Indonesia will benefit from a demographic boom in 2030 with a higher labor supply than in earlier decades. Then in industrial revolution 4.0 robotics and artificial intelligence will take the place of low-skilled or m...
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Generalized-linear dynamical models (GLDMs) remain a widely-used framework within neuroscience for modeling time-series data, such as neural spiking activity or categorical decision outcomes. Whereas the standard usag...
This paper explores the Serverless First strategy in cloud application development. Serverless computing has gained popularity due to its flexibility and scalability. In our work, we provide a systematic review of the...
This paper explores the Serverless First strategy in cloud application development. Serverless computing has gained popularity due to its flexibility and scalability. In our work, we provide a systematic review of the literature about the Serverless paradigm in cloud computing and an evaluation of the advantages of this approach by performing a comparative analysis among three ways for the implementation of an application: AWS Lambda, AWS Lambda with Chalice framework, and the traditional form using the Flask framework. The literature review results show the gains in scaling, cost reduction, and ease of maintenance achieved with the Serverless First strategy. However, some limitations and challenges were also highlighted, such as the greater complexity of the environment, less control over resources, resource limitations imposed by the cloud provider, and difficulties in debugging and managing the infrastructure. The case study demonstrates in practice that the Chalice framework provided the most straightforward and rapid implementation, the AWS Lambda without Chalice offered greater flexibility and control, and the Flask version allowed local testing and total control but required more manual setup and lacked automatic scalability.
In-band network telemetry is a powerful framework for network monitoring. It allows the collection of telemetry data in real-time and provides network-wide visibility. However, depending on the routing of network flow...
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In-band network telemetry is a powerful framework for network monitoring. It allows the collection of telemetry data in real-time and provides network-wide visibility. However, depending on the routing of network flows and which telemetry data are collected, the network-wide visibility and the performance of monitoring applications may decrease. In this paper, we present the in-band network telemetry problem and extend the existing mathematical optimization models of the problem by proposing a new model that computes the routing of network flows. Results show that the new model outperforms existing models in term of network coverage and monitoring applications performance. The results of this work can be useful for network managers and enterprises to gain real-time insights into network performance.
Pupillometry measures pupil size, and several open-source algorithms are available to analyse pupillometry data. However, only a few studies compared these algorithms’ accuracy and computational resources. This study...
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The purpose of this study is to develop and investigate a new rough clustering based on optimization. We propose a restructured algorithm using only one variable, instead of the algorithm described using two variables...
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Exams are an important component of any educational program, including online education. In any test, there is a possibility of cheating, so its detection and prevention is important. This study aims to conduct an in-...
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This work aimed to study the onset of flocculation of asphaltenes using optical microscopy and to evaluate the effect of temperature on the destabilization of an unstable undisturbed American shale oil. After magnetic...
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This work aimed to study the onset of flocculation of asphaltenes using optical microscopy and to evaluate the effect of temperature on the destabilization of an unstable undisturbed American shale oil. After magnetic stirring for 24 h, the flocculated asphaltene was redispersed. Increasing the temperature to 40°C led to asphaltenes flocculating. After heating, the sample was cooled back to room temperature. We calculated the precipitate volume from microscopy data and found that after cooling the system had a larger precipitate volume than in the previously studied scenarios. When comparing the volumes of precipitates before and after cooling, it is possible to observe that the volume of smaller particles does not vary significantly in each class, but the volume of larger particles increases with cooling, indicating an irreversible phenomenon. Statistical analysis of the optical microscopy results allowed a detailed analysis of the phenomenon. To study the colloidal effect, a theoretical analysis was performed based on Hamaker theory and De Gennes scaling theory, presenting compatible results when the parameters of the repulsive term were adjusted. When the parameters of both the attractive term and the repulsive term of the model were kept constant, greater stability was verified with the increase of temperature. Conversely, it was observed that the reduction of the parameter related to the length of the alkyl chains can explain the experimental macroscopic behavior of the shale oil here studied and also some different behaviors reported in the literature, i. e., increasing of flocculated volume with increasing temperature. This size reduction of the length of the alkyl chains can be attributed to a desolvation effect. Hence, the appropriate parameterization of the model showed great potential to mimic the behavior of increasing and also decreasing stability with the increase of temperature. The sets of parameters were related to reaction-limited aggregation (RLA)
This paper consists of the structural design and analysis of a commercial office building with seventeen floors using a composite structure of steel and reinforcement concrete. The static and modal analysis of the str...
This paper consists of the structural design and analysis of a commercial office building with seventeen floors using a composite structure of steel and reinforcement concrete. The static and modal analysis of the structure was performed using SAP 2000 software. To this end, the initial design criteria were defined, and subsequently, the structural design was carried out, defining the structural system, the selection of the construction method and materials used, and the determination of the actions and combinations used. The steel decking slabs, dimensioned using the tables provided by the manufacturer, and the composite beams were verified in both the construction and final stages in accordance with current regulatory criteria, with consideration of the shear connectors in this final post-cure stage. For the analysis of the columns, geometric nonlinear analysis was incorporated to determine the stresses and displacements of the steel columns. The modal analysis of the structure provided the vibration modes, showing that the first and second modes have frequencies lower than 1 Hz, confirming the overall flexibility of the structure against wind actions. Finally, beam-beam and beam-column connections were designed. Thus, this article provides a detailed description of a practical application of the design and analysis of a composite steel and concrete structure, contributing to the advancement of technical and practical knowledge of design, technological innovation, structural safety and direct application in engineering projects.
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