An Analysis of the Telecommunications Business in China by Linear Regression

In this paper, we study the influence of the National Telecom Business Volume by the data in 2008 that have been published in China Statistical Yearbook of Statistics. We illustrate the procedure of modeling “National Telecom Business Volume” on the following eight variables, GDP, Consumption Levels, Retail Sales of Social Consumer Goods Total Renovation Investment, the Local Telephone Exchange Capacity, Mobile Telephone Exchange Capacity, Mobile Phone End Users, and the Local Telephone End Users. The testing of heteroscedasticity and multicollinearity for model evaluation is included. We also consider AIC and BIC criterion to select independent variables, and conclude the result of the factors which are the optimal regression model for the amount of telecommunications business and the relation between independent variables and dependent variable. Based on the final results, we propose several recommendations about how to improve telecommunication services and promote the economic development.

Identificação e avaliação dos atributos da qualidade dos serviços de telecomunicações prestados pela Brasil Telecom - filial Rio Grande do Sul, que afetam a satisfação de seus clientes corporativos : estudo de caso

Como o mercado está se transformando cada vez mais em mercado de commodities, onde que o cliente percebe muito pouco as diferenças técnicas entre os produtos concorrentes, aumenta a necessidade de criação de vantagem diferencial através de valor adicionado. A principal fonte deste valor é, cada vez mais, o serviço prestado ao cliente. Fornecer um serviço de qualidade superior a de seus concorrentes é uma forma de diferenciar a empresa, que pode dar uma vantagem competitiva e levar a um nível superior de vendas e de desempenho de lucros. Assim sendo, o prestador de serviços precisa identificar as expectativas dos clientes ao que concerne à qualidade. Baseando-se na importância de conhecer as expectativas dos clientes, desenvolve-se o presente estudo de caso com o objetivo de identificar os atributos ou dimensões da qualidade dos serviços de telecomunicações prestados pela Brasil Telecom – Filial Rio Grande do Sul, que afetam a satisfação dos clientes corporativos. Também são avaliados o grau de importância destes atributos e o desempenho dos mesmos em relação à concorrência a partir da percepção dos clientes. Para a identificação dos atributos da qualidade é empregada a pesquisa exploratória e na avaliação dos atributos pesquisa quantitativa. Utilizou-se a Matriz Importância versus Desempenho de Slack (1993) como ferramenta para análise dos dados coletados e verificar a posição da empresa em relação aos concorrentes.

Fatores relevantes na escolha de operadoras de telefonia de longa distância no Brasil: a ótica do usuário

This dissertation proposes to analyze how a consumer evaluates the available alternatives on a choosing process of Telecommunication Services in Brazil, specifically, among long distance services. The data were collected from a survey with 140 interviewee and they were analyzed through the Conjoint Analysis. The results from the referred survey give evidences that the relative importance of the attributes price, billing facilities and customer service have got considerably higher values than brand and financial benefits attributes. The fact that the brand is not the main point regarding the chosen process among long distance services can be justified by the almost non existence of barriers to change suppliers, due to the Telecommunication Services¿ pattern established in Brazil. This dissertation¿s limitations are presented, as well as suggestions for future research in the light of Marketing Theory

Convergência entre telefonia fixa e móvel no Brasil: modelagem mercadologócia e sustentabilidade estratégica

A convergência entre serviços tipicamente prestados por empresas de telecomunicações fixas e serviços tipicamente prestados por operadoras móveis é um fenômeno que acontece mundialmente há mais de dez anos. A convergência entre a indústria de telefonia fixa e móvel, como fenômeno evolutivo, pode ter três principais forças-motrizes: a simples evolução tecnológica, baseada, por exemplo, na digitalização das telecomunicações; a junção entre um viés de mercado, propiciado pelo alto nível concorrencial, e a busca por inovações tecnológicas; ou uma simples convergência entre ativos das diferentes indústrias, buscando uma aplicação mais eficiente do capital. Mundialmente, já são conhecidos inúmeros serviços convergentes de telecomunicações, embora a convergência em telecomunicações no Brasil ainda possa ser considerada incipiente. Considerando o relevante volume de faturamento agregado do mercado brasileiro de telecomunicações fixas e móveis e o elevado nível concorrencial, o estudo e aplicação de soluções convergentes podem representar a geração de diferencial competitivo. Nesse sentido, o presente trabalho propõe-se a avaliar as principais empresas de telecomunicações do Brasil e seus respectivos recursos ou serviços convergentes, segundo o framework VRIO, desenvolvido por Jay Barney, fundamentada na visão estratégica baseada em recursos (RBV- Resource Based View).

