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Brazilian Symposium on computing System Engineering (SBESC)

作者： Guilherme Goldschmidt Felipe André Zeiser Rodrigo Da Rosa Righi Cristiano André Da Costa Graduate Program in Applied Computing Universidade do Vale do Rio dos Sinos São Leopoldo Brazil

Over the past decade, there has been a steady increase in health security breaches. Therefore, healthcare organizations must protect their sensitive information such as test results, diagnoses, prescriptions, research, and customer personal information. A leak of sensitive data can result in significant economic loss and damage to the organization’s image. In this sense, Data Leakage Prevention (DLP) systems can help to identify, monitor, protect, and reduce the risks of leaking sensitive data. However, state-of-the-art DLP solutions only use signature comparisons and static comparisons. Therefore, we propose to develop the ARTERIAL model based on Natural Language Processing (NLP), Entity Recognition (NER), and Artificial Neural Networks (ANN) to be more assertive in extracting information and recognizing entities from Electronic Health Records (EHR). Different from the current literature, ARTERIAL considers semantic features present in the EHR. Three approaches were implemented and tested, two based on ANN and the following based on machine learning algorithms. As a result, the approach taken in its implementation using a machine learning algorithm reached 98.0% of Precision, 86.0% of Recall, and 91.0% of F1-Score.

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Investigating Cases and Clusters-Based Reuse Policies for Card-Playing Agents 5

Investigating Cases and Clusters-Based Reuse Policies for Ca...

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5th Annual IEEE Conference on Games, CoG 2023

作者： Paulus, Gustavo B. Vargas, Daniel P. Assuncao, Joaquim V. C. Silva, Luis A. L. Federal Institute of Education Science and Technology of Rio Grande do Sul Ibirubá Brazil Federal University of Santa Maria Graduate Program in Computer Science Santa Maria Brazil Federal University of Santa Maria Applied Computing Department Santa Maria Brazil

ISBN: (纸本)9798350322774

Computer games continue to present challenging experimental fields for developing Artificial Intelligence (AI) models. With Case-Based Reasoning and Clustering, this work proposes novel cases and clusters-based reuse criteria for implementing card-playing agents with diversified playing skills. Using the game of Truco, a common game in South America, we detail how game actions are reused from past cases selected as query answers for given game problems. In doing so, the majority rule, the probability-based lottery, the probability of victory, and the number of points won reuse policies are used to select a cluster of cases. Then these policies are also used to select game actions from the cases within the selected cluster. Investigating the combined exploration of reuse policies, experiments of different natures evaluate the performance of implemented Truco bots disputing matches against each other. Players in these tournaments are equipped with varied policies and use case bases constructed differently. © 2023 IEEE.

关键词： Case based reasoning

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A Committee of MLP with Adaptive Slope Parameter Trained by the quasi-Newton Method to Solve Problems in Hydrologic Optics

A Committee of MLP with Adaptive Slope Parameter Trained by ...

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International Joint Conference on Neural Networks

作者： Fabio Dall Cortivo Ezzat S. Chalhoub Haroldo F. Campos Velho Applied Computing Graduate Program (CAP) National Institute for Space Research (INPE) Sao Jose dos Campos Associated Laboratory for Computing and Applied Mathematics (LAC) National Institute for Space Research (INPE)

ISBN: (纸本)9781467314886

Artificial Neural Networks (ANNs) can be used to solve problems in Hydrologic Optics. A relevant problem is the estimation of the single scattering albedo and the phase function parameters, from the emitted radiation at the surface of natural waters. In this work we use a committee of ANNs of Multilayer Perceptron type to perform the estimation of the two mentioned parameters. The training of each network is formulated as a nonlinear optimization problem subject to constraints. In addition, each activation function has a distinct slope parameter, that is initially chosen by a random number generator function. This set of parameter (slopes) was included within the free variables network set in order to be adjusted to reach "optimal values", together with the weights and biases, during the network training. This procedure (slope parameters inclusion) makes each one of the activation functions to have a different slope. Each network that composes the committee was trained independently, in order to become expert for the estimation of only one of the hydrologic parameters. For the networks training, we used the quasi-Newton method that is implemented in E04UCF subroutine, in the NAG library, developed by the Numerical Algorithms Group - NAG. The use of the quasi-Newton method to train the networks together with the distinct slope parameters resulted in a network with a fast learning and excellent generalization. Once the networks were trained, they were grouped so to share the input patterns, but remained independent from one another. For the validation/generalization test we used two distinct sets. For all considered noise levels, we obtained 100% of correct answers for the first set, and above 90% of correct answers for the second set.

