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2023 IEEE East-West Design and Test Symposium, EWDTS 2023

作者： Hacimahmud, Abdullayev Vugar Khakhanova, Hanna Litvinova, Eugenia Azerbaijan State Oil and Industry University Computer Engineering Department Baku Azerbaijan Kharkov National University of Radioelectronics Design Automation Department Kharkov Ukraine

ISBN: (纸本)9798350314847

The paper is focused on identification of patterns and objects using keywords and data. The following problems are considered: searching for object identifiers based on a truth table, where keywords are formed in columns that determine the similarity and difference of objects in the flow;defining the equivalence classes of keywords based on the analysis of truth table columns, built on a digitized data flow;generating a business process model in the form of a logical vector based on a binary matrix of patterns;using a business process model to verify the actions of operators performing regulatory functionality at the enterprise. Transfer of the von Neumann architecture into memory and replacing the powerful read-write processor with logical vector transactions to reduce energy and time costs when processing big data is proposed. Smart data structures and simple algorithms based on read-write transactions for in-memory big data as address computing are being developed. © 2023 IEEE.

关键词： Vectors

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Fuzzy Set-Membership Filtering for Discrete-Time Nonlinear Systems

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IEEE/CAA Journal of Automatica Sinica 2022年第6期9卷 1026-1036页

作者： Jingyang Mao Xiangyu Meng Derui Ding Department of Control Science and Engineering University of Shanghai for Science and TechnologyShanghai 200093China Division of Electrical and Computer Engineering Louisiana State UniversityBaton RougeLA70803 USA IEEE School of Science Computing and Engineering TechnologiesSwinburne University of TechnologyMelbourneVIC 3122Australia

In this article,the problem of state estimation is addressed for discrete-time nonlinear systems subject to additive unknown-but-bounded noises by using fuzzy set-membership ***,an improved T-S fuzzy model is introduced to achieve highly accurate approximation via an affine model under each fuzzy ***,compared to traditional prediction-based ones,two types of fuzzy set-membership filters are proposed to effectively improve filtering performance,where the structure of both filters consists of two parts:prediction and *** the locally Lipschitz continuous condition of membership functions,unknown membership values in the estimation error system can be treated as multiplicative noises with respect to the estimation ***-time recursive algorithms are given to find the minimal ellipsoid containing the true ***,the proposed optimization approaches are validated via numerical simulations of a one-dimensional and a three-dimensional discrete-time nonlinear systems.

关键词： Affine model membership functions set-membership filtering stability Takagi-Sugeno fuzzy modeling

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Electromagnetic Characteristic Analysis and Design of a Novel Intensifying-Flux Hybrid Excited Permanent Magnet Machine 6

Electromagnetic Characteristic Analysis and Design of a Nove...

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6th IEEE Student Conference on Electric Machines and Systems, SCEMS 2023

作者： Lu, Ruipan Xu, Pengchong Liu, Zhangqi Liu, Xiping Jiangxi University of Science and Technology School of Electrical Engineering and Automation Jiangxi China The State University of New Jersey Department of Electrical and Computer Engineering Rutgers PiscatawayNJ United States

ISBN: (纸本)9798350329346

In this paper, a novel intensifying-flux hybrid excitation machine (IF-HEPMSM) is proposed in conjunction with the latest development requirements of electric vehicles. Therefore, the proposed IF-HEPMSM design can simultaneously obtain the synergy of strong overload capability and wide speed regulation range. Firstly, the topology, characteristics and working principle of IF-HEPMSM are introduced to reveal the improvement of the machine performance, based on which, the tooth width and yoke thickness of the machine stator are optimized to ensure the output torque of the machine while effectively improving the wide flux regulation range. The electromagnetic characteristics of the IF-HEPMSM are investigated and compared with the IF-PMSM, conventional permanent magnet machine to highlight the superiority of the IF-HEPMSM. © 2023 IEEE.

关键词： Permanent magnets

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Optimizing Machine Learning Algorithms to Enhance Blood Donation for Liver Patients: A Case Study 7

Optimizing Machine Learning Algorithms to Enhance Blood Dona...

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7th IET Smart Cities Symposium, SCS 2023

作者： Mijwil, Maad M. El-Kenawy, El-Sayed M. Bala, Indu Aljanabi, Mohammad Abotaleb, Mostafa Ibrahim, Abdelhameed Computer Techniques Engineering Department Baghdad College of Economic Sciences University Baghdad Iraq Department of Communications and Electronics Delta Higher Institute of Engineering and Technology Egypt School of Electrical and Electronics Engineering Lovely Professional University Punjab India Department of Computer Aliraqia University Baghdad Iraq Department of System Programming South Ural State University Chelyabinsk Russia Computer Engineering and Control Systems Department Faculty of Engineering Mansoura University Mansoura Egypt

ISBN: (纸本)9781839539831

Blood is vital for transporting oxygen, nutrients, and hormones to all body parts as it circulates through arteries and veins. It removes carbon dioxide, regulates body temperature, and maintains the body's immune system. Individuals constantly need blood and its derivatives to save their lives and improve their health through medical treatments and surgical operations. Liver diseases are one of the diseases that affects the health of individuals and requires blood to continue living. These diseases cause significant damage to people's health, and early diagnosis plays a crucial role in saving lives. In this paper, machine learning algorithms (support vector machine and random forest) are involved in detecting liver diseases and determining whether donors are suitable to donate blood from blood values. This paper is applied research that found that the performance measures of the random forest algorithm achieved excellent performance in identifying suitable people to donate blood. © The Institution of engineering & Technology 2023.

