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Conceptual Relevance Index for Identifying Actionable Formal Concepts 26th

Conceptual Relevance Index for Identifying Actionable Formal...

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26th international conference on Conceptual Structures (ICCS)

作者： Ibrahim, Mohamed-Hamz A. Missaoui, Rokia Vaillancourt, Jean Univ Quebec Outaouais Dept Informat & Ingn Gatineau PQ Canada HEC Montreal Dept Decis Sci Montreal PQ Canada Zagazig Univ Fac Sci Dept Math Zagazig Egypt

ISBN: (纸本)9783030869823;9783030869816

Discovering meaningful conceptual structures is a substantial task in data mining and knowledge discovery applications. While off-the-shelf interestingness indices defined in Formal Concept analysis may provide an effective relevance evaluation in several situations, they frequently give inadequate results when faced with massive formal contexts (and concept lattices), and in the presence of irrelevant concepts. In this paper, we introduce the Conceptual Relevance (CR) score, a new scalable interestingness measure for the identification of relevant concepts. From a conceptual perspective, minimal generators provide key information about their associated concept intent. Furthermore, the relevant attributes of a concept are those that maintain the satisfaction of its closure condition. Thus, CR exploits the fact that minimal generators and relevant attributes can be efficiently used to assess concept relevance. As such, the CR index quantifies both the amount of conceptually relevant attributes and the number of the minimal generators per concept intent. Our experiments on synthetic and real-world datasets show the efficiency of this measure over the well-known stability index.

关键词： Formal concept analysis pattern selection and relevance

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Multivariate Developmental pattern of Cortical Thickness, Brain Functional Connectivity and Behaviour: a Multi-Block Partial Least Square Discriminant analysis

Multivariate Developmental Pattern of Cortical Thickness, Br...

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Metrology for Extended Reality, Artificial intelligence and Neural Engineering (MetroXRAINE), IEEE international conference on

作者： Emma Tassi Federica Goffi Carolina Bonivento Maddalena Mauri Nivedita Agarwal Rossano Girometti Yvan Torrente Anna Maria Bianchi Maria Nobile Eleonora Maggioni Paolo Brambilla Dept. of Neurosciences and Mental Health IRCCS Ca’ Granda Ospedale Maggiore Policlinico Milan Italy Department of Electronics Information and Bioengineering Politecnico di Milano Milan Italy Polo FVG Scientific Institute IRCCS ‘Eugenio Medea’ Pasian di Prato Udine Italy Child Psychopathology Unit Scientific Institute IRCCS Eugenio Medea Bosisio Parini Italy PhD program in Neuroscience School of Medicine and Surgery University of Milano-Bicocca Milan Italy Neuroimaging Lab Scientific Institute IRCCS E. Medea Bosisio Parini Italy Department of Medicine Institute of Radiology University of Udine Udine Italy Department of Pathophysiology and Transplantation Universita degli Studi di Milano Milan Italy

ISBN: (数字)9798350378009

ISBN: (纸本)9798350378016

The intricate relationship between emotional and behavioral traits and brain anatomy and function during childhood and adolescence is crucial for elucidating the neurobiological basis of diverse psychopathological disorders but it still largely unknown. In this study, we aimed to quantitatively evaluate the multivariate patterns of association between brain activity, cortical brain characteristics, and core clinical and behavioral features in a sample of forty subjects with age ranging between 11–21 years who were referred for emotional-behavioral problems. By exploiting a multi-block partial least square discriminant analysis (MBPLS-DA) framework, we attempt to explain the multivariate relations among the Child Behavior Checklist (CBCL) and brain structure and function assessed via magnetic resonance imaging (MRI). Based on individual importance of each block, our findings showed a prominent contribution of regional cortical thickness data in explaining the variance of CBCL scales. By analyzing each block's loadings individually, a prominent positive association was found among regional cortical thickness in paracentral, lateral occipital cortex, precuneus and CBCL composite scores of psychotic, autism spectrum disorder risk profiles and withdrawn scale. Furthermore, the same CBCL scores were also found positively associated with functional connections involving regions of anterior and median cingulate cortex, caudate nucleus, inferior parietal lobule and angular gyrus. Our investigation suggests a key role of brain structure and function in shaping behavioral traits that might be predispose to psychopathology during childhood and adolescence. The proposed MBPLS-DA application promotes broader adoption of this technique across diverse and multimodal MRI and clinical datasets.

