9 resultados para pacs: data handling techniques
em Universidade Federal do Rio Grande do Norte(UFRN)
Resumo:
This work demonstrates important aspects of domestic work performed by adolescents between 16 and 18 years in residential spaces. This is to highlight the process of naturalization of invisibility, their source of insecurity and social exclusion, in view of the strong personal relationship of domination. Pointing out the relations of pseudo-affection that can obscure the exploitation of domestic labor. Highlight a preliminary discussion on the composition of social relations embedded in the context of domestic work, with emphasis on reflection on the condition of subordination of young domestic workers as a result of a process of socialization consists of relations of domination - gender and social class, resulting in formation of social identity-forming negative stigma. This paper results from a survey of the work of young maids, held in the city of Aracaju, whose main objective was to understand how they operated the differences and inequalities in the relations of domestic based, including information on adolescents' own. Fieldwork was conducted from August 2009 to January 2010 and data collection techniques were used oral history / life history, questionnaires and use of semi-structured interviews, as well as secondary data from PNAD / IBGE which formed the basis of comparative national situation and local context. It emphasizes the links of domestic work involving teenagers question the lifestyles of working class who are confronted by the various "systems" for each home, which leads to the development of adaptation strategies that make possible the coexistence of a stranger the house at the other. It focuses on how the work goes into their lives in terms of socialization offered by working families to their children's, and as this class habitus is adequate for the job market in domestic employment through a socialization process that sometimes opposes and now reinforces the practices and values seized in family socialization
Resumo:
Nowadays, telecommunications is one of the most dynamic and strategic areas in the world. Organizations are always seeking to find new management practices within an ever increasing competitive environment where resources are getting scarce. In this scenario, data obtained from business and corporate processes have even greater importance, although this data is not yet adequately explored. Knowledge Discovery in Databases (KDD) appears then, as an option to allow the study of complex problems in different areas of management. This work proposes both a systematization of KDD activities using concepts from different methodologies, such as CRISP-DM, SEMMA and FAYYAD approaches and a study concerning the viability of multivariate regression analysis models to explain corporative telecommunications sales using performance indicators. Thus, statistical methods were outlined to analyze the effects of such indicators on the behavior of business productivity. According to business and standard statistical analysis, equations were defined and fit to their respective determination coefficients. Tests of hypotheses were also conducted on parameters with the purpose of validating the regression models. The results show that there is a relationship between these development indicators and the amount of sales
Resumo:
Currently, one of the biggest challenges for the field of data mining is to perform cluster analysis on complex data. Several techniques have been proposed but, in general, they can only achieve good results within specific areas providing no consensus of what would be the best way to group this kind of data. In general, these techniques fail due to non-realistic assumptions about the true probability distribution of the data. Based on this, this thesis proposes a new measure based on Cross Information Potential that uses representative points of the dataset and statistics extracted directly from data to measure the interaction between groups. The proposed approach allows us to use all advantages of this information-theoretic descriptor and solves the limitations imposed on it by its own nature. From this, two cost functions and three algorithms have been proposed to perform cluster analysis. As the use of Information Theory captures the relationship between different patterns, regardless of assumptions about the nature of this relationship, the proposed approach was able to achieve a better performance than the main algorithms in literature. These results apply to the context of synthetic data designed to test the algorithms in specific situations and to real data extracted from problems of different fields
Resumo:
