Indoor location using fingerprinting and fuzzy logic

Indoor location systems cannot rely on technologies such as GPS (Global Positioning System) to determine the position of a mobile terminal, because its signals are blocked by obstacles such as walls, ceilings, roofs, etc. In such environments. The use of alternative techniques, such as the use of wireless networks, should be considered. The location estimation is made by measuring and analysing one of the parameters of the wireless signal, usually the received power. One of the techniques used to estimate the locations using wireless networks is fingerprinting. This technique comprises two phases: in the first phase data is collected from the scenario and stored in a database; the second phase consists in determining the location of the mobile node by comparing the data collected from the wireless transceiver with the data previously stored in the database. In this paper an approach for localisation using fingerprinting based on Fuzzy Logic and pattern searching is presented. The performance of the proposed approach is compared with the performance of classic methods, and it presents an improvement between 10.24% and 49.43%, depending on the mobile node and the Fuzzy Logic parameters.ł

RSS and LEA adaptation for indoor location using fingerprinting

Fingerprinting is an indoor location technique, based on wireless networks, where data stored during the offline phase is compared with data collected by the mobile device during the online phase. In most of the real-life scenarios, the mobile node used throughout the offline phase is different from the mobile nodes that will be used during the online phase. This means that there might be very significant differences between the Received Signal Strength values acquired by the mobile node and the ones stored in the Fingerprinting Map. As a consequence, this difference between RSS values might contribute to increase the location estimation error. One possible solution to minimize these differences is to adapt the RSS values, acquired during the online phase, before sending them to the Location Estimation Algorithm. Also the internal parameters of the Location Estimation Algorithms, for example the weights of the Weighted k-Nearest Neighbour, might need to be tuned for every type of terminal. This paper focuses both approaches, using Direct Search optimization methods to adapt the Received Signal Strength and to tune the Location Estimation Algorithm parameters. As a result it was possible to decrease the location estimation error originally obtained without any calibration procedure.

Redução de ruído ambiental em área de produção industrial

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em: Instrumentação Manutenção Industrial e Qualidade

An internet remote laboratory to teach industrial automation

This paper presents the new internet remote laboratory (IRL), constructed at Mechanical Engineering Department (MED), Instituto Superior de Engenharia de Lisboa (ISEL), to teach Industrial Automation, namely electropneumatic cycles. The aim of this work was the development and implementation of a remote laboratory that was simple and effective from the user point of view, allowing access to all its functionalities through a web browser without having to install any other program and giving access to all the features that the students can find at the physical laboratory. With this goal in mind, it has been implemented a simple architecture with the new programmable logic controller (PLC) SIEMENS S7-1200, and with the aid of several free programs, programming technologies such as JavaScript, PHP and databases, it was possible to have a remote laboratory, with a simple interface, to teach industrial automation students.

Optimal location of supports in beam structures using genetic algorithms

Real structures can be thought as an assembly of components, as for instances plates, shells and beams. This later type of component is very commonly found in structures like frames which can involve a significant degree of complexity or as a reinforcement element of plates or shells. To obtain the desired mechanical behavior of these components or to improve their operating conditions when rehabilitating structures, one of the eventual parameters to consider for that purpose, when possible, is the location of the supports. In the present work, a beam-type structure is considered, and for a set of cases concerning different number and types of supports, as well as different load cases, the authors optimize the location of the supports in order to obtain minimum values of the maximum transverse deflection. The optimization processes are carried out using genetic algorithms. The results obtained, clearly show a good performance of the approach proposed. © 2014 IEEE.

Optimal location of the workpiece in a PKM-based machining robotic cell

Most machining tasks require high accuracy and are carried out by dedicated machine-tools. On the other hand, traditional robots are flexible and easy to program, but they are rather inaccurate for certain tasks. Parallel kinematic robots could combine the accuracy and flexibility that are usually needed in machining operations. Achieving this goal requires proper design of the parallel robot. In this chapter, a multi-objective particle swarm optimization algorithm is used to optimize the structure of a parallel robot according to specific criteria. Afterwards, for a chosen optimal structure, the best location of the workpiece with respect to the robot, in a machining robotic cell, is analyzed based on the power consumed by the manipulator during the machining process.

