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3rd IEEE International Conference on Automation and Computation, AUTOCOM 2025

作者： Pattanayak, Binod Kumar Samrat, Bhavuk Thomas, Shaji Sudha, F. V. Jaya Choudhary, Deeksha Department of Computer Science and Engineering Odisha Bhubaneswar India Chitkara University Chitkara Centre for Research and Development Himachal Pradesh Baddi174103 India Chitkara University Centre of Research Impact and Outcome Punjab Rajpura140417 India Karnataka Bangalore India Sathyabama Institute of Science and Technology Department of Electronics and Communication Engineering Tamil Nadu Chennai India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India

ISBN: (纸本)9798331542375

Due to the big data era, the use of cloud computing and Internet of Things devices has increased tremendously, which has resulted in the mass collection of personal data. This caused major privacy protection and safety issues, as sensitive personal data could be exploited and misused. Data encryption and similar techniques have largely needed to be improved as a privacy-protecting solution. A new approach to overcome the privacy and security issues in big data networks is federated learning. Federated Learning is a distributed approach to learning in which machine learning models are trained locally on each device (e.g., phone), and the raw data never leaves the local devices to reach a central server. With this device, however, only model updates are sent while the private data continues to be stored locally on the devices for privacy protection. FL has several benefits compared to normal privacy protection methods, such as reducing the risks of data breaches and minimizing computational and communication costs. In addition, FL allows better data management and greater control over personal data as users are involved in training. FL can be an important building block for privacy and security in large data networks, and it has been adopted by most of the major technology companies as part of their applications. They still have to solve problems like efficient convergence of the model, heterogeneous data and so on. FL is still being prepared for practical use in big data networks and needs more research based on its development to protect privacy. © 2025 IEEE.

关键词： Federated learning

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Calibration-free method of recovering the time-varying absorbance profile in TDLAS by the Fourier reconstructed spectroscopy

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Measurement: Journal of the International Measurement Confederation 2025年 253卷

作者： Yang, Youquan Peng, Zhimin Zheng, Dao Ding, Yanjun Du, Yanjun School of Control and Computer Engineering North China Electric University Beijing102206 China State Key Laboratory of Power Systems Department of Energy and Power Engineering Tsinghua University Beijing100084 China Shanxi Research Institute of Huairou Laboratory Taiyuan030032 China

Traditional scan-direct absorption spectroscopy (scan-DAS) is susceptible to 1/f noise, limiting its ability to realize high signal-to-noise ratio (SNR) measurements. This study proposes a calibration-free and noise-immune method, named fast scan–Fourier reconstructed spectroscopy (FC-FRS), capable of improving the SNR of the single-shot absorbance spectrum and reconstructing the time-varying absorbance without decreasing the time resolution. Two validation experiments with CO2 absorbance varying over time were designed using a shock tube device within the millisecond time duration. In the first validation experiment, CO2 was gradually released during the combustion of hydrocarbons, resulting in the slowly increased CO2 absorbance. The average spectral SNR of FC-FRS reconstructed absorbance at 2100 K reached 73.51, which increased by 22.83 % compared to the original scan-DAS spectrum. The CO2 generation profile extracted from the recovered absorbance agreed well with the prediction of kinetic mechanisms. In the second experiment where the CO2 absorbance was stable behind the reflected shock at 1312 K, the average spectral SNR of the recovered absorbance line behind the reflected shock was 433.81, which is 44 % higher than that of the scan-DAS spectrum. The averaged fitted line strength from the recovered absorbance curve had a relative error of only 1.07 % compared to the HITAN2020 database. Finally, the proposed method was compared with the 2f/1f method of scan-WMS in a static CO measurement experiment, the FC-FRS showed the similar SNR but better stability over time. © 2025 Elsevier Ltd

关键词： Absorption spectroscopy

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Optical Cross-Connect Technologies for Flexible Optical Networks 3

Optical Cross-Connect Technologies for Flexible Optical Netw...

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3rd IEEE International Conference on Automation and Computation, AUTOCOM 2025

作者： Aggarwal, Prateek Nanduri, Sireesha Poonguzhali, S. Singh, B.P. Aggarwal, Prateek Das, Satya Ranjan Chitkara University Chitkara Centre for Research and Development Himachal Pradesh Baddi174103 India Karnataka Bangalore India Sathyabama Institute of Science and Technology Department of Electronics and Communication Engineering Tamil Nadu Chennai India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Centre of Research Impact and Outcome Chitkara University Punjab Rajpura140417 India Department of Computer Science and Engineering Odisha Bhubaneswar India