The protected areas are created for conservation to nature. The way they associate with the communities and visitors are essential to its objectives are achieved. This study aims to analyze how tourism is developed in the. The Recifes dos Corais Protected Area (APARC) through the identification of the image that tourists and residents have with respect to Parracho of Maracajaú and knowledge of the factors that contribute to a satisfactory visit of tourists. For this was an exploratorydescriptive study with quali-quantitative approach, with 236 tourists and 70 residents of the district of Maracajaú, using questionnaires and interviews. Data analysis techniques were used and percentage of arithmetic, factor analysis and content analysis. The results showed that the importance and significance attributed by residents to Parracho related to economic gains. Information on the APARC and on their standards are not done efficiently and contribute to negatively impact the site. The profile of tourists is not the most appropriate for a protected area. The dimensions of satisfaction to the tourists demonstrated the need for actions to be undertaken by the administration of APARC. Conclude that the image that the residents and tourists have of APARC is not conducive to the image of a protected areas. The tourists are satisfied with the tour in APARC, however, the dimensions of satisfaction are not consistent with the conservation of the site
Resumo:
The meaning of work is a construct that has been studied more systematically from the 80s, through various approaches and in different occupational categories. This dissertation aims to describe and discuss the meanings of work for construction workers. This is an empirical study whose research supports herself in the Model Attributes Meaning of Work and its respective instrument for measuring the Meaning of Work Inventory (STI). The research involved 402 workers in the construction industry sector in the two capitals of the Brazilian Northeast, with a mean age of 35.8 years (SD = 11.4). To collect the data, besides the IST, the Working Conditions Questionnaire and sociodemographic data were also used. Data were organized and analyzed using the SPSS program. The study used data analysis techniques to Smallest Space Analisys (SSA), descriptive statistics, correlation and analysis of variance. There was evidence of validity of the STI which was structured into five types of value attributes (what work should be), and seven types of descriptive attributes (what is working). The results showed that the work has high centrality and profiling for participants after the family, the most important aspect in the lives of workers. Aspects of personal and economic growth were more emphasized in definition of what the work should be and responsibility and effort were characteristics that best described the reality of work.
Resumo:
Foundations support constitute one of the types of legal entities of private law forged with the purpose of supporting research projects, education and extension and institutional, scientific and technological development of Brazil. Observed as links of the relationship between company, university, and government, foundations supporting emerge in the Brazilian scene from the principle to establish an economic platform of development based on three pillars: science, technology and innovation – ST&I. In applied terms, these ones operate as tools of debureaucratisation making the management between public entities more agile, especially in the academic management in accordance with the approach of Triple Helix. From the exposed, the present study has as purpose understanding how the relation of Triple Helix intervenes in the fund-raising process of Brazilian foundations support. To understand the relations submitted, it was used the interaction models University-Company-Government recommended by Sábato and Botana (1968), the approach of the Triple Helix proposed by Etzkowitz and Leydesdorff (2000), as well as the perspective of the national innovation systems discussed by Freeman (1987, 1995), Nelson (1990, 1993) and Lundvall (1992). The research object of this study consists of 26 state foundations that support research associated with the National Council of the State Foundations of Supporting Research - CONFAP, as well as the 102 foundations in support of IES associated with the National Council of Foundations of Support for Institutions of Higher Education and Scientific and Technological Research – CONFIES, totaling 128 entities. As a research strategy, this study is considered as an applied research with a quantitative approach. Primary research data were collected using the e-mail Survey procedure. Seventy-five observations were collected, which corresponds to 58.59% of the research universe. It is considering the use of the bootstrap method in order to validate the use of the sample in the analysis of results. For data analysis, it was used descriptive statistics and multivariate data analysis techniques: the cluster analysis; the canonical correlation and the binary logistic regression. From the obtained canonical roots, the results indicated that the dependency relationship between the variables of relations (with the actors of the Triple Helix) and the financial resources invested in innovation projects is low, assuming the null hypothesis of this study, that the relations of the Triple Helix do not have interfered positively or negatively in raising funds for investments in innovation projects. On the other hand, the results obtained with the cluster analysis indicate that entities which have greater quantitative and financial amounts of projects are mostly large foundations (over 100 employees), which support up to five IES, publish management reports and use in their capital structure, greater financing of the public department. Finally, it is pertinent to note that the power of the classification of the logistic model obtained in this study showed high predictive capacity (80.0%) providing to the academic community replication in environments of similar analysis.
