Anupama Bhan, Ayush Goyal, M. Dutta, Dushyant Sankhla, P. Khanna, C. Travieso-González, J. B. Alonso
{"title":"Left Ventricle wall extraction in cardiac MRI using region based level sets and vector field convolution","authors":"Anupama Bhan, Ayush Goyal, M. Dutta, Dushyant Sankhla, P. Khanna, C. Travieso-González, J. B. Alonso","doi":"10.1109/IWOBI.2015.7160156","DOIUrl":"https://doi.org/10.1109/IWOBI.2015.7160156","url":null,"abstract":"Left Ventricle imaging using short-axis MRI sequences is considered as an important tool used for evaluating cardiac function by calculating important clinical cardiac parameters. This requires manual tracing of LV wall which is subjective, tedious and time-consuming process. This paper presents semi-automatic method for left ventricle inner wall (endocardium) segmentation. This paper focuses on segmenting one complete cardiac cycle without any user intervention. The method used in this paper is region based level sets and vector field convolution active contour model out of which the later method has significantly achieved the better segmentation results. The end systolic and end diastolic volume is calculated by both the methods. The methods are tested on many images and time consumption is reduced using vector field convolution which takes only 30 iterations for segmenting one image per slice. The clinical parameters end diastolic volume, end systolic volume and ejection fraction values obtained from both methods are compared with the values of manually segmented images. The value obtained from vector field convolution gives a closer value to manual segmentation which proves the accuracy of the method and can be considered clinically significant. This semi-automatic approach provides cardiac radiologists a practical method for an accurate segmentation of left ventricle.","PeriodicalId":373170,"journal":{"name":"2015 4th International Work Conference on Bioinspired Intelligence (IWOBI)","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124383941","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An automatic and adaptive phonetic transcriber for the Basque language","authors":"N. Barroso, K. L. D. Ipiña, P. Calvo","doi":"10.1109/IWOBI.2015.7160161","DOIUrl":"https://doi.org/10.1109/IWOBI.2015.7160161","url":null,"abstract":"This paper proposes an automatic and adaptive phonetic transcriber (PT) for Basque. In order to develop this transcriber, the sociocultural situation of the Basque Country has to be taken into account. Basque is an minority language that has many dialects, so it shows a wide range of language varieties spread across very small geographical zones. Thus, words can be pronounced in different ways depending of the origin of the speaker, or if she/he is non-native, which is very common due to the sociolinguistic characteristics of the Basque region. In this context, there are phonetic realizations out of transcription standards for Basque, so we present an automatic PT that is able to achieve transcriptions in standard Basque and adapt to real particular realizations. The phonetic transcription of spoken discourse is the foundation on which any system based on voice recognition is built, so this point is crucial not only to enrich the knowledge of a minority language, but also to develop other related speech recognition applications.","PeriodicalId":373170,"journal":{"name":"2015 4th International Work Conference on Bioinspired Intelligence (IWOBI)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123068822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Á. García-Pedrero, Dionisio Rodríguez-Esparragón, C. Gonzalo-Martín, Edurne Ibarrola, M. Lillo-Saavedra, J. Marcello
{"title":"Automatic identification of shrub vegetation of the Teide National Park","authors":"Á. García-Pedrero, Dionisio Rodríguez-Esparragón, C. Gonzalo-Martín, Edurne Ibarrola, M. Lillo-Saavedra, J. Marcello","doi":"10.1109/IWOBI.2015.7160144","DOIUrl":"https://doi.org/10.1109/IWOBI.2015.7160144","url":null,"abstract":"The identification of vegetation using remote sensing imagery is an important area of work with numerous applications such as the analysis of deforestation and crop monitoring. This work focuses on locating populations of an endemic shrub of the Canary Islands that grows in Teide National Park: the Teide broom. The objective is to determine automatically the location of this species in order to facilitate conservation efforts. For this purpose, a methodology is presented based on image analysis by using superpixels as the minimum image processing unit, combined with one-class classification. The proposed scheme has been analyzed by applying it to an area located at the northwest of the Teide National Park where the existence of populations of this shrub was known a priori.","PeriodicalId":373170,"journal":{"name":"2015 4th International Work Conference on Bioinspired Intelligence (IWOBI)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126861683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
