São Paulo Federal Institute of Education, Science and Technology

About: São Paulo Federal Institute of Education, Science and Technology is a education organization based out in São Paulo, Brazil. It is known for research contribution in the topics: Context (language use) & Computer science. The organization has 1707 authors who have published 2374 publications receiving 11333 citations.

Discrete simulation applied to queue management in a supermarket

Abstract: This research presents a case study related to the management of queues in a supermarket and the problems found in the organization of this process. In order to reduce the time that customers remain in the checkout lines, an analysis of the environment (supermarket) was carried out virtually through the discrete simulation technique, linked to the Arena software. This technique is classified as quantitative because it makes it possible to measure entities and predict the action of the environment in a way that mimics the reality of the queues at the site. Through the simulated scenario, it was possible to identify the flaws in the process and the cause of the queuing. Through the results of the simulation, it was observed that the average length of stay in the queue would be reduced by 88.23% if it contemplates the inclusion of 2 to 3 employees to perform the service. Note that the application of this technique is favorable for problem solving and decision-making, as it reduces the time that customers spend in the queue and optimizes the financial investments allocated in this area.

Resource Allocation Technique for Edge Computing Using Grey Wolf Optimization Algorithm

Abstract: The explosion of IoT technology poses new challenges for researchers in the concept of cloud computing, mainly in improving the distribution of services, which need to be provided with greater efficiency and less latency. Therefore, this work seeks to optimize the methodology of resource allocation in Edge Computing, seeking to improve the quality of service (QoS) to the user. For this, it was developed an algorithm for efficient resource allocation using grey wolves optimization technique, named as Resource Allocation Technique for Edge Computing (RATEC). The algorithm adopted the meta-heuristic technique to choose the best Edge when allocating the resources of user equipment (UE). In this work, it was considered that the UEs are composed of processing, storage, time and memory resources. The algorithm uses these resources to calculate the fitness of each Edge and decide which one to allocate, if available. The RATEC has been compared with two other policies and has managed to serve a number most significant of UEs, reducing the number of services refused and presenting a low number of blockages while searching for an Edge.

Estudo do Conhecimento em Empresas de Base Tecnológica Incubadas: Proposição de um Modelo Conceitual Integrativo

Abstract: O uso intensivo de conhecimento cientifico e tecnologico em empresas de base tecnologica (EBTs) e uma condicao essencial para que essas empresas sejam competitivas e possam materializar tal conhecimento por meio de inovacoes tecnologicas oferecidas ao mercado. Geralmente relacionadas ao conceito de empreendedorismo, as EBTs desempenham uma importante funcao no desenvolvimento socio economico das regioes onde atuam e, para tanto, ao serem empreendidas podem usufruir do apoio de habitats de inovacao, como e o caso das incubadoras. As incubadoras sao possiveis indutoras da formacao de redes de conhecimento capazes de suportar as relacoes dos empreendimentos incubados com os diversos publicos de interesse, uma vez que dispoe da estrutura e recursos necessarios. Ao fomentar a consolidacao de tais redes, as incubadoras passam a estimular a convergencia do conhecimento por meio de fatores endogenos e exogenos ao ambiente de incubacao e, dessa forma, as EBTs podem usufruir dessas relacoes . Nesse entendimento, o presente estudo busca contribuir para a compreensao da convergencia do conhecimento em EBTs e propoe um modelo conceitual integrativo a partir de um ensaio teorico a luz do estado da arte relacionado ao tema.

Parallel Computational Structure and Semantics for Soil Quality Analysis Based on LoRa and Apache Spark

Abstract: A large volume of data is being produced by agrometeorological stations, satellites, Unmanned Aerial Vehicles (UAV), agricultural machines, among other equipment's, all used for agricultural management in food production. Related to that, actually, there are demands for the organization of new computational techniques for agricultural risk management. Therefore, the data volume is immense, and there are challenges to execute them based on both conventional algorithms and architectures. This paper presents the organization of a new parallel model based on semantics and the Apache Spark framework for agricultural risk management related to soil quality. Based in such concept, a parallel algorithm is proposed to distribute tomographic images of soil to several nodes, as well as, to ask them for not only pore recognition, but also for soil density and soil compaction measurements from those images. Besides, the developed parallel algorithm allowed to obtain a better performance gains and reduction of the time required to generate maps for agricultural soil quality, i.e., to support decision making in such field of interest.