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Adaptive Time Slot Resource Allocation in SWIPT IoT Networks

Computer Modeling in Engineering & Sciences 2023年第9期136卷 2787-2813页

作者： Yunong Yang Yuexia Zhang Zhihai Zhuo Key Laboratory of Information and Communication Systems Ministry of Information IndustryBeijing Information Science and Technology UniversityBeijing100101China Key Laboratory of ModernMeasurement&Control Technology Ministry of EducationBeijing Information Science&Technology UniversityBeijing100101China Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing Beijing100101China

The rapid advancement of Internet of Things(IoT)technology has brought convenience to people’s lives;however further development of IoT faces serious challenges,such as limited energy and shortage of network spectrum *** address the above challenges,this study proposes a simultaneous wireless information and power transfer IoT adaptive time slot resource allocation(SIATS)***,an adaptive time slot consisting of periods for sensing,information transmission,and energy harvesting is designed to ensure that the minimum energy harvesting requirement ismet while the maximumuplink and downlink throughputs are ***,the optimal transmit power and channel assignment of the system are obtained using the Lagrangian dual and gradient descent methods,and the optimal time slot assignment is determined for each IoT device such that the sum of the throughput of all devices is *** results show that the SIATS algorithm performs satisfactorily and provides an increase in the throughput by up to 14.4%compared with that of the fixed time slot allocation(FTS)*** the case of a large noise variance,the SIATS algorithm has good noise immunity,and the total throughput of the IoT devices obtained using the SIATS algorithm can be improved by up to 34.7%compared with that obtained using the FTS algorithm.

关键词： Internet of Things simultaneous wireless information and power transfer adaptive time slot resource allocation

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Design for a context-aware and collaborative mobile learning system

Design for a context-aware and collaborative mobile learning...

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IEEE International Conference on Computational Intelligence and computing Research

作者： Sameh Baccari Mahmoud Neji Computer Science Multimedia InfoRmation Systems and Advanced Computing Laboratory (MIRACL) Sfax Tunisia

ISBN: (纸本)9781509006137

Today, mobile learning is becoming a new important learning style in our modern life. It is handy because mobile devices are used not only for communicating but also for learning in a mobile context. Mobile devices have the potential to be used as powerful m-learning tools in different learning contexts. However this poses new challenges that are associated with their ability to cope with the available learning material. Our goal in this paper is to propose a new approach for context-aware and collaborative mobile learning. It takes into account the requirements of Mobility, Context-Awareness and Collaboration. Our approach is based on semantic modeling of learning resources and learning context. This modeling is complemented by a adaptation part made up of adaptation rules to propose and select relevant resources, learning partners and learning activities based not only on the learner's needs but also on its current context of learning environment. We have implemented this approach in a Mobile learning system called CCMLS: Collaborative and Context-aware Mobile Learning System.

关键词： Context Mobile communication Learning systems Adaptation models Context modeling Sensors Unified modeling language

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Adaptive Wavelet Filters as Practical Texture Feature Amplifiers for Parkinson’s Disease Screening in OCT

arXiv

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arXiv 2025年

作者： Zhang, Xiaoqing Shi, Hanfeng Li, Xiangyu Ye, Haili Xu, Tao Li, Na Hu, Yan Lv, Fan Chen, Jiangfan Liu, Jiang Center for High Performance Computing and Shenzhen Key Laboratory of Intelligent Bioinformatics Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China Research Institute of Trustworthy Autonomous Systems Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen518055 China State Key Laboratory of Ophthalmology Optometry and Vision Science Wenzhou Medical University Wenzhou China Centre for Computational Science and Mathematical Modelling Coventry University Coventry United Kingdom School of Computer Science University of Nottingham Ningbo China Ningbo315100 China School of Ophthalmology and Optometry Wenzhou Medical University Wenzhou325035 China Department of Electronic and Information Engineering Changchun University Changchun130022 China

Parkinson’s disease (PD) is a prevalent neurodegenerative disorder globally. The eye’s retina is an extension of the brain and has great potential in PD screening. Recent studies have suggested that texture features extracted from retinal layers can be adopted as biomarkers for PD diagnosis under optical coherence tomography (OCT) images. Frequency domain learning techniques can enhance the feature representations of deep neural networks (DNNs) by decomposing frequency components involving rich texture features. Additionally, previous works have not exploited texture features for automated PD screening in OCT. Motivated by the above analysis, we propose a novel Adaptive Wavelet Filter (AWF) that serves as the Practical Texture Feature Amplifier to fully leverage the merits of texture features to boost the PD screening performance of DNNs with the aid of frequency domain learning. Specifically, AWF first enhances texture feature representation diversities via channel mixer, then emphasizes informative texture feature representations with the well-designed adaptive wavelet filtering token mixer. By combining the AWFs with the DNN stem, AWFNet is constructed for automated PD screening. Additionally, we introduce a novel Balanced Confidence (BC) Loss by mining the potential of sample-wise predicted probabilities of all classes and class frequency prior, to further boost the PD screening performance and trustworthiness of AWFNet. The extensive experiments manifest the superiority of our AWFNet and BC over state-of-the-art methods in terms of PD screening performance and trustworthiness. © 2025, CC BY-NC-SA.

