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IEEE Annual International computer Software and Applications Conference (COMPSAC)

作者： Min-Kuan Chang Chi-Sheng Yang Yu-Fang Chang Huan Chen Kuo-Guan Wu Department of Electrical Engineering National Chung Hsing University Taiwan Department of Electrical Engineering Graduate Institute of Communication Engineering College of Electrical Engineering and Computer Science National Chung Hsing University Taichung Taiwan Department of Computer Science and Engineering National Chung Hsing University Taiwan

ISBN: (数字)9798350376968

ISBN: (纸本)9798350376975

In this work, we propose an Accurate and Robust Matching Network (ARM-Net) to facilitate the point cloud regis-tration through accurate and robust point matching. The ARM-Net adopts two drastically different design concepts concerning network architectures. For one thing, ARM-Net utilizes dynamic graph convolution to extract features from evolving topology around a target point, where the neighboring information of that point is continuously changing. For another thing, ARM - N et uses the multi-layer perceptron (MLP) architecture to acquire “global” encoding of each local topology of the same point whose local topology remains constant. After extracting the features, the back-to-back transformers are used to identify self-attention and cross-attention between the two point clouds to be registered, and the matching subnetwork is then used to identify the points that correspond. Moreover, to obtain more local information and improve the distinctness of the extracted features, we propose a simple but effective module of local aggregation based on the K-Nearest Neighbor (KNN) algorithm before the extraction of the features. Providing noise-independent local information and improving registration performance is possible when K is sufficiently large for the local aggregation. For rotation and translation errors, simulation results demonstrate that ARM-Net outperforms other networks in terms of the MSE, RMSE and MAE. For rotation errors, ARM-Net has Root Mean Square Errors (RMSEs) of 0.0639 and 2.08962 for full and partial registration, respectively. For translation errors, ARM-Net has RMSEs of 2×10 −6 and 0.025574 for full and partial registration, respectively.

关键词： Point cloud compression Accuracy Convolution Simulation Nearest neighbor methods Feature extraction Transformers

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Transfer Learning-based Lane Line Detection System for Visual Path Following Control

Transfer Learning-based Lane Line Detection System for Visua...

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IEEE International Conference on Automation Science and engineering (CASE)

作者： Allan S. Almeida Tiago T. Ribeiro Andre G. S. Conceicao Postgraduate Program in Electrical Engineering Federal University of Bahia Salvador Brazil Department of Electrical and Computer Engineering Federal University of Bahia Salvador Brazil

ISBN: (数字)9798350358513

ISBN: (纸本)9798350358520

One of the most important tasks in autonomous driving and autonomous vehicle navigation is detecting a path or trajectory that the vehicle should follow. Over the past few years, some learning-based works have stood out more than traditional computer vision techniques in detecting such lanes. In this paper we present an approach to solve the lane line detection problem in the context of visual path following by using a residual factorized convolutional neural network. Experimental results show a promising model that can detect lane lines even under severe lighting conditions and in the presence of occlusions and shadows. The path detection system was tested along with a visual path following formulation based on Nonlinear Model Predictive Control. Still, it can be used for any controller in the context of visual navigation for autonomous vehicles. Nonetheless, the proposed model architecture strikes a remarkable balance between accuracy and efficiency, making the system suitable for real-time applications.

关键词： Measurement Visualization Accuracy Navigation Computational modeling Lighting computer architecture Trajectory Convolutional neural networks Autonomous vehicles

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Metasurfaces for molecular emitter

Metasurfaces for molecular emitter

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2022 Conference on Lasers and Electro-Optics Pacific Rim, CLEO/PR 2022

作者： Nishijima, Yoshiaki Department of Electrical and Computer Engineering Graduate School of Engineering Yokohama National University 79-5 Tokiwadai Hodogaya-ku Yokohama240-8501 Japan

We demonstrate extraordinarily spectrally selective narrowband mid-infrared radiation absorbance and thermal emittance with the strong surface enhancement of molecular infrared absorption (SEIRA) using mid-midinfrared metasurfaces. This was achieved by harnessing mode coupling between a plasmonic metal-insulator-metal (MIM) metasurface and molecular vibrational mode resonances. We found that the weak/strong coupling has a high potential for the future application of thermal emitters for midinfrared light sources. We will present recent advances in the coupling of molecular vibration and metasurfaces. © IEEE 2022.

关键词： Light absorption

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Gauge Length Optimization of das using Fiber Bragg Grating Strain Measurements

Gauge Length Optimization of das using Fiber Bragg Grating S...

