Hybrid Approach Combining Machine Learning and a Rule-Based Expert System for Text Categorization

This paper discusses a novel hybrid approach for text categorization that combines a machine learning algorithm, which provides a base model trained with a labeled corpus, with a rule-based expert system, which is used to improve the results provided by the previous classifier, by filtering false positives and dealing with false negatives. The main advantage is that the system can be easily fine-tuned by adding specific rules for those noisy or conflicting categories that have not been successfully trained. We also describe an implementation based on k-Nearest Neighbor and a simple rule language to express lists of positive, negative and relevant (multiword) terms appearing in the input text. The system is evaluated in several scenarios, including the popular Reuters-21578 news corpus for comparison to other approaches, and categorization using IPTC metadata, EUROVOC thesaurus and others. Results show that this approach achieves a precision that is comparable to top ranked methods, with the added value that it does not require a demanding human expert workload to train

QL-CONST1: an expert system for quality level prediction in concrete structures

Current trends in the fields of artifical intelligence and expert systems are moving towards the exciting possibility of reproducing and simulating human expertise and expert behaviour into a knowledge base, coupled with an appropriate, partially ‘intelligent’, computer code. This paper deals with the quality level prediction in concrete structures using the helpful assistance of an expert system, QL-CONST1, which is able to reason about this specific field of structural engineering. Evidence, hypotheses and factors related to this human knowledge field have been codified into a knowledge base. This knowledge base has been prepared in terms of probabilities of the presence of either hypotheses or evidence and the conditional presence of both. Human experts in the fields of structural engineering and the safety of structures gave their invaluable knowledge and assistance to the construction of the knowledge base. Some illustrative examples for, the validation of the expert system behaviour are included.

Computational Fluid Dynamics Expert System using Artificial Neural Networks

The design of a modern aircraft is based on three pillars: theoretical results, experimental test and computational simulations. As a results of this, Computational Fluid Dynamic (CFD) solvers are widely used in the aeronautical field. These solvers require the correct selection of many parameters in order to obtain successful results. Besides, the computational time spent in the simulation depends on the proper choice of these parameters. In this paper we create an expert system capable of making an accurate prediction of the number of iterations and time required for the convergence of a computational fluid dynamic (CFD) solver. Artificial neural network (ANN) has been used to design the expert system. It is shown that the developed expert system is capable of making an accurate prediction the number of iterations and time required for the convergence of a CFD solver.

A Multingual Web-based Educational System for Professional Musicians

This paper presents the main results of the eContent HARMOS project. The project has developed a webbased educational system for professional musicians. The main idea of the project consists of recording master classes taught by highly recognised maestros and annotate this multimedia material using an educational musical taxonomy and automatic annotation tools. Users of the system access a multi-criteria search engine that allows them to find and play video segments according to a combination of criteria, which include instrument, teacher, composer, composition, movement and pedagogical concept. In order to preserve teachers and students rights, a DRM and protection system has been developed. The system is being publicly exploited. This model preserves musical heritage, since these valuable master classes are usually not recorded and it also provides a sustainable model for musical institutions.

A Web-based Support System for Providing Effective Monitoring, Feedback and Evaluation in Project Management Education

This work introduces a web-based learning environment to facilitate learning in Project Management. The proposed web-based support system integrates methodological procedures and information systems, allowing to promote learning among geographically-dispersed students. Thus, students who are enrolled in different universities at different locations and attend their own project management courses, share a virtual experience in executing and managing projects. Specific support systems were used or developed to automatically collect information about student activities, making it possible to monitor the progress made on learning and assess learning performance as established in the defined rubric.

Automatic expert system based on images for accuracy crop row detection in maize fields

This paper proposes an automatic expert system for accuracy crop row detection in maize fields based on images acquired from a vision system. Different applications in maize, particularly those based on site specific treatments, require the identification of the crop rows. The vision system is designed with a defined geometry and installed onboard a mobile agricultural vehicle, i.e. submitted to vibrations, gyros or uncontrolled movements. Crop rows can be estimated by applying geometrical parameters under image perspective projection. Because of the above undesired effects, most often, the estimation results inaccurate as compared to the real crop rows. The proposed expert system exploits the human knowledge which is mapped into two modules based on image processing techniques. The first one is intended for separating green plants (crops and weeds) from the rest (soil, stones and others). The second one is based on the system geometry where the expected crop lines are mapped onto the image and then a correction is applied through the well-tested and robust Theil–Sen estimator in order to adjust them to the real ones. Its performance is favorably compared against the classical Pearson product–moment correlation coefficient.

