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StrideSense: Enriching Lower Extremity and Kinetics in ACLR Patients via Sonic Insights

IEEE Internet of Things Journal 2025年

作者： Ahmed, Awais Yang, Panlong Butt, Abdul Haleem Rizwan, Muhammad Angin, Pelin Khan, Taha Nanjing University of Information Science and Technology University of Science and Technology of China China University of Bologna Department of Biomedical and Neuromotor Sciences Italy Air University Islamabad Department of Creative Technologies Faculty of Computing and Artificial Intelligence Pakistan University of Science and Technology of China School of Computer Science and Technology China Middle East Technical University Department of Computer Engineering Turkey Detectivio AB Sweden

Tearing the anterior cruciate ligament requires repair and rehabilitation to restore lower limb functionality fully. This study outlines a method for monitoring rehabilitation after knee surgery by analyzing footstep sounds and applying deep learning techniques. The process involves examining gait sounds during the initial four weeks of rehabilitation. The suggested system, StrideSense, recognizes walking sounds, enabling seamless and ongoing monitoring of patients' gait rehabilitation. The research proposes a novel method for event detection by analyzing walking patterns using dynamic time-warping and sequential footstep duration. It leverages physiological data like gait sound and energy descriptors to develop a deep-learning model for gait improvement assessment, evaluated by a physiotherapist through lower extremity functional scores. The suggested model, AtdNet, which utilizes Densenet169 and attention mechanisms, achieves 96% accuracy in classifying walking on various post-surgical days. It also predicts lower extremity functional scores with a mean absolute error of 4.63%. A deeper analysis of bone-conducted footstep sounds enriched the acoustic sensing method. We assessed the suggested acoustic model alongside existing methods, showing that rehabilitation monitoring driven by acoustics outperforms traditional clinic-based approach assessments. Future efforts will focus on validating the model with a larger dataset and integrating it into smart homes. © 2014 IEEE.

关键词： Physiological models

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An Efficient Wireless Sensor Network based Intrusion Detection System 2

An Efficient Wireless Sensor Network based Intrusion Detecti...

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2nd IEEE International Conference on Communication, Security and Artificial Intelligence, ICCSAI 2023

作者： Rajassekharan, Dinesh Ramachandran, V. Sharma, Dilip Kumar Palanisamy, Thirumoorthy Myilsam, Y. Varatharaj Poonia, Ramesh Chandra Peninsula College Faculty of Computer Science Malaysia Gitam School of Computing Gitam Deemed to Be University Department of Computer Science and Engineering Bengaluru561203 India Jaypee University of Engineering and Technology Department of Mathematics Madhya Pradesh Guna473226 India Nandha Engineering College Department of Computer Science and Engineering Tamil Nadu Erode India V.S.B College of Engineering Department of Electrical and Electronics Engineering Technical Campus Tamil Nadu Coimbatore642109 India Department of Computer Science Delhi-NCR Uttar Pradesh Ghaziabad201003 India

ISBN: (纸本)9798350369960

Wireless Sensor Networks (WSNs) are widely used in diverse applications due to their cost-effectiveness and versatility. However, they face substantial difficulties because of their innate resource constraints and susceptibility to security attacks. A possible method to improve the security of WSNs is clustering-based intrusion detection and responding mechanisms. An in-depth analysis of the clustering-based intrusion detection and response method for WSNs is presented in this study. The suggested method efficiently uses data mining and machine learning techniques to identify unusual behaviour and probable intrusions. The system effectively analyses data inside clusters by grouping Sensor Nodes (SN) into clusters, allowing it to differentiate between legitimate patterns and insecure activity. The network may respond promptly to identified breaches and react to the responsive mechanism, which reduces their impact and protects network integrity. The proposed Mathematically Modified Gene Populated Spectral Clustering Based Intrusion Detection System and Responsive Mechanism (MMMMGPSC-IDS-RM) is compared with existing state-of-art techniques, and MMMMGPSC-IDS-RM outperforms with the highest detection rate of 96%. © 2023 IEEE.