关键词： Brain Magnetic resonance imaging Computed tomography Loading Neural engineering Focusing Metrology Resonance Thickness measurement Periodic structures

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Towards Developing Adaptive Robot Controllers for Children with Upper Limb Impairments - Initial Data Collection and analysis 14th

Towards Developing Adaptive Robot Controllers for Children w...

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14th international conference on Social robotics, ICSR 2022

作者： Jouaiti, Melanie Azizi, Negin Lawrence, Steven Dautenhahn, Kerstin Electrical and Computer Engineering Department University of Waterloo 200 University Ave WaterlooONN2L3G1 Canada David R. Cheriton School of Computer Science University of Waterloo 200 University Ave WaterlooONN2L3G1 Canada

ISBN: (纸本)9783031246692

Between 2% to 5% of children are affected by Development Coordination Disorders in Canada and have been diagnosed with upper limb impairments, which affect their daily life by reducing their autonomy. The vast diversity of motor impairments and their severity make adaptive solutions imperative when children use a joystick. However, currently those joystick need to be manually tuned and there exists no off-the-shelf affordable adaptive joystick that those children could use to play computer games. The long term of our project is to develop such a joystick. The first step towards that goal consists in collecting joystick data from children with upper limb impairments. In this paper, children with upper limb impairments played a computer game where they navigated a simulated robot through a maze. We analyzed their joystick data and observed a great heterogeneity and variability in the data which made it difficult for the classifier we trained to distinguish between them. This highlights challenges for machine learning techniques that would require fine granularity in terms of the statistical features of each joystick axis as well as temporal variation. These results provide crucial insights for the future development of adaptive robot controllers to support robot-assisted play for children with upper limb challenges. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Computer games

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Microfluidic Lab-on-a-Chip Design and analysis for GFAP Biomarker Detection Using Machine Learning Algorithms

Microfluidic Lab-on-a-Chip Design and Analysis for GFAP Biom...

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Communication, Control and Intelligent Systems (CCIS)

作者： P. Balaji D. Devasena P. Rithick T. Karthi K. Rishmitha R. Roopa Dept. of. Electronics and Instrumentation Engineering Sri Ramakrishna Engineering College Coimbatore Tamilnadu Dept. of Robotics and Automation Engineering Sri Ramakrishna Engineering College Coimbatore Tamilnadu Dept. of Automobile Engineering Kongu Engineering College Erode India Dept. of Artificial Intelligence and Data Science Arjun College of Technology Coimbatore Tamilnadu

ISBN: (数字)9798331528201

ISBN: (纸本)9798331528218

The detection of Glial Fibrillary Acidic Protein (GFAP) is a crucial biomarker for diagnosing neurological conditions such as traumatic brain injuries (TBI) and astrocytoma. This paper presents the design and analysis of a novel microfluidic Lab-on-a-Chip (LoC) platform for GFAP biomarker detection. The system integrates microfluidic channels with embedded gold nanoparticle-functionalized electrochemical sensors for high-sensitivity biomarker capture. The microfluidic chip is designed using soft lithography and PDMS (Polydimethylsiloxane), allowing for precise fluid handling and minimal sample consumption. The electrochemical sensors generate voltage signals corresponding to GFAP concentration levels, which are processed using digital filtering techniques to mitigate noise and improve signal quality. For accurate biomarker quantification, machine learning algorithms, including Random Forest ,KNN and Support Vector Machine (SVM), are employed to classify sensor output data into clinically significant concentration ranges. The model is trained on both simulated and experimentally collected sensor data, achieving an accuracy of over 93 percent in distinguishing low (below 50 ng/mL) and high (above 50 ng/mL) GFAP concentrations. The combination of microfluidic precision, sensitive electrochemical detection, and data analysis enables rapid and reliable detection of GFAP , providing a scalable and portable solution for early diagnosis of brain injuries and neurodegenerative diseases. This system highlights the potential of integrating microfluidics and machine learning in next-generation point-of-care diagnostic devices.

关键词： Support vector machines Soft lithography Machine learning algorithms Accuracy Data analysis Lab-on-a-chip Sensor systems Biosensors Microfluidics Brain injuries

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An Experimental Study on 5G Mobility Management: A Drive Test Approach

An Experimental Study on 5G Mobility Management: A Drive Tes...