Avaliação de economias de escala e escopo no desempenho de equipes de serviços aplicando Análise de Envoltória de Dados DEA: um estudo em Empresa de Telecomunicações no Brasil

This Master s Thesis proposes the application of Data Envelopment Analysis DEA to evaluate economies of scale and economies of scope in the performance of service teams involved with installation of data communication circuits, based on the study of a major telecommunication company in Brazil. Data was collected from the company s Operational Performance Division. Initial analysis of a data set, including nineteen installation teams, was performed considering input oriented methods. Subsequently, the need for restrictions on weights is analyzed using the Assurance Region method, checking for the existence of zero-valued weights. The resulting returns to scale are then verified. Further analyses using the Assurance Region Constant (AR-I-C) and Variable (AR-I-V) models verify the existence of variable, rather than constant, returns to scale. Therefore, all of the final comparisons use scores obtained through the AR-I-V model. In sequence, we verify if the system has economies of scope by analyzing the behavior of the scores in terms of individual or multiple outputs. Finally, conventional results, used by the company in study to evaluate team performance, are compared to those generated using the DEA methodology. The results presented here show that DEA is a useful methodology for assessing team performance and that it may contribute to improvements on the quality of the goal setting procedure.

Análise de retorno de escala e tamanho do mercado no desempenho de equipes de vendas aplicando análise de envoltória de dados DEA: um estudo em empresa de Telecomunicações no Brasil

This Master s Thesis proposes the application of Data Envelopment Analysis DEA to evaluate the performance of sales teams, based on a study of their coverage areas. Data was collected from the company contracted to distribute the products in the state of Ceará. Analyses of thirteen sales coverage areas were performed considering first the output-oriented constant return to scale method (CCR-O), then this method with assurance region (AR-O-C) and finally the method of variable returns to scale with assurance region (AR-O-V). The method used in the first approach is shown to be inappropriate for this study, since it inconveniently generates zero-valued weights, allowing that an area under evaluation obtain the maximal score by not producing. Using weight restrictions, through the assurance region methods AR-O-C and AR-O-V, decreasing returns to scale are identified, meaning that the improvement in performance is not proportional to the size of the areas being analyzed. Observing data generated by the analysis, a study is carried out, aiming to design improvement goals for the inefficient areas. Complementing this study, GDP data for each area was compared with scores obtained using AR-O-V analysis. The results presented in this work show that DEA is a useful methodology for assessing sales team performance and that it may contribute to improvements on the quality of the management process.

Modelagem paramétrica linear aplicada à faixa de sinal de televisão digital para cidades densamente arborizadas

Este trabalho apresenta uma modelagem paramétrica (auto-regressiva) linear aplicável a estudos de propagação de televisão digital e telefonia celular para cidades densamente arborizadas. A modelagem proposta apresenta um forte embasamento estatístico e depende apenas de dados provenientes de medição, no caso dados relativos a potência recebida e o valor de PSNR (Peak Signal-to-Noise Ratio). Um algoritmo genético é utilizado no cálculo dos parâmetros de ajuste do modelo a um conjunto de dados. O trabalho foi realizado na faixa de televisão digital e foram analisadas duas variáveis: a potência recebida do sinal e o valor de PSNR. Foram executadas campanhas de medição na cidade de Belém. Nestas medições foram coletados dados de potência e gravados vídeos da programação diária de uma emissora de televisão. Os resultados podem ser aplicados no planejamento de serviços de telecomunicações.

