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4th International Conference on Sustainable Technologies for Industry 4.0, STI 2022

作者： Faisal, Faiz Al Hafizur Rahman, M.M. Inoguchi, Yasushi Green University of Bangladesh Department of Computer Science and Engineering Dhaka Bangladesh Ccsit King Faisal University Department of Computer Networks & Communications Saudi Arabia Jaist Research Center for Advanced Computing Infrastructure Nomi Ishikawa Japan

ISBN: (纸本)9781665490450

Exa-scale supercomputing is the prime target for the supercomputers. To reach at that point, supercomputers require redesigning the interconnection networks to support high network scalability, suitable network performance, low cost-performance ratio, low power usage, high fault-tolerance, low network congestion and high throughput with low latency. Among the thousand of interconnection networks, one of the most capable one is 3D-TESH, is a hierarchical interconnection network (HIN) interconnected with multiple basic modules (basic modules are basically treated as single on-chip network), where each on-chip network is similar to a 3Dmesh network and off-chip network are built using the 2Dtorus connections. Some static network parameters as well as dynamic communication performance (on-chip level) had been studied earlier for 3DTESH, which ensured the high significance of this network in comparing with others. Moreover, in case of power consumption, it requires about 41% less router power than 5Dtorus at the on-chip level. In this paper, we like to evaluate some other important static parameters like- packing density, fault tolerance, wiring complexity, cost effectiveness factor and etc. Here, we found that 3D-TESH yields much better results than network like - 3Dmesh, 2Dmesh, 2Dtorus, TESH and even the 3Dtorus. © 2022 IEEE.

关键词： Cost effectiveness

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Deep Complex-valued Radial Basis Function Neural Networks and Parameter Selection

arXiv

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arXiv 2024年

作者： Soares, Jonathan A. Luiz, Vinícius H. Arantes, Dalton S. Mayer, Kayol S. Department of Communications School of Electrical and Computer Engineering Universidade Estadual de Campinas UNICAMP SP Campinas Brazil

In the ever-evolving field of artificial neural networks and learning systems, complex-valued neural networks (CVNNs) have become a cornerstone, achieving exceptional performance in image processing and telecommunications. More precisely, in digital communication systems, CVNNs have been delivering significant results in tasks like equalization, channel estimation, beamforming, and decoding. Among the CVNN architectures, the complex-valued radial basis function neural network (C-RBF) stands out, especially when operating in noisy environments such as 5G multiple-input multiple-output (MIMO) systems. In such a context, this paper extends the classical shallow C-RBF to deep architectures, increasing its flexibility for a wider range of applications. Also, based on the parameter selection of the phase transmittance radial basis function (PT-RBF) neural network, we propose an initialization scheme for the deep C-RBF. Via rigorous simulations conforming to 3GPP TS 38 standards for digital communications, our method not only outperforms conventional initialization strategies like random, K-means, and constellation-based methods but it also seems to be the only approach to achieve successful convergence for deep C-RBF architectures. These findings pave the way to more robust and efficient neural network deployments in complex-valued digital communication systems. © 2024, CC BY.

关键词： Radial basis function networks

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Design and Analysis of 8-Way RF Feeding Network for C-Band Airborne Synthetic Aperture Radar Applications Using Conventional Technique

Design and Analysis of 8-Way RF Feeding Network for C-Band A...

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2024 IEEE Wireless Antenna and Microwave Symposium, WAMS 2024

作者： Thokala, Niharika Vallabhaneni, Ramvasri Sanaka, Pooiitha Sai Nadha Raiu Chakravaram, Murali Sesha Kati, Praveena Kishore Kothapudi, Venkata Gottapu, Srinivas Kiran Tadikonda, Pradeep Kumar Gurajala, Vignesh Adapa, Chaitanya Pavan Rao Sunkara, Siva Nageswara Centre of Excellence Advanced RF Microwave & Wireless Communications School of Electrical Electronics and Communication Engineering Vignan's Foundation for Science Technology and Research Department of Electronics and Communication Engineering Guntur District Andhra Pradesh Vadlamudi522213 India Benedict College Department of Engineering and Computer Sciences 1600 Harden st ColumbiaSC29204 United States

ISBN: (纸本)9798350358926

This study proposes the design and analysis of an 8-way power divider for unequal division at 5.3 GHz for C band frequency. Many transmission line pieces make up the current power divider. These Transmission lines were printed on a substrate material (RT/duroid 5880, 1.6 mm thick, permittivity 2.2, and loss tangent 0.0002).The 8-way power divider's unequal amplitudes are constructed using Taylor's 1-parameter method to achieve the side projections levels - 17 dB down as from main *** proposed power divider consists of using 2 transmission lines with a 3/4 frequency are connected to branched microstriplines, providing excellent isolation and matching between the power divider's two output ports. This power divider is composed of three stages. A 1:2 power divider is used in the first stage, a 1:4 power divider is used in the second stage, and a 1:8 power divider is used in the third stage. According to the simulation results, 1:2 delivers half of the input power, 1:4 produces one-fourth of the power, and 1:8 delivers one-eighth of the input *** of these assessments were done with the Advanced Design System (ADS) simulation programme. According to both simulated and measured data, the return loss exceeds -35 dB, and the isolation across the output terminals exceeds -40 dB. The proposed circuit operates effectively at C-band frequencies in terms of return loss and isolation (4GHz and 8GHz). © 2024 IEEE.

