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作者： Bar-Lev, Daniella Marcovich, Sagi Yaakobi, Eitan Yehezkeally, Yonatan Technion - Israel Institute of Technology Department of Computer Science Haifa3200003 Israel Institute for Communications Engineering School of Computation Information and Technology Technical University of Munich Munich80333 Germany

We study the adversarial torn-paper channel. This problem is motivated by applications in DNA data storage where the DNA strands that carry information may break into smaller pieces which are received out of order. Our model extends the previously researched probabilistic setting to the worst-case. We develop code constructions for any parameters of the channel for which non-vanishing asymptotic rate is possible and show our constructions achieve asymptotically optimal rate while allowing for efficient encoding and decoding. Finally, we extend our results to related settings included multi-strand storage, presence of substitution errors, or incomplete coverage. © 1963-2012 IEEE.

关键词： DNA sequences

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A PDR Method Combining Smartphone and Smartwatch based on Multi-Scenario Map Matching 10

A PDR Method Combining Smartphone and Smartwatch based on Mu...

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10th IEEE Global Conference on Consumer Electronics, GCCE 2021

作者： Wakaizumi, Tomoya Togawa, Nozomu Waseda University Department of Computer Science And Communications Engineering Japan

ISBN: (纸本)9781665436762

As smartphones are widely spread and used, the pedestrian navigation systems are utilized in our daily lives. A pedestrian dead reckoning method, or PDR method in short, is one of the positioning methods in indoor environments, which estimates user's positions by using sensors such as acceleration and angular velocity sensors. Particularly, by combining smartphone and smartwatch sensors, an effective PDR method has been proposed. This method can reduce drift errors even when the user carries his/her smartphone in various carrying modes without external infrastructures. However, the estimation errors tend to become large in the environments with many right and left turns. In this paper, we propose a PDR method combining smartphone and smartwatch sensors based on map information. In the proposed method, we generate walking nodes and walking edges from map information given and introduce multiple scenarios to effectively infer the user's current positions. Through experimental evaluation, we confirmed the effectiveness of the proposed method. © 2021 IEEE.

关键词： Indoor positioning systems

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Predicting the Success of Motion Pictures using Deep Learning 6

Predicting the Success of Motion Pictures using Deep Learnin...

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6th International Conference on Information Systems and computer Networks, ISCON 2023

作者： Kumar, Gaurav Pandey, Saroj Kumar Varshney, Neeraj Mishra, Pankaj Singh, Kamred Udham Verma, Kshitiz GLA University Department of Computer Engineering and Applications UP Mathura India Rungta Engg.college Department of Electronics and Communications Engineering Bhilai India Graphic Era Hill University School of Computing Dehradun India CSVTU-Bhilai Durg Department of BioMedical Engineering India

ISBN: (纸本)9798350346961

Since each Motion Picture costs billions of dollars to create, the number of films made globally is increasing exponentially. As a result, the success of a movie is significant. The film industry is also a multi-billion dollar industry that significantly sustains a nation's economy. The amount of money made from the sale of Motion Picture tickets, or the box office, is a vital sign of how well-liked a film is. It changes based on several variables, such as the production company, the genre, the budget, the reviews, ratings, etc. Calculations based on ML extract compelling examples from large amounts of data and support the dynamic process in corporate settings. The producers' social media marketing tactics significantly impact how quickly a Motion Picture will become successful. It's crucial to know what types of Motion Pictures people enjoy, whether they watch them at home or in theatres, as this information will assist producers and directors in creating excellent films. Therefore, utilizing ML techniques that will automatically serve the goal, we may learn how to estimate a Motion Picture's likelihood of success. Days after a Motion Picture's debut are crucial. Thus, production companies place a lot of weight on audience feedback and exposure techniques to impact. Additionally, since they must oversee the Motion Picture's screenings, it will benefit many theatre owners. Following the publication of the Motion Picture's trailer, We are obtaining comments and Tweet postings from the relevant Twitter and YouTube APIs, and doing sentiment analysis on them. So, by examining the feelings of feature film comments on Twitter and Youtube, we present a system to forecast the box office performance of Motion Pictures using ML ideas.. © 2023 IEEE.