Unified cooperative location system

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para a obtenção do Grau de Mestre em Engenharia Informática.

Manutenção industrial e custo do ciclo de vida - extracção oleaginosas

Dissertação apresentada na Faculdade de Ciências e Tecnologias para obtenção do grau de Mestre em Engenharia e Gestão Industrial

Análise de funções de segurança num processo industrial e num posto de transformação de energia eléctrica, numa industria papeleira, aplicando a metodologia SFA

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Engenharia Industrial

Location-Based services - A crescente importância da localização

Dissertação apresentada como requisito parcial para obtenção do grau de Mestre em Estatística e Gestão de Informação

Integração da análise energética na gestão Industrial de uma refinaria de açúcar

Mestrado em Engenharia Química - Optimização Energética na Industria Química

Remote experimentation: integrating research, education, and industrial application

This paper presents a low-cost scaled model of a silo for drying and airing cereal grains. It allows the control and monitor of several parameters associated to the silo's operation, through a remote accessible infrastructure. The scaled model consists of a 2.50 m wide × 2.10 m long plant with all control and monitor capacities provided by micro-Web servers. An application running on the micro-Web servers enables storing all parameters in a data basis for later analysis. The implemented model aims to support a remote experimentation facility for technological education, research-oriented tutorials, and industrial applications. Given the low-cost requirement, this remote facility can be easily replicated in other institutions to support a network of remote labs, which encompasses the concurrent access of several users (e.g. students).

Desenvolvimento de uma nova unidade fabril da Efacec

No âmbito da Unidade Curricular Dissertação, inserida no segundo ano do Mestrado em Engenharia Mecânica – Gestão Industrial do Instituto Superior de Engenharia do Porto, foi proposto um projecto que está a ser desenvolvido pela equipa de Engenharia e Gestão Industrial, da unidade de negócios AMT, intitulado por: “Projecto Índia – Desenvolvimento da nova unidade fabril” Este projecto tem como principal objectivo o desenvolvimento de uma fábrica de excelência na Índia de fabricação de componentes de média tensão, isto é, com processos logísticos bem definidos e com linhas de produção o mais automatizadas possivel. Esta nova fábrica de raiz, vai ser gerida e decalcada do modelo atualmente existe na fábrica da EFACEC de componentes de média tensão existente em Portugal. Numa primeira fase do desenvolvimento do projecto, foi seleccionado um edifício com cerca de 1600m2 em Nashik, uma localidade a cerca de 171 Km de Mumbai, onde se encontram 80% dos fornecedores da EFACEC. Foram identificados os produtos a serem fabricados e quantificada a respectiva procura anual. Foi efectuado o balanceamento de cada uma das linhas e desenhado o layout. Neste layout contemplou-se as áreas de produção, laboratório, gabinetes de chefes de equipa, expedição, recepção e armazém. Após a definição das áreas de montagem de cada produto, iniciou-se a concepção das linhas de produção, sobretudo automáticas, com a definição da cadência de produção. A linha de fabricação que é especialmente detalhada neste documento é a linha de montagem dos comandos CI. Este é o produto com mais procura. Foi também definido o processo logístico do fluxo interno da fábrica. Nas linhas de produção foi implementado o sistema de controlo de fluxo baseado em cartões Kanban e no armazém criou-se um novo conceito de controlo e localização de produtos, o “Aquiles”. O Aquiles permite automaticamente e através da leitura de código de barras, indexar os artigos nas estantes. Cada artigo e cada estante e/ou localização estão codificados e no momento de recepção de material o código do artigo é associado ao código da estante. No âmbito de explorar todas as soluções possíveis para a um melhor desenvolvimento desta nova fábrica foram abordados temas como “JIT”, “Pull Flow”, “Kanban”, “Takttime”.