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35th Conference on Computational Linguistics and Speech Processing, ROCLING 2023

作者： Zhang, Qiu-Xia Chi, Te-Yu Yang, Te-Lun Tang, Yu-Meng Chen, Ta-Lin Jang, Jyh-Shing Roger Department of Computer Science and Information Engineering National Taiwan University Taiwan Department of Computer Science and Information Engineering Tongji University China Department of Electrical and Computer Engineering University of Texas at Austin United States

ISBN: (纸本)9789869576963

The existing method of using large pre-trained models with prompts for zero-shot text classification possesses powerful representation ability and scalability. However, its commercial availability is relatively limited. The approach of employing class labels and existing datasets to fine-tune smaller models for zero-shot classification is comparatively straightforward, yet it might lead to weaker model generalization ability. This paper introduces three methods to enhance the accuracy and generalization capability of pre-trained models in zeroshot text classification tasks: 1) utilizing pretrained language models and structuring inputs into a standardized multiple-choice format;2) creating a text classification training dataset using Wikipedia text data and refining the pre-trained model through fine-tuning;and 3) suggesting a zero-shot category mapping technique based on GloVe text similarity, wherein Wikipedia categories replace textual categories. Remarkably, without employing labeled samples for fine-tuning, the proposed method achieves results comparable to the best models fine-tuned with labeled samples. © 2023 ROCLING 2023 - Proceedings of the 35th Conference on Computational Linguistics and Speech Processing. All rights reserved.

关键词： Classification (of information)

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Intelligent Channel Impulse Response Feature Prediction in Underwater Acoustic Networks 15

Intelligent Channel Impulse Response Feature Prediction in U...

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15th International Conference on Information and Communication Technology Convergence, ICTC 2024

作者： Yun, Sinwoong Lee, Jemin Department of Electrical Engineering and Computer Science Daegu Korea Republic of School of Electrical and Electronic Engineering Yonsei University Seoul Korea Republic of

ISBN: (纸本)9798350364637

In this paper, we develop an intelligent channel im-pulse response (CIR) feature prediction algorithm in underwater networks. To this end, we first extract the major features, i.e., CIR values and tap distances, from raw CIR. Then, we implement a feature prediction module by adopting the time-series forecasting learning algorithm. Through the simulation results, we verify the prediction accuracy of the proposed algorithm with the normalized mean square error (NMSE) loss curve. © 2024 IEEE.

关键词： Prediction models

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Deep Convolutional Multi-Relational Graph Attention Network for Autonomous Drone Navigation in Urban Wind Zones

Deep Convolutional Multi-Relational Graph Attention Network ...

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2025 International Conference on Multi-Agent Systems for Collaborative Intelligence, ICMSCI 2025

作者： Pabitha, C. Joshua, K. Paul Pradeep, S. Sophia, S. Sharma, R. Rajesh Prabhu, D. Karthik Srm Valliammai Engineering College Department of Computer Science and Engineering Tamil Nadu Chennai India Scad College of Engineering and Technology Department of Computer Science and Engineering Tamil Nadu Tirunelveli India MAlla Reddy Engineering College for Women Department of Computer Science and Engineering Telangana Secunderabad India Karunya Institute of Technology and Sciences Department of computer Science and Engineering Tamil Nadu Coimbatore India Alliance University Department of Computer Technology Alliance College of Engineering and Design Bangalore India Ramco Institute of Technology Department of Electrical and Electronics Engineering Tamil Nadu Rajapalaiyam India

ISBN: (纸本)9798331509828

Drones are essential for civil engineering operations like logistics and data collecting. Current autonomous drone studies mainly concerns itself with safe path planning in static scenarios;however one of the major challenges of over urban environment is often dynamic factors such as wind, building layouts, and signal coverage that can significantly impact direction stability. For autonomous navigation across dynamic wind zones, this study proposed a new Shape-aware Mesh Dual Lightweight Deep Convolutional Multi-Relational Graph Attention Network with Growth Optimizer (SAMDLDCMRGANet-GO) that leverages local data from RGB cameras and GPS. The method incorporates a Dual Aggregation Transformer for feature extraction, Shape-aware Mesh Normal Filtering for preprocessing, and the LDCMRGAN et for efficient path planning. The proposed approach demonstrates its efficacy in navigating complicated surroundings while retaining high precision in obstacle avoidance and target acquisition, achieving an impressive 99.14% recall, 99.15% accuracy, an outstanding EVA of 0.99, and a low RMSE of 0.41. © 2025 IEEE.

关键词： Mesh generation

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IoT Revolution: Exploring the Impact of loT Based Embedded System Technology on Healthcare, Agriculture and Business Startups in Smart Village 2

IoT Revolution: Exploring the Impact of loT Based Embedded S...

