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Advances in Big Data and Data Mining: Techniques and applications in Data Fusion for Enhanced Insights and Decision-Making

Advances in Big Data and Data Mining: Techniques and Applica...

引用

2025 ieee international conference on Computational, Communication and Information Technology, ICCCIT 2025

作者： Goyal, Himanshu Rai Shrivastava, Anurag Nagpal, Amandeep Reddy, R. Akhilesh Yadav, Kanchan Revathi, R. Graphic Era Deemed to Be University Department of Computer Science & Engineering Dehradun India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Tamilnadu Chennai India Lovely Professional University Phagwara India MLR Institute of Technology Department of CSE-AI&ML Telangana Hyderabad India GLA University Department of Electrical Engineering Mathura India New Horizon College of Engineering Department of Applied Sciences Bangalore India

ISBN: (纸本)9798331512965

The advancement of big data has accelerated over the years to change how companies utilize data to drive decisions. And so, this paper aims to look at big data and data mining in different perspectives while highlighting the importance of data fusion in decision making in the current society. Many times, data fusion combines different data sources to provide better and broader results. Clustering of raw data, anomaly detection and machine learning are discussed as well as their use in healthcare, financial management and smart cities. This paper also presents such issues as data heterogeneity, data quality assurance, as well as scalability issues. Lastly, tomorrow's possibilities, such as artificial intelligence and quantum computing, are presented as possible enhancements of the data fusion effectiveness are mentioned due to the expected marked advancement in real-time and adaptive decisionmaking systems. © 2025 ieee.

关键词： Data centers

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YOLO-based Neural Networks in Target Recognition Tasks of Cyber-Physical systems 17

YOLO-based Neural Networks in Target Recognition Tasks of Cy...

引用

17th ieee international conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering, TCSET 2024

作者： Tsiunyk, Bohdan Institute of Computer Technologies Automation and Metrology Lviv Polytechnic National University Lviv Ukraine

ISBN: (纸本)9798331520564

YOLO-based neural networks offer a promising approach to enhancing real-time target recognition capabilities within cyber-physical systems. By leveraging a unified detection framework, they provide rapid processing speeds crucial for dynamic environments. These networks utilize a single neural network to predict bounding boxes and class probabilities, enabling efficient multitasking in complex scenarios. Additionally, their architecture is designed to minimize computational overhead, making them suitable for deployment on resource-constrained devices. The adaptability of YOLO models to diverse datasets enhances their versatility across various applications, from surveillance to autonomous navigation. They represent a significant advancement in integrating machine learning with cyber-physical systems for robust target detection. © 2024 ieee.

关键词： Neural network models

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Efficient Q-Learning over Visit Frequency Maps for Multi-agent Exploration of Unknown Environments

Efficient Q-Learning over Visit Frequency Maps for Multi-age...

引用

ieee/RSJ international conference on Intelligent Robots and systems (IROS)

作者： Chen, Xuyang Iyer, Ashvin N. Wang, Zixing Qureshi, Ahmed H. Purdue Univ Dept Comp Sci W Lafayette IN 47906 USA

ISBN: (纸本)9781665491907

The robot exploration task has been widely studied with applications spanning from novel environment mapping to item delivery. For some time-critical tasks, such as rescue catastrophes, the agent is required to explore as efficiently as possible. Recently, Visit Frequency-based map representation achieved great success in such scenarios by discouraging repetitive visits with a frequency-based penalty. However, its relatively large size and single-agent settings hinder its further development. In this context, we propose Integrated Visit Frequency Map, which encodes identical information as Visit Frequency Map with a more compact size, and a visit frequency-based multi-agent information exchange and control scheme that is able to accommodate both representations. Through tests in diverse settings, the results indicate our proposed methods can achieve a comparable level of performance of VFM with lower bandwidth requirements and generalize well to different multi-agent setups including real-world environments.

关键词： Multi agent systems

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Analysis Report on the Coexistence of IMT Base Stations in 1800 MHz Band for Civilian UAVs with Other systems in Neighboring Frequencies 19

Analysis Report on the Coexistence of IMT Base Stations in 1...

引用

19th ieee international Wireless Communications and Mobile computing (ieee IWCMC)

作者： Liu, Lei Wang, Bingxin Wang, Jie Beijing Res Inst Beijing Peoples R China Telecom Corp Ltd Beijing Peoples R China

ISBN: (纸本)9798350333398

In recent years, with the advent of the 5G era, the influence of UAVs(( Unmanned aerial vehicle)) is expanding and the civilian UAV market is showing a blowout. Because UAVs are lightweight, flexible and can be used in extreme environments, there are nearly 100 applications in the civilian sector. For areas with poor infrastructure, UAVs can carry base stations to undertake communication tasks. At the same time, collisions between UAVs and interference from ground users have emerged. In this paper, the parameters of international mobile telecommunications (IMT) system UAV-mounted base stations and 1800MHz broadband time division dual (TDD) private network system are introduced. Then, deterministic calculation method is used to study the situation of UAV interference with neighboring frequency broadband TDD private network system, and believe that 1800MHz UAV-mounted base station can realize coexistence with neighboring frequency broadband TDD private network system. When the interference isolation distance between UAV and other systems is up to 0.1km, which is less than the flight altitude of UAV of 4km, no additional isolation distance is needed to achieve coexistence.

