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3rd International Conference on Communication, Networks and Computing, CNC 2022

作者： Sharma, Ravi Bhushan Sharma, Himani Goyal Iqbal, Md. Asif Department of Computer Science Engineering Chandigarh University Chandigarh India Department of Electrical Engineering Chandigarh University Gharuan Chandigarh India Department of Electrical Engineering Vivekananda Global University Jaipur India

ISBN: (纸本)9783031431449

The crypto currency market is a rapidly growing trading and investment industry that has attracted merchants, investors, and entrepreneurs on a global scale never seen before in this century. By providing comparison studies and insights from the pricing data of crypto currency marketplaces, it will aid in documenting the behavior and habits of such a lucratively demanding and rapidly growing sector. The bitcoin market is at one of its all-time highs in 2021. The introduction of new exchanges has made crypto currencies more accessible to the general public, enhancing their attractiveness. This, together with the launch of several genuine crypto initiatives by some of the founders, has resulted in a surge in crypto currency users and interest. Virtual currencies are growing in popularity, with corporations like Microsoft, Dell, and Tesla all accepting them. As the number of individuals using decentralised digital currencies grows, As new currencies gain popularity, it's more important than ever to properly educate the public about them so that they understand what they possess and how their money is being invested. The algorithm predicts that the high, low, and open prices will all be close to the same value on the same day. The coefficients indicate that the high price has the biggest influence on the closing price. Contrary to popular assumption, "volume" does not add to the data on the closing price provided by the other factors. We also observed that the "marketcap" argument offers no more information. This is odd because market cap is often determined by the price of a product. After removing the two previously mentioned factors, we found no discernible difference in adjusted R2. It's worth mentioning that the model was built using data from the same time period. At the same moment as the closing price, the variables we obtained are made public. We are hopeful that the model will be able to forecast the closing price based on the existing high and low values for

关键词： Machine learning

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Idempotency in Service Mesh: For Resiliency of Fog-Native Applications in Multi-Domain Edge-to-Cloud Ecosystems 15

Idempotency in Service Mesh: For Resiliency of Fog-Native Ap...

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15th International Conference on Cloud Computing and Services science, CLOSER 2025

作者： Whitaker, Matthew Volckaert, Bruno Al-Naday, Mays School of Computer Science and Electrical Engineering University of Essex United Kingdom Ghent University - imec IDLab Department of Information Technology Gent Belgium

ISBN: (纸本)9789897587474

Resilient operation of cloud-native applications is a critical requirement to service continuity, and to fostering trust in the cloud paradigm. So far, service meshes have been offering resiliency to a subset of failures. But, they fall short in achieving idempotency for HTTP POST requests. In fact, their current resiliency measures may escalate the impact of a POST request failure. Besides, the current tight control over failures - within central clouds - is being threatened by the growing distribution of applications across heterogeneous clouds. Namely, in moving towards a fog-native paradigm of applications. This renders achieving both idempotency and request satisfaction for POST microservices a non-trivial challenge. To address this challenge, we propose a novel, two-pattern, resiliency solution: Idempotency and Completer. The first is an idempotency management system that enables safe retries, following transient network/infrastructure failure. While the second is a FaaS-based completer system that enables automated resolution of microservice functional failures. This is realised through systematic integration and application of developer-defined error solvers. The proposed solution has been implemented as a fog-native service, and integrated over example service mesh Consul. The solution is evaluated experimentally, and results show considerable improvement in user satisfaction, including 100% request completion rate. The results further illustrate the scalability of the solution and benefit in closing the current gap in service mesh systems. Copyright © 2025 by SCITEPRESS - science and Technology Publications, Lda.

关键词： Hypertext systems

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Quantum Generative Adversarial Network for Autonomous Drone Navigation in Urban Wind Zones 6

Quantum Generative Adversarial Network for Autonomous Drone ...

