El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado. / This research paper proposes a low-cost telepresence technological model focused on primary education. Its aim is to give students a new resource/communication channel for classes, which would be used when they cannot attend school due to health problems that do not affect their learning process. This solution seeks students to not be passive listeners during a session, but that they interact with their classmates and teachers during class. To validate the model, a telepresence platform based on WebRTC was developed. It was tested in three schools in different geographical areas belonging to socioeconomic sector C, collecting data from the students who tested the tool, as well as from classmates, teachers, and parents. / Revisión por pares

En el Perú, la calidad de los servicios de salud es un requisito constante para la población como también una prioridad. “El 49% de los peruanos considera que los servicios de salud son muy malos, mientras que el 47% piensa que son regulares y únicamente el 4% asegura que sí son buenos”. (Datum Internacional S.A, 2017) Por ello, se considera que los grandes problemas del sector salud están en la prestación de servicios y no realmente en el financiamiento del sector; esto produce que los procesos de atención médica sean poco sostenibles. Adicional a ello, La Encuesta Nacional de Satisfacción de Usuarios en Salud del 2015 reveló que existen problemas muy críticos que resolver, como por ejemplo manifiesta que “El tiempo de espera para ser atendido en un consultorio, ha aumentado con respecto a 2014 cuando se registró un tiempo promedio de 81 minutos de espera, ahora el tiempo es de 104 minutos”. (Gestión, 2016) En base a la información mencionada anteriormente, se propone mejorar el servicio de atención ambulatoria mediante un modelo tecnológico de servicio de información farmacológica ambulatoria utilizando una plataforma cloud; esta propuesta permitirá brindar información, administrar los datos de enfermedades comunes y migrarlos a la nube para integrarlos mediante una interfaz desarrollada en una plataforma cloud. Con esta solución se estima reducir la asistencia a los servicios de salud y minimizar los tiempos de espera a una respuesta de una enfermedad común, ya que la información será expuesta en una aplicación móvil. / In Peru, the quality of health services is a constant requirement and a priority for the population. "49% of Peruvians believe that health services are very bad, while 47% think they are good." (Datum International S.A., 2017) Therefore, we confirm that the main problems in the health sector are in the quality of services and not how much can they spend in the sector; this makes health care processes unsustainable. In addition, the National Health Users Satisfaction Survey of 2015 revealed that there are very critical problems that need to be resolved, for example, by stating that "the waiting time to be treated in a clinic has increased compared to 2014 when an average of time of 81 minutes waiting, now the time is 104 minutes. "(Gestión, 2016) Based on the information mentioned above, the best ambulatory care service is offered through an ambulatory mobile pharmacological information service application using the platform cloud; this proposal is useful because we can manage common disease data and migrates to the cloud to integrate into a platform developed in platform cloud. With this solution, it is possible to reduce attendance to health services and minimize waiting times for the response of a common disease, since the information was exposed in a mobile application. / Tesis