K. L. D. Ipiña, M. Iturrate, J. B. Alonso, B. Rodríguez‐Herrera
{"title":"Automatic acoustic analysis for biodiversity preservation: A multi-environmental approach","authors":"K. L. D. Ipiña, M. Iturrate, J. B. Alonso, B. Rodríguez‐Herrera","doi":"10.1109/IWOBI.2015.7160142","DOIUrl":"https://doi.org/10.1109/IWOBI.2015.7160142","url":null,"abstract":"Biodiversity preservation is essential for environmental health, which is becoming a valuable indicator for quality of life for human being. In this sense, automatic and bioinspired intelligent system can provide powerful tools for monitoring, identification or tracking of species. Automatic acoustic analysis is a non-invasive methodology, easy to use and useful even in complex conditions and inaccessible environments. This work is focused on the development of an automatic system for analysis of environmental agents and their interaction and it is based on human hearing abilities and several Machine Learning paradigms. This preliminary system is evaluated over a multi-environmental database.","PeriodicalId":373170,"journal":{"name":"2015 4th International Work Conference on Bioinspired Intelligence (IWOBI)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122891729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
F. de-la-Calle-Silos, F. J. Valverde-Albacete, A. Gallardo-Antolín, Carmen Peláez-Moreno
{"title":"Preliminary experiments on the robustness of biologically motivated features for DNN-based ASR","authors":"F. de-la-Calle-Silos, F. J. Valverde-Albacete, A. Gallardo-Antolín, Carmen Peláez-Moreno","doi":"10.1109/IWOBI.2015.7160162","DOIUrl":"https://doi.org/10.1109/IWOBI.2015.7160162","url":null,"abstract":"A perceptually motivated feature extraction method based on mimicking the masking properties of the cochlea has been recently found to provide enhanced performance when applied to conventional speech recognition back-ends. On the other hand, the introduction of Deep Neural Network (DNN) based acoustic models has produced dramatic improvements in performance. In particular, we found that Deep Maxout Networks, a modification of DNNs' feed-forward architecture that uses a max-out activation function, provides enhanced robustness to environmental noise. In this paper, we present preliminary experiments on the combination of these two elements that already show how the DMN-based back-end is capable of taking advantage of these auditorily inspired features making the whole system more robust and also suggesting that human-like representations of speech keep playing an important role in DNN-based automatic speech recognition systems.","PeriodicalId":373170,"journal":{"name":"2015 4th International Work Conference on Bioinspired Intelligence (IWOBI)","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128137260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
O. A. Nava, Hilda Maria Chable Martinez, Eduardo Rodríguez-Martínez
{"title":"GPGPU implementation of FIC using texture memory","authors":"O. A. Nava, Hilda Maria Chable Martinez, Eduardo Rodríguez-Martínez","doi":"10.1109/IWOBI.2015.7160164","DOIUrl":"https://doi.org/10.1109/IWOBI.2015.7160164","url":null,"abstract":"Fractal Image Coding (FIC) is a lossy compression technique with promising features, however it has been relegated due to its large coding time. The present article proposes an efficient parallel implementation of FIC algorithm on a general propose computing on graphic processing unit (GPGPU) system. Two parallel implementations using different memory spaces are compared: global memory and texture memory. The experiments demostrated that texture memory achived a better acceleration factor than global memory of about 350 times.","PeriodicalId":373170,"journal":{"name":"2015 4th International Work Conference on Bioinspired Intelligence (IWOBI)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127810229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Man Mohan, R. Prem Kumar, Rachit Agrawal, Surbhi Sharma, M. Dutta, C. Travieso, J. B. Alonso-Hernández
{"title":"Finger vein recognition using Integrated Responses of Texture features","authors":"Man Mohan, R. Prem Kumar, Rachit Agrawal, Surbhi Sharma, M. Dutta, C. Travieso, J. B. Alonso-Hernández","doi":"10.1109/IWOBI.2015.7160168","DOIUrl":"https://doi.org/10.1109/IWOBI.2015.7160168","url":null,"abstract":"The finger vein recognition system is a secure and a reliable system with the advantage of robustness against malicious attacks. It is more convenient to operate this biometric feature than other biometric features such as facial and iris recognition system. The paper proposes a unique technique to find the local and the global features using Integrated Responses of Texture (IRT) features from finger veins which improves the overall accuracy of the system and is invariant to rotations. The segmentation of region of interest at different resolution levels makes the system highly efficient. The lower resolution data gives the overall global features and the higher resolution data gives the distinct local features. The complete feature set is descriptive in nature and reduces the Equal Error Rate to 0.523%. The Multi-Support Vector Machine (Multi-SVM) is used to classify and match the obtained results. The experimental results indicate that the system is highly accurate with an accuracy of 94%.","PeriodicalId":373170,"journal":{"name":"2015 4th International Work Conference on Bioinspired Intelligence (IWOBI)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121008024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Juan Carlos Aldasoro, Mariano Jordi, Enara Zarrabeitia, A. Larrea