关键词： Artificial Neural Network Multilayer Perceptron Backpropagation Quasi-Newton Method Hydrologic Optics Phase Function Single Scattering Albedo Inverse Problems SLOPE FACTOR Newton method Slope parameter Artificial neural networks CSRP3 gene Network Optics hydrologic parameters Hydrology functional parameter Random Number Generators Activating function input mode

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Identifying Materials-Level Sources of Performance Variation in Superconducting Transmon Qubits

arXiv

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arXiv 2025年

作者： Murthy, Akshay A. Bal, Mustafa Bedzyk, Michael J. Cansizoglu, Hilal Chan, Randall K. Chandrasekhar, Venkat Crisa, Francesco Datta, Amlan Deng, Yanpei Matute Diaz, Celeo D. Dravid, Vinayak P. Garcia-Wetten, David A. Garattoni, Sabrina Ghimire, Sunil Goronzy, Dominic P. de Graaf, Sebastian E. Haeuser, Sam Hersam, Mark C. Isheim, Dieter Joshi, Kamal Kim, Richard Kolachina, Saagar Kopas, Cameron J. Kramer, Matthew J. Lachman, Ella O. Lee, Jaeyel Lim, Peter G. Lunin, Andrei Mah, William Marshall, Jayss Mutus, Josh Y. Oh, Jin-Su Pappas, David P. Park, Joong-Mok Prozorov, Ruslan dos Reis, Roberto Seidman, David N. Sung, Zuhawn Tanatar, Makariy Walker, Mitchell J. Wang, Jigang Wu, Haotian Zhou, Lin Zhu, Shaojiang Grassellino, Anna Romanenko, Alexander BataviaIL60510 United States Department of Materials Science and Engineering Northwestern University EvanstonIL60208 United States Rigetti Computing BerkeleyCA94710 United States Ames National Laboratory AmesIA50011 United States Department of Physics & Astronomy Iowa State University AmesIA50011 United States Department of Physics and Astronomy Northwestern University EvanstonIL60208 United States The NUANCE Center Northwestern University EvanstonIL60208 United States International Institute of Nanotechnology Northwestern University EvanstonIL60208 United States National Physical Laboratory TeddingtonTW11 0LW United Kingdom Department of Chemistry Northwestern University EvanstonIL60208 United States Department of Electrical and Computer Engineering Northwestern University EvanstonIL60208 United States Applied Physics Graduate Program Northwestern University EvanstonIL60208 United States Department of Materials Science and Engineering Iowa State University AmesIA50011 United States

The Superconducting Materials and Systems (SQMS) Center, a DOE National Quantum Information Science Research Center, has conducted a comprehensive and coordinated study using superconducting transmon qubit chips with known performance metrics to identify the underlying materials-level sources of device-to-device performance variation. Following qubit coherence measurements, these qubits of varying base superconducting metals and substrates have been examined with various nondestructive and invasive material characterization techniques at Northwestern University, Ames National Laboratory, and Fermilab as part of a blind study. We find trends in variations of the depth of the etched substrate trench, the thickness of the surface oxide, and the geometry of the sidewall, which when combined, lead to correlations with the T1 lifetime across different devices. In addition, we provide a list of features that varied from device to device, for which the impact on performance requires further studies. Finally, we identify two low-temperature characterization techniques that may potentially serve as proxy tools for qubit measurements. These insights provide materials-oriented solutions to not only reduce performance variations across neighboring devices, but also to engineer and fabricate devices with optimal geometries to achieve performance metrics beyond the state-of-the-art values. © 2025, CC BY.

