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Analyzing Performance of the Parallel-based Fractal Image Compression Problem on Multicore Systems

AASRI Procedia 2013年 5卷 140-146页

作者： Roberto de Quadros Gomes Vladimir Guerreiro Rodrigo da Rosa Righi Luiz Gonzaga da Silveira Jinyoung Yang Applied Computing Graduate Program –PIPCA - UNISINOS–Unisinos Avenue 950 São Leopoldo RS Brazil Korean Advanced Institute of Science and Technology –KAIST – 291 Daehak-ro Yuseong-gu Daejeon 305-701South Korea

Both the size and the resolution of images always were key topics in the graphical computing area. Especially, they become more and more relevant in the big data era. We can observe that often a huge amount of data is exchanged by medium/low bandwidth networks or yet, they need to be stored on devices with limited space of memory. In this context, the present paper shows the use of the Fractal method for image compression. It is a lossy method known by providing higher indexes of file reduction through a highly time consuming phase. In this way, we developed a model of parallel application for exploiting the power of multiprocessor architectures in order to get the Fractal method advantages in a feasible time. The evaluation was done with different-sized images as well as by using two types of machines, one with two and another with four cores. The results demonstrated that both the speedup and efficiency are highly dependent of the number of cores. They emphasized that a large number of threads does not always represent a better performance.

关键词： Parallel programing Fractal Coding Multicore architectures Parallel modeling Threads Performance analysis

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Visualization and analysis of interacting occurences in a smart city

Visualization and analysis of interacting occurences in a sm...

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IEEE Symposium on Computers and Communications (ISCC)

作者： Luana Carine Schünke Luiz Paulo Luna de Oliveira Marta Becker Villamil Applied Computing Graduate Program Universidade do Vale do Rio dos Sinos - Unisinos São Leopoldo RS Brazil

New information and communication technologies enable a better management of the available resources in a smart city. Leaders need tools to analyze data for better decisions, anticipate problems and resolve them proactively. In this context, this article proposes a simulation tool to analyze the interaction of typical cities occurrences like criminal and police. The information of both occurrences, including their densities, are inserted and visualized on a city map. Each record is marked on the GPS point where it happened. From these inputs data, the interactions are modeled by Voronoi Diagrams. The occurrences change their position according to the size area of the opposite event. In this way, crimes runway from police and police catch crimes occurrences. As results, we show that a large increase of police actions will not influence quantitatively in the reduction of criminal occurrences out of a critical zone.

关键词： Data visualization Cities and towns Generators Vectors Government Registers

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Digital field book for geosciences 37

Digital field book for geosciences

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37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017

作者： Cagliari, Joice Veronez, Mauricio R. Heinen, Farlei Gonzaga, Luiz Tognoli, Francisco M. W. Gallon, Debora P. Marson, Fernando P. Graduate Program in Geology Vale Do Rio Dos Sinos University São Leopoldo RS Brazil Vale Do Rio Dos Sinos University São Leopoldo RS Brazil Graduate Program in Applied Computing Vale Do Rio Dos Sinos University Av. UNISINOS 950 São Leopoldo RS93022-000 Brazil

ISBN: (纸本)9781509049516

In this study we present a mobile application for geoscience. It refers to a digital field book for automating data collection and outcrop/core description, and optimizing the final data processing. Sensors were developed for semi-automatic data collection, real time calculations, measurements of dip angles and dip directions, geographic location, among others. Field tests were performed comparing the traditional method with the proposed digital method. The preliminary results show a good acceptance of the mobile application by geoscientists and an improvement in the time required to perform data collection. Field tests are still going on and the complete results will be used to improve the development of this important tool in geoscience field work. © 2017 IEEE.

关键词： Data collection Sensors Software Real-time systems Rocks Mobile applications

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A Novel Approach for Commercial Opportunities Qualification Using the BANT Methodology under the Fuzzy Set Theory Framework.

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Procedia Computer Science 2024年 246卷 1271-1280页

作者： Marcus Vinicius Leite Jair Minoro Abe Marcos Leandro Hoffmann Souza Graduate Program in Production Engineering-Paulista University-UNIP Rua Dr. Bacelar 1212-São Paulo-SP-04026002 Brazil Graduate Program in Applied Computing-Vale do Rio dos Sinos University-UNISINOS Av. Unisinos 950 - São Leopoldo-RS-93022-000- Brazil

Demand generation is crucial for organizations, supplying sales teams with well-qualified commercial opportunities. Despite the wide variety of existing opportunity qualification methodologies, the subjective nature of experts’ final evaluation remains an obstacle to efficiency and productivity in the business process. This research investigated how Fuzzy Set Theory and Fuzzy Logic could be applied to the BANT methodology for qualifying commercial opportunities, aiming to replace these deliberative evaluations by experts to increase the sales cycle performance. A fuzzy inference system was developed to emulate the assessments of the experts. The analysis of the ratings obtained after processing a sample of commercial opportunities from 2022 and 2023 confirmed the system’s effectiveness in aligning with expert perceptions. While the study indicated room for refinements in the model, the findings underscore the potential to streamline the qualification of opportunities and improve sales cycle performance.

