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Optimal Bandwidth Utilization Techniques for IoT Device Networks using Edge Computing

Optimal Bandwidth Utilization Techniques for IoT Device Netw...

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Innovation in Technology (ASIANCON), Asian conference on

作者： Dankan Gowda V G. Vijayakumar J. Chandrasekar Shekhar R KDV Prasad Senthil Kumar C Department of Electronics and Communication Engineering BMS Institute of Technology and Management Bangalore Karnataka Department of Information Technology V.S.B. Engineering College Karur Tamilnadu India Department of Social Work ( Aided) Madras School of Social Work Chennai Tamilnadu India Department of Computer Science and Engineering Alliance University Bangalore Karnataka India Symbiosis Institute of Business Management Hyderabad Symbiosis International (Deemed University) Pune India Department of Information Technology School of Computer Science Engineering & Information Systems Vellore Institute of Technology Vellore India

ISBN: (数字)9798350354218

ISBN: (纸本)9798350354225

The IoT devices have persisted on growing at a very fast pace and this has proven very challenging in managing the network bandwidth. This paper spins the new concept of increasing the IoT networks bandwidth by adopting the edge computing strategies. It also offers data processing near the sources which reduces the load on the central servers and cuts down data transfer requirements. The usage of the Dynamic Bandwidth Allocation algorithm in the proposed method also enhances the priority of the imperative data and scales up the transmission rates according to the network status. The number of data units achieve higher values, the latency is less and overall, better results have been obtained for the total network performance. Consequently, the results obtained presented pathways through which the bandwidth challenge in IoT could be addressed by means of edge computing to enhance IoT capacity in the corresponding surroundings.

关键词： Performance evaluation Technological innovation Costs Heuristic algorithms Bandwidth Channel allocation Dynamic scheduling Internet of Things Time factors Edge computing

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A Framework for Tile processing on Edge Servers for Roadside Traffic Surveillance 23

A Framework for Tile Processing on Edge Servers for Roadside...

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Proceedings of the 7th International conference on algorithms, Computing and systems

作者： Saumya Jaipuria Arani Bhattacharya Ansuman Banerjee Advanced Computing and Microelectronics Unit Indian Statistical Institute India Department of Computer Science Indraprastha Institute of Information Technology India

ISBN: (纸本)9798400709098

Roadside traffic monitoring is increasingly performed by deploying roadside high-resolution video cameras and then running Computer Vision (CV) models on the video data. Since computer vision models are compute-intensive as they utilize Deep Neural Networks (DNNs), the data is usually sent to one or more edge servers located adjacent to mobile base stations. Recent techniques propose running CV models on tiles of videos separately to detect and track small objects. Several CV models exist, each with different requirements of compute and memory. Since more compute and memory-intensive CV models provide higher accuracy, a key challenge of such techniques is to determine which vision model should be used on which tile. This becomes even more challenging if multiple videos are processed by the same edge server. In this paper, we first formulate this problem of model selection on edge devices as an Integer Linear Programming (ILP) problem, and then propose a heuristic to solve it. Our experiments show that it is quite effective in practice.

关键词： Computer Vision Edge Computing Integer Linear Programming

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Artificial Intelligence and Machine Learning Approaches based on Power Reduction in Automated Internet of Things devices

Artificial Intelligence and Machine Learning Approaches base...

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Advances in Computing, Communication and Applied Informatics (ACCAI), International conference on

作者： Abbas Thajeel Rhaif Alsahlanee Gunita Arun Chandhok T Saravanan D. Sugumaran Kireet Joshi N Rajesh Department of Development and Continuous Education Center Communications Systems Engineering University of Thi-Qar Nasiriyah Thi-Qar Iraq Department of Commerce General Saveetha College of Liberal Arts and Sciences SIMATS Chennai TamilNadu India Department of MCA Madanapalle Institute of Technology & Science Madanapalle India Department of Information Technology Vel Tech Rangarajan DrSagunthala R&D Institute of Science and Technology Chennai Tami Nadu India Department of Computer Science and Engineering Graphic Era Deemed to be University Dehradun Uttarakhand India Department of Electronics and Communication Engineering Maharaja Institute of Technology Mysore Karnataka India

ISBN: (数字)9798350389449

ISBN: (纸本)9798350389456

To guarantee extended battery life and sustainability, there is an increasing need to address power consumption concerns as IoT devices increase in various applications. AI and ML techniques have shown promise in reducing power usage in automated Internet of Things devices. To improve power utilization in IoTdevices, this study investigates the application of AI and ML approaches to various tactics, including energy-efficient scheduling, adaptive power management, and intelligent sensor data processing. IoT devices may adaptively modify their power consumption using AI and ML algorithms depending on contextual elements like user behavior, ambient circumstances, and workload needs. Predictive analytics powered by AI can also foresee future power needs and optimize energy use before they arise. The usefulness and possible drawbacks of AI and ML-based power-saving approaches for automated IoT devices are reviewed in this study, along with previous research on the subject. Therefore, intelligent power management that improves energy economy without sacrificing performance or user experience is made possible by incorporating AI and ML techniques into IoT device design. By offering insights into cutting-edge power reduction techniques made possible by DL and ML, this article adds to the continuing conversation on the growth of the Internet of Things in a sustainable manner.

