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2025 International Conference on Pervasive Computational Technologies, ICPCT 2025

作者： Arora, Chandani Sandhu, Ramandeep Islam, Sardar M. N. Lovely Professional University School of Computer Science & Engineering Phagwara India Victoria University Applied Informatics Research Melbourne Australia

ISBN: (纸本)9798331508685

The healthcare industry is undergoing a fundamental revolution with the integration of Quantum Natural Language Processing techniques for matching patient-clinical trials. This research envisions a paradigm where patients and clinical trials collaborate, changing the way healthcare is supplied and medical research is conducted. Apart from this, the research focuses on engaging patients in clinical trials. Patient involvement refers to the process by which patients and their healthcare providers collaborate to make decisions regarding their health. Within the framework of clinical studies, this may entail participants providing input on study designs or monitoring their data through wearable technology and smartphone apps. Quantum NLP has the potential to enhance patient outcomes and advance medical knowledge more quickly by enabling more precise and effective clinical trials. By setting the framework for future applications of quantum NLP, this study expands the conversation on the connection between quantum computing and healthcare. © 2025 IEEE.

关键词： Clinical research

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Contribution of the Synchronous and Asynchronous Mode in Virtual Education in a Peruvian Higher Educational Institution During the COVID-19 Pandemic 1

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8th Brazilian Technology Symposium, BTSym 2022

作者： Aquino, Janet Valdivia, Carlos Bravo, Jessie Alarcón, Roger School of Computer and Informatics Engineering Pedro Ruiz Gallo National University Lambayeque Peru

ISBN: (数字)9783031310072

ISBN: (纸本)9783031310065

COVID-19 caused universities around the world to adapt their educational models to the new virtual modality. In Peru, higher education institutions integrated teaching-learning activities, integrating synchronous and asynchronous modes, through online classes and virtual learning spaces. The research aimed to identify the level of contribution of synchronous and asynchronous modes in virtual education, demonstrating the influence of five dimensions: psychological, technological, communication, pedagogical, and academic activities. With a quantitative approach, non-experimental design, and a sample of 1519 students at a public university, using an instrument based on a Likert scale. As a result, the synchronous mode had a greater contribution to virtual education, evidenced in the ease of use of technological tools, motivation, response time to queries, and effective communication, however, the asynchronous modality developed better research skills of the students, due to the autonomy and the better control of their time. The analysis by groups of careers and modes did not determine greater significance. The proceeds will serve universities as a contribution towards a new hybrid educational model. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： COVID-19

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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： Therapontos, Phivos Konstantinou, Rafail Charalambous, Charalambos A. Aristidou, Petros 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: (纸本)9781837242672

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. © The Institution of engineering & Technology 2024.

关键词： Distribution transformers

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Sobol Sequence Optimization for Hardware-Efficient Vector Symbolic Architectures

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IEEE Transactions on computer-Aided Design of Integrated Circuits and Systems 2025年第3期44卷 937-950页

作者： Aygun, Sercan Najafi, Hassan University of Louisiana at Lafayette School of Computing and Informatics LafayetteLA70503 United States Case Western Reserve University Electrical Computer and Systems Engineering Department ClevelandOH44106 United States

Hyperdimensional computing (HDC) is an emerging computing paradigm with significant promise for efficient and robust learning. In HDC, objects are encoded with high-dimensional vector symbolic sequences called hypervectors. The quality of hypervectors, defined by their distribution and independence, directly impacts the performance of HDC systems. Despite a large body of work on the processing parts of HDC systems, little to no attention has been paid to data encoding and the quality of hypervectors. Most prior studies have generated hypervectors using inherent random functions, such as MATLAB’s or Python’s random function. This work introduces an optimization technique for generating hypervectors by employing quasi-random sequences. These sequences have recently demonstrated their effectiveness in achieving accurate and low-discrepancy data encoding in stochastic computing systems. The study outlines the optimization steps for utilizing Sobol sequences to produce high-quality hypervectors in HDC systems. An optimization algorithm is proposed to select the most suitable Sobol sequences via indexes for generating minimally correlated hypervectors, particularly in applications related to symbol-oriented architectures. The performance of the proposed technique is evaluated in comparison to two traditional approaches of generating hypervectors based on linear-feedback shift registers and MATLAB random functions. The evaluation is conducted for three applications: 1) language;2) headline;and 3) medical image classification. Our experimental results demonstrate accuracy improvements of up to 10.79%, depending on the vector size. Additionally, the proposed encoding hardware exhibits reduced energy consumption and a superior area-delay product. © 2024 IEEE.

关键词： Stochastic systems

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Gait Optimization for Legged Systems Through Mixed Distribution Cross-Entropy Optimization 23

Gait Optimization for Legged Systems Through Mixed Distribut...

