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4th International Conference on Electrical Machines and drives, ICEMd 2024

作者： Joo, Behzad Bahrami dehghani, Mojtaba Nikfar, Mohsen MAPNA Generator Engineering and Manufacturing Co. (PARS) R&D Department Karaj Iran MAPNA Generator Engineering and Manufacturing Co. (PARS) Mechanical Design Group R&D Department Karaj Iran

ISBN: (纸本)9798331507510

This paper provides a comprehensive multiphysics analysis of the stator end winding support system for a medium power air-cooled turbo-generator. The main objective is to design the most accurate and reliable components in the final winding system that will be subjected to the highest possible stresses. For this reason, the implementation of FEM methodology and simulations in a multiphysics environment are used in the analysis of the impact of temperature gradients, electromagnetic forces, and mechanical vibrations. A variety of design criteria are employed to investigate the durability and functionality of the end winding system in diverse force environments. The findings of this research provide the essential data to extend the operational lifespan of the air-cooled turbo-generator and reinforce the safety margin of its critical components. © 2024 IEEE.

关键词： electromagnetic force field end winding support system Multiphysics analysis thermal load turbo-generator vibrations

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research on Intelligent Circumvent Scheme for 5G Sub-Beam Interference

Research on Intelligent Circumvent Scheme for 5G Sub-Beam In...

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2023 IEEE Symposium on Electromagnetic Compatibility and Signal/Power Integrity, EMC+SIPI 2023

作者： Zhu, Wentao Xu, Jinpeng Wu, Yuan Zhang, Chenxi Tan, rumeng China Mobile Group Design Institute Co Ltd R&d Center of Network Design and Optimization Beijing China China Mobile Group Design Institute Co Ltd Zhejiang Branch Hangzhou China China Telecom Research Institute Green & Low-Carbon Tech. R&d Department Guangzhou China

ISBN: (纸本)9798350309768

The beam polling strategy is introduced in Nr system by 3GPP to achieve more flexible coverage, however, it may lead to SSB interference in same frequency and time slot. To solve this problem, this paper analyzes two interference optimization schemes, sub-beam separated by mod3 and sub-beam random configure scheme, and proposes an interference circumvent scheme based on user distribution and dynamic beam configuration(UddBC). The proposed scheme uses multiple ways to reducing the overlapping coverage probability and improving the accurate coverage rate. To evaluate beam level optimization scheme, a kind of sub-beam level simulation solution is also proposed. Simulation and actual network verification results show that the proposed UddBC optimization scheme has certain advantages in terms of interference reduction and coverage improvement, and it is feasible and practical to promote the actual network performance. © 2023 IEEE.

关键词： 5G mobile communication systems

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NTT WEST’s Efforts in Providing APN Services

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NTT Technical review 2023年第9期21卷 26-31页

作者： Ota, Atsushi Nishiki, Masayuki Kimura, Hideaki Matsumoto, Kenji Tanabe, Katsuhiro Yonesaka, Shinji Setsunan University Osaka Japan Osaka University Japan R&D Center NTT WEST Corporation University of Tsukuba Ibaraki Japan Value Design Department NTT WEST Corporation Kyushu Institute of Technology Fukuoka Japan Value Design Department NTT WEST Corporation Shimane University Japan

With the declared purpose of "‘Connecting’ then ‘opening’ the door to the new world," NTT WEST seeks to contribute to the further development of communities and address a variety of challenges posed by changes in society by refining its technologies and wisdom and co-create new value. The entire NTT Group has been working to actualize the Innovative Optical and Wireless Network (IOWN) concept. In this article, we introduce NTT WEST’s efforts toward this end, especially related to the development of the All-Photonics Network (APN) in creating use cases and providing the APN commercial service in the form of IOWN1.0. © 2023 Nippon Telegraph and Telephone Corp.. All rights reserved.

关键词： remote control

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Comparison of Fractional and Integral Slot Winding Configurations on the Position Error for A Conventional Wound-rotor resolver

Comparison of Fractional and Integral Slot Winding Configura...

