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Hardware and Software Integration of Machine Learning Vision System Based on NVIDIA Jetson Nano 1

Future of Information and Communication Conference, FICC 2024

作者： Manolescu, Denis Reid, David Secco, Emanuele Lindo Robotics Lab School of Mathematics Computer Science and Engineering Liverpool Hope University Liverpool United Kingdom

ISBN: (数字)9783031540530

ISBN: (纸本)9783031540523

This study investigates the capabilities and flexibility of edge devices for real-time data processing near the source. A configurable Nvidia Jetson Nano system is used to deploy nine pre-trained computer vision models, demonstrating proficiency in local data processing, analysis and providing real-time feedback. Additionally, the system offers deployment control via a customized Graphical User Interface (GUI) and proves very low-latency inference re-stream to other local devices using the G-Streamer framework. The Machine Learning models which cover a wide range of applications, including image classification, object recognition or detection, depth estimation and semantic segmentation, show potential for IoT and industrial applications. Further, the fusion of these capabilities with AI and machine learning algorithms unveils a promising perspective for substantial industrial redevelopment. This research underscores the strategic significance of edge devices in modern computational frameworks and their potential role in future technological advancements. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： computer vision

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Enhancement in Quality of Routing Service Using Metaheuristic PSO Algorithm in VANET Networks

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Soft Computing 2023年第5期27卷 2739-2750页

作者： Javadpour, Amir Rezaei, Samira Sangaiah, Arun Kumar Slowik, Adam Mahmoodi Khaniabadi, Shadi School of Computer Science and Technology Guangzhou University Guangzhou510006 China Bernoulli Institute for Mathematics and Computer Science University of Groningen Groningen Netherlands School of Computing Science and Engineering VIT University Vellore India Department of Industrial Engineering and Management National Yunlin University of Science and Technology Douliu Taiwan Department of Electronics and Computer Science Koszalin University of Technology Koszalin Poland Department of Computer Science and Engineering USM Engineering Campus Pulau Pinang George Town14300 Malaysia

Vehicular ad hoc Networks (VANETs) can be designed in a way to organize road protection with no specific need for any fixed infrastructure. Accordingly, the movement of all vehicles can be planned according to perceived information, and Quality of Services Routing (QoSR) algorithms can be pressured according to its available options, paths, and links, and according to the criteria and reliability of the QoSR. Ensure that QoSR is aware of the environment of the network of vehicles, including location of vehicles, direction, and speed. This study is to reduce the effects of unpredictable problems on the best pathway to replace the broken path/link. A QoSR with Particle Swarm Optimization (QoSR-PSO) is used in this article for improving QoSs in vehicular ad hoc networks. By modeling the behavior of a group of particles, particle swarm optimization algorithms find the best possible solution to the problem. In order to perform simulation experiments, NS2 simulator and VanetMobisim have been used. The comparison results with benchmark studies show the improvement in packet delivery rate (PDR), delay, Packet Drop, and overload. © 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： Vehicular ad hoc networks

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Carbon information disclosure mechanism considering extended producer responsibility and low carbon preference under outsourcing remanufacturing

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Sustainable Operations and computers 2025年 6卷 71-84页

作者： Zhao, Xiukun Liu, Yajiao Zou, Jinhui Deng, Qianzhou Han, Rong School of Management Science and Engineering Tianjin University of Finance and Economics Tianjin300222 China College of Mathematics and Computer Science Zhejiang A&F University Hangzhou311300 China Business School Tianjin University of Finance and Economics Tianjin300222 China

The implementation of EPR information disclosure responsibility is one of the four key tasks in the implementation of EPR. In order to explore the impact mechanism of carbon information disclosure behavior of manufacturers and remanufacturers considering extended producer responsibility (EPR) and low-carbon preference on corporate profits of outsourced remanufacturing closed-loop supply chain, this study constructs a two-level supply chain composed of manufacturers and remanufacturers. This paper integrates corporate carbon disclosure with recycling and remanufacturing activities and develop four models according to whether enterprises fulfill EPR information disclosure responsibilities. This study analyzes the equilibrium strategies of manufacturers and remanufacturers in four modes through Stackelberg game and finds that: Firstly, the implementation of EPR is more conducive to enhancing the overall profitability of enterprises compared to a scenario without EPR. Concurrently, enterprises will focus more on consumer low-carbon preferences and market dynamics when implementing EPR policies, thereby striving to enhance their competitive edge. Secondly, manufacturers and remanufacturers should collaborate actively in carbon information disclosure activities to achieve coordinated development between upstream and downstream enterprises. Such collaboration is beneficial for increasing the product recovery rate of remanufacturers. Lastly, social welfare is maximized under a full EPR scenario. The state of social welfare varies with changes in cost subsidy disclosure and consumer low-carbon preferences. Notably, the disclosure efforts of remanufacturers contribute more significantly to social welfare than those of manufacturers. © 2025 The Authors

