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检索条件"机构=Graduate Program in Computing"

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Fine Tuning Swin Transformer Based Pretrained Model for Microscopic Fungi Images Classification 11

Fine Tuning Swin Transformer Based Pretrained Model for Micr...

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11th International Conference on Computer, Control, Informatics and its Applications, IC3INA 2024

作者： Anggara, Muchamad Galih Hindasyah, Ahmad Amda, Julfa Muhammad Waskita, A.A. Graduate Program of Informatics Engineering Universitas Pamulang Pamulang Indonesia Research Center for Computing National Research and Innovation Agency Cibinong Indonesia Research Center for Data and Information Sciences National Research and Innovation Agency Bandung Indonesia

ISBN: (纸本)9798331542313

Accurate image classification of microscopic pathogenic fungi is a challenge in the field of mycology. This study proposes a Swin Transformer-based approach to automate the identification process. The Swin Transformer model, known for its ability to capture complex spatial interactions, is adapted from ImageNet’s pre-trained model. The adaptation process is focused on fine-tuning the final classification layer to match the 5 classes of fungi present in the dataset. This classification layer is replaced by a new fully-connected layer that has the number of output according to the number of fungal classes. The weights on these layers are randomly initialized and trained in conjunction with several final convolutional layers. In addition, regularization techniques such as dropouts are applied to prevent overfitting. Adaptation using 5-fold cross-validation was carried out to find the best fold with hyperparameters including AdamW optimizer with a learning rate of 10−3, StepLR scheduler, batch size of 128 images, and a total of 9 epochs / iterations. After that, fine-tuning is carried out on the best fold with hyperparameters including AdamW optimizer with a learning rate of 10−5, StepLR scheduler, batch size of 32 images, and a total of 100 epochs / iterations. The final result showed excellent performance, with accuracy, precision, recall and an average F1-score of 95%. These results show the potential of the Swin Transformer in becoming an effective tool for mycologists. © 2024 IEEE.

关键词： Deep learning

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Vision-Based Landing Guidance Through Tracking and Orientation Estimation

Vision-Based Landing Guidance Through Tracking and Orientati...

引用

IEEE Workshop on Applications of Computer Vision (WACV)

作者： João P. K. Ferreira João P. Pinto Júlia Moura Yi Li Cristiano L. Castro Plamen Angelov Graduate Program in Electrical Engineering Universidade Federal de Minas Gerais School of Computing and Communications Lancaster University

ISBN: (数字)9798331510831

ISBN: (纸本)9798331510848

Fixed-wing aerial vehicles are equipped with functional-ities such as ILS (instrument landing system), PAR (precision approach radar) and, DGPS (differential global positioning system), enabling fully automated landings. How-ever, these systems impose significant costs on airport op-erations due to high installation and maintenance requirements. Moreover, since these navigation parameters come from ground or satellite signals, they are vulnerable to in-terference. A more cost-effective and independent alternative for guiding landing is a vision-based system that de-tects the runway and aligns the aircraft, reducing the pi-lot's cognitive load. This paper proposes a novel frame-work that addresses three key challenges in developing au-tonomous vision-based landing systems. Firstly, to over-come the lack of aerial front-view video data, we created high-quality videos simulating landing approaches through the generator code available in the LARD (landing approach runway detection dataset) repository. Secondly, in contrast to former studies focusing on object detection for finding the runway, we chose the state-of-the-art model Lo-RAT to track runways within bounding boxes in each video frame. Thirdly, to align the aircraft with the designated landing runway, we extract runway keypoints from the re-sulting LoRAT frames and estimate the camera relative pose via the Perspective-n-Point algorithm. Our experimental re-sults over a dataset of generated videos and original images from the LARD dataset consistently demonstrate the proposed framework's highly accurate tracking and alignment capabilities. Our approach source code and the Lo-RAT model pre-trained with LARD videos are available at https://***/jpklock2/vision-based-landing-guidance

关键词： Visualization Codes Accuracy Atmospheric modeling Pose estimation Video sequences Radar tracking Generators Aircraft navigation Global Positioning System

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An Energy-Efficient StEFCal VLSI Design with Approximate Squarer and Divider Units

An Energy-Efficient StEFCal VLSI Design with Approximate Squ...

