles. Our analysis extended to ontological, epistemological, methodological, manifestation and operational aspects of synergy. It has been found that emergence of truly synergic technologies, proliferation of sophisticated abstraction models, model-driven system specification, and platform-based function realization are the most important drivers of synergy. On the other hand, the different mental models and vocabularies, the lack of multi-level informatics, the limitations in handling non-hierarchical complexities, managing emergent intelligence and autonomous operation, and the premature state of informing science have been identified as the major obstacles. The paper makes a proposal for enhanced synergy by taking the advantage of the affordances and reducing the effects of the obstacles. The results of the critical analysis are design principles that can be used to increase the level of synergy of CPSs.
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Reports on the topic "Cyber-Physical Systems (CPSs)"

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Ospina Casas, Juan. Towards the Secure Operation of Cyber-Physical Energy Systems (CPES). Office of Scientific and Technical Information (OSTI), October 2022. http://dx.doi.org/10.2172/1894795.

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Wang, Wenbo, Xin Fang, Hantao Cui, Jinning Wang, Fangxing Li, Yijing Liu, Thomas Overbye, Mengmeng Cai, and Chris Irwin. Cyber-Physical Dynamic System (CPDS) Modeling for Frequency Regulation and AGC Services of Distributed Energy Resources. Office of Scientific and Technical Information (OSTI), August 2022. http://dx.doi.org/10.2172/1882191.

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