Showing papers by "Jorge Luis Victória Barbosa published in 2022"
TL;DR: In this article , the authors used a systematic mapping methodology to encompass 15081 works related to four smart grid technologies: data analysis, edge computing, IoT, and context awareness, and found that most papers use one to three approaches, while only two use all four technologies.
10 citations
TL;DR: In this paper, a systematic literature review is presented to investigate studies regarding technologies employed in the care of worker's mental health and the industrial role in this scenario, highlighting the academic progress of industrial concern on mental health, implemented systems and cases, and research challenges.
9 citations
TL;DR: In this paper , a systematic mapping of the literature involving executive functions, motor development, and the use of digital games in intervention programs for elementary school children from 6 to 11 years old was presented.
Abstract: Studies show that executive functions and motor development are associated with each other and with learning ability. A more technological lifestyle combined with digital culture should be considered a viable alternative to stimulate children’s development. Therefore, this study aimed to present a systematic mapping of the literature involving executive functions, motor development, and the use of digital games in intervention programs for elementary school children from 6 to 11 years old. Four databases were researched: PubMed, Scielo, Science Direct, and SCOPUS, including publications between 2012 and March 2021. The initial results indicated 4881 records. After the selection process, 15 manuscripts that presented the central theme of the study were selected. The main results indicated that intervention strategies are rather heterogeneous. Most of the studies demonstrated efficient results after intervention protocols, many of them were conducted in Europe, and 46% occurred in a school environment. No research was identified involving technological solutions using executive functions, motor development, and digital games in an integrated manner. Hence, this constitutes a field of future scientific research.
5 citations
TL;DR: In this article , a multi-analyte method for identification and quantification of 23 regulated and emerging mycotoxins was developed in maize samples by ultra high-performance liquid chromatography coupled to tandem mass spectrometry (UHPLC-MS/MS).
Abstract: A multi-analyte method for identification and quantification of 23 regulated and emerging mycotoxins was developed in maize samples by ultra high-performance liquid chromatography coupled to tandem mass spectrometry (UHPLC-MS/MS). Several extraction methodologies were evaluated, including solid-liquid extraction (SLE), solid-phase extraction (SPE), and modified QuEChERS (Quick, Easy, Cheap, Effective, Rugged, and Safe) protocols. The final method consisting of an extraction by QuEChERS using C18 sorbents, was in-house validated in terms of linearity, repeatability, reproducibility, recovery, Limits of Detection (LOD) and Limits of Quantification (LOQ). Acceptable performance characteristics were obtained according to specific and general European regulations for regulated and emerging mycotoxins, respectively. The developed method proved to be specific and selective for all mycotoxins, with LODs and LOQs lower than 21.10 and 37.49 ng g−1, respectively; and recoveries ranging from 55.25 to 129.48% with precisions, expressed as relative standard deviations, below 15.03%. The method was successfully applied to real maize samples.
4 citations
TL;DR: In this paper , a systematic literature mapping about the use of contextual information to identify affective states was presented, which covered articles published between 2010 and October 2021, resulting in 1.638 studies.
Abstract: Abstract Studies indicate the growth and relevance of systems that can recognize affective states in the most different areas. A tendency to more natural environments could be noticed that considering physical or physiological signs and the individual’s relationship with the environment, other people, and daily activities. Therefore, what is the importance of combining ubiquitous computing, affective computing, and the contributions of context-aware information to provide more accurate and intelligent affective systems? This study presents a systematic literature mapping about the use of contextual information to identify affective states, which covered articles published between 2010 and October 2021, resulting in 1.638 studies. After applying filters, which we explain further in this article, we selected 49 works to answer a set of research questions. The results indicate that physiological data was the main parameter for recognizing affective signs (62.3%, 33/53), followed by visual data (32.1%, 17/53). The links between context and affective signs presented a more significant occurrence in the combination of contexts related to activities and physiological data (34%, 18/53).
4 citations
TL;DR: The Sapientia smart campus model promotes flexibility by facilitating the incorporation of new solutions on existing infrastructure as discussed by the authors , which is composed of layers that facilitate technology management and update, and allows the integration of new hardware and applications on the existing infrastructure.