关键词： Neurodegenerative diseases

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Lip tracking using particle filter and geometric model for visual speech recognition

Lip tracking using particle filter and geometric model for v...

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International Conference on Signal Processing and multimedia Applications (SIGMAP)

作者： Islem Jarraya Salah Werda Walid Mahdi Multimedia InfoRmation systems and Advanced Computing Laboratory (MIRACL) University of Sfax Sfax Tunisia

The automatic lip-reading is a technology which helps understanding messages exchanged in the case of a noisy environment or of elderly hearing impairment. To carry out this system, we need to implement three subsystems. There is a locating and tracking lips system, labial descriptors extraction system and a classification and speech recognition system. In this work, we present a spatio-temporal approach to track and characterize lip movements for the automatic recognition of visemes of the French language. First, we segment lips using the color information and a geometric model of lips. Then, we apply a particle filter to track lip movements. Finally, we propose to extract and classify the visual informations to recognize the pronounced viseme. This approach is applied with multiple speakers in natural conditions.

关键词： Mathematical model Lips Adaptation models Tracking Visualization Mouth Particle filters

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ALiFE: Automatic Lip Feature Extraction: A New Approach for Speech Recognition Application

ALiFE: Automatic Lip Feature Extraction: A New Approach for ...

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International Conference on information and Communication Technologies: From Theory to Applications, ICTTA

作者： S. Werda W. Mahdi M. Tmar A. Ben Hamadou MIRACL: Multimedia Information systems and Advanced Advanced Computing Laboratory Higher Institute of Computer Computer Science and Multimedia Sfax Tunisia

Actually several domains `general public' are concerned by the utility of visual speech information such as e-learning, tele-assistance, human-machine interaction, etc. The visual information helpfulness is more imperative among people with special needs. We can imagine for example, a dependant people ordered his machine with an easy lip movement or by a simple syllable pronunciation. More than, hard of hearing people normally compensate for their hearing problems by lip-reading as well as listening to the person they are talking to. Therefore, it's very important to create an automatic lip-reading system that resolve partially people hearing problem. We presents in this paper a new hybrid approach named ALiFE to automatically localize lip feature points in the speaker's face and to carry out a spatial-temporal tracking of these points. ALiFE prototype is evaluated with a multiple speakers under natural conditions. In order to approve our lip feature extraction approach, we have created a specific audio-visual corpus. The final results show the different configuration of the mouth through visemes. Later on these visemes is associated to relatively precise physical measures

关键词： Feature extraction Speech recognition Data mining Lips multimedia systems multimedia computing Auditory system Mouth Irrigation Face detection

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A re-ranking method based on irrelevant documents in ad-hoc retrieval 5

A re-ranking method based on irrelevant documents in ad-hoc ...

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5th Symposium on Languages, Applications and Technologies, SLATE 2016

作者： Mbarek, Rabeb Tmar, Mohamed Hattab, Hawete Boughanem, Mohand Sfax University Multimedia Information Systems and Advanced Computing Laboratory Sfax Tunisia Umm Al-Qura University Department of Mathematics Makkah Saudi Arabia University of Toulouse IRIT Lab France Toulouse France

ISBN: (纸本)9783959770064

In this paper, we propose a novel approach for document re-ranking, which relies on the concept of negative feedback represented by irrelevant documents. In a previous paper, a pseudo-relevance feedback method is introduced using an absorbing document d which best fits the user's need. The document d is orthogonal to the majority of irrelevant documents. In this paper, this document is used to re-rank the initial set of ranked documents in Ad-hoc retrieval. The evaluation carried out on a standard document collection shows the effectiveness of the proposed approach. © Rabeb Mbarek, Mohamed Tmar, Hawete Hattab, and Mohand Boughanem;licensed under Creative Commons License CC-BY.

关键词： Absorption of irrelevance Re-ranking Vector product

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An Artificial Vision-Based Lane Detection Algorithm

An Artificial Vision-Based Lane Detection Algorithm

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International Symposium on Computer Science and its Applications, CSA

作者： Nadra Ben Romdhane Mohamed Hammami Hanene Ben-Abdallah Department of Computer Science Multimedia Information Systems and Advanced Computing Laboratory Sfax Tunisia

ISBN: (纸本)9781424449453;9781424449460

In this paper, we present a lane detection algorithm based on hough transform and linear parabolic fitting. The candidate pixels are collected after image contrast enhancement while using morphological filters. The algorithm was tested on image sequences we filmed on the roads of Tunisia and on images from the PETS2001 dataset provided by Essex University (England). These images present different environment conditions such as shadow, partial coverage of the markings by obstacles, different lane markings that can be blurred or well contrasted, and different weather conditions.