关键词： Extended producer responsibility Carbon information disclosure Outsourcing remanufacturing Low-carbon preference

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Two-stage IDS for IoT using layered machine- and deep-learning models

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Cyber-Physical Systems 2024年第1期10卷 60-83页

作者： van der Walt, André Quazi, Tahmid van Niekerk, Brett School of Engineering University of KwaZulu-Natal Durban South Africa School of Mathematics Statistics and Computer Science University of KwaZuluNatal South Africa Department of Information Technology Durban University of Technology South Africa

The ever-growing integration of Internet-of-Things (IoT) devices into our daily lives provides us with a level of convenience never before seen. However, the effects of attacks on these devices can be devastating. The discrete, low-powered nature of IoT devices makes their security a difficult problem to solve. To provide a solution, this work proposes a two-stage Intrusion Detection Systems (IDS) using layered machine and deep learning models. The potential benefits of the system are examined and the results presented show a reduction of threat detection/identification time of 0.51 s on average and an increase of threat classification F1-Score by 0.05. . © 2022 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Internet of things

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Medical data publishing based on average distribution and clustering

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CAAI Transactions on Intelligence Technology 2022年第3期7卷 381-394页

作者： Tong Yi Minyong Shi Haibin Zhu School of Computer Science and Engineering Guangxi Normal UniversityGuilinChina School of Computer Science Communication University of ChinaBeijingChina Department of Computer Science and Mathematics Nipissing UniversityNorth BayOntarioCanada

Most of the data publishing methods have not considered sensitivity protection,and hence the adversary can disclose privacy by sensitivity *** with this problem,this paper presents a medical data publishing method based on sensitivity *** protect the sensitivity,the sensitivity of disease information is determined by *** seek the trade-off between information utility and privacy security,the new method focusses on the protection of sensitive values with high sensitivity and assigns the highly sensitive disease information to groups as evenly as *** experiments are conducted on two real-world datasets,of which the records include various attributes of *** measure sensitivity protection,the authors define a metric,which can evaluate the degree of sensitivity ***,additional information loss and discernability metrics are used to measure the availability of released *** experimental results indicate that the new method can provide better privacy than the traditional one while the information utility is *** value protection,the proposed method can provide sensitivity protection and available releasing for medical data.

关键词： data publishing information utility security semantics sensitive values sensitivity

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Interpretable Deep Learning For Automated Retinal Damage Detection in Optical Coherence Tomography

Interpretable Deep Learning For Automated Retinal Damage Det...

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2024 IEEE International Conference on Big Data, BigData 2024

作者： Suganya, R. Sharma, Abhiram Srivats, R. Kalyanasundaram, V. Shanmugam, Selvanayaki Kolandapalayam Vellore Institute of Technology School of Computer Science and Engineering Chennai India Ashland University Department of the Mathematics and Computer Science AshlandOH United States

ISBN: (纸本)9798350362480

This work portrays developing and evaluating deep learning models for automatically identifying retinal injuries using Optical Coherence Tomography (OCT) images. In particular, this study optimizes three pre-trained Convolutional Neural Networks (CNNs), VGG16, EfficientNetB3, and ResNet50, using transfer learning to classify retinal images into four categories, Drusen, Normal, Diabetic Macular Edema (DME), and Choroidal Neovascularization (CNV). In addition to high-performance classification, the study integrates Explainable Artificial Intelligence (XAI) methods, utilizing Gradient-weighted Class Activation Mapping (Grad-CAM) to highlight the retinal regions influencing the model's predictions visually. This offers critical interpretability for clinical settings. The Key performance metrics indicators include accuracy, precision, and F1-score and help to evaluate the models. With the available selected models, EfficientNetB3 achieved the highest performance with an accuracy of 93%, outperforming VGG16 and ResNet50. The application of Grad-CAM highlights the increase in transparency and prediction trust of this model's decision-making process. This study demonstrated the profound learning model efficacy, particularly EfficientNetB3, for accurate retinal injury detection and provides valuable insights into model interpretability for clinical use. © 2024 IEEE.

关键词： Convolutional neural networks

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The effects of gender and URM status on the engineering professional identity of upper-year engineering students 129

The effects of gender and URM status on the engineering prof...