{"title":"Is competitive position associated to intensity in competitive intelligence activities?","authors":"Juan Carlos Aldasoro, Mariano Jordi, Enara Zarrabeitia, A. Larrea","doi":"10.1109/IWOBI.2015.7160150","DOIUrl":"https://doi.org/10.1109/IWOBI.2015.7160150","url":null,"abstract":"The aim is to research Competitive Intelligence (CI) activities in small and medium-sized enterprises (SMEs) in Spain. An attempt is made to analyze the differences existing between exporting and non-exporting firms. To this end, a questionnaire was distributed among 425 firms of the industry, selected from a list of innovative organizations. The results, highlighted significant differences exist between exporting and non-exporting firms in the intensity of CI activities depending on their competitive positioning. An evolution of Spanish SMEs is noted as far as CI activities are concerned, as there are an ever-increasing number of firms that have established formal procedures.","PeriodicalId":373170,"journal":{"name":"2015 4th International Work Conference on Bioinspired Intelligence (IWOBI)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116962309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. B. Alonso, Josue Cabrera, C. Travieso-González, K. L. D. Ipiña
{"title":"First approach to continuous tracking of emotional temperature","authors":"J. B. Alonso, Josue Cabrera, C. Travieso-González, K. L. D. Ipiña","doi":"10.1109/IWOBI.2015.7160163","DOIUrl":"https://doi.org/10.1109/IWOBI.2015.7160163","url":null,"abstract":"A wide range of new applications can arise from the emotional state assessment obtained from speech signal, which represents a marked improvement in the human-machine interfaces and becomes an important research area in the last years. The study of emotions is not a trivial task and involves a degree of difficulty. The great majority of researches on speech emotion recognition have been made on the basis of record repositories consisting short sentences recorded in laboratory conditions. In this work we propose a strategy, previously validated under the conditions described above, for continuous tracking in long-term samples of speech in which there are emotional changes during the speech. This strategy uses a few prosodic and paralinguistic features set obtained from a temporal segmentation of the speech signal, which is more appropriate in real-world scenarios. In this paper a simple and effective method of automatic discrimination between positive and negative emotional intensity speech, named Emotional Temperature, is presented. This strategy is robust, offers low computational cost, ability to detect emotional changes and improves the performance of a segmentation based on linguistic aspects.","PeriodicalId":373170,"journal":{"name":"2015 4th International Work Conference on Bioinspired Intelligence (IWOBI)","volume":"2014 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128943100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Evolution of Shannon entropy in a fish system (European seabass, Dicentrarchus labrax) during the recuperation period after exposure to methylmercury","authors":"H. Eguiraun, K. L. D. Ipiña, Iciar Martinez","doi":"10.1109/IWOBI.2015.7160145","DOIUrl":"https://doi.org/10.1109/IWOBI.2015.7160145","url":null,"abstract":"The development of non-invasive methods for fish welfare and contaminant monitoring is of high relevance for the production of high quality and safe farmed fish. We have recently shown the suitability of the Shannon entropy (SE) in a commercially relevant fish system (European seabass, Dicentrarchus labrax) to differentiate methylmercury (MeHg) treated fish from non-treated fish. The present work examines the evolution of the SE of a European seabass system during an 11 days recuperation period immediately after a 2 weeks treatment with 4 μg MeHg/L (Case C2) and compares it to that of a control group not treated with MeHg (Case 1). While the SE of the C1 increased during the recuperation period, that of C2 showed erratic responses with a very modest decreasing trend.","PeriodicalId":373170,"journal":{"name":"2015 4th International Work Conference on Bioinspired Intelligence (IWOBI)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122643746","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}