引用

IEEE Latin American Symposium on Circuits and Systems (LASCAS)

作者： Morgana M. A. Da Rosa Patrícia Da Costa Guilherme Paim Eduardo Da Costa Rafael Soares Sergio Bampi Graduate Program on Computing Federal University of Pelotas (UFPel) Pelotas Brazil Graduate Program on Microelectronics Federal University of Rio Grande do Sul Porto Alegre Brazil Graduate Program on Electronic Engineering and Computing Catholic University of Pelotas Pelotas Brazil

Approximate computing attempts to maximize area and energy savings for a trade-off between quality and efficiency. This paper investigates the approximate squarer and divider units in the calibration procedure for radio astronomy called StEFCal (Statistically Efficient and Fast Calibration). The StEFCal circuit uses two squarer units from the literature, i.e., radix-4 (AxRSU) and SquASH, and iterative-based Newton-Raphson (NR) and Goldschmid (GLD) dividers. We demonstrate the efficiency of StEFCal using the approximate arithmetic operators from the Pareto-optimal that show the area- and power-quality trade-off. The results show that using the AxRSU combined with the NR divider improves the Mean Square Error (MSE) by 4.24%, with 58x more energy saving than the state-of-the-art.

关键词： Radio astronomy Circuits and systems Power quality Mean square error methods Very large scale integration Approximation algorithms Energy efficiency

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Energy-Efficient Watermarking System Through Approximate Discrete Haar Wavelet Transform

Energy-Efficient Watermarking System Through Approximate Dis...

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IEEE International Conference on Electronics, Circuits and Systems (ICECS)

作者： Thiago Rutz Morgana Da Rosa Rodrigo Lopes Eduardo Da Costa Rafael Soares Sergio Bampi Graduate Program on Computing - Federal University of Pelotas (UFPel) Pelotas Brazil Graduate Program on Electronic Engineering and Computing - Catholic University of Pelotas (UCPel) Pelotas Brazil Federal University of Rio Grande do Sul (UFRGS) Porto Alegre Brazil

ISBN: (数字)9798350377200

ISBN: (纸本)9798350377217

This work introduces a low-energy-driven watermarking system that employs the approximate discrete Haar Wavelet transform (AxDHWT) to insert watermark images into host images. Our contribution involves developing an energy-efficient AxDHWT watermarking system in VLSI hardware. Additionally, we present a model implemented in MATLAB, incorporating probability theory for accuracy estimation, along with extensive testing conducted under diverse attack scenarios. Logic synthesis (LS) results show that the AxDHWT watermarking system demonstrates low power and reduces area cost, featuring ten fewer arithmetic circuits than the current state-of-the-art. Remarkably, our AxDHWT-based architecture showcases reductions of $1.33\times$ in area and $2.88\times$ in energy consumption compared to the state-of-the-art system.

关键词： Salt Transform coding Watermarking Transforms Very large scale integration Speckle Energy efficiency Discrete wavelet transforms Testing Arithmetic

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Acceptance Analysis of IWB Systems in Education using UTAUT2 Model: The Moderating Role of Perceived Technological Innovations

Acceptance Analysis of IWB Systems in Education using UTAUT2...

