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9th International Conference on Computer Science and Engineering, UBMK 2024

作者： Murzaeva, Azhar Illik, Volkan Koc, Kadir Yunus Ibss Technology and Software R&d Department Istanbul Turkey

ISBN: (纸本)9798350365887

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. © 2024 IEEE.

关键词： Support vector machines

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research on the development and application of high-precision 5G timing Terminal

Research on the development and application of high-precisio...

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2024 International Conference on Cyber-Physical Social Intelligence, ICCSI 2024

作者： Wang, LongYang Liu, ZhenYu Wang, WenSa Luo, Xin Wang, Tao Xuchang Xuji Software Technology Co. Ltd Ict R&d Department XuChang China

ISBN: (纸本)9798350376739

Since the official issuance of 5G licenses in China, 5G networks have begun to be deployed and promoted in an orderly way. At present, the domestic 5G network has a foundation for widespread application. Power grid is an industry closely related to information and communication technology, 5G is bound to bring changes to the existing power network. Especially in the distribution grid, a large number of sensors and protection devices are scattered in the grid, so it is necessary to develop a 5G communication terminal with low cost, easy to use and high precision timing ability. By analyzing the time synchronization architecture of 5G network, this paper introduces a 5G communication timing terminal that can use 5G network to output IrIG-B (Inter-range Instrumentation Group-B format) code. The paper introduces its implementation principle and typical application scenarios in detail, which provides reference for the combination of power grid and 5G technology. © 2024 IEEE.

关键词： 5G mobile communication systems

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Case retrieval Strategy of Turning Process Based on Grey relational Analysis

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Computer Modeling in Engineering & Sciences 2024年第2期138卷 1663-1678页

作者： Jianfeng Zhao Yunliang Huo Ji Xiong Junbo Liu Zhixing Guo Qingxian Li School of Mechanical Engineering Sichuan UniversityChengdu610065China Sichuan Engineering Technology Research Center of Intelligent Design and Service for Cutting Tools Yibin R&D Park of Sichuan UniversityYibin644000China Department of R&D Pengxi Heye High-Tech Co.Ltd.Suining629000China

To solve the problem of long response time when users obtain suitable cutting parameters through the Internet based platform,a case-based reasoning framework is ***,a Hamming distance and Euclidean distance combined method is designed to measure the similarity of case features which have both numeric and category *** addition,AHP(Analytic Hierarchy Process)and entropy weight method are integrated to provide features weight,where both user preferences and comprehensive impact of the index have been *** relation analysis is used to obtain the similarity of a new problem and alternative ***,a platform is also developed on Visual Studio 2015,and a case study is demonstrated to verify the practicality and efficiency of the proposed *** method can obtain cutting parameters which is suitable without iterative *** with the traditional PSO(Particle swarm optimization algorithm)and GA(Genetic algorithm),it can obtain faster response *** method can provide ideas for selecting processing parameters in industrial *** guaranteeing the characteristic information is similar,this approach can select processing parameters which is the most appropriate for the production process and a lot of time can be saved.

关键词： CBr turning process grey relation AHP entropy weight

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ENVIrONMENTALLY FrIENdLY ACOUSTIC PANEL design FrOM CUrTAIN WASTE

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Tekstil ve Muhendis 2023年第131期30卷 253-259页

作者： AÇIKGÖZ, Gamze AYdIN, Onur ALTUĞ, Alp Yaman SEZGİN, Hande ENİŞ, İpek Yalçın Oba Perdesan Perde Sanayi A.Ş R&D Department Istanbul Turkey Inovista Activated Carbon and Advanced Mat. Tech. Ltd R&D Department Ankara Turkey ITU Faculty of Textile Technologies and Design Textile Engineering Department Istanbul Turkey

Using leftover industrial curtain fabrics, this study aims to develop environmentally friendly acoustic panels. In this context, two forms of curtain fabric waste, blackout and dimout, which are segregated as waste from post-production process within Oba Perdesan, are transformed into fiber utilizing mini shredder. The hot press method is used to produce composite samples made of 100% blackout and 50% blackout/ 50% dimout fabric waste in two different thicknesses (0.5 and 1 cm). The thickness, density, basis weight, FTIr, sound absorption coefficient, and sound transmission loss of the manufactured panels are measured. The FTIr analysis reveals the distinctive peaks of the raw materials of the structures, while the acoustic test results show that the sound absorption coefficient and sound transmission loss increase along with the thickness and basis weight of the structures, respectively. While the 1 cm blackout/dimout blend sample has a superior sound absorption coefficient for 2000 Hz with 0.81, the 1 cm 100% blackout sample performs highest with 10dB sound transmission loss. The produced panels aid in solid waste management while consuming minimal raw materials, and an essential step is taken toward the development of sustainable, practical, and decorative panels. © (2023) All rights reserved.

