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检索条件"任意字段=24th International Conference on Control Systems and Computer Science, CSCS 2023"

共 922 条记录，以下是141-150 订阅

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Interoperability Framework for Cyber-Physical systems Based Capabilities

Interoperability Framework for Cyber-Physical Systems Based ...

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international conference on control systems and computer science (cscs)

作者： Eugen Pop Miruna-Elena Iliuță Nicolae Constantin Daniela Gîfu Alexandru Dumitrascu Faculty of Automatic Control and Computers University “Politehnica” of Bucharest Romania Institute of Computer Science Romanian Academy Iasi – Branch Romania

Cyber-Physical systems represent digital systems based mainly on the interconnection between the physical world and cyberspace. Physical processes are controlled and monitored through networked computers. Feedback loops between the physical and computing environment are involved, including sensors and actuators. thus, the CPS design involves the analysis of the interrelated dynamical physical processes, computation resources, networks, and software. CPS is application-oriented, by its nature so the necessity of available services composition appears frequently. the CPS services, resources and capabilities can be placed at the system and node level. In this context, the Communication Cost is an important performance criteria for accessing their resources, even in a composite form. In this paper an interoperability framework, for Cyber-Physical systems capabilities, using REST and SOAP web services is presented. the interoperability capabilities of the framework are ensured by both of the convergence of IP and non-IP networks for services access and by the services composition facilities. For a scenario of multiuser access at the composed services, the interoperability framework response time is evaluated, because it brings an important contribution in the determination of Communications Cost, in a QoS approach.

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Home Care Assistance Solution based on a Software Multi-Agents System

Home Care Assistance Solution based on a Software Multi-Agen...

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international conference on control systems and computer science (cscs)

作者： Mohammad Rasras Iuliana Marin Şerban Radu Doctoral School of Automatic Control and Computers University POLITEHNICA of Bucharest Bucharest ROMANIA Dept. of Engineering in Foreign Languages University POLITEHNICA of Bucharest Bucharest ROMANIA Dept. of Computer Science University POLITEHNICA of Bucharest Bucharest ROMANIA

A smart home allows automated technology to control systems and appliances to assist daily life activities. In the current work, a prototype of a designed smart home health-aware system is presented. three predefined ruled agents have been used to gather data, communicate between themselves, interpret the data based on several machine learning algorithms to predict abnormality for cardiac conditions. the paper also compares results obtained by running five machine learning algorithms. the agents function in accordance with predefined dataset describing residents ’ age, gender, height, weight, systolic and diastolic blood pressure, cholesterol, and glucose levels, smoking and alcohol consumption habits, and lastly, physical activity. Our plan is to simplify ubiquitous health monitoring for smart home’s residents. the proposed solution aims to monitor parametric measurements to alert health specialists in case of emergencies.

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the Moral Status of Artificial Intelligence: Exploring Users’ Anticipatory Ethics in the Controversy Regarding LaMDA’s Sentience

The Moral Status of Artificial Intelligence: Exploring Users...

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international conference on control systems and computer science (cscs)

作者： Dragoş M. Obreja Răzvan Rughiniş Doctoral School of Sociology University of Bucharest Bucharest Romania Faculty of Automatic Control and Computers University Politehnica of Bucharest The Romanian Academy of Scientists - AOSR Bucharest Romania

Several approaches in the area of technological developments have given increased importance to technologies not yet implemented but frequently discussed within users’ social groups. Drawing on qualitative content analysis based on tweets and comments related to Google’s AI product LaMDA from the last six months (N=317), we discuss Brey’s anticipatory ethics, i.e. people’s ways of sensemaking related to the potential ethical consequences of tech product designs and policies of use. We adopt the theoretical approach of the “technomoral scenario”, which is focused on anticipations of the potential consequences regarding the unimplemented technologies, and we study users’ “interpretive flexibility”, which has the role of unifying divergent opinions, when it comes to technological developments. We conclude that the anticipatory ethics regarding New and Emerging Technologies takes shape around a coherent framework of opinions and values related to technological controversies.

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A case study for emerging technologies and the potential applications of AR in higher education

A case study for emerging technologies and the potential app...

