Kevin Marlon Soza Mamani, Fabio Richard Diaz Palacios
{"title":"Flocking Model for Self-Organized Swarms","authors":"Kevin Marlon Soza Mamani, Fabio Richard Diaz Palacios","doi":"10.1109/CONIELECOMP.2019.8673151","DOIUrl":"https://doi.org/10.1109/CONIELECOMP.2019.8673151","url":null,"abstract":"The algorithms of self-organized swarm control refer first to two basic behaviors, these are aggregation and flocking. The present work focuses its research on coordinated movement behavior that is defined as the ability of a group of individuals (usually composed of hundreds or thousands) to move and maneuver in a coordinated manner as if they were a single structure. Such behavior refers us to studies carried out in the field of trajectory control and aggregation behavior, both being keys for the development of a coordinated movement control algorithm. Therefore, control of the system starts from the combination of these studies. The control is a leading robot model which can be designated for any unit according to the assigned task. On the other hand, all robots except the leader keep the group attached and keeping a safe distance. The simulations of the system were developed for three units and later for twelve, observing the cohesion and uniformity of the swarm in movement.","PeriodicalId":360778,"journal":{"name":"International Conference on Electronics, Communications, and Computers","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122990952","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}
Carlos Jose Maria Casillas Mora, G. Ochoa-Ruiz, L. Aguilar-Lobo
{"title":"IoT-based panel for real time traffic data monitoring in Smart Cities: A case study in the Guadalajara Metropolitan Zone","authors":"Carlos Jose Maria Casillas Mora, G. Ochoa-Ruiz, L. Aguilar-Lobo","doi":"10.1109/CONIELECOMP.2019.8673236","DOIUrl":"https://doi.org/10.1109/CONIELECOMP.2019.8673236","url":null,"abstract":"The objective of the present article is to show the implementation of a smart panel to be placed all around Guadalajara Metropolitan Zone, that will be equipped with an informative screen, a camera, and internet access. It will be in charge of requesting the traffic information from the surrounding zone using web services, taking pictures of its vision field to be later uploaded, showing traffic information of different road segments (estimated traveling time) and download pictures of other nearby panels to be also shown on its informative screen. The system has been implemented in an embedded system, capable of running the web services client, and computer vision processing.","PeriodicalId":360778,"journal":{"name":"International Conference on Electronics, Communications, and Computers","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120953260","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":"Algorithm of Weed Detection in Crops by Computational Vision","authors":"A. Tejeda, R. C. Castro","doi":"10.1109/CONIELECOMP.2019.8673182","DOIUrl":"https://doi.org/10.1109/CONIELECOMP.2019.8673182","url":null,"abstract":"This research has been based on the use of precision agriculture tools for the management of weeds in crops. It has focused on the creation of an image-processing algorithm to detect the existence of weeds in a specific site of crops. The main objective has been to obtain a formula so that a weed detection system can be developed through binary classifications. The initial step of image processing is the detection of green plants in order to eliminate all the soil in the image, reducing information that is not necessary. Then, it has focused on the vegetation by segmentation and eliminating unwanted information through medium and morphological filters. Finally, a labeling of objects has been made in the image so that weed detection can be done using a threshold based on the area of detection. This algorithm establishes an accurate monitoring of weeds and can be implemented in automated systems for the eradication of weeds in crops, either through the use of automated sprayers for specific site or a weed-cutting mechanism. In addition, it increases the performance of operational processes in crop management, reducing the time spent searching for weeds throughout a plot of land and focusing weed removal tasks on specific sites for effective control.","PeriodicalId":360778,"journal":{"name":"International Conference on Electronics, Communications, and Computers","volume":"94 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113940293","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}
Baldomero Manuel Sanchez Rangel, M. Aceves-Fernández, J. Murillo, J. Ortega, Juan Manuel Ramos Arreguín
{"title":"KNN-based image segmentation for grapevine potassium deficiency diagnosis","authors":"Baldomero Manuel Sanchez Rangel, M. Aceves-Fernández, J. Murillo, J. Ortega, Juan Manuel Ramos Arreguín","doi":"10.1109/CONIELECOMP.2016.7438551","DOIUrl":"https://doi.org/10.1109/CONIELECOMP.2016.7438551","url":null,"abstract":"In crops management, monitoring the plants health is an important task that allows early detection of nutritional deficiencies, diseases, pests, etc. that can result on important economic losses. With early detection there are more possibilities to react on an appropriate way to control the problem and assure the quality of the final products. Molecular methods performed in laboratories are a way to confirm the visual inspections on crops but the results can take valuable time. This makes the visual inspection an important task that allows early detection. Computer vision systems are an alternative solution to many problems of daily life. Many methods based on image processing have been developed focused on early detection of diseases and nutritional deficiencies. Specialized computer vision systems can be a support on decision making to appropriate crop management. In this paper, an image processing method to diagnose and classify grapevine leaves with certain level of potassium deficiency is proposed. The proposed segmentation method based on K-Nearest Neighbors (KNN) were compared to methods based on histogram. KNN proved to have better results specially when the environment were images are acquired is less controlled.","PeriodicalId":360778,"journal":{"name":"International Conference on Electronics, Communications, and Computers","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131132409","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}
Alejandro Juarez Arellano, C. M. López, L. G. D. L. Fraga