关键词： Motion pictures

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Lyapunov-Based Model Predictive Control for Stable Operation of a 9-Level Crossover Switches Cell Inverter in Grid Connection Mode 49

Lyapunov-Based Model Predictive Control for Stable Operation...

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49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Trabelsi, Mohamed Makhamreh, Hamza Alquennah, Alamera Nouran Vahedi, Hani Kuwait College of Science and Technology Electronics and Communications Engineering Department Kuwait City Kuwait Özyeǧin University Department of Electrical and Electronic Engineering Istanbul Turkey Texas A&m University Department of Electrical and Computer Engineering College StationTX77843 United States Texas A&m University at Qatar Qatar Foundation Doha Qatar Delft University of Technology Department of Electrical Engineering Mathematics and Computer Science Delft Netherlands

ISBN: (纸本)9798350331820

This study proposes the application of a Lyapunov-based Model Predictive Control (L-MPC) approach to a 9-level Crossover Switches Cell (CSC9) converter operating in grid connection mode. The proposed method utilizes the structure of the classical finite-control-set MPC (FCS-MPC) technique while integrating a cost function that requires no tuning. By deriving the cost function based on Lyapunov theory, the system stability is ensured. Notably, the suggested approach offers several advantages over traditional MPC controllers. Firstly, it eliminates the need for gain tuning, thereby simplifying the implementation process. Secondly, the proposed controller prioritizes stability as a key design aspect. The presented simulation results prove that the proposed controller effectively regulates the voltage of the DC capacitor around its desired value and feed a smooth sinusoidal current to the grid with low total harmonic distortion (THD) while operating at a unity power factor. © 2023 IEEE.

关键词： Controllers

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Semantic and spatial‐spectral feature fusion transformer network for the classification of hyperspectral image

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CAAI Transactions on Intelligence Technology 2023年第4期8卷 1308-1322页

作者： Erxin Xie Na Chen Jiangtao Peng Weiwei Sun Qian Du Xinge You Hubei Key Laboratory of Applied Mathematics Faculty of Mathematics and StatisticsHubei UniversityWuhanChina Department of Geography and Spatial Information Techniques Ningbo UniversityNingboChina Department of Electrical and Computer Engineering Mississippi State UniversityMississippi StateMississippiUSA School of Electronic Information and Communications Huazhong University of Science and TechnologyWuhanChina

Recently,transformer‐based networks have been introduced for the classification of hyperspectral image(HSI).Although transformer‐based methods can well capture spectral sequence information,their ability to fuse different types of information contained in HSI is still *** exploit rich spectral,spatial and semantic information in HSI,a novel semantic and spatial‐spectral feature fusion transformer(S3FFT)network is proposed in this *** the proposed S3FFT method,spatial attention and efficient channel attention(ECA)modules are employed for the extraction of shallow spatialspectral ***,a transformer‐based module is designed to extract advanced fused features and to produce the pseudo‐label and class probability of each pixel for semantic feature ***,the semantic,spatial and spectral features are combined by the transformer for *** with traditional deep learning methods and recently transformer‐based methods,the proposed S3FFT shows relatively better results on three HSI datasets.

关键词： image classification machine learning

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QUBO Matrix Distorting Method for Consumer Applications

QUBO Matrix Distorting Method for Consumer Applications

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2022 IEEE International Conference on Consumer Electronics, ICCE 2022

作者： Yoshimura, Tomokazu Shirai, Tatsuhiko Tawada, Masashi Togawa, Nozomu Waseda University Department of Computer Science and Communications Engineering Japan Green Computing System Research Organization Waseda University Japan

ISBN: (纸本)9781665441544

We propose a Quadratic Unconstrained Binary Optimization (QUBO) matrix distorting method to solve combinatorial optimization problems, which are very often seen in consumer applications, with high speed and high accuracy. Combinatorial optimization problems are formulated as the problems of finding the ground state of the energy function determined by the QUBO matrix. The proposed method consists of the local optimization and the distortion of the energy function by adding a constant to each QUBO matrix element with a certain probability. The probability is initially large, decreased during the method linearly, and zero at the end. The distortion process aims to make a local optimal solution to be no longer a local optimum and avoid staying in the local optimal solution with a probability. We apply the proposed method to the graph partitioning problem as a typical combinatorial optimization problem with many local optimal solutions and large energy barriers among them. We verify the effectiveness of the proposed method against the iterative improvement method and the simulated annealing. © 2022 IEEE.