关键词： Detection algorithms Road safety Road accidents Filters Surface morphology Road transportation Computer science multimedia systems multimedia computing information systems

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Bimodal person recognition using dorsal-vein and finger-vein images 24

Bimodal person recognition using dorsal-vein and finger-vein...

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24th KES International Conference on Knowledge-Based and Intelligent information and Engineering systems, KES 2020

作者： Abbes, Amal Trabelsi, Randa Boukhris Ayed, Yassine Ben Multimedia InfoRmation systems andAdvanced Computing Laboratory MIRACL University of Sfax Tunisia University of Sfax Sfax Engineering School BP W Sfax3038 Tunisia

Nowadays, human recognition with biometric characteristic have been investigatedin many researchers. However, traditional biometric methods are not always robust againstcounterfeit and spoof attacks. The challenge ofthis work is to develop a bimodal biometric system, based on morereliable and robust characteristics against counterfeiting. Indeed, biometric system based on the venousnetwork of the hand gives higher recognition rate compared to other systems. Furthermore, the fusion of two prints minimums the errorrate and counterfeits. In our biometric system, the most challenging phase is the feature extraction step. For this, we propose a new feature extraction approach based on the concatenation of the pyramid of Difference of Gaussian (DoG) and Local Line Binary Patterns (LLBP) histograms (H-DoG_LLBP). To evaluate the proposed system, we optedfor Support Vector Machine (SVM) and Artificial Neural Network (ANN) classifiers. The experimentalstudy is based on the dorsal hand vein BOSPHORUS database and finger veinMMCBNU_6000 database. Our system presents an area under curve (AUC) equal to 0.99, and 0.001 mean square error (MSE) with ANN, and 0.0042equal error rate(EER) with SVM. © 2020 The Authors. Published by Elsevier B.V.

关键词： Support vector machines

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A Survey on Learner Models in Adaptive E-learning systems

A Survey on Learner Models in Adaptive E-learning Systems

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IEEE/ACS International Conference of Computer systems and Applications

作者： Fedia Hlioui Nadia Alioui Faiez Gargouri Multimedia InfoRmation system and Advanced Computing Laboratory University of Sfax

ISBN: (纸本)9781509043217

E-learning became an omnipresent concept in modern education thanks to the rapid development of information and Communication Technology for Education. Along with this exponential evolution, the learner plays a central role in both traditional and computer-assisted learning. Accordingly, the learner's individual differences have a remarkable potential to improve his/her performance and motivation. This is ensured by providing an adaptive learning support. The present paper presents a survey of learner modeling in adaptive E-learning systems while describing the main methods for extracting of the personalization parameters. The learner's modeling does not only interest researchers and developers, but also pedagogues, course' designer and tutors.

关键词： Learner model Adaptive E-learning system Personalization parameters Learner behavior

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Opportunities for retrieval and tool augmented large language models in scientific facilities

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npj Computational Materials 2024年第1期10卷 588-595页

作者： Michael H.Prince Henry Chan Aikaterini Vriza Tao Zhou Varuni K.Sastry Yanqi Luo Matthew T.Dearing Ross J.Harder Rama K.Vasudevan Mathew J.Cherukara Advanced Photon Source Argonne National LaboratoryLemontILUSA Center for Nanoscale Materials Argonne National LaboratoryLemontILUSA Argonne Leadership Computing Facility Argonne National LaboratoryLemontILUSA Business and Information Systems Argonne National LaboratoryLemontILUSA Center for Nanophase Materials Oak Ridge National LaboratoryOak RidgeTNUSA

Upgrades to advanced scientific user facilities such as next-generation x-ray light sources,nanoscience centers,and neutron facilities are revolutionizing our understanding of materials across the spectrum of the physical sciences,from life sciences to ***,these facility and instrument upgrades come with a significant increase in *** by more exacting scientific needs,instruments and experiments become more intricate each *** increased operational complexity makes it ever more challenging for domain scientists to design experiments that effectively leverage the capabilities of and operate on these advanced *** language models(LLMs)can perform complex information retrieval,assist in knowledge-intensive tasks across applications,and provide guidance on tool *** x-ray light sources,leadership computing,and nanoscience centers as representative examples,we describe preliminary experiments with a Context-Aware Language Model for Science(CALMS)to assist scientists with instrument operations and complex *** the ability to retrieve relevant information from facility documentation,CALMS can answer simple questions on scientific capabilities and other operational *** the ability to interface with software tools and experimental hardware,CALMS can conversationally operate scientific *** making information more accessible and acting on user needs,LLMs could expand and diversify scientific facilities’users and accelerate scientific output.

关键词： instrument instruments facilities

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