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23rd IEEE-RAS International Conference on Humanoid Robots, Humanoids 2024

作者： Tsikelis, Ioannis Chatzilygeroudis, Konstantinos University of Patras Computer Engineering and Informatics Department PatrasGR-26504 Greece Department of Electrical & Computer Engineering PatrasGR-26504 Greece Department of Mathematics PatrasGR-26110 Greece

ISBN: (纸本)9798350373578

Legged robotic systems can play an important role in real-world applications due to their superior load-bearing capabilities, enhanced autonomy, and effective navigation on uneven terrain. They offer an optimal trade-off between mobility and payload capacity, excelling in diverse environments while maintaining efficiency in transporting heavy loads. However, planning and optimizing gaits and gait sequences for these robots presents significant challenges due to the complexity of their dynamic motion and the numerous optimization variables involved. Traditional trajectory optimization methods address these challenges by formulating the problem as an optimization task, aiming to minimize cost functions, and to automatically discover contact sequences. Despite their structured approach, optimization-based methods face substantial difficulties, particularly because such formulations result in highly nonlinear and difficult to solve problems. To address these limitations, we propose CrEGOpt, a bi-level optimization method that combines traditional trajectory optimization with a black-box optimization scheme. CrEGOpt at the higher level employs the Mixed Distribution Cross-Entropy Method to optimize both the gait sequence and the phase durations, thus simplifying the lower level trajectory optimization problem. This approach allows for fast solutions of complex gait optimization problems. Extensive evaluation in simulated environments demonstrates that CrEGOpt can find solutions for biped, quadruped, and hexapod robots in under 10 seconds. This novel bi-level optimization scheme offers a promising direction for future research in automatic contact scheduling. © 2024 IEEE.

关键词： Cost functions

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Zero-Shot Sentiment Analysis Exploring BART Models 8

Zero-Shot Sentiment Analysis Exploring BART Models

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8th IEEE/ACIS International Conference on Big Data, Cloud Computing, and Data Science, BCD 2023

作者： Kyritsis, Konstantinos Perikos, Isidoros Paraskevas, Michael University of Peloponnese Computer Technology Institute and Press "diophantus" Electrical and Computer Engineering Dept. Patras Greece University of Patras Computer Engineering and Informatics Department Patras Greece

ISBN: (纸本)9798350373615

The BART model is an advanced adaptation of transformers introduced by Facebook. It has incorporated elements from both BERT and GPT transformers, enabling significant advancements in language understanding and general speech processing. Utilizing both encoder and decoder components, BART proves versatile for various tasks, including translation, text completion, automatic sentence generation, entity recognition, sentiment analysis, and more. In this study, we focus on the study of pretrained models, BART and a modified version called distilbart, in the context of Zero-Shot Text Classification. In the experimental study we dive into the Zero-Shot technique applied to various pretrained Transformers. Our analysis demonstrates that, depending on the Model we utilize, we can achieve F1 scores of up to 88%, showcasing the model's effectiveness in discerning classes for this Sentiment Analysis problem using the Zero-Shot Text Classification technique. © 2023 IEEE.

关键词： Sentiment analysis

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Benchmarking visual SLAM methods in mirror environments

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Computational Visual Media 2024年第2期10卷 215-241页

作者： Peter Herbert Jing Wu Ze Ji Yu-Kun Lai School of Computer Science and Informatics Cardiff UniversityAbacws BuildingSenghennydd RdCardiff CF244AGUK School of Engineering Cardiff UniversityQueen’s BuildingsThe ParadeCardiff CF243AAUK

Visual simultaneous localisation and mapping(vSLAM)finds applications for indoor and outdoor navigation that routinely subjects it to visual complexities,particularly mirror *** effect of mirror presence(time visible and its average size in the frame)was hypothesised to impact localisation and mapping performance,with systems using direct techniques expected to perform ***,a dataset,MirrEnv,of image sequences recorded in mirror environments,was collected,and used to evaluate the performance of existing representative *** ORB-SLAM3 and BundleFusion appear to show moderate degradation of absolute trajectory error with increasing mirror duration,whilst the remaining results did not show significantly degraded localisation *** mesh maps generated proved to be very inaccurate,with real and virtual reflections colliding in the reconstructions.A discussion is given of the likely sources of error and robustness in mirror environments,outlining future directions for validating and improving vSLAM performance in the presence of planar *** MirrEnv dataset is available at https://***/10.17035/d.2023.0292477898.

关键词： visual simultaneous localisation and mapping(vSLAM) mirror localisation mapping reflection datase

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ERAS-NETS: An Efficient Resource Allocation Scheme-based Nonlinear Energy Harvesting Timeslot Switching 8

ERAS-NETS: An Efficient Resource Allocation Scheme-based Non...

