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Juan Ivan Nieto Hipolito
Facultad de Ingeniería Arquitectura y Diseño, Universidad Autónoma de Baja California, Carretera Transpeninsular Ensenada-Tijuana #3917, Playitas, Ensenada 22860, Mexico

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Short Biography

Juan Iván Nieto-Hipólito (IEEE Member) received his M.Sc. degree from the CICESE Research Centre in 1994 (Mexico). He received a Ph.D. from the Computer Architecture Department at the Polytechnic University of Catalonia (UPC, Spain) in 2005. Since August 1994, he has been a full professor at the Autonomous University of Baja California (UABC, Mexico), he was the leader of the Telematics Research Group from 2007 to 2012. From 2011 to 2019, he was also director of the Faculty of Engineering, Architecture, and Design. His research interests include the applications of ICT, and mainly wireless, MAC, routing, and instrumentation for e-health.

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Journal article
Published: 23 July 2021 in Diagnostics
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The objective of this work is to perform image quality assessment (IQA) of eye fundus images in the context of digital fundoscopy with topological data analysis (TDA) and machine learning methods. Eye health remains inaccessible for a large amount of the global population. Digital tools that automize the eye exam could be used to address this issue. IQA is a fundamental step in digital fundoscopy for clinical applications; it is one of the first steps in the preprocessing stages of computer-aided diagnosis (CAD) systems using eye fundus images. Images from the EyePACS dataset were used, and quality labels from previous works in the literature were selected. Cubical complexes were used to represent the images; the grayscale version was, then, used to calculate a persistent homology on the simplex and represented with persistence diagrams. Then, 30 vectorized topological descriptors were calculated from each image and used as input to a classification algorithm. Six different algorithms were tested for this study (SVM, decision tree, k-NN, random forest, logistic regression (LoGit), MLP). LoGit was selected and used for the classification of all images, given the low computational cost it carries. Performance results on the validation subset showed a global accuracy of 0.932, precision of 0.912 for label “quality” and 0.952 for label “no quality”, recall of 0.932 for label “quality” and 0.912 for label “no quality”, AUC of 0.980, F1 score of 0.932, and a Matthews correlation coefficient of 0.864. This work offers evidence for the use of topological methods for the process of quality assessment of eye fundus images, where a relatively small vector of characteristics (30 in this case) can enclose enough information for an algorithm to yield classification results useful in the clinical settings of a digital fundoscopy pipeline for CAD.

ACS Style

Gener Avilés-Rodríguez; Juan Nieto-Hipólito; María Cosío-León; Gerardo Romo-Cárdenas; Juan Sánchez-López; Patricia Radilla-Chávez; Mabel Vázquez-Briseño. Topological Data Analysis for Eye Fundus Image Quality Assessment. Diagnostics 2021, 11, 1322 .

AMA Style

Gener Avilés-Rodríguez, Juan Nieto-Hipólito, María Cosío-León, Gerardo Romo-Cárdenas, Juan Sánchez-López, Patricia Radilla-Chávez, Mabel Vázquez-Briseño. Topological Data Analysis for Eye Fundus Image Quality Assessment. Diagnostics. 2021; 11 (8):1322.

Chicago/Turabian Style

Gener Avilés-Rodríguez; Juan Nieto-Hipólito; María Cosío-León; Gerardo Romo-Cárdenas; Juan Sánchez-López; Patricia Radilla-Chávez; Mabel Vázquez-Briseño. 2021. "Topological Data Analysis for Eye Fundus Image Quality Assessment." Diagnostics 11, no. 8: 1322.

