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IEEE International Conference on Software Architecture Workshops (ICSAW)

作者： Pedro Fiuza Linhares Pedro H. Gaya Wanderley Marza de Sousa Zaranza Maria Andréia Formico Rodrigues Nabor C. Mendonça Post Graduate Program in Applied Informatics University of Fortaleza Fortaleza CE Brazil Center of Technological Sciences University of Fortaleza Fortaleza CE Brazil Intensive Care Unit Hospital Instituto Dr. José Frota (IJF) Fortaleza CE Brazil Post Graduate Program in Applied Informatics/GIRA Lab University of Fortaleza Fortaleza CE Brazil

ISBN: (数字)9798331533366

ISBN: (纸本)9798331533373

This paper presents an event-driven cloud-based serverless architecture for a remote patient monitoring system. The architecture is designed to be scalable, resilient, and cost-effective, and leverages managed cloud services to handle load variations and service faults. To evaluate the architecture, we conducted comprehensive capacity, scalability, and resilience tests. The test results show that the architecture can meet the performance, scalability, and reliability requirements of a remote patient monitoring system. Additionally, a detailed analysis of operational costs in the cloud confirms the cost-effectiveness of the solution and highlights practical opportunities for improvements.

关键词： Cloud computing Patient monitoring Software architecture Scalability Computer architecture Load management Performance analysis Reliability Resilience Testing

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Investigating the computation of smoothed deceptive routes in topographic terrains for agent-based simulation systems

Investigating the computation of smoothed deceptive routes i...

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Computational Intelligence in Security, Defence and Biometrics (CISDB), IEEE Symposium on

作者： Luigi P. Souza Thiago R. S. Leão Crhistopher Lenhard Edison P. Freitas Luis A. L. Silva Graduate Program in Computer Science Federal Univ. of Santa Maria Santa Maria Brazil Undergraduate Course in Computer Science Federal Univ. of Santa Maria Santa Maria Brazil Institute of Informatics Federal Univ. of Rio Grande do Sul Porto Alegre Brazil Applied Computing Department Federal Univ. of Santa Maria Santa Maria Brazil

ISBN: (数字)9798331508296

ISBN: (纸本)9798331508302

The capacity to deceptively move in hilly terrains is fundamental to agents in simulation systems for tactical and strategic military training. Such an ability to deceive the adversary can ensure a relevant advantage by hiding the real goals of a mission. Using pairs of real and deceptive mission goals, this paper investigates the planning of realistic deceptive routes for simulated agents. With real-world terrain elevation maps, it shows how to explore pathfinding algorithms with relevant path-smoothing characteristics (Theta* and WJPS*, contrasting with the standard $A^{*}$ algorithm) in terrains with pronounced relief features. The study analyzes the effects of terrain elevation costs and the representation of relief contour lines on the determination of more realistic deceptive paths. This work also investigates how users can adjust a Last Topographic Deceptive Point ($L D P_{T}$) calculation to enhance the pathfinding algorithm’s ability to produce more deceptively dense and topographically aware routes. Experimental results for different deceptive topographic path planning strategies are evaluated according to statistical models showing that Theta*, despite being slower than the base $A^{*}$ method in most cases, generated smoothed paths while maintaining a similar deception density for the proposed strategies. On the other hand, WJPS outperformed both in execution time for certain strategies while maintaining the smoothed path characteristic and resulting in a path with lower deceptive capacity.

关键词： Training Hands Biometrics Costs Path planning Planning Security Standards Computational intelligence

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The effect of stereochemical constraints on the radius of gyration of folded proteins

arXiv

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arXiv 2025年

作者： Logan, Jack A. Sumner, Jacob Grigas, Alex T. Shattuck, Mark D. O'Hern, Corey S. Department of Mechanical Engineering Yale University New HavenCT06520 United States Graduate Program in Computational Biology & Biomedical Informatics Yale University New HavenCT06520 United States Integrated Graduate Program in Physical and Engineering Biology Yale University New HavenCT06520 United States Benjamin Levich Institute and Physics Department The City College of New York New YorkNY10031 United States Department of Applied Physics Yale University New HavenCT06520 United States Department of Physics Yale University New HavenCT06520 United States

Proteins are composed of linear chains of amino acids that fold into complex three-dimensional structures. A general feature of folded proteins is that they are compact with a radius of gyration Rg(N) ∼ Nν that obeys power-law scaling with the number of amino acids N in each protein and ν ∼ 1/3. In this study, we investigate the internal scaling of the radius of gyration Rg(n) versus the chemical separation n between amino acids for all subchains of length n. We show that for globular proteins Rg(n) ∼ nν1,2 with a larger exponent ν1 > 1/3 for small n and a smaller exponent ν2 g(N) ∝ Nν. To describe this scaling behavior for Rg(n), we carry out folding simulations for a series of coarse-grained models for proteins beginning with the freely-jointed and freely-rotating chain models composed of spherical monomers and varying degrees of stereochemical constraints. We show that a minimal model, which coarse-grains amino acids into a single spherical backbone atom and one variable-sized spherical side-chain atom, and enforces bend- and dihedral-angle constraints, can recapitulate Rg(n) for x-ray crystal structures of globular proteins. In addition, this model predicts the correct average packing fraction and size of the hydrophobic core, which are two key physical features that can be used to distinguish between computational 'decoys' and correctly folded proteins in protein design applications. © 2025, CC BY.

