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Federated Conference on computer science and Information Systems (FedCSIS)

作者： Beata Zielosko Urszula Stańczyk Kamil Jabloński University of Silesia in Katowice Institute of Computer Science Sosnowiec Poland Department of Graphics Computer Vision and Digital Systems Silesian University of Technology Gliwice Poland

The paper presents investigations concerning the decision rule filtering process controlled by the estimated relevance of available attributes. In the conducted study, two search directions were used, sequential forward selection and sequential backward elimination. The steps of sequential search were governed by three rankings obtained for variables, all related to characteristics of data and rules that can be induced, as follows, (i) a ranking based on the weighting factor referring to the occurrence of attributes in generated decision reducts, (ii) the OneR ranking exploiting short rule properties, and (iii) the proposed ranking defined through the operation of greedy algorithm for rule induction. The three rankings were confronted and compared from the perspective of their usefulness for the selection of rules performed in the two directions and with two strategies for rule selection. The resulting sets of rules were analysed with respect to the properties of the constituent decision rules and from the point of performance for all constructed rule-based classifiers. Substantial experiments were carried out in the stylometric domain, treating the task of authorship attribution as classification. The results obtained indicate that for all three rankings and search paths it was possible to obtain a noticeable reduction of attributes while at least maintaining the power of inducers, at the same time improving characteristics of rule sets.

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FusionINN: Decomposable Image Fusion for Brain Tumor Monitoring

arXiv

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arXiv 2024年

作者： Kumar, Nishant Tao, Ziyan Singh, Jaikirat Li, Yang Sun, Peiwen Zhao, Binghui Gumhold, Stefan Chair of Computer Graphics and Visualization Faculty of Computer Science Technische Universität Dresden Dresden Germany School of Computer Science and Engineering Shandong University of Science and Technology Qingdao China Department of Radiology Shanghai Tenth People’s Hospital Tongji University Medical School Shanghai China

Image fusion typically employs non-invertible neural networks to merge multiple source images into a single fused image. However, for clinical experts, solely relying on fused images may be insufficient for making diagnostic decisions, as the fusion mechanism blends features from source images, thereby making it difficult to interpret the underlying tumor pathology. We introduce FusionINN, a novel decomposable image fusion framework, capable of efficiently generating fused images and also decomposing them back to the source images. FusionINN is designed to be bijective by including a latent image alongside the fused image, while ensuring minimal transfer of information from the source images to the latent representation. To the best of our knowledge, we are the first to investigate the decomposability of fused images, which is particularly crucial for life-sensitive applications such as medical image fusion compared to other tasks like multi-focus or multiexposure image fusion. Our extensive experimentation validates FusionINN over existing discriminative and generative fusion methods, both subjectively and objectively. Moreover, compared to a recent denoising diffusion-based fusion model, our approach offers faster and qualitatively better fusion results. The source code of the FusionINN framework is available at: https://***/nish03/FusionINN. © 2024, CC BY.

关键词： Image fusion

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Efficient Explainable Face Verification based on Similarity Score Argument Backpropagation

arXiv

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arXiv 2023年

作者： Huber, Marco Luu, Anh Thi Terhörst, Philipp Damer, Naser Fraunhofer Institute for Computer Graphics Research IGD Darmstadt Germany Department of Computer Science TU Darmstadt Darmstadt Germany Paderborn University Paderborn Germany

Explainable Face Recognition is gaining growing attention as the use of the technology is gaining ground in security-critical applications. Understanding why two face images are matched or not matched by a given face recognition system is important to operators, users, and developers to increase trust, accountability, develop better systems, and highlight unfair behavior. In this work, we propose a similarity score argument backpropagation (xSSAB) approach that supports or opposes the face-matching decision to visualize spatial maps that indicate similar and dissimilar areas as interpreted by the underlying FR model. Furthermore, we present Patch-LFW, a new explainable face verification benchmark that enables along with a novel evaluation protocol, the first quantitative evaluation of the validity of similarity and dissimilarity maps in explainable face recognition approaches. We compare our efficient approach to state-of-the-art approaches demonstrating a superior trade-off between efficiency and performance. The code as well as the proposed Patch-LFW is publicly available at: https://***/marcohuber/ xSSAB. Copyright © 2023, The Authors. All rights reserved.

关键词： Face recognition

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Reversing BLE Remote Control Protocols of Dual Channel LED Lamps with CCT and Illumination Control

Reversing BLE Remote Control Protocols of Dual Channel LED L...