Nas ondas da informação: interfaces entre o pensamento geográfico e a geografia econômica para o estudo das telecomunicações no Brasil

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

Integración Wi-Fi en un proyecto ICT

La instalación de Infraestructuras Comunes de Telecomunicación (IICCTT) en el interior de las edificaciones para el acceso a los servicios de telecomunicación facilitó la incorporación a las viviendas de las nuevas tecnologías de forma económica y transparente para los usuarios. Actualmente, todos los edificios de nueva construcción deben presentar un proyecto ICT firmado por un Ingeniero Técnico de Telecomunicación de la especialidad correspondiente o un Ingeniero de Telecomunicación. La legislación que las regula afecta a todo tipo de viviendas con independencia del poder adquisitivo del comprador, y contribuye de manera decisiva a que disminuyan a corto y medio plazo las desigualdades sociales en lo relativo al acceso a servicios de telecomunicación tales como telefonía, Internet, telecomunicación por cable, radiodifusión sonora y televisión analógica, digital, terrenal o por satélite, etc.. Desde 1997, el Colegio Oficial de Ingenieros de Telecomunicación junto con otras organizaciones públicas y privadas ha participado en la elaboración de la normativa aplicable a las Infraestructuras Comunes de Telecomunicación, dando lugar al actual decreto, el Real Decreto 346/2011, de 11 de Marzo. El propósito general de este proyecto es diseñar una red Wi-Fi a partir de las canalizaciones e instalaciones del proyecto ICT de un conjunto de viviendas unifamiliares, para que todas ellas dispongan de conexión a internet de forma inalámbrica. Para llevar a cabo este diseño, se ha realizado un estudio de las características del estándar IEEE 802.11, conocido como Wi-Fi, analizando las posibilidades de comunicación inalámbrica que ofrece, así como las limitaciones que presenta en la actualidad. Se ha analizado el proyecto ICT del conjunto de viviendas, estudiando la viabilidad de utilizar sus instalaciones para implementar la red Wi-Fi, añadiendo tanto las canalizaciones como los dispositivos comerciales necesarios para llevar a cabo dicha implementación. Además, se ha estudiado la posibilidad de integrar la red Wi-Fi utilizando el cableado de televisión de la propia ICT. Por último, se ha estudiado la gran importancia que al Hogar Digital se da en el Real Decreto 346/2011, de 11 de marzo, por el que se aprueba el Reglamento regulador de las Infraestructuras Comunes de Telecomunicaciones para el acceso a los servicios de telecomunicación en el interior de las edificaciones, presentando los aspectos fundamentales que se persiguen con la domotización de la vivienda como mejora de vida de sus habitantes. Abstract The installation of Telecommunications Common Infrastructures (TCIs, in Spanish Infraestructuras Comunes de Telecomunicación –IICCTT-) in the buildings, in order to gain access to telecommunications services, facilitated the incorporation into the houses of new technologies in an economical and transparent way for users. Nowadays, every new construction building must have a TCI project signed by a Telecommunications Engineer or a Technical Telecommunications Engineer with the appropriate specialization. The legislation that regulates TCIs affects every kind of houses, independently of the buyer´s purchasing power, and contributes decisively to decrease in short and medium terms the social inequalities concerning the access to the telecommunication services, such as telephony, Internet, wired telecommunications, audible broadcasting and digital, analogical, land, satellite television, etc.. Since 1997, the Telecommunications Engineer Official College, together with other public and private organizations, has been elaborating the regulations for the TCIs, giving rise to the current decree, the Royal Decree 346/2011, of 11th of March. The general purpose of this project is to design a Wi-Fi network based on the canalizations and installations of the TCI project of a housing development, in such a way that every house is provided with a wireless connection to the Internet. In order to carry out this design, the characteristics of the standard IEEE 802.11, known as Wi-Fi, have been studied, analyzing the wireless-communication possibilities that it offers, as well as the constraints that it presents currently. The TCI project has been analyzed, studying the feasibility of using its installations to implement the Wi-Fi network, adding the canalizations and commercial devices required to execute the aforementioned implementation. Besides, the possibility of integrating the Wi-Fi network using the television wires of the TCI project has been investigated. Finally, it has been studied the great importance that has been given to Digital Home in the Royal Decree 346/2011, of 11th of March, that approves the regulatory Regulations of Telecommunications Common Infrastructures for the access to telecommunications services inside the buildings, presenting the essential aspects that are pursued with the house domotization as a way to improve the quality of life of its inhabitants.