关键词： Spheres

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Drought propagation in an Andean basin in South America: a spatio-temporal analysis approach with monitoring indices

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Arabian Journal of Geosciences 2025年第3期18卷 1-21页

作者： Ocampo-Marulanda, Camilo Mera-Franco, Julián David Lizcano, Víctor Augusto Carvajal-Escobar, Yesid Canchala, Teresita Zorrilla-Millan, Daniel Felipe Caicedo-Bravo, Eduardo Water Resources Engineering and Soil Research Group (IREHISA) School of Natural Resources and Environmental Engineering Universidad del Valle Cali Colombia Graduate Program in Biometrics and Applied Statistics Department of Statistics and Informatics Federal Rural University of Pernambuco Recife Brazil School of Exact Sciences and Engineering Universidad Sergio Arboleda Bogotá Colombia Programa de Ingeniería Ambiental Facultad de Ingeniería Universidad Mariana Pasto Colombia School of Electrical and Electronic Engineering Universidad del Valle Cali Colombia

Drought is a climatic phenomenon that has increased in severity over time. This study analyzed drought spread in the Alto Patía basin (13,047 km2) in South America, applying the Standardized Precipitation Index (SPI), Vegetation Health Index (VHI), and Streamflow Drought Index (SDI) to assess meteorological, agricultural, and hydrological drought, respectively. Synchronous and asynchronous correlations were estimated, and Wavelet analysis was conducted to verify relationships among drought types. Results show that the lag between drought types varies based on the intensity, temporal continuity, and spatial extent of meteorological drought. A lag of zero months (1–2 months) was observed between meteorological and hydrological drought when moderate (severe) meteorological drought partially (fully) covers the basin. Agricultural drought, however, does not always correspond to meteorological drought during isolated rainfall events. As the first study in Colombia to systematically connect these drought types, this research addresses a gap in understanding how drought impacts progress across systems in regions with complex rainfall patterns. These findings offer critical insights into the interdependencies among drought types, supporting enhanced drought monitoring and early warning systems in similar climatic regions. By identifying specific lags between meteorological and hydrological droughts, this study provides practical guidance for land management, water conservation, and crop planning, offering a foundation for future research on drought resilience strategies.

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μ-brkga: A parallel biased random-key genetic algorithm applied to nesting problems 47

μ-brkga: A parallel biased random-key genetic algorithm app...

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47th International Conference on Computers and Industrial Engineering: How Digital Platforms and Industrial Engineering are Transforming Industry and Services, CIE 2017

作者： Amaro, Bonfim Pinheiro, Plácido Rogério Graduate Program in Applied Informatics University of Fortaleza Fortaleza Brazil

The Nesting Problems are a special class of cutting and packing (C&P) problems in which a set of items with arbitrary geometry must be positioned in a surface with a non-fixed length, aiming a minimization of the require area for allocation of all given demand. It is commonly applied in industries that operate in various types of manufacturers and exporters activities (e.g., shipbuilding, clothes, and glass). In this work, we propose a parallel biased random-key genetic algorithm with multiple populations (μ-BRKGA) to the Nesting Problems using a collision-free region (CFR) concept as position method, intending at a more efficient and fastest layout compaction to get "good" solutions. The problem layout of the proposed algorithm, a solution, is represented for placement order in the surface and the corresponding orientation. As the way of to evaluate our (μ-BRKGA) algorithm, computational tests using benchmark instances were applied, discussed and compared with different existing literature methods.

关键词： Genetic algorithms

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Task assignment to distributed teams based on a qualitative multi-criteria approach 12

Task assignment to distributed teams based on a qualitative ...

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12th Iberian Conference on Information Systems and Technologies, CISTI 2017

作者： Filho, Marum Simao Pinheiro, Placido Rogerio Albuquerque, Adriano Bessa Graduate Program in Applied Informatics University of Fortaleza / 7 de Setembro University Center Fortaleza Brazil Graduate Program in Applied Informatics University of Fortaleza Fortaleza Brazil

ISBN: (纸本)9789899843479

The high growth of companies in recent years has caused the transformation of local markets into global ones. The software industry is not stranger to this transformation and has been looking for effective ways to work in a distributed scenario. A critical activity in distributed projects concerns the assignment of tasks to remote teams. This is a multicriteria decision-making problem and can be supported by Verbal Decision Analysis approaches. This paper describes an approach based on Verbal Decision Analysis methods to aid decision on factors that influence the assignment of tasks to distrubuted teams. The approach is based on the ORCLASS and ZAPROS III-i methods. The first results showed that factors such as 'low turnover rate' and 'team maturity' are among those considered more important, and the factors 'personal trust', 'low labor cost', 'cultural similarities' and 'time zone' were considered less relevant in DSD context. © 2017 AISTI.

