http://hdl.handle.net/10366/133432 2026-05-03T15:37:24Z http://hdl.handle.net/10366/133638 This paper presents the results of the project, which goal is to analyze the production process capability after reengineering the assembly process due to expansion of a bus production plant. The verification of the designed work organization for the new configuration of workstations on new production hall is necessary. To solve these  problems authors propose a method based on mixing DES (Discrete Event Simulation) and ABS (Agent Based Simulation) approach. DES is using to model the main process – material flow (buses), ABS is using to model assembling operations of teams of  workers./nOne of obtained goal is to build a simulation model, which presents the new assembly line in the factory, taking into ac-count the arrangement of workstations and work teams in the new production hall as well as the transport between workstations. Second goal is to present work organization of work teams and division of individual workers’ labor (who belongs to a particular work team and performs operations on buses in a particular workstation) in order to determine the best allocation of tasks and the optimum size of individual work teams. Proposed solution enables to determine the effect of assembly interferences on the work of particular work teams and the efficiency of the whole production system, to define the efficiency of the designed assembly lines and proposing changes aimed at the quality improvement of the created conception.  2017-01-12T00:00:00Z http://hdl.handle.net/10366/133636 The textile industry is characterized by the economic activity whose objective is the production of fibres, yarns, fabrics, clothing and textile goods for home and decoration,as well as technical and industrial purposes. Within manufacturing, the Textile is one of the oldest and most complex sectors which includes a large number of sub-sectors covering the entire production cycle, from raw materials and intermediate products, to the production of final products. Textile industry activities present different subdivisions, each with its own traits. The length of the textile process and the variety of its technical processes lead to the coexistence of different sub-sectors in regards to their business structure and integration. The textile industry is developing expert systems applications to increase production, improve quality and reduce costs. The analysis of textile designs or structures includes the use of mathematical models to simulate the behavior of the textile structures (yarns, fabrics and knitting). The Finite Element Method (FEM) has largely facilitated the prediction of the behavior of that textile structure under mechanical loads. For classification problems Artificial Neural Networks (ANNs) haveproved to be a very effective tool as a quick and accurate solution. The Case-Based Reasoning (CBR) method proposed in this study complements the results of the finite element simulation, mathematical modeling and neural networks methods. 2017-01-12T00:00:00Z http://hdl.handle.net/10366/133637 Perhaps in the past was difficult to imagine that the moment in which someone could register each purchase that has been made, each book that has been read or each thing that has been said would come. That there would be companies storing data about our physical activity, behaviors, preferences and choices all the time. Most of the personal data comes from acts as daily as installing an application, completing a form, purchasing a product or requesting a service. This information provided sometimes consciously, voluntarily and with relative knowledge of the destination that will have, contrasts with situations in which data are inferred, deduced, extracted and manipulated.  In this sense, within a context in which the only access to the database has been left behind to give way to the creation of these by third parties, we wonder about the possible denaturation of the personal data and sensitive information that when get transformed in raw material through the analysis of existent connections and extraction of new data implicit in the multitude of information compiled in public or private databases, would convert  people into an essential product for the market; while the development of citizen profiles pay per view would allow predicting behaviors, selections and multiple deployments in different aspects of our lives. It is probable that in the defenselessness condition where we are now for having passed from personal space to social one and from there to the market many times without our knowledge and consent makes necessary to reconsider the current forms of protection and mechanisms of  legal protection around our personal data. 2017-01-12T00:00:00Z http://hdl.handle.net/10366/133635 This work outlines a unified formulation to represent spectral approaches for both dimensionality reduction and clustering. Proposed formulation starts with a generic latent variable model in terms of the projected input data matrix.Particularly, such a projection maps data onto a unknown high-dimensional space. Regarding this model, a generalized optimization problem is stated using quadratic formulations and a least-squares support vector machine.The solution of the optimization is addressed through a primal-dual scheme.Once latent variables and parameters are determined, the resultant model outputs a versatile projected matrix able to represent data in a low-dimensional space, as well as to provide information about clusters. Particularly, proposedformulation yields solutions for kernel spectral clustering and weighted-kernel principal component analysis. 