Análisis y modelización de la dinámica emergente durante el proceso de difusión de información en las redes sociales de internet

Durante la actividad diaria, la sociedad actual interactúa constantemente por medio de dispositivos electrónicos y servicios de telecomunicaciones, tales como el teléfono, correo electrónico, transacciones bancarias o redes sociales de Internet. Sin saberlo, masivamente dejamos rastros de nuestra actividad en las bases de datos de empresas proveedoras de servicios. Estas nuevas fuentes de datos tienen las dimensiones necesarias para que se puedan observar patrones de comportamiento humano a grandes escalas. Como resultado, ha surgido una reciente explosión sin precedentes de estudios de sistemas sociales, dirigidos por el análisis de datos y procesos computacionales. En esta tesis desarrollamos métodos computacionales y matemáticos para analizar sistemas sociales por medio del estudio combinado de datos derivados de la actividad humana y la teoría de redes complejas. Nuestro objetivo es caracterizar y entender los sistemas emergentes de interacciones sociales en los nuevos espacios tecnológicos, tales como la red social Twitter y la telefonía móvil. Analizamos los sistemas por medio de la construcción de redes complejas y series temporales, estudiando su estructura, funcionamiento y evolución en el tiempo. También, investigamos la naturaleza de los patrones observados por medio de los mecanismos que rigen las interacciones entre individuos, así como medimos el impacto de eventos críticos en el comportamiento del sistema. Para ello, hemos propuesto modelos que explican las estructuras globales y la dinámica emergente con que fluye la información en el sistema. Para los estudios de la red social Twitter, hemos basado nuestros análisis en conversaciones puntuales, tales como protestas políticas, grandes acontecimientos o procesos electorales. A partir de los mensajes de las conversaciones, identificamos a los usuarios que participan y construimos redes de interacciones entre los mismos. Específicamente, construimos una red para representar quién recibe los mensajes de quién y otra red para representar quién propaga los mensajes de quién. En general, hemos encontrado que estas estructuras tienen propiedades complejas, tales como crecimiento explosivo y distribuciones de grado libres de escala. En base a la topología de estas redes, hemos indentificado tres tipos de usuarios que determinan el flujo de información según su actividad e influencia. Para medir la influencia de los usuarios en las conversaciones, hemos introducido una nueva medida llamada eficiencia de usuario. La eficiencia se define como el número de retransmisiones obtenidas por mensaje enviado, y mide los efectos que tienen los esfuerzos individuales sobre la reacción colectiva. Hemos observado que la distribución de esta propiedad es ubicua en varias conversaciones de Twitter, sin importar sus dimensiones ni contextos. Con lo cual, sugerimos que existe universalidad en la relación entre esfuerzos individuales y reacciones colectivas en Twitter. Para explicar los factores que determinan la emergencia de la distribución de eficiencia, hemos desarrollado un modelo computacional que simula la propagación de mensajes en la red social de Twitter, basado en el mecanismo de cascadas independientes. Este modelo nos permite medir el efecto que tienen sobre la distribución de eficiencia, tanto la topología de la red social subyacente, como la forma en que los usuarios envían mensajes. Los resultados indican que la emergencia de un grupo selecto de usuarios altamente eficientes depende de la heterogeneidad de la red subyacente y no del comportamiento individual. Por otro lado, hemos desarrollado técnicas para inferir el grado de polarización política en redes sociales. Proponemos una metodología para estimar opiniones en redes sociales y medir el grado de polarización en las opiniones obtenidas. Hemos diseñado un modelo donde estudiamos el efecto que tiene la opinión de un pequeño grupo de usuarios influyentes, llamado élite, sobre las opiniones de la mayoría de usuarios. El modelo da como resultado una distribución de opiniones sobre la cual medimos el grado de polarización. Aplicamos nuestra metodología para medir la polarización en redes de difusión de mensajes, durante una conversación en Twitter de una sociedad políticamente polarizada. Los resultados obtenidos presentan una alta correspondencia con los datos offline. Con este estudio, hemos demostrado que la metodología propuesta es capaz de determinar diferentes grados de polarización dependiendo de la estructura de la red. Finalmente, hemos estudiado el comportamiento humano a partir de datos de telefonía móvil. Por una parte, hemos caracterizado el impacto que tienen desastres naturales, como innundaciones, sobre el comportamiento colectivo. Encontramos que los patrones de comunicación se alteran de forma abrupta en las áreas afectadas por la catástofre. Con lo cual, demostramos que se podría medir el impacto en la región casi en tiempo real y sin necesidad de desplegar esfuerzos en el terreno. Por otra parte, hemos estudiado los patrones de actividad y movilidad humana para caracterizar las interacciones entre regiones de un país en desarrollo. Encontramos que las redes de llamadas y trayectorias humanas tienen estructuras de comunidades asociadas a regiones y centros urbanos. En resumen, hemos mostrado que es posible entender procesos sociales complejos por medio del análisis de datos de actividad humana y la teoría de