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129th ASEE Annual Conference and Exposition: Excellence Through Diversity, ASEE 2022

作者： Atwood, Sara A. Gilmartin, Shannon Katherine Sheppard, Sheri School of Engineering Mathematics and Computer Science

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Low-complexity signal detection for massive MIMO systems via trace iterative method

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Journal of Systems engineering and Electronics 2024年第3期35卷 549-557页

作者： IMRAN A.Khoso ZHANG Xiaofei ABDUL Hayee Shaikh IHSAN A.Khoso ZAHEER Ahmed Dayo College of Electronic and Information Engineering Nanjing University of Aeronautics and AstronauticsNanjing 211106China School of Electrical Engineering Korea UniversitySeoul 02841Korea School of Mathematics South China University of TechnologyGuangzhou 510641China Department of Computer Science Huanggang Normal UniversityHuanggang 438000China

Linear minimum mean square error(MMSE)detection has been shown to achieve near-optimal performance for massive multiple-input multiple-output(MIMO)systems but inevitably involves complicated matrix inversion,which entails high *** avoid the exact matrix inversion,a considerable number of implicit and explicit approximate matrix inversion based detection methods is *** combining the advantages of both the explicit and the implicit matrix inversion,this paper introduces a new low-complexity signal detection ***,the relationship between implicit and explicit techniques is ***,an enhanced Newton iteration method is introduced to realize an approximate MMSE detection for massive MIMO uplink *** proposed improved Newton iteration significantly reduces the complexity of conventional Newton ***,its complexity is still high for higher ***,it is applied only for first two *** subsequent iterations,we propose a novel trace iterative method(TIM)based low-complexity algorithm,which has significantly lower complexity than higher Newton *** guarantees of the proposed detector are also *** simulations verify that the proposed detector exhibits significant performance enhancement over recently reported iterative detectors and achieves close-to-MMSE performance while retaining the low-complexity advantage for systems with hundreds of antennas.

关键词： signal detection low-complexity linear minimum mean square error(MMSE) massive multiple-input multiple-output(MIMO) trace iterative method(TIM)

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On k-Planar Graphs Without Short Cycles 32

On k-Planar Graphs Without Short Cycles

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32nd International Symposium on Graph Drawing and Network Visualization, GD 2024

作者： Bekos, Michael A. Bose, Prosenjit Büngener, Aaron Dujmović, Vida Hoffmann, Michael Kaufmann, Michael Morin, Pat Odak, Saeed Weinberger, Alexandra Department of Mathematics University of Ioannina Greece School of Computer Science Carleton University Ottawa Canada Department of Computer Science University of Tübingen Germany School of Electrical Engineering and Computer Science University of Ottawa Canada Department of Computer Science ETH Zürich Switzerland Faculty of Mathematics and Computer Science Fern Universität in Hagen Germany

ISBN: (纸本)9783959773430

We study the impact of forbidding short cycles to the edge density of k-planar graphs;a k-planar graph is one that can be drawn in the plane with at most k crossings per edge. Specifically, we consider three settings, according to which the forbidden substructures are 3-cycles, 4-cycles or both of them (i.e., girth ≥ 5). For all three settings and all k ∈ {1, 2, 3}, we present lower and upper bounds on the maximum number of edges in any k-planar graph on n vertices. Our bounds are of the form c n, for some explicit constant c that depends on k and on the setting. For general k ≥ 4 our bounds are of the form c √ kn, for some explicit constant c. These results are obtained by leveraging different techniques, such as the discharging method, the recently introduced density formula for non-planar graphs, and new upper bounds for the crossing number of 2- and 3-planar graphs in combination with corresponding lower bounds based on the Crossing Lemma. © Michael A. Bekos, Prosenjit Bose, Aaron Büngener, Vida Dujmović, Michael Hoffmann, Michael Kaufmann, Pat Morin, Saeed Odak, and Alexandra Weinberger.

关键词： Graphic methods

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Performance-Guaranteed Finite-Time Tracking of Strict-Feedback Systems with Unknown Control Directions: A Novel Switching Mechanism

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IEEE Transactions on Automatic Control 2025年第6期70卷 4061-4068页

作者： Mao, Bing Wu, Xiaoqun Fan, Ziye Lu, Jinhu Chen, Guanrong Shenzhen University College of Computer Science and Software Engineering Shenzhen518060 China Wuhan University School of Mathematics and Statistics Hubei430072 China Beihang University School of Automation Science and Electrical Engineering Beijing100191 China City University of Hong Kong Department of Electrical Engineering Hong Kong Hong Kong

The problem of achieving performance-guaranteed finite-time exact tracking for uncertain strict-feedback nonlinear systems with unknown control directions is addressed. A novel logic switching mechanism with monitoring functions is designed to deal with unknown control directions. This approach is different from existing methods like the Nussbaum gain technique and smooth orientation functions, which are inapplicable to finite-time exact tracking. The main challenge lies in designing monitoring functions and determining switching rules, which is well resolved through three steps. Most significantly, in contrast to existing works that solely guarantee bounded tracking or asymptotic exact tracking, the new mechanism incorporates novel integral sliding mode techniques to achieve finite-time exact tracking with guaranteed performance. Finally, simulations are presented with comparison to demonstrate the effectiveness of the proposed methods. © 1963-2012 IEEE.

关键词： Feedback

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