Abstract: The expansion of Internet-of-Things and Information and Communication Technology allows the application of intelligent concepts to university campus spaces. Several Smart Campus models were implemented recently. However, solutions that foster flexibility in the incorporation of new hardware and software solutions on the existing infrastructure are still a gap, motivating this research. Sapientia smart campus model promotes flexibility by facilitating the incorporation of new solutions on existing infrastructure. The model’s architecture is composed of layers that facilitate technology management and update. A university campus received a model implementation, allowing the execution of experiments to evaluate the incorporation of new hardware and applications. These included a mobile application to support user orientation and internal applications to collect and process campus information, such as temperature. The experiments show how the model incorporates a new hardware component and two new applications on the existing infrastructure. Also, it evidenced the use of the installed devices in more than one application with distinct configurations and purposes.
3 citations
TL;DR: Nhatos is proposed, a computational model for ubiquitous requirements management that analyses context histories of projects to recommend reusable requirements and achieves more than 70% stakeholder acceptance of the recommendations.
Abstract: The growing technological advance is causing constant business changes. The continual uncertainties in project management make requirements engineering essential to ensure the success of projects. The usual exponential increase of stakeholders throughout the project suggests the application of intelligent tools to assist requirements engineers. Therefore, this article proposes Nhatos, a computational model for ubiquitous requirements management that analyses context histories of projects to recommend reusable requirements. The scientific contribution of this study is the use of the similarity analysis of projects through their context histories to generate the requirement recommendations. The implementation of a prototype allowed to evaluate the proposal through a case study based on real scenarios from the industry. One hundred fifty-three software projects from a large bank institution generated context histories used in the recommendations. The experiment demonstrated that the model achieved more than 70% stakeholder acceptance of the recommendations.
2 citations
TL;DR: In this paper, a set of spectral near infrared (NIR) data from 60 beer samples and its primitive extracts as the original concentration was used to improve performance in variable selection and develop predictive models for beer quality control.
2 citations
TL;DR: In this paper , a model based on the hypothesis that the ubiquitous availability of mobile devices and the massive usage of these devices have created an opportunity of identifying behavior, supporting the management of neuropsychiatric disorders.
Abstract: Neuropsychiatric disorders represent a great economic and social burden, whose estimates range from 14% to 32% of the global burden of diseases. One in four people suffer from mental disorders during their lifetime and the estimates of people suffering from depression and some type of neuropsychiatric disorder are about 322 million and 420 million, respectively. Therefore, this paper presents Eigenroutines, a model based on the hypothesis that the ubiquitous availability of mobile devices and the massive usage of these devices have created an opportunity of identifying behavior, supporting the management of neuropsychiatric disorders. The model is also capable of building psychiatric epidemiological profiles, using context histories. The model evaluation occurred in three steps, where the first confirmed that the model has the ability to identify and distinguish neuropsychiatric disorders, analyzing context histories from a group of 55 individuals, composed of 23 people with unipolar or bipolar depression and 32 healthy people. The model presented an accuracy of 78% for classifying the routine of an individual in depressed or healthy. The second step evaluated the extraction of epidemiological profiles based on context histories from 1066 individuals stored by the platform. Finally, the last step evaluated the limitations of the model regarding temporal complexity and scalability.
2 citations
TL;DR: The Sapientia smart campus model promotes flexibility by facilitating the incorporation of new solutions on existing infrastructure as mentioned in this paper , which is composed of layers that facilitate technology management and update, and allows the integration of new hardware and applications on the existing infrastructure.
Abstract: The expansion of Internet-of-Things and Information and Communication Technology allows the application of intelligent concepts to university campus spaces. Several Smart Campus models were implemented recently. However, solutions that foster flexibility in the incorporation of new hardware and software solutions on the existing infrastructure are still a gap, motivating this research. Sapientia smart campus model promotes flexibility by facilitating the incorporation of new solutions on existing infrastructure. The model’s architecture is composed of layers that facilitate technology management and update. A university campus received a model implementation, allowing the execution of experiments to evaluate the incorporation of new hardware and applications. These included a mobile application to support user orientation and internal applications to collect and process campus information, such as temperature. The experiments show how the model incorporates a new hardware component and two new applications on the existing infrastructure. Also, it evidenced the use of the installed devices in more than one application with distinct configurations and purposes.
