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14th International Conference on Education Technology and computers, ICETC 2022

作者： Souza, Adriana Freitas, Diamantino Bahia Federal Institute of Education Science and Technology Porto Seguro Bahia Brazil Doctoral Program in Digital Media Faculty of Engineering Faculty of Engineering of University of Porto Porto Portugal Department of Electrical and Computer Engineering Faculty of Engineering of University of Porto Porto Portugal

ISBN: (纸本)9781450397766

Voice synthesizers still present several challenges in the speech of mathematical content, as spoken mathematics has quite peculiar rules. In the synthesized speech, pauses help blind and visually impaired students identify the limits of mathematical operators and subexpressions. However, most studies on pauses define them uniformly or use simple punctuation marks to force the synthesizer to introduce pauses in certain parts of the expression. Speech is a dynamic process and pauses in expressions also need to be dynamic to make the synthetic speech of expressions more natural, as this can help in memorizing this type of content. This work proposed a dynamic model of pauses for mathematical expressions. Collected math expressions spoken by teachers were used to create the model. These expressions were useful for identifying patterns and creating a linear regression model. Blind and visually impaired students evaluated the model. Some improvements were observed when we compared the synthesized mathematical expressions with the model and Audiomath, the parameter tool used in this study. © 2022 ACM.

关键词： Dynamic models

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100 GHz Thin-Film LNOI/Si Optical Modulator Fabricated by Room Temperature Wafer Bonding

100 GHz Thin-Film LNOI/Si Optical Modulator Fabricated by Ro...

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IEEE International Workshop on Low Temperature Bonding for 3D Integration (LTB-3D)

作者： Seigo Murakami Yoshiki Katoda Yuya Yamaguchi Takahide Sakamoto Ryo Takigawa Graduate School of Information Science and Electrical Engineering Kyushu University Fukuoka Japan National Institute of Information and Communications Technology (NICT) Tokyo Japan Department of Electrical Engineering and Computer Science Tokyo Metropolitan University Tokyo Japan

This paper demonstrated 100 GHz thin-film LNOI/Si optical modulator fabricated by room temperature wafer bonding with activated Si atomic layer.

ISBN: (数字)9798331519919

ISBN: (纸本)9798331519926

This paper demonstrated 100 GHz thin-film LNOI/Si optical modulator fabricated by room temperature wafer bonding with activated Si atomic layer.

关键词： Wafer bonding Atom optics Optical modulators Conferences Atomic layer deposition Silicon Bonding Three-dimensional integrated circuits

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ForTT-Gen: Network Traffic Generator for Malware Forensics Analysis Training

ForTT-Gen: Network Traffic Generator for Malware Forensics A...

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International Symposium on Digital Forensic and Security (ISDFS)

作者： Jonas Vasconcelos Bistene Clayton Escouper das Chagas Anderson Fernandes Pereira dos Santos Gabriela Moutinho de Souza Dias Ronaldo Moreira Salles Defense Engineering Graduate Program Military Institute of Engineering Rio de Janeiro Brazil Department of Computer Engineering Military Institute of Engineering Rio de Janeiro Brazil CIICESI ESTG Polytechnic of Porto Porto Portugal

ISBN: (数字)9798350330366

ISBN: (纸本)9798350330373

The generation and replication of network traffic are essential tasks for testing, analyzing, simulating, and evaluating the behavior and efficiency of systems, protocols, applications, and network services. However, it faces various challenges and limitations when generating or replicating network traffic in a realistic, responsive, and scalable manner, using appropriate models. This work proposes a modeling of a program for generating and replicating network traffic, called Forensic Training Traffic Generator (ForTT-Gen), aims to address the challenge associated with generating and replicating network traffic generated by malware by creating files that can be used in the analysis of network packets inherent to forensic analysts' training. ForTT-Gen is a tool that can generate and replicate network traffic using a hybrid model that combines the replication of real data and the generation of synthetic data through statistical techniques. Experimental results demonstrate the model's ability to reliably. Accurately reproducing the statistical patterns of the original traffic, is evidenced by a determination coefficient of 1 and a Pearson coefficient of 0.9, all within a 0,58 confidence interval with 95% certainty.

关键词： Training Analytical models Systematics Telecommunication traffic Malware Hybrid power systems Generators

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Local Periodicity-Based Beat Tracking for Expressive Classical Piano Music

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IEEE/ACM Transactions on Audio Speech and Language Processing 2023年 31卷 2824-2835页

作者： Chiu, Ching-Yu Muller, Meinard Davies, Matthew E. P. Su, Alvin Wen-Yu Yang, Yi-Hsuan National Cheng Kung University Academia Sinica Graduate Program of Multimedia Systems and Intelligent Computing Tainan701401 Taiwan International Audio Laboratories Erlangen Erlangen91058 Germany University of Coimbra Department of Informatics Engineering Centre for Informatics and Systems Coimbra3004-531 Portugal National Cheng Kung University Department of Computer Science and Information Engineering Tainan701401 Taiwan Taiwan AI Labs Yating Music Team Taipei103622 Taiwan Academia Sinica Research Center for IT Innovation Taipei11529 Taiwan

