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Digital Twin Driven Intelligent Systems and Emerging Metaverse 1

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2023年

作者： Enis Karaarslan Ömer Aydin Ümit Cali Moharram Challenger

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A Novel Hyper Chaotic-Cellular Automata Based Medical Image Encryption Technique 3

A Novel Hyper Chaotic-Cellular Automata Based Medical Image ...

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3rd IEEE International Conference on Electronic engineering, ICEEM 2023

作者： El-Shafai, Walid Naguib, Ahmed Shokair, Mona Prince Sultan University Security Engineering Lab Computer Science Department Riyadh11586 Saudi Arabia Menoufia University Faculty of Electronic Engineering Department of Electronics and Electrical Communications Engineering Menouf32952 Egypt 6 October University Faculty of Electrical Engineering Egypt

ISBN: (纸本)9798350323511

The security of healthcare and telemedicine systems stands as a matter of paramount importance, necessitating extensive research. In the upcoming years, the medical industry envisions widespread adoption of advanced telemedicine applications. With healthcare smart devices becoming increasingly interconnected through the Internet, enabling convenient access from any location, the protection of sensitive and private information, such as personal medical images, emerges as a critical focal point. As a result, the encryption of medical images assumes a pivotal role within the domain of telemedicine and healthcare applications. This article introduces a highly efficient cryptographic system designed to enhance the protection of medical images by harnessing the power of cellular automata techniques in conjunction with hyper-chaotic procedures. In the proposed medical image encryption technique, a layered cellular automata approach is embraced, and a pseudorandom sequence derived from a four-dimensional hyper-chaotic system is employed as the cryptographic key. The study encompasses both grayscale and color images. Several assessment criteria, including the Number of Changing Pixel Rate (NPCR), Unified Averaged Changed Intensity (UACI), average entropy, correlation coefficients, Structural Similarity (SSIM), Feature Similarity (FSIM), and Peak Signal-to-Noise Ratio (PSNR), are employed to evaluate the suggested cryptosystem. These evaluations vividly underscore the robust security performance exhibited by the proposed approach. © 2023 IEEE.

关键词： Entropy

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Real-Time Facial Expression Recognition using Facial Landmarks and Neural Networks 12

Real-Time Facial Expression Recognition using Facial Landmar...

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12th Iranian/2nd International Conference on Machine Vision and Image Processing, MVIP 2022

作者： Haghpanah, Mohammad A. Saeedizade, Ehsan Masouleh, Mehdi Tale Kalhor, Ahmad University of Tehran Human and Robot Interaction Lab School of Electrical and Computer Engineering Tehran Iran University of Nevada Department of Computer Science and Engineering Reno United States

ISBN: (纸本)9781665412162

This paper presents a lightweight algorithm for feature extraction, classification of seven different emotions, and facial expression recognition in a real-time manner based on static images of the human face. In this regard, a Multi-Layer Perceptron (MLP) neural network is trained based on the foregoing algorithm. In order to classify human faces, first, some pre-processing is applied to the input image, which can localize and cut out faces from it. In the next step, a facial landmark detection library is used, which can detect the landmarks of each face. Then, the human face is split into upper and lower faces, which enables the extraction of the desired features from each part. In the proposed model, both geometric and texture-based feature types are taken into account. After the feature extraction phase, a normalized vector of features is created. A 3-layer MLP is trained using these feature vectors, leading to 96% accuracy on the test set. © 2022 IEEE.

关键词： Emotion Recognition

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Physics-Grounded Differentiable Simulation for Soft Growing Robots

Physics-Grounded Differentiable Simulation for Soft Growing ...

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IEEE International Conference on Soft Robotics (RoboSoft)

作者： Lucas Chen Yitian Gao Sicheng Wang Francesco Fuentes Laura H. Blumenschein Zachary Kingston Department of Computer Science CoMMA Lab Purdue University RAAD Lab School of Mechanical Engineering Purdue University

ISBN: (数字)9798331520205

ISBN: (纸本)9798331520212

Soft-growing robots (i.e., vine robots) are a promising class of soft robots that allow for navigation and growth in tightly confined environments. However, these robots remain challenging to model and control due to the complex interplay of the inflated structure and inextensible materials, which leads to obstacles for autonomous operation and design optimization. Although there exist simulators for these systems that have achieved qualitative and quantitative success in matching high-level behavior, they still often fail to capture realistic vine robot shapes using simplified parameter models and have difficulties in high-throughput simulation necessary for planning and parameter optimization. We propose a differentiable simulator for these systems, enabling the use of the simulator "in-the-loop" of gradient-based optimization approaches to address the issues listed above. With the more complex parameter fitting made possible by this approach, we experimentally validate and integrate a closed-form nonlinear stiffness model for thin-walled inflated tubes based on a first-principles approach to local material wrinkling. Our simulator also takes advantage of data-parallel operations by leveraging existing differentiable computation frameworks, allowing multiple simultaneous roll-outs. We demonstrate the feasibility of using a physics-grounded nonlinear stiffness model within our simulator, and how it can be an effective tool in sim-to-real transfer. We provide our implementation open source.