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international conference on control systems and computer science (cscs)

作者： Alexandra Predescu Diana Arsene Mariana Mocanu Automatic Control and Computers University Politehnica of Bucharest Bucharest Romania

the modernization of educational processes and the transition from traditional to modern methods using emerging technologies, represent significant challenges and contributions to education all over the world. this shift in paradigm began to take shape at an accelerated pace with the recent transition from classic courses to online or hybrid ones, requiring adaptation from both teachers and students. this paper presents a review of current research and applications that focus on emerging technologies, highlighting the benefits offered from an educational perspective. A solution based on a mobile application with huge potential in gamification is proposed. the application is hosted on a platform intended for a varied and quite extensive audience, being used from self-guided tours to outdoor games. With such tools, learning environments can take education to another level, captivating and motivating students to discover and complete the tasks created in the application. To be on track with the latest technologies and be aligned with the emerging trends in the education domain, it is required to design and develop robust architectures with user-friendly interfaces, easy to use by the end-users and with concrete impact on the learning process.

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NanoSoftcontroller: A Minimal Soft Processor for System State control in FPGA systems 24th

NanoSoftController: A Minimal Soft Processor for System Stat...

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24th international conference on Embedded computer systems: Architectures, Modeling, and Simulation

作者： Weissbrich, Moritz Seidlitz, Germain Paya-Vaya, Guillermo Tech Univ Carolo Wilhelmina Braunschweig Chair Chip Design Embedded Comp Muhlenpfordtstr 22-23 D-38106 Braunschweig Germany

ISBN: (纸本)9783031783760;9783031783777

In many FPGA-based systems, only sequential system control structures modeled by finite state machines are actually required. In order to deal with complexity, design time, and verification issues, which are weaknesses of traditional hardware description languages, it may be preferred to describe the control flow behaviorally in software. However, it is reported that high-level synthesis for FPGA often generates inferior results in terms of resources and performance when translating software-style control flow description to hardware. In this paper, the NanoSoftcontroller is proposed as an open-source soft processor, which is optimized for minimal and efficient logic resource usage on FPGA platforms. It is targeted at processing sequential finite state machine functionality in software, featuring a compact ISA for control flow in embedded systems and a tiny accumulator-based data path. Furthermore, an efficient mapping of memory to small distributed LUT RAM instances enables its use as a system state machine controller in even very resource-constrained FPGA designs, requiring only 104 slice LUTs and 76 slice registers in total. However, despite all optimizations, in a case study with high-level synthesis results of three reference software-style control applications, i.e., electronic door lock, smart glucose sensor, and sequential sensor network node, a better resource efficiency could not be shown. We evaluate the negative results and provide lessons we learned from them.

关键词： Accumulator architecture FPGA High-level synthesis Microcontroller Programmable state machine Soft processor

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Fractal encoding uses and variations in contemporary biometrics applications

Fractal encoding uses and variations in contemporary biometr...

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international conference on control systems and computer science (cscs)

作者： Carmen Bisogni Aniello Castiglione Fabio Narducci Chiara Pero Dept. of Computer Science University of Salerno Salerno Italy Dept. of Management & Innovation Systems University of Salerno Salerno Italy

Fractal encoding, as part of computer Vision processes, has gained major success as the base of a lossy compression algorithm. Yet, the principle of self-similarity, which under-pins fractal encoding, has sparked attention in the Biometrics research field throughout the years. In contrast to the era of Deep Learning techniques, fractal encoding and its integration with Machine Learning produced intriguing and competitive outcomes in real-world use applications. the goal of this article is to gather biometrics applications that have used the fractal encoding approach to tackle authentication, recognition, or classification problems in these sectors in recent years. We investigate how the authors adopted fractal encoding to be a main feature in a biometric system in a reasonable encoding computational time. the approaches for classifying and regressing fractal encoding to get the desired output are described, and the more promising results are emphasized. After a review of the methodologies previously researched in this field, we outline a direction for future research on fractal encoding applied to biometrics. the findings achieved by the approaches discussed in this study show that there is still a large and potential scope for research in this field.

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Exercise Generation Supporting Adaptivity in Intelligent Tutoring systems 24th

Exercise Generation Supporting Adaptivity in Intelligent Tut...