关键词： IDS machine learning responsive mechanism Spectral clustering WSN

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Security enhancement of LSB-based audio steganography method

Security enhancement of LSB-based audio steganography method

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Zooming Innovation in Consumer Electronics International Conference (ZINC)

作者： Jovana Jezdimirović Nenad Pekez Jelena Kovačević Computing and Control Engineering Department Faculty of Technical Sciences University of Novi Sad Novi Sad Serbia RT-RK Institute for Computer Based Systems LLC Novi Sad Serbia

The rapid development of digital technology has brought about the challenge of ensuring information security. Cryptography and steganography are among the various techniques available to address this challenge. These techniques come in different forms and provide reliable means of securing information and communication. Despite the existence of numerous options, new variations are still emerging. This paper concentrates on Least Significant Bit (LSB) coding, which is one of the most widely recognized and frequently utilized steganography techniques. The advantages of LSB-based coding methods are high capacity and low complexity. However, predictability is an issue. Audio files’ sizes and data redundancy make audio data perfect for steganography, as it is possible to embed large amounts of secret information and easily transmit the signal via various communication channels. However, the use of LSB coding in audio steganography has a drawback due to the extreme sensitivity of the human auditory system (HAS). This means that any noise added to the audio with data embedded in the LSBs can be detected by the HAS, which is dependent on the number of LSBs used. This work presents an improvement of the LSB-based approach, the XORing of LSBs method, with an emphasis on enhanced security. The method achieves this by randomly picking the pairs of bits to be XOR’d while preserving the characteristics of classic LSB methods. To verify the method, it has been implemented on the Cirrus Logic DSP, proving that it may be efficiently used in a real-time audio environment without interfering with HAS sensitivity levels.

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Modified Metaheuristics Optimization for Cyberbullying Detection on Online Data science Platform

Modified Metaheuristics Optimization for Cyberbullying Detec...

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International Symposium on Symbolic and Numeric Algorithms for Scientific computing (SYNASC)

作者： Nebojsa Bacanin Luka Jovanovic Ilja Uzelac Bujisic Catalin Stoean Jelena Kaljevic Jelena Cadjenovic Milos Antonijevic Miodrag Zivkovic Faculty of Informatics and Computing Singidunum University Belgrade Serbia Faculty of Technical Sciences Singidunum University Belgrade Serbia Department of Computer Science University of Craiova Craiova Romania Faculty for Health and Business Studies Singidunum University Belgrade Serbia Department of Business Economics Singidunum University Belgrade Serbia

ISBN: (数字)9798331532833

ISBN: (纸本)9798331532840

Online harassment detection faces significant challenges due to its expansive reach and anonymity. Addressing this issue demands effective detection mechanisms capable of processing vast data streams and adapting to evolving online languages. Leveraging advancements in artificial intelligence, we propose a novel approach grounded in natural language processing (NLP) and metaheuristic algorithms. Our methodology integrates term frequency-inverse document frequency (TF-IDF) encoding and the AdaBoost algorithm for classification. To tackle the NP-hard problem of hyperparameter selection, we introduce a modified crayfish optimization algorithm (COA), termed GI-COA. This paper represents a pioneering effort in utilizing metaheuristic algorithms for hyperparameter selection in harassment detection models. Through experimentation, we demonstrate the efficacy of our approach in fostering a safer online environment. The best-performing optimized models demonstrate an accuracy exceeding 77%.

关键词： Accuracy Scientific computing NP-hard problem Biological system modeling Metaheuristics Natural language processing Encoding Classification algorithms Numerical models Streams

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Integrated design of system structure and delayed resonator towards efficient non-collocated vibration absorption

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Journal of Sound and Vibration 2025年 612卷

作者： Peichl, Adam Kuře, Matěj Michiels, Wim Vyhlídal, Tomáš Department of Instrumentation and Control Engineering Faculty of Mechanical Engineering Czech Technical University in Prague Technická 4 Prague 6166 07 Czech Republic Department of Computer Science KU Leuven Celestijnenlaan 200A HeverleeB-3001 Belgium