关键词： Fuzzy Set Theory Fuzzy Logic Decision Making Commercial Opportunity Qualification BANT Methodology Sales Force Support Commercial Process Optimization

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An Analysis of Machine Learning Classifiers in Breast Cancer Diagnosis

An Analysis of Machine Learning Classifiers in Breast Cancer...

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Conferencia Latinoamericana En Informatica (CLEI)

作者： Fabiano Teixeira João Luis Zeni Montenegro Cristiano André da Costa Rodrigo da Rosa Righi Software Innovation Laboratory - SOFTWARELAB Applied Computing Graduate Program Universidade do Vale do Rio dos Sinos - UNISINOS Av Unisinos 950 Sao Leopoldo 93022-750 Brazil

ISBN: (数字)9781728155746

ISBN: (纸本)9781728155753

In the field of assisted cancer diagnosis, it is expected that the involvement of machine learning in diseases will give doctors a second opinion and help them to make a faster / better determination. There are a huge number of studies in this area using traditional machine learning methods and in other cases, using deep learning for this purpose. This article aims to evaluate the predictive models of machine learning classification regarding the accuracy, objectivity, and reproducible of the diagnosis of malignant neoplasm with fine needle aspiration. Also, we seek to add one more class for testing in this database as recommended in previous studies. We present six different classification methods: Multilayer Perceptron, Decision Tree, Random Forest, Support Vector Machine and Deep Neural Network for evaluation. For this work, we used at University of Wisconsin Hospital database which is composed of thirty values which characterize the properties of the nucleus of the breast mass. As we showed in result sections, DNN classifier has a great performance in accuracy level (92%), indicating better results in relation to traditional models. Random forest 50 and 100 presented the best results for the ROC curve metric, considered an excellent prediction when compared to other previous studies published.

关键词： Machine learning Breast cancer Support vector machines Neural networks Forestry

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A Proposal of a Mobile Payment System Based on Android

A Proposal of a Mobile Payment System Based on Android

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International Conference on Innovative Mobile and Internet Services in Ubiquitous computing (IMIS)

作者： Alex Roehrs Cristiano André da Costa Jorge Luis Victória Barbosa Applied Computing Graduate Program-PIPCA Universidade do Vale do Rio dos Sinos (UNISINOS) Sao Leopoldo Rio Grande do Sul Brazil

ISBN: (纸本)9781467313285

This paper aims at presenting an architectural model proposal for a novel Mobile Payment System, called 4iPay. This work considers the following premises: independence of device, location, carrier and cardholder to meet the needs of executing payment transactions in ubiquitous commerce. Our proposal considers the convergence of concepts of ubiquity, unity, universality and unison to form the proposed model. This article describes the model, implementation, preliminary assessments and requirements for mobile payment in ubiquitous environments. We developed a prototype of 4iPay using Android smart phones. The prototype was evaluated in three different scenarios.

关键词： Mobile communication Mobile handsets Security Proposals Performance evaluation Servers

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Mingle spontaneous social network

Mingle spontaneous social network

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International Conference on Computational Aspects of Social Networks, CASON

作者： Dante Zaupa Cristiano André da Costa Jéssica Silva Jorge Barbosa Adenauer Yamin Applied Computing Graduate Program - PIPCA University of Vale do Rio dos Sinos - UNISINOS São Leopoldo Brazil Graduate Program in Computer Science - PPGC Federal University of Pelotas - UFPEL Pelotas Brazil

Social networks provide a new way of communication that still preserves our human social interaction. Due to the widespread use of mobile devices, people tend to use their smartphone or tablet as the main way to make that interaction. Furthermore, applications developed to these devices are fostering the use of contextual information, such as the location of the user. In this way, this article proposes Mingle, a model for a spontaneous social network targeted at mobile devices. In our proposal, the social network is spontaneous, i.e. involves only people that are physically present in a specific location. Besides presenting the model, we show a developed prototype using Android-based devices. We evaluated Mingle employing two strategies, a usage case and a performance evaluation. The results were encouraging and show the potential of deploying Mingle in real situations.

