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On a Piecewise Linear Function Approximation for Quantum Computation

On a Piecewise Linear Function Approximation for Quantum Com...

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IEEE Asia-Pacific Conference on Circuits and Systems

作者： Hideaki Okazaki Dept. of Informatics Faculty of Informatics Computer Science Course (or Field) Graduate school of Electrical and Information Engineering Shonan Institute of Technology Fujisawa Kanagawa Japan

In quantum computing, although correspondences between quantum circuits and polynomials have been explored, a correspondence between a quantum circuit and a low-degree polynomial, even a linear function has not fully clarified. In this paper, a quantum circuit approximating a linear function for building piecewise linear functions, is proposed. First, for qubit operations, a dimensionless form in $[0,1]$ of a linear function is provided. Secondly, a theorem of a parameterized quantum circuit approximating linear functions are provided. Thirdly, by using Yao: an open source Julia package, the quantum circuit simulation results to approximate the linear functions are presented. Finally, the principal results are summarized.

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Exploiting Vitis Framework for Accelerating Sobel Algorithm 10

Exploiting Vitis Framework for Accelerating Sobel Algorithm

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10th Mediterranean Conference on Embedded Computing, MECO 2021

作者： Mousouliotis, Panagiotis Zogas, Stavros Christakos, Panagiotis Keramidas, Georzios Petrellis, Nikos Antonopoulos, Christos Voros, Nikolaos Aristotle University of Thessaloniki Dept. of Electrical and Computer Engineering Thessaloniki Greece University of Peloponnese Dept. of Electrical and Computer Engineering Patra Greece School of Informatics Aristotle University of Thessaloniki Thessaloniki Greece

ISBN: (纸本)9780738133614

Edge detection is one of the most common operations needed in the image processing domain. In this work, alternative implementations of the Sobel algorithm are tested on a ZCU102 Xilinx embedded platform, demonstrating how different optimization techniques can be conveniently configured in Xilinx Vitis environment. We exploit (a) Xilinx Runtime library (XRT) that allows the reprogramming of the reconfigurable logic at real time and (b) the various high-level attributes offered by the OpenCL API for efficient resource allocation in the state-of-the-art Xilinx Ultrascale Multi-Processor System-on-Chips (MPSoC). Specifically, different implementations of the Sobel algorithm (varying the data transfer models and data packing modes) are demonstrated and analyzed. Our experimental results shows that starting from a CPU implementation with 656 ms latency, the frame processing time is reduced to a range between 17 ms and 22 ms depending on the allocated resources, leading to a solution that is up to 38 times faster. © 2021 IEEE.

关键词： Field programmable gate arrays (FPGA)

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Gendering Robots in Human-Robot Interaction: An Interdisciplinary Approach 20

Gendering Robots in Human-Robot Interaction: An Interdiscipl...

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20th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2025

作者： Akalin, Neziha Arnelid, Maria Harrison, Katherine School of Engineering Jönköping University Dept. of Computer Science and Informatics Jönköping Sweden Linköping University Unit of Gender Studies Dept. of Thematic Studies Linköping Sweden

ISBN: (纸本)9798350378931

This paper emphasizes the importance of interdisciplinary collaboration in exploring the concept of robot gender within Human-Robot Interaction (HRI). It draws on a case study of the authors' own collaboration, where interdisciplinary discussions on the nature of gender informed the design of a multimethod study. This approach allowed us to avoid assigning a binary gender to Pepper robot, while still encouraging participants to reflect on their own gendering practices during interactions with robots. Additionally, we invite readers to consider alternative ways of conceptualizing robot gender in HRI - specifically, as fluid and performative rather than binary, which relies on stereotypical cues. After describing how our discussions on gender influenced and reshaped the study design, we offer practical advice on fostering interdisciplinary collaborations. These suggestions focus on communication strategies, mindset, and the practical setup of collaborative studies. We hope that these recommendations will inspire other researchers to continue exploring new and interdisciplinary ways of approaching robot gender in HRI. © 2025 IEEE.

关键词： Social robots

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Increasing the RES hosting capacity of the Cyprus distribution system

Increasing the RES hosting capacity of the Cyprus distributi...

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CIRED 2024 Vienna Workshop

作者： Phivos Therapontos Rafail Konstantinou Charalambos A. Charalambous Petros Aristidou Distribution System Operator Electricity Authority of Cyprus Nicosia Cyprus University of Cyprus Department of Electrical and Computer Engineering Nicosia Cyprus Dept. of Electrical & Computer Engineering & Informatics Cyprus University of Technology Limassol Cyprus

ISBN: (数字)9781837241224

The Renewable Energy Sources (RES) penetration in the power system of Cyprus has dramatically increased over the last years. As a result, the system is already facing significant challenges limiting the RES hosting capacity of the Distribution Network (DN). The major limitation factors are network congestion and voltage security. In this paper, alternative solutions for increasing the RES hosting capacity in DNs are reviewed, and a methodology is introduced to evaluate their effectiveness. More specifically, different inverter settings and an advanced centralised voltage control from power transformers are used to mitigate voltage-related issues, while network reinforcements and upgrading the operating voltage are considered for further increase in hosting capacity. The solutions and evaluation methodology are tested using a real MV network of the Cyprus distribution system and the strategic plan of the Cyprus Distribution System Operator (DSO) for maximizing RES hosting capacity is outlined.