{"title":"Design of an academic microcontroller and its application to Authenticated Encryption","authors":"Alejandro Juarez Arellano, C. M. López, L. G. D. L. Fraga","doi":"10.1109/CONIELECOMP.2014.6808581","DOIUrl":"https://doi.org/10.1109/CONIELECOMP.2014.6808581","url":null,"abstract":"In this work we present the design and implementation on FPGAs of a 16 bit microcontroller. Since this microcontroller has academic purposes, its architecture is simple, complete and open. Furthermore, its assembler language was also designed and a translator program in Python is provided. The arithmetic/logic unit designed only include integer operations, and we aggregate a carry free multiplier to make easy some computations needed in cryptographic and coding theory applications which require binary field arithmetic. To demonstrate its functionality we choose a non trivial application, the implementation of two Authenticated Encryption schemes CCM and GCM. Our design can be used in economic range FPGAs as Spartan 3 or faster range as Virtex 5 or higher.","PeriodicalId":360778,"journal":{"name":"International Conference on Electronics, Communications, and Computers","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134227388","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":"Garabato: A proposal of a sketch-based Image Retrieval system for the Web","authors":"A. Bada, G. Hoyos-Rivera, A. Marín-Hernández","doi":"10.1109/CONIELECOMP.2014.6808588","DOIUrl":"https://doi.org/10.1109/CONIELECOMP.2014.6808588","url":null,"abstract":"A proposal for a queried-by-sketch image retrieval system is introduced as an alternative to text-based image search on the Web. The user will create a sketch as a query that will be matched with the edges extracted from natural images. The main challenge regarding edge detection for Content-based Image Retrieval consists in finding edges for larger regions and avoiding the ones corresponding to textures. For this purpose, a combination of selective smoothing and color segmentation is applied prior edge extraction. An evolutionary algorithm is deployed to optimize the image-processing parameters. Similarity between the user's sketch and the image's edges will be measured regarding two local aspects: spatial proximity and edge orientation. A full architecture for image search on the Web is proposed and preliminary results are reported using a trial database.","PeriodicalId":360778,"journal":{"name":"International Conference on Electronics, Communications, and Computers","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129054593","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}
C. Bazan, R. Reyes-Reyes, César Enrique Rojas-López, R. Vázquez-Medina
{"title":"GEARC: Application to generation and analysis of chaotic noise","authors":"C. Bazan, R. Reyes-Reyes, César Enrique Rojas-López, R. Vázquez-Medina","doi":"10.1109/CONIELECOMP.2012.6189932","DOIUrl":"https://doi.org/10.1109/CONIELECOMP.2012.6189932","url":null,"abstract":"This article shows the first version of GEARC software to analyze and generate noise by one-dimensional chaotic maps (1-D chaotic maps). This software has been called the GEARC due to its initials in Spanish, and it has designed with a graphical user interface (GUI) developed under the API (Application Programming Interface) swing of Java™ programming language. On the other hand, the graphs that can be generated in GEARC software are built by jfreechart API [1], which is a free distribution tool. In GEARC software statistical mechanics have been incorporated to make the analysis of different 1-D chaotic maps.","PeriodicalId":360778,"journal":{"name":"International Conference on Electronics, Communications, and Computers","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121054833","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. Trujillo-Romero, Gabriel Rojas Villanueva, Ivor Acevedo Bautista
{"title":"Robotic system for reactive navigation in dynamic environments","authors":"F. Trujillo-Romero, Gabriel Rojas Villanueva, Ivor Acevedo Bautista","doi":"10.1109/CONIELECOMP.2011.5749381","DOIUrl":"https://doi.org/10.1109/CONIELECOMP.2011.5749381","url":null,"abstract":"We introduce a mobile robotic system able to learn through reinforcement, which allows it to navigate within a dynamic environment (e.g. a room) avoiding any obstacle it might encounter. The robotic system must be able to locate and reach an established pattern, which has been previously learned. The learning system is implemented with two neural networks. Both neural networks use reinforcement learning by means of the Hebb rule. The mobile robot is implemented using a Lego Mindstorm NXT 1.0, with a design of twin-engine vehicle, 2 ultrasonic sensors, a touch sensor and a webcam. The system was programmed in C++ and uses a Bluetooth device to communicate the robot with the computer.","PeriodicalId":360778,"journal":{"name":"International Conference on Electronics, Communications, and Computers","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124482786","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":"Structure optimization of metamodels to improve speech recognition accuracy","authors":"Santiago Omar Caballero Morales","doi":"10.1109/CONIELECOMP.2011.5749348","DOIUrl":"https://doi.org/10.1109/CONIELECOMP.2011.5749348","url":null,"abstract":"The metamodels is a technique that was developed to model a speaker's phoneme confusion-matrix and use this information to increase speech recognition accuracy for speakers with disordered and normal speech. Approaches to improve the performance of the metamodels, mainly focused on obtaining better estimates of the speaker's confusion-matrix, were studied. While some achieved significant improvements, alternatives to the functional structure of the metamodels were not explored. In this paper is proposed a different structure for the metamodel of a phoneme and its optimization by means of a genetic algorithm. Results showed statistically significant gains in speech recognition accuracy over the previous metamodels.","PeriodicalId":360778,"journal":{"name":"International Conference on Electronics, Communications, and Computers","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130853104","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}
Antonio Garibay Espinosa, Arturo Castellanos García, C. Aguirre
{"title":"Design and construction of a composter for domestic use","authors":"Antonio Garibay Espinosa, Arturo Castellanos García, C. Aguirre","doi":"10.1109/CONIELECOMP.2011.5749343","DOIUrl":"https://doi.org/10.1109/CONIELECOMP.2011.5749343","url":null,"abstract":"The present work consists in the aspects considered necessary to “Design and to build a composter for domestic use”, this mechatronics system has the purpose of producing compost the automatic form controlling different aspects of this biological process, the main purpose of this paper is to introduce a new design of prototype of automatic composter, the today ones are very expensive to be acquired, one of the important features of this system is that it has a sustainable supply which is performed by through photocell.","PeriodicalId":360778,"journal":{"name":"International Conference on Electronics, Communications, and Computers","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122285759","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}