关键词： Social network services Servers Computer architecture Mobile handsets Microprocessors Ontologies Telecommunication traffic

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Ubiquitous System for Stroke Monitoring and Alert

Ubiquitous System for Stroke Monitoring and Alert

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Annual IEEE Symposium on Computer-Based Medical Systems

作者： Allan Barcelos Sandro J. Rigo Jorge L.V. Barbosa Applied Computing Graduate Program University of Vale do Rio dos Sinos (UNISINOS) São Leopoldo Brazil Appl. Comput. Grad. Program Univ. of Vale do Rio dos Sinos (UNISINOS) Sao Leopoldo Brazil

Research regarding stroke indicates that short elapsed time between accident and treatment can be fundamental to allow saving patient's life and avoid future sequels. This paper describes a model for monitoring and rescue victims in situations of possible stroke occurrence. It uses stroke symptoms that can be monitored by mobile equipment, ambient intelligence and artificial neural networks. The model is independent from human operation and applications or third parties devices, therefore adding facilities to increase the quality of life for people with stroke sequel, due to constant monitoring and follow-up provided, allowing the stroke patient to consider a recovery period with greater autonomy. A prototype based on free software platforms was developed, in order to assess the accuracy and the time elapsed between the prototype to detect and to send an alert. The results indicate a positive outlook for the work continuity.

关键词： Monitoring Biomedical monitoring Artificial neural networks Prototypes Blood pressure Mobile communication Sensors

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MLEA： A Solution for Users of Android in UTPVirtual

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Computer Technology and Application 2011年第5期2卷 406-412页

作者： Gisela Torres de Clunie Sergio Crespo Coelho da Silva Pinto Aris Linet Castillo Lucas Monteiro Braz Tasia Serrao Norman Rangel Jeanette Riley Olinda de Barraza Kexy Rodriguez Computer Systems Engineering Department Technological University of Panama Panama 0819 Panama Computer Science Research and Graduate Program in Applied Computing University of the Sinos Valley （UNISINOS） RS 93022-000 Brazil CIDITIC Technological University of Panama Panama 0819 Panama

This paper describes a design of an educational platform for a mobile learning architecture, which is a state of the an topic in distance education. The product will allow users to interact in an efficient, flexible, and transparent fashion with a web-based education environment, in this case Module Object-Oriented Dynamic Learning Environment （Moodle）, using Android mobile devices. In order to provide a strong and lasting architecture, the Service Oriented Architecture （SOA） methodology is used given that it allows easy software re-utilization as well as integration of heterogeneous services. The architecture is based on web services implemented with Representational State Transfer （REST）, as it has been demonstrated to be lighter and less consuming than other protocols, for devices with limited resources such as mobile devices. Web services provide the communication means between the server side and the client side of the architecture, whereas agents are used to deliver the services itself. The authors propose the development of an environment that facilitates the integration of various educational resources to support m-learning. An important aspect of the proposal is the offering of a tool to provide customized alerts for students and teachers, enabling them to remain updated about activities taking place in the courses.

关键词： Distance learning virtual education m-learning service oriented architecture （SOA） mobile learning mobile computing interoperability representational state transfer （REST）.

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Methodology for Acquisition of Intensity Data in Forest Targets Using Terrestrial Laser Scanner

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IERI Procedia 2013年 5卷 238-244页

作者： Fabiane Bordin Elba Calesso Teixeira Sílvia Beatriz Alves Rolim Francisco Manoel Wohnrath Tognoli Maurício Roberto Veronez Luiz Gonzaga da Silveira Junior Camila Fernandes Natus de Souza Graduate Program in Remote Sensing Federal University of Rio Grande do Sul (UFRGS) Porto Alegre - RS Brazil Remote Sensing and Digital Cartography Laboratory (LASERCA) University of Vale do Rio dos Sinos (UNISINOS) São Leopoldo-RS Brazil State Foundation of Environmental Protection Luiz Henrique Roessler (FEPAM) Porto Alegre - RS Brazil Graduate Program in Geology University of Vale do Rio dos Sinos (UNISINOS) São Leopoldo-RS Brazil Graduate Program in Applied Computing University of Vale do Rio dos Sinos (UNISINOS) São Leopoldo-RS Brazil

The advance of technology and the availability of high-resolution and accurate systems have permitted the development of new methods for studies in forests. Terrestrial laser scanners have been consolidated as one of the most effective technologies for geospatial data acquisition since the last decade. They have offered the possibility of mapping tridimensionally with high positional accuracy a great number of targets, including forests. However, it is quite difficult to find methodological approaches for acquisition of forest data involving these type of systems. Thus, based on a mid and long range laser scanner with an electromagnetic spectrum ranging into the mid-infrared, 1535 nm, different distances and radiometric resolutions were tested in order to establish a method of acquisition of intensity data in forest targets. After processing, data were analyzed with a clustering algorithm to test the possibility of identifying different elements. Trunk, branches and leaves as well as an edge effect were satisfactorily grouped. Besides defining a method for acquisition of intensity, it opens good perspectives in terms of integrating the classification obtained by the clustering technique with the point cloud. Future studies can contribute to develop a method for quantifying the volume of forest elements and, consequently, estimate biomass.

关键词： Remote sensing Radiometric resolution Distance K-means algorithm LIDAR Mid-infrared Edge effect

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