2017-01-12T00:00:00Z http://hdl.handle.net/10366/133634 The Inter-American System of Protection of Human Rights is composed of microsystems, like the freedom of expression, the right to information and the protection of privacy and of personal data, among others. These rights interrelate and form the standards of the Inter-American system, in accordance with the UN system, to develop these liberties, and to keep the constant balance of these rights in conflict. All of this enhanced by a dynamic and growing massiveness, like the internet and by a new paradigm in which the freedom of expression and the right to information is included: a postmodern society characterized by a “democratization” of connectivity, a multidirectional transmission of the information and a dichotomy between what is public or private. Freedom of expression is developed in both of its two dimensions: individual or collective. When we talk about its individual dimension, we mean the right of each person to express his ideas, thoughts and beliefs aiming at unidirectional, bidirectional or multidirectional communication. The collective or social dimension refers to the right of a person to receive any type of information, to know the thoughts, ideas and information of others and have free access to them. Both dimensions are equally important and are interdependent, thus it is important to protect them simultaneously. New communication technologies have altered the previous system, and the individual dimension of freedom of expression breaks into public debate on the democratization of internet access and its social dimension due to the feasibility a multidirectional communication impossible to conceive in any other technological paradigm entails. The protection scheme of freedom of expression of the Inter-American System is particularly strong as it specifically prohibits prior censorship and rules sanctions and very strict restrictions in relation to discrimination, advocacy of war, violence and hatred. This characteristic enriches the analysis of content regulation and the responsibility of internet intermediaries whenever honour, reputation and privacy are impaired. The applied standards and statements that nourish in the American Convention on Human Rights guarantee the reasonableness, appropriateness and proportionality of any measure assuring freedom of expression and human dignity.; The Inter-American System of Protection of Human Rights is composed of microsystems, like the freedom of expression, the right to information and the protection of privacy and of personal data, among others. These rights interrelate and form the standards of the Inter-American system, in accordance with the UN system, to develop these liberties, and to keep the constant balance of these rights in conflict. All of this enhanced by a dynamic and growing massiveness, like the internet and by a new paradigm in which the freedom of expression and the right to information is included: a postmodern society characterized by a “democratization” of connectivity, a multidirectional transmission of the information and a dichotomy between what is public or private. Freedom of expression is developed in both of its two dimensions: individual or collective. When we talk about its individual dimension, we mean the right of each person to express his ideas, thoughts and beliefs aiming at unidirectional, bidirectional or multidirectional communication. The collective or social dimension refers to the right of a person to receive any type of information, to know the thoughts, ideas and information of others and have free access to them. Both dimensions are equally important and are interdependent, thus it is important to protect them simultaneously. New communication technologies have altered the previous system, and the individual dimension of freedom of expression breaks into public debate on the democratization of internet access and its social dimension due to the feasibility a multidirectional communication impossible to conceive in any other technological paradigm entails. The protection scheme of freedom of expression of the Inter-American System is particularly strong as it specifically prohibits prior censorship and rules sanctions and very strict restrictions in relation to discrimination, advocacy of war, violence and hatred. This characteristic enriches the analysis of content regulation and the responsibility of internet intermediaries whenever honour, reputation and privacy are impaired. The applied standards and statements that nourish in the American Convention on Human Rights guarantee the reasonableness, appropriateness and proportionality of any measure assuring freedom of expression and human dignity. 2017-01-12T00:00:00Z http://hdl.handle.net/10366/133633 Mobile robots need to manage a lot of sensors and actuators using micro-controllers.To do complexes tasks, a highly computation central unit is also needed. In many cases, a robot is a intelligent distributed system formed with a central unit, which manages and distributes several specific tasks to some micro-controller embedded systems onboard.Now these embedded systems are also evolving to more complex systems that are developed not only for executing simple tasks but offering some advanced algorithmsjust as complex data processing, adaptive execution, or fault-tolerance and alarm rising mechanisms. To manage these types of embedded systems a paradigm, calledSmart Resource has been developed. Smart Resources topology has been raised to manage resources which execution relies on a physical embedded hardware. TheseSmart Resources are defined as a list of distributed services that can configure its execution in order to accomplish a context and quality requirements. In order to provide a more general implementation Smart Resources are integrated into the RobotOperating System (ROS). Paper presents a solution based on the Turtlebot platformrunning ROS. The solution shows how robots can make use of all the functions andmechanisms provided by the ROS and the distribution, reliability and adaptability ofthe Smart Resources. In addition it is also addressed the flexibility and scalability ofimplementation by combining real and simulated devices into the same platform 2017-01-12T00:00:00Z http://hdl.handle.net/10366/133632 Unphotographic images are the powerful representations described various situations. Thus, understanding intellectual products such as comics and picture books is one of the important topics in the field of artificial intelligence. Hence, stepwise analysis of a comic story, i.e., features of a part of the image, information features, features relating to continuous scene etc., was pursued. Especially, the length and each scene of four-scene comics are limited so as to ensure a clear interpretation of the contents.In this study, as the first step in this direction, the problem to classify two four-scene comics by the same artists were focused as the example. Several classifiers were constructed by utilizing a Convolutional Neural Network(CNN), and the results of classification by a human annotator and by a computational method were compared.From these experiments, we have clearly shown that CNN is efficient way to classify unphotographic gray scaled images and found that characteristic features of images to classify incorrectly. 2017-01-12T00:00:00Z http://hdl.handle.net/10366/133631 2017-03-18T00:00:00Z http://hdl.handle.net/10366/133630 2017-03-18T00:00:00Z