关键词： Performance evaluation Power demand Power system management System performance Machine learning Energy efficiency User experience

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Fourier ptychographic microscopy based on Gaussian apodization coherent transfer function constraints 3

Fourier ptychographic microscopy based on Gaussian apodizati...

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3rd International Computing Imaging conference, CITA 2023

作者： Cheng, Hong Li, Ju Liu, Hong Zhang, Hongyi Li, Yang School of Electronic and Information Engineering Anhui University Anhui Hefei230601 China Key Laboratory of Intelligent Computing & Signal Processing Anhui University Anhui Hefei230601 China

ISBN: (纸本)9781510671409

Fourier ptychographic microscopy technique combines the concept of phase retrieval algorithm and synthetic aperture, which can solve the problem that large field of view and high resolution cannot coexist. However, describing the linear transfer process of the imaging system by coherent transfer function in conventional calculations leads to ringing artifacts. Gaussian apodization coherent transfer function constraints is proposed and embedded into the software platform, and a high-resolution Fourier ptychographic microscopy imaging system is constructed together with the designed hardware. The proposed algorithm can reduce the ringing artifacts and ensure the accuracy and resolution of the reconstructed results by simulating experiments and acquiring real images. © 2023 SPIE.

关键词： Imaging systems

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Onboard Audio and Video processing for Secure Detection, Localization, and Tracking in Counter-UAV Applications 22

Onboard Audio and Video Processing for Secure Detection, Loc...

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22nd International conference on Military Communication and information systems, ICMCIS 2022

作者： Toma, Andrea Cecchinato, Niccolò Drioli, Carlo Oliva, Giuseppe Ferrin, Giovanni Sechi, Gianluigi Foresti, Gian Luca Dept. of Mathematics Computer Science and Physics University of Udine Via delle Scienze 206 Udine33100 Italy

Nowadays, UAVs are of fundamental importance in numerous civil applications like search and rescue and military applications like monitoring and patrolling or counter-UAV where the remote UAV nodes collect sensor data. In the last case, flying UAVs collect environmental data to be used to contrast external attacks launched by adversary drones. However, due to the limited computing resources on board of the acquisition UAVs, most of the signal processing is still performed on a ground central unit where the sensor data is sent wirelessly. This poses serious security problems from malicious entities such as cyber attacks that exploit vulnerabilities at the application level. One possibility to reduce the risk is to concentrate part of the computing onboard of the remote nodes. In this context, we propose a framework where detection of nearby drones and their localization and tracking can be performed in real-time on the small computing devices mounted on board of the drones. Background subtraction is applied to the video frames for pre-processing with the objective of an on-board UAV detection using machine-vision algorithms. For the localization and tracking of the detected UAV, multi-channel acoustic signals are instead considered and DOA estimations are obtained through the MUSIC algorithm. In this work, the proposed idea is described in detail along with some experiments and, then, methods of effective implementation are provided. © 2022 The Author(s).

关键词： Aircraft detection

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Estimation of the Cycling Cadence Using Low-Cost Inertial Sensors Mounted on a Bicycle

Estimation of the Cycling Cadence Using Low-Cost Inertial Se...

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Cloudification of the Internet of Things (CIoT)

作者： Hrvoje Mihaldinec Luka Klaić Hrvoje Džapo Department of Electronic Systems and Information Processing University of Zagreb Faculty of Electrical Engineering and Computing Zagreb Croatia

With a rising interest in micro-mobility in the context of green technologies and increased awareness of the importance of regular physical activity, bicycles and e-bikes have gained significant popularity in everyday life. Equipping a bike with smart sensors may provide additional data to complement personal fitness trackers. Previous research has shown that cycling cadence can be measured by IMUs, however, studies were based on expensive commercially available motion tracking development kits, tested in laboratory setup environments. The goal of this research was to investigate the possibilities of measuring the cycling cadence by means of lowcost and easy-to-integrate MEMS inertial measurement units (IMUs) and signal processing algorithms, suitable for running on low-power microcontroller architectures. Moreover, the measurement system was evaluated in realistic conditions on a paved and a pebble road to prove that cheaper IMU sensor alternatives may still achieve satisfactory results in the estimation of cycling parameters in real-life outdoor conditions.

关键词： Micromechanical devices Wireless communication Wireless sensor networks Measurement units Tracking Roads Estimation

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Symbol Synchronizers in High-Speed Adaptive Receivers of optical and Radio Frequency Range

Symbol Synchronizers in High-Speed Adaptive Receivers of Opt...