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2023 IEEE International Magnetic Conference - Short Papers, INTErMAG Short Papers 2023

作者： Onsal, Murat demir, Yucel Aydin, Metin Mds Motor Design Ltd. R&d Department Kocaeli41275 Turkey Kocaeli University Department of Mechatronics Engineering Kocaeli41380 Turkey

ISBN: (纸本)9798350338362

resolvers are feedback elements used in the control of electric motors for many years. They are highly preferred in many parts of industry. One of the most important reasons for using resolvers is that they are more reliable than other electronic feedback elements especially in harsh environments requiring shock resistance or high vibration. At the same time, its ability to work at high temperatures makes them preferred in demanding and harsh applications. Both integral and fractional slot windings are used in resolvers. However, no detailed comparison is given for the two types of resolvers in various features including position errors. This study focuses on the design and comparison of a conventional wound-rotor resolver with both winding configurations focusing on position errors. © 2023 IEEE.

关键词： Feedback

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Opinion Mining Using LSTM Networks Ensemble for Multi-class Sentiment Analysis in E-commerce 3

Opinion Mining Using LSTM Networks Ensemble for Multi-class ...

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3rd International Informatics and software Engineering Conference, IISEC 2022

作者： Alnahas, dima Asik, Furkan Kanturvardar, Alper Ulkgun, Abdullah Mert Infina Software Inc. R&d Department Istanbul Turkey Oneriver Software Inc. Development Department Istanbul Turkey

ISBN: (数字)9781665459952

ISBN: (纸本)9781665459952

As technology conquers more sectors and industries, the burden of protruding falls heavy on stakeholders, especially with the rising popularity of blogging and social media. The outpour of views and opinions, accompanied by the recent trend of influencers and content creators, inspired various advances in natural language processing. These advances aim to harvest reviews and experiences of consumers to start, improve, and expand businesses. The recent surge in textual data has also inspired many large-scale data analyses powered by artificial intelligence. In this study, we investigate some of these analyses and their applications. We also implement state-of-the-art LSTM models to explore different attributes of text. Based on the relevancy of these attributes, we suggest an ensemble model of LSTM neural networks that utilize word-level and character-level tokenizers to convey helpful knowledge in sentiment or opinion classification. For training, validating, and testing the presented model, we accumulated a large dataset of 602,202 product reviews from Turkish e-commerce websites. The study establishes an 84.7% accuracy of the proposed ensemble model when applied to raw data. © 2022 IEEE.

关键词： Sentiment analysis

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Back-EMF Induced Grid Harmonics in WECS with Permanent Magnet Synchronous Generators

Back-EMF Induced Grid Harmonics in WECS with Permanent Magne...

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2022 International Conference on Electrical Machines, ICEM 2022

作者： Tsoumas, Ioannis P. Department of Control Software MV Drives R&D ABB Switzerland Ltd. Switzerland

ISBN: (数字)9781665414326

ISBN: (纸本)9781665414326

The impact of the back electromotive force (BEMF) of a permanent magnet (PM) synchronous generator on the grid harmonics of a medium voltage (MV) wind energy conversion system (WECS) is investigated analytically. It is shown that the BEMF harmonics cause a ripple in the dc-link voltage. This ripple is transferred to the grid, producing voltage and current harmonics, which typically appear at non-integer multiples of the grid fundamental frequency. © 2022 IEEE.

关键词： Permanent magnets

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A Two-Stage CMOS Amplifier Performing High degree of Stability for All Capacitive Load

A Two-Stage CMOS Amplifier Performing High Degree of Stabili...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Alessandro Bertolini Germano Nicollini AMS R&D Design Department STMicroelectronics Milan Italy

ISBN: (数字)9798350330991

ISBN: (纸本)9798350331004

This paper presents the conception, design and realization of a fully-differential two-stage CMOS amplifier that is unconditionally stable for any value of the capacitive load. This is simply achieved by sending a scaled replica of the output stage current to the amplifier virtual ground such as to create a Left Half-Plane (LHP) zero in the loop-gain that either cancels or tracks the output pole in all process, voltage, and temperature (PVT) conditions. Consequently, from a stability point of view the amplifier behavior resembles that of a single-pole OTA. Starting from an existing two-stage gain-programmable amplifier, designed in a 0.18μm Bipolar-CMOS-dMOS (BCd) process, that was able to drive only 10pF without incurring into stability issues, a simple circuit has been added to extend the stability to any capacitive load value. Measurements, given with loads ranging from 0pF to 100nF, show high degree of stability in any load conditions. In the used 0.18μm BCd technology, silicon area and current consumption of the extra circuit are only 0.0004mm 2 and 2μA, respectively, with a 5 V power supply.