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2023 International Conference Automatics and Informatics, ICAI 2023

作者： Kandilarov, Rostislav Yordanov, Yordan University of Ruse 'Angel Kanchev' Faculty of Transport Department of Machine Science Machine Elements Engineering Graphics and Physics Ruse Bulgaria University of Ruse 'Angel Kanchev' Computer Systems and Technologies Faculty of Electrical Engeneering Electronics and Automation Ruse Bulgaria

ISBN: (纸本)9798350312911

In this paper various BLE protocols for communication between remote or Android applications and intelligent dual channel (cool and warm white) LED lamps were reverse engineered. Three protocols were fully decoded and several partially. Replay attack is tested and confirmed working. Demo C++ library was developed and a proof-of-concept firmware for esp32 based development board was used to verify the decoding and the attacks applicability. © 2023 IEEE.

关键词： Light emitting diodes

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Standard representation space for spectral imaging 31

Standard representation space for spectral imaging

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31st Color and Imaging Conference - Color science and Engineering Systems, Technologies, and Applications, CIC 2023

作者： Thomas, Jean-Baptiste Lapray, Pierre-Jean Derhak, Max Farup, Ivar Université de Bourgogne Dpt IEM IMVIA Dijon France Université de Haute-Alsace IRIMAS UR 7499 MulhouseF-68100 France ONYX Graphics Inc. United States Norwegian University of Science and Technology Department of Computer Science Gjøvik Norway

ISBN: (纸本)9780892083640

The variety of spectral imaging systems makes the portability of imaging solutions and the generalization of research difficult. We advocate for the creation of a standard representation space for spectral imaging. We propose a space that allows connection to colorimetric standards and to spectral reflectance factors, while keeping a low and practical dimension. The performance of one instance of this standard is evaluated through simulations. Results demonstrate that this space may show reduced performance in accuracy than some native camera spaces, especially instances with a number of bands larger than the standardized dimension, but this limitation comes with benefit in size and standardization. © 2023 Society for Imaging science and Technology.

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Interactive quality inspection of measured deviations in sheet metal assemblies 2

Interactive quality inspection of measured deviations in she...

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2nd International Conference of the DFG International Research Training Group 2057 - Physical Modeling for Virtual Manufacturing, iPMVM 2020

作者： Claus, Felix Hagen, Hans Leonhardt, Viktor Leitte, Heike Hamann, Bernd Computer Graphics and HCI Lab Computer Science Department Technische Universität Kaiserslautern Germany Scientific Visualization Lab Computer Science Department Technische Universität Kaiserslautern Germany Visual Information Analysis Computer Science Department Technische Universität Kaiserslautern Germany Department of Computer Science University of California DavisCA95616 United States

ISBN: (纸本)9783959771832

We present an exploratory data analysis approach for finite element (FE) simulations to interactively inspect measured deviations in sheet metals arising in automotive applications. Exterior car body parts consist of large visible surfaces, and strict tolerances must be met by them to satisfy both aesthetic requirements and quality performance requirements. To fulfill quality requirements like gap and flushness, exterior vehicle components have adjustable mechanical boundaries. These boundaries are used to influence the shape and position of a sheet metal part relative to its chassis. We introduce a method that supports an inspection engineer with an interactive framework that makes possible a detailed analysis of measured sheet metal deviation fields generated from 3D scans. An engineer can interactively change boundary conditions and obtains the resulting deviation field in real-time. Thus, it is possible to determine viable and desirable adjustments efficiently, leading to time and cost savings in the assembly process. © Felix Claus, Hans Hagen, Viktor Leonhardt, Heike Leitte, and Bernd Hamann.

关键词： Inspection

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Categorization, Detection, and Prevention of Ransomware Attack: A Review 7

Categorization, Detection, and Prevention of Ransomware Atta...

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7th International Conference on Image Information Processing, ICIIP 2023

作者： Pandey, Priyank Jain, Paras Gupta, Ashutosh Gupta, Vishan Kumar Jindal, Himanshu Gupta, Avdhesh Graphics Era Deemed To Be University Department of Cse Dehradun India Vit Bhopal University School of Computing Science And Engineering Madhya Pradesh Sehore India Sir Padampat Singhania University Department of Cse Rajasthan Udaipur India Amity University Punjab Department of Computer Science Mohali India Ajay Kumar Garg Engineering College Department of Cse Ghaziabad India

ISBN: (纸本)9798350371406

Ransomware is a type of malware that targets users like government and business organizations. This malware stops the user from accessing their own data or resource and asks for ransom in return for getting their access back to the resource. It usually locks the screen or locks a particular resource. In recent years this attack has been a flourishing business for the attackers and a huge loss to other parties. In this work, we are giving an overview of ransomware attacks and discussing a detailed review of methodologies present to avoid, analyze, and detect the attack and to protect the user from this attack. By implementing some early preventions and techniques to combat these malicious software's, this study would be the ideal opportunity to coordinate and extend research efforts in the future. Here, we have generated a table for current methodology, its outcomes, and future trends of ransomware. In the last, we reviewed 30 papers, which contained machine learning based methods, results and analysis for the categorization, detection, and prevention of various ransomware attacks. © 2023 IEEE.