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24th international conference on Artificial Intelligence in Education (AIED)

作者： Heck, Tanja Meurers, Detmar Univ Tubingen Keplerstr 2 D-72074 Tubingen Germany

ISBN: (纸本)9783031363351;9783031363368

Exercise generation makes it possible to systematically provide the range and number of activities needed to support macro-adaptive activity sequencing. We propose an approach to adaptivity that balances the pedagogical need for variable contexts and activity types and their inherent complexity with the goal to incrementally complexify activities along the overall learning trajectory. To accommodate such a macro-adaptivity less strictly based on activity complexity, we integrate more micro-adaptive, scaffolding features offering within-exercise variability and refine the mastery criterion.

关键词： exercise generation adaptivity ITS language learning

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Suboptimal State Feedback H2control of Positive Linear systems 24

Suboptimal State Feedback H2Control of Positive Linear Syste...

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24th international Carpathian control conference, ICCC 2023

作者： Krokavec, Dusan Filasova, Anna Technical University of Košice Department of Cybernetics and Artificial Intelligence Košice Slovakia

ISBN: (纸本)9798350310221

In this paper, the state control problem is studied for a class of linear continuous-time positive systems with dynamics defined by the system matrix of a purely Metzler structure. By preserving the closed-loop system positivity and asymptotic stability, the auxiliary goal is to ensure combined compactness of the system performance within H2 norm limit and Metzler parametric constraints. the LMI-based numerical method is presented to provide an optimal solution of this diagonal stabilization problems, where sufficient conditions for the existence of a non-negative gain of the control law are given in terms of a feasible set of linear matrix inequalities. the theory and the algorithm behavior are illustrated by a numerical example and detailed discussed to put in evidence the efficiency of the proposed design methodology. © 2023 IEEE.

关键词： State feedback

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Adaptive Model for Industrial systems Using Echo State Networks 1

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24th international conference on Engineering Applications of Neural Networks (EANN)

作者： Rodriguez-Ossorio, Jose Ramon Moran, Antonio Fuertes, Juan J. Prada, Miguel A. Diaz, Ignacio Dominguez, Manuel Univ Leon Escuela Ingn SUPPRESS Res Grp Campus Vegazana Leon 24007 Spain Univ Oviedo Dept Elect Engn Edif Dept Oeste 2Campus Viesques S-N Gijon 33204 Spain

ISBN: (数字)9783031342042

ISBN: (纸本)9783031342035;9783031342042

When a model of an industrial system is developed, it is expected that this model performs consistently when applied to other identically designed systems. However, different operating hours, degradation or maintenance, among other circumstances, cause a change in the dynamics of the system and result in the model not performing as expected. For this reason, it is necessary to build a model that continuously adapts to changes in the dynamics of the system, in order to handle such deviations and thus reduce the estimation error. this paper proposes the development of an adaptive model based on Echo State Networks to estimate the level of a water tank. For this purpose, two identically designed industrial pilot plants are used, taking one of them as a reference for the parameterization, training and validation of the model, and applying the developed model to the other one in order to evaluate the adaptation to changes in the dynamics of the system.

关键词： Echo State Networks Dynamics Data-based Modelling Online Learning

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How capable are state-of-the-art language models to cope with sarcasm?

How capable are state-of-the-art language models to cope wit...

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international conference on control systems and computer science (cscs)

作者： Alexandru -Costin Băroiu Ştefan Trăuşan-Matu Faculty of Automatic Control and Computer Science Politehnica University of Bucharest Bucharest Romania Romanian Academy Research Institute for Artificial Intelligence “Mihai Drăganescu” Academy of Romanian Scientists Bucharest Romania

Sarcasm detection has established itself as one of the more difficult Natural Language Processing tasks, due to the complex nature of sarcasm. this paper aims to benchmark the performance of state-of-the-art models like BERT, RoBERTa, ALBERT and GPT-3 when faced with this task. the dataset selected is MUStARD, which has increased in popularity in recent years, especially for multimodal tasks, and is one of the most qualitative and data rich dataset. An untuned GPT-3 based model was selected as the baseline and all the other models were fine-tuned using the textual data present in MUStARD, mainly the context and utterance information. the best performer was found to be the GPT-3 fine-tuned model, with an F1 score of 77. this is in line with the reported feats of GPT-3 based models that have popularized in recent months and reaffirms the superiority of GPT-3. Future avenues of research are then presented and explored, and the conclusions are drawn.

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