关键词： Qubits

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U'Ductor: A Model for Supporting Ubiquitous Chronic Disease Care Management

U'Ductor: A Model for Supporting Ubiquitous Chronic Disease ...

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Simpasio em Sistemas Computacionais (WSCAD-SSC)

作者： Henrique Vianna Jorge Barbosa Cristiano Costa Adenauer C. Yamin Applied Computing Graduate Program-PIPCA UNISINOS Sao Leopoldo Brazil Computer Science-Polytechnic Center UCPEL Pelotas Brazil

Accordingly with the World Health Organization, heart disease, chronic respiratory diseases, cancer and diabetes are the most common chronic diseases and one of the leading causes of the mortality in the world. In such cases we need more than patient engagement to help to control of the disease, community and health organizations support is also desirable. These roles must support the patients' self-management activities, making them feel confident and motivated. This support can be accomplished by ubiquitous computing. The ubiquitous computing gives conditions to help chronic diseases patients in the management of their activities, offering support to them anytime, anywhere. In this context, this article presents U'Ductor, a model for supporting ubiquitous chronic care management, whose goal is to help the integration between patient and community resources. The U'Ductor gives a step forward in relation to the studied related works by integrating patients, community resources and community members. Those features were not completely explored in the studied works in the way we employ in U'Ductor. An implementation of the model was evaluated by a chronic patient, which gave a positive feedback about it.

关键词： Monitoring Middleware Biomedical monitoring Computational modeling Diseases Communities Diabetes

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Expert user discovery in a spontaneous social network an approach using knowledge retrieval

Expert user discovery in a spontaneous social network an app...

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International Conference on Computational Aspects of Social Networks, CASON

作者： Gustavo Freitas Cristiano da Costa Jorge Barbosa Rodrigo Righi Adenauer Yamin Applied Computing Graduate Program-PlPCA University of Vale do Rio dos Sinos Sao Leopoldo Brazil Graduate Program in Computer Science-PPGC Federal University of Pelotas Pelotas Brazil

Nowadays, we can observe that finding answers on social networks is a hard and time-consuming task. The main contribution of this article is the creation of a model and algorithm that allows users to find answers to their questions using a spontaneous social network called Mingle. This algorithm uses the Mingle ontology-based knowledge base to find expert users. To achieve this, two important steps are taken: Mingle ontology is updated to support user-oriented expertise and a detailed model is created for the given algorithm. This model was created considering other three similar applications and algorithms. Moreover, we used a semantic web framework. In the end, an evaluation using real-life scenarios is applied to evaluate if the created algorithm meets the initial goals.

关键词： Social network services

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Prior Experience as an Influencer in the Momentary User Experience: An Assessment in Immersive Virtual Reality Game Context

Prior Experience as an Influencer in the Momentary User Expe...

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Symposium on Virtual Reality (SVR)

作者： Ericles Andrei Bellei Daiana Biduski Láýs Andressa Brock Diego Inácio Patrício Jhônatan de Lima de Souza Ana Carolina Bertoletti De Marchi Rafael Rieder Graduate Program in Applied Computing (PPGCA) University of Passo Fundo (UPF) Passo Fundo Rio Grande do Sul Brazil

ISBN: (纸本)9781728106052

Excellence in user experience (UX) has become a leading factor in developing successful products. In the context of virtual reality (VR), UX evaluations can be effective methods for understanding the acceptability, potential, and success of a product. However, different audiences have different perceptions regarding UX and its facets. With this in mind, the aim of this study is to determine whether the existence of prior experience (PE) can beget significant influence on Momentary UX when wearing the HTC VIVE to interact with a VR game. To assess, we asked two groups of users with different PEs to participate in a VR game session with HTC VIVE. An evaluation framework of UX in games was used to determinate how different user's backgrounds can influence UX. From the results obtained, some considerations are presented about the factors that influenced UX, concluding that prior experience with VR technology does not significantly affect Momentary UX.

