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2023 International Conference on Advancement in Computation and Computer Technologies, InCACCT 2023

作者： Gupta, Sandeep Sandhan, Tushar Samanta, Suvendu Dutta, Samrat Indian Institute of Technology Department of Electrical Engineering Kanpur India R and i Program-Smart Machines Tata Consultancy Services India

ISBN: (纸本)9798350396485

The quadrotor's altitude(height), attitude(roll, pitch, yaw), and position (x-y directions) controller design are challenging research areas because of their non-linear coupled dynamics and under-Actuated system architecture. This study proposes a quadrotor control system based on neural networks of the Elman recurrent learning mechanism. To solve the desired trajectory tracking problem for a quadrotor, a direct inverse control strategy utilizing Elman recurrent neural networks (ERNN) is demonstrated and tested through MATLAB simulation. The simulation findings show that the ERNN-based control systen operates with a minimum mean square error when using the reference flight testing dataset. Theerror-based comparativ analysis shows that ERNN-based altitude, attitude, and position controllers outperform the backpropagation neural network, according to our experiments. © 2023 IEEE.

关键词： Mean square error

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A Novel Extended Power Supply Time System for Unmanned Aerial Vehicle 6

A Novel Extended Power Supply Time System for Unmanned Aeria...

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6th International Future Energy Electronics Conference, IFEEC 2023

作者： Shieh, Jenn-Jong Lee, Yu-Lin Lin, Chang-Hua Pai, Kai-Jun Feng Chia University Department of Electrical Engineering Taichung Taiwan National Taiwan University of Science and Technology Department of Electrical Engineering Taipei Taiwan National Taiwan Normal University The Undergraduate Program of Vehicle and Energy Engineering Taipei Taiwan

ISBN: (纸本)9798350339888

This study focuses on improving flight duration in unmanned aerial vehicles (UAVs) by enhancing battery utilization and proposes an extended power supply time (EPST) system based on the lithium-ion battery (LiB) and the lithium-ion capacitor (LiC) for UAV power system. The proposed system connects two energy storage elements using a buck-boost converter, with the LiC on the input side and the LiB on the output side of the converter. A novel control strategy is developed to improve the UAV's flight duration by extending the proposed system's power supply time (EPST). This strategy utilizes the LiC to provide additional energy to the load once the LiB is depleted. Moreover, the flight duration is further extended beyond what is achievable by the LiB's extra energy alone, thanks to a phenomenon called concentration polarization. The proposed EPST system is validated through hardware experiments. The results demonstrate that the EPST system significantly enhances LiB utilization and prolongs the UAV's flight duration. Specifically, the hovering flight duration is improved by 95.6%, while the durations for hovering and changing altitude conditions are increased by 27.7% and 27.2%, respectively. © 2023 IEEE.

关键词： Lithium-ion batteries

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High-Precision Robotic Arm for Silicon Wafer Handling and Alignment in Small-Scale Semiconductor Fabrication

High-Precision Robotic Arm for Silicon Wafer Handling and Al...

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IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)

作者： Luke Bassett Maria Apostle Federica Aveta Dept. of Electrical and Computer Engineering Program in Computer Engineering Wentworth Institute of Technology Boston MA USA Dept. of Electrical and Computer Engineering Program in Electrical Engineering Wentworth Institute of Technology Boston MA USA

ISBN: (数字)9798331540906

ISBN: (纸本)9798331540913

Semiconductors play a critical role in almost every sector of electronics. In the United States, semiconductor manufacturing is limited, having very few large-scale automation tools compared to those in Taiwan. Instead, these smaller fabs rely heavily on human interaction with wafer handling. This can add significant points of failure such as scratching, particle defects, and stress on the wafer. The goal of this project is to develop a low-cost, automated wafer handling robotic arm with the ability to automatically align the notch of a wafer, effectively removing an entire movement step in the fabrication process. The robotic arm is able to lift a wafer from a wafer cassette and move it freely in the x-y plane while simultaneously rotating the notch to the correct alignment. The robot design is based on a dual-arm SCARA robot and is fully custom designed and manufactured. The main components of the robot include parallel dual-joint arms, a base mount for the arm motors, an end effector with a pulley belt system for wafer rotation, and a wafer notch detection and alignment system using a computer vision algorithm. Future directions for the project include manufacturing the z-axis base for vertical movement and the rotation base for rotational motion, whose preliminary designs have been already completed.

关键词： Fabrication Computer vision Pulleys Semiconductor device manufacture Motors Mobile communication Silicon End effectors Robots Stress

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Adaptive Strategies and Handover Optimization in 5G Networks to Address High Mobility Challenges

Adaptive Strategies and Handover Optimization in 5G Networks...