关键词： Shape Navigation Computational modeling Fitting Soft robotics Planning Optimization Design optimization

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ASFM: Augmented Social Force Model for Legged Robot Social Navigation 23

ASFM: Augmented Social Force Model for Legged Robot Social N...

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

作者： Ægidius, Sebastian Chacón-Quesada, Rodrigo Delfaki, Andromachi Maria Kanoulas, Dimitrios Demiris, Yiannis Imperial College London Personal Robotics Lab Department of Electrical and Electronic Engineering LondonSW7 2AZ United Kingdom University College London Robot Perception and Learning Lab Department of Computer Science Gower Street LondonWC1E 6BT United Kingdom Ai Centre Department of Computer Science Ucl United Kingdom Archimedes/Athena Rc Greece

ISBN: (纸本)9798350373578

Social navigation in robotics primarily involves guiding mobile robots through human-populated areas, with pedestrian comfort balanced with efficient path-finding. Although progress has been seen in this field, a solution for the seamless integration of robots into pedestrian settings remains elusive. In this paper, a social force model for legged robots is developed, utilizing visual perception for human localization. In particular, an augmented social force model is introduced, incorporating refined interpretations of repulsive forces and avoidance behaviors based on pedestrian actions, alongside a target following mechanism. Experimental evaluation on a quadruped robot, through various scenarios, including interactions with oncoming pedestrians, crowds, and obstructed paths, demonstrates that the proposed augmented model significantly improves upon previous baseline methods in terms of chosen path length, average velocity, and time-to-goal for effective and efficient social navigation. The code isopen-source, while video demonstrations can be found on the project's webpage: https://***/ASFM/ © 2024 IEEE.

关键词： Mobile robots

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A Novel Approach for Service Selection and Ranking in Federated Cloud 1

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5th International Conference on Information Systems and Management science, ISMS 2022

作者： Saxena, Rajat Dubey, Shatendra Kumar, Upanshu Cloud Computing Lab Department of Computer Science and Engineering Shri Vaishnav Institute of Information Technology Shri Vaishnav Vidyapeeth Vishwavidyalaya Indore India Department of Information Technology NRI Institute of Information Science and Technology Bhopal India

ISBN: (数字)9783031311536

ISBN: (纸本)9783031311529

In Federated Cloud environment, Cloud service ranking and selection is a very tedious work because of complexion involved Service Level Agreement (SLA) and Service specifications. Quality of Service (QoS) expected from Cloud users may be conflicting based on their applications. Cloud Brokers needs to be deal with Cloud users and Federated cloud like a heterogeneous interface. A Cloud Brokers also fulfils many suitable services from available resources. Cloud Broker also choose the federated cloud services based on their rank for available service. Noncommercial and conflicting demands of users evolves Cloud Service Selection a very competitive multi-criteria based service ranking and selection problem. Cloud User requests from different federated clouds based on some preference order of QoS parameters. This preference order converts into individual QoS parameters by assigning suitable weight. The weighted demands are estimated the available QoS values for each cloud service. In the next step, modified VIKOR method is applied for finding the rank of the services. This rank of service is based on preference of QoS parameters. The service with highest rank is selected and provided to the user. We used CloudSim for the testing of this method. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Quality of service

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Optimizing Energy Efficiency via Small Cell-Controlled Power Management for Seamless Data Connectivity 27th

Optimizing Energy Efficiency via Small Cell-Controlled Powe...

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27th International Conference on Distributed computer and Communication Networks, DCCN 2024

作者： Shabbir, Amna Ahmad, Sadique Azhar, Madeeha Rizvi, Safdar Ali Kushchazli, Anna Ateya, Abdelhamied Ashraf Department of Electronic Engineering NED UET Karachi Pakistan EIAS Data Science and BlockChain Lab CCIS Prince Sultan University Riyadh Saudi Arabia Department of Telecommunication Engineering NED UET Karachi Pakistan Computer Science Department Bahria University Karachi Campus Karachi Pakistan RUDN University 6 Miklukho-Maklaya Street Moscow Russia Zagazig University Zagazig Egypt

ISBN: (纸本)9783031808524

The growing importance of energy-efficient networks capable of handling high data rates poses a significant concern for network operators. With the evolution of new mobile data network standards, there has been a surge in the number of subscribers and an increased demand for high-speed data traffic, enabling seamless streaming of social media content within seconds. Network operators are tasked with meeting consumer satisfaction, and to achieve high data rates and good signal quality, they have adopted the deployment of small cells. In this research, energy efficiency is enhanced through an investigation of the small cell-controlled scheme, which is then extended to incorporate a power control strategy based on throughput measurements. Additionally, energy consumption is reduced by adjusting the transmit power based on traffic patterns. Specifically, during periods of normal traffic, the power utilization is set at 40% of the total power, while in times of increased traffic intensity, 60% of the total power is allocated. This traffic intensity-based power distribution scheme results in a 13–15% increase in energy efficiency compared to the small cell-controlled sleep mode. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： energy efficiency power control power distribution small cell