关键词： Support vector machines

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Optical Data Center Implementation within Data Center Networks Context Based on Mininet 2

Optical Data Center Implementation within Data Center Networ...

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2nd International engineering Conference on Electrical, Energy, and Artificial Intelligence, EICEEAI 2023

作者： Abdulmahdi, Esraa Ali Ali, Adnan Hussein Ibrahim, Raed Khalid Al-Askery, Ali Alhamdane, Hayder Jasim Mahmood, Amal Ibrahim Electrical Engineering College Middle Technical University Student at Dept. of Computer Engineering Techniques Baghdad Iraq Institute of Technology Middle Technical University Electrical Techniques Department Baghdad Iraq Al-Farahidi University Department of Medical Instruments Engineering Techniques Baghdad Iraq Electrical Engineering College Middle Technical University Department of Control and Automation Technical Engineering Baghdad Iraq College of Applied Arts Middle Technical University Baghdad Iraq Electrical Engineering College Middle Technical University Dept. of Computer Engineering Techniques Baghdad Iraq

ISBN: (纸本)9798350373363

The technology of reconfigurable optical networks (RONs) is growing to be a promising solution to effectively cater to the rapidly increasing traffic generated by the digital society. Optical technology emerges as a viable alternative because to its capacity to offer a substantial bandwidth, little latency, and enhanced overall performance. Nevertheless, it is imperative to effectively manage the physical resources comprising a data center. This study provides an experimental demonstration of the RONs, which is enhanced by a control plane. The implementation relies on the monitoring of real-time network statistics. This enables the execution of various activities, including as network slice provisioning and reconfiguration, assignment of packet priority classes, and dynamic operations. These actions are performed to ensure the attainment of the desired Quality of Service level. The experimental results show the successfully implementation of RONs using Mininet Emulator and sFlow traffic monitoring technology. The results approve that optical datacenter has minimum delay with low OSNR even with long distance and fast switching time. © 2023 IEEE.

关键词： Optical switches

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ComESN: Compressive Echo State Network for Multi-task Time-series Prediction

ComESN: Compressive Echo State Network for Multi-task Time-s...

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2023 IEEE International Symposium on Product Compliance engineering - Asia 2023, ISPCE-AS 2023

作者： Jiang, Ruiqi Wu, Zhou Zhang, Yongfeng Ye, Xianming Chongqing University School of Automation Chongqing China University of Jinan School of Electrical Engineering Jinan China University of Pretoria Department of Electrical Electronic and Computer Engineering Pretoria South Africa

ISBN: (纸本)9798350361209

Time-series prediction has been widely studied for single-variable applications, but shows poor performance for multi-variable applications due to the complex correlation. Multivariable prediction is often transferred into many single-variable tasks, and results into high computational cost. The prediction performance decreases exponentially as the dimensions increase. The compression of multiple prediction tasks is necessary to provide a trade-off between computational cost and prediction accuracy. For this purpose, compressive echo state neural network (ComESN) is proposed, which consists of a compressive module and a multi-task echo state network (MT-ESN). In this study, the locally linear embedding algorithm is adopted as compression method to reduce the number of prediction tasks for improving the computational efficiency. A novel MT-ESN is developed to further improve the performance of ESN for multi-task prediction. Due to highly efficient compression and unveiling correlation of multiple tasks, ComESN could cut down the computational cost while providing a promising prediction accuracy. Experiments on three real-world datasets illustrate that the proposed ComESN could compete with state-of-the-art methods with regard to computational cost and accuracy. © 2023 IEEE.