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2024 International Conference on electrical engineering and Informatics, ICELTICs 2024

作者： Murhaban Syahrial Arif, Teuku Yuliar Arnia, Fitri Doctoral Program School of Engineering Universitas Syiah Kuala Universitas Teuku Umar Departement Information Technology Engineering Banda Aceh Aceh Barat Indonesia Universitas Syiah Kuala Department of Electrical and Computer Engineering Banda Aceh Indonesia

ISBN: (纸本)9798350366822

This study develops an adaptive handover strategy in 5G networks to tackle high mobility challenges and improve service continuity and quality. The research method uses a 5G network emulator with a topology of four base stations (gNBs) to test user equipment (UE) speeds of 20 km/h and 130 km/h. The adaptive algorithm developed utilizes data from the Received Signal Strength Indicator (RSSI) as well as the speed and direction of user mobility to make optimal handover decisions. The results show that at a speed of 130 km/h, the average handover latency reaches 12 ms, compared to 8 ms at 80 km/h. Additionally, the signal quality (RSSI) is lower at higher speeds, negatively affecting service quality. This adaptive algorithm successfully reduces handover latency and improves the stability and efficiency of the overall network. The testing also indicates that this adaptive algorithm can predict handover targets by considering UE speed and direction and uses hysteresis mechanisms to prevent overly frequent handovers. By employing technologies such as Multiple Input Multiple Output (MIMO) and beamforming, this strategy is expected to maintain high service quality even under high mobility conditions. © 2024 IEEE.

关键词： 5G mobile communication systems

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Real-Time Hand Gesture Recognition for Humanoid Robot Control Using Python CVZone 7th

Real-Time Hand Gesture Recognition for Humanoid Robot Contro...

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7th International Conference on Smart City Applications, SCA 2022

作者： Baihaqi, Muhammad Yeza Vincent Simatupang, Joni Welman Graduate Institute of Automation and Control College of Engineering National Taiwan University of Science and Technology Taipei Taiwan School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia Study Program of Electrical Engineering President University Bekasi Indonesia

ISBN: (纸本)9783031268519

Humanoid robot is able to mimic repetitive activities done by human. By having them, humans can focus on tasks that require extra focus, while leaving the simple one to be done by humanoid robot. To extend the functionality of the 3D-printed upper-body humanoid robot, a camera along with a machine learning algorithm is implemented. In this case, their responses can be categorized based on the gesture it sees. In this paper, the authors evaluate the performance of an upper-body humanoid robot that implements CVZone. The method of evaluation is conducted under three different distances, and each distance has three different brightness levels. It is found that the success rate is highest at the shortest distance which is 50 cm, and under medium-lighted environment. As the distance increases, the hand gesture gets harder to differentiate. At the same time, low or high brightness environment makes the image that contain hand gesture hard to interpret, thus lowering the success rate. Finally, hand gesture that involves third and little finger has the lowest success rate of 75%, while the movement that involves three fingers simultaneously has the second lowest success rate of 80.9%. Meanwhile, simple hand gesture such as clenched-fist or lifting a thumb has 100% success rate under all condition. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Anthropomorphic robots

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Offsets Reconstruction Method for Clock Skew Measurement Over High-Jitter Communication

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SN Computer Science 2025年第5期6卷 1-14页

作者： Sastra, Nyoman Putra Saputra, Komang Oka Teng, Wei-Chung Study Program of Electrical Engineering Faculty of Engineering Udayana University Jalan Raya Kampus Bukit Jimbaran Bali Badung 80361 Indonesia Department of Computer Science and Information Engineering National Taiwan University of Science and Technology No. 43 Section 4 Keelung Rd Taipei 106 China

Measuring clock skew of devices over a network fully relies on the offsets, the differences between sending and receiving times. Offsets that shape a thick line are the most ideal one as their slope is directly the clock skew sought. When some outliers separate from the thick line due to higher delay jitter, current advanced approaches use the lower bound or the majority of offsets to derive accurate clock skew. However, outliers in offsets that shape parallel dotted lines, reduce the availability of offsets in the lower region, and scatter widely the offsets from their majority zone. These conditions drive the current skew estimation approaches to lose their accuracy. This paper then developed a new method, which reconstructs back the outliers into their origin positions, in order to provide ideal offsets for clock skew measurement. The experimental evaluations have demonstrated that the clock skew accuracy of dotted-lines offsets tampered by outliers was improved from 2.1 to 0.9 ppm by the proposed reconstruction method. For a broader purpose, the reconstruction method has been adjusted to be implemented also on non-dotted-lines offsets. The robustness of the proposed method for this case has also been exhibited by the very ideal reconstructed offsets that shape like a thick line. © The Author(s) 2025.

关键词： Clock skew Delay jitter Dotted lines Hough transform

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COMPARATIVE PERFORMANCE OF MACHINE LEARNING MODELS FOR TEMPERATURE PREDICTION IN VANADIUM REDOX FLOW BATTERIES

COMPARATIVE PERFORMANCE OF MACHINE LEARNING MODELS FOR TEMPE...