关键词： Sound insulating materials

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Stator Structural Analysis of an In-Wheel Permanent Magnet Electric Motor for Sports Utility Vehicle (SUV) via Multi-Physics Procedure 3

Stator Structural Analysis of an In-Wheel Permanent Magnet E...

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3rd International Conference on Electrical Machines and drives, ICEMd 2023

作者： rostami, Saeed Nikfar, Mohsen MAPNA Pars Co. Stationary Equipment Design Specialist R&D Department Karaj Iran MAPNA Pars Co. Stationary Equipment Design R&D Department Karaj Iran

ISBN: (纸本)9798350393743

In this paper structural (strength) analysis of an in-wheel electric motor is investigated using multi-physics analysis. during analysis, stresses are evaluated for each component in any load step, and also safety factors are extracted, and critical stress resultants are compared with admissible yield strength for each body. In such electric motors, since the output torque significantly has not high value, and compactness is an important factor in design, the common method for binding up the core to the frame is the shrinkage process. Since the accuracy of machining tools usually has some uncertainties, the admissible shrinkage value is expressed as a range. In this work also mentioned range is introduced, and the shrinkage temperature is calculated. Also, the contact status (between the frame, and the core) is checked to remain as a stick contact (i.e., the core does not slide or roll relative to the frame). In this study a finite element model is established. Thermal contour and electromagnetic loads are calculated by the FE software in CFX, steady state thermal, and Maxwell 3d modules in the ANSYS workbench. Then these contours are mapped to structural analysis in FE software. Mechanical loads are computed in critical (for example turning around a square or a spiral road, while the automobile is under overturning threshold) states according to particle dynamics equations, and are combined with magnetic and thermal loads in various load steps. Then the integrity and safety of the structure is investigated in each load step. © 2023 IEEE.

关键词： Finite element method

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Study on mountain torrent warning method based on refined rainfall forecast 2

Study on mountain torrent warning method based on refined ra...

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2nd International Conference on digital Society and Intelligent Systems, dSInS 2022

作者： Liu, Wei Chen, Shilei R&D Department Changjiang Schinta Software Technology Co. LTD. Wuhan China

ISBN: (纸本)9781510663244

In view of the characteristics of mountain torrent, such as sudden, frequent, destructive, and difficult prevention and control, an advanced method of grid accurate early warning based on refined rainfall forecast data and measured rainfall data, multi rainfall forecast product optimization, combined with the survey and evaluation results of mountain torrents, can accurately predict the risk of mountain torrents 1 to 3 hours in advance, and effectively improve the timeliness and accuracy of mountain torrents early warning. © 2023 SPIE.

关键词： Weather forecasting

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dispersion spectrum and transient responses of guided waves in graphene platelet reinforced piezoelectric polymer composite plates

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AErOSPACE SCIENCE ANd TECHNOLOGY 2025年 163卷

作者： Hua, Fenfei Sun, Zhenzhong Huang, Qingyang Fu, Xinrong Cui, Yueyue Huang, Yicang Zhou, Xiaoqiang Dongguan Univ Technol Sch Mech Engn Dongguan 523808 Peoples R China Huazhong Univ Sci & Technol Sch Aerosp Engn Wuhan 430074 Peoples R China Shenzhen Poisson Software Technol Co Ltd Shenzhen 518129 Peoples R China Wuhan Second Ship Design & Res Inst R&D Ctr Wuhan 430205 Peoples R China

This work focuses on the wave propagation in graphene platelets (GPLs) reinforced piezoelectric polymer composite plates. The GPL volume fractions in the multilayered structure vary step-wisely to emulate a functionally graded profile. The governing equations for the piezoelectric composite plate are obtained using the reissner-Mindlin theory in conjunction with the Hamilton's principle. A polynomial equation describing the dispersion spectrum relations is formulated using the closed-form solutions. The structural symmetry enables the wave modes decoupling into symmetric and antisymmetric parts. The piezoelectric plate spectral element with four degrees of freedom per node including the out-of-plane motions and electric potential is developed. The present spectral element model is verified by comparing with the reported results. The dependences of distribution pattern, weight fraction, geometric factor, and piezoelectricity of GPL on the dispersion characteristics are demonstrated. Furthermore, the phase evolution, amplitude attenuation, time-of-flight variation, and waveboundary interaction are revealed through the transient responses. These findings supply an instruction for the design and wave modulation of smart piezoelectric composites.