ISBN: (纸本)9798331542375

Various optical cross-connect technologies are being developed for flexible next-generation optical networks to ensure the efficiency of real-time optical network routing. Demand for larger bandwidth and faster data transmission continues to grow. Therefore, these networks are becoming more and more significant. Conventional optical cross-connects offer limited scalability, and they need to be more flexible by nature due to their traditional architecture, hindering fast adaptation to altering traffic patterns. A solution to this problem is the new OXC technologies, which allow dynamic and reconfigurable optical networks. These technologies use high-end optics and electronics, including wavelength-selective switches and coherent receivers, to offer routing and switching flexibility. One key benefit of flexible OXC technologies is that their capabilities to support different transmission formats and data rates cater well to specific service requisites. They also allow for greater implementation of software-defined networking principles, creating centralized control and management over the network. Moreover, flexible OXCs enable efficient tower best practices and O&M savings through reduced manual network intervention. © 2025 IEEE.

关键词： Bandwidth

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Advancements in Wavelength Division Multiplexing for High-Capacity Optical Networks 3

Advancements in Wavelength Division Multiplexing for High-Ca...

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3rd IEEE International Conference on Automation and Computation, AUTOCOM 2025

作者： Nandhitha, N.M. Yadav, Rakesh Kumar Khurana, Shivam Dash, Rasmita Khurana, Shivam Shalini Sathyabama Institute of Science and Technology Department of Electronics and Communication Engineering Tamil Nadu Chennai India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Chitkara University Centre of Research Impact and Outcome Punjab Rajpura140417 India Department of Computer Science and Engineering Odisha Bhubaneswar India Chitkara University Chitkara Centre for Research and Development Himachal Pradesh Baddi174103 India Karnataka Bangalore India

ISBN: (纸本)9798331542375

Wavelength Division multiplexing a core technology for increasing the capacity and performance of optical networks. This is called wavelength-division multiplexing and allows different optical signals to be sent simultaneously through the same physical piece of optical fiber greatly increasing the efficiency of the network. Wavelength Division multiplexing technology has developed with a higher data transmission rate and network reliability to address the ever-increasing demand for high-capacity optical networks. Recent advancements in WDM tech have aimed to boost the channel capacity by increasing channels sent through a single fiber number of wavelengths. Wavelength division multiplexing systems (WDM) have successfully expanded channel capacity from 4 channels in the early 1990s to more than the current limit of approximately 100 channels through optical amplifiers and advanced modulation techniques. This has ensured inhomogeneity boost across low-speed per-network, targeted towards throughput range multi-terabit each second network rates. Clamp through high through-load websites;the evolution of Coherent Wavelength Division Multiplexing is another significant step in this direction. Through sophisticated digital signal processing techniques, Cod can reduce the impact of the inherent impairments that plague optical signals and achieve more extended transmission ranges and higher data rates. © 2025 IEEE.

关键词： Wavelength division multiplexing

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Integrated Photonic Routing and Switching for Scalable Optical Interconnects 3

Integrated Photonic Routing and Switching for Scalable Optic...

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3rd IEEE International Conference on Automation and Computation, AUTOCOM 2025

作者： Rajalakshmi, G. Agarwal, Ankita Kalra, Hitesh Potluri, Avinash Swadimath, Uma C. Sathyabama Institute of Science and Technology Department of Electronics and Communication Engineering Tamil Nadu Chennai India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Centre of Research Impact and Outcome Chitkara University Punjab Rajpura140417 India Department of Computer Science and Engineering Odisha Bhubaneswar India Chitkara Centre for Research and Development Chitkara University Himachal Pradesh Baddi174103 India Karnataka Bangalore India

ISBN: (纸本)9798331542375

The rapid increase in demand for higher data transfer rates and scalability, especially in data centers and other networks, has resulted in the emergence of Integrated Photonic Routing and switching technology for optical interconnects. IPRS uses integrated photonics, a technology that allows multiple photonic functions to be integrated on one chip to build scalable, high-speed optical networks. It replaces conventional electronic switches, constrained by system bandwidth and energy dissipation, with efficient, high-performance photonic switches. The IPRS system contains photonic router/switching units that route the data signals through different routing paths and finally switch them to the appropriate output port. A scalable photonic interconnect network that scales to interconnect without performance loss connects these units. It enables highly interoperable and flexible optical networks that can satisfy the increasing demand for data transmission. Likewise, integrated photonics are associated with numerous unique benefits in IPRS, such as decreased power consumption, more extensive bandwidth, and less delay than electronic interconnects. In addition, combining several photonic functionalities on a single chip leads to a small-size and low-cost solution that can be used to integrate thousands of chips into large-scale optical networks. This process to fabricate devices and integrated photonics receivers technology brings the potential for scalable on-chip high-speed optical interconnects and further addresses performance scalabilities cost-effectively, which is required in data centers, supercomputers and other high-performance networks. © 2025 IEEE.

