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Jorge Luis Victória Barbosa

Bio: Jorge Luis Victória Barbosa is an academic researcher from Universidade do Vale do Rio dos Sinos. The author has contributed to research in topics: Ubiquitous computing & Context (language use). The author has an hindex of 26, co-authored 309 publications receiving 2551 citations. Previous affiliations of Jorge Luis Victória Barbosa include University of Rio Grande & Universidade Católica de Pelotas.


Papers
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Journal ArticleDOI
TL;DR: It is pointed out that predictive maintenance is a hot topic in the context of Industry 4.0 but with several challenges to be better investigated in the area of machine learning and the application of reasoning.

189 citations

Journal ArticleDOI
TL;DR: This paper describes the occurrence of four cases of acute food poisoning, involving a total of 50 people, due to the ingestion of lamb and bovine meat containing residues of clenbuterol.
Abstract: This paper describes the occurrence of four cases of acute food poisoning, involving a total of 50 people, due to the ingestion of lamb and bovine meat containing residues of clenbuterol. Symptoms shown by the intoxicated people may be generally described as gross tremors of the extremities, tachycardia, nausea, headaches and dizziness. Analytical methodology developed for the determination of clenbuterol in meat, liver and blood samples is described. Procedures are described which should be followed when the described symptoms are evident in a group of people who have ingested contaminated meat, and particularly liver of ruminants.

135 citations

Journal ArticleDOI
TL;DR: It is concluded that usability, security, and privacy directly affect the confidence of the user in adopting an IPA and the proposition of a taxonomy for IPA classification is made.
Abstract: Natural Language Interfaces allow human-computer interaction through the translation of human intention into devices’ control commands, analyzing the user’s speech or gestures. This novel interaction mode arises from advancements of artificial intelligence, expert systems, speech recognition, semantic web, dialog systems, and natural language processing, bringing the concept of Intelligent Personal Assistant (IPA). There is currently a vast literature on this subject. However, in the best of our knowledge, there is no thorough analysis of the state-of-the-art in the field. In this context, we present in this article a survey of the field, discussing the main trends, critical areas, and challenges of an IPA. Another contribution is the proposition of a taxonomy for IPA classification. The method used to achieve these objectives consisted of a systematic literature review based on the population, intervention, comparison, outcome, and context (PICOC) criteria. As a result, we started from more than 3472 scientific articles published in the last six years, searched on a set of databases chosen to increase the probability of finding highly relevant articles. The review selected the 58 most significant articles, identifying challenges and open questions. We also discuss in the article the current status, usage, security and privacy issues, types, and architectures regarding an IPA. We conclude that usability, security, and privacy directly affect the confidence of the user in adopting an IPA.

129 citations

Journal ArticleDOI
TL;DR: The proposed model, SafeTrack, improves logistics operation, optimizing decision-making, avoiding losses during the logistics flow, and also allowing companies to remain competitive in the market.
Abstract: The proposed model manages travels and cargos, without user interaction.We developed a hardware that obtains context information using RFID technology.The model uses context information and geofencing algorithms to perform decisions.The model sends notifications, speeding decision-making up, and reducing costs. The cargo transport represents the largest share of logistics costs in most companies. Consequently, companies are investing in tracking and tracing systems aiming to improve services, reduce costs and ensure the safety in cargo transportation. To play a part in this area, we propose in this article SafeTrack, a model for logistics management based on geofencing algorithms and radio-frequency technology. In this approach, the focus is on dealing with delivery management. The main scientific contribution of SafeTrack is automatic delivery management. Besides dealing with deliveries without user interaction, we provide a mechanism to detect inconsistencies at real-time. Furthermore, the model monitors detours in planned routes and deals with alarms notifications using mobile devices. To provide that features, we employed Geofence concept with two solutions that enable to detect, in real-time, the occurrence of detours in planned routes. We also created a component, named SafeDuino, to control loads delivery and pickups. The decision on the occurrence of inconsistencies during the logistics flow is performed through the fusion of context information, obtained from SafeDuino and a mobile device, using radio-frequency technology. We built a complete and functional prototype, which was evaluated in a controlled environment, testing several conditions. The test scenario was executed twenty times, showing that the proposed model is capable to identify all inconsistencies along the travels. We concluded that SafeTrack improves logistics operation, optimizing decision-making, avoiding losses during the logistics flow, and also allowing companies to remain competitive in the market.