关键词： Wave propagation Graphene reinforcement Piezoelectric composite Spectral element method Transient response

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Proposal and Implementation of a Hand Gesture Control Method for Manipulation of Indoor Wheeled Mobile robot

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Journal of Institute of Control, robotics and Systems 2025年第1期31卷 44-53页

作者： Yun, Seungho Park, Haeun Park, Suyoung Lee, Seongjae Lee, Hui Sung Department of Design Ulsan National Institute of Science and Technology Korea Republic of Department of Creative Design Engineering Ulsan National Institute of Science and Technology Korea Republic of Department of PGM Core Tech R&D Lab LIG Nex1 Korea Republic of Department of Electrical Engineering Ulsan National Institute of Science and Technology Korea Republic of

Mobile robots are widely used and provide convenience to people in places like restaurants and airports. However, there are situations in which their limited autonomy necessitates additional user interaction. While existing studies suggest using hand gestures to manipulate mobile robots, the practical application of such an approach is limited, as they cannot fully address the needs of the user needs and can just primarily be operated in teleoperation environments. In this work, a novel hand gesture operation method has been proposed that can operate a wheeled mobile robot through a manipulation method. In addition to implementing the suggested gesture recognition technique, representative hand gestures were selected by conducting experiments to identify natural gestures based on context for improving usability. A combination of the YOLOv8-based object recognition and pose recognition models was employed to achieve the hand gesture recognition function. Finally, a wheeled mobile robot was also designed to evaluate the hand gesture manipulation system for performing appropriate movements according to the gesture. The overall system was evaluated through experiments and interviews with participants about the workload and usability of the gesture manipulation system. © ICrOS 2025.

关键词： Embedded systems

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A real-Time Carboy Tracking and Counting System Based on YOLOv8 and ByteTrack

A Real-Time Carboy Tracking and Counting System Based on YOL...

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2024 International Conference on Artificial Intelligence, Metaverse and Cybersecurity, ICAMAC 2024

作者： Akar, Ferhat Berber, Sezer Koca, Oğuzhan Bayılmış, Cüneyt R&D AYGAZ A.Ş. İstanbul Turkey Software Department Rise Technology Mersin Turkey Deparment of Computer Engineering Sakarya University Sakarya Turkey

ISBN: (纸本)9798350353488

In industrial processes, the accurate detection, counting, and classification of objects are crucial for the efficiency of production lines. However, when these processes are performed manually, human errors and time loss can occur. In this study, a YOLOv8-based system was developed to separate carboys based on their expiration dates, count solid carboys, and detect carboys containing foreign matter at the Pürsu Water Factory. The system, which processes real-time video streams, integrates YOLOv8 for object detection, tracking, and counting. Additionally, the performances of the deepSOrT and ByteTrack algorithms were compared for object tracking. The results show that ByteTrack performed faster and more stably than deepSOrT. The YOLOv8-based model achieved 98% accuracy, and ByteTrack worked at a higher FPS than deepSOrT, thereby improving the efficiency of the production line. This study presents an in-depth analysis of the system's accuracy, speed, and overall performance. © 2024 IEEE.

关键词： Object detection

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Fraud detection using recurrent Neural Networks for digital Wallet Security 8

Fraud Detection using Recurrent Neural Networks for Digital ...

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8th International Conference on Computer Science and Engineering, UBMK 2023

作者： Iscan, Can Akbulut, Fatma Patlar R&d Center of Formica Ai Istanbul Turkey Istanbul Kültür University Department of Software Engineering Istanbul Turkey

ISBN: (纸本)9798350340815

E-wallet use has exploded, bringing in a new era of convenient and secure digital transactions;nevertheless, it has also led to a surge in fraudulent transactions. Using recurrent Neural Networks (rNNs), this research provides an experimental approach for detecting fraudulent use of e-wallets. To detect fraudulent behaviors in e-wallet transactions, we have developed Long-Short Term Memory (LSTM) architecture to make use of the sequential nature of transaction data. Using the United Payment dataset for training and testing, the proposed model successfully classifies fraudulent transactions while reducing the number of false positives. The findings underline the utility of the rNN-based strategy in strengthening the safety and reliability of e-wallet systems, lead off for more secure online financial dealings. This study adds to the growing body of literature on detecting fraudulent use of electronic wallets by developing a model that makes use of deep learning to enhance fraud detection effectiveness in the ever-changing domain of digital payments. © 2023 IEEE.

关键词： Long short-term memory

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