984 resultados para conhecimento físico


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The Knowledge Management in organizations is a continuous process of learning that is given by the integration of data, information and the ability of people to use this information. The Management Skills is concerned to understand the powers of officials in the face of organizational skills (teams) and professionals (or tasks positions) want. Joints are located in the greater context of the economy of organizatio s and have the same assumption: that the possession of scarce resources, valuable and difficult to imitate gives the organization a competitive advantage. In this sense, this thesis proposes a model of knowledge management based on analysis of GAP of powers, namely the gap between the skills needed to reach the expected performance and skills already available in the organization, officials and trainees of Coordination of Registration of conductors of DETRAN-RN. Using the method of survey research could make an analysis of academic skills, techniques and emotional individual and a team of officials and trainees, identifying levels of GAP's competence in that sector of the organization and suggest a plan for training , A level of expertise for each sector of coordination, and propose a model for Knowledge Management to help the management of GAP's identified

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This dissertation presents a discussion on the level of risk awareness of students who have welding practice in the laboratories at CEFET/PI, both in Teresina and Floriano. Its main goal is to investigate risk factors involving students, teachers and employees that work in these laboratories. It s an empirical survey, held among a certain amount of students from the course in Mechanic Technology. For data analysis, the concept of risk was compared to the students direct measure of perception. The main results suggest the students must be better informed, more risk aware and more competent, in order to avoid accidents. They also point to a strong need for a more formal and effective performance to assure full consciousness about the risks involving the welding practice.

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This paper proposes a methodology for building Information Technology solutions in the form of virtual environments that allow for collaborative construction and democratization of knowledge for and about supply chains, providing tools for collaboration iteration and the social actors involved, valuing its environmental variables and assisting in its development. The scope of supply chains of aquaculture and fisheries and www.redeagua.com.br were the objects of research and prototyping of this paper. AVA Moodle was chosen to create the environment in question by their full fitness the socio-cultural characteristics of the target audience and the structure of existing digital inclusion, making necessary the development of strategies to generate interest from productive agents in their effective participation as collaborators and not just as recipients of content. The structure of this survey work will be qualitative-quantitative, using both traditional elements such as forms and interviews as sources typical of virtual environments, such as statistical reports of visitation and placement in search engines on the Internet

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The telecommunications play a fundamental role in the contemporary society, having as one of its main roles to give people the possibility to connect them and integrate them into society in which they operate and, therewith, accelerate development through knowledge. But as new technologies are introduced on the market, increases the demand for new products and services that depend on the infrastructure offered, making the problems of planning of telecommunication networks become increasingly large and complex. Many of these problems, however, can be formulated as combinatorial optimization models, and the use of heuristic algorithms can help solve these issues in the planning phase. This paper proposes the development of a Parallel Evolutionary Algorithm to be applied to telecommunications problem known in the literature as SONET Ring Assignment Problem SRAP. This problem is the class NP-hard and arises during the physical planning of a telecommunication network and consists of determining the connections between locations (customers), satisfying a series of constrains of the lowest possible cost. Experimental results illustrate the effectiveness of the Evolutionary Algorithm parallel, over other methods, to obtain solutions that are either optimal or very close to it

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This study discusses the use of information technologies for knowledge management in networks of franchises in the Rio Grande do Norte/Brazil, whose management and operation are complex activities, characterized by the geographic spread of their network unities, creating barriers to communication and information sharing between franchisors, franchisees and final customers. In view of this, the following hypotheses were formulated: the knowledge management can be a positive alternative for improving communication between units; and information technology can eliminate many problems related mainly to capture and share knowledge. In general, it aims to investigate, in qualitative and quantitative aspects, how information technology can support knowledge management in networks of franchises. Specifically purposes to register the existence of managerial practices related to knowledge management in enterprises at the franchising sector; to verify whether they have the technological resources with the potential to facilitate the sharing of information; to identify what are the technologies of information and communication used in the organizational environment; and suggest measures that will facilitate the process of organizational learning, using information technology and communication as tools. It concludes that knowledge management becomes a positive alternative, especially in strengthening of bonds of communication and sharing of knowledge between the franchises. In this regard, information technology must provide all the services of the corporation to facilitate communication between franchisor and franchisee, through a single and integrated system. However, they still show unsuitable for more sophisticated technology platforms