关键词： 5G network UAV-mounted base station IMT coexistence TDD private network

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The Nexus of Fog computing and Wireless Sensor systems Opportunities and Challenges

The Nexus of Fog Computing and Wireless Sensor Systems Oppor...

引用

2024 international conference on Communication, Computer Sciences and Engineering, IC3SE 2024

作者： Yadav, Suman Avdhesh Yamini, Sunkara Jose, A Sujin Gupta, Manish Shareef, Sk. Khaja Mohammed, Haider Amity University Greater Noida Department Of Computer Science & Engineering India Institute Of Aeronautical Engineering Department Of Computer Science And Engineering Telangana Hyderabad India New Horizon College Of Engineering Bangalore India Lovely Professional University Phagwara India Mlr Institute Of Technology Department Of Information Technology Telangana Hyderabad India Hilla University College Babylon Iraq

ISBN: (纸本)9798350366846

Remember also that enhancing real-time apps relies heavily on the efficient and dynamic allocation of computer resources in fog computing and WSS. Because these two technologies are foundational to the development of real-time applications, this is the case. This is due, in part, to the fact that these technologies make optimal use of the resources at their disposal. The increasing significance of these instruments may have contributed to the emergence of this issue. Attempting to do so will bring the reader up to speed on the Dynamic Fog-Edge Resource Allocation (DFERA) technique. The objectives of maximizing fog and edge resources, decreasing latency, conserving energy, and guaranteeing Quality of Service (QoS) were the driving forces for the development of this approach. In order for the greatest possible outcome to occur, these objectives were set. The structure of DFERA is based on three primary approaches. The foundation of DFERA is these formulae. Methods like Quality-Aware Resource Scaling (QARS) for controlling service quality, Edge-Based Data Preprocessing (EDP) for optimizing data, and Dynamic Workload Distribution (DWD) for load balancing are all part of this set of approaches. In this category you will find all of these jobs. These strategies are proven to function using performance metrics derived from actual data. In mathematics, these algorithms rely on equations, and the equations aid in the implementation of the algorithms. © 2024 ieee.

关键词： Quality of service

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AI-Powered Augmented reality for Satellite Assembly, Integration and Test 7

AI-Powered Augmented Reality for Satellite Assembly, Integra...

引用

7th ieee international conference on Artificial Intelligence and eXtended and Virtual reality, AIxVR 2025

作者： Patrício, Álvaro Valente, João Dehban, Atabak Cadilha, Inês Reis, Daniel Ventura, Rodrigo Institute for Systems and Robotics University of Lisbon Lisbon Portugal Lusospace Lisbon Portugal

ISBN: (纸本)9798331521578

The integration of Artificial Intelligence (AI) and Augmented reality (AR) is set to transform satellite Assem-bly, Integration, and Testing processes by enhancing precision, minimizing human error, and improving operational efficiency in cleanroom environments. This paper presents a technical description of the European Space Agency's (ESA) project 'AI for AR in Satellite AIT' which combines real-time computer vision and AR systems to assist technicians during satellite assembly. Leveraging Microsoft HoloLens 2 as the AR interface, the system delivers context-aware instructions and real-time feedback, tackling the complexities of object recognition and 6D pose estimation in AIT workflows. All AI models demonstrated over 70% accuracy, with the detection model exceeding 95% accuracy, indicating a high level of performance and reliability. A key contribution of this work lies in the effective use of synthetic data for training AI models in AR applications, addressing the significant challenges of obtaining real-world datasets in the highly dynamic satellite environments, as well as the creation of the Segmented Anything Model for Automatic Labelling (SAMAL), which facilitates the automatic annotation of real data, achieving speeds up to 20 times faster than manual human annotation. The findings demonstrate the efficacy of AI-driven AR systems in automating critical satellite assembly tasks, setting a foundation for future innovations in the space industry. © 2025 ieee.

关键词： Tropics

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Resource-efficient Pervasive Smart Camera Networks

Resource-efficient Pervasive Smart Camera Networks

引用

20th ieee international conference on Pervasive computing and Communications (ieee PerCom)

作者： Agyeman, Rockson Rinner, Bernhard Univ Klagenfurt Inst Networked & Embedded Syst Univ Str 65-67 A-9020 Klagenfurt Am Worthersee Austria

ISBN: (纸本)9781665416474

Smart cameras integrate sensing, processing, and communication on embedded platforms and serve as key components at the sensory edge of many Internet of Things (IoT) and cyber-physical systems (CPS) applications. Although impressive technological progress has been achieved over the last decade, smart cameras still face resource limitations, particularly when used for advanced networked data processing. This position paper briefly summarizes trends in pervasive smart cameras, presents general strategies for improving resource efficiency, and discusses the resource challenges of person re-identification;a prototypical example of surveillance applications for smart cameras based on advanced machine learning techniques. Lastly, we present our concept for resource-efficient decentralized person re-identification in smart camera networks as a work in progress.