This work presents two innovative ways to evaluate mining projects. The first is the application of a Technological Model in a copper-gold mine and the second is a decision making model to evaluate the benefit of semi-mobile in pit crusher and conveyor alternatives during the early stages of mining projects. In order to improve the process and to maximize the production and/or value of a mining project, there needs to be an integration of the geology, the mine plan, the processing and the geometallurgy data. In order to accomplish this, a new methodology is proposed for the creation of a technological model. This model can be interpreted as the consolidation of the different models required for a better understanding of the geological and technical information of the deposit. This concept was developed and applied at a copper and gold mine site located in Brazil. Based on the evaluation of different blasting and mill productivity scenarios through a pit-to-plant approach, it was possible to obtain operational short-term gains such as a 10.7% increase in the plant production rate and a 2.2% increase in the crusher\'s feed rate with little or no capital investment. Another important issue faced by mining companies is related to material handling. A significant cost in the operating budget of most mining operations arises from purchasing and maintaining haulage trucks. Recently, in-pit crushing and conveying (IPCC) has been subject to research because of its potential to reduce haulage costs. A decision-making model was created to identify early on in a project whether or not the semi-mobile IPCC (SMIPCC) is an appropriate alternative to the conventional truck haulage based on the loading and hauling approaches. The method is based on cost analysis and the evaluation of environmental impacts, being successfully tested at an existing open-pit mine, where the results indicated that the IPCC was the most cost-effective option for the operation. Although the IPCC\'s initial CAPEX was 60% higher than the conventional approach, the IPCC\'s OPEX was 43% lower, resulting in a 28% reduction of the life-of-mine net present cost (NPC). / Este trabalho apresenta duas maneiras inovadoras de avaliar projetos de mineração. A primeira é a elaboração e aplicação do modelo tecnológico para uma mina de cobre e ouro já a segunda refere-se à confecção de um modelo de tomada de decisão a ser usado para a análise dos benefícios de aplicação de britagem semimóvel em cava. Para melhorar os processos e maximizar a produção e/ou o valor de um projeto de mineração, existe a necessidade de integração dos dados de geologia, planejamento de mina, beneficiamento e geometalurgia. Com esse foco, uma nova metodologia foi proposta para a criação do modelo tecnológico. Este modelo pode ser interpretado como a consolidação dos diferentes modelos necessários para uma melhor compreensão das informações geológicas e técnicas do depósito. Este conceito foi desenvolvido e aplicado em uma mina de cobre de ouro localizada no Brasil. Com base na avaliação de diferentes cenários de perfuração e desmonte de rochas e de produtividade do moinho, usando uma abordagem de mina-usina, foi possível obter ganhos operacionais de curto prazo, tais como um aumento de 10,7% na taxa de produção de usina e um aumento de 2,2% na taxa de alimentação da britagem com pouco ou nenhum investimento de capital. Uma outra questão relevante para empresas de mineração é o transporte de material. Um custo significativo na maioria das minas surge da compra e manutenção de caminhões de transporte. A britagem em cava e correias (IPCC em inglês) vem sido avaliada em diversos casos devido ao seu potencial para reduzir os custos de transporte. Neste estudo, um modelo de tomada de decisão foi criado para identificar em etapas iniciais de um projeto os benefícios de aplicação de IPCC semimóvel (SMIPCC em inglês) em comparação com método convencional, exclusivamente por caminhões. O método baseia-se na análise de custos e na avaliação de impactos ambientais testado em uma mina a céu aberto, onde os resultados indicaram que o SMIPCC foi a opção mais econômica para a operação. Embora o investimento inicial do IPCC foi 60% maior do que a abordagem convencional, o custo operacional do IPCC foi 43% menor, resultando em uma redução de 28% do custo total a valor presente.

An innovation is the process of making improvements by introducing new idea in the form of product or service. In recent years, successful societies are shifting their focus towards the realization and acceptance of these new ideas. Plug and Play business software platform is the first step to transform these ideas into reality. The study presented in this thesis introduced that a new business idea contains specific business role and consists of a set of capabilities or needs and any one of them. Plug and play business software platform mainly consists of three major business processes that are required to run this platform those are; business match making process, negotiating process and collaboration process. This study analyzes the process of business match making in detail and introduce an ontology based business match making process which will find new businesses in a hierarchical fashion based on their specific business roles. Match making ontology consists of three processes i.e. information collection process which is used to collect and register information, extraction process which is an optional process to extract set of capabilities and needs if actor/innovator is unable to define its business capabilities and needs in information collection process and finally finding and ranking process which will find a set of potential collaborators and then will rank that set based on ranking parameters collected in information collection process from actor/innovator. This study also presents a technological model which will provide foundation to develop plug and play business software platform. This model identifies business processes of the platform and presents each business process as a separate loosely coupled software module. This model divides the platform into two layers; the upper layer is called PnP layer and consists of PnP Client Service, PnP Community Service, Finding and Ranking Service, Negotiating Service and Collaboration Service; lower layer is called kernel layer and consists of Security management Service, Operational management Services and Communication Service. Finally partially implemented prototype, test data and results will be used to visualize the presented concept.