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Self-Reported Learning Strategies and Preferences in Health informatics

Self-Reported Learning Strategies and Preferences in Health ...

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34th Medical informatics Europe Conference, MIE 2024

作者： Rohani, Narjes Gallagher, Michael Gal, Kobi Banas, Kasia Manataki, Areti Usher institute University of Edinburgh United Kingdom Moray House School of Education and Sport University of Edinburgh United Kingdom School of Informatics University of Edinburgh United Kingdom Dept. of Software and Information Systems Engineering Ben-Gurion University Israel School of Computer Science University of St Andrews United Kingdom

ISBN: (纸本)9781643685335

Despite the proliferation of educational programmes in Health informatics (HI) worldwide, there is limited knowledge regarding students' preferences and learning strategies in HI courses. To address this gap, we conducted a study to gather and analyse data from three HI courses. Employing the Motivated Strategies for Learning Questionnaire (MSLQ) and theories of deep and surface learning, we designed a questionnaire to collect data. The analysis of students' responses indicates that machine learning emerges as one of the most interesting topics, while certain topics such as data wrangling of genomics data were more challenging for students. Students expressed a preference for sequential learning. They exhibited multimodal tendencies regarding the type of learning resources, with tendency to prefer learning resources that have more visual contents. In all three courses, learners reported using deep learning strategy rather than surface learning, yet they appear to struggle with employing organisation, elaboration, and peer learning tactics. This study provides valuable insights into HI education, offering recommendations for educators, learners, and researchers to enhance HI education. © 2024 The Authors.

关键词： Contrastive Learning

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A Dynamic Security Assessment Tool for Modern Power Systems with Massive RES Penetration

A Dynamic Security Assessment Tool for Modern Power Systems ...

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International Conference on Energy Transition in the Mediterranean Area (SyNERGY MED)

作者： Phivos Therapontos Charalambos A. Charalambous Petros Aristidou Distribution System Operator Electricity Authority of Cyprus Nicosia Cyprus Department of Electrical and Computer Engineering University of Cyprus Nicosia Cyprus Dept. of Electrical & Computer Engineering & Informatics Cyprus University of Technology Limassol Cyprus

ISBN: (数字)9798350375923

ISBN: (纸本)9798350375930

Modern power systems are facing significant challenges due to the massive penetration of renewable energy sources (RES). Recently, issues related to frequency security, system strength, and excessive fault levels have been experienced in some power systems. Classical dynamic security assessment (DSA) tools have not been developed to identify and analyze these new challenges that are critical in low-inertia grids. In this paper, a DSA tool has been developed that evaluates frequency security, system strength, and maximum fault levels to allow for secure system planning and operation. Furthermore, to increase the accuracy of the DSA tool, inverter-based resources’ (IBRs’) protections and capabilities have been incorporated in the DSA tool. A real-time operation and an operational planning application of the DSA tool are showcased using the islanded Cyprus Power System.

关键词： Renewable energy sources Adaptation models Accuracy Power system dynamics Real-time systems Planning Security Protection Faces

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Pose-free visual servoing from 3D measurements

Pose-free visual servoing from 3D measurements

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European Control Conference (ECC)

作者： Adrian Burlacu Radu L. Rosca Andrei I. Iancu Enric Cervera Dept. of Automatic Control and Applied Informatics Gheorghe Asachi Technical University of Iasi Romania Dept. of Computer Science and Engineering Jaume I University Spain

In this paper, a novel approach to visual servo control robotic systems is proposed. It is focused on developing a solution using 3D point features without recovering the rigid object’s pose. Pose-free motion is achieved using motion parameterization techniques based on dual numbers and dual vectors. Considering an imposed velocity field over the motion of the 3D point features ensemble, this work proposes a close-form solution to a visual servoing problem. The solution provides stable motion control while preserving the image features in the field of view. However, when some point features leave the field of view, their contribution to the control law is dropped without losing stability. The proposed solution is easy to tune and implement. Various scenarios are used in simulations and real experiments to show how the proposed solution overcomes classic servoing problems.

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A survey on the awareness on Virtual Reality, Internet of Things and Blockchain in the 4thIR era 7

A survey on the awareness on Virtual Reality, Internet of Th...