Low-Cost Radar-Based Target Identification Prototype using an Expert System

Smart and green cities are hot topics in current research because people are becoming more conscious about their impact on the environment and the sustainability of their cities as the population increases. Many researchers are searching for mechanisms that can reduce power consumption and pollution in the city environment. This paper addresses the issue of public lighting and how it can be improved in order to achieve a more energy efficient city. This work is focused on making the process of turning the streetlights on and off more intelligent so that they consume less power and cause less light pollution. The proposed solution is comprised of a radar device and an expert system implemented on a low-cost platform based on a DSP. By analyzing the radar echo in both the frequency and time domains, the system is able to detect and identify objects moving in front of it. This information is used to decide whether or not the streetlight should be turned on. Experimental results show that the proposed system can provide hit rates over 80%, promising a good performance. In addition, the proposed solution could be useful in kind of other applications such as intelligent security and surveillance systems and home automation.

A Multi-Agent System for the Solution of Fuzzy Incidents in Telecommunications

This article presents a multi-agent expert system (SMAF) , that allows the input of incidents which occur in different elements of the telecommunications area. SMAF interacts with experts and general users, and each agent with all the agents? community, recording the incidents and their solutions in a knowledge base, without the analysis of their causes. The incidents are expressed using keywords taken from natural language (originally Spanish) and their main concepts are recorded with their severities as the users express them. Then, there is a search of the best solution for each incident, being helped by a human operator using a distancenotions between them.

Cooperation between expert knowledge and data mining discovered knowledge: Lessons learned

Expert systems are built from knowledge traditionally elicited from the human expert. It is precisely knowledge elicitation from the expert that is the bottleneck in expert system construction. On the other hand, a data mining system, which automatically extracts knowledge, needs expert guidance on the successive decisions to be made in each of the system phases. In this context, expert knowledge and data mining discovered knowledge can cooperate, maximizing their individual capabilities: data mining discovered knowledge can be used as a complementary source of knowledge for the expert system, whereas expert knowledge can be used to guide the data mining process. This article summarizes different examples of systems where there is cooperation between expert knowledge and data mining discovered knowledge and reports our experience of such cooperation gathered from a medical diagnosis project called Intelligent Interpretation of Isokinetics Data, which we developed. From that experience, a series of lessons were learned throughout project development. Some of these lessons are generally applicable and others pertain exclusively to certain project types.

Expert systems for quality prediction in structural engineering

This work deals with quality level prediction in concrete structures through the helpful assistance of an expert system wich is able to apply reasoning to this field of structural engineering. Evidences, hypotheses and factors related to this human knowledge field have been codified into a Knowledge Base in terms of probabilities for the presence of either hypotheses or evidences,and conditional presence of both. Human experts in structural engineering and safety of structures gave their invaluable knowledge and assistance necessary when constructing the "computer knowledge body".