En el Perú, se estima que, de 1200 nuevos casos de cáncer infantil detectados anualmente, 350 terminan en muerte. Estas estimaciones aumentan constantemente debido a la falta de soluciones económicas y confiables para detectar el cáncer. Por ejemplo, el 60% de estas neoplasias se están detectando en estadios avanzados. Por lo tanto, el proceso de diagnóstico del cáncer en el Perú toma casi tres veces más que en los países desarrollados [1], reduciendo así las posibilidades de cura en el momento adecuado. Ante esta situación, el proyecto propone un modelo tecnológico para optimizar el proceso de detección de leucemia mediante la microscopía digital. Este modelo utiliza el algoritmo de Canny, y un banco de imágenes de Glóbulos Blancos y Rojos, para la identificación de células microscópicas, que finalmente serán analizadas por un especialista en salud para brindar el diagnóstico final. El modelo propuesto incluye la captura, digitalización y análisis de muestras microscópicas, y está compuesto por las siguientes 5 fases: 1. Recolección de datos; 2. Captura de datos; 3. Procesamiento de imágenes; 4. Clasificación celular; 5. Visualización de resultados. El modelo fue validado con cinco muestras de sangre de tres hombres y dos mujeres en diferentes categorías de edad. Estas muestras fueron validadas por el Jefe de Patología Clínica de un hospital público del Callao. Los resultados mostraron que se obtuvo una tasa de efectividad del 90,5% en la identificación de glóbulos blancos, reduciendo de esta manera el tiempo de diagnóstico actual de 3 meses, a un estimado 32 días. / In Peru, it is estimated that out of 1200 new cases of childhood cancer detected annually, 350 end in death. These estimates are constantly increasing due to the lack of economical and reliable solutions to detect cancer. For instance, 60% of the neoplasms used to detect cancer are analyzed in advanced stages. Therefore, the process of cancer diagnosis in Peru takes almost three times more than in developed countries [1], reducing the chances of a cure. In this situation, we propose a technological model for optimizing the detection process of leukemia using digital microscopy. This model applies the Canny algorithm on a bank of images of normal and abnormal microscopic cells, for the identification of microscopic cells, which will finally be analyzed by a health specialist to provide the final diagnosis. The proposed model includes the capture, digitization, and analysis of microscopic samples. Fives phases are included in this model: 1. Data collection; 2. Data capture; 3. Image processing; 4. Cell classification; 5. Display of results. The model was validated with five blood samples from three men and two women in different age categories. All these samples were validated by the Head of Clinical Pathology at a public hospital in Callao. The results showed that a 90.5% effectiveness rate of white blood cell identification was obtained, thus reducing the current diagnosis time from 3 months, to an estimated 32 days. / Tesis

Es evidente la brecha de aprendizaje que se produce cuando un alumno no asiste a clases por algún motivo ajeno a su voluntad y que no limita su capacidad de aprendizaje. A pesar de la era digital en la que vivimos, podemos ser testigos de que aún falta mucha brecha que cubrir haciendo uso de la tecnología y en pro de impulsar una mejor calidad en la educación. Es por ello por lo que, hemos definido como objetivo principal de nuestro proyecto el diseñar un modelo tecnológico aplicado a la educación primaria que sirva como canal de apoyo en el aprendizaje de los alumnos que no puedan asistir a clases. Para llevar a cabo el presente proyecto se ha realizado una investigación previa de la necesidad planteada, como también de las herramientas de telepresencia que están actualmente en el mercado y sus características. Para efectos de validación del modelo se llevó a cabo el desarrollo básico de una plataforma de telepresencia, la cual se puso a prueba en tres colegios de zonas diferentes pertenecientes al sector socioeconómico C y D. Recogiendo posteriormente las opiniones tanto del alumno que hizo uso de la herramienta, como también de sus compañeros, profesores y padres de Familia. / The following project starts from the need to reduce learning gaps among students who miss classes due to different factors that do not limit their learning capacity and those who attend a constant. We believe that technology is the tool that can help reduce these gaps and be a support to the school community. That is why the goal of our project is a technology system for the development of primary education that supports the channel in the learning of students who cannot attend classes. In order to carry out the present project, a prior investigation of the need for the plant has been carried out, as well as the telepresence tools that are currently on the market and their characteristics. Likewise, the best solution that complies with the guidelines of our model has been defined and, at the same time, at a low cost. Its aim is to give students a new resource/communication channel for classes, which would be used when they cannot attend school due to health problems that do not affect their learning process. This solution seeks students to not be passive listeners during a session, but that they interact with their classmates and teachers during class. To validate the model, a telepresence platform based on WebRTC was developed. It was tested in three schools in different geographical areas, collecting data from the students who tested the tool, as well as from classmates, teachers, and parents. / Tesis