To model the periodicity of beats, state-of-the-art beat tracking systems use 'post-processing trackers' (PPTs) that rely on several empirically determined global assumptions for tempo transition, which work well for music with a steady tempo. For expressive classical music, however, these assumptions can be too rigid. With two large datasets of Western classical piano music, namely the Aligned Scores and Performances (ASAP) dataset and a dataset of Chopin's Mazurkas (Maz-5), we report on experiments showing the failure of existing PPTs to cope with local tempo changes, thus calling for new methods. In this paper, we propose a new local periodicity-based PPT, called predominant local pulse-based dynamic programming (PLPDP) tracking, that allows for more flexible tempo transitions. Specifically, the new PPT incorporates a method called 'predominant local pulses' (PLP) in combination with a dynamic programming (DP) component to jointly consider the locally detected periodicity and beat activation strength at each time instant. Accordingly, PLPDP accounts for the local periodicity, rather than relying on a global tempo assumption. Compared to existing PPTs, PLPDP particularly enhances the recall values at the cost of a lower precision, resulting in an overall improvement of F1-score for beat tracking in ASAP (from 0.473 to 0.493) and Maz-5 (from 0.595 to 0.838). © 2014 IEEE.

关键词： Hidden Markov models

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Modular Self-Lock Origami: design, modeling, and simulation to improve the performance of a rotational joint

arXiv

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arXiv 2023年

作者： Zare, Samira Spaeth, Alex Suresh, Sandya Teodorescu, Mircea Department of Electrical and Computer Engineering University of California Santa Cruz United States SIP program University of California Santa Cruz United States Department of Computer Science and Engineering United States

Origami structures have been widely explored in robotics due to their many potential advantages. Origami robots can be very compact, as well as cheap and efficient to produce. In particular, they can be constructed in a flat format using modern manufacturing techniques. Rotational motion is essential for robotics, and a variety of origami rotational joints have been proposed in the literature. However, few of these are even approximately flat-foldable. One potential enabler of flat origami rotational joints is the inclusion of lightweight pneumatic pouches which actuate the origami’s folds;however, pouch actuators only enable a relatively small amount of rotational displacement. The previously proposed Four-Vertex Origami is a flat-foldable structure which provides an angular multiplier for a pouch actuator, but suffers from a degenerate state. This paper presents a novel rigid origami, the Self-Lock Origami, which eliminates this degeneracy by slightly relaxing the assumption of flat-foldability. This joint is analysed in terms of a trade-off between the angular multiplier and the mechanical advantage. Furthermore, the Self-Lock Origami is a modular joint which can be connected to similar or different joints to produce complex movements for various applications;three different manipulator designs are introduced as a proof of concept. Copyright © 2023, The Authors. All rights reserved.

关键词： Manipulators

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Constructing an Automated Method for Interpreting Alzheimer’s Disease Based on Deep Learning Models and Image Processing 24

Constructing an Automated Method for Interpreting Alzheimer...

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8th International Conference on Medical and Health Informatics, ICMHI 2024

作者： Yi, Chia-Pin Ting, Hsien-Wei Yang, Tzu-Fang Chien, Ting-Ying Department of Computer Science and Engineering Yuan Ze University Taoyuan City Taiwan Department of Neurosurgery Taipei Hospital Ministry of Health and Welfare New Taipei City242 Taiwan Graduate Program in Biomedical Informatics Yuan Ze University Taoyuan City Taiwan TaiwanInnovation Center for Big Data and Digital Convergence Yuan Ze University Taoyuan City Taiwan

ISBN: (纸本)9798400716874

Alzheimer’s disease (AD) often presents only mild symptoms in its early stages, and as there is no direct diagnostic method currently available, many patients are diagnosed only after the condition has worsened. Considering that magnetic resonance imaging (MRI) can provide key information in the diagnosis of AD, but the condition may go undiagnosed under manual interpretation due to the subtleness of symptoms and the reliance on radiologists to interpret MRI images, this study aimed to develop an automated method for interpreting brain MR images, hoping to screen for potential AD patients. By combining image processing, the U-Net model, YOLOv8 model, various CNN model architectures, and ensemble data statistics, our method was able to identify features related to AD and predict whether a patient has the disease. Our method can process a complete set of MR images and automatically extract important slices for prediction, making it practical for medical applications. Furthermore, we tested the accuracy and reliability of the method with additional datasets. © 2024 Copyright ACM.

关键词： Magnetic resonance imaging

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Two-Dimensional Positioning and Phase Synchronization System for Drone-Based Spatially Reconfigurable Phased Array

Two-Dimensional Positioning and Phase Synchronization System...