Resumo:
The integration between architectural design and structur al systems consi sts, in academic education, one of the main challenges to the architectural design education . Recent studies point to the relevance of the use of computational tools in academic settings as an important strategy for such integration. Although in recent yea rs teaching experience using BIM (BuildingInformationModeling) may be incorporated by the a rchitecture schools , notes the need for further didactic and pedagogical practices that promote the architectural design and structur al integration teaching. This pa per analyzes experiences developed within the UFRN and UFPB, seeking to identify tools, processes and products used, pointing limitations and potentials in subjects taught in these institutions. The research begins with a literature review on teaching BIM and related aspects to the integration of architectural design and stru c tur e . It has been used as data collection techniques in studio the direct observation, the use of questionnaires and interviews with students and teachers, and mixed method, qualitativ e and quantitative analysis . In UFRN, the scope of the Integrated Workshop as a compulsory subject in the curriculum, favors the integration of disciplines studied here as it allows teachers from different disciplines at the same project studio . Regarding the use of BIM form initial users, BIM modelers, able to extract quantitative and automatically speed up production, gaining in quality in the products, however learn the tool and design in parallel cause some difficulties. UFPB, lack of required courses o n BIM, generates lack of knowledge and confidence in using the tool and processes, by most students. Thus we see the need for greater efforts by school to adopt BIM skills and training. There is a greater need for both BIM concept, in order to promote BIM process and consequent better use of tools, and obsolete avoiding impairment of technology, merely a tool. It is considered the inclusion of specific subjects with more advanced BIM skills, through partnerships with engineering degrees and the promotion of trans disciplinary integration favoring the exchange of different cultures from the academic environment.
Resumo:
Soft skills and teamwork practices were identi ed as the main de ciencies of recent graduates in computer courses. This issue led to a realization of a qualitative research aimed at investigating the challenges faced by professors of those courses in conducting, monitoring and assessing collaborative software development projects. Di erent challenges were reported by teachers, including di culties in the assessment of students both in the collective and individual levels. In this context, a quantitative research was conducted with the aim to map soft skill of students to a set of indicators that can be extracted from software repositories using data mining techniques. These indicators are aimed at measuring soft skills, such as teamwork, leadership, problem solving and the pace of communication. Then, a peer assessment approach was applied in a collaborative software development course of the software engineering major at the Federal University of Rio Grande do Norte (UFRN). This research presents a correlation study between the students' soft skills scores and indicators based on mining software repositories. This study contributes: (i) in the presentation of professors' perception of the di culties and opportunities for improving management and monitoring practices in collaborative software development projects; (ii) in investigating relationships between soft skills and activities performed by students using software repositories; (iii) in encouraging the development of soft skills and the use of software repositories among software engineering students; (iv) in contributing to the state of the art of three important areas of software engineering, namely software engineering education, educational data mining and human aspects of software engineering.
Resumo:
Soft skills and teamwork practices were identi ed as the main de ciencies of recent graduates in computer courses. This issue led to a realization of a qualitative research aimed at investigating the challenges faced by professors of those courses in conducting, monitoring and assessing collaborative software development projects. Di erent challenges were reported by teachers, including di culties in the assessment of students both in the collective and individual levels. In this context, a quantitative research was conducted with the aim to map soft skill of students to a set of indicators that can be extracted from software repositories using data mining techniques. These indicators are aimed at measuring soft skills, such as teamwork, leadership, problem solving and the pace of communication. Then, a peer assessment approach was applied in a collaborative software development course of the software engineering major at the Federal University of Rio Grande do Norte (UFRN). This research presents a correlation study between the students' soft skills scores and indicators based on mining software repositories. This study contributes: (i) in the presentation of professors' perception of the di culties and opportunities for improving management and monitoring practices in collaborative software development projects; (ii) in investigating relationships between soft skills and activities performed by students using software repositories; (iii) in encouraging the development of soft skills and the use of software repositories among software engineering students; (iv) in contributing to the state of the art of three important areas of software engineering, namely software engineering education, educational data mining and human aspects of software engineering.