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2023 IEEE International Conference on Next Generation Electronics, NEleX 2023

作者： Gurupriya, M. Vasavi, C.S. Ramasamy, Gayathri Karthikeyan, B. Amrita School of Computing Amrita Vishwa Vidyapeetham Department of Computer Science and Engineering Bengaluru India Amrita School of Artificial Intelligence Amrita Vishwa Vidyapeetham Bengaluru India School of Electronics Engineering Vellore Institute of Technology Department of Embedded Technology Vellore India

ISBN: (纸本)9798350319088

The rise in popularity of wireless sensor networks (WSNs) has garnered a lot of attention and offers a variety of manufacturing industries and residential day to day applications that acquire data from sensors mounted within homogeneous as well as heterogeneous networks. Battery-operated -nodes have limited energy and resources. Since WSNs are more vulnerable to assaults because they are dynamic. Energy utilization of a sensor node is crucial for effective clustering and data transmission. Nodes are clustered using the Linde-Buzo-Gray Algorithm (LBGA), and the cluster head (CH) is chosen using the LEACH protocol. Route identification and secondary CH is selected using Combinatorial Bat Optimization Algorithm (CBOA) thereby, data loss is minimized during CH failure. To validate the performance measures of energy consumption, throughput and packet delivery ratio (PDR), various experiments were carried out. The innovative approach cuts energy consumption by 11 % and elevates packet delivery ratio by 5% when benchmarked against existing approaches. © 2023 IEEE.

关键词： Energy utilization

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PixelFade: Privacy-preserving Person Re-identification with Noise-guided Progressive Replacement 24

PixelFade: Privacy-preserving Person Re-identification with ...

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32nd ACM International Conference on Multimedia, MM 2024

作者： Zhang, Delong Peng, Yi-Xing Wu, Xiao-Ming Wu, Ancong Zheng, Wei-Shi School of Computer Science and Engineering Sun Yat-sen University Guangzhou China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education Guangdong Province Key Laboratory of Information Security Technology Guangzhou China

ISBN: (纸本)9798400706868

Online person re-identification services face privacy breaches from potential data leakage and recovery attacks, exposing cloud-stored images to malicious attackers and triggering public concern. The privacy protection of pedestrian images is crucial. Previous privacy-preserving person re-identification methods are unable to resist recovery attacks and compromise accuracy. In this paper, we propose an iterative method (PixelFade) to optimize pedestrian images into noise-like images to resist recovery attacks. We first give an in-depth study of protected images from previous privacy methods, which reveal that the chaos of protected images can disrupt the learning of recovery models. Accordingly, Specifically, we propose Noise-guided Objective Function with the feature constraints of a specific authorization model, optimizing pedestrian images to normal-distributed noise images while preserving their original identity information as per the authorization model. To solve the above non-convex optimization problem, we propose a heuristic optimization algorithm that alternately performs the Constraint Operation and the Partial Replacement Operation. This strategy not only safeguards that original pixels are replaced with noises to protect privacy, but also guides the images towards an improved optimization direction to effectively preserve discriminative features. Extensive experiments demonstrate that our PixelFade outperforms previous methods in resisting recovery attacks and Re-ID performance. © 2024 ACM.

关键词： Differential privacy

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Career-Based Explainable Course Recommendation 18th

Career-Based Explainable Course Recommendation

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18th International Conference on Information for a Better World: Normality, Virtuality, Physicality, Inclusivity, iConference 2023

作者： Striebel, Jacob Myers, Rebecca Liu, Xiaozhong Luddy School of Informatics Computing and Engineering Indiana University BloomingtonIN47408 United States Department of Computer Science Worcester Polytechnic Institute WorcesterMA01609 United States

ISBN: (纸本)9783031280313

The type and quality of education that a student receives can have a profound impact on their career. In contrast to education that is not intentionally organized to help students achieve specific career objectives, career-based education seeks to provide students with the skills that are required to achieve specific career goals. In this work, we propose a course recommendation framework that is designed to recommend courses based directly on their ability to teach skills relevant to a user-specified career goal. Within our framework, course recommendations are generated in a transparent manner, using skills to bridge between jobs and courses in a knowledge-based inference procedure. Due to the procedure’s transparency, our system is able to provide faithful template-based explanations detailing why each recommended course was chosen for recommendation. Our framework contrasts with other course recommendation systems in the literature that lack the ability to explain their choices and therefore may lack trustworthiness from the perspective of a user. The proposed framework has several applications, including assisting students with course planning, as well as aiding with curriculum evaluation and development by providing insight into the usefulness of specific courses to specific careers. We conduct a preliminary evaluation of our system, and its performance is competitive against two baselines. We provide all the resources needed to reproduce our results. (http://***/striebel/cbecr ) © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Students