关键词： smart cameras resource limitations in-network processing person re-identification

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On Embedding a Dataflow Architecture in a Multi-Robot System 6

On Embedding a Dataflow Architecture in a Multi-Robot System

引用

6th ieee international conference on Robotic computing, (IRC)

作者： Bagchi, Menaxi J. Kulkarni, Divya D. Nair, Shivashankar B. Das, Pradip K. Indian Inst Technol Guwahati Dept Comp Sci & Engn Gauhati India

ISBN: (纸本)9781665472609

In real-world robotic systems, new jobs may need to be executed even when the robots are executing the ones assigned earlier. These new jobs can crop up asynchronously and on-the-fly. In this paper, we propose a mechanism that uses the concept of dataflow computing coupled with mobile agent technology, to ensure that new jobs can be added online with minimal interference to the currently executing jobs. The entire system need not be brought to a standstill because of the addition and execution of the new jobs. The proposed mechanism facilitates simultaneous executions of the new jobs along with the ones currently executing. The mechanism also helps make the overall system constituting robots, embedded systems, sensors, personal computers, and mobile and static agents, execute in a decentralized and distributed manner. Experiments are conducted in both emulated and real worlds, using such heterogeneous entities to portray the proposed mechanism.

关键词： Multi-robot systems Multi-agent systems Intelligent agents Dataflow Architecture Distributed and decentralized computing

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Quantum Approximate Optimization Algorithm for Knapsack Resource Allocation Problems in Communication systems

Quantum Approximate Optimization Algorithm for Knapsack Reso...

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ieee international conference on Communications (ieee ICC)

作者： Rehman, Junaid ur Al-Hraishawi, Hayder Chatzinotas, Symeon Univ Luxembourg Interdisciplinary Ctr Secur Reliabil & Trust SnT Luxembourg Luxembourg

ISBN: (纸本)9781538674628

Quantum technologies have recently scaled up from laboratories into commercial applications thanks to the rapid technical developments and the growing investments in quantum computing. These developments open up the way for the emergence of the so-called noisy intermediate-scale quantum (NISQ) devices, where the quantum approximation optimization algorithms (QAOAs) represent a class of algorithms tailored for the NISQ-era computing for provisioning tangible quantum advantages. Meanwhile, wireless communications networks have become more complex over time and the pressure to conquer communications complexity is intense for both researchers and system designers. Specifically, a major optimization problem in this context is the resource allocation in modern communications where typically appears as an intricate 0/1 knapsack (0/1-KP) problem and finding its optimal solution using classical computers is prohibitively difficult. Thus, a parallel QAOA framework for optimizing the 0/1-KP problems is proposed in this paper. The proposal has the space complexity of O(n) and pseudopolynomial time complexity of O(nW), where W is the knapsack's total capacity and n is the total number of items. However, the proposed QAOA solution is highly parallel and can be implemented on M NISQ devices of n-qubits each to obtain O(nW/M) time complexity and O(nM) space complexity. Numerical experiments show high approximation ratios even for shallow depth QAOA instances.

关键词： Resource allocation

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Revolutionizing Industries Through IoT, Blockchain and AI Integration 3

Revolutionizing Industries Through IoT, Blockchain and AI In...

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3rd international conference on Pervasive computing and Social Networking, ICPCSN 2023

作者： Suji Priya, J. Aruna, S. Usha Ranee, L. Tasneem Firdhosh, A. Malavikka, S. Monika, S. Sona College of Technology Department of Computer Applications Salem India

ISBN: (纸本)9798350322842

The integration of the Artificial Intelligence (AI), Blockchain technology, and Internet of Things (IoT) has the potential to revolutionize a wide range of industries and applications. The Internet of Things (IoT) is a unified network of physical gadgets, automobiles, smart apartments, and other items that are built-in with sensors, software, and network connectivity to gather and share information. By integrating IoT with Blockchain technology and AI, it is possible to create decentralized, secure, and intelligent systems that can automate various processes and decision-making tasks. For example, in the supply chain industry, the integration of IoT, Blockchain, and AI can enable tracking real-time of goods, reduce the risk of fraud, and improve efficiency. In the healthcare sector, the integration of these technologies can enable the secure exchange of medical data, assist in the diagnosis and treatment of patients, and optimize drug development. In addition, the integration of IoT, Blockchain, and AI can also enable the creation of smart cities, where various urban systems such as transportation, energy, and waste management can be optimized through the use of intelligent and decentralized technologies. Overall, the integration of IoT, Blockchain, and AI has the potential to transform a wide range of industries and software's, creating new opportunities for innovation and improving the efficiency and security of systems. © 2023 ieee.

关键词： Internet of things

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