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The study examines the process of Knowledge Management and Technological Innovation in Small and Micro Enterprises (SME) in Rio Grande do Norte, Brazil, and proposes actions that can contribute to regional development and competitiveness of SME. Presents as technological innovation can help to make the SME entrepreneurial activities with innovative and competitive. Defines the phases and activities of the construction of knowledge in small organizations. Examines the process of Innovation, Research and Development (R & D) in SME. Identifies the use of knowledge management and technological innovation in management practices and social interaction to influence the competitiveness of SME. Covers the communities of practice as a diffuser of knowledge and learning. To obtain the data were used questionnaires with closed questions with multiple choice, direct observations and interviews with companies. The questionnaires and interviews covered the topics of Innovation, Knowledge Management and Competitive Intelligence on SME. The sample consisted of a total of 13 Small and Micro Enterprises Award winning MPE Brazil Competitiveness, sponsored by SEBRAE in the State of Rio Grande do Norte. The assessment questionnaires dealing with the Knowledge Management (KM Diagnostics - Model Bukowitz and Williams, 2002) and the process of Technological Innovation (Adaptation of ANPEI - National Association for Research, Development and Engineering of Innovative Companies). With the analysis, we concluded that the SME perceive knowledge management, but not formalized management practices so as to facilitate the dissemination of information. Soon, these companies need additional supports to direct them to the innovative activities that generate added value and competitiveness in the market

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The knowledge management has received major attention from product designers because many of the activities within this process have to be creative and, therefore, they depend basically on the knowledge of the people who are involved in the process. Moreover, Product Development Process (PDP) is one of the activities in which knowledge management manifests in the most critical form once it had the intense application of the knowledge. As a consequence, this thesis analyzes the knowledge management aiming to improve the PDP and it also proposes a theoretical model of knowledge management. This model uses five steps (creation, maintenance, dissemination, utilization and discard) through the verification of the occurrence of four types of knowledge conversion (socialization, externalization, combination and internalization) that it will improve the knowledge management in this process. The intellectual capital in Small and Medium Enterprises (SMEs) managed efficiently and with the participation of all employees has become the mechanism of the creation and transference processes of knowledge, supporting and, consequently, improving the PDP. The expected results are an effective and efficient application of the proposed model for the creation of the knowledge base within an organization (organizational memory) aiming a better performance of the PDP. In this way, it was carried out an extensive analysis of the knowledge management (instrument of qualitative and subjective evaluation) within the Design department of a Brazilian company (SEBRAE/RN). This analysis aimed to know the state-of-the-art of the Design department regarding the use of knowledge management. This step was important in order to evaluate in the level of the evolution of the department related to the practical use of knowledge management before implementing the proposed theoretical model and its methodology. At the end of this work, based on the results of the diagnosis, a knowledge management system is suggested to facilitate the knowledge sharing within the organization, in order words, the Design department

