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3rd IEEE International Work-Conference on Bioinspired Intelligence最新文献

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Comparison of complexity measures for DNA sequence analysis DNA序列分析复杂性测度的比较
3rd IEEE International Work-Conference on Bioinspired Intelligence Pub Date : 2014-07-16 DOI: 10.1109/IWOBI.2014.6913941
Ricardo E. Monge, J. L. Crespo
{"title":"Comparison of complexity measures for DNA sequence analysis","authors":"Ricardo E. Monge, J. L. Crespo","doi":"10.1109/IWOBI.2014.6913941","DOIUrl":"https://doi.org/10.1109/IWOBI.2014.6913941","url":null,"abstract":"This paper looks into DNA analysis by computing and comparing complexity measures, in addition to providing a review of recent studies regarding the measurement of DNA complexity. The authors compare Shannon Entropy, Kolmogorov Complexity (approximated by Lempel-Ziv Compressibility) and statistical complexity, and observe that regions corresponding to genes have consistently different complexity measures (i.e., they are more regular) than those regions that do not have any gene associated with them. This provides insight on how to develop new tools for automated DNA analysis.","PeriodicalId":433659,"journal":{"name":"3rd IEEE International Work-Conference on Bioinspired Intelligence","volume":"138 9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128832286","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}
引用次数: 5
An Artificial Immune System for job recommendation 用于工作推荐的人工免疫系统
3rd IEEE International Work-Conference on Bioinspired Intelligence Pub Date : 2014-07-16 DOI: 10.1109/IWOBI.2014.6913935
Shaha T. Al-Otaibi, M. Ykhlef
{"title":"An Artificial Immune System for job recommendation","authors":"Shaha T. Al-Otaibi, M. Ykhlef","doi":"10.1109/IWOBI.2014.6913935","DOIUrl":"https://doi.org/10.1109/IWOBI.2014.6913935","url":null,"abstract":"Artificial Immune System is a novel computational intelligence technique inspired by immunology has appeared in the recent few years and takes inspiration from the immune system in order to develop new computational mechanisms to solve problems in a broad range of domain areas. This paper presents a problem oriented approach to design an immunizing solution for job recommendation problem. We will describe the immune system metaphors that are relevant to job recommender system. Then, discuss the design issues that should be taken into account such as, the features of the problem to be modeled, the data representation, the affinity measures, and the immune process that should be tailored for the problem. Finally, the corresponding computational model is presented.","PeriodicalId":433659,"journal":{"name":"3rd IEEE International Work-Conference on Bioinspired Intelligence","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123643282","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}
引用次数: 5
Brain structures recognition using MER signals and medical images - application to brain deep stimulation surgery 脑核磁共振信号和医学图像的脑结构识别——在脑深部刺激手术中的应用
3rd IEEE International Work-Conference on Bioinspired Intelligence Pub Date : 2014-07-16 DOI: 10.1109/IWOBI.2014.6913939
Á. Orozco, Hernán García, Hernan D. Vargas, C. Castellanos, J. B. Padilla, Ramiro Arango
{"title":"Brain structures recognition using MER signals and medical images - application to brain deep stimulation surgery","authors":"Á. Orozco, Hernán García, Hernan D. Vargas, C. Castellanos, J. B. Padilla, Ramiro Arango","doi":"10.1109/IWOBI.2014.6913939","DOIUrl":"https://doi.org/10.1109/IWOBI.2014.6913939","url":null,"abstract":"Deep brain stimulation (DBS) is the most suitable surgical procedure for patients with Parkinson disease whose symptoms are not well controlled by drug treatment, or who cannot tolerate the side-effects of medication. The success of this surgery procedure, depends on the correct location of the neurostimulator device over the basal ganglia area (i.e. thalamus and globus pallidus). This paper presents a software system DEEPBRAINnav as support tool in Parkinson surgery. This software serves as support to the neurological specialist in DBS surgery. DEEPBRAINnav is composed mainly by two applications. First, it allows to the medical specialist, online recognition of brain structures by the analysis of signals from microelectrode recordings (MER), as well as analyses offline databases allowing the inclusion of new trained classifiers for automatic identification of thalamus location. Secondly, the software includes an interactive application to perform the tracking of the microelectrode device, allowing to the neurosurgeon visualize the path and real location of the microelectrode device implant process. DEEPBRAINnav has been tested for Deep Brain Stimulation surgeries performed at the Institute for Epilepsy and Parkinson of the Eje Cafetero (Colombia). The results shows an accurate tracking of the microelectrode implanting process and achieving positive identifications of the Subthalamic Nucleus (STN) over to 85% using a naive Bayes classifier. Furthermore, develop applications for image and signals guide surgery procedures, allows to the neurologist obtain more support information of a surgery procedure given, with the aim to increase the robustness of the DBS surgery.","PeriodicalId":433659,"journal":{"name":"3rd IEEE International Work-Conference on Bioinspired Intelligence","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114897241","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}