Journal article
Published: 27 May 2021 in Applied Sciences
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The classification of services in 5G/B5G (Beyond 5G) networks has become important for telecommunications service providers, who face the challenge of simultaneously offering a better Quality of Service (QoS) in their networks and a better Quality of Experience (QoE) to users. Service classification allows 5G service providers to accurately select the network slices for each service, thereby improving the QoS of the network and the QoE perceived by users, and ensuring compliance with the Service Level Agreement (SLA). Some projects have developed systems for classifying these services based on the Key Performance Indicators (KPIs) that characterize the different services. However, Key Quality Indicators (KQIs) are also significant in 5G networks, although these are generally not considered. We propose a service classifier that uses a Machine Learning (ML) approach based on Supervised Learning (SL) to improve classification and to support a better distribution of resources and traffic over 5G/B5G based networks. We carry out simulations of our proposed scheme using different SL algorithms, first with KPIs alone and then incorporating KQIs and show that the latter achieves better prediction, with an accuracy of 97% and a Matthews correlation coefficient of 96.6% with a Random Forest classifier.

ACS Style

Jorge Preciado-Velasco; Joan Gonzalez-Franco; Caridad Anias-Calderon; Juan Nieto-Hipolito; Raul Rivera-Rodriguez. 5G/B5G Service Classification Using Supervised Learning. Applied Sciences 2021, 11, 4942 .

AMA Style

Jorge Preciado-Velasco, Joan Gonzalez-Franco, Caridad Anias-Calderon, Juan Nieto-Hipolito, Raul Rivera-Rodriguez. 5G/B5G Service Classification Using Supervised Learning. Applied Sciences. 2021; 11 (11):4942.

Chicago/Turabian Style

Jorge Preciado-Velasco; Joan Gonzalez-Franco; Caridad Anias-Calderon; Juan Nieto-Hipolito; Raul Rivera-Rodriguez. 2021. "5G/B5G Service Classification Using Supervised Learning." Applied Sciences 11, no. 11: 4942.

Journal article
Published: 10 April 2021 in Sensors
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With constantly increasing demand in connected society Internet of Things (IoT) network is frequently becoming congested. IoT sensor devices lose more power while transmitting data through congested IoT networks. Currently, in most scenarios, the distributed IoT devices in use have no effective spectrum based power management, and have no guarantee of a long term battery life while transmitting data through congested IoT networks. This puts user information at risk, which could lead to loss of important information in communication. In this paper, we studied the extra power consumed due to retransmission of IoT data packet and bad communication channel management in a congested IoT network. We propose a spectrum based power management solution that scans channel conditions when needed and utilizes the lowest congested channel for IoT packet routing. It also effectively measured power consumed in idle, connected, paging and synchronization status of a standard IoT device in a congested IoT network. In our proposed solution, a Freescale Freedom Development Board (FREDEVPLA) is used for managing channel related parameters. While supervising the congestion level and coordinating channel allocation at the FREDEVPLA level, our system configures MAC and Physical layer of IoT devices such that it provides the outstanding power utilization based on the operating network in connected mode compared to the basic IoT standard. A model has been set up and tested using freescale launchpads. Test data show that battery life of IoT devices using proposed spectrum based power management increases by at least 30% more than non-spectrum based power management methods embedded within IoT devices itself. Finally, we compared our results with the basic IoT standard, IEEE802.15.4. Furthermore, the proposed system saves lot of memory for IoT devices, improves overall IoT network performance, and above all, decrease the risk of losing data packets in communication. The detail analysis in this paper also opens up multiple avenues for further research in future use of channel scanning by FREDEVPLA board.

ACS Style

Kedir Besher; Juan Nieto-Hipolito; Raymundo Buenrostro-Mariscal; Mohammed Ali. Spectrum Based Power Management for Congested IoT Networks. Sensors 2021, 21, 2681 .

AMA Style

Kedir Besher, Juan Nieto-Hipolito, Raymundo Buenrostro-Mariscal, Mohammed Ali. Spectrum Based Power Management for Congested IoT Networks. Sensors. 2021; 21 (8):2681.

Chicago/Turabian Style

Kedir Besher; Juan Nieto-Hipolito; Raymundo Buenrostro-Mariscal; Mohammed Ali. 2021. "Spectrum Based Power Management for Congested IoT Networks." Sensors 21, no. 8: 2681.