关键词： Ising model

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Effective Edge-Cloud Interplay for NFV-Based Optical Metro-Access Networks Supporting IoT Services

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China communications 2025年第4期22卷 117-128页

作者： Jin Feiming Zhang Yukun Li Hanxue Amr Tolba Zhang Tiantian Science and Technology Department Chongqing University of Posts and TelecommunicationsChongqing 400065China School of Communications and Information Engineering Chongqing University of Posts and TelecommunicationsChongqing 400065China Department of Computer Science Community CollegeKing Saud UniversityRiyadh 11437Saudi Arabia

In optical metro-access networks,Access Points(APs)and Data Centers(DCs)are located on the fiber *** the cloud-centric solution,a large number of Internet of Things(IoT)data pose an enormous burden on DCs,so the Virtual Machines(VMs)cannot be successfully launched due to the server *** addition,transferring the data from the AP to the remote DC may cause an undesirable delivery *** this end,we propose a promising solution considering the interplay between the cloud DC and edge *** specifically,bringing the partial capability of computing in APs close to things can reduce the pressure of DCs while guaranteeing the expected Quality of Service(QoS).In this work,when the cloud DC resource becomes limited,especially for delay sensitive but not computing-dependent IoT applications,we degrade their VMs and migrate them to edge APs instead of the remote *** avoid excessive VM degradation and computing offloading,we derive appropriate VM degradation coefficients based on classic microeconomic *** results demonstrate that our algorithms improve the service providers'utility with the ratio from 34%to 89%over traditional cloud-centric solutions.

关键词： computing offloading edge-cloud interplay network function virtualization optical metroaccess network service degradability

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Performance Evaluation of Uplink 256QAM on Commercial 5G New Radio (NR) Networks

Performance Evaluation of Uplink 256QAM on Commercial 5G New...

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IEEE Conference on Wireless communications and Networking

作者： Kasidis Arunruangsirilert Pasapong Wongprasert Jiro Katto Department of Computer Science and Communications Engineering Waseda University Tokyo Japan Department of Electrical Engineering Chulalongkorn University Bangkok Thailand

ISBN: (数字)9798350303582

ISBN: (纸本)9798350303599

While Uplink 256QAM (UL-256QAM) has been introduced since 2016 as a part of 3GPP Release 14, the adoption was quite poor as many Radio Access Network (RAN) and User Equipment (UE) vendors didn't support this feature. With the introduction of 5G, the support of UL-256QAM has been greatly improved due to a big re-haul of RAN by Mobile Network Operators (MNOs). However, many RAN manufacturers charge MNOs for licenses to enable UL-256QAM per cell basis. This led to some MNOs hesitating to enable the feature on some of their gNodeB or cells to save cost. Since it's known that 256QAM modulation requires a very good channel condition to operate, but UE has a very limited transmission power budget. In this paper, 256QAM utilization, throughput and latency impact from enabling UL-256QAM will be evaluated on commercial 5G Standalone (SA) networks in two countries: Japan and Thailand on various frequency bands, mobility characteristics, and deployment schemes. By modifying the modem firmware, UL-256QAM can be turned off and compared to the conventional UL-64QAM. The results show that UL-256QAM utilization was less than 20% when deployed on a passive antenna network resulting in an average of 8.22% improvement in throughput. However, with Massive MIMO deployment, more than 50% utilization was possible on commercial networks. Furthermore, despite a small uplink throughput gain, enabling UL-256QAM can lower the latency when the link is fully loaded with an average improvement of 7.97 ms in TCP latency observed across various test cases with two TCP congestion control algorithms.

关键词： Performance evaluation Frequency modulation Massive MIMO Licenses Throughput New Radio Modems

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Various Modulation Types Classification on the Air by Convolutional Neural Network 7

Various Modulation Types Classification on the Air by Convol...

