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Parameter Experimentation for Epileptic Seizure Detection in EEG Signals using Short-Time Fourier Transform 短时傅里叶变换在脑电图信号中检测癫痫发作的参数实验
Res. Comput. Sci. Pub Date : 2019-12-31 DOI: 10.13053/rcs-148-9-7
Ricardo Ramos-Aguilar, J. A. Olvera-López, Iván Olmos, S. Sánchez-Urrieta, Manuel Martín Ortiz
{"title":"Parameter Experimentation for Epileptic Seizure Detection in EEG Signals using Short-Time Fourier Transform","authors":"Ricardo Ramos-Aguilar, J. A. Olvera-López, Iván Olmos, S. Sánchez-Urrieta, Manuel Martín Ortiz","doi":"10.13053/rcs-148-9-7","DOIUrl":"https://doi.org/10.13053/rcs-148-9-7","url":null,"abstract":"Short-time Fourier transform is a time-frequency method commonly used to analyze signals, particularly in EEGs. It has shown acceptable results for the identification of different actions, such as sleep disorders, epilepsy, and others, and in applications as brain-computer interfaces. However, the selection of short time Fourier transform parameters is not a trivial task, as the variability of these directly affects the resolution spectrogram, from which features are extracted to determine the constructed models in the classification stage. In this paper, experiments for determining STFT parameters such as window type and length, and overlapping are explored. As a case study, an EEG epilepsy database is used to identify healthy people versus patients suffering epileptic seizures, finding that the parameters modify the spectrogram visualization in terms of time/frequency and classification. Based on these experiments, it was concluded that the proposed strategy supports the correct selection of parameters that positively impact the accuracy of the results obtained.","PeriodicalId":220522,"journal":{"name":"Res. Comput. Sci.","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114563832","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
Análisis automático de estilo de escritura en textos de longitud variable 自动分析可变长度文本的写作风格
Res. Comput. Sci. Pub Date : 2019-12-31 DOI: 10.13053/rcs-148-11-14
Germán Ríos-Toledo
{"title":"Análisis automático de estilo de escritura en textos de longitud variable","authors":"Germán Ríos-Toledo","doi":"10.13053/rcs-148-11-14","DOIUrl":"https://doi.org/10.13053/rcs-148-11-14","url":null,"abstract":"Automatic analysis of the writing style is a task that consists in creating a model that represents the style of an author. The representation of an author’s style is generally obtained by counting the frequency of use of style markers present in a text. For a reliable analysis, it is important to consider the amount of information in the texts in terms of words or sentences. In this research, novels by ten different authors were evaluated using a style marker known as n-grams of four different categories. The set of novels of each author was divided into two stages. Each novel was divided into fragments of different sizes in which the number of sentences gradually decreases. A supervised machine learning algorithm was trained to predict to which of the two stages","PeriodicalId":220522,"journal":{"name":"Res. Comput. Sci.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116255940","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
A Model for Identifying Steps in Undergraduate Thesis Methodology 本科毕业论文方法论步骤识别模型
Res. Comput. Sci. Pub Date : 2019-12-31 DOI: 10.13053/rcs-148-5-2
Samuel González-López, A. López-López, Steven Bethard, Jesús Miguel García-Gorrostieta
{"title":"A Model for Identifying Steps in Undergraduate Thesis Methodology","authors":"Samuel González-López, A. López-López, Steven Bethard, Jesús Miguel García-Gorrostieta","doi":"10.13053/rcs-148-5-2","DOIUrl":"https://doi.org/10.13053/rcs-148-5-2","url":null,"abstract":". Knowledge generation is an important asset of great economic powers, and knowledge societies are a fundamental part in the development of countries. Mexico is a country that is in the process of development and improvement of its education system, according to the Educational Reform promoted since 2012 by the Federal Gov-ernment. We identified an area of opportunity at the undergraduate level to help improve the writing of students, specifically in draft theses and research proposals. This work focuses its efforts on analyzing with natural language processing techniques the ”Methodology” section, an important element for the development of a thesis, that helps the reader to understand if the techniques and data used are appropriate in an investigation. This paper proposes a Model to identify a series of steps in such a section. In addition, preliminary results of a basic exploration of a collected corpus are presented, pre-processing the text to generate a representation according to Language Models. The corpus contains documents of graduate and undergraduate levels in the computer science and information technologies domain. The preliminary results showed that the information extracted from the corpus serves to adequately differentiate the methodologies of both levels.","PeriodicalId":220522,"journal":{"name":"Res. Comput. Sci.","volume":"34 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114099720","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