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2nd International Conference on Power, electrical, Electronics and Industrial Applications, PEEIACON 2024

作者： Gupta, Rittik Das Debnath, Sourav Gupta, Riva Das Chowdhury, Mrithika Department of Electrical and Electronic Engineering Dhaka Bangladesh Department of Electrical and Electronic Engineering Dhaka Bangladesh Department of Economics Chattogram Bangladesh Department of Computer Science and Engineering Chattogram Bangladesh

ISBN: (纸本)9798331517984

The paper illustrates the development of an integrated Internet of Things (IoT) gadget with smart agricultural and healthcare systems, as well as the possibility for their startup firms to build a smart village. The system comprises a carefully designed front end powered by Arduino and NodeMCU microcontrollers. It has a number of high-precision sensors, including the DS18B20 for body temperature, the Max30102 for heart rate and oxygen level, the FC-28 for soil moisture, the DHT-11 for temperature of the environment and maintaining humidity, the dust sensor for air quality detection, and calibrated MQ sensors for gas detection of CH4, H2S, and NH3. The back end simply interfaces with the Blynk application, ThingSpeak, and Google spreadsheet as data storage for detailed data visualization and real-time monitoring via smart devices. A rigorous sensor validation process that was carried out, indicating that this device's measurements align statistically with those of commercially available sensors, as validated by paired sample t-tests, Q-Q plot and descriptive data analysis in SPSS software. The prototypic data analysis system is also a key aspect of this research. Our proposed research not only supports the usefulness of our technology, but also gives a direction for future users to correctly evaluate their data. The integrated IoT device exhibits its utilization for smart healthcare and precision agriculture systems for the purpose of smart village. The combination of IoT along with startup enterprises is extending unique notions that could improve global food sustainability and individual well-being. This paper displays the potential for startups to develop innovative IoT, health, and agriculture solutions that will shape a future where technology improves lives and ensures food security. © 2024 IEEE.

关键词： Smart agriculture

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Performances comparison of Reluctance Machines Energized Bipolar and Unipolar Sinusoidal Current

Performances comparison of Reluctance Machines Energized Bip...

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2024 IEEE Transportation Electrification Conference and Expo, Asia-Pacific, ITEC Asia-Pacific 2024

作者： Uemoto, Satoshi Aiso, Kohei Shibaura Institute Of Technology Electrical Engineering And Computer Science Tokyo Japan Shibaura Institute Of Technology Department Of Electrical Engineering Tokyo Japan

ISBN: (纸本)9798331529277

In this paper, SRM, DC-VRM, and VRM with same pole-slot combinations of 8 poles/12 slots and 10 poles/12 slots are designed, the mechanism of generating torque in the energization by the sinusoidal current with and without DC offset is analyzed by Finite Element Analysis (FEA). Through these analyses, the structure that satisfies high torque and the excitation methods suitable for each speed range in reluctance motors with applying sinusoidal current will be clarified. © 2024 IEEE.

关键词： Reluctance motors

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Integration of Blockchain and Fog Computing—A Review 5th

Integration of Blockchain and Fog Computing—A Review

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5th International Conference on Advances in Information Communication Technology and Computing, AICTC 2024

作者： Kaur, Nirbeh Kumar, Shubham Kumar, Ritik Ranjana, Khushi Anand, Kumar Abhishek Gupta, Shailendra Kumar Department of Computer Science and Engineering Chandigarh University Punjab Mohali India Department of Electrical Engineering Chandigarh University Punjab Mohali India

ISBN: (纸本)9789819761050

"Integration of blockchain and fog computing" involves the two different concepts, i.e. blockchain technology and fog computing which has something in common—the decentralised system. The rapid advancement of technologies all over the world has put some threats to the data and information along with its development. The fog computing concept was put forward to enhance cloud computing applications in handling the IoT data. Fog computing, on the other hand, faces a number of difficulties, including storage, privacy, and security. Integration of blockchain with fog computing is the main approach which can help in overcoming these difficulties. Several researches are being done for integrating blockchain with fog computing in the field of health care, smart home, smart cities, IoT applications, drones network, mobile devices, transportation, financial, supply chain management, and many more. This research paper is a review study of relevant papers published on this topic already and gives an insight of the applications of integration of blockchain and fog computing. Our review paper has a systematic study of existing literature on this topic, and it provides an excellent overview of all the concepts that will play a crucial role for the researchers in their future studies. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Electronic health record

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Control Strategy of Wind Turbines for Their Withdrawl of Frequency Regulation 3

Control Strategy of Wind Turbines for Their Withdrawl of Fre...