The problem of non-collocated vibration absorption by a delayed resonator is addressed with emphasis on system fatigue resistance and energy efficiency of control actions. The analysis is performed for a system consisting of an arbitrary large series of flexibly linked single-degree-of-freedom masses. For the stage where the vibration of the target mass is fully absorbed by the non-collocated resonator, key forces, motion amplitudes and potential energies across the system structure are assessed. Next, a complete parameter set of the resonator gain and delay is derived, and the actuation force and power needed by the resonator for the full vibration absorption is determined. The derived quantities are utilized in forming an optimization problem to balance minimal risk of fatigue across the system structure and power needed by the resonator, under the closed loop stability and parameter constraints. Next to the gain and delay of the resonator, selected structural parameters of the system are used as variables in the constrained nonlinear optimization problem. Experimental and numerical case studies are included to demonstrate benefits of the proposed integrated structural and control design. © 2025 The Authors

关键词： Structural health monitoring

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Solutions for Digital Interaction of a Resilient Energy Community in a Service-oriented Framework 12

Solutions for Digital Interaction of a Resilient Energy Comm...

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12th International Conference and Exposition on Electrical and Power Engineering, EPE 2022

作者： Sanduleac, Mihai Ionescu, Constantin Mandis, Alexandru Gropa, Victor Efremov, Cristina Sanduleac, Vlad Department of Power Systems Faculty of Energy Engineering University Politehnica of Bucharest Bucharest Romania Dep. of Energy Generation and Use Faculty of Energy Engineering University Politehnica of Bucharest Bucharest Romania Faculty of Energetics and Electrical Engineering Technical University of Moldova Chisinau Moldova Department of Computer Science and Engineering Faculty of Automatic Control and Computers University Politehnica of Bucharest Romania

ISBN: (数字)9781665489942

ISBN: (纸本)9781665489942

Energy communities are emerging entities which need their own Information and Communication System. Resilience is a key metric of such communities, and it has to be implemented for both energy supply versus public network outages and for its information system versus cyber-attacks, acting as cyber-citadels which have to resist external malicious attacks while having also digital interactions with external entities. The paper presents solutions for a resilient energy community with appropriate implementations of digital interaction for data exchange, in order to acquire external energy service for specialized companies and to deliver also information and communication-related services for external users. Principles of a Contractual Data Protection Regulation are presented, as an adaptation of data protection tailored for automated energy services and based on secure data exchange. The principles are verified in a demonstration project which has also external entities with digital interaction. © 20XX IEEE.

关键词： Cybersecurity

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Parameterized Problems Complete for Nondeterministic Fpt Time and Logarithmic Space

SSRN

引用

SSRN 2023年

作者： Bodlaender, Hans Leo Groenland, Carla Nederlof, Jesper Swennenhuis, Céline Department of Information and Computing Sciences Utrecht University Netherlands Faculty of Electrical Engineering Mathematics and Computer Science Technical University Delft Netherlands Department of Mathematics and Computer Science Eindhoven University of Technology Eindhoven Netherlands

Let XNLP be the class of parameterized problems such that an instance of size n with parameter k can be solved nondeterministically in time $f(k)n^{O(1)}$ and space $f(k)\log(n)$ (for some computable function f). We give a wide variety of XNLP-complete problems, such as List Coloring andmPrecoloring Extension with pathwidth as parameter, Scheduling of Jobs with Precedence Constraints, with both number of machines and partial order width as parameter, Bandwidth and variants of Weighted CNF-Satisfiability. In particular, this implies that all these problems are W[t]-hard for all t. This also answers a long standing question on the parameterized complexity of the Bandwidth problem. © 2023, The Authors. All rights reserved.

关键词： Bandwidth

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One Solution for Deterministic Scheduling on GPU for Automotive Algorithms

One Solution for Deterministic Scheduling on GPU for Automot...

