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arXiv 2023年

作者： Taş, Demircan Sümer, Osman Istanbul Technical University Institute of Science and Technology Architectural Design Computing Graduate Program Turkey

Generative systems are becoming a crucial part of current design practice. There exist gaps however, between the digital processes, field data and designer's input. To solve this problem, multiple processes were developed in order to generate emergent and self-organizing design solutions that combine the designer's input with surface models acquired via photogrammetry and generative design tools. Different generative design methods were utilized for trials, including surface scattering based on UV coordinates, animation snapshots (similar to long exposure photography) and a particle swarm algorithm on arbitrary data, interpolated within GIS software. A large volume of adaptive forms that are complex, yet responsive to changes in parameters, user input, topography and/or various spatial data were acquired. Resulting outputs were rendered and projection mapped onto the original physical model and evaluated for further iterations. © 2023, CC BY.

关键词： Topography

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An Optimized VLSI Exponential Unit Design Exploring Efficient Arithmetic Operation Strategies

An Optimized VLSI Exponential Unit Design Exploring Efficien...

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

作者： Patrícia Da Costa Morgana Da Rosa Rafael Soares Eduardo Da Costa Sergio Bampi Graduate Program on Microelectronics Federal University of Rio Grande do Sul Porto Alegre Brazil 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 Graduate Program on Microelectronics (PGMICRO) Federal University of Rio Grande do Sul (UFRGS) Porto Alegre Brazil

This work presents an optimized exponential function VLSI hardware design by Taylor series expansion. The proposed architecture implements the exponential by approximating the logic design of a 4 th -order Taylor series and explores efficient CMOS arithmetic operation strategies. It implements a shift-based divider and explores an efficient 4-2 adder compressor in the adder tree. The proposal with a −7 to 11 input values range shows an output error of around 2% of MRED with a reduced energy consumption of 3.63 pJ/operation for 32-bit output. For a 64-bit output, the energy per operation of the VLSI exponential unit is 14.97pJ/op, being able to process a more comprehensive input range (i.e., −14 to 22) for a negligible mean output error of around 1.7% of MRED.

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Communication, Messages, Dialogues 28

Communication, Messages, Dialogues

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28th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2024

作者： Vieira Kritz, Maurício Faculty of Biology Medicine and Health University of Manchester ManchesterM13 9PT United Kingdom National Laboratory for Scientific Computing and Knowledge Diffusion Multi-institutional Multi-disciplinary Graduate Program RJ Petrópolis25651-75 Brazil

ISBN: (纸本)9781950492794

Communication is a cornerstone any social enterprise where knowledge is created and collectively cultivated, like it happens in science and culture. It is also the backbone of social systems or organisations that curate, maintain, and propagate knowledge. However, communication is presently an overloaded concept. This word refers to communication between human beings, as well as, to mass communication, communication with and between machines, among animals and plants. The present text describes yet another effort to better understand what communication is, whether it is an artificial product or a natural phenomenon, and what is its role in learning and knowledge construction, including non-human situations. Grounded on previous work that highlighted the importance of considering Shannon-Weaver channels as an artefact supporting interactions, I particularly examine the role of messages exchanged through a SW channel during communications. I also emphasise the relevance of fathoming the role of the message-set as well as how it is affected by learning, cross-disciplinary communication, and non-spontaneous multi-disciplinary collaborations. © 2024 by the International Institute of Informatics and Systemics. All rights reserved.

关键词： Collaboration Collective knowledge creation Communication Dialogues Explanations Messages

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Comparing Best and Quota Fragment Picker Protocols Applied to Protein Structure Prediction 20th

Comparing Best and Quota Fragment Picker Protocols Applied t...

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20th International Conference on Hybrid Intelligent Systems, HIS 2020 and 12th World Congress on Nature and Biologically Inspired computing, NaBIC 2020

作者： Will, Nilcimar Neitzel Parpinelli, Rafael Stubs UDESC Graduate Program in Applied Computing Santa Catarina State University Joinville Brazil

ISBN: (纸本)9783030730499

The use of fragment insertion in the protein structure prediction problem can be considered one of the most successful strategies to add problem-dependent information. The well known Rosetta suite provides two protocols for generating fragment libraries: Best and Quota. The first aims to maximize a given score function, while the second aims add fragment diversity. This paper presents the results with four proteins to verify the impact of using more secondary structure information through the quota protocol when compared to the best protocol. The tests were performed considering the PSIPRED, SPIDER2, and MUFold predictors. Results obtained are compared in terms of RMSD, processing time, and convergence. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Forecasting