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6th International Conference on Mobile Computing and Sustainable Informatics, ICMCSI 2025

作者： Swarnalatha, Anumula Archana, Nalluri Mukkapati, Naveen Selvakumar, Subramanian Tamir, Eneyachew Manikandaprabu, P. Department of Aeronautical and Aerospace Engineering KCG College of Technology Tamil Nadu Chennai600097 India Department of Computer Science and Engineering Vignan's Foundation for Science Technology and Research Andhra Pradesh 522213 India Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Andhra Pradesh 522502 India Department of Computer Engineering Bahir Dar Institute of Technology Bahir Dar University Bahir Dar Ethiopia Department of Electrical and Computer Engineering Bahir Dar Institute of Technology Bahir Dar University Bahir Dar Ethiopia Department of Mechanical Engineering Sona College of Technology Tamil Nadu Salem636005 India

ISBN: (纸本)9798331522667

Major challenges are observed when autonomous drones fly in the complex, changeable environment such as wind zones regarding accurate path planning, avoiding the object, and completing tasks. Lack of flexibility in different situations reduces the reliability of conventional models in real time. To overcome these difficulties the Savitzky-Golay Denoising CSWin Quantum Generative Adversarial Network with Emperor Penguin Optimizer known as SGDCQGANNet-EPO was developed. The RGB data and GPS-estimated wind forces in this model undergo Savitzky-Golay Denoising;this model does not rely on global data, only RGB camera data and GPS data. Recently a CSWin transformer (CSWin-T) makes feature extraction and obstacles detection as well as wind angle, wind speed and wind position identification easier. Quantum Generative Adversarial Networks (QGANet) are then used for optimized path planning, and the model is enhanced by the Emperor Penguin Optimizer (EPO) to fine tune the generator and discriminator loss functions. More accurate compared to current approaches in accuracy and efficiency, the model achieves an accuracy of 99.28%, a low RMSE of 0.38, a recall of 99.25%, and EVA of 0.95. In Confidence using this new technique, the free roaming and self-organizing drone maneuvers in complex environments achieved remarkable results. © 2025 IEEE.

关键词： Generative adversarial networks

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Neural Architecture Search for Image Dehazing

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2023年第5期4卷 1337-1347页

作者： Mandal, Murari Meedimale, Yashwanth Reddy Satish Kumar Reddy, M. Vipparthi, Santosh Kumar Kalinga Institute of Industrial Technology Deemed to Be University School of Computer Engineering Bhubaneswar751024 India Walmart Global Tech Hyderabad500081 India Texas A&m University Computer Science and Engineering Department College StationTX77843 United States Indian Institute of Technology Ropar Cvpr Laboratory at Department of Electrical Engineering Rupnagar140001 India

Manual design of deep networks require numerous trials and parameter tuning, resulting in inefficient utilization of time, energy, and resources. In this article, we present a neural architecture search (NAS) algorithm - AutoDehaze, to automatically discover effective neural network for single image dehazing. The proposed AutoDehaze algorithm is built on the gradient-based search strategy and hierarchical network-level optimization. We construct a set of search space layouts to reduce memory consumption, avoid the NAS collapse issue, and considerably accelerate the search speed. We propose four search spaces AutoDehaze B, AutoDehaze U1, AutoDehaze U2, and AutoDehaze L, which are inspired by the boat-shaped, U-shaped, and lateral connection-based designs. To the best of authors knowledge, this is a first attempt to present an NAS method for dehazing with a variety of network search strategies. We conduct a comprehensive set of experiments on Reside-Standard (SOTS), Reside-β (SOTS) and Reside-β (HSTS), D-Hazy, and HazeRD datasets. The architectures discovered by the proposed AutoDehaze quantitatively and qualitatively outperform the existing state-of-the-art approaches. The experiments also show that our models have considerably fewer parameters and runs at a faster inference speed in both CPU and GPU devices. © 2020 IEEE.

关键词： Network architecture

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Computational Wavefront Shaping with Epi-mode 3D Refractive Index Microscopy

Computational Wavefront Shaping with Epi-mode 3D Refractive ...