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O objetivo nesta pesquisa foi avaliar o efeito de dois ingredientes protéicos da dieta (farelo de soja e de algodão) e de dois processamentos físicos do concentrado (farelado e extrusado) na terminação de 16 bovinos machos não-castrados da raça Canchim. Avaliaram-se ainda a excreção de nutrientes nos dejetos e o potencial de produção de biogás. Os animais tinham 12 meses de idade e 315 kg PC, em média, e foram confinados em baias individuais durante 147 dias (os primeiros 35 dias foram de adaptação). Como volumoso utilizou-se silagem de milho, em uma relação volumoso:concentrado de 50:50, com base na MS. Os resultados foram analisados em delineamento inteiramente casualizado, em esquema fatorial 2 × 2 (fonte protéica × processamento físico). A fonte protéica influenciou o ganho de peso corporal (1,50 e 1,35 kg/dia para o farelo de soja e de algodão, respectivamente), a conversão alimentar (4,73 e 5,31 kg MS ingerida/kg de ganho de peso, respectivamente) e a eficiência protéica (1,78 e 1,59 kg de ganho de peso/kg PB ingerida, respectivamente). O tratamento físico do concentrado e a fonte protéica não influenciaram a ingestão de MS, a área de olho-de-lombo e a espessura de gordura, estimadas por ultra-som. O balanço de nutrientes foi semelhante entre tratamentos para MS, FDN e FDA, mas a fonte protéica determinou diferenças no balanço de PB. Entre os macro e microminerais quantificados nas fezes, os teores de P e Mg diferiram entre as fontes protéicas e a extrusão aumentou o conteúdo de Ca, com médias de 0,39 e 0,43 g/100 g de MS de dejetos, respectivamente, para os concentrados farelado e extrusado. Os dejetos produziram biogás de maneira efetiva entre o 70º e o 200º dia.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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O presente trabalho teve como objetivo avaliar a qualidade pós-colheita de jabuticabas submetidas a diferentes temperaturas de armazenamento refrigerado (AR). Após a colheita, os frutos fisiologicamente maduros foram acondicionados em bandejas de poliestireno expandido (EPS), revestidas por filme plástico de polietileno de baixa densidade (PEBD) e armazenados sob refrigeração a 0; 3; 6; 9 e 12 ± 1ºC e U.R. 87 ± 2%, sendo avaliados a cada 5 dias. Os frutos foram avaliados quanto à perda de massa, atividade respiratória, pH, acidez titulável, sólidos solúveis, ácido ascórbico, textura, pectina total e solúvel, atividade da enzima polifenoloxidase (PFO), compostos fenólicos e atividade antioxidante. Para frutos refrigerados a 9 e 12ºC, o pico respiratório atrasou em relação aos demais tratamentos, além de apresentarem as menores taxas respiratórias. O teor de sólidos solúveis aumentou com o tempo de armazenamento para todas as temperaturas, contudo, em 9 e 12ºC, esse aumento foi em menor proporção. A firmeza e o teor de ácido ascórbico também foram superiores nos frutos armazenados a 9 e 12ºC, enquanto os contéudos de pectina solúvel foram menores. Observou-se a diminuição da atividade da enzima PFO ao longo dos 30 dias do AR, independentemente da temperatura utilizada; entretanto, os menores valores foram encontrados nos frutos mantidos a 9 e 12ºC. Os frutos armazenados a 12ºC apresentaram os maiores conteúdos de compostos fenólicos totais e a maior atividade antioxidante ao final do experimento. Nesse sentido, a temperatura de 12ºC foi a mais efetiva na manutenção da qualidade pós-colheita das jabuticabas.

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The use of graphical objects three-dimensional (3D) multimedia applications is gaining more space in the media. Networks with high transmission rates, computers with large processing and graphics boost and popularize such three-dimensional applications. The areas of 3D applications ranging from military applications, entertainment applications geared up for education. Within the applications related to education, we highlight the applications that create virtual copies of cultural spaces such as museums. Through this copy, you can virtually visit a museum, see other users, communicate, exchange information on works, etc. Thereby allowing the visit museums physically distant remote users. A major problem of such virtual environments is its update. By dealing with various media (text, images, sounds, and 3D models), its subsequent handling and update on a virtual environment requires staff with specialized knowledge. Speaking of museums, they hardly have people on your team with this profile. Inside the GT-MV (Grupo de Trabalho de Museus Virtuais), funded by RNP (Rede Nacional de Ensino e Pesquisa) propose a portal for registration, amendment and seen collaborative virtual museums of Brazil. The update, be it related to work or physical space, a system with a national scale like this, would be impossible if done only by the project team. Within this scenario, we propose the modeling and implementation of a tool that allows editing of virtual spaces in an easy and intuitive as compared with available tools. Within the context of GT-MV, we apply the SAMVC (Sistema de Autoria de Museus Virtuais Colaborativos) to museums where curators build the museum from a 3D floor plan (2D). The system, from these twodimensional information, recreates the equivalent in three dimensions. With this, through little or no training, team members from each museum may be responsible for updating the system

