Music Learning Tools for Android Devices

In this paper, a musical learning application for mobile devices is presented. The main objective is to design and develop an application capable of offering exercises to practice and improve a selection of music skills, to users interested in music learning and training. The selected music skills are rhythm, melodic dictation and singing. The application includes an audio signal analysis system implemented making use of the Goertzel algorithm which is employed in singing exercises to check if the user sings the right musical note. This application also includes a graphical interface to represent musical symbols. A set of tests were conducted to check the usefulness of the application as musical learning tool. A group of users with different music knowledge have tested the system and reported to have found it effective, easy and accessible.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Avoiding staff removal stage in optical music recognition: application to scores written in white mensural notation

Staff detection and removal is one of the most important issues in optical music recognition (OMR) tasks since common approaches for symbol detection and classification are based on this process. Due to its complexity, staff detection and removal is often inaccurate, leading to a great number of errors in posterior stages. For this reason, a new approach that avoids this stage is proposed in this paper, which is expected to overcome these drawbacks. Our approach is put into practice in a case of study focused on scores written in white mensural notation. Symbol detection is performed by using the vertical projection of the staves. The cross-correlation operator for template matching is used at the classification stage. The goodness of our proposal is shown in an experiment in which our proposal attains an extraction rate of 96 % and a classification rate of 92 %, on average. The results found have reinforced the idea of pursuing a new research line in OMR systems without the need of the removal of staff lines.This work has been funded by the Ministerio de Educación, Cultura y Deporte of the Spanish Government under a FPU Fellowship No. AP20120939, by the Ministerio de Economía y Competitividad of the Spanish Government under Project No. TIN2013-48152-C2-1-R and Project No. TIN2013-47276-C6-2-R, by the Consejería de Educación de la Comunidad Valenciana under Project No. PROMETEO/2012/017 and by the Junta de Andalucía under Project No. P11-TIC-7154

Bi-LSTM neural network for EEG-based error detection in musicians’ performance

Electroencephalography (EEG) is a tool that allows us to analyze brain activity with high temporal resolution. These measures, combined with deep learning and digital signal processing, are widely used in neurological disorder detection and emotion and mental activity recognition. In this paper, a new method for mental activity recognition is presented: instantaneous frequency, spectral entropy and Mel-frequency cepstral coefficients (MFCC) are used to classify EEG signals using bidirectional LSTM neural networks. It is shown that this method can be used for intra-subject or inter-subject analysis and has been applied to error detection in musician performance reaching compelling accuracy.This work has been funded by Junta de Andalucía in the framework of Proyectos I+D+I en el marco del Programa Operativo FEDER Andalucia 2014–2020 under Project No.: UMA18-FEDERJA-023, Proyectos de I+D+i en el ámbito del Plan Andaluz de Investigación, Desarrollo e Innovación (PAIDI 2020) under Project No.: PY20_00237 and Universidad de Málaga, Campus de Excelencia Internacional Andalucia Tech . Funding for open access charge: Universidad de Málaga/CBU

Propuesta de un sistema de evaluación de revistas científica en las áreas de Ciencias Humanas y Sociales

El presente trabajo expone una experiencia de evaluación de publicaciones científicas en las áreas humanas y sociales en siete grandes campos científicos: ciencias jurídicas, ciencias económicas, historia y arte, ciencias sociales, filología, filosofía y ciencias de la educación y psicología. El objetivo fundamental es elaborar un listado de revistas ordenadas según nivel de calidad que sirva como complemento a la información suministrada por las bases de datos del ISI (Social Sciences Citation Index y Arts and Humanities Citation Index), para poder emprender evaluaciones de la actividad investigadora en estas áreas con una base cuantitativa suficiente

Machine learning para la optimización inteligente de la recogida de residuos

La recogida de residuos es uno de los servicios más importantes que las ciudades proporcionan. Las posibilidades de optimización a partir de la explotación de los datos recogidos son muy interesantes, si bien, deben considerarse todas las restricciones que aplican. El trabajo a realizar consiste en el desarrollo de los modelos y herramientas necesarios para el diseño de un sistema de predicción de llenado de los contenedores, a partir del cual poder realizar posteriormente la planificación óptima de rutas u otras actuaciones estratégicas. Estos modelos proporcionarán componentes software clave para determinar, en un momento determinado del futuro, cuál será el estado de llenado de un contenedor, así como determinar el momento en el que dicho contenedor se llenaría completamente, si antes no se procede a su vaciado. Para ello, el sistema debe tener en cuenta datos históricos de nivel de llenado. Estos datos sirven tanto de ajuste como de verificación de los diferentes modelos. Por otro lado, las variables de entrada deberán seleccionarse en función de su grado de relevancia en la predicción, considerando la disponibilidad de las mismas. Finalmente, el algoritmo debe tener en cuenta criterios de escalabilidad y flexibilidad para hacer posible su aplicación en áreas grandes.Waste collection is one of the most important services that cities provide. Optimization possibities from the exploitation of collected data are very interesting, although, all the restrictions that apply must be considered. The work to be carried out consists of the development of models and tools for the design of a filling waste container prediction system, from which to subsequently carry out optimal planning of routes or other strategic actions. These models will provide key software components to determine, at a certain point in the future, what will be the filling status of a container, as well as to know when it would be filled, if it is not emptied before. The system must consider historical filling level data. This data is used to adjust the different models, but also to verify it. On the other hand, the input variables should be selected according to their degree of relevance in the prediction, considering the availability of them. Finally, the algorithm must consider criteria of scalability and flexibility to make it possible to apply in large areas

Personality traits, theory of mind and their relationship with multiple suicide attempts in a sample of first episode psychosis patients: One-year follow-up study