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3rd International Conference on Energy, Power and electrical Technology, ICEPET 2024

作者： Gao, Haishu Zhang, Feng Wu, Guanghao Cornelusse, Bertrand Shandong University School of Electrical Engineering Jinan China University of Liege Department of Electrical Engineering and Computer Science Liège Belgium

ISBN: (纸本)9798350352658

The simultaneous withdrawal of multiple WTGs after wind farm participation in frequency regulation will cause a large power plunge, which in turn will cause a serious secondary frequency drop in the system. Moreover, due to the large area of large-scale wind farms, the wind conditions in which each WTG is located vary greatly, and the volatility of wind speed is more complicated, so the timing arrangement of WTG withdrawal becomes more difficult. Aiming at this problem, this research takes the power dips and the output frequency regulation energy into account, at the moment of withdraw of WTG, establishes a wind speed differentiated withdraw control mode for WTG frequency regulation, and based on this, a novel control strategy of wind turbines for their withdraw of frequency regulation is proposed, which staggers the time of speed restoration of the WTG groups at the wind farm level to mitigate the power dips caused by the simultaneous withdraw of multiple WTGs. © 2024 IEEE.

关键词： Windmill

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Differential Coaxial Coils for Frequency Independent Deep Magnetic Focusing on Implantable Devices

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IEEE Transactions on Antennas and Propagation 2025年第6期73卷 3792-3801页

作者： Shah, Syed Ahson Ali Kim, Ye R. Kim, Yun-Su Jeong, Seog Y. Rim, Chun T. Department of Electrical Engineering and Computer Science Gwangju61005 Korea Republic of R&d Campus Samsung Electronics Company Ltd. Seoul06765 Korea Republic of

Magnetic field focusing in longitudinal direction has been a missing link for three-dimensional synthesized magnetic focusing (3-D SMF). Deep magnetic focusing (DMF) by multiple coaxial coils, a sort of 3-D SMF, is firstly proposed in this paper, where magnetic field becomes maximum at the focal range in longitudinal direction. DMF is requisite for transcranial magnetic stimulation (TMS) and wireless power transfer (WPT). As the simplest DMF, a set of differential coils with opposite current direction is implemented. Optimum coil currents, coil radii, and coil distance are designed to provide with zero magnetic field at zero range and maximum magnetic field at a focal range. This DMF performance is found to be achieved with a penalty of peak magnetic field reduction. Experiments for the differential coils of diameters 10 cm and 5 cm with 3 cm gap showed 4 cm depth DMF within 6 cm diameter. Specific numbers of turns make the DMF be driven by only a single voltage source, which is firstly adopted in SMF. The frequency versatile DMF characteristic is experimentally verified for 60 Hz and 40 kHz, where 27mW is delivered to a focal point that is a demonstration for safer WPT of implantable devices. © 1963-2012 IEEE.

关键词： Inductive power transmission

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Fréchet Edit Distance 40

Fréchet Edit Distance

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40th International Symposium on Computational Geometry, SoCG 2024

作者： Fox, Emily Nayyeri, Amir Perry, Jonathan James Raichel, Benjamin Department of Computer Science University of Texas DallasTX United States School of Electrical Engineering and Computer Science Oregon State University CorvallisOR United States

ISBN: (纸本)9783959773164

We define and investigate the Fréchet edit distance problem. Given two polygonal curves π and σ and a threshhold value δ > 0, we seek the minimum number of edits to σ such that the Fréchet distance between the edited σ and π is at most δ. For the edit operations we consider three cases, namely, deletion of vertices, insertion of vertices, or both. For this basic problem we consider a number of variants. Specifically, we provide polynomial time algorithms for both discrete and continuous Fréchet edit distance variants, as well as hardness results for weak Fréchet edit distance variants. © Emily Fox, Amir Nayyeri, Jonathan James Perry, and Benjamin Raichel.

关键词： Hardness

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LDPC CODES FOR IRIG-106 WAVEFORMS: PART II–RECEIVER DESIGN 58

LDPC CODES FOR IRIG-106 WAVEFORMS: PART II–RECEIVER DESIGN

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58th Annual International Telemetering Conference, ITC 2023

作者： Perrins, Erik Department of Electrical Engineering and Computer Science University of Kansas United States

Low density parity check (LDPC) codes allow a communications link to operate reliably at signal to noise ratios that are very close to the Shannon limit. Because of this, in the early 2000s they were studied in connection with SOQPSK-TG and were eventually adopted into the IRIG-106. The deployment for SOQPSK-TG has proved to be very successful, which has motivated interest in finding an LDPC solution for PCM/FM and ARTM CPM. Such a solution, however, has proved to be elusive for reasons that were not entirely clear in the past. In our companion paper, we reveal these reasons, which also allows us to develop an LDPC design procedure for all IRIG-106 modulations and we apply this procedure to PCM/FM and ARTM CPM. In this paper, our focus is on developing high-speed, parallelizable decoders/demodulators that are suitable for high-throughput applications. We present the performance characteristics of our fixed-point software prototype system. We demonstrate that the coded LDPC system performs around one dB from the respective channel capacities of these modulations. As such, these codes can be considered to fill in the LDPC options that are currently absent in the IRIG-106 standard for PCM/FM and ARTM CPM. © 2023 International Foundation for Telemetering. All rights reserved.

关键词： Signal to noise ratio

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