1 citations
07 Nov 2022
TL;DR: This work proposes a model for movement analysis, repetition count, and movement correction in physical exercises using HPE, and demonstrates that the application is able to analyze the biomechanics of movement, responding with speed and precision to execution errors.
Abstract: Human pose estimation (HPE) is an important field of computer vision that aims to predict poses of individuals from videos and images. It has been used in many different areas including human-computer interaction, motion analysis, surveillance, action prediction, action correction, augmented reality, virtual reality, and healthcare. Executing movements correctly is crucial in all kinds of physical activities, both to increase performance and reduce risk of injury. HPE is poised to help athletes better analyse the quality of their movements. This work proposes a model for movement analysis, repetition count, and movement correction in physical exercises using HPE. For this purpose, a study is carried out in the field of HPE applied to sports and another study is focused on HPE for correction and postural analysis. From this, it is verified what is the state of the art in HPE for physical exercises and what is the best method for analyzing movements. This work implements an application with improvements in respect to other related work, focusing mainly on the feedback presented to the user when performing a certain movement. To validate the proposed model, a quantitative research was carried out using the Unified Theory of Acceptance and Use (UTAUT). For both people who exercise and professionals in the field of physical education, the results demonstrate that the application is able to analyze the biomechanics of movement, responding with speed and precision to execution errors. Among other results are: user satisfaction, interest in using the application in the future, and agreement in relation to good performance in helping and analyzing physical exercises.
TL;DR: In this paper , a model for diagnosing Doença de Alzheimer (DA) was presented, based on a método de pesquisa experimental, to find soluções that minimizem seu impacto no acompanhamento diário dos pacientes.
Abstract: Este artigo apresenta um modelo que considera dados fisiológicos recebidos de aplicativos externos, que possibilitam a identificação de possíveis comportamentos perigosos de pacientes com a Doença de Alzheimer (DA). A principal contribuição científica deste trabalho é a especificação de um modelo com foco na DA a partir da análise de Históricos de Contextos e Predição de Contextos. O modelo proposto DCARE é baseado no método de pesquisa experimental, para entender a doença e encontrar soluções que minimizem seu impacto no acompanhamento diário dos pacientes. De modo complementar, foi desenvolvido um simulador, que gera datasets para realizar testes do modelo, além de ser proposta uma ontologia para o tratamento de contextos na temática do Alzheimer. Este artigo consiste em uma versão estendida do trabalho publicado no Simpósio Brasileiro de Sistemas de Informação (SBSI) em 2021. Os cenários utilizados na construção do modelo foram elaborados a partir de entrevistas com cinco especialistas no atendimento a pacientes com DA. Os testes foram realizados com a massa de dados com 1026 amostras geradas pelo simulador proposto por este trabalho. Os resultados revelaram que as previsões dos cenários do modelo atingiram o objetivo do trabalho, obtendo 97,44% de acurácia.
16 May 2022
TL;DR: A computational model named ESMeRA is presented to aid in applying the Experience Sampling Method (ESM) and can feasibly support applying the ESM to collect students’ experiences.
Abstract: Context: Technological transformations drive the growth of online classrooms and present both opportunities and challenges for understanding students’ experiences in the learning process. The Experience Sampling Method (ESM) allows capturing these experiences as they occur and can be used to understand better the factors that influence the learning process. Problem: Although the ESM has advantages compared to other collection methods, such as reducing cognitive bias, it is still not widespread in the Education area. In addition, it was observed in the literature the lack of tools to support the application of the ESM. Solution: The article presents a computational model named ESMeRA to aid in applying the ESM. The model includes aspects to provide computational support for the preparation, collection, and analysis of the experiences collected from the participants. IS Theory: The work was carried out following the Design Theory. Also, the foundations of the Unified Theory of Acceptance and Use of Technology (UTAUT) were mainly employed to evaluate the artifact’s user intent. Method: This work adopted the Design Science Research (DSR) method. A literature review on ESM allowed the problem awareness, and a prototype of the artifact was developed and positively evaluated by five experts. Contributions and Impact in the IS area: The contribution of this work is twofold. First, the developed model can feasibly support applying the ESM to collect students’ experiences. The practicality of the model also helps disseminate the method. Second, the work aims to address the IS challenge of understanding the students’ experiences in their learning process.