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2023 Computational Optical Sensing and Imaging, COSI 2023 in Optica Imaging Congress - Part of Imaging and Applied Optics Congress 2023

作者： Cai, Mingxuan Zhou, Kevin C. Xue, Yi Waller, Laura Department of Electrical Engineering and Computer Science University of California Berkeley United States Department of Biomedical Engineering University of California Davis United States

We present a wavefront shaping method that computes the optimal wavefront for random-access focusing through scattering in 3D, by using prior knowledge of the reconstructed 3D refractive index (RI), measured in epi-mo... 详细信息

ISBN: (纸本)9781957171289

关键词： Refractive index

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PneuTeleCNN: Deep Learning-assisted Framework for Pneumonia Identification in Web-enabled Telemedicine Systems 10

PneuTeleCNN: Deep Learning-assisted Framework for Pneumonia ...

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10th International Conference on Web Research, ICWR 2024

作者： Mahida, Nikunjkumar Parikh, Keertan Amit Darji, Krisha Gupta, Rajesh Tanwar, Sudeep Shahinzadeh, Hossein Mohammad-Hosseini, Melika Nirma University Institute of Technology Department of Computer Science and Engineering Ahmedabad India Amirkabir University of Technology Tehran Polytechnic Department of Electrical Engineering Tehran Iran Najafabad Branch Islamic Azad University Department of Electrical Engineering Najafabad Iran

ISBN: (纸本)9798350394986

An important development can be observed in the current environment of rapid technological progress in the healthcare industry, which can be demonstrated by the emergence of telemedicine as a key paradigm. Extensive use of telemedical techniques has happened with a particular focus on Tele-Pneumonia examinations, which provide doctors with crucial resources in remote diagnostic situations. In response to the necessity of accurate pneumonia prediction, we present a novel architecture PneuTeleCNN that makes utilization of pretrained models such as DenseNet-121, Visual Geometry Group (VGG-16), MobileNet, and InceptionV3. This thorough approach of PneuTeleCNN meticulously evaluates how effectively the system detects pneumonia in web-based telemedicine environments, establishing the stage for improved remote healthcare solutions. These model's performance is rigorously evaluated using key performance indicators, including accuracy, F1-score, recall, and precision. In addition, the evaluation includes sophisticated measures like the confusion matrix and receiver operating characteristic (ROC) curve, which offer an intricate perspective on the model's performance. To help in the identification of the model that performs better in this scenario, a comparative study is made more more straightforward by presenting of each model's validation accuracy and validation loss graphs. This PneuTeleCNN framework underscores the commitment to ensuring the robustness and reliability of the proposed telemedical approach for pneumonia detection in remote healthcare scenarios. © 2024 IEEE.

关键词： Telemedicine

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2D Structure Pushing Nanocrystalline Common Mode Inductor First Resonant Frequency Above 10 MHz

2D Structure Pushing Nanocrystalline Common Mode Inductor Fi...

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2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024

作者： Zhang, Rongrong Zhao, Hui Jiang, Chaoqiang Wang, Shuo Long, Teng Liu, Kefu Qiu, Jian Fudan University The School of Information Science and Technology Shanghai China City University of Hong Kong The Department of Electrical Engineering Hong Kong University of Florida The Electrical and Computer Engineering GainesvilleFL United States University of Cambridge The Electrical Engineering Division Department of Engineering Cambridge United Kingdom

ISBN: (纸本)9798350376067

Nanocrystalline materials, known for their excellent magnetic properties, are widely used in the design of inductors and transformers, yet their application has been primarily limited to low-frequency scenarios due to their low resonance frequency. This paper introduces an innovative 2D nanocrystalline inductor design that not only capitalizes on the excellent magnetic characteristics of nanocrystalline materials but also effectively increases the resonance frequency to above 10 MHz, enabling the use of nanocrystalline materials in high-frequency power electronics. This design is not only suitable for mass production but also breakthrough in frequency limitations of nanocrystalline Materials. Experimental and simulation results confirm the superiority of the proposed design in enhancing high-frequency impedance, increasing high-frequency insertion loss, exhibiting improvements in EMI conduction frequency range (150 kHz - 30 MHz). The performance of the filter with the proposed 2D inductor is superior to the performance of EMI filters using other inductors within high frequency range, marking a significant breakthrough in magnetic device design. © 2024 IEEE.