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international conference on Communications, Signal Processing, and their Applications (ICCSPA)

作者： Ayman A. El-Saleh Abdulraqeb Alhammadi Majan Abdullah Al Jahdhami Adnan Kabbani Ibraheem Shayea Siva Priya Thiagarajah College of Engineering A'Sharqiyah University (ASU) Ibra Oman Center for Artificial Intelligence and Robotics (CAIRO) Malaysia-Japan International Institute of Technology Universiti Teknologi Malaysia (UTM) Kuala Lumpur Malaysia Department of Electronics and Communication Engineering Istanbul Technical University (ITU) Istanbul Turkey Faculty of Engineering Multimedia University Cyberjaya Selangor Malaysia

ISBN: (数字)9798350384819

ISBN: (纸本)9798350384826

Drive testing plays a crucial role in assessing and optimizing the performance of mobile networks for operators. With the transition from fourth-generation (4G) to fifth-generation (5G) networks, it becomes essential to evaluate and compare the performance of these technologies in real-world scenarios. Drive test real measurement data assumes a central role in optimizing mobile networks. Operators gain invaluable insights into critical factors such as signal quality, data throughput, and handover events by conducting physical drive tests. This empirical data empowers them to identify areas with inadequate coverage, optimize antenna settings, refine handover parameters, and strategically deploy additional base stations. This paper provides symmetrical performance analyses based on an experimental study of operating 5G cellular networks in Muscat, Oman. The data measurement campaign was collected using mobile devices from three mobile network providers (Omantel, Ooredoo, and Vodafone). The network's performance was evaluated using various metrics, including channel quality indicators, data rates and handover events. Assessment results show that the leading networks in the measured area are 5G networks for all mobile network providers. While 5G has showcased incremental improvements over 4G in some instances, it's still in its nascent phase. Recommendations include continuous network monitoring by operators and augmented 5G base station deployment to heighten the quality of service by ensuring higher data rates and minimal latency.

关键词： Antenna measurements Base stations 5G mobile communication Urban areas Quality of service Handover Signal processing Throughput Performance analysis Testing

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Development of an abnormal gait analysis system in gait exercise assist robot "Welwalk" for hemiplegic stroke patients 8

Development of an abnormal gait analysis system in gait exer...

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8th IEEE RAS and EMBS international conference on Biomedical robotics and Biomechatronics (BioRob)

作者： Nakashima, Issei Imoto, Daisuke Hirano, Satoshi Mukaino, Masahiko Imaida, Masayuki Saitoh, Eiichi Otaka, Yohei Toyota Motor Co Ltd Toyoya Aichi 4700309 Japan Fujita Hlth Univ Hosp Toyoake Aichi 4701192 Japan Fujita Hlth Univ Sch Med Dept Rehabil Med 1 Toyoake Aichi 4701192 Japan

ISBN: (纸本)9781728159072

Welwalk WW-1000 is a gait exercise robotic assist system that allows subjects to walk on treadmill by attaching a knee-ankle-foot robot to a paralyzed limb. Abnormal gait patterns during exercise using Welwalk WW-1000 are evaluated by gait observation or marker-based motion analysis systems. However, gait observation is a subjective and ordinal measure, and marker-based motion analysis systems are challenging to implement due to the complexity of preparing equipment and attaching markers to subjects. In this study, we propose the Welwalk WW-2000 system, which incorporated a marker-less motion analysis system that detects abnormal gait patterns during exercise using the robotic system. Using this system, it is expected that a gait exercise program can be planned from easily obtainable, objective information. This system detects the features of abnormal gait patterns using the body position coordinates of the subject obtained from three-dimensional, inertial, knee angle, and load sensors. The purpose of this study was to validate the marker-less motion analysis system against marker-based motion analysis systems. One healthy male simulated the seven abnormal gait patterns which occur frequently in stroke patients, with four grades of severity. Spearman's rank correlation coefficients were calculated for the relationship between the abnormal gait pattern parameters calculated by each motion analysis system. The correlations between the two systems ranged from 0.81 to 0.95. Therefore, it was confirmed that the marker-less motion analysis system of the Welwalk WW-2000 was valid.

关键词： robotics

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analysis of GraphSum's Attention Weights to Improve the Explainability of Multi-Document Summarization 2021

Analysis of GraphSum's Attention Weights to Improve the Expl...

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23rd international conference on Information Integration and Web intelligence, iiWAS 2021

作者： Lautaro Hickmann, M. Wurzberger, Fabian Hoxhalli, Megi Lochner, Arne Töllich, Jessica Scherp, Ansgar University Ulm Germany

ISBN: (纸本)9781450395564

Modern multi-document summarization (MDS) methods are based on transformer architectures. They generate state of the art summaries, but lack explainability. To overcome this, we analyze the attention weights of a graph-based MDS such as GraphSum. We compare GraphSum's performance utilizing different textual units, i. e., sentences versus paragraphs, on two MDS benchmark datasets, namely WikiSum and MultiNews. Our experiments show that paragraph-level representations provide the best summarization performance. Subsequently, we focus on analyzing the paragraph-level attention weights of GraphSum's multi-heads and decoding layers. Furthermore, we examine source origin information via text similarity over a ROUGE-based reference metric. We observe a high correlation between the attention weights and our reference metric, especially on the later decoding layers. Finally, we investigate if the generated summaries follow a pattern of positional bias. Our results show that there is a high correlation between the position of paragraphs in the input documents and the content provided for the generated summary. © 2021 ACM.