TL;DR: In this article , the authors proposed a model for traceability of agrochemicals with reliable and immutable information coming from various sensors, solving problems of unreliable traceability, product theft, and product tampering.
Abstract: Agrochemicals are products that, due to their hazardous nature and high cost, need to be monitored. The management of agrochemical packaging is generally precarious, and the supply chain needs more control due to its reverse characteristic. Traceability in the supply chain usually uses one sensor and not a combination of multiple sensors. The proposed model allows one to trace agrochemicals with reliable and immutable information coming from various sensors, solving problems of unreliable traceability, product theft, and product tampering. Unlike related work, this model contributes with a proposal segmented in modules that focus on security and scalability in controlling used packaging. In this case, the proofs of concept indicate detection of the opening movement of the safe cabinet from 5 lux (unit of illuminance) and movement of packages after a radius of 2 cm, and the data sending time between the model layers was around 1 second. The positive aspects are benefits for detecting intact products and packages openly within the production process and persistently; other benefits include better use of assets and management of the production chain, real-time production data collection, classification, grouping, and prediction of events. Monitoring the packaging reverse chain and the possibility of transaction auditing. Benefits include better use of assets and management of the production chain, real-time production data collection, classification, grouping, and prediction of events generated by the production operation, and persistence of this information for future transactions and audits. Farmers and society benefit from making production and supply chains cleaner and safer and reducing the risk of costly and environmental accidents. This article is protected by copyright. All rights reserved.
TL;DR: In this article , the authors describe the human phenotype through the lens of computational range and review state-of-the-art computational phenotyping, addressing technical, managerial, and ethical challenges.
Abstract: The interest in human phenotypes has leveraged interdisciplinary efforts encouraging a better understanding of the broad spectrum of psychological and behavioral disorders. Moreover, the usage of mobile and wearable devices along with unobtrusive computational capabilities provides an extensive amount of information that allows the characterization of phenotypes. This article describes the human phenotype through the lens of computational range and reviews state-of-the-art computational phenotyping. Furthermore, the article discusses computational phenotyping’s extension concerning the combination of intelligent environments and personal mobile devices, addressing technical, managerial, and ethical challenges. This combination reinforces ubiquitous computational capabilities for phenotyping as a facilitator of interdisciplinary information convergence in favor of clinical and biomedical research.
16 Nov 2022
TL;DR: XPCodeHub as mentioned in this paper is a gamificação model for aprendizado programações através of trilhas de conhecimento.
Abstract: A programação de computadores é uma habilidade estratégica, mas as dificuldades para o seu aprendizado costumam influenciar o engajamento dos alunos. Nesse cenário, a gamificação surge como uma alternativa que permite estimular o aprendizado de programação. Este artigo propõe o XPCodeHub, um modelo de sistema gamificado para o aprendizado de programação através de trilhas de conhecimento. As trilhas são criadas por meio de uma combinação de elementos de gamificação, como objetivos, níveis e progressão, e possibilitam guiar e motivar os alunos em seu processo de aprendizado. Uma avaliação de usabilidade foi conduzida através do modelo TAM, envolvendo 10 usuário e indicou altos índices de facilidade de uso (96%) e utilidade percebida (94%).
18 Jul 2022
TL;DR: The first single-source MODSP (SMDSP) approach is presented as a first effort towards solving MODSP problems while avoiding the recomputation of the paths from scratch when the graph is updated and the results prove that in an environment subjected to constant updates, the SMDSP algorithm is more efficient.