关键词： Internet

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Challenges and Solutions for Securing Cloud-Based Virtual Private Networks (VPNs) 3

Challenges and Solutions for Securing Cloud-Based Virtual Pr...

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3rd IEEE International Conference on Automation and Computation, AUTOCOM 2025

作者： Parmar, Yuvraj Satish Kumar, R. Karthikeyan, V. Shukla, Gaurav Mishra, Debahuti Chitkara University Chitkara Centre for Research and Development Himachal Pradesh Baddi174103 India Karnataka Bangalore India Sathyabama Institute of Science and Technology Department of Electronics and Communication Engineering Tamil Nadu Chennai India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Chitkara University Centre of Research Impact and Outcome Punjab Rajpura140417 India Department of Computer Science and Engineering Odisha Bhubaneswar India

ISBN: (纸本)9798331542375

Cloud-based virtual private networks are becoming common as fewer connections to the company network make them cost-effective and convenient. Nonetheless, increased cyber-attacks and data breaches have made it incredibly difficult for organizations to secure these VPNs. In this technical abstract, we will highlight & describe issues with securing cloud-based VPNs, along with a few ideas for making them secure. In the first rung, there are those weaknesses of cloud-based VPN infrastructure. Since these VPNs are hosted on third-party cloud servers, they are susceptible to DoS and DDoS attacks. Moreover, due to the collaborative/inexpensive nature of cloud servers, they are also vulnerable when it comes to leaking data and getting unauthorized access. The second challenge is that managing the security of so many VPN connections becomes very difficult. Keeping track of all VPN users and their devices and which security protocols are being used becomes cumbersome for organizations, making detecting and responding quickly to a security breach difficult. Organizations should consider implementing multi-factor authentication and strong encryption protocols for their cloud-based VPNs to remedy these complications. Regular vulnerability assessments and penetration tests are also important to identify security risks. Also, a centralized network security management system can ensure more visibility and control of VPN connections. © 2025 IEEE.

关键词： Authentication

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Novel Antenna Designs for High Data Rate Body-Centric Communications in Wearable Devices 3

Novel Antenna Designs for High Data Rate Body-Centric Commun...

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3rd IEEE International Conference on Automation and Computation, AUTOCOM 2025

作者： Soni, Ishika Manjunatha, R. Baskar, V. Vijaya Singh, Daljeet Pal Parashar, Komal Panda, Niranjan Chitkara Centre for Research and Development Chitkara University Himachal Pradesh Baddi174103 India Karnataka Bangalore India Sathyabama Institute of Science and Technology Department of Electronics and Communication Engineering Tamil Nadu Chennai India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Chitkara University Centre of Research Impact and Outcome Punjab Rajpura140417 India Department of Computer Science and Engineering Odisha Bhubaneswar India

ISBN: (纸本)9798331542375

There is an ever-increasing demand for high data rate communication embedded in wearable devices owing to the exponential growth of smart devices and related technology. The human body is always around, which means that traditional antenna designs will not work well with body-centric communications operations, as signal loss and interference from the presence of the human body must be addressed. This project addresses this limitation by designing new body-centric communications antenna designs for incorporation into wearable devices. Antennas proposed in the literature can use novel techniques that reach high data rates while providing reliable communication links and features like compactness, low power consumption, and multi-band functionalities. The designs are optimized to ensure that the human body has a minimal effect on the signal enhancing performance and stability. The antennas are designed and simulated using advanced simulation tools and validated in the lab. These findings demonstrate the remarkable advantages of high-speed data transmission and link quality compared to traditional antennas. It contributes to developing novel antenna designs that wearable device manufacturers can incorporate into high data rate body-centric communications, enabling dramatically improved performance within tight space constraints. This will make it possible to create next-generation wearable devices with communication functions for applications ranging from healthcare and sports to virtual reality. © 2025 IEEE.

关键词： Signaling

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Dual-Mode Disturbance Observer-based Predictive Control with Harmonic Current Suppression for Dual Three-Phase Permanent Magnet Synchronous Motor Drives

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IEEE Journal of Emerging and Selected Topics in Power Electronics 2025年

作者： Liu, Huanli Lin, Weiyang Liu, Zhitai Yu, Xinghu Buccella, Concettina Cecati, Carlo Harbin Institute of Technology Research Institute of Intelligent Control and Systems Harbin150001 China Ningbo Institute of Intelligent Equipment Technology Company Ltd Ningbo315200 China University of L'Aquila DigiPower srl Department of Information Engineering Computer Science and Mathematics L'Aquila67100 Italy