关键词： Graphic methods

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Experimental analysis of Impact Forces in Constrained Collisions According to ISO/TS 15066

Experimental Analysis of Impact Forces in Constrained Collis...

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IEEE international conference on intelligence and Safety for robotics (ISR)

作者： Robin Jeanne Kirschner Nico Mansfeld Saeed Abdolshah Sami Haddadin Institute for Robotics and System Intelligence Munich School of Robotics and Machine Intelligence Technical University of Munich Munich Germany Technical University of Munich Munich Germany

For the user of a collaborative robot, it is important to select robot parameters and trajectories such that the task is fulfilled while ensuring human safety at the same time. In human robot interaction (HRI), constrained collisions can be particularly hazardous to the human and recently, collision test devices were developed that assess safety in such scenarios. In this paper, we propose the concept of a constrained collision force map (CCFM), which relates the robot impact velocity and the collision reaction method its parameterization to the peak collision force in a constrained collision scenario. The CCFM is a tool that will help practitioners to implement both safe and efficient HRI applications and to understand the robot's collision behavior. In this work, we derive the CCFM for three robots (UR10e, UR5e, and Franka Emika Panda) for varying contact thresholds, contact stiffnesses, and robot poses. Finally, we compare our results with the force estimation suggested by ISO/TS 15066:2016.

关键词： conferences Force Human-robot interaction Estimation Tools Safety Trajectory

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A differential public PUF design for lightweight authentication 16

A differential public PUF design for lightweight authenticat...

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2021 international conference on Synthesis, Modeling, analysis and Simulation Methods and Applications to Circuit Design, SMACD 2021 and 16th conference on PhD Research in Microelectronics and Electronics, PRIME 2021

作者： Duan, Shengyu Sai, Gaole School of Computer Engineering and Science Shanghai University Shanghai200444 China State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences China Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences China CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institutes of Advanced Technology China

ISBN: (纸本)9783800755899

Physical Unclonable Functions (PUFs) have emerged as a promising primitive to provide a hardware keyless security mechanism for integrated circuit applications. Public PUFs (PPUFs) address the crucial PUF vulnerability of requiring databases to store the secrete reference information. This paper investigates one of the PPUF families, differential PPUF (dPPUF), which exploits complexly interacted logic to create time gap between actual execution and simulation, and to prevent simulation attacks. Conventional dPPUFs have high costs. We observe the repressers have large impact on simulation time, but take a great proportion in current dPPUF structure. We thereby present a represser network with specially designed interconnection and shared logic, to maintain a high circuit complexity and to reduce the area cost. We show the proposed dPPUF has similar resilience over simulation attacks as the conventional design. Area cost can be reduced by up to 44%, and thus the proposed design can be used for lightweight authentication. © VDE VERLAG GMBH.

关键词： Authentication

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Simple Synthetic Memories of Robotic Touch 12th

Simple Synthetic Memories of Robotic Touch

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Proceedings of the 12th international conference on Biomimetic and Biohybrid Systems, Living Machines 2023

作者： Salazar, Pablo J. Prescott, Tony J. Department of Computer Science and Sheffield Robotics University of Sheffield SheffieldS1 4DP United Kingdom

ISBN: (纸本)9783031388569

It has been previously demonstrated in robots that the mimicking of functional characteristics of biologic memory can be beneficial for providing accurate learning and recognition in circumstances of social human-robot-interaction. The effective encoding of social and physical salient features has been demonstrated through the use of Bayesian Latent Variable Models as abstractions of memories (Simple Synthetic Memories). In this work, we explore the capabilities of formation and recall of tactile memories associated to the encoding of geometric and spatial qualities. Compression and pattern separation are evaluated against the use of raw data in a nearest neighbour regression model, obtaining a substantial improvement in accuracy for prediction of geometric properties of the stimulus. Additionally, pattern completion is assessed with the generation of ‘imagined touch’ streams of data showing similarities to real world tactile observations. The use of this model for tactile memories offers the potential for robustly perform sensorimotor tasks in which the sense of touch is involved. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： Encoding (symbols)

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