Accesibilidad y mejora de un sistema Web e implementación de RSS para avisos

El presente Trabajo de Fin de Grado se enmarca dentro del sistema web de la asignaturade Procesadores de Lenguajes perteneciente al departamento de Lenguajes y Sistemas Informáticos e Ingeniería de Software de la Escuela Técnica Superior de Ingenieros Informáticos de la Universidad Politécnica de Madrid. Este Trabajo consta de varias líneas de desarrollo, que se engloban dentro de dicho marco y surgen de la necesidad de mejorar el sistema para hacer que éste sea accesible a todo tipo de usuarios, y a la vez se mantenga actualizado según las tecnologías más recientes. En primer lugar, el presente Trabajo se centra en estudiar la accesibilidad de la web de la asignatura de Procesadores de Lenguajes siguiendo las Pautas de Accesibilidad al Contenido en la Web (Web Content Accessibility Guidelines, WCAG) en su segunda versión (2.0). Para ello, se ha llevado a cabo un informe detallado que recoge los resultados de este estudio sobre los criterios de aceptación de las WCAG, y posteriormente se han implementado los cambios necesarios para solucionar los criterios erróneos detectados. De esta manera se puede asegurar que la web es accesible para personas con distintos tipos de discapacidad. Así mismo, y siguiendo el criterio de conseguir una web más accesible, se ha adaptado el sistema a tecnologías más recientes. En el momento de empezar el Trabajo, el sistema web contaba con una serie de páginas estáticas (XHTML 1.1 + CSS 2.1) y una serie de páginas dinámicas (XHTML 1.1 + CSS 2.1 + PHP + MySQL). Estas páginas han sido actualizadas a sus versiones más recientes (HTML 5 y CSS 3). La web cuenta también con un sistema de creación de grupos de prácticas que facilita su gestión tanto a profesores como a alumnos, además de facilitar el alta de los estudiantes de la asignatura. El sistema posee además un módulo de administración para que el personal docente pueda gestionarlo. Sobre este sistema web implantado en la actualidad, se ha realizado una batería de pruebas para garantizar su correcto funcionamiento, y se han corregido todos los errores detectados durante dicho proceso. Al mismo tiempo, se han implementado nuevas funcionalidades que han ido surgiendo desde la creación del sistema hasta el momento presente. Por último, se ha desarrollado un sistema de avisos RSS que permite a los alumnos de la asignatura permanecer al corriente de los avisos y noticias publicados en el tablón de anuncios de la web. Este sistema de avisos RSS servirá también para otros sitios web del Centro que utilicen el tablón de avisos multipropósito y podrá ser visualizado tanto en inglés como en español. ---ABSTRACT---The present final year project is set within the framework of the subject “Procesadores de Lenguajes”, that belongs to the “Computer Languages and Systems and Software Engineering” department of the Escuela Técnica Superior de Ingenieros Informáticos of the Polytechnic University of Madrid. This study is divided in several angles of development that are included inside the abovementioned framework. They all emerge from the necessity of upgrading the system in order to make it accessible to everybody and the same time bringing it up to date to the latest technologies. First of all, it is focused on the study of the accessibility of the web site of the subject Procesadores de Lenguajes, following the second version of the Web Content Accessibility Guidelines (WCAG 2.0). In order to do this, an in-depth report containing the results of the study on the acceptance criteria of the WCAG has been developed. Right afterwards, necessary changes were implemented to correct the erroneous criteria detected. Similarly, and following the criteria of achieving a more accessible web site, the system has been adapted to updated technologies. At the start point, the web system consisted in a series of static pages (XHTML 1.1 + CSS 2.1) and a series of dynamic ones (XHTML 1.1 + CSS 2.1 + PHP + MySQL). These pages have been updated to their latest versions (HTML 5 and CSS 3). The web site has a system for the creation of working groups that makes their management easier, both for the teachers and for the students, as well as the registration process. The teaching staff can also manage the system through the administration module. Over the current web system, sets of several tests have taken place in order to guarantee its correct functioning and all the errors that appeared have been corrected. Likewise, new functionalities have been implemented, and those have been arising since the creation of the system till the present time. Finally, an RSS alert system has been developed, allowing students to keep updated on the news and alerts published in the website noticeboard. This RSS alert system will be shared with other websites of the School using the multipurpose noticeboard, and will be available both in Spanish and English.

New data on the specular reflectance of ores (VNIR: 400 - 1000 nm) and their significance for ore microscopy

This work is part of the project CAMEVA for the development of an expert system aimed at the automatic identification of ores [1, 2]. It relies on the measure of their reflectance values, R, on digital images. Software for calibration, acquisition and analysis of the multispectral data was designed by AITEMIN [3]; the research was also assessed by H.J. Bernhardt and E. Pirard [1].

Aplicación del análisis multi-espectral para el reconocimiento automatizado de menas metálicas

Traditional identification of ore minerals with reflected light microscopy relies heavily on the experience of the observer. Qualified observers have become a rarity, as ore microscopy is often neglected in today’s university training, but since it furnishes necessary and inexpensive information, innovative alternatives are needed, especially for quantification. Many of the diagnostic optical properties of ores defy quantification, but recent developments in electronics and optics allow new insights into the reflectance and colour properties of ores. Preliminary results for the development of an expert system aimed at the automatic identification of ores based on their reflectance properties are presented. The discriminatory capacity of the system is enhanced by near IR reflectance measures, while UV filters tested to date are unreliable. Interaction with image analysis software through a wholly automated microscope, to furnish quantitative and morphological information for geometallurgy, relies on automated identification of the ores based on the measured spectra. This methodology increases enormously the performance of the microscopist; nevertheless supervision by an expert is always needed.

Automatic Adaptation of Airport Surface Surveillance to Sensor Quality

This paper describes a novel method to enhance current airport surveillance systems used in Advanced Surveillance Monitoring Guidance and Control Systems (A-SMGCS). The proposed method allows for the automatic calibration of measurement models and enhanced detection of nonideal situations, increasing surveillance products integrity. It is based on the definition of a set of observables from the surveillance processing chain and a rule based expert system aimed to change the data processing methods

Automating HAZOP studies using D-higraphs

In this paper, we present the use of D-higraphs to perform HAZOP studies. D-higraphs is a formalism that includes in a single model the functional as well as the structural (ontological) components of any given system. A tool to perform a semi-automatic guided HAZOP study on a process plant is presented. The diagnostic system uses an expert system to predict the behavior modeled using D-higraphs. This work is applied to the study of an industrial case and its results are compared with other similar approaches proposed in previous studies. The analysis shows that the proposed methodology fits its purpose enabling causal reasoning that explains causes and consequences derived from deviations, it also fills some of the gaps and drawbacks existing in previous reported HAZOP assistant tools.