Dual three-phase permanent magnet synchronous motor drives have gained considerable interest in those applications requiring high levels of reliability. However, they often suffer from high-order harmonic currents and mismatch of motor parameters, resulting in degraded performance and reduced efficiency. Therefore, this paper proposes a dual-mode disturbance observer based model predictive current controller. Not only direct current disturbances caused by motor parameters, but also alternating current disturbances caused by high-order harmonic currents are explicitly modeled and estimated to achieve improved model accuracy. In addition, the observer parameter design is given in detail. Furthermore, a generalized predictive current controller with the integration of the proposed observer is developed to provide satisfactory harmonic current suppression capability and parameter robustness simultaneously. Proof of the stability with the proposed controller is given and several experiments and comparisons demonstrate the effectiveness of the proposed method. © 2013 IEEE.

关键词： Permanent magnets

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Multi-Topic Belief Formation Through Bifurcations Over Signed Social Networks

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IEEE Transactions on Automatic Control 2025年

作者： Bizyaeva, Anastasia Franci, Alessio Leonard, Naomi E. University of Washington NSF AI Institute in Dynamic Systems Dept. of Mechanical Engineering SeattleWA98195 United States University of Liège Dept. of Electrical Engineering and Computer Science Belgium WEL Research Institute Wavre Belgium Princeton University Dept. of Mechanical and Aerospace Engineering PrincetonNJ08544 United States

We propose and analyze a nonlinear dynamic model of continuous-time multi-dimensional belief formation over signed social networks. Our model accounts for the effects of a structured belief system, self-appraisal, internal biases, and various sources of cognitive dissonance posited by recent theories in social psychology. We prove that agents become opinionated as a consequence of a bifurcation. We analyze how the balance of social network effects in the model controls the nature of the bifurcation and, therefore, the belief-forming limit-set solutions. Our analysis provides constructive conditions on how multi-stable network belief equilibria and belief oscillations emerging at a belief-forming bifurcation depend on the communication network graph and belief system network graph. Our model and analysis provide new theoretical insights on the dynamics of social systems and a new principled framework for designing decentralized decision-making on engineered networks in the presence of structured relationships among alternatives. © 1963-2012 IEEE.

关键词： Continuous time systems

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A Novel Intelligent Task Offloading Scheme for Multi-Controller Environment in Software Defined Internet of Vehicles

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IEEE Internet of Things Journal 2025年

作者： Hussain, Mir Wajahat Sangaiah, Arun Kumar Reddy, K. Hemant Kumar Roy, Diptendu Sinha Alenazi, Mohammed J.F. Javvaji, Pavan Kumar Department of Computer Science and Engineering Alliance College of Engineering and Design Alliance University Karnataka Anekal562106 India International Graduate Institute of Artificial Intelligence National Yunlin University of Science and Technology Yunlin Taiwan School of Engineering and Technology Sunway University Selangor Petaling Jaya47500 Malaysia University Centre for Research and Development Chandigarh University Punjab Mohali140413 India School of Computer Science and Engineering VIT-AP University Andhra Pradesh Amaravati522237 India Department of Computer Science and Engineering National Institute of Technology Meghalaya 793003 India College of Computer and Information Sciences Department of Computer Engineering King Saud University Riyadh11451 Saudi Arabia

The Internet of Vehicles (IoV), equipped with sensors, generates vast amounts of data, demanding rigorous computation and network. The cloud computing platform meets these stringent computation requirements, but it has a significant latency that fog computing effectively handles. Software Defined Network (SDN) has become the de facto standard for next-generation networking due to its unique and flexible features, which handle the network pre-requisites in an agile manner. Task Offloading (TO) is a crucial issue in Software Defined-IoV (SDIoV), particularly when the vehicle's resources are insufficient. Fog nodes schedule offloaded tasks;however, neglecting computational and network details during task scheduling can lead to longer completion times, thereby restricting the functionality of SD-IoV due to its time-sensitive nature. Therefore, this paper introduces two proactive Intelligent Task Offloading (ITO' and ITO) schemes. These schemes schedule tasks onto fog nodes with enhanced computational capabilities, dynamically enable the network through the ovs-ofctl SDN utility, and consider vehicle mobility during task scheduling. Experiments with Mininet show that the proposed (ITO' and ITO) schemes improve performance in terms of CPU availability, bandwidth, and throughput by 5.2 times, 50% and (30.7-13.9)% more than the existing scheme. They also reduce average packet loss, delay, Round Trip Time (RTT), and offloaded node time selection by (45.35-21.3)%, (50-33.3)%, (53.9-9.9)% and (43.2-26.06)% which demonstrates the efficacy of the proposed scheme. © 2025 IEEE.

关键词： Fog computing

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