Navegación en interiores utilizando la tecnología beacons 使用信标技术的室内导航
Res. Comput. Sci. Pub Date : 2019-12-31 DOI: 10.13053/rcs-148-8-26
A. M. Rebollar, L. López-García, Hugo Estrada-Esquivel, M. Mejía-Lavalle, Javier Ortiz Hernández
{"title":"Navegación en interiores utilizando la tecnología beacons","authors":"A. M. Rebollar, L. López-García, Hugo Estrada-Esquivel, M. Mejía-Lavalle, Javier Ortiz Hernández","doi":"10.13053/rcs-148-8-26","DOIUrl":"https://doi.org/10.13053/rcs-148-8-26","url":null,"abstract":"The Internet of Things (IoT) is promoting the generation of smart buildings. These buildings have as main requirement the navigation of interiors. However, GPS technology, which is used to carry out positioning, it cannot be used within a building because satellite signals do not travel well through solid materials. In this way, sensors, Bluetooth devices, or RFID that are used in smart buildings have been proposed. In this paper, we present an interior navigation proposal, which uses beacons technology and smartphones. Our software application obtains information from the context and generates the best route to reach the destination within an intelligent building. The Dijkstra algorithm was used to process all the information. Hence, our proposal aims to combine different technologies, and adapt developed algorithms to indoor navigation.","PeriodicalId":220522,"journal":{"name":"Res. Comput. Sci.","volume":"56 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127586156","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
A Content Model based on LOM specification Integrating Learning Disabilities: Toward an Adaptive Framework 集成学习障碍的基于LOM规范的内容模型:走向自适应框架
Res. Comput. Sci. Pub Date : 2019-12-31 DOI: 10.13053/rcs-148-5-1
J. M. Arteaga, J. Broisin, Miguel Angel Ortiz Esparza
{"title":"A Content Model based on LOM specification Integrating Learning Disabilities: Toward an Adaptive Framework","authors":"J. M. Arteaga, J. Broisin, Miguel Angel Ortiz Esparza","doi":"10.13053/rcs-148-5-1","DOIUrl":"https://doi.org/10.13053/rcs-148-5-1","url":null,"abstract":"Learning disabilities can be defined as neurologically based processing problems that interfere with basic learning skills such as understanding, reading or counting, but also with higher-level skills such as space and time coordination. Adaptive learning systems are usually not designed to take into account learning disabilities, even if the need for enhancing support of learners with disabilities is more and more important within nowadays society. We first identify the set of learning disabilities to consider in an accessible adaptive learning system; then a content model is proposed integrating the matching abilities and extending a standard to ensure interoperability with existing solutions. Finally, a case study is presented to apply the proposed model in order to identify a learning object designed to support math skills at elementary school.","PeriodicalId":220522,"journal":{"name":"Res. Comput. Sci.","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125674116","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: 1
Apptojo: Behavioral Relationship between Consumers and Food Merchants through a CRM Mobile Application Apptojo:通过CRM移动应用程序实现消费者与食品商家之间的行为关系
Res. Comput. Sci. Pub Date : 2019-12-31 DOI: 10.13053/rcs-148-6-2
U. Hernandez, Mariela Chávez Marcial
{"title":"Apptojo: Behavioral Relationship between Consumers and Food Merchants through a CRM Mobile Application","authors":"U. Hernandez, Mariela Chávez Marcial","doi":"10.13053/rcs-148-6-2","DOIUrl":"https://doi.org/10.13053/rcs-148-6-2","url":null,"abstract":"Emerging markets become part of a digital economy [1], in which the marketing of food is one of the most important supply lines in the topics of human consumption, the MiPymes of the State of Michoacán, Mexico, have a clear disadvantage to the large fast food chains, which have technologies (CRM) for the distribution and marketing of their products. The use of mobile technologies allows MSMEs the opportunity to compete with large chains, while creating a consumer experience, giving rise to a set of data that can determine the behavior of customers and companies. Apptojo emerges as a tool that provides a solution to link and make sales between customers and companies, generating proposals of dishes visible to the customer and ordered by a dynamic system of geolocation and randomness of most consumed dishes.","PeriodicalId":220522,"journal":{"name":"Res. Comput. Sci.","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125910573","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
Sistema hipermedia adaptativo para el apoyo del aprendizaje autónomo del idioma inglés 支持英语自主学习的自适应超媒体系统
Res. Comput. Sci. Pub Date : 2019-12-31 DOI: 10.13053/rcs-148-3-8
Eugenia Erica Vera Cervantes, Yadira Navarro-Rangel, José-Ramón Guerrero
{"title":"Sistema hipermedia adaptativo para el apoyo del aprendizaje autónomo del idioma inglés","authors":"Eugenia Erica Vera Cervantes, Yadira Navarro-Rangel, José-Ramón Guerrero","doi":"10.13053/rcs-148-3-8","DOIUrl":"https://doi.org/10.13053/rcs-148-3-8","url":null,"abstract":". Presently the diversity of the students system considers the characteristics of the student (record), to adapt and present the educational contents. The results obtained from the system when conducting a pilot test with a sample of students are also presented.","PeriodicalId":220522,"journal":{"name":"Res. Comput. Sci.","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124305694","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: 1