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Method for improvement of transparency: Use of text mining techniques for reclassification of governmental expenditures records in Brazil

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International Journal of Business Intelligence and Data Mining 2021年第2期18卷 155-196页

作者： de Oliveira Almeida, Gustavo Revoredo, Kate Cappelli, Claudia Maciel, Cristiano Graduate Program in Business Federal Fluminense University Niteroi/RJ Brazil Graduate Program in Informatics Federal University of Rio de Janeiro State Rio de Janeiro/RJ Brazil Computing Institute Mato Grosso Federal University Cuiabá/MT Brazil

Many countries have transparency laws requiring availability of data. However, often data is available but not transparent. We present the Transparency Portal of Brazilian Federal Government case and discuss limitations of public acquisitions data stored in free text format. We employed text-mining techniques to reclassify descriptive texts of measurement units related to products and services. The solution presented in KNIME and Java aggregated measurements in the original (n = 69,372 with 78% reduction in number of descriptions, 94% items classified) and in cross validation sample (n = 105,266 with 88% reduction, classifying 78% of items). In addition, we tested computational time for processing of texts for a wide range of data input sizes, suggesting the stability and scalability of the solution to process larger datasets. Finally, we produced analysis identifying probable input errors, suppliers and purchasing units with abnormal transactions and factors affecting procurement prices. We present suggestions for future research and improvements. Copyright © 2021 Inderscience Enterprises Ltd.

关键词： Transparency

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Alternative Reference Samples to Improve Coding Efficiency for Parallel Intra Prediction Solutions

Alternative Reference Samples to Improve Coding Efficiency f...

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IEEE Latin American Symposium on Circuits and Systems (LASCAS)

作者： Iago Storch Nuno Roma Daniel Palomino Sergio Bampi Graduate Program in Computing Institute of Informatics Federal University of Rio Grande do Sul Porto Alegre Brazil INESC-ID Instituto Superior Técnico Universidade de Lisboa Lisboa Portugal Video Technology Research Group Graduate Program in Computing Federal University of Pelotas Pelotas Brazil

Exploring massive parallelism is a common strategy to mitigate the processing time of modern video encoding standards. Nonetheless, the existing data dependencies in some encoding tools pose difficult challenges to exploit such parallelism, especially during intra prediction, where the reconstructed adjacent blocks are used as references. Although some works made use of different reference samples to allow block-level parallelism in intra prediction, their proposals do not consider the variations caused by different bitrates, leading to some degradation in the output sequence. To deal with multiple bitrates more properly, this work proposes the application of image smoothing techniques to generate alternative reference samples that better represent the nuances of different bitrates. Experimental validations demonstrate that these improved references provide coding efficiency gains while still offering an equivalent parallelization opportunity.

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A Machine Learning Approach for the Identification of Learners' Misconceptions in Algebraic Problem-Solving

A Machine Learning Approach for the Identification of Learne...

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International Conference on Advanced Learning Technologies (ICALT)

作者： Joice Cazanoski Gomes Patricia A. Jaques Graduate Program in Informatics (PPGInf) Universidade Federal do Paraná (UFPR) Curitiba Brazil Graduate Program in Computing (PPGC) Universidade Federal de Pelotas (UFPEL) Pelotas Brazil

Misconceptions play a significant role in the learning process as they reflect an inaccurate understanding of a particular concept. Error diagnosis can help teachers and intelligent learning environments determine the most appropriate type of student assistance. Previously, misconceptions were identified using rule-based expert systems (bug libraries) and clustering algorithms. Bug libraries demand extensive work from developers to identify all potential misconceptions and code rules for each one in advance. Additionally, these solutions cannot detect misconceptions for which rules were not explicitly programmed. Clustering-based solutions overcome these drawbacks by automatically identifying misconceptions based on students' most common errors. To effectively and efficiently identify misconceptions, clustering solutions must have a suitable representation of the problem and its steps, and employ machine learning algorithms capable of discerning patterns from them. This paper proposes a solution that utilizes expression trees to represent algebraic problem-solving steps and the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm to identify misconceptions by clustering similar errors in a database containing 1064 steps from 112 students. This database was collected from an intelligent learning system designed to assist in solving first-degree equations. In our final solution, a Natural Language Processing tokenizer was employed to represent each term numerically, which identified 178 homogeneous clusters with minimal noise and few outliers.