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Evolutionary Multitask Optimization in Real-World Applications: A Survey

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Journal of Artificial Intelligence and Technology 2023年第1期3卷 32-38页

作者： Yue Wu Hangqi Ding Benhua Xiang Jinlong Sheng Wenping Ma Kai Qin Qiguang Miao Maoguo Gong School of Computer Science and Technology Xidian UniversityXi’anChina School of Artificial Intelligence Xidian UniversityXi’anChina Department of Computing Technologies Swinburne University of TechnologyHawthornAustralia School of Electronic Engineering Xidian UniversityXi’anChina

Because of its strong ability to solve problems,evolutionary multitask optimization(EMTO)algorithms have been widely studied *** algorithms have the advantage of fast searching for the optimal solution,but it is easy to fall into local optimum and difficult to *** evolutionary multitask algorithms with evolutionary optimization algorithms can be an effective method for solving these *** the implicit parallelism of tasks themselves and the knowledge transfer between tasks,more promising individual algorithms can be generated in the evolution process,which can jump out of the local *** to better combine the two has also been studied more and *** paper explores the existing evolutionary multitasking theory and improvement scheme in ***,it summarizes the application of EMTO in different ***,according to the existing research,the future research trends and potential exploration directions are revealed.

关键词： evolutionary multitasking evolutionary algorithm optimization

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The influence of culture on creativity in ideation: a review

The influence of culture on creativity in ideation: a review

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2024 International Design Society Conference, Design 2024

作者： Gong, Zhengya Gonçalves, Milene Nanjappan, Vijayakumar Georgiev, Georgi V. Center for Ubiquitous Computing University of Oulu Finland Department of Design Organisation and Strategy Faculty of Industrial Design Engineering Delft University of Technology Netherlands School of Computer Science and Information Technology University College Cork Ireland

The relationship between culture and creativity has sparked the interest of researchers for decades. Although researchers have attempted to establish a connection between culture and creativity, the precise relationship between the two remains ambiguous. The current paper examined extant literature on the subject matter and synthesized the relations between culture and creativity in ideation over the past twenty years. The present study expounds upon the utilized samples, measures implemented to assess creativity and culture, and the study results. © 2024 Proceedings of the Design Society. All rights reserved.

关键词： Behavioral research

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Generating Higher Order Mutants using PSO with Levy Flight(LFPSO) Algorithm 1

Generating Higher Order Mutants using PSO with Levy Flight(L...

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1st International Conference on Machine Learning, computer Systems and Security, MLCSS 2022

作者： Mohanty, Subhasish Mishra, Jyotirmaya Mohapatra, Sudhir Kumar Dash, Sachikanta Padhy, Sasmita Das, Sameer Kumar Computer Science and Engineering Giet University Odisha Gunupur India Sri Sri University Faculty of Emerging Technologies Odisha India School of Computing Science and Engineering Vit Bhopal University MP Bhopal India Computer Science and Engineering Soa University Odisha Bhubaneswar India

ISBN: (纸本)9781665454933

Nowadays, test data generation via a search based become popular, and mutation testing plays a very essential role by improving the efficiency of test data creation. In this research, LFPSO with Mutation Testing, a high-order mutation test data generating method, was presented, which was then implemented on large programs from the Software-artifact Infrastructure Repository (SIR). The suggested algorithm LFPSO is then compared against GA, as well as the most extensively used method for developing test data, CRO. For the majority of the benchmark programs, the results show that LFPSO outperforms GA and CRO in terms of computing efficiency. © 2022 IEEE.

关键词： Software testing

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Diffusion Model with Self-supervised Training for Subject-aware Photoplethysmography Recovery

Diffusion Model with Self-supervised Training for Subject-aw...

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2023 IEEE Biomedical Circuits and Systems Conference, BioCAS 2023

作者： Wang, Daomiao Hu, Qihan Feng, Xujian Yang, Cuiwei Fudan University Center for Biomedical Engineering School of Information Science and Technology Shanghai China Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention of Shanghai Shanghai China

ISBN: (纸本)9798350300260

Photoplethysmography (PPG) has emerged as a promising technology for wearable personal healthcare due to its non-invasive and cost-effective nature. However, owing to the vulnerability to various noise, the useful PPG signals are few and the usability of PPG-based systems are limited. In this paper, we address the challenge of recovering extremely corrupted PPG waveforms with severe distortions, which lead to missing data. Specifically, we propose a novel diffusion-based framework that incorporates remaining values and subject-aware embedding, along with a self-supervised generative training strategy. Extensive experiments were performed on two datasets under three missing rates and two missing patterns. Our proposed model achieves significant improvements of nearly 100% over existing imputation models on quantitative metrics, and together with the visualization, demonstrating its effectiveness for data distribution generation and corrupted PPG restoration. Our proposed method also provides a new perspective for PPG denoising. © 2023 IEEE.