关键词： Decision making

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Requirements prioritization in market-driven software: A survey based on large numbers of stakeholders and requirements 10

Requirements prioritization in market-driven software: A sur...

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10th International Conference on the Quality of Information and Communications Technology, QUATIC 2016

作者： Dos Santos, Jorge Romulo Frota Albuquerque, Adriano Bessa Pinheiro, Placido Rogerio University of Fortaleza Graduate Program in Applied Informatics Fortaleza Ceará Brazil

ISBN: (纸本)9781509035816

The launch of commercial off-the-shelf (COTS) software on the market requires careful planning, which incorporates a requirements prioritization process. Although there are numerous prioritization techniques, few satisfy quality criteria such as scalability, efficiency and ease of use. This research presents a survey of COTS software requirements prioritization to be potentially used by thousands of users. The HCV (Hierarchical Cumulative Voting) requirements prioritization technique was addressed and applied through a web questionnaire directly to potential users. At the end, 80 respondents sent the questionnaire and a score of requirements in ratio scale of measurement was obtained. It was found that the technique applied can respond positively to the needs and characteristics of Market-Driven Software Development, in similar situations to those described. © 2016 IEEE.

关键词： Surveys

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Using a mobile app to improve performance of management of services orders and teams processes 15

Using a mobile app to improve performance of management of s...

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16th International Conference on Computer Systems and Technologies, CompSysTech 2015

作者： De Andrade, Paulo R. M. Albuquerque, Adriano B. Frota, Otávio F. Morais, Mirko A. N. University of Fortaleza Graduate Program in Applied Informatics Fortaleza CE Brazil Brazil

ISBN: (纸本)9781450333573

Manage the company process faster as possible and in the automated way has been one of the biggest challenges of the 21st century. Companies are constantly looking for the improvement of its processes in order to achieve a competitive advantage in the market and the reduction of internal costs. This challenge is particularly strong in government companies providing utility services to the population. The company Cagece (one basic sanitation company of the Brazilian government) know this problem and the difficulties it generated. In this paper, we present in a systematic way, a little about the problem, the suggested solution, and the results collected through the relationship disciplines of Software Engineering and BPM in order to show the innovation applied and to guide companies that search improvements in their processes. Copyright © 2015 ACM.

关键词： Human resource management

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An Analysis of UX Based on Users’ Emotional Intention and Values, Both Expressed Through Twitter Posts 1

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8th Workshop of Human-Computer Interaction Aspects to the Social Web, WAIHCWS 2017 and the 9th Workshop of Human-Computer Interaction Aspects to the Social Web, WAIHCWS 2018

作者： Furtado, Elizabeth S. Mendes, Marilia S. Oliveira, Denilson C. Lima, Lanna Graduate Program in Applied Informatics University of Fortaleza FortalezaCE Brazil RussasCE Brazil

ISBN: (数字)9783030461300

ISBN: (纸本)9783030461294

Texts written by users are often used in investigations of their experiences using a system. When users write about texts based on their own decisions, the texts are a rich context for User eXperience (UX) evaluation of such systems due to the users’ spontaneity. Usually, UX goals are evaluated in users’ texts, including their perception about the usability of the system. An UX analysis from the perspective of the user’s emotional intent and the expression of their personal or social values in the posts has not yet been performed. In this chapter, we analyzed the UX reported on users’ Twitter posts relating to these two perspectives. We identified significant correlations calculated from posts that express a particular level of emotional intention of the user and a certain social or personal value. All levels of emotion had a significant relationship with at least 2 of the 12 values analyzed. Results showed that these relationships from texts written by users are useful to analyze the UX of the posts. © 2020, Springer Nature Switzerland AG.

关键词： Human computer interaction

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A layer-building algorithm for the three-dimensional multiple bin packing problem: A case study in an automotive company

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IFAC-PapersOnLine 2015年第3期48卷 490-495页

作者： Saraiva, Rommel D. Nepomuceno, Napoleão Pinheiro, Plácido R. Graduate Program in Applied Informatics University of Fortaleza Av. Washington Soares 1321 - J30 Fortaleza 60.811-905 Brazil

The three-dimensional multiple bin packing problem (3D-MBPP) consists of packing a set of items into a number of bins with different dimensions so as to optimize a given objective function, e.g., minimize the number of bins used to pack the items. In this paper, we consider a real world 3D-MBPP with several cargo constraints that arises from an automotive maker. We propose an algorithm that first builds horizontal layers of identical items and then, according to different selection criteria, greedily generates packing patterns by loading one layer at a time. Computational experiments performed on benchmark instances are reported, and the results are compared to those achieved through a well-known constructive heuristic. © 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Combinatorial optimization

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