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International Conference on Green Energy, Computing and Intelligent technology 2024, GEn-CITy 2024

作者： Zhang, Anxiu Juwono, Filbert H. Li, Hongfei Purwanto, Erick Wong, W.K. Liu, Linfeng Telecommunications Engineering Program Xi'an Jiaotong-Liverpool University Suzhou China Department of Electrical and Electronic Engineering Xi'an Jiaotong-Liverpool University Suzhou China Applied Mathematics Program Xi'an Jiaotong-Liverpool University Suzhou China Department of Computing Xi'an Jiaotong-Liverpool University Suzhou China Department of Electrical and Computer Engineering Curtin University Malaysia Miri Malaysia Sustainable Energy Technology Program Xi'an Jiaotong-Liverpool University Suzhou China

ISBN: (纸本)9781837242689

Vanadium Redox Flow Batteries (VRFB) are promising for large-scale energy storage due to their long life and environmental benefits. Accurate temperature prediction is key to optimizing VRFB performance and longevity. This study compares the performance of four machine learning models, i.e., 1D CNN, Particle Swarm Optimization - Support Vector Regressor (PSO-SVR), Decision Tree (DT), and K-Nearest Neighbors (KNN), using a publicly available dataset. Results show that KNN achieves the best results with test Root Mean Square Error (RMSE) of 0.0424 (average) and test R2 of 0.9746 (average), demonstrating strong predictive accuracy. 1D CNN, however, shows poor generalization. These findings suggest that non-parametric models like KNN and DT are highly effective for VRFB temperature prediction. © The Institution of engineering & technology 2024.

关键词： machine learning prediction Vanadium redox flow battery

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Modified Isolated SEPIC Converter for EV Charging and High Voltage Applications

Modified Isolated SEPIC Converter for EV Charging and High V...

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2023 International Conference on Power, Instrumentation, Energy and Control, PIECON 2023

作者： Ahmad, Javed Lin, Chang-Hua Khan, Mohammad Suhail Liu, Hwa-Dong Fahad, Mohammad National Taiwan University of Science and Technology College of Electrical Engineering and Computer Science Department of Electrical Engineering Taipei Taiwan National Taiwan Normal University Undergraduate Program of Vehicle and Energy Engineering Taipei Taiwan

ISBN: (纸本)9798350399769

This research article presents a modified isolated SEPIC converter suitable for high-power applications. It uses a transformer instead of coupled inductor for isolation between the input power source and the output load. The steady-state analysis is explained in detail. Thermal loss analysis is performed by using PLECS software. Further, a hardware prototype is developed to verify the performance aspects of the proposed converter. © 2023 IEEE.

关键词： High frequency transformers

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A High-step-down Converter with Negative Output Voltage 11

A High-step-down Converter with Negative Output Voltage

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11th International Conference on Power Electronics - ECCE Asia, ICPE 2023-ECCE Asia

作者： Yau, Yeu-Torng Luu, Thanh-Phu. National Chin-Yi University of Technology Ph.D. Program Ptoeecs Taichung Taiwan National Chin-Yuuuuuuui University of Technology Department of Electrical Engineering Taichung Taiwan

ISBN: (纸本)9788957083505

This paper proposes a new high step-down converter with negative voltage output, which has the following advantages: (1) Compared to conventional buck-boost or SEPIC converters, the proposed converter operates with zero voltage turn-on function. (2) The voltage gain of this circuit does not contain non-linear components, and the control is simple and can be driven by existing buck control ICs. (3) Due to the DC blocking capacitor between the output and input terminals, the high voltage at the input will not pass through to the output when the converter fails to be controlled. The load is protected. Finally, a prototype is completed and the proposed method is verified to be feasible. © 2023 The Korean Institute of Power Electronics.

关键词： Buck-Boost converter

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Visual Field Examination technology Based on Semi-transparent Elliptical Mirror 6

Visual Field Examination Technology Based on Semi-transparen...

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6th IEEE Eurasian Conference on Educational Innovation, ECEI 2023

作者： Chang, Chao-Kai Chiang, Chun-Yu Yeh, Feng-Ming Lee, Chi-Hung Tien, Chuen-Lin Chen, Der-Chin Department of Optometry Yuanpei University of Medical Technology Hsinchu Taiwan Ph.D. Program of Electrical and Communications Engineering Feng Chia University Taichung Taiwan Department of Electrical Engineering Feng Chia University Taichung Taiwan

ISBN: (纸本)9798350334289

In this study, the human visual field test technology is established by using an optoelectrical system consisting of a translucent ellipsoid, an area light source, and a landscape scene with an indicator. During the test, the subjects stared at the indicator directly in front of them with one eye and kept their eyeballs still, scanning the light strip with peripheral vision and using the mouse button plus the playback program to record the start and end positions of the scanning light strip in the landscape scene. This method is tested subjectively, and the subject needs to respond during the test. Therefore, before the test, the subject needs to understand the test process and be trained in advance to improve the exam accuracy. In the experiment, fifteen subjects with normal vision and no eye disease were selected. Their visual fields were confirmed normal after a preliminary assessment. The test results showed that the subjects' eyes were within the normal visual field, indicating that this method was feasible. In this research, a digital optical platform for the near visual field is proposed to establish an optoelectric visual field measurement technology. The proposed method is characterized by small size, rapid operation, and easy portability. With the digital LCD and visual imaging technology, both dynamic and static visual fields can be tested. The test data on the eyes' upper, lower, nasal, and temporal sides were consistent with the normal visual field. This shows that this method is feasible and worthy of promotion in the optometry industry. © 2023 IEEE.

关键词： Light sources

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