Abstract: Multi-objective decision-making and dynamic short-est paths are two areas of research widely studied and of great importance for computer science, engineering, and economics. Both areas have seen a remarkable evolution in their algorithms in the last decades and have contributed to several applications in real life. The applications range from cost reduction in the expansion of telecommunications and electrical networks to the accessibility of people and autonomous vehicles. However, despite their importance, the investigation of methods at the intersection of these two areas has not been explored in the literature. Problems at this intersection are characterized by graphs whose topology can change over time (i.e., edges can be inserted or deleted online) and whose edges' costs are defined by more than a single criterion or objective. In this paper, we introduce the multi- objective dynamic shortest path problem (MODSP) and present the first algorithm to solve it. In particular, we formally define the MODSP problem and explain its relation to multi-objective decision-making and dynamic shortest paths. Concerning the algorithm, we present the first single-source MODSP (SMDSP) approach as a first effort towards solving MODSP problems while avoiding the recomputation of the paths from scratch when the graph is updated. Finally, we perform an experimental evaluation of the SMDSP and a comparison with the state-of-art algorithm for multi-objective shortest path problems. The results of our experimental evaluation prove that in an environment subjected to constant updates, the SMDSP algorithm is more efficient.
16 May 2022
TL;DR: An intelligent virtual assistant model named ADAM is proposed, which uses chatbots and Natural Language Processing (NLP) to facilitate interaction with people in managing their finances and bring more autonomy to them.
Abstract: Context: According to the Serviço de Proteção ao Crédito (SPC Brasil), approximately 48% of Brazilians do not control their monthly budget. Problem: In addition, according to the Pesquisa de Endividamento e Inadimplência do Consumidor (PEIC), the percentage of families that reported debts reached 76,3% in December 2021. This number indicates the need for solutions to help people manage their personal finances. Solution: This article proposes an intelligent virtual assistant model named ADAM to help manage personal finances. Considering the proliferation and accessibility of instant text messages applications, the model uses chatbots and Natural Language Processing (NLP) to extract information from sentences and texts. NLP allows better user interaction since the users can employ their natural language. IS Theory: The work was carried out following the Design Theory. In addition, the foundations of the Technology Acceptance Model (TAM) were also used mainly to evaluate the artifact. Method: The work adopted Design Science Research as a research method. Problem understanding and the construction of the artifact were carried out with the support of specialists in the finance area. Ten academic community participants and finance specialists evaluated the artifact. Summary of Results: Six users rated the artifact as easy to use and intuitive, facilitating the management of personal finances. Also, suggestions were made to improve the artifact. Contributions and Impact in the IS area: Among the main contributions, the intelligent virtual assistant model stands out, which uses NLP to facilitate interaction with people in managing their finances and bring more autonomy to them.
TL;DR: In this article , a systematic literature review was conducted to determine how data is collected, and to monitor anxiety and stress levels, and two taxonomies synthesize the techniques mapped.
Abstract: Anxiety and stress are common emotional responses for human beings, but their chronic manifestation can lead to physical and psychological illnesses. The advancement of sensing technologies, such as Internet of Things, has contributed to the understanding and assisting events related to anxiety and stress. However, the main challenge is knowing which approaches can be used to better monitor these emotions and assist people. Based on a systematic literature review, this work analyzed studies both to determine how data is collected, and to monitor anxiety and stress levels. Two taxonomies synthesize the techniques mapped. The results indicated more emphasis on studying stress than anxiety and more focus on detecting anxiety and stress levels than on assisting the user. Among the main techniques to collect data, 62.5% of the studies used physiological data like heart data, and for data analysis techniques, 48% of the studies used Decision Trees.
01 Jan 2022
TL;DR: The possibility that computers, in particular, personal computers, can be used for harmful actions affecting global computer systems as a whole, due to two main reasons: (1) hardware and / or software failures, which are caused by problems related to their manufacture which must be solved by their respective manufacturers and (2) failures due to actions or inactions of their users as mentioned in this paper .
Abstract: The possibility that computers, in particular, personal computers, can be used for harmful actions affecting global computer systems as a whole, due to two main reasons: (1) hardware and / or software failures, which are caused by problems related to their manufacture which must be solved by their respective manufacturers and (2) failures due to actions or inactions of their users, in particular people with low computer skills, people of very low age groups, e.g. children, or very old age groups, e.g. ageing people, or others without a minimum of computer skills. This problem is aggravated by the continuous proliferation of equipment, namely mobile devices, IOT devices and others that have Internet connectivity, namely through a browser. There are the possible ways in the area of cyber education that can contribute to cyber resilience of society and these are developed in this work.