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15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Kumar, Sunil Bhowmik, Biswajit National Institute of Technology Maharshi Patanjali Cps Lab Brics Laboratory Department of Computer Science and Engineering Mangalore Karnataka Surathkal575025 India

ISBN: (纸本)9798350370249

The COVID-19 pandemic has led to significant outbreaks in more than 220 countries worldwide, profoundly impacting the public health and lives. As of February 2024, over 774 million cases have been reported, with more than 7,035,337 deaths recorded. Therefore, there is a significant need for automated image segmentation to serve as clinical decision support. This paper presents a novel automated segmentation framework that dynamically generates distinct and randomized image patches for training using preprocessing techniques and extensive data augmentation. The proposed architecture employs a semantic segmentation approach, ensuring accuracy despite limited data availability. Experimental assessment comprises a visual inspection of the predicted segmentation outcomes. Quantitative evaluation of segmentation includes standards performance metrics such as precision, recall, Dice score, and Intersection over Union (IoU). The results exhibit a remarkable Dice coefficient score of 98.3% and an IoU rate surpassing 96.8%, demonstrating the model's robustness in identifying COVID-19-infected lung regions. © 2024 IEEE.

关键词： Computed Tomography COVID-19 Deep Learning Lung Segmentation U-Net

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Effective Resource Utilization in Hadoop Using Ganglia 3

Effective Resource Utilization in Hadoop Using Ganglia

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3rd International Conference on Communication, Control, and Intelligent Systems, CCIS 2024

作者： Srungarapati, Beaula Pamarthi, Mounika Vakada, Vaishnavi Hegde, Anusha Bhowmik, Biswajit National Institute of Technology Ishwarchandra Vidyasagar Ait Lab Brics Laboratory Department of Computer Science and Engineering Karnataka Mangalore Surathkal575025 India

ISBN: (纸本)9798331528201

The exponential growth of big data has led to the widespread adoption of Hadoop clusters for storing and processing large volumes of data. Efficient management of resources within these clusters is crucial for achieving optimal performance and cost efficiency. This research paper explores the use of Hadoop and Ganglia for monitoring and optimizing resource utilization in Hadoop clusters. The study demonstrates that leveraging Hadoop and Ganglia is an effective strategy for improving cluster performance and resource efficiency. Results show significant enhancements in cluster performance and resource utilization, highlighting the importance of proactive resource management in Hadoop environments. © 2024 IEEE.

关键词： Efficiency

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A Unified Framework for Information-Theoretic Generalization Bounds 37

A Unified Framework for Information-Theoretic Generalization...

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37th Conference on Neural Information Processing Systems, NeurIPS 2023

作者： Chu, Yifeng Raginsky, Maxim Department of Electrical and Computer Engineering and Coordinated Science Laboratory University of Illinois UrbanaIL61801 United States

ISBN: (纸本)9781713899921

This paper presents a general methodology for deriving information-theoretic generalization bounds for learning algorithms. The main technical tool is a probabilistic decorrelation lemma based on a change of measure and a relaxation of Young's inequality in Lψp Orlicz spaces. Using the decorrelation lemma in combination with other techniques, such as symmetrization, couplings, and chaining in the space of probability measures, we obtain new upper bounds on the generalization error, both in expectation and in high probability, and recover as special cases many of the existing generalization bounds, including the ones based on mutual information, conditional mutual information, stochastic chaining, and PAC-Bayes inequalities. In addition, the Fernique-Talagrand upper bound on the expected supremum of a subgaussian process emerges as a special case. © 2023 Neural information processing systems foundation. All rights reserved.

关键词： Stochastic systems

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FinTech Revolution in Bharat 1

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3rd International Conference on Advanced Computing and Intelligent Technologies, ICACIT 2023

作者： Doddamani, Sachin Shivaji Bhowmik, Biswajit Department of Computer Science and Engineering Ishwarchandra Vidyasagar AIT Lab BRICS Laboratory National Institute of Technology Karnataka Surathkal Mangalore575025 India

ISBN: (数字)9789819719617

ISBN: (纸本)9789819719600

Due to rapid advancements in technology, the financial sector has experienced significant changes in the last few decades. In particular, financial technology (FinTech) has revolutionized the financial services industry, reshaping customer experiences and transforming conventional banking practices. FinTech had a substantial positive impact on the growth of several economies worldwide, and Bharat (India) is at the forefront of this drive. This study explores the advancements of FinTech in Bharat and the role of the public and private sectors in realizing its full potential. The cutting edge technologies like UPI and India Stack and their economic impacts are discussed. The study also focuses on how government initiatives and FinTech disruptors are instrumental in expanding financial inclusion in the country. Furthermore, it delves into the challenges FinTechs face today and provides insights into the evolving solutions to address the key issues. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Finance

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Geographic Information System for Air Traffic Optimization Based on Simulated Annealing in Training Environment

Geographic Information System for Air Traffic Optimization B...