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2021 systems of Signals Generating and processing in the Field of on Board Communications, SOSG 2021

作者： Kazakov, G.N. Shevtsov, V.A. Moscow Aviation Institute National Research University Moscow Russia

ISBN: (纸本)9780738130897

When developing modern high-speed receivers, the problem of designing high-speed symbol synchronization systems is quite urgent. Usually these are open-loop systems, built according to the Feedforward algorithm without using additional synchronizing pulses (blind receiver). In this paper, a structural diagram of such an adaptive device for symbol synchronization is drawn up, algorithms for the functioning of its main blocks are selected and described: the block for determining the symbol frequency, the block for estimating and correcting the temporal position of the sample and the decimator. Simulation of signal processing in the digital part of a high-speed optical signal receiver with an information transmission rate of 100 Gbit/s, using DP-QPSK modulation and coding of each transmitted frame in accordance with the OTH hierarchy using standard FECs with different redundancy. Simulation confirmed the correct operation of the synchronization device and made it possible to obtain numerical indicators of the normalized synchronization error depending on the bit signal-to-noise ratio and the number of samples used. Based on the simulation results, it has been proven that the investigated symbol synchronization device retains its operability up to the signal-to-noise ratio of 10 dB. This is sufficient to provide a bit error rate of less than 10-3 even when using low position digital modulation without applying error correction coding. © 2021 IEEE.

关键词： Signal to noise ratio

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Mining Alarm Association Rules in optical Transmission Networks Using a Statistical Approach

Mining Alarm Association Rules in Optical Transmission Netwo...

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IEEE International conference on High Performance Computing and Communications (HPCC)

作者： Miao Deng Peng Li Yu Liu Rongjing Zhu Yujie Zhang School of Computer Science and Technology Wuhan University of Science and Technology China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System China

Due to the interconnection between devices in the optical transmission network (OTN), when one device fails and generates alarm information, a large number of other invalid alarms are generated in OTN. How to mining association rules in alarm data is an important problem. In this paper, we investigate the association rules mining problem based on a statistical method. First, we remove the chattering alarm in preprocess to reduce data redundancy. Second, we propose a statistics-based association rule mining algorithm. We use a sliding time window to scan the alarm data, and we exploit the matrix to record the corresponding results. According to the matrix, we calculate the support and confidence of association rules. Compared with other traditional association rule mining algorithms, the proposed algorithm does not need to set the minimum support artificially, and the obtained association rules have strong causality. Through extensive experiments on syn-thetic and real OTN alarm datasets, we verify the effectiveness of our proposed algorithm and the correctness of the obtained association rules.

关键词： optical interconnections Statistical analysis Redundancy optical fiber networks Adaptive optics Data mining optical devices

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processing of data streams in the detection of retroreflective objects

Processing of data streams in the detection of retroreflecti...

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2021 All-Russian conference with International Participation "Spatial Data processing for Monitoring of Natural and Anthropogenic Processes", SDM 2021

作者： Borzov, Sergey M. Potaturkin, Oleg I. Institute of Automation and Electrometry SB RAS Novosibirsk Russia

This work is devoted to the study of methods for detecting retroreflective objects (RRO), including optical and optoelectronic observation devices, based on the search for spatial anomalies in images formed in pulse laser location systems. algorithms and software for detecting RRO have been developed. At the same time, special attention is paid to various methods of forming difference frames with periodic illumination, including preliminary replacing each pixel of the background images with the maximum value for the corresponding neighborhood. The effectiveness of the proposed methods for detecting retroreflective objects in conditions of intense sunlight, despite the presence of specular and diffuse reflecting surfaces in the field of view, is demonstrated. © 2021 Copyright for this paper by its authors.

关键词： Formation of difference images Pulse laser location Remote detection of retroreflective objects Search for spatial anomalies

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Amorphous InAIZnO-based 2T0C Unit for Peak Signal Detection

Amorphous InAIZnO-based 2T0C Unit for Peak Signal Detection

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IEEE International conference on Integrated Circuits, Technologies and Applications (ICTA)

作者： Hao Zhang Lin Bao Haisu Zhang Zhenghao Zhai Hechen Zongwei Wang Cuimei Wang Yimao Cai Shanguo Huang State Key Laboratory of Information Photonics and Optical Communications Beijing University of Posts and Telecommunications Beijing China School of Integrated Circuits Peking University Beijing China

ISBN: (数字)9798331530723

ISBN: (纸本)9798331530730

Real-time peak detection (PD) is a fundamental task in diverse fields ranging from audio processing to telecommunication, where timely and accurate identification of signal peaks is crucial. However, conventional operational amplifier (OPA) based peak detectors suffer from significant hardware overhead and high power-consumption, making them impractical for deployment in edge devices that require low power, small form factors, and high performance. In this work, a novel peak detector based on the amorphous InAIZnO 2T0C DRAM unit is proposed for the first time to facilitate the PD tasks, achieving over $\mathbf{9 0 \%}$ reduction in hardware overhead compared to conventional OPA-based solutions.

关键词： Performance evaluation Operational amplifiers Integrated circuit technology Image edge detection Random access memory Detectors Hardware Real-time systems Distance measurement Signal detection

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