Brazil

Um paradigma emergente que tem se mostrado uma materialização do conceito de computação ubíqua é a Internet das Coisas (do inglês, Internet of Things - IoT). Porém, para que a IoT se torne uma realidade para todos os tipos de usuários, é necessário encontrar soluções para superar alguns desafios presentes neste paradigma computacional. Dentre os desafios presentes, pode-se citar: a heterogeneidade das informações geradas nestes meios; o considerável volume de dados trafegados; dispositivos potencialmente executando em redes com largura de banda reduzida, ou que possuam links de comunicação saturados. Neste trabalho é apresentado o EXEHDA-DEP, uma arquitetura de processamento de eventos complexos distribuída para a IoT, apta a lidar com a heterogeneidade proveniente destes meios e de executar em ambientes que possuam ou não restrições de conexão. Os resultados obtidos demonstram a capacidade do EXEHDA-DEP escalar o processamento horizontalmente, aplicando estratégias que favoreçam a concepção de uma arquitetura com um consumo de rede estável, onde nos testes executados é demonstrado uma redução considerável do consumo médio de rede.

WebMedia 2020

EXEHDA-DEP: An Architecture to Distributed Complex Event Processing

distributed event processing

complex event processing

internet of things

The 9th Brazilian Conference on Intelligent Systems (BRACIS), the 16h Encontro Nacional de Inteligência Artificial e Computacional (ENIAC), and the 12th Concurso de Teses e Dissertações em Inteligência Artificial e Computacional (CTDIAC) was held from 20 to 23 October, 2020.

BRACIS originated from the combination of the two most important scientific events in Brazil in Artificial Intelligence (AI) and Computational Intelligence (CI): the Brazilian Symposium on Artificial Intelligence - SBIA (22 editions), and the Brazilian Symposium on Neural Networks - SBRN (13 editions). ENIAC is a national forum for researchers, practitioners, educators and students to present and discuss innovations, trends, experiences, developments and work in progress in the fields of Artificial and Computational Intelligence. CTDIAC is a satellite event whose goals are to disseminate and award the best dissertations and theses (MSc and PhDs concluded in Brazilian universities from June 2018 to May 2020) in Artificial and Computational Intelligence areas.

In this year, the Symposium on Knowledge Discovery, Mining and Learning (KDMiLe) will be held in conjunction with BRACIS 2020. This sysposium aims at integrating researchers, practitioners, developers, students and users to present their research results, to discuss ideas, and to exchange techniques, tools, and practical experiences – related to the Data Mining and Machine Learning areas.

BRACIS 2020

technical paper

Promoted by the Brazilian Computer Society (SBC), the Brazilian Symposium on Multimedia and Web (WebMedia) is the main event of the theme in Brazil and an excellent opportunity for scientific and technical exchange among students, researchers and professionals in the areas of Multimedia, Hypermedia and Web. This year we will be celebrating to 26th edition of WebMedia, which will be held online from november 30th to December 4th .

Webmedia 2020’s programming includes:

– Technical sessions for the presentation of scientific papers
– National and international keynotes
– Panel with companies
– Workshops
– Short Courses
– Open community meetings

The topics of interest for submitting papers are:

– Web and Social Networks
– Multimedia
– Digital TV, Ubiquitous and Mobile Computing

Besides the main track, WebMedia 2020 will have in parallel the Tools and Applications Workshop, works Tools and Applications Workshop, the Workshop on Undergraduate Research Work and the Workshop The Future of Interactive.

The WebMedia 2020 organization is under the responsibility of the Programa de Pós-graduação Doutorado em Ciência da Computação – Associação UFMA/UFPI (DCCMAPI), do Programa de Pós-graduação em Ciência da Computação/ CCET (PPGCC), do Laboratory of Advanced Web Systems/UFMA (LAWS) e do Laboratório de Sistemas Multimídia/UFMA (TELEMÍDIA).).

#PartiuWebMedia2020 #WebMedia2020

Promoted by the Brazilian Computer Society (SBC), the Brazilian Symposium on Multimedia and Web (WebMedia) is the main event of the theme in Brazil and an excellent opportunity for scientific and technical exchange among students, researchers and professionals in the areas of Multimedia, Hypermedia and Web.