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2023 International Conference on Earth Observation and Geo-Spatial Information, ICEOGI 2023

作者： Amara, Rafik Bougherara, Maamar Gouraya, Brahim Aissa, Mostefa Belhadj Ltir Laboratory Usthb Algiers Algeria Department of Computer Science Ens Kouba Algiers Algeria Limpaf Laboratory Uamob Algiers Algeria

ISBN: (纸本)9798350396720

To ensure the safety and fluidity of air traffic, the air traffic controller applies a set of rules dictated by the ICAO, called separation rules. For this, the controller must first undergo training based in part on practical work in simulated traffic management. From a traffic configuration given by flight plans (FPL) of an exercise, the trainee controller can detect any conflicts that may arise between each pair of aircraft and act accordingly by changing part of the FPL of the one of the planes (or both) so as to avoid a risk of collision. At the end of the exercise, a debriefing is organized to discuss the effectiveness of the trainee's decisions and compare them with the solutions proposed by his instructor. We propose in this work, to reinforce this training by proposing to the trainee a tool which can generate an additional solution (in addition to that of the instructor). For this, we use a GIS for geographic data and a metaheuristic, simulated annealing, for traffic optimization. The objectives to be achieved are: the elimination of conflicts between aircraft, the minimization of the distance traveled by the aircraft and the minimization of the changes made in relation to the initial flight plan. The evaluation of this work goes through several tests carried out on part of the Algerian airspace with the same practical exercises used in training. © 2023 IEEE.

关键词： Simulated annealing

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The Role of Generative AI in Deepfake Detection: A Systematic Literature Review

The Role of Generative AI in Deepfake Detection: A Systemati...

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International Conference on Smart Business and technology, ICSBT 2024

作者： Acim, Btissam Kharmoum, Nassim Lagmiri, Souad Najoua Ziti, Soumia Department of Computer Science Intelligent Processing & Security of Systems Faculty of Sciences Mohammed V University in Rabat Rabat Morocco Rabat Morocco IT Networking Security and Management Laboratory Higher Institute of Management Administration and Computer Engineering Rabat Morocco

ISBN: (纸本)9783031866975

There is a possibility that deepfakes will increase a great deal of false information in a very realistic way, but it seems that today such technology appears to be extremely dangerous. While generative Artificial Intelligence (AI) does expand possibilities and give an opportunity to achieve terrific outcomes and has innumerable potential uses. This systematic literature review focuses on the role of generative AI in the improvement of deepfake detection technologies, providing a comparison between different methods and assessing their effectiveness. By analyzing recent studies, it depicts the techniques employed most frequently in deepfake detection, such as the ones concentrating on the intricacies between the visual and auditory elements, the temporal domains, as well as any minor signs of alteration. Due to the fact that generative AI is rapidly improving, the methods that are used to detect its use are often inadequate, which calls for more studies on the subject matter. Besides, by combining audio and visual elements when performing the analysis, calling it as a method that can be useful in focusing the detection growth potential with diverse and unstructured data. Also, this study evaluates the advantages and limitations of the techniques existing today and demonstrates their relative effectiveness in controlled and real conditions. Clarifying that measures aimed at detecting AI generated content should be preoccupied with a technique that is able to keep pace with changes in generative AI. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Generative adversarial networks

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Optimal control for a dynamic contact problem governed by a system of hemivariational inequalities in thermo-electro-viscoelasticity

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SeMA Journal 2025年 1-24页

作者： Mohammed, Alaoui Mustapha, Bouallala El Hassan, Essoufi Abdelhafid, Ouaanabi Laboratory MSDTE Univ. Hassan 1 Settat 26000 Morocco Modeling and Combinatorics Laboratory Department of Mathematics and Computer Science Polydisciplinary Faculty Cadi Ayyad University B.P. 4162 Safi Morocco

In this paper, we address control problems for a mathematical model describing the dynamic Coulomb frictional contact between a thermo-electro-viscoelastic body and a rigid foundation that is electrically and thermally conductive. The contact, friction, electrical, and thermal conductivity conditions on the contact surface are formulated using the Clarke subdifferential. We derive the weak formulation of the problem as a system coupling a variational–hemivariational inequality with two hemivariational inequalities. We establish results on the existence and uniqueness of a weak solution to the model and, under additional assumptions, demonstrate the continuous dependence of the solution on the problem’s data. Finally, for a class of optimal control problems, we prove the existence of optimal solutions. © The Author(s), under exclusive licence to Sociedad Española de Matemática Aplicada 2025.