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Bragg Gratings, Photosensitivity and Poling in Glass Waveguides and Materials, BGPP 2022

作者： Weber, Guilherme Heim Jahnert, Frederico Gomes, Danilo Fernandes Martelli, Cicero Dreyer, Uilian José Da Silva, Jean Carlos Cardozo Pipa, Daniel Rodrigues De Camargo, Sérgio Taveira Da Silva, Manoel Feliciano Da Silva, Marco José Graduate Program in Electrical and Computer Engineering Universidade Tecnológica Federal Do Paraná Curitiba80230-901 Brazil Petrobras Research and Development Program Rio de Janeiro21941-970 Brazil

The gauge length parameter selection affects the quality of data measured in Distributed Acoustic Sensing. This paper uses Fiber Bragg Grating's strain measurements in controlled experiments to promote optimizatio... 详细信息

ISBN: (纸本)9781957171166

关键词： Strain measurement

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Social Media Analysis using Sentiment Analysis on COVID-19 from Twitter 6

Social Media Analysis using Sentiment Analysis on COVID-19 f...

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6th International Conference on Information Technology, Information Systems and electrical engineering, ICITISEE 2022

作者： Iqbal Maulana, Fairuz Heryadi, Yaya Lukas Suparta, Wayan Arifin, Yulyani Computer Science Department BINUS Graduate Program Computer Science Bina Nusantara University Jakarta11480 Indonesia Faculty of Engineering Jakarta12930 Indonesia Institut Teknologi Nasional Yogyakarta Faculty of Industrial Technology Department of Electrical Engineering Yogyakarta55281 Indonesia Bina Nusantara University School of Computer Science Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9798350399615

The development of the internet is getting faster, participating in encouraging the emergence of new and innovative information. In filtering the various information that appears, we need a recommended system to perform well for users in today's internet era. A well-performing recommendation system in question is a reliable recommendation algorithm. This algorithm is fundamental to analyzing various information, such as responses on social media based on user behavior data related to the topic of COVID. This data is crawled from tweets on social media Twitter. The data analysis algorithm obtained uses Python, which is then visualized in the form of a diagram. The processed data is user comments on Twitter, and the text data is analyzed using Python, using more than 60000 data sets taken to form visualizations and conclusions. From sentiment analysis, polarity and subjectivity data are obtained to be analyzed, which are negative, neutral, or positive. The result is show positive tweets with 29.2%, negative tweets is 13%, and 57.8% neutral tweets. Lastly, sentiment analysis can help people effectively infer vast and complex data from social media like Twitter. © 2022 IEEE.

关键词： COVID-19 python sentiment analysis social media twitter

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Distributed temperature sensing for special induction motor applied in harsh environment 11

Distributed temperature sensing for special induction motor ...

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Photonic Instrumentation engineering XI 2024

作者： Mazzo, Paulo H.R. Torelli, Gabriel A. Dreyer, Uilian J. Pelegrin, Jessé Stel, Henrique Da Silva, Luiz C.T. Romero, Gabriel A. Morales, Rigoberto E.M. da Silva, Jean C.C. Graduate Program in Electrical and Computer Engineering Federal University of Technology UTFPR Paraná PR Curitiba Brazil Graduate Program in Energy Systems Federal University of Technology UTFPR Paraná PR Curitiba Brazil Multiphase Flow Research Center - NUEM Federal University of Technology UTFPR Paraná PR Curitiba Brazil CENPES/PDIEP EE Petrobras Brazil Federal Institute Catarinense IFC Santa Catarina Brazil

ISBN: (纸本)9781510670464

This paper presents a study and development on the thermal mapping of a Three-phase Induction Motor for harsh environments application. These machines’ exceptional performance and precise speed control make them essential equipment in multiple industrial processes, such as Artificial Lift, which integrates with a multistage centrifugal pump to elevate fluids from the reservoirs to the surface. Increased motor speeds for higher production requirements can result in temperature rise, damaging the stator winding. Employing the Raman Distributed Temperature Sensing System (RDTS), we generate a comprehensive heat distribution map of the motor. ANSYS Motor-CAD was applied for computational simulations to perform steady-state thermal analysis, giving an overview of heat transfer among internal components and thermal limits for the instrumented motor. This preliminary study presents a series of experimental tests to evaluate the advantages of fiber optic temperature sensing in harsh environments, emphasizing its significance in improving electrical machines’ performance and reliability. © 2024 SPIE.

关键词： Centrifugal pumps

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Trends, Opportunities, and Challenges in Detecting Depressive Disorders Through Mobile Devices: A Review 2

Trends, Opportunities, and Challenges in Detecting Depressiv...