关键词： Natural frequencies

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Detecting Adversarial Spectrum Attacks via Distance to Decision Boundary Statistics

Detecting Adversarial Spectrum Attacks via Distance to Decis...

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IEEE Annual Joint Conference: INFOCOM, IEEE computer and Communications Societies

作者： Wenwei Zhao Xiaowen Li Shangqing Zhao Jie Xu Yao Liu Zhuo Lu Department of Electrical Engineering University of South Florida Department of Computer Science and Engineering University of South Florida School of Computer Science University of Oklahoma Department of Electrical and Computer Engineering University of Miami

ISBN: (数字)9798350383508

ISBN: (纸本)9798350383515

Machine learning has been adopted for efficient cooperative spectrum sensing. However, it incurs an additional security risk due to attacks leveraging adversarial machine learning to create malicious spectrum sensing values to deceive the fusion center, called adversarial spectrum attacks. In this paper, we propose an efficient framework for detecting adversarial spectrum attacks. Our design leverages the concept of the distance to the decision boundary (DDB) observed at the fusion center and compares the training and testing DDB distributions to identify adversarial spectrum attacks. We create a computationally efficient way to compute the DDB for machine learning based spectrum sensing systems. Experimental results based on realistic spectrum data show that our method, under typical settings, achieves a high detection rate of up to 99% and maintains a low false alarm rate of less than 1%. In addition, our method to compute the DDB based on spectrum data achieves 54%–64% improvements in computational efficiency over existing distance calculation methods. The proposed DDB-based detection framework offers a practical and efficient solution for identifying malicious sensing values created by adversarial spectrum attacks.

关键词： Training Cooperative communication Adversarial machine learning Sensors Computational efficiency Classification algorithms Security

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Virtuous, multi-level integration of research and education within the project "european Digital Dynamic Mapping" (EDDY) Excellent applied research as an enabler for excellent education in the context of Project-Based Learning in Higher Education Institutions

Virtuous, multi-level integration of research and education ...

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2023 Designing Futures: Zukunfte gestalten, INFORMATIK 2023 - 2023 Designing Futures: Shaping the Future, INFORMATIK 2023

作者： Rettig, Rasmus Weltz, Maximilian Hamburg University of Applied Sciences Faculty of Engineering and Computer Science Department of Information and Electrical Engineering Berliner Tor 7 Hamburg20099 Germany

ISBN: (纸本)9783885797319

Project-and Problem-Based Learning has been subject to research and implementation in engineering and computer science curricula for about the last 20 years. However, the projects and problems focused on in education have hardly been questioned for their relevance and effect. Considering current global and financial challenges, the authors propose to revise project-and problem-based approaches in education in the context of relevance and excellence in applied research. Besides coping with current cost-cutting, existing control mechanisms could ensure both relevance and excellence. Example projects based on more than 10 years of hands-on experience in Project-Based Learning in the context of externally funded research, for various classroom situations are included. © 2023 Gesellschaft fur Informatik (GI). All rights reserved.

关键词： Autonomous vehicles

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Design and Development of an Efficient and Intelligent Weather Forecasting App 1

Design and Development of an Efficient and Intelligent Weath...

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1st International Conference on Recent Developments in Electronics and Communication Systems, RDECS 2022

作者： Bharti, Gaurav Kumar Ranjan, Abhijeet Bharat, Anshul Yadav, Suraj Electrical Engineering Department Chandigarh University Punjab Mohali140413 India Computer Science and Engineering Department Chandigarh University Punjab 140413 India

ISBN: (纸本)9781643683607

Weather Forecasting App is a based-on web application that provide the exact the weather data of user's location. In the proposed web application, there are many parameters used like humidity, wind pressure, wind speed, temperature, sunrise and sunset of and area. In this we can give exact location of a hilly area and forestry area. In this web app we have used API in JavaScript to fetch all the weather's parameters data. In the proposed app open weather map API being use to fetch the weather data for the user's location. © 2023 The authors and IOS Press.

关键词： Weather forecasting

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