Implementación de un servicio web basado en una red neuronal convolucional

[ES] El Deep Learning está mostrando un gran potencial en infinidad de aplicaciones revolucionando múltiples campos. Sin embargo, a pesar de su potencial, es de difícil manejo debido a que requiere de conocimientos técnicos para su uso. Por ello, resulta interesante su despliegue en servidores web. En este trabajo se pretende desarrollar un servidor web mediante el entorno multiplataforma Node.js, que implemente una red neuronal ya existente. El servidor desarrollado permitirá al cliente utilizar la red para separar las pistas de audio de manera configurable y sencilla. Se evaluarán los resultados en base a la eficiencia y limitaciones del entorno viendo que ventajas e inconvenientes ofrece y cómo ha resultado su despliegue. Se explorará también la idea de expandirlo a otro tipo de redes neuronales.[EN] Deep Learning is showing a huge potential in a big number of applications, revolutionizing multiple fields. However, in spite of its potential, it is hard handling it due to the technical knowledge it requires to be used. Thus, its deployment in a web server results interesting. This assignment is pretended to develop a web server using the multiplatform environment Node.js to implement an already existing neural network. The developed server will allow the clients to use the neural network in order to separate the audio tracks in an easy and configurable way. The results will be evaluated according to the efficiency and limitations of the environment, analyzing the advantages and disadvantages it offers and how the deployment has been achieved. The idea of expanding it to other types of neural networks will also be exploredChirlaque Hernández, L. (2021). Implementación de un servicio web basado en una red neuronal convolucional. Universitat Politècnica de València. http://hdl.handle.net/10251/17009

Using the cloud in lab classes

Computation laboratories are an essential part of educational institutions. The management of these laboratories presents some challenges to these institutions and to their IT department. The laboratories need to be prepared in advance, before the start of the cycle of study and usually entail high costs to the institutions. [...]Esta dissertação apresenta o desenvolvimento de uma aplicação que permite criar e gerir laborat órios de computação virtuais usando plataformas de Nuvem (Cloud). O uso de laboratórios virtuais é usual em áreas como a engenharia e ciências da computação. No entanto, a maioria das soluções existentes são proprietárias e exigem algum esforço de aprendizagem. [...

Participant Domain Name Token Profile for security enhancements supporting service oriented architecture

This research proposes a new secure token profile for improving the existing Web Services security standards. It provides a new authentication mechanism. This additional level of security is important for the Service-Oriented Architecture (SOA), which is an architectural style that uses a set of principles and design rules to shape interacting applications and maintain interoperability. Currently, the market push is towards SOA, which provides several advantages, for instance: integration with heterogeneous systems, services reuse, standardization of data exchange, etc. Web Services is one of the technologies to implement SOA and it can be implemented using Simple Object Access Protocol (SOAP). A SOAP-based Web Service relies on XML for its message format and common application layer protocols for message negotiation and transmission. However, it is a security challenge when a message is transmitted over the network, especially on the Internet. The Organization for Advancement of Structured Information Standards (OASIS) announced a set of Web Services Security standards that focus on two major areas. “Who” can use the Web Service and “What” are the permissions. However, the location or domain of the message sender is not authenticated. Therefore, a new secure token profile called: Participant Domain Name Token Profile (PDNT) is created to tackle this issue. The PDNT provides a new security feature, which the existing token profiles do not address. Location-based authentication is achieved if adopting the PDNT when using Web Services. In the performance evaluation, PDNT is demonstrated to be significantly faster than other secure token profiles. The processing overhead of using the PDNT with other secure token profiles is very small given the additional security provided. Therefore all the participants can acquire the benefits of increased security and performance at low cost