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...
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This Research Full Paper presents a method to select Learning Objects based on students' cognitive profiles, aiming to facilitate the explained content understanding and programming skills improve. STEM approach h...
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ISBN:
(数字)9781728189611
ISBN:
(纸本)9781728189628
This Research Full Paper presents a method to select Learning Objects based on students' cognitive profiles, aiming to facilitate the explained content understanding and programming skills improve. STEM approach has favored the programming skills development in Computer Science courses. Due to initial concepts complexity, many students find it difficult to understand this discipline, causing demotivation or course abandonment. We propose a method using Petri Nets formalism to select a Learning Object that addresses the subject being studied. Petri Nets are formal description techniques used to specify competing systems through graphical and mathematical modeling. Intelligent Agents are computer programs created to automate and perform a certain task or direct interaction with student and propose solutions considered appropriate, based on based on knowledge obtained during the interactions. This research uses the Petri Net to create an Intelligent Agent model, which chooses the Learning Object from answers obtained by applying VAK, an educational questionnaire and results obtained shown to be promising and method was well evaluated by students.
This study aims to address the common issue of biased estimation errors in time series modeling by analyzing the error in locating ideal hyperparameters and defining appropriate validation methods. Specifically, it fo...
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This research explores the analysis, design, and testing of a software application to support opioid peer specialists working to assist substance users, abusers, those in recovery, and their families. The paper presen...
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Nowadays, data has become an invaluable asset to entities and companies, and keeping it secure represents a major challenge. Data centers are responsible for storing data provided by software applications. Nevertheles...
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The use of Machine Learning techniques in battery-powered devices has increased in recent years. Therefore, evaluating power-accuracy trade-offs of inference models has become important. This work explores decision tr...
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ISBN:
(数字)9781728133201
ISBN:
(纸本)9781728133218
The use of Machine Learning techniques in battery-powered devices has increased in recent years. Therefore, evaluating power-accuracy trade-offs of inference models has become important. This work explores decision trees architectures, analyzing the effects of model complexity and approximation in power and accuracy. By quantizing the inputs to limited widths, we increased the accuracy of the models in up to 8.7% compared to precise cases. In terms of power, the variation in model complexity was more significant than in input width, as we obtained reductions of up to 97% by decreasing the tree depth, compared to 88% when decreasing the width.
Nowadays, current video coding standards like the High Efficiency Video Coding (HEVC) implement several complex coding tools, like the Fractional Motion Estimation (FME). An alternative to improve performance and save...
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ISBN:
(数字)9781728133201
ISBN:
(纸本)9781728133218
Nowadays, current video coding standards like the High Efficiency Video Coding (HEVC) implement several complex coding tools, like the Fractional Motion Estimation (FME). An alternative to improve performance and save power is allying the hardware acceleration with approximate computing solutions, focusing on such complex tools. In this work, we present a low-power and memory-aware hardware architecture for the HEVC FME interpolator, proposing the development of two novel hardware designs for the interpolation filters, called Approximate Unified FME Filters (AUFF). These solutions exploit the usage of approximate computing at both algorithmic and data levels, leading to a reduction in dissipated power and memory bandwidth. The proposed design is capable of real-time interpolation of UHD (Ultra High Definition) 4K and 8K videos when synthesized using a 40 nm standard-cell library, with a power dissipation ranging from 22.04 to 62.06 mW.
This full paper presents the Multi-Agent Recommendation System for Recommending Accessible Learning Objects developed to attend students with disabilities and professors' computation area. The system was proposed ...
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ISBN:
(数字)9781728117461
ISBN:
(纸本)9781728117478
This full paper presents the Multi-Agent Recommendation System for Recommending Accessible Learning Objects developed to attend students with disabilities and professors' computation area. The system was proposed based on the qualitative analysis of the questionnaires applied and answered by the professors of the area, to classify, organize and provide the most appropriate Learning Objects according to professors' preferences. In this way, the professor informs the type of impairment (visual, physical, hearing and/or cognitive), discipline and content, based on these requirements, receives the best recommendations of the intelligent agent. The methodology that we use is Multiagent Systems Engineering. The web page was developed using the Laravel Framework PHP, the data repository was created using the MySQL database, and to perform the implementation we used the Java Agent Development Framework. As a result of the research, we present a recommendation system of accessible learning objects using intelligent agents and communities of practice through the recommendation mechanism based on trust. The results obtained through the implementation of the system provide a new motivational practice trough accessible educational content, which contributes significantly to the teaching-learning process of the computation course and to inclusive education.
The elderly population has been increased due better health conditions and quality of life. With a healthier aging, the elderly start to have a more active and participative life in society. They pursue, among other t...
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ISBN:
(数字)9789895465903
ISBN:
(纸本)9781728167244
The elderly population has been increased due better health conditions and quality of life. With a healthier aging, the elderly start to have a more active and participative life in society. They pursue, among other things, to acquire new knowledge and despite being a generation which access to existing technology was restricted, there is an increase in the use of digital technologies, especially in the educational field. However, with advancing age, cognitive and motor skills decrease. Given this scenario, the creation of accessible didactic materials that include the elderly population is necessary. This paper shows a framework to create inclusive digital material for elderly learning. The framework will help teachers to create digital contents that support elderly learners' personalized educational goals.
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