Journal article
Published: 05 January 2021 in Measurement
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In this work, the integration of various elements was realized. This allowed the development of a measurement system for quantitative determination of the electrical response of the faujasite-modified QCM, which was caused by a change in mass during the adsorption and desorption processes. The nanostructured faujasite film was grown on the QCM surface, and water was used as a ”model molecule” to test the ability of a measurement system to determine the change in mass associated with adsorption and desorption. It was shown that the sensitivity of the system is equal to 17 ng/Hz. The obtained sensitivity is sufficient to observe not only the adsorption and desorption process but even climate changes in the surrounding atmosphere.

ACS Style

Fabian N. Murrieta-Rico; Vitalii Petranovskii; Oleg Sergiyenko; Maxim Grishin; Sergey Sarvadii; Juan De Dios Sanchez-Lopez; Juan I. Nieto-Hipolito; Donald H. Galván; Joel Antúnez-García; Rosario I. Yocupicio-Gaxiola. QCM modified with FAU zeolite nanostructures for analysis of temperature induced adsorbed mass changes. Measurement 2021, 172, 108935 .

AMA Style

Fabian N. Murrieta-Rico, Vitalii Petranovskii, Oleg Sergiyenko, Maxim Grishin, Sergey Sarvadii, Juan De Dios Sanchez-Lopez, Juan I. Nieto-Hipolito, Donald H. Galván, Joel Antúnez-García, Rosario I. Yocupicio-Gaxiola. QCM modified with FAU zeolite nanostructures for analysis of temperature induced adsorbed mass changes. Measurement. 2021; 172 ():108935.

Chicago/Turabian Style

Fabian N. Murrieta-Rico; Vitalii Petranovskii; Oleg Sergiyenko; Maxim Grishin; Sergey Sarvadii; Juan De Dios Sanchez-Lopez; Juan I. Nieto-Hipolito; Donald H. Galván; Joel Antúnez-García; Rosario I. Yocupicio-Gaxiola. 2021. "QCM modified with FAU zeolite nanostructures for analysis of temperature induced adsorbed mass changes." Measurement 172, no. : 108935.

Conference paper
Published: 01 January 2021 in Proceedings of the Institute for System Programming of the RAS
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Scientific applications require to process, analyze and transfer large volumes of data in the shortest possible time from distributed data sources. In order to improve their performance, it is necessary to provide them with specific QoS parameters. On the other hand, SDN is presented as a new paradigm of communications networks that facilitates the management of the communications infrastructure and consequently allows to dynamically incorporate QoS parameters to the applications running in this type of network. With both these paradigms in mind, we conducted this research to answer the following questions: Do scientific applications that are running in an SDN-Enabled distributed data centers improve their performance? Do they consider network QoS parameters for job scheduling? The methodology used was to consult articles in specialized databases containing the keywords SDN and for scientific applications: HPC and Big Data. Then, we analyzed the articles where these keywords intersect with some of the parameters related to QoS in communications networks. Also, we reviewed QoS proposals in SDN to identify the advances in this research area. The results of this paper are: i) QoS is an open issue to incorporate in scientific applications that are running in an SDN ii) we identified the challenges to join both these paradigms, and iii) we present a strategy to provide QoS to scientific applications that are being executed among SDN-Enabled distributed data centers.

ACS Style

Jose Eleno Lozano-Rizk; Raul Rivera-Rodriguez; Juan Iván Nieto-Hipólito; Сальвадор Вилларреаль-Рейс; Alejandro Galaviz-Mosqueda; Mabel Vazquez-Briseno. Quality of Service in Software Defined Networks for Scientific Applications: Opportunities and Challenges. Proceedings of the Institute for System Programming of the RAS 2021, 33, 111 -122.

AMA Style

Jose Eleno Lozano-Rizk, Raul Rivera-Rodriguez, Juan Iván Nieto-Hipólito, Сальвадор Вилларреаль-Рейс, Alejandro Galaviz-Mosqueda, Mabel Vazquez-Briseno. Quality of Service in Software Defined Networks for Scientific Applications: Opportunities and Challenges. Proceedings of the Institute for System Programming of the RAS. 2021; 33 (1):111-122.