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2023 IEEE International Conference on Automatic Control and Intelligent Systems, I2CACIS 2023

作者： De Jesus, Noelyn Castro, Eltimar T. Buyan, Cory Antonio Batangas State University College of Informatics & Computing Sciences Batangas Philippines Technological Institute of the Philippines Graduate Program Department Manila Philippines Ballard Power Systems Business Technology Burnaby Canada

ISBN: (纸本)9798350321302

Interactive Whiteboard (IWB) Systems are increasingly being used to replace traditional whiteboards in educational activities, making them more efficient and interesting for both teachers and students. However, no studies have been conducted to investigate how age, educational level, and employment status can impact the adoption and usage of IWB systems in the educational setting. The study aims to analyze the acceptance and the influencing factors on faculty members' intention and usage behavior towards IWB systems in teaching, utilizing the Modified-Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model. 135 faculty members from various colleges and departments across Batangas State University ARASOF-Nasugbu Campus were surveyed and data was analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) through SmartPLS software for hypotheses testing. The results of the study indicate that faculty members' behavioral intention to use interactive whiteboard systems in teaching is positively influenced by performance expectancy and social influence. Moreover, facilitating conditions and habit positively impact usage behavior. This study, therefore, concludes that there is significant roles of performance expectancy and social influence as well as the moderating effect of age on the behavioral intention to use interactive whiteboard (IWB) systems in education. Furthermore, the study confirms that effort expectancy, hedonic motivation, and status as moderating variables significantly influence faculty members' usage behavior when using IWB systems in teaching. © 2023 IEEE.

关键词： Economic and social effects

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Quality-Reconfigurable Approximate Multiplier Utilizing Select Leading One-Bit Blocks

Quality-Reconfigurable Approximate Multiplier Utilizing Sele...

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IEEE Latin American Symposium on Circuits and Systems (LASCAS)

作者： João M. Bedin Pedro T. L. Pereira Rodrigo N. Wuerdig Eduardo Da Costa Sergio Bampi Graduate Program in Microelectronics (PGMicro) - Federal University of Rio Grande do Sul (UFRGS) Porto Alegre Brazil Graduate Program in Electronic Engineering and Computing - Catholic University of Pelotas (UCPel) Pelotas Brazil

ISBN: (数字)9798331522124

ISBN: (纸本)9798331522131

Multipliers are essential for emerging technologies, as they are vital arithmetic circuits in many energy-efficient applications, such as digital signal processing and machine learning applications. Approximate multipliers (AxM) became an optimal option for applications in ASIC systems with error tolerance. This paper proposes to develop a run-time reconfigurable AxM with four approximation levels in a single circuit, evaluating accuracy and circuit metrics (e.g., circuit area, timing, and power consumption) based on the leading one-bit-based approximate (LoBA) multiplier. The results achieve a circuit area reduction of 52% less area and up to 27% less power consumption when compared with equivalent architecture based on LoBA state-of-art. Applying the proposed RLoBA to a normalized least mean square (NLMS) adaptive filter case study, we obtain 22.95% less power consumption using dynamic approximate level selection than the precise multiplier while maintaining the same accuracy level.

关键词： Measurement Power demand Accuracy Circuits Adaptive filters Machine learning Lead Timing Reconfigurable architectures Standards

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Exploring Heterogeneous Open Multi-Agent Systems on Cloud Using a Docker-Based Architecture*

Exploring Heterogeneous Open Multi-Agent Systems on Cloud Us...

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IEEE Symposium Series on Computational Intelligence (SSCI)

作者： Gustavo Lameirão de Lima Marilton Sanchotene de Aguiar Graduate Program in Computing (PPGC) Federal University of Pelotas (UFPel) Pelotas Brazil

In Open Multi-Agent Systems (OMAS), heterogeneous agents in varying environments or models can transition from one system to another, retaining their attributes and knowledge. This migration process results in an augmented development complexity compared to conventional Multi-Agent Systems. Additionally, the intricacy of this transition arises from uncertainties and dynamic behaviors associated with the agents' changes, necessitating the formulation of techniques to analyze this complexity and comprehend the system's overall behavior. To address these challenges, we employed Docker, which enables a flexible architecture that accommodates different programming languages and frameworks for the agents. This paper introduces a Docker-based architecture that aids OMAS development, facilitating agent migration between various models operating in heterogeneous hardware and software setups. To validate the proposed approach, we conducted simulations using NetLogo's Open Sugarscape 2 Constant Growback and JaCaMo's Gold Miners. These simulations were executed locally, in the cloud, and in a hybrid mode to assess the feasibility of the proposed architecture.

