INES – National Institute of Science and Technology for Software Engineering

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August 2014
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  • INES at SMC 2014

    Publicado em August 30th, 2014Uncategorized
    Prof. George Cabral, researcher at INES, will attend the IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS to present the paper entitled “One-class Classification for Heart Disease Diagnosis”. The research analyzed the application of One-class Classification techniques to model and isolate the class of healthy patients aiming todetect unknown cases. The conference will be held on 5-8 October 2014, in San Diego CA, USA.
  • INES at ICSEA 2014

    Publicado em August 27th, 2014Publications

    Prof. Teresa Maciel, researcher at INES, will participate of the “The Ninth International Conference on Software Engineering Advances – ICSEA 2014″ (October, in Nice, France) to present the paper entitled “A Guideline for Supporting Agile Process Assessments” .

  • INES – UFBA researcher at CBSoft 2014

    Publicado em August 22nd, 2014Publications

    Claudio Sant’Anna, member of the Concern-Driven Measurement of Software Modularity project, will attend CBSoft 2014 in Maceió. Together with other researchers from UFBA he had the following paper accepted at the II Brazilian Workshop on Software Visualization, Evolution and Maintenance (VEM 2014):

    Title: How developers deal with Code Smells: the case of the SourceMiner Evolution team.
    Authors: Alcemir Santos, Mário Farias, Eduardo Almeida, Manoel Mendonça and Claudio Sant’Anna.

  • IndoLoR – Indoor Location Radar

    Publicado em August 18th, 2014Projects

    The advent of mobile technologies and the new technological trend of connecting objects to the global computer network, also known as Internet of things, are making ubiquitous computing a reality in many corporate and residential environments. This new scenario is creating new opportunities for applications, in particular for smart environments. An application area that can take advantage of the technological capabilities provided by smart environments are the RTLS – real time location systems. Classic examples are the problem of indoor and outdoor location. Intrinsically, people are already familiar with outdoor applications that usually use location based on GPS (global positioning system) to provide LBS (Location-based services). This application is especially common in cars and on mobile devices. However, the indoor location adds new challenges, depending on a pre-existing infrastructure in the environment and a better location accuracy. In general, contextual information (checking at specific points) and the level of the received communication signal (RSSI – Received Signal Strength Indicated) are analyzed for the location of the target object, which might be a person or an object. Wireless technologies such as WiFi, RFID, Zigbee and Bluetooth are the most frequently used for indoor tracking.

    This project aims to develop, integrate and evaluate solutions of hardware, software and networks for automation of enterprise environments that enable the development of applications with high added value of indoor location. The solution called IndoLoR (Indoor Location Radar), integrates several emerging areas such as Internet of Things, Pervasive and Ubiquitous Computing, Cloud Computing, Smart Sensors Network and Context Sensitivity.

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  • ForAll UFRN Acquires a MacBook Pro

    Publicado em August 18th, 2014Uncategorized

    The Formal Methods and Languages Laboratory, research laboratory at UFRN associated to INES, acquired a MacBook Pro.

  • INES at ACM Hypertext 2014

    Publicado em August 11th, 2014Publications

    Prof. Leandro Balby will participate of the ACM Hypertext Conference to present the paper entitled “Event Recommendations in Event-Based Social Networks” in the SP 2014 Workshop. The research performs an exploratory analysis of a large dataset collected from (a well known event-based social network) where several insights are derived for the effective development of event recommenders, which is a challenging and still a sparse area of research. After that, some of these insights are fed into state-of-the-art recommender algorithms in order to investigate the advantages and limitations of these recommenders.

    The abstract is presented as follows:
    With the large number of events published all the time in event-based social networks (EBSN), it has become increasingly diffi cult for users to nd the events that best match their preferences. Recommender systems appear as a natural solution to this problem. However, the event recommendation scenario is quite different from typical recommendation domains (e.g. movies), since there is an intrinsic new item problem involved (i.e. events can not be “consumed” before their occurrence) and scarce collaborative information. Although few works have appeared in this area, there is still lacking in the literature an extensive analysis of the different characteristics of EBSN data that can affect the design of event recommenders. In this paper we provide a contribution in this direction, where we investigate and discuss important features of EBSN such as sparsity, events life time, co-participation of users in events and geographic features. We also shed some light on the performance and limitations of several well known recommendation algorithms and combinations of them on real and large data collected from

  • HEALTHDRONES – Evaluating drones as a software platform for development of applications for monitoring epidemiological and crowd phenomena

    Publicado em August 11th, 2014Projects

    The use of satellite data can be complemented by collected one by devices in flight (unmanned aerial vehicles called here “drones”). This provides a platform of data very close to reality and can be programmable by IOT (Internet Of Things) applications. These data can be used for monitoring environments at risk or under specific control (epidemiological or any crowd phenomena). This project will provide an overview of the software platforms available today for development of algorithms for unmanned aerial vehicles (UAVs) in autonomous flight to be used in IOT applications. We are primarily interested in their use for epidemiological monitoring of areas under risk, but these platforms can be used to monitor any kind of crowd event. In particular, in this project, images are captured and processed using NOAA and Meteosat 8 Satellites. They are operated by GOESERE-UFRPE (Laboratory of GIS and Remote Sensing of the Federal Rural University of Pernambuco) – – and are used to compose the monitoring scenarios.  Images and other data are also captured and processed by the drones platforms and its sensors. This information will compound automatic surveillance scenarios of the phenomena.