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7th International Conference on Future Networks and Distributed Systems, ICFNDS 2023

作者： Hammadi, Yousif I Alsaeedi, Mokhalad Abdulameer Kadhim Mahmood, Omar Abdulkareem Sameen, Aws Zuhair Muthanna, Mohammed Saleh Ali Aziz, Ahmed Bilad Alrafidain University College Diyala Iraq Department Of Communications Engineering College Of Engineering University Of Diyala Baqubah32001 Iraq Department Of Medical Instrumentation Engineering Techniques College Of Medical Techniques Al-Farahidi University Baghdad Iraq Institute Of Computer Technologies And Information Security Southern Federal University Taganrog344006 Russia Department Of Computer Science Faculty Of Computer And Artificial Intelligence Benha University Egypt Department Of International Business Management Tashkent State University Of Economics Tashkent Uzbekistan

ISBN: (纸本)9798400709036

Deep learning (DL), a relatively recent AI technique, has been successfully applied to the problem of automated modulation categorization (AMC), with promising results. An essential part of developing the spectrum-sensing capabilities needed by software-defined radio is carrying out radio signal classification jobs, which we did in this research by introducing a better deep neural architecture. Different detection techniques were utilized in the literature;however, DL neural networks are recently utilized in this field. Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM) which is one variation of the RNN network, and other techniques are some of the employed DL architectures in the field of AMC. In this paper, Convolutional Neural Network (CNN) model has been built to automatically classify ten-modulation formats correctly. The suggested CNN network is constructed mainly of six-Convolutional layers. The overall number of trainable parameters in the proposed network is 1,757,962. Thus, the network accuracy, which was achieved during the training reached more than 90%. Python programming packages have been used to implement the suggested approach using *** platform, which provides wide-range of facilities. © 2023 ACM.

关键词： Network architecture

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Real-World Performance Evaluations of Low-Band 5G NR/4G LTE 4×4 MIMO on Commercial Smartphones

Real-World Performance Evaluations of Low-Band 5G NR/4G LTE ...

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IEEE Conference on Wireless communications and Networking

作者： Pasapong Wongprasert Kasidis Arunruangsirilert Jiro Katto Department of Electrical Engineering Chulalongkorn University Bangkok Thailand Department of Computer Science and Communications Engineering Waseda University Tokyo Japan

ISBN: (数字)9798350303582

ISBN: (纸本)9798350303599

All 3GPP-compliant commercial 5G New Radio (NR)-capable UEs on the market are equipped with $4\times 4$ MIMO support for Mid-Band frequencies $( > 1.7\text{GHz})$ and above, enabling up to rank 4 MIMO transmission. This doubles the theoretical throughput compared to rank 2 MIMO and also improves reception performance. However, 4x4 MIMO support on low-band frequencies $(< 1\text{GHz})$ is absent in every commercial UEs, with the exception of the Xperia 1 flagship smartphones manufactured by Sony Mobile and the Xiaomi 14 Pro as of January 2024. The reason most manufacturers omit $4\times 4$ MIMO support for low-band frequencies is likely due to design challenges or relatively small performance gains in real-world usage due to the lack of 4T4R deployment on low-band by mobile network operators around the world. In Thailand, 4T4R deployment on the b28/n28 (APT) band is common on True-H and dtac networks, enabling 4x4 MIMO transmission on supported UEs. In this paper, the real-world 4x4 MIMO performance on the b28/n28 (APT) band will be investigated by evaluating the reliability test under different signal conditions and the maximum throughput test by evaluating the performance under optimal conditions, using the Sony Xperia 1 III and the Sony Xperia 1 IV smartphone. Devices from other manufacturers are also used in the experiment to investigate the performance with 2Rx antennas for comparison. Through firmware modifications, the Sony Xperia 1 III and IV can be configured to use only 2 Rx ports on low-band, enabling the collection of comparative 2 Rx performance data as a reference.

关键词： Performance evaluation Decision making Performance gain Reliability theory Throughput New Radio MIMO communication

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