关键词： Cryptography

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VibraForge: A Scalable Prototyping Toolkit for Creating Spatialized Vibrotactile Feedback Systems 25

VibraForge: A Scalable Prototyping Toolkit for Creating Spat...

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2025 CHI Conference on Human Factors in Computing Systems, CHI 2025

作者： Huang, Bingjian Ren, Siyi Luo, Yuewen Cheng, Qilong Cai, Hanfeng Sang, Yeqi Sousa, Mauricio Dietz, Paul H Wigdor, Daniel Dynamic Graphics Project Lab University of Toronto Toronto ON Canada Division of Engineering Science University of Toronto Toronto ON Canada Mechanical Engineering University of Toronto Toronto ON Canada Department of Electrical and Computer Engineering University of Toronto Toronto ON Canada Department of Mechanical & Industrial Engineering University of Toronto Toronto ON Canada Reality Labs Research at Meta Toronto ON Canada DGP The University of Toronto Toronto ON Canada Department of Computer Science University of Toronto Toronto ON Canada

ISBN: (纸本)9798400713941

Spatialized vibrotactile feedback systems deliver tactile information by placing multiple vibrotactile actuators on the body. As increasing numbers of actuators are required to adequately convey information in complicated applications, haptic designers find it difficult to create such systems due to limited scalability of existing toolkits. We propose VibraForge, an open-source vibrotactile toolkit that supports up to 128 vibrotactile actuators. Each actuator is encapsulated within a self-contained vibration unit and driven by its own microcontroller. By leveraging a chain-connection method, each unit receives independent vibration commands from a control unit, with fine-grained control over intensity and frequency. We also designed a GUI Editor to expedite the authoring of spatial vibrotactile patterns. Technical evaluation showed that vibration units reliably reproduced audio waveforms with low-latency and high-bandwidth data communication. Case studies of a phonemic tactile display, virtual reality fitness training, and drone teleoperation demonstrated the potential usage of VibraForge within different domains. A usability study with non-expert users highlighted the low technical barrier and customizability of the toolkit. © 2025 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Haptic Toolkit Haptics Multi-Actuator Devices Vibrotactile Feedback Wearable Devices

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Maximization of L1-norm Using Jacobi Rotations

Maximization of L1-norm Using Jacobi Rotations

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European Signal Processing Conference (EUSIPCO)

作者： Adam Borowicz Department of Digital Media and Computer Graphics Faculty of Computer Science Bialystok University of Technology Bialystok Poland

ISBN: (数字)9789082797091

ISBN: (纸本)9781665467995

In recent years, we observe a growing interest in approaches to principal component analysis (PCA) based on L1-norm maximization. Unfortunately, existing L1-PCA algorithms are either computationally expensive or inaccurate. In this paper, we propose to use Jacobi-based rotational framework for solving L1-norm maximization problem. Under this framework, two new suboptimal algorithms are developed: the first one based on exhaustive angle search, and the second one based on a differentiable approximation of the absolute value function. Experimental studies show that the proposed approaches provide high accuracy as compared to the existing suboptimal algorithms. They are also considerably faster than currently the most accurate method based on bit-flipping. Simulation results show that both approaches can be used to perform independent component analysis (ICA) under whitening assumption achieving better robustness to outliers than other methods.

关键词： Jacobian matrices Simulation Signal processing algorithms Independent component analysis Signal processing Approximation algorithms Robustness

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Fuzzy Image Enhancement Based on Algebraic Function and Cycloid Arc Length 3

Fuzzy Image Enhancement Based on Algebraic Function and Cycl...

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3rd IEEE International Conference on Artificial Intelligence in Engineering and Technology, IICAIET 2021

作者： Yang, Libao Zenian, Suzelawati Zakaria, Rozaimi Universiti Malaysia Sabah Faculty of Science and Natural Resources Department of Mathematics with Computer Graphics Kota Kinabalu Malaysia

ISBN: (纸本)9781665428996

Fuzzy image enhancement is an important method in the process of image processing. In this paper, we present two intensifier operators in fuzzy image enhancement process based on algebraic function and cycloid arc length respectively. The first method directly uses the algebraic function as a membership intensifier operator. The second method also using a intensifier operator which established established by the cycloid arc length as the independent variable. In the last section, the test image is experimentally analyzed, and the results show that the method we proposed can improve enhance the contrast of the image. © 2021 IEEE.

关键词： Membership functions

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