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2nd International Conference on computer System, Information Technology, and electrical engineering, COSITE 2023

作者： Elwirehardja, Gregorius Natanael Isnan, Mahmud Perbangsa, Anzaludin Samsinga Muchtar, Kahlil Pardamean, Bens Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia Mahmud Isnan Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta11480 Indonesia Information System Department School of Information Systems Bina Nusantara University Jakarta11480 Indonesia Department of Electrical and Computer Engineering Universitas Syiah Kuala Banda Aceh23111 Indonesia Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia

ISBN: (纸本)9798350343069

Depressive Disorders (DD) is one of the most prevalent mental disorders in the world that may lead to suicide cases. To prevent the latter, ubiquitous early detection systems may be effective. Recent studies have since researched the development of such systems by exploiting several forms of data, including video, audio, Ecological Momentary Assessments (EMA), and passive sensing data using sensors embedded in mobile devices. To summarize the trends, opportunities, and existing challenges in this field, this study reviewed 15 papers to answer four research questions. EMA was the most popular data to be used in this task, but other approaches, such as using video, audio, and typing behaviors, may be considered due to the subjectivity of EMA. These data were typically recorded using smartphones and analyzed using Machine Learning (ML). However, most of the developed systems had yet to be implemented. Overall, it was concluded that further studies may need to explore usages of more objective data in multimodal approaches as well as consider using Mobile Cloud Computing (MCC) to deploy these systems to provide more effective and efficient diagnoses. Future studies must also take into account the existing challenges of the data and infrastructures, such as the weaknesses of several data types, limitations of mobile devices, as well as the challenges of diagnosis approaches. © 2023 IEEE.

关键词： Machine learning

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Effect of Hip Treatment on Thermoelectric Properties of Tio2-X

SSRN

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SSRN 2024年

作者： Mori, Hidenobu Yoshida, Haruhiko Department of Electrical Engineering and Computer Sciences Graduate School of Engineering University of Hyogo Hyogo Himeji671-2280 Japan

In order to investigate the effect of hot isostatic pressing (HIP) treatment on thermoelectric properties of titanium oxides (TiO2) for the improvement of thermoelectric conversion efficiency, the X-ray diffraction, the electrical conductivity (σ) and Seebeck coefficient (S) of samples were measured at room temperature in the atmosphere. After the HIP treatment, the results of the X-ray diffraction showed that samples were reduced to the non-stoichiometric titanium oxides (TiO2-x). The power factor (S2σ) of the TiO2-x after the HIP treatment was increased as compared with the reduction treatment with carbon powder. These results revealed that the TiO2-x prepared using by the HIP treatment was expected to the application for the thermoelectric devices. © 2024, The Authors. All rights reserved.

关键词： Hot isostatic pressing

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Optical OFDM transmission based on phase modulation and fiber bragg grating

Optical OFDM transmission based on phase modulation and fibe...

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IEEE/LEOS International Conference on Optical MEMS

作者： Paulo de Tarso Neves Junior Luis Carlos Vieira Alexandre de Almeida Prado Pohl Graduate Program in Electrical and Computer Engineering (CPGEI) Federal University of Technology - Paraná (UTFPR) Curitiba Brazil

In this work, we propose an optical OFDM system using phase modulation followed by optical filtering and direct detection. A fiber Bragg grating is used as an optical filter for phase to amplitude conversion. The performance of the proposed system is investigated for both 16 QAM- and 64 QAM-OFDM signals considering different numbers of training signals for frequency-domain channel estimation. With adequate choice of the training sequence length, BER results below 10 −4 are reported for the 16 QAM based signal.

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Digital Twin Agent for Super-Aged Society

Digital Twin Agent for Super-Aged Society

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2022 IEEE International Conference on Consumer Electronics, ICCE 2022

作者： Kobayashi, Toru Fukae, Kazuki Imai, Tetsuo Arai, Kenichi Graduate School of Engineering Nagasaki University Division of Electrical Engineering and Computer Science Nagasaki Japan Hiroshima City University Graduate School of Information Sciences Department of Intelligent Systems Hiroshima Japan

ISBN: (纸本)9781665441544

We propose a digital twin agent that constructs elderly digital twins by digitally transforming daily life of the elderly. We developed the digital twin agent as an avatar run on a smartwatch. The digital twin agent provides cooperation support functions with the society to the elderly. Those support function histories will be integrated with the digital twin. The digital twin agent can also monitor indoor daily life activities using distributed small sensors inside home. Then, those monitoring results will be integrated with the same digital twin. We confirmed that the digital twin agent could provide cooperation support functions with the society through evaluation experiments in Nagasaki city in Japan. We also confirmed that the digital twin agent could construct the digital twin based on those support function histories and offer mental health support functions using the constructed digital twin. © 2022 IEEE.

关键词： Resource Description Framework (RDF)

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