引用次数: 0
Biometric personal identification system based on patterns created by finger veins 基于手指静脉形态的生物识别系统
3rd IEEE International Work-Conference on Bioinspired Intelligence Pub Date : 2014-07-16 DOI: 10.1109/IWOBI.2014.6913940
Abrahan Perez Vega, C. Travieso, J. B. Alonso
{"title":"Biometric personal identification system based on patterns created by finger veins","authors":"Abrahan Perez Vega, C. Travieso, J. B. Alonso","doi":"10.1109/IWOBI.2014.6913940","DOIUrl":"https://doi.org/10.1109/IWOBI.2014.6913940","url":null,"abstract":"This paper proposes a biometric system to identify people based on the pattern of finger vein. The system uses a database of human index finger images acquired on infrared range. The present proposal has applied Sobel detector, enhancement filter and a binarization process to get the vein pattern. The testing results have reached an equal error rate of 27.56%, and a Genuine Acceptance Rate of 100% for a False Acceptance Rate of 0%.","PeriodicalId":433659,"journal":{"name":"3rd IEEE International Work-Conference on Bioinspired Intelligence","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115067654","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}
引用次数: 19
Statistical study of the channel parameters in Underwater Wireless Optical Links 水下无线光链路信道参数的统计研究
3rd IEEE International Work-Conference on Bioinspired Intelligence Pub Date : 2014-07-16 DOI: 10.1109/IWOBI.2014.6913950
V. Guerra, O. El-Asmar, C. Suarez-Rodriguez, R. Pérez-Jiménez, J. M. Luna-Rivera
{"title":"Statistical study of the channel parameters in Underwater Wireless Optical Links","authors":"V. Guerra, O. El-Asmar, C. Suarez-Rodriguez, R. Pérez-Jiménez, J. M. Luna-Rivera","doi":"10.1109/IWOBI.2014.6913950","DOIUrl":"https://doi.org/10.1109/IWOBI.2014.6913950","url":null,"abstract":"In this paper, a statistical inference of the probability function regarding the channel parameters of an underwater wireless optical link is presented. Several Monte Carlo simulations of the channel impulse response have been obtained in order to generate an independent data set. Both delay spread and losses have been calculated for every iteration of each designed scenario. Finally, a statistical inference process has been made to find the best-fitting option for the channel parameters.","PeriodicalId":433659,"journal":{"name":"3rd IEEE International Work-Conference on Bioinspired Intelligence","volume":"232 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123626276","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}
引用次数: 9
GPGPU implementation of fractal image coding GPGPU实现的分形图像编码
3rd IEEE International Work-Conference on Bioinspired Intelligence Pub Date : 2014-07-16 DOI: 10.1109/IWOBI.2014.6913947
O. Alvarado-Nava, Hilda María Chablé Martínez, Eduardo Rodríguez-Martínez
{"title":"GPGPU implementation of fractal image coding","authors":"O. Alvarado-Nava, Hilda María Chablé Martínez, Eduardo Rodríguez-Martínez","doi":"10.1109/IWOBI.2014.6913947","DOIUrl":"https://doi.org/10.1109/IWOBI.2014.6913947","url":null,"abstract":"The programming model of general propose computing on graphic processing units (GPGPU) offers great efficiency for applications acceleration. This feature is granted by the ability of partitioning a sequential application into smaller subproblems with high computing requirements; those subproblems can be executed in parallel by a graphics processing unit (GPU) and partial results can be transferred to main memory where the central processing unit (CPU) collects and presents them. On the other hand, 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 propose a parallel implementation of FIC on a GPGPU system which achieves an acceleration on coding time of about 129 times.","PeriodicalId":433659,"journal":{"name":"3rd IEEE International Work-Conference on Bioinspired Intelligence","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128839568","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}
引用次数: 2
Segmentation of bio-signals in field recordings using fundamental frequency detection 基于基频检测的野外记录生物信号分割
3rd IEEE International Work-Conference on Bioinspired Intelligence Pub Date : 2014-07-16 DOI: 10.1109/IWOBI.2014.6913944
N. García, E. Macias-Toro, J. Vargas-Bonilla, J. Daza, J. López
{"title":"Segmentation of bio-signals in field recordings using fundamental frequency detection","authors":"N. García, E. Macias-Toro, J. Vargas-Bonilla, J. Daza, J. López","doi":"10.1109/IWOBI.2014.6913944","DOIUrl":"https://doi.org/10.1109/IWOBI.2014.6913944","url":null,"abstract":"Monitoring animal species by means of the automatic sound recognition is nowadays a research field of high interest. One of the challenges of this area lies in the segmentation of the species vocalizations. Recordings acquired in natural habitats are contaminated with the sounds emitted by other species and different kinds of background noise. If the data is “clean” a robust segmentation is feasible, otherwise a pre-processing stage must be carefully performed in order to recover relevant information over the noise effect. In this manuscript, we propose the use of the Karnuhen-Loeve Transform noise reduction algorithm as an additional pre-processing sub-stage. We also propose a segmentation method based on the Fundamental Frequency detection and Voiced/Unvoiced segmentation, implemented with the Voice Analysis software Praat. Preliminary results show that the proposed pre-processing scheme improves the segmentation process, with results comparable to the commercial software Song Scope.","PeriodicalId":433659,"journal":{"name":"3rd IEEE International Work-Conference on Bioinspired Intelligence","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114380100","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}