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7th South-East Europe Design Automation, computer engineering, computer Networks and Social Media Conference, SEEDA-CECNSM 2022

作者： Sakkas, Konstantinos Ntagka, Niki Eleni Vinni, Panagiota Artemi, Paraskevi Anagnostakis, Aristidis Giannakeas, Nikolaos Tzimourta, Katerina D. Tzallas, Alexandros T. Glavas, Euripidis Department of Informatics and Telecommunication University of Ioannina Arta Greece Dept. of Electrical and Computer Engineering University of Western Macedonia Kozani Greece Department of Accounting and Finance University of Ioannina Preveza Greece

ISBN: (数字)9798350398588

ISBN: (纸本)9798350398588

The Fourth Industrial Revolution (4th IR) is hastily reshaping the global industry. The term is often used as a semantical umbrella to describe state-of-art technological advances that improve the quality, the productivity and the efficiency of the industrial and societal processes. It combines developments in the disciplines of Artificial Intelligence, Virtual Reality, Robotics, Internet of Things, Genetic engineering, Quantum Computing and Blockchain. Metaverse itself, in the form of AI-fueled 4D virtual reality space is redefining the way humans and machines are interacting with themselves and with each other. To maximize the positive impact of the 4th IR, it is essential that the underlying mechanisms are conceivable and assimilated by everyone. In this paper we investigate the awareness of the general population on Virtual Reality, Internet of Things and Blockchain technologies under the framework of the 4th Industrial Revolution. A literature review on the core 4th IR technologies, supplemented with a combined questionnaire survey is presented. The work aims to quantify the awareness of the general population on the technologies that contribute the most to the 4th industrial revolution. © 2022 IEEE.

关键词： Virtual reality

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Generalization Evaluation of Seq2seq based Fog Computing Application Placement Algorithm on Limited Dataset

Generalization Evaluation of Seq2seq based Fog Computing App...

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Intelligent Cybernetics Technology & Applications (ICICyTA), International Conference on

作者： Michael S. M. Pakpahan Lukito Edi Nugroho Widyawan Widyawan Ajie Kusuma Wardhana Muhammad Ardian R.A Rangga Satria Astagenta Dept. of Electrical and Information Engineering Universitas Gadjah Mada Yogyakarta Indonesia Dept. Informatics Faculty of Computer Science Universitas AMIKOM Yogyakarta Yogyakarta Indonesia

Addressing its growing number and vital role, decentralization of cloud computing becoming a necessity. Fog computing aims to bring application closer to the data source-typically at the network’s edge by leveraging local resources to provide faster data processing and decision-making. Fog computing then has to place application strategically to use its limited fog resource to improve application performance metrics. This problem known as Fog Application Placement Problem (FAPP) has been approached using previous methods that rely on rules and prior knowledge that may not be adaptive, but rather being overly specialized to specific problems. Deep learning with its learning mechanism, can offer more adaptable and dynamic solutions for a wide range of scenarios, especially in fog network that continuously evolve. This research investigate Seq2seq placement model inherent limitations, notably the impracticality of generating every possible pattern from all potential request configurations. We aim to address and answer the following critical questions: 1) How does the model’s performance vary when confronted with unseen requests or an augmented number of modules, especially considering the limitations in training data?; 2) Can the seq2seq model, even with its training limitations, adhere to the heuristic rules of the dataset when dealing with unfamiliar problems? This research shows that in similar availability, there is a reduction of almost half of the response time with 183.03 ms, 2.93 number of hops, and 0.87 megabyte of transmitted messages against the hop3 algorithm. Moreover, we highlight the ability of seq2seq model to follow heuristic rules in unseen scenarios.

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EMP-GAN: Encoder-Decoder Generative Adversarial Network for Mobility Prediction

EMP-GAN: Encoder-Decoder Generative Adversarial Network for ...

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IEEE Conference on computer Communications Workshops, INFOCOM Wksps

作者： Sammy Yap Xiang Bang Syed M. Raza Huigyu Yang Hyunseung Choo Dept. of Superintelligence Engineering Sungkyunkwan University Suwon Korea College of Computing and Informatics Sungkyunkwan University Suwon Korea Dept. of Electrical and Computer Engineering Sungkyunkwan University Suwon Korea

Ultra-dense cell deployments in Beyond 5G and 6G result in extensive overlapping between cells. This makes current reactive handover mechanism inadequate due to availability of multiple strong signals at a position. Moreover, recently proposed predictive mobility management schemes are also not suitable as they may lead to unnecessary handovers. A predictive path-based mobility management scheme can solve these issues, but forecasting User Equipment (UE) paths with high accuracy is a challenging task. This paper proposes Encoder-Decoder Generative Adversarial Network (EMP-GAN) for forecasting multi-step ahead UE path. EMP-GAN architecture consists of generator and discriminator neural networks, where the generator predicts mobility (next multi-step target sequence) and the discriminator classifies between the predicted target sequence and the ground truth in adversarial learning. Besides adversarial learning, feature matching and fact forcing training methods are employed for fast convergence of GAN and performance improvement. EMP-GAN is evaluated on mobility dataset collected from the wireless network of Pangyo ICT Research Center, Korea, and results show that it outperforms state-of-the-art prediction models. In particular, EMP-GAN achieves 95.55%, 94.70%, 93.50%, and 92.39% accuracies for 3, 5, 7, and 9-step predictions, respectively.

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