引用

2021 Zooming Innovation in Consumer Technologies Conference, ZINC 2021

作者： Kenjic, Dusan Milosevic, Milena Antic, Marija Teslic, Nikola University of Novi Sad Faculty of Technical Sciences Department of Computing and Control Engineering Novi Sad Serbia RT-RK Institute for Computer Based Systems Novi Sad Serbia

ISBN: (纸本)9781665404174

In order for higher levels of autonomous driving to be achieved, the demanding environmental perception and decision-making algorithms are developed. Meeting real-time system requirements is a mandatory task for all of these algorithms to be properly utilized. In order to meet these requirements, GPUs are widely used, and one of the biggest challenges is providing the deterministic scheduling of different tasks on GPU based on their priority classes. The complete determinism which ensures the absolute control of processes on GPU has still not been achieved. In this paper, we propose and evaluate one method that allows scheduling of tasks with different types of time constraints. © 2021 IEEE.

关键词： Scheduling

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Sharding:A Scalability Solutions for Blockchain Networks

Sharding:A Scalability Solutions for Blockchain Networks

引用

Blockchain and Distributed Systems Security (ICBDS), IEEE International Conference on

作者： Dattatray Raghunath Kale Amolkumar N Jadhav Kruishna Prasad K Somanath Janardan Salunkhe Sumit Hirve Chandrashekhar Goswami Department of Computer Science & Engg MIT School of Computing MIT Art Design and Technology University Pune India Department of Computer Science & Engg Annasaheb Dange College of Engineering and Technology Ashta India Department of Computer Science & Engg Shrinivas University Mangalore India Department of Computer Science & Engg D Y Patil Agriculture and Technical University India Faculty of Computing and Informatics Sir Padampat Singhania University Udaipur Rajasthan

ISBN: (数字)9798350354348

ISBN: (纸本)9798350354355

Blockchain technology's decentralized and immutable data storage has changed a number of sectors. But typical blockchain networks scalability issues prevent them from being widely used for large-scale applications. By dividing the blockchain network into smaller, more controllable sections known as shards, sharding has become a viable remedy for scalability issues. This paper offers a thorough introduction to sharding as a blockchain network scalability solution. We explore the basic ideas of sharding as well as its advantages, drawbacks, and several sharding strategies. We also analyze experimental results and real-world implementations to assess how well sharding contributes to increased blockchain scalability. Lastly, we talk about possible developments in sharding approaches and future research paths to further improve the scalability of blockchain networks.

关键词： Industries Sharding Scalability Memory Throughput Blockchains Security

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CONSTRAINED CONSENSUS-BASED OPTIMIZATION AND NUMERICAL HEURISTICS FOR THE FEW PARTICLE REGIME

arXiv

引用

arXiv 2024年

作者： Beddrich, Jonas Chenchene, Enis Fornasier, Massimo Huang, Hui Wohlmuth, Barbara Faculty of Mathematics University of Vienna Austria Department of Mathematics Munich Data Science Institute Technical University of Munich Garching by Munich & Munich Center for Machine Learning Munich Germany Department of Mathematics and Scientific Computing University of Graz Austria Department of Mathematics Technical University of Munich Garching by Munich Germany

Consensus-based optimization (CBO) is a versatile multi-particle optimization method for performing nonconvex and nonsmooth global optimizations in high dimensions. Proofs of global convergence in probability have been achieved for a broad class of objective functions in unconstrained optimizations. In this work we adapt the algorithm for solving constrained optimizations on compact and unbounded domains with boundary by leveraging emerging reflective boundary conditions. In particular, we close a relevant gap in the literature by providing a global convergence proof for the many-particle regime comprehensive of convergence rates. On the one hand, for the sake of minimizing running cost, it is desirable to keep the number of particles small. On the other hand, reducing the number of particles implies a diminished capability of exploration of the algorithm. Hence numerical heuristics are needed to ensure convergence of CBO in the few-particle regime. In this work, we also significantly improve the convergence and complexity of CBO by utilizing an adaptive region control mechanism and by choosing geometry-specific random noise. In particular, by combining a hierarchical noise structure with a multigrid finite element method, we are able to compute global minimizers for a constrained p-Allen–Cahn problem with obstacles, a very challenging variational *** Codes 90C26, 90C56, 90C59, 65K10, 35Q90, 60H10 © 2024, CC BY.

关键词： Constrained optimization

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