Chicago/Turabian Style

Jose Eleno Lozano-Rizk; Raul Rivera-Rodriguez; Juan Iván Nieto-Hipólito; Сальвадор Вилларреаль-Рейс; Alejandro Galaviz-Mosqueda; Mabel Vazquez-Briseno. 2021. "Quality of Service in Software Defined Networks for Scientific Applications: Opportunities and Challenges." Proceedings of the Institute for System Programming of the RAS 33, no. 1: 111-122.

Originalpaper
Published: 22 December 2020 in Programming and Computer Software
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Scientific applications requires to process, analyze and transfer large volumes of data in the shortest possible time from distributed data sources. In order to improve their performance, it is necessary to provide them with specific QoS parameters. On the other hand, SDN is presented as a new paradigm of communications networks that facilitates the management of the communications infrastructure and consequently allows to dynamically incorporate QoS parameters to the applications running in this type of network. With both these paradigms in mind, we conducted this research to answer the following questions: Do scientific applications that are running in an SDN-Enabled distributed data centers improve their performance? Do they consider network QoS parameters for job scheduling? The methodology used was to consult articles in specialized databases containing the keywords SDN and for scientific applications: HPC and Big Data. Then, we analyzed the articles where these keywords intersect with some of the parameters related to QoS in communications networks. Also, we reviewed QoS proposals in SDN to identify the advances in this research area. The results of this paper are: i) QoS is an open issue to incorporate in scientific applications that are running in an SDN ii) we identified the challenges to join both these paradigms, and iii) we present a strategy to provide QoS to scientific applications that are being executed among SDN-Enabled distributed data centers.

ACS Style

J. E. Lozano-Rizk; R. Rivera-Rodriguez; J. I. Nieto-Hipolito; S. Villarreal-Reyes; A. Galaviz-Mosqueda; M. Vazquez-Briseno. Quality of Service in Software Defined Networks for Scientific Applications: Opportunities and Challenges. Programming and Computer Software 2020, 46, 561 -568.

AMA Style

J. E. Lozano-Rizk, R. Rivera-Rodriguez, J. I. Nieto-Hipolito, S. Villarreal-Reyes, A. Galaviz-Mosqueda, M. Vazquez-Briseno. Quality of Service in Software Defined Networks for Scientific Applications: Opportunities and Challenges. Programming and Computer Software. 2020; 46 (8):561-568.

Chicago/Turabian Style

J. E. Lozano-Rizk; R. Rivera-Rodriguez; J. I. Nieto-Hipolito; S. Villarreal-Reyes; A. Galaviz-Mosqueda; M. Vazquez-Briseno. 2020. "Quality of Service in Software Defined Networks for Scientific Applications: Opportunities and Challenges." Programming and Computer Software 46, no. 8: 561-568.

Journal article
Published: 28 October 2020 in Applied Sciences
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When Internet of Things (IoT) big data analytics (BDA) require to transfer data streams among software defined network (SDN)-based distributed data centers, the data flow forwarding in the communication network is typically done by an SDN controller using a traditional shortest path algorithm or just considering bandwidth requirements by the applications. In BDA, this scheme could affect their performance resulting in a longer job completion time because additional metrics were not considered, such as end-to-end delay, jitter, and packet loss rate in the data transfer path. These metrics are quality of service (QoS) parameters in the communication network. This research proposes a solution called QoSComm, an SDN strategy to allocate QoS-based data flows for BDA running across distributed data centers to minimize their job completion time. QoSComm operates in two phases: (i) based on the current communication network conditions, it calculates the feasible paths for each data center using a multi-objective optimization method; (ii) it distributes the resultant paths among data centers configuring their openflow Switches (OFS) dynamically. Simulation results show that QoSComm can improve BDA job completion time by an average of 18%.

ACS Style

Jose E. Lozano-Rizk; Juan I. Nieto-Hipolito; Raul Rivera-Rodriguez; Maria A. Cosio-Leon; Mabel Vazquez-Briseño; Juan C. Chimal-Eguia. QoSComm: A Data Flow Allocation Strategy among SDN-Based Data Centers for IoT Big Data Analytics. Applied Sciences 2020, 10, 7586 .