关键词： Electric lines

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Multiparameter Optical Performance Monitoring of PAM Channels Using Asynchronous Amplitude Histogram

Multiparameter Optical Performance Monitoring of PAM Channel...

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2024 Conference on Lasers and Electro-Optics, CLEO 2024

作者： Li, Si-Ao Yang, Jian Liu, Yuanpeng Zhao, Wenqian Zhang, Yiwen Zhang, Runzhou Pan, Zhongqi Yue, Yang Institute of Modern Optics Nankai University Tianjin300350 China Department of Electrical Engineering University of Southern California Los AngelesCA90089 United States Department of Electrical & Computer Engineering University of Louisiana at Lafayette LafayetteLA70504 United States School of Information and Communications Engineering Xi'an Jiaotong University Xi'an710049 China

PAM signal performance monitoring is demonstrated using GBDT method combined with AAH, achieving a 97.54% accuracy for jointly monitoring 4 parameters, and by using moving average preprocessing, the accuracy of disper... 详细信息

ISBN: (纸本)9781957171395

关键词： Dispersion (waves)

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IoT-Enabled Multilevel Solar Dryer for Agriculture

IoT-Enabled Multilevel Solar Dryer for Agriculture

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2023 IEEE International Conference on Internet of Things and Intelligence Systems, IoTaIS 2023

作者： Lugnasin, Joseph Vincent B. Pena, Robert Alfie S. Dumlao, Samuel Matthew G. Macabebe, Erees Queen B. School of Science and Engineering Ateneo de Manila University Ateneo Energy Research Laboratory Department of Electronics Computer and Communications Engineering Quezon City Philippines Graduate School of Energy Science Kyoto University Department of Socio-Environmental Energy Science Kyoto Japan

ISBN: (纸本)9798350319040

In the Philippines, produce such as corn, rice, and fish are usually dried through the traditional sun-drying method due to the lack of affordable alternatives that ensure better drying conditions. As such, an off-grid Internet-of-Things(IoT) multilevel solar dryer for fish was designed and developed in this study. Anchovies (dilis), being one of the common fish dried in the Philippines, were dried using the solar dryer. In parallel, the traditional sun-drying method was also conducted to compare the drying time with the solar dryer method. The monitoring system mainly collected the data that helped verify the effectiveness of the solar dryer in drying produce. The recorded data showed that the designed solar dryer was effective in trapping the heat inside since the experiment showed that the mean temperature inside the solar dryer for the top, middle, and bottom racks were 38.96 °C, 36.47 °C and 36.86 °C, respectively, while the mean ambient temperature was 30.43 °C. Moreover, the experiment showed that the solar dryer model could dry the dilis four hours faster than the traditional sun-drying method. The data collected through the monitoring system showed that the solar dryer was effective in drying dilis. © 2023 IEEE.

关键词： Internet of things

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Surveying the Energy Efficiency and Applicability of Blockchain Platforms for the Internet of Things

Surveying the Energy Efficiency and Applicability of Blockch...

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IEEE World Forum on Internet of Things (WF-IoT)

作者： Lina AbuGhaush Anastassia Gharib Department of Communications Engineering Princess Sumaya University for Technology Amman Jordan Department of Computer Engineering Princess Sumaya University for Technology Amman Jordan

ISBN: (数字)9798350373011

ISBN: (纸本)9798350373028

Numerous smart applications have been made possible by recent advancements in edge computing and the Internet of Things (IoT). Smart cities, smart homes, smart grids, and intelligent healthcare are examples of related industries. They join edge and sensor devices together in the process of generating big data and controlling objects. Blockchain technology is well-known for addressing security concerns, trust issues, and data privacy in IoT networks. This is because blockchain’s decentralized nature and immutable records can guarantee IoT data integrity against unauthorized changes. However, limited energy and processing resources of IoT devices are generally insufficient to support many blockchain protocols. In this paper, we survey key features, energy efficiency, and applicability of selected blockchain platforms for the IoT. Compared to existing surveys in the field of blockchain and IoT integration, which focus on the security advantages of incorporating blockchain technologies in IoT networks, we focus on the energy efficiency and compatibility aspects to improve the performance of IoT networks.