    The development of a prototype for Schistosomiasis will provide an evaluation of the platforms used for this project. In this way, as the main outcome, this project will provide an overview of technologies available today, their ability to integrate with legacy systems and their programming capabilities. It is expected to evaluate at least five different air platforms and this project enables the acquisition of such platforms. The importance of this project for the industry takes on the aspect of evaluation of commercial platforms for UAVs to be a possible IDE for software applications in industry.

    This project is a coordinate action by researchers from GOESERE-UFRPE, CIN-UFPE, CESAR, LIKA, EPITRACK and ISI-TICs.

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  • INES at ICSME 2014

    Publicado em August 11th, 2014Uncategorized

    Juliana Araújo will attend the 30th International Conference on Software Maintenance and Evolution(ICSME) in Victoria, British Columbia, Canada- 28 September-03 October.

    Juliana will present the following paper:  How Does Exception Handling Behavior Evolve? An Exploratory Study in Java and C# Applications. This activity is part of the project “Integrando Testes com Mineração de Fluxo Excepcional para Construção de Aplicações Robustas”, in portuguese “PT”.

  • BaSiC: A Service Bus for Smart Cities

    Publicado em August 7th, 2014Projects
    The population growth in cities has brought significant challenges to public administration. Problems related to traffic management, security maintenance, water and energy consumption, among others, are becoming more difficult to manage. Despite the growth observed, society today is becoming smarter in many senses, including new and more sustainable habits as well as the use of Information and Communication Technologies (ICT) for monitoring, controlling and supporting decision making in public and private administration. Many types of ICTs are already being used in that context, such as cloud computing, wireless sensor networks, smart grids, geographic information systems and mobile devices. In fact, technology can be found at many levels, ranging from collecting data from ordinary tasks (e.g. waste collection, traffic monitoring) to performing managerial tasks that involve decision-making based on the monitored data.
    The construction of such complex systems involve a large number of independent, autonomous, heterogeneous and interacting (sub)systems. These are indeed the support for extremely complex smart services and applications needed to create a Smarter Society (e.g. electricity, water and other natural resources management; communications and transport; education and health; climate change monitoring). Each of these systems has specific needs, processes and outputs. In practice, current ICT solutions targeting a Smarter Society are mostly focused on collecting sensor information from different sources, ending up as sorts of command and control systems for monitoring urban environments. These systems collect data through sensors or through people (using mobile devices and other systems), store and process them, in order to extract useful information that can help in decision making, improving quality of life and stimulating sustainable practices. There are several proprietary solutions that are custom-tailored integrations of different systems, which many times were not conceived to be integrated. These solutions typically consist of compositions of other systems, gathering and integrating data (e.g. GPS locations, temperature, traffic conditions, energy consumption) from different sources (i.e. different systems) in a way that allows relevant information to be extracted and analyzed basically in two fashions: (1) by analyzing the data flows in realtime, establishing correlations and inferring events and (2) storing the collected information to be used later for constructing other useful services with specific purposes (e.g. energy saving campaigns, traffic trends analysis, waste collection investigation).
    The focus of this project targets the first concern, for realtime data analysis. The goal is to provide a service bus capable of gathering and mediating data collected from different (sub)systems, with the ability to analyze the data flows and generate events based on patterns found on the data. In order to achieve that, the project will rely on an Enterprise Service Bus (ESB) -which facilitates systems integration through service-oriented computing – and on the usage of Complex Event Processing (CEP) for analyzing the data flows in realtime. The activities of this project will concentrate on the construction of an end-to-end infrastructure for: (1) High level tools that will allow non-CEP specialist users (e.g., traffic managers and operators, urban monitoring personnel) to build their own queries for analyzing data flow; and (2) an adaptation layer for facilitating the integration of urban information systems, with the help of metadata that will enable data providers to be identified by data consumers according to the data they publish on the bus. That information will be an enabler for the high level tooling automatically identifying when new data types become available in the service bus.
    Members: Kiev Santos da Gama (CIn-UFPE) – coordinator, Alexandre Álvaro (UFSCar-Sorocaba), Bernadette Farias Lóscio (CIn-UFPE), Eduardo Araújo Oliveira (CESAR),  Vinicius Cardoso Garcia (CIn-UFPE)
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  • INES at 8th International EIASM

    Publicado em August 6th, 2014Uncategorized

    Ricardo Amorim will present a full paper in the 8th International EIASM Public Sector Conference that will be held in Edinburgh, U.K., September 2-4, 2014. The paper is part of the INES project “MDAOnto System – a solution for the development of applications supported by educational model and ontologies”.