Entrenamiento dinámico de redes convolucionales profundas para clasificación de imágenes 图像分类的深度卷积网络动态训练
Res. Comput. Sci. Pub Date : 2019-12-31 DOI: 10.13053/rcs-148-7-23
Oscar Frausto-Pérez, Alfonso Rojas Domínguez, Manuel Ornelas-Rodríguez, H. J. P. Soberanes, Martín Carpio
{"title":"Entrenamiento dinámico de redes convolucionales profundas para clasificación de imágenes","authors":"Oscar Frausto-Pérez, Alfonso Rojas Domínguez, Manuel Ornelas-Rodríguez, H. J. P. Soberanes, Martín Carpio","doi":"10.13053/rcs-148-7-23","DOIUrl":"https://doi.org/10.13053/rcs-148-7-23","url":null,"abstract":"In recent years, Deep Learning has positioned itself as one of the most successful paradigms for the solution of pattern recognition problems such as image classification. Particularly, CNNs (Convolutional Neural Networks) are one of the most used models for this task. A typical CNN incorporates hundreds of thousands of parameters that must be adjusted in what is known as the training of the network, through the use of large reference training sets. This training represents a high cost in computational time and resources even with the availability of GPUs to do the processing. In this work, an alternative scheme for management of the training data for CNNs is proposed which consists in the selective-adaptive sampling of the data. Through experiments performed on the CIFAR10 dataset for image classification, it is shown that the proposed scheme succeeds in decreasing the training time without significantly sacrificing the performance of the networks.","PeriodicalId":220522,"journal":{"name":"Res. Comput. Sci.","volume":"212 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122531709","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
Redes neuronales y árboles de decisión para la clasificación de objetos astronómicos 天体分类的神经网络和决策树
Res. Comput. Sci. Pub Date : 2019-12-31 DOI: 10.13053/rcs-148-7-36
Rogelio Hernández Montes, Cynthia Alejandra Martínez Pinto, S. Jiménez
{"title":"Redes neuronales y árboles de decisión para la clasificación de objetos astronómicos","authors":"Rogelio Hernández Montes, Cynthia Alejandra Martínez Pinto, S. Jiménez","doi":"10.13053/rcs-148-7-36","DOIUrl":"https://doi.org/10.13053/rcs-148-7-36","url":null,"abstract":"The objective of this research was to verify the feasibility of classify astronomical objects using photometric parameters. This identification gives as result candidate objects, who have the probability of being symbiotic. The search was done in the databases of the GAIA mission data, in its most recent data release (DR2). The classification is made through artificial intelligence. For the study the techniques of Artificial Neural Networks (RNA), Random Forest (RF), Decision Trees and Support Vector Machines (SVM) were used. A binary classification was made with these algorithms. A software was developed for the optimization of hyperparameters. The results of the research showed that Random Forest had a better performance (98%) in the comparison phase, and Decision Trees was the one with the lowest rate (90%). In addition to having a higher kappa index, random forests have less configuration complexity.","PeriodicalId":220522,"journal":{"name":"Res. Comput. Sci.","volume":"279 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121488730","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
Sign Language Recognition Based on EMG Signals through a Hibrid Intelligent System 基于肌电信号的混合智能手语识别
Res. Comput. Sci. Pub Date : 2019-12-31 DOI: 10.13053/rcs-148-6-19
Bernabé Rodríguez-Tapia, C. A. O. Zezzatti, Ángel Israel Soto Marrufo, Norma Candolfi Arballo, P. A. Carlos
{"title":"Sign Language Recognition Based on EMG Signals through a Hibrid Intelligent System","authors":"Bernabé Rodríguez-Tapia, C. A. O. Zezzatti, Ángel Israel Soto Marrufo, Norma Candolfi Arballo, P. A. Carlos","doi":"10.13053/rcs-148-6-19","DOIUrl":"https://doi.org/10.13053/rcs-148-6-19","url":null,"abstract":"Non-verbal communication is an important part of everyday interactions and human-computer interaction. Vision techniques and instrumented gloves for sign language recognition are commonly used, but these are often expensive and considered invasive to the user. This research proposes the recognition of words from the American Sign Language (ASL) using the SCEPTRE database acquired by two Myoelectrical bracelets. Computational intelligence techniques were used to optimize the number of attributes using Principal Component Analysis (PCA) and a classifier based on Neural Networks (NN). The results suggest that it is possible to reduce the attributes using PCA without significantly losing the quality in classification. This allows faster processing, a convenient feature for classifiers for real-time SL recognition.","PeriodicalId":220522,"journal":{"name":"Res. Comput. Sci.","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125004739","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
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