关键词： Tracking loops Power supplies Stability analysis Silicon Circuit stability Land surface temperature Thermal stability

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Automated Breast Cancer diagnosis Using deep Learning CNN Models 2

Automated Breast Cancer Diagnosis Using Deep Learning CNN Mo...

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2nd IEEE International Conference on Emerging research in Computational Science, ICErCS 2024

作者： Saravanan, G. Jeevanantham Prabin, S.M. Parthasarathy, r. VelTech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Department of Computer Science and Engineering Chennai India Vellore Institute of Technology School of Computer Science and Engineering Vellore India VelTech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Department of Computer Science and Design Chennai India

ISBN: (纸本)9798331534950

The study introduces a deep learning model, CCNN, developed to identify and classify eight types of breast cancer: normal adenosis, normal fibroadenoma, normal phyllodes tumor, normal tubular adenoma, malignant ductal carcinoma, malignant lobular carcinoma, malignant mucinous carcinoma, and malignant papillary carcinoma. This model was integrated with five pre-existing models - Xception, InceptionV3, VGG19, MobileNetV2, and resNet101 - all trained for image classification using the ImageNet database, to categorize breast cancer MrI images. The dataset, sourced from Kaggle's repository, was further augmented using the Generative Adversarial Network (GAN) technique. For 30 experiments carried out to evaluate the introduced model and the transfer learning of five and proposed CCNN models, the F1-score values accuracy yielded were respectively: 98.04%, 96.13%, 98.54%, 97.11%, 94.20% and 98.98%. This study emphasizes the importance of improving the accuracy of early breast cancer detection to enhance the survival rates of patients. © 2024 IEEE.

关键词： Generative adversarial networks

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Effect of radial and Axial Magnet Segmentation on PM Eddy Current Losses for Brushless Synchronous Motors

Effect of Radial and Axial Magnet Segmentation on PM Eddy Cu...

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2023 IEEE International Magnetic Conference - Short Papers, INTErMAG Short Papers 2023

作者： demir, Y. Onsal, M. Aydin, M. Mds Motor Design Ltd. R&d Department Kocaeli41275 Turkey Kocaeli University Department of Mechatronics Engr. Kocaeli41380 Turkey

ISBN: (纸本)9798350338362

One of the major issues in the design of high-speed permanent magnet (PM) motors is the magnet losses. Magnet eddy-current losses are one of the significant loss components and it is related to the motor frequency directly. In this paper, a detailed analysis of a high-speed brushless permanent magnet synchronous motor is performed. Magnet losses as well as other loss component such as iron and copper AC and dC losses are also investigated comprehensively for the reference motor selected. © 2023 IEEE.

关键词： Synchronous motors

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Employee Turnover Prediction on Synthetic and real datasets

Employee Turnover Prediction on Synthetic and Real Datasets

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International Conference on Computer Science and Engineering (UBMK)

作者： Azhar Murzaeva Volkan Illik Kadir Yunus Koc R&D Department IBSS Technology and Software Istanbul Türkiye

ISBN: (数字)9798350365887

ISBN: (纸本)9798350365894

When an employee leaves the job, it leads to issues such as financial losses, loss of productivity, re-employment costs, the adaptation period for the new employee, and loss of time. Many studies are dedicated to predicting employee turnover to avoid these negative impacts. In this study, we train classic machine learning models to predict employee turnover. We train Logistic regression, decision Tree, XGBoost, random Forest, Gradient Boosting, Ada Boosting, and Support Vector Machine methods. We use two publicly available datasets: IBM's synthetic data and an anonymous US company's real data. We compare the outcomes of models trained by collected real datasets and models trained by synthetically generated datasets. For the IBM dataset, with 92% accuracy and 0.92 f1-score, random Forest demonstrates superior results. Additionally, random Forest out- performed other models with 89% accuracy and 0.89 f1-score for the US company's dataset. All applied classification models demonstrated better results on the synthetic data.

关键词： Support vector machines Productivity Logistic regression Accuracy Computational modeling Predictive models Boosting decision trees random forests Synthetic data

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