redes complejas. A lo largo de la tesis, hemos comprobado que fenómenos sociales como la influencia, polarización política o reacción a eventos críticos quedan reflejados en los patrones estructurales y dinámicos que presentan la redes construidas a partir de datos de conversaciones en redes sociales de Internet o telefonía móvil. ABSTRACT During daily routines, we are constantly interacting with electronic devices and telecommunication services. Unconsciously, we are massively leaving traces of our activity in the service providers’ databases. These new data sources have the dimensions required to enable the observation of human behavioral patterns at large scales. As a result, there has been an unprecedented explosion of data-driven social research. In this thesis, we develop computational and mathematical methods to analyze social systems by means of the combined study of human activity data and the theory of complex networks. Our goal is to characterize and understand the emergent systems from human interactions on the new technological spaces, such as the online social network Twitter and mobile phones. We analyze systems by means of the construction of complex networks and temporal series, studying their structure, functioning and temporal evolution. We also investigate on the nature of the observed patterns, by means of the mechanisms that rule the interactions among individuals, as well as on the impact of critical events on the system’s behavior. For this purpose, we have proposed models that explain the global structures and the emergent dynamics of information flow in the system. In the studies of the online social network Twitter, we have based our analysis on specific conversations, such as political protests, important announcements and electoral processes. From the messages related to the conversations, we identify the participant users and build networks of interactions with them. We specifically build one network to represent whoreceives- whose-messages and another to represent who-propagates-whose-messages. In general, we have found that these structures have complex properties, such as explosive growth and scale-free degree distributions. Based on the topological properties of these networks, we have identified three types of user behavior that determine the information flow dynamics due to their influence. In order to measure the users’ influence on the conversations, we have introduced a new measure called user efficiency. It is defined as the number of retransmissions obtained by message posted, and it measures the effects of the individual activity on the collective reacixtions. We have observed that the probability distribution of this property is ubiquitous across several Twitter conversation, regardlessly of their dimension or social context. Therefore, we suggest that there is a universal behavior in the relationship between individual efforts and collective reactions on Twitter. In order to explain the different factors that determine the user efficiency distribution, we have developed a computational model to simulate the diffusion of messages on Twitter, based on the mechanism of independent cascades. This model, allows us to measure the impact on the emergent efficiency distribution of the underlying network topology, as well as the way that users post messages. The results indicate that the emergence of an exclusive group of highly efficient users depends upon the heterogeneity of the underlying network instead of the individual behavior. Moreover, we have also developed techniques to infer the degree of polarization in social networks. We propose a methodology to estimate opinions in social networks and to measure the degree of polarization in the obtained opinions. We have designed a model to study the effects of the opinions of a small group of influential users, called elite, on the opinions of the majority of users. The model results in an opinions distribution to which we measure the degree of polarization. We apply our methodology to measure the polarization on graphs from the messages diffusion process, during a conversation on Twitter from a polarized society. The results are in very good agreement with offline and contextual data. With this study, we have shown that our methodology is capable of detecting several degrees of polarization depending on the structure of the networks. Finally, we have also inferred the human behavior from mobile phones’ data. On the one hand, we have characterized the impact of natural disasters, like flooding, on the collective behavior. We found that the communication patterns are abruptly altered in the areas affected by the catastrophe. Therefore, we demonstrate that we could measure the impact of the disaster on the region, almost in real-time and without needing to deploy further efforts. On the other hand, we have studied human activity and mobility patterns in order to characterize regional interactions on a developing country. We found that the calls and trajectories networks present community structure associated to regional and urban areas. In summary, we have shown that it is possible to understand complex social processes by means of analyzing human activity data and the theory of complex networks. Along the thesis, we have demonstrated that social phenomena, like influence, polarization and reaction to critical events, are reflected in the structural and dynamical patterns of the networks constructed from data regarding conversations on online social networks and mobile phones.