关键词： Deep generative model Diffusion model Motion artifact Photoplethysmography Self-supervised training

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Clustering-Based Analysis on 5G Networks: A Comparison 4

Clustering-Based Analysis on 5G Networks: A Comparison

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4th International Conference on Electronics and Sustainable Communication Systems, ICESC 2023

作者： Annam, Sangeetha Mithillesh Kumar, P. Chitkara University Institute of Engineering and Technology Chitkara University Punjab India Amrita School of Computing Bengaluru Amrita Vishwa Vidyapeetham Dept. of Computer Science and Engg India

ISBN: (纸本)9798350300093

To satisfy the growing capacity demand and provide consumers with a higher level of service, it is anticipated that future-generation wireless networks will run entirely automatically. Utilizing spatiotemporal data on users and network health, mobile wireless networks may infuse the system with end-to-end visibility and intelligence. To handle the shifting conditions and the delivery of complex requirements for complicated services in a digital world with a highly engaged machine ecology, the future cellular system must be a neural carrier. By enabling the network to train and act, artificial intelligence enabled by '5G technology' can improve the network's interactive and decision-making capabilities. This study offers a thorough analysis of current clustering models in 5G networks. © 2023 IEEE.

关键词： 5G mobile communication systems

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Stacking Ensemble Model for Celestial Object Classification: Galaxies, Stars and Quasars

Stacking Ensemble Model for Celestial Object Classification:...

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International Conference on Image Information Processing

作者： S Sudharson R Annamalai Avuthu Avinash Reddy P Varsha Department of Computer Science and Engineering School of Computer Science and Engineering Vellore Institute of Technology Chennai India Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Chennai India Department of Computer Science and Engineering (AIE) Amrita School of Computing Amrita Vishwa Vidyapeetham Chennai India

ISBN: (数字)9798350371406

ISBN: (纸本)9798350371413

In the field of astronomy, it is essential to classify celestial objects like stars, galaxies, and quasars based on their spectral characteristics. This spectral data provides valuable information about various properties, such as the elements present, temperature, density, and magnetic field. To tackle this classification task, we investigate the application of different classification and ensemble algorithms. The proposed approach uses a variety of machine learning classifiers, including logistic regression, support vector machines, k-nearest neighbors, decision trees, random forests, and XGBoost. These classifiers are combined to create a stacking classifier, which is then evaluated on its accuracy, precision, recall, F1 score, and support. The Stacking classifier demonstrates the highest accuracy, reaching an impressive 99.99% on the training data. Train Logloss is 0.011. The precision, recall, and f1 score values (all 1.00) indicate a robust classification capability a cross all classes of celestial objects. This outstanding accuracy means that it effectively identifies almost all celestial objects in the training data-set. Consequently, the Stacking model serves as a highly dependable and precise tool for recognizing galaxies, stars, and quasars based on their spectral characteristics.

关键词： Logistic regression Analytical models Machine learning algorithms Stacking Stars Training data Data models

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BA-Audit: Blockchain-Based Public Auditing for Aggregated Data Sharing in Edge-Assisted IoT 1

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4th EAI International Conference on Security and Privacy in New computing Environments, SPNCE 2021

作者： Liu, Mingxi Lu, Ning Yin, Jingli Cheng, Qingfeng Shi, Wenbo School of Computer Science and Engineering Northeastern University Shenyang China School of Computer Science and Technology Xidian University Xi’an China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China Strategic Support Force Information Engineering University Zhengzhou China

ISBN: (数字)9783030967918

ISBN: (纸本)9783030967901

With the massive placement of sensors leading to a surge in IoT data, it is wise for system administrators to use data aggregation strategies to collect and share data in edge-assisted IoT scenarios because traditional methods will exhaust bandwidth resources. Users need to verify the integrity of aggregated data to ensure security sharing. However, existing data auditing technologies are disabled because aggregate data has no metadata. This paper proposes a blockchain-based auditing scheme for aggregated data to achieve efficient and secure data sharing. First, we design a hash index balanced tree (HIBT) to reduce the computational expense of signature retrieval. Then, we propose an audit protocol to protect aggregated data immutability. Also, we provide security and performance analysis at the end of the paper. © 2022, ICST Institute for computer sciences, Social Informatics and Telecommunications engineering.

关键词： Blockchain

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