Due to its continental size, Brazil is one of the countries with the largest territorial extension in theworld, with a total of 27 federative units, and prominent cultural diversity. Brazil is also among the five countries with the largest social inequality according to the UN, which may stimulate the interstate migration process. This process contributes to an increase in cultural diffusion across the states of origin and destination of migrants since they move with all their habits including food and drink preferences. In our work, we measured the similarity among Brazilian states, analyzing food and drink preferences as a cultural indicator. By leveraging the Facebook advertising platform, which allows us to obtain an estimate of the total number of users who satisfy a set of attributes provided, we collected the audience for food and drinks in Brazil to conduct our analysis. In order to validate our results, we compared the cultural similarity of the states with the rate of migrants they received in a given period. Our results reveal a positive correlation between cultural similarity and the rate of migration.

Inferring cultural similarity among Brazilian states based on data from social media advertising platforms

A SaaS (Software as a Service) can transparently consume a DaaS
(Data as a Service). However, heterogeneous DaaS and its evolution
can disrupt the SaaS execution. In such cases, a middleware can
provide such interoperability and monitor the DaaS trackback and
its evolution by retrieving its metadata. For instance, the middleware MIDAS manually provides such interoperability. Considering
the Web and the number of web pages and DaaS available, this task
may be time-consuming and unfeasible. To automate this task, it
is firstly important to distinguish a DaaS from a typical web page.

Classifying Web page features to detect DaaS

Worldwide, the composition of the population registers an increase in life expectancy and a reduction in the birth rate. The creative use of technology and the omnipresence of sensor-based devices allow the development of software solutions and platforms that offer services to older people towards increasing quality of life,reducing expenses, and promoting aging in place while preserving autonomy and security: a case in point is wearable sensor-based Human Activity Recognition (HAR). Given that previous work ob-served the lack of attention given to older people by the researchers investigating HAR systems, we conducted a systematic mapping aiming at identifying resources, as variables and associated values,used in the development of HAR systems for older people. The systematic mapping selected 21 papers published between 2010 and 2019, which exposed the use of 16 variables and associated values.

Recognition of Human Activities via Wearable Sensors: Variables Identified in a Systematic Mapping

Several cities around the world face security problems, such as vehicle theft. Locate and recover these vehicles are challengers for authorities. In smart cities, citizens can collaborate with authorities by sensing urban and environmental data, so-called crowdsensing. This work introduces Crowd-Auto, a crowdsensing approach that
utilizes a crowded camera network from houses and commerce to identify vehicle plates, query on official databases and inform the authorities when stolen vehicles are identified. We’ve developed a prototype and demonstrated that Crowd-Auto is viable for allowing citizens to cooperate and improve security in cities.

Crowd-Auto: Locating Theft Vehicles Through Urban Crowdsensing

Na área de Sistemas de Recomendação existe uma predominância histórica para algoritmos colaborativos em relação à baseados em conteúdo. No entanto, o último pode apresentar melhores resultados com usuários e ser mais transparente que o primeiro. Dessa maneira, será apresentado o algoritmo de recomendação baseado em conteúdo WordRecommender, que calcula proximidade de itens a partir da similaridade semântica entre os aspectos mais importantes de cada um, extraídos a partir de revisões de usuários. Para produzir explicações textuais, o algoritmo pode utilizar a mesma métrica semântica considerando um filme de perfil e um outro recomendado. Como resultado, o método proposto apresentou um desempenho melhor que os baseline em contextos de pouca quantidade de dados e vizinhos, evidenciando que dados semânticos são uma fonte importante para representação de informação e explicações em sistemas de recomendação.