关键词： Surveys Distributed ledger Smart cities Process control Smart homes Energy efficiency Blockchains Smart grids Internet of Things Security

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Information Rates of Successive Interference Cancellation for Optical Fiber

arXiv

引用

arXiv 2024年

作者： Jäger, Alex Kramer, Gerhard Institute of Communications Engineering Department of Computer Engineering School of Computation Information and Technology Technical University of Munich Munich80333 Germany

Joint detection and decoding (JDD) achieves rates based on information theory but is too complex to implement for many channels with memory or nonlinearities. Successive interference cancellation (SIC) at the receiver, combined with multistage encoding at the transmitter, is a method that lets one use coded modulation for memoryless channels to approach JDD rates. A SIC-based receiver is presented to compensate for inter-channel interference in long-haul optical fiber links. Simulations for 1000 km of standard single-mode fiber with ideal distributed Raman amplification, single-polarization transmission, and circularly symmetric complex Gaussian (CSCG) modulation show that SIC attains the achievable information rates (AIRs) of JDD using surrogate channel models with correlated phase and additive noise (CPAN). Moreover, the AIRs of ring constellations are compared to those of CSCG modulation. Simulations show that 32 rings, 16 SIC-stages, and Gaussian message passing on the factor graph of the CPAN surrogate model achieve the JDD rates of CSCG modulation. The computational complexity scales in proportion to the number of SIC-stages, where one stage has complexity similar to separate detection and decoding. Copyright © 2024, The Authors. All rights reserved.

关键词： Additive noise

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Neural Network-based Subcarrier-level Joint Channel Estimation and Decoding for MIMO-OFDM Receivers

Neural Network-based Subcarrier-level Joint Channel Estimati...

引用

IEEE Latin-American Conference on communications, LATINCOM

作者： Jonathan A. Soares Kayol S. Mayer Dalton S. Arantes Department of Communications School of Electrical and Computer Engineering Universidade Estadual de Campinas – UNICAMP Campinas SP Brazil

ISBN: (数字)9798331521110

ISBN: (纸本)9798331521127

The increasing demands of modern telecommunications require improvements in spectral efficiency and system throughput. In this context, our study introduces a novel decoding method for MIMO-OFDM systems employing parallel neural networks, which markedly enhances decoding speed and accuracy over previous models. Unlike serial decoding, which fails to address the unique characteristics of individual subcarriers, our method employs distinct phase-transmittance radial basis function (PT-RBF) neural networks for each subcarrier. This parallel processing approach significantly reduces decoding time and increases system adaptability by effectively managing nonlinear impairments and intersymbol interference. Simulation results show that our method outperforms conventional decoding techniques in reducing bit error rate (BER) across both linear and nonlinear scenarios.

关键词： Spectral efficiency Simulation Neural networks Bit error rate Intersymbol interference Receivers Parallel processing Throughput Decoding Telecommunications

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Four Coherent Dispersive Waves Emission for OAM3,1 Mode in a Ring-Core Fiber

Four Coherent Dispersive Waves Emission for OAM3,1 Mode in a...

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2024 Nonlinear Photonics, NP 2024

作者： Geng, Wenpu Fang, Yuxi Zeng, Zhi Bao, Changjing Pan, Zhongqi Yue, Yang Institute of Modern Optics Nankai University Tianjin300350 China School of Information and Communications Engineering Xi'an Jiaotong University Xi'an710049 China Department of Electrical Engineering University of Southern California Los AngelesCA90089 United States Department of Electrical & Computer Engineering University of Louisiana at Lafayette LafayetteLA70504 United States

A ring-core fiber is designed to generate four DWs for OAM3,1 mode. Pumping under normal dispersion, the simulated coherent output spectrum spans 1100 nm with four distinct peaks at 760, 1130, 1430 and 1685 nm. ©... 详细信息

关键词： Dispersion (waves)

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On the Parameter Selection of Phase-transmittance Radial Basis Function Neural Networks for Communication Systems

arXiv

引用

arXiv 2024年

作者： Soares, Jonathan A. Mayer, Kayol S. Arantes, Dalton S. Department of Communications School of Electrical and Computer Engineering Universidade Estadual de Campinas - UNICAMP SP Campinas Brazil

In the ever-evolving field of digital communication systems, complex-valued neural networks (CVNNs) have become a cornerstone, delivering exceptional performance in tasks like equalization, channel estimation, beamforming, and decoding. Among the myriad of CVNN architectures, the phase-transmittance radial basis function neural network (PT-RBF) stands out, especially when operating in noisy environments such as 5G MIMO systems. Despite its capabilities, achieving convergence in multi-layered, multiinput, and multi-output PT-RBFs remains a daunting challenge. Addressing this gap, this paper presents a novel Deep PT-RBF parameter initialization technique. Through rigorous simulations conforming to 3GPP TS 38 standards, our method not only outperforms conventional initialization strategies like random, K-means, and constellation-based methods but is also the only approach to achieve successful convergence in deep PT-RBF architectures. These findings pave the way to more robust and efficient neural network deployments in complex digital communication systems. © 2024, CC BY.

关键词： Radial basis function networks

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