93 citations

Journal ArticleDOI
TL;DR: A model that allows applications to register entities' actions in trails and infer profile information from these trails, using semantic interoperability and thus allowing different applications to share information and infer a unified profile is proposed.
Abstract: Ubiquitous systems have the challenge of implicitly collect relevant information about entities, and use this information to understand and predict their behavior. This allows the applications to adapt themselves to the entities, thus avoiding to overflow them with inquires and information. The analysis of trails, the context-aware history of actions, can further improve the relevance of information. This paper proposes a model that allows applications to register entities' actions in trails and infer profile information from these trails, using semantic interoperability and thus allowing different applications to share information and infer a unified profile. An application was developed and integrated with two different softwares in a scenario of ubiquitous learning, where the student profiles were dynamically updated, allowing them to better adapt to the environment. The contributions of this model are the use of trails for extracting profiles and the capability of managing dynamic inference rules for profile generation.

78 citations


Cited by
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01 Jan 2003

3,093 citations

Journal Article
TL;DR: A new book enPDFd preventing chronic diseases a vital investment to read is offered, offering you a new book to read and helping you to love reading.
Abstract: Let's read! We will often find out this sentence everywhere. When still being a kid, mom used to order us to always read, so did the teacher. Some books are fully read in a week and we need the obligation to support reading. What about now? Do you still love reading? Is reading only for you who have obligation? Absolutely not! We here offer you a new book enPDFd preventing chronic diseases a vital investment to read.

1,432 citations

Proceedings Article
22 Aug 1999
TL;DR: The accessibility, usability, and, ultimately, acceptability of Information Society Technologies by anyone, anywhere, at anytime, and through any media and device is addressed.
Abstract: ▶ Addresses the accessibility, usability, and, ultimately, acceptability of Information Society Technologies by anyone, anywhere, at anytime, and through any media and device. ▶ Focuses on theoretical, methodological, and empirical research, of both technological and non-technological nature. ▶ Features papers that report on theories, methods, tools, empirical results, reviews, case studies, and best-practice examples.

752 citations

Journal ArticleDOI
TL;DR: Cognitive behavioral therapy WikipediaCognitive Behavioral Therapy (CBT): Definition, Types 31 Best Cognitive Behavioral Therapy books In 2021 31 best CBT books in 2021.
Abstract: Cognitive behavioral therapy WikipediaCognitive Behavioral Therapy (CBT): Definition, Types 31 Best Cognitive Behavioral Therapy (CBT) Books In 2021What is Cognitive Behavioral Therapy (CBT)? A Psychologist The Basic Principles of Cognitive Behavior TherapyCognitive therapy WikipediaThe key principles of cognitive behavioural therapy Cognitive Behavioral Therapy | Psychology Today(PDF) Cognitive Behavioural Therapy ResearchGateThe Complete List of CBT Cognitive Behavioral Therapy Cognitive Behavioral Therapy for Substance Use DisordersGoodTherapy Find the Right TherapistWhat is Cognitive Behavioral Therapy (CBT)? | Psychology ToolsTreating Depression With Aaron Beck's Cognitive Therapy The Comprehensive Clinician's Guide to Cognitive The CBT Model of Emotions Cognitive Behavioral Therapy Cognitive Behavioral Therapy (CBT) Case StudyCognitive Behavioral Therapy (CBT) Worksheets | Psychology Beyond Worksheets in Cognitive-Behavioral Therapy Cognitive Impairment and Rehabilitation Strategies After Cognitive therapy: basics and beyond PDF Free DownloadResources from Cognitive Behavior Therapy: Basics and Cognitive Behavioral Therapy (CBT) Simply PsychologyChallenging Negative Thoughts (Worksheet) | Therapist AidWhat About Cognitive Rehabilitation Therapy? | BrainLineCognitive Distortions, Humor Styles, and Depression30 Best CBT Books to Teach Yourself Cognitive Behavioural Cognitive Therapy for Depression

744 citations

Journal Article
TL;DR: Multiagent Systems is the title of a collection of papers dedicated to surveying specific themes of Multiagent Systems (MAS) and Distributed Artificial Intelligence (DAI).
Abstract: Multiagent Systems is the title of a collection of papers dedicated to surveying specific themes of Multiagent Systems (MAS) and Distributed Artificial Intelligence (DAI). All of them authored by leading researchers of this dynamic multidisciplinary field.

635 citations