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An Improved Evolutionary Hybrid Method for Cloud Provider Selection

An Improved Evolutionary Hybrid Method for Cloud Provider Se...

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Brazilian Conference on Intelligent Systems (BRACIS)

作者： Lucas Borges de Moraes Adriano Fiorese Rafael Stubs Parpinelli Santa Catarina State University Joinville Brazil Graduate Program in Applied Computing Santa Catarina State University Joinville Brazil

Cloud computing (CC) popularization unleashed the creation and competition of a large number of new companies providing CC services, the so called Cloud Providers (CPs). Thus, select the smallest CP set with the lowest price that are the most suitable to a given request (customer's needs, such as demanded resources and desired service quality) becomes a hard problem. Nonetheless, robust search methods like metaheuristics ones are used to solve it, for instance Evolutionary Algorithms (EAs). Performance Indicators (PIs) were used to quantify features of each CP used later to select them using a method. This paper proposes an improved hybrid method which uses in sequence: a deterministic, an EA and a local search method to find the most suitable possible CP set in the solution search space. This hybrid method was tested and has the highest assertiveness among all others methods developed to solve this problem, becoming a promising solution to a real application.

关键词： Cloud computing Genetic algorithms Indexes Search methods Adaptation models Companies

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Exploiting multithreaded programming on cluster architectures

Exploiting multithreaded programming on cluster architecture...

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IEEE International Symposium on High Performance computing Systems and Applications (HPCS)

作者： O.C. Cordeiro D.S. Peranconi L.C.V. Real E.C. Dall'Agnol G.G.H. Cavalheiro Post-Graduate Program on Applied Computing Vale do Rio dos Sinos University São Leopoldo RS Brazil

The development of programs for parallel architectures focusing to achieve high indices of performance is a hard task. The programmer must deal with two classes of problems, one related to describing the application concurrency and data dependencies, and other related to exploiting efficiently the processing resources of the architecture, in order to obtain an efficient implementation for a specific hardware configuration. Since cluster technology allows building parallel computers are highly scalable - particularly in terms of number of nodes, processors and amount of memory - programming and execution levels must be considered independently to achieve performance portability. This paper presents Anahy, an environment for exploiting high performance computing on cluster architectures. It is highlighted the Anahy programming interface and some features of its implementation as well as a performance evaluation.

关键词： Concurrent computing Computer architecture High performance computing Parallel architectures programming profession Hardware Parallel machines Central Processing Unit Runtime environment Scheduling algorithm

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Adaptive optimal multi key based encryption for digital image security

Adaptive optimal multi key based encryption for digital imag...

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作者： Shankar, K. Lakshmanaprabu, S.K. Gupta, Deepak Khanna, Ashish de Albuquerque, Victor Hugo C. School of Computing Kalasalingam Academy of Research and Education Krishnankoil India B. S. Abdur Rahman Crescent Institute of Science and Technology Chennai India Maharaja Agrasen Institute of Technology Delhi India Graduate Program in Applied Informatics University of Fortaleza Fortaleza Brazil

The security of digital images is an essential and challenging task on shared communication Model. Generally, high secure working environment and data are also secured with an encryption and decryption method by using secret and public keys. In this paper, the innovative encryption technique for image security, ie, Multiple key-based Homomorphic Encryption (MHE) technique is proposed. For increasing the security level of encryption and decryption processes, the optimal key is selected using Adaptive Whale Optimization (AWO) algorithm. Fitness function was considered for optimization as PSNR of plain and cipher images. The original image was transformed into blocks and then rearranged utilizing encryption process, this work achieved maximum security, much better than other encryption techniques. From the outcomes, one can achieve incredible quality of the proposed model, the maximum PSNR, and the minimum MSE contrasted with other encryption schemes. © 2018 John Wiley & Sons, Ltd.

关键词： Cryptography

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