WordRecommender: An Explainable Content-Based Algorithm based on Sentiment Analysis and Semantic Similarity

Distinct Data as a Service (DaaS) and Database as a Service (DBaaS) providers can store and manage heterogeneous data in the cloud. Data are accessed from the Software as a Service (SaaS) through an automated solution named MIDAS (Middleware for DaaS/DBaaS and SaaS), which is an intermediate communication layer between SaaS and DaaS/DBaaS. During the providers' evolution, a SaaS query may be affected by DaaS attributes' change. The challenge is to ensure data cloud services consistency for consumers can access the correct attribute when querying a DaaS. Thus, we propose a method to match semantic similarity among DaaS attributes. The method combines two steps to track semantic similarities of DaaS attributes. The first step is done by Cosine and Jaccard measures (edge-counting approach) to identify the number of edges linking two attributes to find the syntactic or lexical similarity, and the second step performed by Information Content (IC)-based measures with WordNet to assess the semantic similarity if edge-counting measures are unable to provide parity between DaaS attributes. Our method is implemented in MIDAS middleware as a proof of concept, and we perform some experiments to evaluate three criteria: overhead, performance, and correctness of our approach. Results showed that we are in a potential direction to provide semantic interoperability between SaaS and DaaS.

Semantic similarity attributes for Data Cloud: A case study in MIDAS

The candidate's thesis is within the emerging topic of mulsemedia systems, which encompass audiovisual content associated with multisensory effects, users' quality of experience, and human-computer interaction. It presents a conceptual architecture and a framework that take into account the challenges and requirements for mulsemedia delivery systems identified from the gaps and shortcomings in related work. Furthermore, the work's outcome brings multiple and valuable contributions relying on a complex and solid experimental setup, which have been shared and published in relevant journals and conferences.

A Conceptual Architecture and a Framework for Dealing with Variability in Mulsemedia Systems

In this work, we present the platform Boca a Boca Virtual, a kind of virtual catalog that aims to help self-employed professionals and small businesses to start their presence in the digital environment, promoting their services and products in a simple and fast way. The idea emerged during the beginning of the COVID-19 pandemic, especially with social isolation, whose concern, from an economic and social point of view, was to allow autonomous service providers and establishments, in general, to continue offering their products and/or services. Through the platform, a consumer can search for a specific product and service within his own neighborhood and city, strengthening the local economy. In addition, Boca a Boca Virtual is integrated with Google Maps, in such a way that registered developments are also indexed by the Google search engine, improving their visibility and potentially increasing more customers. The platform is fully responsive, combining several recent web development technologies. Today it has more than 140 registered enterprises, from more than 30 Brazilian cities.

Boca a Boca Virtual: Presença Digital para Pequenos Empreendedores

This work aims to present the platform on government accountability. named “Cuidando do Meu Bairro” ("Caring for My Neighborhood"), which is a social platform for monitoring and controlling the town´s public spending. The work shows its concept evolution based on stakeholders feedback during the last 8 years that the platform has been contributing to governmental accountability and social participation, The functionalities and software architecture are presented. Also, the main outcomes and social impact that this project provided on civic education, fight against corruption, public transparency and social participation are briefly presented.

Cuidando do Meu Bairro 2.0: Acesso à informação e monitoramento dos gastos da cidade em tempo real

Entering the world of Interactive Digital Television (iDTV) applications can lead to an exhaustive process that involves reading extensive standards and may need a robust middleware solution to run Ginga-NCL applications, which is a subset of Ginga and the standard for interactivity of digital television adopted in Latin America countries. Even though there are some open and commercial solutions for development of Ginga applications available on the market, most of these solutions present downsides such as deep dependency of Ginga engine implementation, need of complex environment setup and they are not very intuitive NCL/NCLua coding platforms. To solve these issues, we created an IDE developed in web technology that makes possible for students and professionals to learn how to develop Ginga-NCL applications. With this tool, developers can write, validate and experiment their applications entirely on the web environment, with no software installation required.

Downloads

Next from WebMedia 2020

Inferring cultural similarity among Brazilian states based on data from social media advertising platforms

Similar lecture

A Clustering Visualization Query Language

.css-70qvj9{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}Downloads

Next from WebMedia 2020

Inferring cultural similarity among Brazilian states based on data from social media advertising platforms

Similar lecture

A Clustering Visualization Query Language

Downloads