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Strengthening the Security of Deniable Authentication Scheme Using Zero-Knowledge Proof 11

Strengthening the Security of Deniable Authentication Scheme...

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11th International Conference on Communication and Network Security, ICCNS 2021

作者： Moesriami Barmawi, Ari Rizal Nurjaman, Asep Informatics Graduate Program School of Computing Telkom University Bandung Indonesia

ISBN: (纸本)9781450386425

In an electronic voting system, authentication is used to ensure that the voter is legitimate without knowing his/her identity, while the vote collectors verify the data is received from a legitimate user without knowing the identity of the voter. One of the authentication schemes that fulfilled this requirement is called a deniable authentication scheme, where the receiver can prove the source of the message while another party cannot identify the source of the message. In 2013, Li-Takagi et al. proposed a deniable authentication scheme. However, Li-Takagi's scheme has weaknesses if the receiver fully cooperates with the third party. In this case, the third party can identify the source of a given message. In the proposed method, zero-knowledge proof is introduced to preserve the anonymity of the deniable authentication scheme when the receiver fully cooperates with the third party. Based on the analysis, the proposed scheme fulfills the requirement of the deniable authentication scheme when the receiver fully cooperates with the third party. However, the proposed scheme has additional computation costs for securing the shared secret key. Two attack schemes that are carried out on both Li-Takagi and the proposed scheme are the MITM attack and the impersonation attack. The probability of breaking the proposed scheme using an MITM attack is lower than when using Li-Takagi's scheme, but the probability of breaking the proposed scheme using an impersonation attack is the same as Li-Takagi's scheme. © 2021 ACM.

关键词： Authentication

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An IoT Transport Architecture for Passenger Counting: A Real Implementation 17

An IoT Transport Architecture for Passenger Counting: A Real...

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17th IFIP/IEEE International Symposium on Integrated Network Management, IM 2021

作者： Kniess, Janine Rutke, Julio Cezar Castaneda, William Alberto Cruz Santa Catarina State University Graduate Program in Applied Computing Brazil

ISBN: (纸本)9783903176324

A smart urban mobility considers the technological-based development in transport systems, services and their use to improve the movement of people and goods inter or intra-cities. Cities increasingly face problems caused by traffic and need to find solutions to improve mobility and to reduce congestion and pollution. In this paper, we present a Passenger Counting Scheme into buses. Embedded counting algorithms based on Computer Vision are proposed to count passenger arrivals and departures in real time. Experiments in a real scenario expose that the proposed scheme achieved a high percentage of success in passenger count. © 2021 IFIP.

关键词： Smart city

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Computational Cost Analysis and Reduction of VVC Multiple Transform Selection 16

Computational Cost Analysis and Reduction of VVC Multiple Tr...

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16th IEEE Latin American Symposium on Circuits and Systems, LASCAS 2025

作者： Camargo, Caroline Silveira, Bianca Correa, Guilherme Federal University of Pelotas - UFPel Video Technology Research Group - ViTech Graduate Program in Computing - Ppgc Pelotas Brazil

ISBN: (纸本)9798331522124

The growing demand for high-definition online videos emphasizes the need for efficient video codecs like H.266/VVC, which offer significant compression potential. However, its implementation presents challenges, particularly in terms of computational cost, as is the case of the Multiple Transform Selection (MTS) tool. This study analyzes the performance of MTS modes, showing that explicit MTS improves coding efficiency but increases encoding time, while implicit MTS offers modest efficiency gains with less computational cost. A machine learning-based approach is proposed, using decision trees, to accelerate encoder decisions for both intra and inter predicted blocks in explicit MTS, reducing encoding time by an average of 7.98%, with only a 0.89% increase in BD-rate. These results highlight the potential for optimization of explicit MTS in both intra and inter transformations. © 2025 IEEE.

关键词： Multiresolution analysis

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