A study of stock market fluctuations and their relation to business conditions

Most research on stock prices is based on the present value model or the more general consumption-based model. When applied to real economic data, both of them are found unable to account for both the stock price level and its volatility. Three essays here attempt to both build a more realistic model, and to check whether there is still room for bubbles in explaining fluctuations in stock prices. In the second chapter, several innovations are simultaneously incorporated into the traditional present value model in order to produce more accurate model-based fundamental prices. These innovations comprise replacing with broad dividends the more narrow traditional dividends that are more commonly used, a nonlinear artificial neural network (ANN) forecasting procedure for these broad dividends instead of the more common linear forecasting models for narrow traditional dividends, and a stochastic discount rate in place of the constant discount rate. Empirical results show that the model described above predicts fundamental prices better, compared with alternative models using linear forecasting process, narrow dividends, or a constant discount factor. Nonetheless, actual prices are still largely detached from fundamental prices. The bubblelike deviations are found to coincide with business cycles. The third chapter examines possible cointegration of stock prices with fundamentals and non-fundamentals. The output gap is introduced to form the nonfundamental part of stock prices. I use a trivariate Vector Autoregression (TVAR) model and a single equation model to run cointegration tests between these three variables. Neither of the cointegration tests shows strong evidence of explosive behavior in the DJIA and S&P 500 data. Then, I applied a sup augmented Dickey-Fuller test to check for the existence of periodically collapsing bubbles in stock prices. Such bubbles are found in S&P data during the late 1990s. Employing econometric tests from the third chapter, I continue in the fourth chapter to examine whether bubbles exist in stock prices of conventional economic sectors on the New York Stock Exchange. The ‘old economy’ as a whole is not found to have bubbles. But, periodically collapsing bubbles are found in Material and Telecommunication Services sectors, and the Real Estate industry group.

A Study of Stock Market Fluctuations and their Relations to Business Conditions

Most research on stock prices is based on the present value model or the more general consumption-based model. When applied to real economic data, both of them are found unable to account for both the stock price level and its volatility. Three essays here attempt to both build a more realistic model, and to check whether there is still room for bubbles in explaining fluctuations in stock prices. In the second chapter, several innovations are simultaneously incorporated into the traditional present value model in order to produce more accurate model-based fundamental prices. These innovations comprise replacing with broad dividends the more narrow traditional dividends that are more commonly used, a nonlinear artificial neural network (ANN) forecasting procedure for these broad dividends instead of the more common linear forecasting models for narrow traditional dividends, and a stochastic discount rate in place of the constant discount rate. Empirical results show that the model described above predicts fundamental prices better, compared with alternative models using linear forecasting process, narrow dividends, or a constant discount factor. Nonetheless, actual prices are still largely detached from fundamental prices. The bubble-like deviations are found to coincide with business cycles. The third chapter examines possible cointegration of stock prices with fundamentals and non-fundamentals. The output gap is introduced to form the non-fundamental part of stock prices. I use a trivariate Vector Autoregression (TVAR) model and a single equation model to run cointegration tests between these three variables. Neither of the cointegration tests shows strong evidence of explosive behavior in the DJIA and S&P 500 data. Then, I applied a sup augmented Dickey-Fuller test to check for the existence of periodically collapsing bubbles in stock prices. Such bubbles are found in S&P data during the late 1990s. Employing econometric tests from the third chapter, I continue in the fourth chapter to examine whether bubbles exist in stock prices of conventional economic sectors on the New York Stock Exchange. The ‘old economy’ as a whole is not found to have bubbles. But, periodically collapsing bubbles are found in Material and Telecommunication Services sectors, and the Real Estate industry group.