关键词： Banach fixed point theorem Clarke subdifferential Continuous dependence Frictional contact problem Hemivariational inequality Optimal control Thermo-electro-viscoelastic materials Weak solvability

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Fixed-time-synchronized control: a system-dimension-categorized approach

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science China(Information sciences) 2023年第7期66卷 177-194页

作者： Wanyue JIANG Shuzhi Sam GE Dongyu LI Institute for Future & Shandong Key Laboratory of Industrial Control Technology School of Automation Qingdao University Department of Electrical and Computer Engineering National University of Singapore School of Cyber Science and Technology Beihang University Shanghai Institute of Satellite Engineering

This study addresses the fixed-time-synchronized control problem of perturbed multi-input multioutput(MIMO) systems. In the task of fixed-time-synchronized control, different dimensions of the output signal in MIMO systems are required to reach the desired value simultaneously within a fixed time *** MIMO system is categorized into two cases: the input-dimension-dominant and the state-dimensiondominant cases. The classification is defined according to the dimension of system signals and, more importantly, the capability of converging at the same time. For each kind of MIMO system, sufficient Lyapunov conditions for fixed-time-synchronized convergence are explored, and the corresponding robust sliding mode controllers are designed. Moreover, perturbations are compensated using the super-twisting technique. The brake control of the vertical takeoff and landing aircraft is considered to verify the proposed method for the input-dimension-dominant case, which shows the essential advantages of decreasing the energy consumption and the output trajectory length. Furthermore, comparative numerical simulations are performed to show the semi-time-synchronized property for the state-dimension-dominant case.

关键词： fixed-time-synchronized convergence sliding mode control perturbed MIMO systems

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ChronoEpilogi: Scalable Time-Series Variable Selection with Multiple Solutions 38

ChronoEpilogi: Scalable Time-Series Variable Selection with ...

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38th Conference on Neural Information Processing Systems, NeurIPS 2024

作者： Vareille, Etienne Linardi, Michele Tsamardinos, Ioannis Christophides, Vassilis ETIS UMR-8051 Laboratory CY Cergy Paris Universite ENSEA CNRS France Computer Science Department University of Crete Heraklion Greece

We consider the problem of selecting all the minimal-size subsets of multivariate time-series (TS) variables whose past leads to an optimal predictive model for the future (forecasting) of a given target variable (multiple feature selection problem for times-series). Identifying these subsets leads to gaining insights, domain intuition, and a better understanding of the data-generating mechanism;it is often the first step in causal modeling. While identifying a single solution to the feature selection problem suffices for forecasting purposes, identifying all such minimal-size, optimally predictive subsets is necessary for knowledge discovery and important to avoid misleading a practitioner. We develop the theory of multiple feature selection for time-series data, propose the ChronoEpilogi algorithm, and prove its soundness and completeness under two mild, broad, non-parametric distributional assumptions, namely Compositionality of the distribution and Interchangeability of time-series variables in solutions. Experiments on synthetic and real datasets demonstrate the scalability of ChronoEpilogi to hundreds of TS variables and its efficacy in identifying multiple solutions. In the real datasets, ChronoEpilogi is shown to reduce the number of TS variables by 96% (on average) by conserving or even improving forecasting performance. Furthermore, it is on par with Group Lasso performance, with the added benefit of providing multiple solutions. © 2024 Neural information processing systems foundation. All rights reserved.

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Testing the Unknown: A Framework for OpenMP Testing via Random Program Generation

Testing the Unknown: A Framework for OpenMP Testing via Rand...

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2024 Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC Workshops 2024

作者： Laguna, Ignacio Chapman, Patrick Parasyris, Konstantinos Georgakoudis, Giorgis Rubio-Gonzalez, Cindy Lawrence Livermore National Laboratory Center for Applied Scientific Computing United States University of California Department of Computer Science Davis United States

ISBN: (纸本)9798350355543

We present a randomized differential testing approach to test OpenMP implementations. In contrast to previous work that manually creates dozens of verification and validation tests, our approach is able to randomly generate thousands of tests, exposing OpenMP implementations to a wide range of program behaviors. We represent the space of possible random OpenMP tests using a grammar and implement our method as an extension of the Varity program generator. By generating 1,800 OpenMP tests, we find various performance anomalies and correctness issues when we apply them to three OpenMP implementations: GCC, Clang, and Intel. We also present several case studies that analyze the anomalies and give more details about the classes of tests that our approach creates. © 2024 IEEE.

关键词： differential testing OpenMP random program generation software testing

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