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IEEE Conference on Antenna Measurements & Applications (CAMA)

作者： Hsiang Cheng Sheng-Yeh Yang Tzu-Chun Su Yun-Ting Tsai Shih-Ming Huang Shih-Yuan Chen Graduate Institute of Communication Engineering National Taiwan University Taipei Taiwan Department of Electrical Engineering National Taiwan University Taipei Taiwan Department of Electrical and Computer Engineering University of California at Los Angeles California America

This paper presents a 2-D wireless ultrasound-microwave phase synchronization (UMPS) system for a Unmanned Aerial Vehicle (UAV) -based phased array. It is extended from its 1-D counterpart [6]. The UMPS system consists of multiple non-connected modules that operate in a leader-follower scheme for positioning and phase synchronization. The UMPS includes multiple non-connected modules that follow a leader-follower scheme for positioning and phase synchronization. The leader is the only reference point, to which followers locate their relative positions by Time-of-Flight (ToF) of ultrasound calibrated with microwave signal and synchronize its phase by on-board phase shifters. With a proper phase compensation, the UMPS modules can form a phased array with a 2D-variable spatial arrangement of antenna elements. In this work, the 2D-prototype UMPS exhibits a root-mean-square (RMS) positioning error at 9 mm and a 5.6° RMS phase error for synchronizing a 433 MHz continuous wave RF signal, which is satisfactory for forming a UAV-based phased array.

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Accessing Gender Bias in Speech Processing Using Machine Learning and Deep Learning with Gender Balanced Audio Deepfake Dataset

Accessing Gender Bias in Speech Processing Using Machine Lea...

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International Conference on Informatics and Computing (ICIC)

作者： Tricia Estella Amalia Zahra Wai-Keung Fung Computer Science Department BINUS Graduate Program – Master of Computer Science Bina Nusantara University Jakarta Indonesia Department of Engineering Cardiff School of Technologies EUREKA Robotics Centre Cardiff Metropolitan University United Kingdom

ISBN: (数字)9798331517601

ISBN: (纸本)9798331517618

The rapid advancement of AI has led to the rise of Audio Deepfakes (AD), which pose serious ethical and security concerns by accurately mimicking human speech. This research addresses the urgent need for effective AD detection, with a focus on gender bias that can reduce the effectiveness of detection models. We examined how gender affects the performance of both Machine Learning (Support Vector Machine, Random Forest, Logistic Regression, XGBoost) and Deep Learning (Deep Neural Networks, Convolutional Neural Networks) models using the GBAD dataset. Our findings show that models trained on female audio outperform those trained on male audio, likely due to the expressive nature of female voice features and high-pitched artifacts in FAKE audio. This highlights the need for more robust, gender-sensitive detection systems. Future work should focus on developing adaptive models to reduce gender bias, improving security, and creating lightweight models for wider public use.

关键词： Deep learning Support vector machines Deepfakes Adaptation models Logistic regression Computational modeling Security Speech processing Informatics Random forests

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3-D Positioning for Drone-Based Spatially Reconfigurable Phased Array

3-D Positioning for Drone-Based Spatially Reconfigurable Pha...

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IEEE Conference on Antenna Measurements & Applications (CAMA)

作者： Tzu-Chun Su Sheng-Yeh Yang Hsiang Cheng Yun-Ting Tsai Shih-Ming Huang Shih-Yuan Chen Department of Electrical Engineering National Taiwan University Taipei Taiwan Graduate Institute of Communication Engineering National Taiwan University Taipei Taiwan Department of Electrical and Computer Engineering University of California at Los Angeles Californica America

This study presents a 3D positioning method to enable precise phase synchronization among individual drones, which is the key for the drone-based spatially reconfigurable phased array [1]. The proposed system eliminates the dependency on GPS by enabling drones to locate each other as a cohesive unit. By employing a hierarchical structure consisting of leader and subleaders, coupled with an iterative method among drones, precise phase compensation is achieved.

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Constrained Sorter Design using Zero-One Principle

Constrained Sorter Design using Zero-One Principle

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Sangil Han Jaehee Kim Dongyun Kam Byeong Yong Kong Mijung Kim Young-Seok Kim Youngjoo Lee Department of Electrical Engineering POSTECH Pohang Korea Memory Business Samsung Electronics Hwaseong Korea Division of Electrical Electronic and Control Engineering Kongju National University Cheonan Korea Sports AIX Graduate Program POSTECH Pohang Korea

ISBN: (数字)9798350330991

ISBN: (纸本)9798350331004

To derive efficient sorting architectures constrained to application-specific input/output conditions, we present in this paper a systematic design methodology that can effectively prune dispensable compare-and-swap (CAS) units. Unlike the previous works resorting to heuristic approaches, the proposed framework exploits the zero-one principle to validate the pruning of a CAS unit at a time, generating the cost-optimized sorter architecture in an iterative manner with a reasonable complexity. In addition to the given input/output constraints, we newly develop the architecture options for the proposed framework, allowing more design spaces for finding the most attractive constrained-sorter design. For 8-list polar decoders, the proposed framework successfully reduces 70% of CAS units in the baseline full sorter, relaxing the area-time complexity by 35% compared with the state-of-the-art solutions.

关键词： Systematics Circuits and systems Design methodology computer architecture Hardware Complexity theory Decoding

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