BACKGROUND: High rates of suicidal behaviour (SB) have been found in first episode psychosis (FEP) patients. It has been suggested that the presence of multiple suicide attempts (mSA) increases the risk of later SA and the risk of eventual death by suicide. OBJECTIVE: Our main objective was to study the baseline factors associated with the presence of mSA during the first year after FEP. In addition, a second aim was to find out whether there were any differences between single and multiple suicide attempters in the timing of the first SA after FEP. METHOD: A total of 65 FEP patients were evaluated. The presence of SAs were recorded at two different times after FEP. Bivariate and multivariate analyses were performed to explore the relationship between SA with sociodemographic and clinical variables. RESULTS: Multiple linear regression showed that mSA was associated with the presence of increased symptom severity (B?=?0.35; t?=?3.67; p < 0.01) and errors in first-order false-belief task (B?=?0.48; t?=?2.11; p?=?0.04). There were significant differences in the timing of first SA after FEP between multiple and single suicide attempters. CONCLUSIONS: Theory of mind impairments along with more severe symptoms during the first contact with mental health services for psychotic symptoms appeared to be important predictors of mSA. On the other hand, multiple suicide attempters tend to make a first SA after FEP earlier than single suicide attempters. These results could contribute to the implementation of preventive suicidal programs, however they must be confirmed by additional research.Funding: This study was funded by Ministry of Science and Innovation grant ISC PI11/0233

Energy Consumption of Wireless Network Access Points

2nd International Conference on Green Communications and Networking, GreeNets 2012; Gandia; Spain; 25 October 2012 through 26 October 2012The development of low cost technology based on IEEE 802.11 standard permits to build telecommunication networks at low cost, allowing providing Internet access in rural areas in developing countries. The lack of access to the electrical grid is a problem when the network is being developed in rural areas, so that wireless access points should operate using solar panels and batteries. Many cases can be found where the energy consumption becomes a key point in wireless network design. In this paper we present a comparative study of the energy consumption of several wireless network access points. We will compare the energy consumption of different brands and models, for several operation scenarios and operating modes. Obtained results allow us to achieve the objective of this article, that is, promote the development of wireless communication networks energetically efficient.Andrade Morelli, S.; Ruiz Sanchez, E.; Granell Romero, E.; Lloret, J. (2013). Energy Consumption of Wireless Network Access Points. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST. 113:81-91. doi:10.1007/978-3-642-37977-2_8S8191113Khoa Nguyen, K., Jaumard, B.: Routing Engine Architecture for Next Generation Routers: Evolutional Trends. Network Protocols and Algorithms 1(1), 62–85 (2009)IEEE Std 802.11: IEEE Standard for Information technology -Telecommunications and information exchange between systems -Local and metropolitan area networks - Specific requirements – Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications. Institute of Electrical and Electronics Engineers, New York, USA, pp.1–1184 (2007)Lloret, J., Garcia, M., Bri, D., Sendra, S.: A Wireless Sensor Network Deployment for Rural and Forest Fire Detection and Verification. Sensors 9(11), 8722–8747 (2009)Tapia, A., Maitland, C., Stone, M.: Making IT work for Municipalities: Building municipal wireless networks. Government Information Quarterly 23(3), 359–380 (2006)van Drunen, R., Koolhaas, J., Schuurmans, H., Vijn, M.: Building a Wireless Community Network in the Netherland. In: USENIX 2003 / Freenix Annual Technical Conference Proceedings, San Antonio, Texas, USA, June 9-14, pp. 219–230 (2003)Powell, A., Shade, L.R.: Going Wi-Fi in Canada: Municipal and Community Initiatives. Canadian Research Alliance for Community Innovation and Networking (2005)Sendra, S., Fernández, P.A., Quilez, M.A., Lloret, J.: Study and Performance of Interior Gateway IP routing Protocols. Network Protocols and Algorithms 2(4), 88–117 (2010)Galperin, H.: Wireless Networks and Rural Development: Opportunities for Latin America. Information Technologies and International Development 2(3), 47–56 (2005)Segal, M.: Improving lifetime of wireless sensor networks. Network Protocols and Algorithms 1(2), 48–60 (2009)Momani, A.A.E., Yassein, M.B., Darwish, O., Manaseer, S., Mardini, W.: Intelligent Paging Backoff Algorithm for IEEE 802.11 MAC Protocol. Network Protocols and Algorithms 4(2), 108–123 (2012)Mohsin, A.H., Bakar, K.A., Adekiigbe, A., Ghafoor, K.Z.: A Survey of Energy-aware Routing protocols in Mobile Ad-hoc Networks: Trends and Challenges. Network Protocols and Algorithms 4(2), 82–107 (2012)Feeney, L.M., Nilsson, M.: Investigating the Energy Consumption of a Wireless Network Interface in an Ad Hoc Networking Environment. In: Proceedings of the Twentieth Annual Joint Conference of the IEEE Computer and Communications Societies, INFOCOM 2001, Anchorage, Alaska, April 22-26, vol. 3, pp. 1548–1557. IEEE (2001)Barbancho, J., León, C., Molina, F.J., Barbancho, A.: Using artificial intelligence in routing schemes for wireless networks. Computer Communications 30(14-15), 2802–2811 (2007)Tao, C., Yang, Y., Honggang, Z., Haesik, K., Horneman, K.: Network energy saving technologies for green wireless access networks. IEEE Wireless Communications 18(5), 30–38 (2011)Sendra, S., Lloret, J., Garcia, M., Toledo, J.F.: Power saving and energy optimization techniques for Wireless Sensor Networks. Journal of Communications 6(6), 439–459 (2011