Latin American Journal of Computing
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191 research outputs found
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A fresh recipe for designers: HCI approach to explore the nexus between design techniques and formal methods in software development
Emerging companies involved in design and implementation of innovative products demand multidisciplinary teams to be competitive in the market. This need mainly exposes designers to extend their knowledge not only in User Interface elements of the design process but also in software methodologies to cover the lack of resources and expertise in start-ups. It raises the question of how designers can line up HCI techniques with best practices in software development while preserving usability and easy-to-use principles. To explore this gap, this paper proposes an approach which combines existing technology and methods by studying the nexus between HCI prototyping and software engineering. The approach is applied into a case study in the design of a virtual shop harmonizing the use of storyboards and the spiral. A comprehensive analysis is performed by using a Technology acceptance model (TAM) regarding with two variables: usability and easy-to-use. The present finding underlines the positive integration of HCI techniques and formal methods without compromising user satisfaction with a potential benefit for small companies in a formation stage
People Recognition for Loja ECU911 applying artificial vision techniques
This article presents a technological proposal based on artificial vision which aims to search people in an intelligent way by using IP video cameras. Currently, manual searching process is time and resource demanding in contrast to automated searching one, which means that it could be replaced. In order to obtain optimal results, three different techniques of artificial vision were analyzed (Eigenfaces, Fisherfaces, Local Binary Patterns Histograms). The selection process considered factors like lighting changes, image quality and changes in the angle of focus of the camera. Besides, a literature review was conducted to evaluate several points of view regarding artificial vision techniques
Estudio exploratorio de la técnicaTimming Attack en el criptosistema RSA
This paper makes an exploratory bibliographic analysis of the Timing Attack (TA) technique on the Side Channel Attacks (SCA) in RSA. The information assets, operation modes and countermeasures of 22 papers were analyzed. Findings show that smartcards are the most attacked information assets (32%), blinding is the most applied countermeasure (33%) and the Chinese Remainder Theorem (CRT) or Montgomery Multiplication (MM) with CRT are the most frequent operation modes (41%). Furthermore, just one attack was executed in telecom unication systems, this opens the possibilty for future work, analyzing the same technique using the tecnologies WiMAX and the SIP VoIP protocol.
El presente trabajo realiza un análisis bibliográfico exploratorio del tipo de ataque Timing Attack (TA) de On The Side Channel Attack (SCA) en RSA. Para lo cual, se analizaron los activos de información, los modos de operación y las contramedidas efectuadas de 22 artículos. Los resultados evidencian que el activo de información que más ataques tuvo son las tarjetas inteligentes (32%), la contramedida mayormente aplicada es el cegamiento (33%) y los modos de operación más utilizados son el Chinese Remainder Theorem (CRT) o Montgomery Multiplication (MM) con CRT (41%). Adicionalmente se evidencia que sólo un ataque fue realizado a los sistemas de telecomunicaciones, lo cual permite plantear trabajos futuros en el análisis de la misma técnica con base en las tecnologías WiMAX y el protocolo SIP de VoIP.
 
A Social Framework for Set Recommendation in Group Recommender Systems
This research article presents a study about the background in Group Recommender Systems and how social factors are directly related to these applications. Some important group recommender systems in academia are described to exemplify their contribution in different domains. Besides, a framework that is intended to improve group recommender systems is proposed. The main idea of the framework is to enhance social cognition to help the group members agree and make a decision. Its structure includes a process where an influential group is detected among the target groups of people to recommend to. Social influence detection uses the knowledge behind online social connections and interactions. Trying to understand human behavior and ties among groups in a social network and how to use this to improve group recommender systems is considered the main challenge for future research. Combining this with the kind of item recommendation which involves a temporal sequence of ordered elements will present a novel and original path in Group Recommender Systems design.
 
MiR-EO: Middleware Reflexivo para la Emergencia Ontológica en Ambientes Inteligentes
In a Smart Environment (AmI), the devices that participate must exchange knowledge permanently, for which they must understand and manage a common language. The ontologies in an AmI are an ideal tool for this, making possible the communication between the intelligent objects that are part of the environment. These ontologies must be distributed, heterogeneous and dynamic, since they must adapt to the changes, needs and services of the AmI. This article proposes the implementation of a middleware that allows the ontological emergence, to manage all the knowledge that can be generated in an AmI.
This middleware, called MiR-EO, is implemented as a reflective middleware, which manages its own ontological framework, made up of meta-ontologies that model the elements that must contain the ontologies of an AmI, andenables the ontological emergence process.
En un Ambiente Inteligente (AmI), los dispositivos que participan deben intercambiar conocimiento permanentemente, para lo cual deben entenderse y manejar un lenguaje común, para el logro de la interoperabilidad semántica. Las ontologías en un AmI constituyen una herramienta ideal para ello, posibilitando la comunicación entre los objetos inteligentes que forman parte del ambiente. Estas ontologías deben ser distribuidas, heterogéneas y dinámicas ya que deben adaptarse a los cambios, necesidades y servicios del AmI. Este artículo propone la implementación de un middleware que permite la emergencia ontológica, con el fin de gestionar todo el conocimiento que se puede generar en un AmI. El middleware, llamado MiR-EO, se implementa como un middleware reflexivo, que maneja su propio marco ontológico, conformado por meta-ontologías que modelan los elementos que deben contener las ontologías de un AmI, y posibilitan el proceso de emergencia ontológica.