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Shrinking VOD Traffic via Rényi-Entropic Optimal Transport 24

Shrinking VOD Traffic via Rényi-Entropic Optimal Transport

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2024 ACM SIGMETRICS/IFIP Performance Conference on Measurement and Modeling of computer Systems, SIGMETRICS/PERFORMANCE 2024

作者： Lo, Chi-Jen [roger] Marina, Mahesh K. Sastry, Nishanth Xu, Kai Fadaei, Saeed Li, Yong Department of Engineering University of Cambridge United Kingdom School of Informatics The University of Edinburgh United Kingdom School of Computer Science University of Surrey United Kingdom MIT-IBM Watson AI Lab CambridgeMA United States Department of Electronic Engineering Tsinghua University China

ISBN: (纸本)9798400706240

In response to the exponential surge in Video on Demand (VOD) traffic, numerous research endeavors have concentrated on optimizing and enhancing infrastructure efficiency. In contrast, this paper explores whether users' demand patterns can be shaped to reduce the pressure on infrastructure. Our main idea is to design a mechanism that alters the distribution of user requests to another distribution which is much more cache-efficient, but still remains 'close enough' (in terms of cost) to fulfil individual user's preference. © 2024 Copyright held by the owner/author(s).

关键词： Video on demand

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SoftPatch: Unsupervised Anomaly Detection with Noisy Data

arXiv

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arXiv 2024年

作者： Jiang, Xi Liu, Jianlin Wang, Jinbao Liu, Yong Nie, Qian Wang, Chengjie Wu, Kai Zheng, Feng Southern University of Science and Technology Department of Computer Science and Engineering China Tencent Youtu Lab China

Although mainstream unsupervised anomaly detection (AD) algorithms perform well in academic datasets, their performance is limited in practical application due to the ideal experimental setting of clean training data. Training with noisy data is an inevitable problem in real-world anomaly detection but is seldom discussed. This paper considers label-level noise in image sensory anomaly detection for the first time. To solve this problem, we proposed a memory-based unsupervised AD method, SoftPatch, which efficiently denoises the data at the patch level. Noise discriminators are utilized to generate outlier scores for patch-level noise elimination before coreset construction. The scores are then stored in the memory bank to soften the anomaly detection boundary. Compared with existing methods, SoftPatch maintains a strong modeling ability of normal data and alleviates the overconfidence problem in coreset. Comprehensive experiments in various noise scenes demonstrate that SoftPatch outperforms the state-of-the-art AD methods on the MVTecAD and BTAD benchmarks and is comparable to those methods under the setting without noise. Copyright © 2024, The Authors. All rights reserved.

关键词： Anomaly detection

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Incomplete intuitionistic fuzzy behavioral group decision-making based on multigranulation probabilistic rough sets and MULTIMOORA for water quality inspection

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Journal of Intelligent and Fuzzy Systems 2023年第3期44卷 4537-4556页

作者： Bai, Wenhui Zhang, Chao Zhai, Yanhui Sangaiah, Arun Kumar School of Computer and Information Technology Key Lab. of Computational Intelligence and Chinese Information Processing of Ministry of Education Shanxi University Shanxi Taiyuan China International Graduate Institute of Artificial Intelligence National Yunlin University of Science and Technology Taiwan Department of Electrical and Computer Engineering Lebanese American University Byblos Lebanon

Water quality inspection (WQI) is one of the primary ways to ensure the safe utilization of water resources, and complicated data modeling, fusion and analysis play a significant role in seeking the resource with the best water quality. Nevertheless, the challenges of missing data, relatively large differences in decision results and bounded rationality owned by decision-makers (DMs) in terms of WQI still exist nowadays. Thus, from the aspect of stable and behavioral decision-making in multi-granularity incomplete intuitionistic fuzzy information systems (MG-IIFISs), the paper investigates a comprehensive multi-attribute group decision-making (MAGDM) approach for the application of WQI. First, the concept of MG-IIFISs is built by modeling MAGDM problems with intuitionistic fuzzy numbers (IFNs), then a new transformation scheme is constructed for transforming MG-IIFISs into multi-granularity intuitionistic fuzzy information systems (MG-IFISs) based on the similarity principle. Second, three types of multigranulation intuitionistic fuzzy probabilistic rough sets (MG IF PRSs) are developed by referring to the MULTIMOORA (Multi-Objective Optimization by Ratio Analysis plus the full MULTIplicative form) method. Afterwards, attribute weights are objectively calculated based on the best-worst method (BWM), and a new stable and behavioral MAGDM approach is constructed by means of the TODIM (an acronym in Portuguese for interactive multi-criteria decision-making) method. At last, a case study in the setting of WQI is conducted with the support of a UCI data set, and sensitivity analysis, comparative analysis and experimental analysis are investigated to display the validity of the proposed approach. In general, the proposed approach improves the stability of decision results via MULTIMOORA and BWM, and also fully considers the bounded rationality of DMs' psychological behaviors from the aspect of the TODIM method, which has certain advantages in the community of MAGDM studie

关键词： Water quality

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