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Attacks to devices connected to networks are one of the main problems related to the confidentiality of sensitive data and the correct functioning of computer systems. In spite of the availability of tools and procedures that harden or prevent the occurrence of security incidents, network devices are successfully attacked using strategies applied in previous events. The lack of knowledge about scenarios in which these attacks occurred effectively contributes to the success of new attacks. The development of a tool that makes this kind of information available is, therefore, of great relevance. This work presents a support system to the management of corporate security for the storage, retrieval and help in constructing attack scenarios and related information. If an incident occurs in a corporation, an expert must access the system to store the specific attack scenario. This scenario, made available through controlled access, must be analyzed so that effective decisions or actions can be taken for similar cases. Besides the strategy used by the attacker, attack scenarios also exacerbate vulnerabilities in devices. The access to this kind of information contributes to an increased security level of a corporation's network devices and a decreased response time to occurring incidents

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This paper presents an evaluative study about the effects of using a machine learning technique on the main features of a self-organizing and multiobjective genetic algorithm (GA). A typical GA can be seen as a search technique which is usually applied in problems involving no polynomial complexity. Originally, these algorithms were designed to create methods that seek acceptable solutions to problems where the global optimum is inaccessible or difficult to obtain. At first, the GAs considered only one evaluation function and a single objective optimization. Today, however, implementations that consider several optimization objectives simultaneously (multiobjective algorithms) are common, besides allowing the change of many components of the algorithm dynamically (self-organizing algorithms). At the same time, they are also common combinations of GAs with machine learning techniques to improve some of its characteristics of performance and use. In this work, a GA with a machine learning technique was analyzed and applied in a antenna design. We used a variant of bicubic interpolation technique, called 2D Spline, as machine learning technique to estimate the behavior of a dynamic fitness function, based on the knowledge obtained from a set of laboratory experiments. This fitness function is also called evaluation function and, it is responsible for determining the fitness degree of a candidate solution (individual), in relation to others in the same population. The algorithm can be applied in many areas, including in the field of telecommunications, as projects of antennas and frequency selective surfaces. In this particular work, the presented algorithm was developed to optimize the design of a microstrip antenna, usually used in wireless communication systems for application in Ultra-Wideband (UWB). The algorithm allowed the optimization of two variables of geometry antenna - the length (Ls) and width (Ws) a slit in the ground plane with respect to three objectives: radiated signal bandwidth, return loss and central frequency deviation. These two dimensions (Ws and Ls) are used as variables in three different interpolation functions, one Spline for each optimization objective, to compose a multiobjective and aggregate fitness function. The final result proposed by the algorithm was compared with the simulation program result and the measured result of a physical prototype of the antenna built in the laboratory. In the present study, the algorithm was analyzed with respect to their success degree in relation to four important characteristics of a self-organizing multiobjective GA: performance, flexibility, scalability and accuracy. At the end of the study, it was observed a time increase in algorithm execution in comparison to a common GA, due to the time required for the machine learning process. On the plus side, we notice a sensitive gain with respect to flexibility and accuracy of results, and a prosperous path that indicates directions to the algorithm to allow the optimization problems with "η" variables

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The opening of the Brazilian market of electricity and competitiveness between companies in the energy sector make the search for useful information and tools that will assist in decision making activities, increase by the concessionaires. An important source of knowledge for these utilities is the time series of energy demand. The identification of behavior patterns and description of events become important for the planning execution, seeking improvements in service quality and financial benefits. This dissertation presents a methodology based on mining and representation tools of time series, in order to extract knowledge that relate series of electricity demand in various substations connected of a electric utility. The method exploits the relationship of duration, coincidence and partial order of events in multi-dimensionals time series. To represent the knowledge is used the language proposed by Mörchen (2005) called Time Series Knowledge Representation (TSKR). We conducted a case study using time series of energy demand of 8 substations interconnected by a ring system, which feeds the metropolitan area of Goiânia-GO, provided by CELG (Companhia Energética de Goiás), responsible for the service of power distribution in the state of Goiás (Brazil). Using the proposed methodology were extracted three levels of knowledge that describe the behavior of the system studied, representing clearly the system dynamics, becoming a tool to assist planning activities