Ricardo Mendoza González

A measurement model for secure and usable e-commerce websites

This paper presents a new method to assess usability, security, and e-commerce requirements of websites. Previous research works propose a list of primary requirements for human-computer interaction, security, and e-commerce in an independent way, but they do not integrate these three aspects into a single evaluation method. We present an overview of these basic requirements, which are subsequently incorporated into a set of metrics. The proposed measurement model is based on the Goal Question Metric technique and complemented with a set of mathematical formulae. We show the effectiveness of the metrics by using an illustrative example as a proof-of-concept together with a preliminary usability study.

A methodology for designing information security feedback based on User Interface Patterns

A methodology is provided here to assist in the design of secure interactive applications. In particular, this methodology helps design an adequate security information feedback based on User Interface Patterns, the resulting feedback is then evaluated against a set of design/evaluation criteria called Human-Computer Interaction for Security (HCI-S). In case of a security issue the security information feedback is generally presented using the visual and auditory channels required to achieve an effective notifications, and it is explicitly specified in the design of user interfaces for secure web system.

A Method to Design Information Security Feedback Using Patterns and HCI-Security Criteria

To design a user interface of a secure interactive application, a method is provided to designers with guidance in designing an adequate security information feedback using a library of user-interface design patterns integrating security and usability. The resulting feedback is then evaluated against a set of design/evaluation criteria called human–computer interaction for security (HCI-S). In this way, notifications combining visual and auditive channels required to achieve an effective feedback in case of a security issue are explicitly incorporated in the development life cycle.

Web Service-Security Specification based on Usability Criteria and Pattern Approach

A specification is provided in this paper to assist in the design of usable and secure web-services. In particular, this specification helps design an adequate security information feedback based on User Interface Patterns, the resulting visual feedback is then evaluated against a set of design/evaluation criteria called Human-Computer Interaction for Security (HCI-S). In addition we propose in a theoretical manner including the knowledge offered by the proposed specification based on patterns in a new level for the architectural structure of WS-Security specification, which is currently one of the most popular specifications to establish secure web services.

A Classification of Design Patterns to Support Mobile Groupware Systems

Groupware represents a great tool for people group-work since they have multiple possibilities oriented to improve interaction, collaboration, and communication between group members. Virtues of groupware are currently reinforced through several alternatives such as mobile devices; however, it introduces a series of new challenges in user interface design for emerging mobile groupware applications. In order to contribute to reduce this gap, we propose a design pattern classification to help model those specific interactions to foster essential groupware functions of communication, coordination and collaboration through a well-designed interface.

A requirements taxonomy and rating model for secure and usable B2C/C2C e-commerce websites

e-commerce can be seen from different points of view. Its fields are always facing new challenges, variable conditions, evolving requirements, and thus new improvements are constantly demanded. Therefore, the importance for a usable and secure e-commerce website structure is more than necessary nowadays. In this paper we propose a requirements taxonomy consisting of the factors of security, usability, as well as characteristics for B2C and C2C e-commerce websites. The purpose of the taxonomy is to support the development of usable and secure B2C or C2C e-commerce websites. We also propose an evaluation approach for the stages of user interface design, architectural design, and testing with respect to taxonomy-based requirements.

SISTEMA MECATRÓNICO DE UN VEHÍCULO DE GUIADO AUTOMÁTICO (AGV) SIN GUÍA MAGNÉTICA

Los vehiculos de guiado automatico o AGV, del ingles Automatic Guided Vehicle, son equipos ampliamente utilizados en la industria para transportar partes desde un almacen a un punto de ensamble dentro de una planta. Para seguir una trayectoria especifica, el AGV cuenta con sensores que rastrean una cinta magnetica superficialmente enterrada en el piso; esta aproximacion funciona correctamente siempre y cuando la cinta se preserve en buen estado.

Vehículo automáticamente guiado (AGV) por odometría y visión artificial

El uso de robots en la industria manufacturera moderna es intensivo; en particular,la robotica movil encuentra un extenso campo de aplicacion en una de sus realizaciones industriales mas relevantes: los Vehiculos de Guiado Automatico, mejor conocidos por sus siglas como AGV, del ingles Automatic Guided Vehicle; de manera comun, tales vehiculos transportan desde el almacen al punto de ensamble partes que seran integradas a algun producto, realizando esto mediante sensores que rastrean sendas cintas o bandas magneticas enterradas superficialmente o sobrepuestas y sujetas firmemente al piso.

Automatic algorithm to classify and locate research papers using natural language

The objective of this paper was to provide an automatic engine to classify and locate information using natural language. The proposal integrates a set of two algorithms to extract information from different repositories using their own open APIs and creates a knowledge database using a natural language approach using a Bayesian algorithm to classify and a second algorithm to clean the paper. Putting said techniques together derived in a strong alternative which reach common gaps in classification and location of information including avoid the use of the whole paper to get information and not only the information introduced at the moment of upload the paper in the digital library. The proposal was oriented to classify and locate research papers in order to better describe this contribution, however, findings could be applicable to a vast range of scenarios. An adaptation of the popular methodology Crisp-DM was used to evaluate the performance of the algorithm obtaining good results in classifying, searching, and feeding the knowledge base.

UNA HERRAMIENTA AUTOMÁTICA PARA LA CLASIFICACIÓN Y BÚSQUEDA DE ARTÍCULOS DE INVESTIGACIÓN EN LA WEB

The objective of this paper was to provide an intelligent strategy to enhance web searching of scientific publications. The proposed approach helped to optimize web searching by applying a predictive Naive Bayes algorithm and automatic feeding of knowledge bases. The current sites took only information previously captured by the author of the paper in this information we could highlight title, abstract, key words, authors and a short description. In this work we provide an automatic feeding of knowledge bases to improve web searching of scientific publications and according to this we were able to provide an automatic feed of our knowledge database