Propuesta de cambio para los proyectos de la vicepresidencia de empresas de telefónica desde la teoría de restricciones (TOC)

Telefónica es una empresa que desde 2003 presta en Colombia servicios de telecomunicaciones a personas naturales y jurídicas. Para las personas jurídicas sus servicios se prestan por medio de proyectos, los cuales ejecuta la Vicepresidencia de Empresas. En búsqueda de proponer cambios en la manera como esta Vicepresidencia gestiona los proyectos, este proyecto de aplicación práctica utiliza la Teoría de Restricciones (TOC), expuesta por el Dr. Eliyahu Goldratt, en relación a la gestión de proyectos. Al aplicar la TOC se utilizó herramientas tales como nubes de solución de conflictos, ramas negativas, arboles de realidad actual y de realidad futura. Los resultados de este proceso arrojaron las restricciones que enfrenta la Vicepresidencia, propuestas de cambio y una amplia gama de recomendaciones para la gestión y ejecución de proyectos, todo lo anterior basado en la TOC.

Dimensioning of Telecommunication Network Based on Quality of Services Demand and Detailed Behaviour of Users

The aim of this paper is to be determined the network capacity (number of necessary internal switching lines) based on detailed users’ behaviour and demanded quality of service parameters in an overall telecommunication system. We consider detailed conceptual and its corresponded analytical traffic model of telecommunication system with (virtual) circuit switching, in stationary state with generalized input flow, repeated calls, limited number of homogeneous terminals and losses due to abandoned and interrupted dialing, blocked and interrupted switching, not available intent terminal, blocked and abandoned ringing (absent called user) and abandoned conversation. We propose an analytical - numerical solution for finding the number of internal switching lines and values of the some basic traffic parameters as a function of telecommunication system state. These parameters are requisite for maintenance demand level of network quality of service (QoS). Dependencies, based on the numericalanalytical results are shown graphically. For proposed conceptual and its corresponding analytical model a network dimensioning task (NDT) is formulated, solvability of the NDT and the necessary conditions for analytical solution are researched as well. It is proposed a rule (algorithm) and computer program for calculation of the corresponded number of the internal switching lines, as well as corresponded values of traffic parameters, making the management of QoS easily.

Research Monograph: Managing ubiquitous eco cities: telecommunication infrastructure networks, technology convergence and intelligent urban management systems

Efficient and effective urban management systems for Ubiquitous Eco Cities require having intelligent and integrated management mechanisms. This integration includes bringing together economic, socio-cultural and urban development with a well orchestrated, transparent and open decision making mechanism and necessary infrastructure and technologies. In Ubiquitous Eco Cities telecommunication technologies play an important role in monitoring and managing activities over wired, wireless or fibre-optic networks. Particularly technology convergence creates new ways in which the information and telecommunication technologies are used and formed the back bone or urban management systems. The 21st Century is an era where information has converged, in which people are able to access a variety of services, including internet and location based services, through multi-functional devices such as mobile phones and provides opportunities in the management of Ubiquitous Eco Cities. This research paper discusses the recent developments in telecommunication networks and trends in convergence technologies and their implications on the management of Ubiquitous Eco Cities and how this technological shift is likely to be beneficial in improving the quality of life and place of residents, workers and visitors. The research paper reports and introduces recent approaches on urban management systems, such as intelligent urban management systems, that are suitable for Ubiquitous Eco Cities.