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Aedes Aegypti Egg Classification Model Using Support Vector Machine 15

Aedes Aegypti Egg Classification Model Using Support Vector ...

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15th International Conference on Computer Research and Development, ICCRD 2023

作者： Gumiran, Cherry R. Fajardo, Arnel C. Medina, Ruji P. Dao, Minh S. Gumiran, Joel M. Graduate Program Technological Institue of the Philippines Quezon City Philippines Isabela State University Cauayan College of Computing Studies Information and Communications Technology Philippines Graduate Prgram Technological Institue of the Philippines Quezon Philippines National Institute of Information and Communications Technology Big Data Integration Research Center Tokyo Japan

ISBN: (纸本)9781665487504

Aedes aegypti is the dengue fever vector, affecting 3.9 billion people worldwide. Found primarily in subtropical areas such as the Philippines. Numerous approaches and procedures had used to identify this disease carrier throughout its life cycle. However, recognizing it early, primarily during the egg stage, helps monitor the disease carrier's existence. On the other hand, classifying the egg remains an issue due to its resemblance to another mosquito species. As a result, extracted traits of the Aedes egg had added to the classification model. Furthermore, the Support Vector Machine algorithm's effectiveness as a classifier improves classification accuracy, mainly when the feature extracted has been added. Thus, this paper used the Support Vector Machine in designing a model to classify Aedes aegypti eggs. This model differentiates it from non-Aedes with a classification accuracy of 98.23%, which is greater than the classification accuracy compared to previous studies using the pixel and region-based method. In addition, the newly developed model had increased accuracy compared to the model in which the features had omitted from the classification process by 3.26 percent. In addition, the model was validated on a non-Aedes dataset in which it exhibited similar characteristics. As a result, the model reveals improved categorization and is determined to be non-Aedes. Thus, this model demonstrates a considerable boost in classification accuracy. © 2023 IEEE.

关键词： Support vector machines

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Cross-Platform Neural Video Coding: A Case Study

arXiv

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arXiv 2024年

作者： Conceição, Ruhan Porto, Marcelo Peng, Wen-Hsiao Agostini, Luciano Graduate Program in Computing Federal University of Pelotas Brazil Departament of Computer Science National Yang Ming Chiao Tung University Taiwan

In this paper, we first show that current learning-based video codecs, specifically the SSF codec, are not suitable for real-world applications due to the mismatch between the encoder and decoder caused by floating-point round-off errors. To address this issue, we propose the static quantization of the hyper prior decoding path. The quantization parameters are determined through an exhaustive search of all possible combinations of observers and quantization schemes from PyTorch. For the SSF codec, when encoding and decoding on different machines, the proposed solution effectively mitigates the mismatch issue and enhances compression efficiency results by preventing severe image quality degradation. When encoding and decoding are performed on the same machine, it constrains the average BD-rate increase to 9.93% and 9.02% for UVG and HEVC-B sequences, respectively. © 2024, CC BY-NC-SA.

关键词： Encoding (symbols)

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A FBMC based ISDB-Tb Digital TV Frame Proposal 4

A FBMC based ISDB-Tb Digital TV Frame Proposal

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4th International Conference on Electrical, Computer and Communication Technologies, ICECCT 2021

作者： Almeida, Jefferson Jesus Hengles Lopes, Paulo Batista Akamine, Cristiano Mackenzie Presbyterian University Graduate Program in Electrical Engineering and Computing São Paulo Brazil

ISBN: (纸本)9781665414807

Nowadays, one of the challenges of communications systems is to enhance spectrum utilization and data rate without robustness loses. This situation is more perceptive in digital television applications, since there is a constant need of providing better experiences to the users with the transmission of higher resolution videos. In this context, novel approaches for the physical layer of such systems are subject of intense research, including investigation on the effect of replacing the Orthogonal Frequency Division Multiplexing (OFDM) technique currently used by other modulation schemes such as Filter Bank Multi Carrier (FBMC). This article presents a novel FBMC based frame implementation for the Integrated Services Digital Broadcasting Terrestrial Version B (ISDB-TB), developed as a software defined radio (SDR). The results show the robustness and rate gains of FBMC and prove that ISDB-TB frame can be modified to enhance the performance in Digital TV applications. © 2021 IEEE.

关键词： Digital television

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