引用次数: 3
Rotation distortions for improvement in face recognition with PCNC 旋转畸变对PCNC人脸识别的改进
3rd IEEE International Work-Conference on Bioinspired Intelligence Pub Date : 2014-07-16 DOI: 10.1109/IWOBI.2014.6913937
Z. Cruz Monterrosas, T. Baidyk, E. Kussul, A. J. Ibarra Gallardo
{"title":"Rotation distortions for improvement in face recognition with PCNC","authors":"Z. Cruz Monterrosas, T. Baidyk, E. Kussul, A. J. Ibarra Gallardo","doi":"10.1109/IWOBI.2014.6913937","DOIUrl":"https://doi.org/10.1109/IWOBI.2014.6913937","url":null,"abstract":"The face recognition is a very important task in security (airports, institutions, and so on) and authentication through photo tagging in social networks. We propose to improve face recognition with the Permutation Coding Neural Classifier (PCNC) using a special type of distortions of original images (for example, rotations) to train the neural network. We applied the distortions to the initial image database (the FRAV2D image database) and produced an extended rotated version of it that allowed us to improve the training process of PCNC neural classifier. The results obtained show a better recognition rate in comparison to Support Vector Machine (SVM) and Iterative Closest Point (ICP).","PeriodicalId":433659,"journal":{"name":"3rd IEEE International Work-Conference on Bioinspired Intelligence","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126765938","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}
引用次数: 3
Wind speed modelling for the estimation of the wind energy generation 用于估算风力发电量的风速模型
3rd IEEE International Work-Conference on Bioinspired Intelligence Pub Date : 2014-07-16 DOI: 10.1109/IWOBI.2014.6913936
J. G. Hernández-Travieso, C. Travieso, J. B. Alonso
{"title":"Wind speed modelling for the estimation of the wind energy generation","authors":"J. G. Hernández-Travieso, C. Travieso, J. B. Alonso","doi":"10.1109/IWOBI.2014.6913936","DOIUrl":"https://doi.org/10.1109/IWOBI.2014.6913936","url":null,"abstract":"This paper proposes the design and implementation of wind speed modelling for the estimation of the wind energy generation, based on different series of data collected from meteorological stations at the Gran Canaria Airport and Tenerife Sur Airport (Canary Islands, Spain), that helps to generate green energy from wind by the estimation of wind speed. The classification method applied, in order to obtain a prediction, was Artificial Neural Network (ANN) multilayer perceptron, using a window size of meteorological data of 5 samples. The mean average error reached at the study of wind speed prediction was 0.85 meters per second.","PeriodicalId":433659,"journal":{"name":"3rd IEEE International Work-Conference on Bioinspired Intelligence","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114547810","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}
引用次数: 4
Distributed detection of debris flows on a wireless sensor network 基于无线传感器网络的泥石流分布式检测
3rd IEEE International Work-Conference on Bioinspired Intelligence Pub Date : 2014-07-16 DOI: 10.1109/IWOBI.2014.6913948
Oscar Vargas-Fallas, F. Torres-Rojas
{"title":"Distributed detection of debris flows on a wireless sensor network","authors":"Oscar Vargas-Fallas, F. Torres-Rojas","doi":"10.1109/IWOBI.2014.6913948","DOIUrl":"https://doi.org/10.1109/IWOBI.2014.6913948","url":null,"abstract":"Debris flows are very destructive phenomena that cause damage to population living near rivers. Current warning systems for these phenomena are based on fixed instrumentation located at certain points through the river or indirectly, through remote measurements; as a result, the information they provide is limited, as it lacks real-time and precise data about the event location and its speed. In this paper, we introduce a set of algorithms and protocols for debris flows detection in rivers, using a wireless sensor network. The proposed detection protocol is distributed and decentralized, as it does not rely on a central coordinator to decide on the presence of the event. The proposed algorithms and protocols were evaluated on a simulator, in order to evaluate its performance. Results show that the algorithms are capable of detecting the phenomenon and alert people in the danger area with enough anticipation to prevent a tragedy.","PeriodicalId":433659,"journal":{"name":"3rd IEEE International Work-Conference on Bioinspired Intelligence","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123363514","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}
引用次数: 0
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