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8th IEEE International Conference on engineering Technologies and Applied Sciences, ICETAS 2023

作者： Guler, Nivine Gunes, Ali University of Technology Bahrain Department of Informatics Engineering Bahrain Istanbul Aydin University Department of Computer Engineering Turkey

ISBN: (纸本)9798350327090

In this paper, an efficient resource allocation scheme-based nonlinear energy harvesting (EH) Timeslot switching (TS) for single-input-single-output (SISO) SWIPT systems-(ERAS-NETS) is presented. The energy saturation characteristic is considered in the EH model where point-to-point (P2P) single-input single-output (P2P-SISO) SWIPT system is studied. Harvesting energy is based on Timeslot switching (TS) aiming at optimizing the average data rate where the TS ratio is a binary value (0 or 1). Hence, the problem is a nonconvex optimization problem because of the binary factor of the TS ratio. The optimization problem is solved using the Lagrange dual theorem that states that the optimal values of the Primal (P) and Dual (D) linear problem are the same if either solution is a basic feasible solution. Accordingly, the derivation of the optimal solution helps receiver to switch either to EH or information decoding (ID) based on the SNR value. Hence, the receiver will switch to EH in the districts having medium values of SNR, otherwise, the receiver will switch to ID in districts having SNR less than 5 dB or more than 25 dB. Different network performance metrics were considered in evaluating the proposed ERAS-NETS scheme in comparison with traditional state-in-the-art TS resource allocation schemes such as transmission power, distance between source and destination, pathloss exponent, and minimum required harvested energy. Simulations showed that ERAS-NETS improves energy efficiency with respect to different transmission power by 20%, 10%, and 3 % for high SNR, medium SNR, and low SNR districts, respectively. Improvement with respect to average energy efficiency versus other system performance metrics has also been noted for the proposed scheme. © 2023 IEEE.

关键词： Energy harvesting

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A novel medical image data protection scheme for smart healthcare system

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CAAI Transactions on Intelligence Technology 2024年第4期9卷 821-836页

作者： Mujeeb Ur Rehman Arslan Shafique Muhammad Shahbaz Khan Maha Driss Wadii Boulila Yazeed Yasin Ghadi Suresh Babu Changalasetty Majed Alhaisoni Jawad Ahmad School of Computer Science and Informatics Cyber Technology InstituteDe Montfort UniversityLeicesterUK Department of Biomedical Engineering University of GlasgowGlasgowUK School of Computing Engineering and the Built EnvironmentEdinburgh Napier UniversityEdinburghUK Robotics and Internet‐of‐Things Laboratory Prince Sultan UniversityRiyadhSaudi Arabia Department of Computer Science Al Ain UniversityAl AinUnited Arab Emirates Department of Computer Engineering College of Computer Science King Khalid UniversityAbhaSaudi Arabia Computer Sciences Department College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadhSaudi Arabia

The Internet of Multimedia Things(IoMT)refers to a network of interconnected multimedia devices that communicate with each other over the ***,smart healthcare has emerged as a significant application of the IoMT,particularly in the context of knowledge‐based learning *** healthcare systems leverage knowledge‐based learning to become more context‐aware,adaptable,and auditable while maintain-ing the ability to learn from historical *** smart healthcare systems,devices capture images,such as X‐rays,Magnetic Resonance *** security and integrity of these images are crucial for the databases used in knowledge‐based learning systems to foster structured decision‐making and enhance the learning abilities of ***,in knowledge‐driven systems,the storage and transmission of HD medical images exert a burden on the limited bandwidth of the communication channel,leading to data trans-mission *** address the security and latency concerns,this paper presents a lightweight medical image encryption scheme utilising bit‐plane decomposition and chaos *** results of the experiment yield entropy,energy,and correlation values of 7.999,0.0156,and 0.0001,*** validates the effectiveness of the encryption system proposed in this paper,which offers high‐quality encryption,a large key space,key sensitivity,and resistance to statistical attacks.

关键词： data analysis medical image processing security

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Classification and Regression Trees (CART) Method in the Classification Process of Blood Control Candidates 9

Classification and Regression Trees (CART) Method in the Cla...

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9th International Conference on Wireless and Telematics, ICWT 2023

作者： Ramdania, Diena Rauda Slamet, Cepy Lutfiyah, Hasna Fairuz Irfan, Mohamad Zulfikar, Wildan Budiawan Harika, Maisevli Uin Sunan Gunung Djati Department of Informatics Bandung Indonesia Politeknik Negeri Bandung Computer Engineering and Informatics Department Bandung Indonesia

ISBN: (纸本)9798350305029

The classification of blood donor candidates is a crucial process that requires thorough health checks and assessments. Implementing a reliable and efficient classification system for blood donor candidates is essential to ensure the safety and well-being of both the donor and the recipient. This study focuses on implementing the Classification and Regression Trees (CART) method in the classification process of blood control candidates. Given the complex series of health checks involved in the process, which includes age, weight, blood pressure, pulse rate, and blood tests (hemoglobin, blood type, and rhesus), a reliable and efficient classification system is necessary. This research demonstrates the successful implementation of the CART method in developing an expert classification system for blood donor candidates. The system achieved an accuracy value of 98.03%, making it a highly effective and reliable tool for improving blood control candidate classification accuracy and efficiency. This research has significant implications for enhancing the safety and success of blood transfusions. © 2023 IEEE.

关键词： Expert systems

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