关键词： Forecasting

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Developing Lexicons for Enhanced Sentiment Analysis in Software engineering:An Innovative Multilingual Approach for Social Media Reviews

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computers, Materials & Continua 2024年第5期79卷 2771-2793页

作者： Zohaib Ahmad Khan Yuanqing Xia Ahmed Khan Muhammad Sadiq Mahmood Alam Fuad AAwwad Emad A.A.Ismail School of Automation Beijing Institute of TechnologyBeijing100081China Department of Computer Science and Technology University of Science and Technology BannuKPKBannu28100Pakistan School of Computer Science and Engineering Central South UniversityChangsha410083China Department of Quantitative Analysis College of Business AdministrationKing Saud UniversityP.O.Box 71115Riyadh11587Saudi Arabia

Sentiment analysis is becoming increasingly important in today’s digital age, with social media being a significantsource of user-generated content. The development of sentiment lexicons that can support languages other thanEnglish is a challenging task, especially for analyzing sentiment analysis in social media reviews. Most existingsentiment analysis systems focus on English, leaving a significant research gap in other languages due to limitedresources and tools. This research aims to address this gap by building a sentiment lexicon for local languages,which is then used with a machine learning algorithm for efficient sentiment analysis. In the first step, a lexiconis developed that includes five languages: Urdu, Roman Urdu, Pashto, Roman Pashto, and English. The sentimentscores from SentiWordNet are associated with each word in the lexicon to produce an effective sentiment score. Inthe second step, a naive Bayesian algorithm is applied to the developed lexicon for efficient sentiment analysis ofRoman Pashto. Both the sentiment lexicon and sentiment analysis steps were evaluated using information retrievalmetrics, with an accuracy score of 0.89 for the sentiment lexicon and 0.83 for the sentiment analysis. The resultsshowcase the potential for improving software engineering tasks related to user feedback analysis and productdevelopment.

关键词： Emotional assessment regional dialects SentiWordNet naive bayesian technique lexicons software engineering user feedback

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Low-Complexity Hardware Architecture of an H.264-Based Video Encoder for FPGAs

Low-Complexity Hardware Architecture of an H.264-Based Video...

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2023 Congress in computer Science, computer engineering, and Applied Computing, CSCE 2023

作者： Tayyebi, Azam Hanna, Darrin Jones, Bryant Oakland University Department of Electrical and Computer Engineering Rochester United States Intrepid Control Systems Troy United States

ISBN: (纸本)9798350327595

In this paper, we present an architecture for a scalable, efficient, realtime intra H.264 video encoder implemented on an FPGA. Our architecture was designed to achieve a through-put of up to 2.3 Gbit/s using a parallel and pipelined architecture described in VHDL. All modules in the architecture are optimized to utilize minimum hardware area. A parameterized encoding system and flexible architecture is proposed to provide the ability to achieve different compression ratios ranging from 1.4 to 2 with varying size and power requirements. As a baseline, with no compression, the encoder required hardware resources equivalent to 18K logic gates. This work experimented with compression ratios up to 2 which required an equivalent of 31K logic gates. The encoder performs at frequency ranges of 159-183 MHz. © 2023 IEEE.

关键词： CAVLC H.264 integer-transform intra-prediction quantization

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Thermal Cycling Effect in a Traction Inverter for Star-connected and Open-end Winding Permanent Magnet Synchronous Motors with Nearly Constant Losses Current Regulation 29

Thermal Cycling Effect in a Traction Inverter for Star-conne...

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29th International Workshop on Electric Drives: Advances in Power Electronics for Electric Drives, IWED 2022

作者： Ali, Yousef Kulik, Egor Anuchin, Alecksey Do, Duy Hiep Moscow Power Engineering Institute Department of Electric Drives Moscow Russia Thuyloi University Department of Automation and Control Engineering Hanoi Viet Nam

ISBN: (纸本)9781665467865

One of the causes of faults in the electric drive is the failure of the power semiconductor module. Semiconductors degrade under the effect of thermal cycles. Thermal aging of materials occurs due to temperature difference between the elements of the power module as well as difference of their thermal expansion coefficients, which eventually leads to the destruction of the power module construction. The influence of thermal cycles is most expressed in traction drives, which are characterized by modes with low speeds and variation of commanded torque in time. This article considers a BMW i3 electric drive model and an open-end winding drive with Nearly Constant Losses Current Regulation for evaluating thermal cycles in a power module. The new European driving cycle was used as a test cycle for both drives. It is shown how the proposed algorithm makes it possible to reduce the thermocycling effects in semiconductor devices. © 2022 IEEE.

关键词： Thermal cycling

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Stochastic High-order Fully-actuated Systems: Model, Equivalence and Stabilization

Stochastic High-order Fully-actuated Systems: Model, Equival...

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2022 Chinese automation Congress, CAC 2022

作者： Liu, Xueqing Chen, Maoyin Sheng, Li Zhou, Donghua Tsinghua University Department of Automation Beijing China College of Control Science and Engineering Qingdao China

ISBN: (纸本)9781665465335

This paper develops a stochastic high-order fully-actuated systems model that complements the existing highorder fully-actuated system methodology. Different from the deterministic model, stochastic signals can be considered in the proposed version. By employing a high-order operator, the equivalent control and stabilization control laws are obtained to guarantee the global asymptotical stability in probability of the closed-loop system. Finally, the simulation results show the effectiveness of the proposed control schemes. © 2022 IEEE.

关键词： Stochastic systems

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