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Publicações

2018

Improved fabrication of polymeric optical fiber tweezers for single cell detection

Autores
Rodrigues, SM; Paiva, JS; Ribeiro, RSR; Soppera, O; Jorge, PAS;

Publicação
Optics InfoBase Conference Papers

Abstract
A new fabrication method of polymeric optical fiber tweezers with a multi-mode tip is presented. Preliminary results show higher robustness, improved ability for 2D trapping and differentiation of particles based on back-scattering analysis. © OSA 2018 © 2018 The Author(s)

2018

A two-phase MILP approach to integrate order, customer and manufacturer characteristics into Dynamic Manufacturing Network formation and operational planning

Autores
Sadic, S; de Sousa, JP; Crispim, JA;

Publicação
EXPERT SYSTEMS WITH APPLICATIONS

Abstract
A Dynamic Manufacturing Network (DMN) is the manufacturing industry application of the Virtual Enterprise (VE) business model based on real time information sharing and process integration. DMNs are normally formed and supported by a collaborative platform previously designed and built by a preexisting strategic partnership. The collaborative platform forms and tracks each DMN through all phases of its life cycle which leads to the accumulation and storage of large historical datasets on partner and customer characteristics and actions. This data holds the key to customer and manufacturer behavioral patterns and performances that can further be used in the decision making processes. In this study, we have focused on tackling this widely neglected research opportunity, by integrating manufacturer, order and customer data and characteristics into DMN formation and planning. The developed big data analytics approach consists of TOPSIS, fuzzy inference system and multi objective optimization techniques. Initially, by integrating the TOPSIS multi criteria decision making technique with a fuzzy inference system (FIS) we have computed indices for Manufacturer reliability and Order priority. Then we developed a multi-objective mixed integer linear programming (MILP) model to generate efficient solutions minimizing cost and assigning more reliable manufacturers to orders with higher priority.

2018

Using robotics to teach systems engineering: A hands-on learning course example

Autores
Silva, MF; Dias, AP; Costa, MT;

Publicação
Human-Centric Robotics- Proceedings of the 20th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2017

Abstract
The BSc in Systems Engineering, taught at the School of Engineering of the Porto Polytechnic (ISEP–PPorto), includes the development of team projects at the end of each semester. These projects are intended to be multidisciplinary, to allow students getting a systems perspective of the problems, and as a way to integrate knowledge from different scientific areas. To integrate the knowledge in electronics, microcontrollers and programming, common in several distinct systems nowadays, there is a course named Systems Labs I (LSIS1). This paper discusses the experience of teaching this course using a robotics based approach. The analysis is based on a survey conducted to the students enrolled in the course in the last three academic years, allowing to conclude that the overall students experience with the attendance of LSIS1 course is good. © 2018 by World Scientific Publishing Co. Pte. Ltd.

2018

Disruptive data visualization towards zero-defects diagnostics

Autores
Ferreira, L; Putnik, GD; Lopes, N; Garcia, W; Cruz Cunha, MM; Castro, H; Varela, MLR; Moura, JM; Shah, V; Alves, C; Putnik, Z;

Publicação
11TH CIRP CONFERENCE ON INTELLIGENT COMPUTATION IN MANUFACTURING ENGINEERING

Abstract
Innovative processes become available due to the high processing capacity of emergent infrastructures, such as cloud and ubiquitous computing and organizational infrastructures and applications. However, these intense computation processes are difficult to follow, where co-decision is required, for which the existence of disruptive visualization and collaboration tools that offer a visual tracing capacity with integrated decision supporting tools, are critical for its sustainable success. This project proposes: a) a set of immersive and disruptive visualization tools, supported by virtual and augmented reality, that enables a global perspective of any production agents; b) a data analytics tool to complement and assist the decision making; c) a resource federated network that allows the brokering and interaction between all existing resources; and d) a dynamic context-aware dashboard, to improve the overall productive process and contribute to intelligent manufacturing systems. The application domain addressed is Zero-Defects Diagnostics in manufacturing as well as in Industry 4.0 in general. © 2017 The Authors.

2018

Multicriteria Location-Routing Problems with Sectorization

Autores
Martinho, A; Alves, E; Rodrigues, AM; Ferreira, JS;

Publicação
OPERATIONAL RESEARCH

Abstract
Logistic decisions involving the location of facilities in connection with vehicle routing appear in many contexts and applications. Given a set of potential distribution centers (DC) and a group of clients, the choice of which DC to open together with the design of a number of vehicle routes, satisfying clients' demand, may define Location-Routing Problems (LRP). This paper contributes with a new method, the 4-Phase Method (4-PhM), to deal with Capacitated LRP. Relevant advantages of 4-PhM are its generality, the possibilities of handling Multiple-Criteria and of facing large dimension problems. This last aptitude is a consequence of the sectorization phases, which permit a simplification of the solution space. Sectors are constructed by two Simulated Annealing based procedures, and they follow SectorEl, a sectorization approach inspired by electrostatics. In the last phase, the results obtained are evaluated using multicriteria analysis. Here, decision makers play an important role by reflecting preferences in a pairwise comparison matrix of the Analytic Hierarchy Process. Computational results, based on randomly generated instances, confirm the expectations about 4-PhM and its potentiality to deal with LRP.

2018

CSS Preprocessing: Tools and Automation Techniques

Autores
Queirós, R;

Publicação
INFORMATION

Abstract
Cascading Style Sheets (CSS) is a W3C specification for a style sheet language used for describing the presentation of a document written in a markup language, more precisely, for styling Web documents. However, in the last few years, the landscape for CSS development has changed dramatically with the appearance of several languages and tools aiming to help developers build clean, modular and performance-aware CSS. These new approaches give developers mechanisms to preprocess CSS rules through the use of programming constructs, defined as CSS preprocessors, with the ultimate goal to bring those missing constructs to the CSS realm and to foster stylesheets structured programming. At the same time, a new set of tools appeared, defined as postprocessors, for extension and automation purposes covering a broad set of features ranging from identifying unused and duplicate code to applying vendor prefixes. With all these tools and techniques in hands, developers need to provide a consistent workflow to foster CSS modular coding. This paper aims to present an introductory survey on the CSS processors. The survey gathers information on a specific set of processors, categorizes them and compares their features regarding a set of predefined criteria such as: maturity, coverage and performance. Finally, we propose a basic set of best practices in order to setup a simple and pragmatic styling code workflow.

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