This work deals with accessible communications technologies and their possible usage in firms. It is necessary to have a survey about types and trends of communications technologies at proposal of communications network. It is important to choose the combination that is suitable with its reliability, achievement and price.

A Internet das Coisas é um novo paradigma de comunicação que estende o mundo virtual (Internet) para o mundo real com a interface e interação entre objetos. Ela possuirá um grande número de dispositivos heteregôneos interconectados, que deverá gerar um grande volume de dados. Um dos importantes desafios para seu desenvolvimento é se guardar e processar esse grande volume de dados em aceitáveis intervalos de tempo. Esta pesquisa endereça esse desafio, com a introdução de serviços de análise e reconhecimento de padrões nas camadas inferiores do modelo de para Internet das Coisas, que procura reduzir o processamento nas camadas superiores. Na pesquisa foram analisados os modelos de referência para Internet das Coisas e plataformas para desenvolvimento de aplicações nesse contexto. A nova arquitetura de implementada estende o LinkSmart Middeware pela introdução de um módulo para reconhecimento de padrões, implementa algoritmos para estimação de valores, detecção de outliers e descoberta de grupos nos dados brutos, oriundos de origens de dados. O novo módulo foi integrado à plataforma para Big Data Hadoop e usa as implementações algorítmicas do framework Mahout. Este trabalho destaca a importância da comunicação cross layer integrada à essa nova arquitetura. Nos experimentos desenvolvidos na pesquisa foram utilizadas bases de dados reais, provenientes do projeto Smart Santander, de modo a validar da nova arquitetura de IoT integrada aos serviços de análise e reconhecimento de padrões e a comunicação cross-layer. / The Internet of Things is a new communication paradigm in which the Internet is extended from the virtual world to interface and interact with objects of the physical world. The IoT has high number of heterogeneous interconnected devices, that generate huge volume data. The most important IoT challenges is store and proccess this large volume data. This research addresses this issue by introducing pattern recognition services into the lower layers of the Internet of Things reference model stack and reduces the processing at the higher layers. The research analyzes the Internet of Things reference model and Middleware platforms to develop applications in this context. The new architecture implementation extends the LinkSmart by introducing a pattern recognition manager that includes algorithms to estimate parameters, detect outliers, and to perform clustering of raw data from IoT resources. The new module is integrated with the Big Data Haddop platform and uses Mahout algorithms implementation. This work highlights the cross-layer communication intregated in the new IoT architecture. The experiments made in this research using the real database from Smart Santander Framework to validate the new IoT architecture with pattern recognition services and cross-layer communication.

A Internet das Coisas é um novo paradigma de comunicação que estende o mundo virtual (Internet) para o mundo real com a interface e interação entre objetos. Ela possuirá um grande número de dispositivos heteregôneos interconectados, que deverá gerar um grande volume de dados. Um dos importantes desafios para seu desenvolvimento é se guardar e processar esse grande volume de dados em aceitáveis intervalos de tempo. Esta pesquisa endereça esse desafio, com a introdução de serviços de análise e reconhecimento de padrões nas camadas inferiores do modelo de para Internet das Coisas, que procura reduzir o processamento nas camadas superiores. Na pesquisa foram analisados os modelos de referência para Internet das Coisas e plataformas para desenvolvimento de aplicações nesse contexto. A nova arquitetura de implementada estende o LinkSmart Middeware pela introdução de um módulo para reconhecimento de padrões, implementa algoritmos para estimação de valores, detecção de outliers e descoberta de grupos nos dados brutos, oriundos de origens de dados. O novo módulo foi integrado à plataforma para Big Data Hadoop e usa as implementações algorítmicas do framework Mahout. Este trabalho destaca a importância da comunicação cross layer integrada à essa nova arquitetura. Nos experimentos desenvolvidos na pesquisa foram utilizadas bases de dados reais, provenientes do projeto Smart Santander, de modo a validar da nova arquitetura de IoT integrada aos serviços de análise e reconhecimento de padrões e a comunicação cross-layer. / The Internet of Things is a new communication paradigm in which the Internet is extended from the virtual world to interface and interact with objects of the physical world. The IoT has high number of heterogeneous interconnected devices, that generate huge volume data. The most important IoT challenges is store and proccess this large volume data. This research addresses this issue by introducing pattern recognition services into the lower layers of the Internet of Things reference model stack and reduces the processing at the higher layers. The research analyzes the Internet of Things reference model and Middleware platforms to develop applications in this context. The new architecture implementation extends the LinkSmart by introducing a pattern recognition manager that includes algorithms to estimate parameters, detect outliers, and to perform clustering of raw data from IoT resources. The new module is integrated with the Big Data Haddop platform and uses Mahout algorithms implementation. This work highlights the cross-layer communication intregated in the new IoT architecture. The experiments made in this research using the real database from Smart Santander Framework to validate the new IoT architecture with pattern recognition services and cross-layer communication.

This study deals with the relationship between communications networks and economic structure in medium-sized Swedish towns 1850-1970. Medium-sized towns have been defined as those which were ranked 4th-20th in terms of population at two points in time: in the year 1900, when industry had established a foothold and the most important railways had been built, and in the year 1970, at the end of the period studied. This means that the group studied comprises 22 towns. The communications networks which are examined are shipping, railways and roads. The economic structure is studied at various levels from economic sectors to sub-branches.Two measures have been constructed for the purpose of establishing the positions of the towns in the communications networks: accessibility and nodality. The former is calculated on the basis of distance from other towns and their populations. The latter is computed via quantification of the towns' access to the links of the respective networks and an assessment of the quality of these.Statistical relation analyses of correlation and regression type have been the principal method of analysis, which has been supplemented, however, by information culled from urban monographs and other studies.The study shows that there is a relationship between communications networks, primarily the railways, and the transformation of the towns' economic structures during the first half of the period studied. The predominant alignment of this relationship appears to be that the structural transformation precedes the expansion of the railways. Among the various economic sectors, the relationship between industry and the railways is the clearest. The relationship changes direction with the passage of time and can be divided into four phases:1.1850s - 1870s. The towns with strongest population and industrial growth attract railways to themselves and are themselves most active in expanding the railways. A weak correlation between accessibility of towns in the shipping network and industry dwindles away when the railways begin to expand.2.1870s - 1900. The relationship between industry and railways is two-way.3. 1900-1950.The building of the most important railways is completed. Industry continues to adapt to accessibility within the railway network.4.After 1950. The medium-sized towns begin to be deindustrialised as the service sector undergoes vigorous growth. The correlation between industry and railways weakens.On the other hand a supplementary study of conditions at regional level shows that railway expansion preceded structural change. In the rural parts of Sweden the railways were an important driving force behind urbanisation and industrialisation, and they created a special type of new population centre -"station villages", as they were called - which came to function as industrial focal points in the countryside. Many of these station villages rose to the status of towns later on.At lower levels of the economic structure the relationships between economic activities and communications networks are not statistically guaranteed as a rule. This is interpreted to mean that at first it was only large aggregates such as population density and total industry that were capable of influencing railway expansion. In similar fashion the railways later became a factor exercising influence primarily at the macro level, while at the micro level they formed only a base on which a number of other location factors were collected and evaluated before the individual firms reached their decisions. / digitalisering@umu