AMA Style

Jose E. Lozano-Rizk, Juan I. Nieto-Hipolito, Raul Rivera-Rodriguez, Maria A. Cosio-Leon, Mabel Vazquez-Briseño, Juan C. Chimal-Eguia. QoSComm: A Data Flow Allocation Strategy among SDN-Based Data Centers for IoT Big Data Analytics. Applied Sciences. 2020; 10 (21):7586.

Chicago/Turabian Style

Jose E. Lozano-Rizk; Juan I. Nieto-Hipolito; Raul Rivera-Rodriguez; Maria A. Cosio-Leon; Mabel Vazquez-Briseño; Juan C. Chimal-Eguia. 2020. "QoSComm: A Data Flow Allocation Strategy among SDN-Based Data Centers for IoT Big Data Analytics." Applied Sciences 10, no. 21: 7586.

Chapter
Published: 01 January 2020 in Genetic Algorithms and Applications for Stock Trading Optimization
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Positioning technologies are useful in a great number of applications, which are oriented for pick and place robots, manipulation of machine tools, especially on machines oriented for artificial vision and detection systems, such as vision-guided robotic systems and object existence in a limited environment. Due to the high demand of those applications, this chapter presents digital control theory application using a laser positioner, which obtains 3D coordinates in a defined field of view. Using the LM629N-8 motion controller, representing the main digital controller for the motion task of the laser positioner as an active element, which is analyzed via modeling and simulation using Matlab-Simulink. Additionally, this chapter focuses on some of the principal sources of uncertainties that exist in a laser scanning system and mainly on the receptive part of such system, which is driven by a brushed DC motor. The processed signal will be analyzed in different environmental conditions to analyze how it is affected by the instability characteristics of this main actuator.

ACS Style

Miguel Reyes-Garcia; Cesar Sepulveda-Valdez; Oleg Sergiyenko; Moisés Rivas-López; Julio Cesar Rodríguez-Quiñonez; Wendy Flores-Fuentes; Daniel Hernandez-Balbuena; Juan Ivan Nieto Hipolito; Fabian N. Murrieta-Rico; Lars Lindner; Mykhailo Ivanov. Digital Control Theory Application and Signal Processing in a Laser Scanning System Applied for Mobile Robotics. Genetic Algorithms and Applications for Stock Trading Optimization 2020, 215 -265.

AMA Style

Miguel Reyes-Garcia, Cesar Sepulveda-Valdez, Oleg Sergiyenko, Moisés Rivas-López, Julio Cesar Rodríguez-Quiñonez, Wendy Flores-Fuentes, Daniel Hernandez-Balbuena, Juan Ivan Nieto Hipolito, Fabian N. Murrieta-Rico, Lars Lindner, Mykhailo Ivanov. Digital Control Theory Application and Signal Processing in a Laser Scanning System Applied for Mobile Robotics. Genetic Algorithms and Applications for Stock Trading Optimization. 2020; ():215-265.

Chicago/Turabian Style

Miguel Reyes-Garcia; Cesar Sepulveda-Valdez; Oleg Sergiyenko; Moisés Rivas-López; Julio Cesar Rodríguez-Quiñonez; Wendy Flores-Fuentes; Daniel Hernandez-Balbuena; Juan Ivan Nieto Hipolito; Fabian N. Murrieta-Rico; Lars Lindner; Mykhailo Ivanov. 2020. "Digital Control Theory Application and Signal Processing in a Laser Scanning System Applied for Mobile Robotics." Genetic Algorithms and Applications for Stock Trading Optimization , no. : 215-265.

Chapter
Published: 01 January 2020 in Genetic Algorithms and Applications for Stock Trading Optimization
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In most aerial vehicles, accurate information about critical parameters like position, velocity, and altitude is critical. In these systems, such information is acquired through an inertial measurement unit. Parameters like acceleration, velocity, and position are obtained after processing data from sensors; some of them are the accelerometers. In this case, the signal generated by the accelerometer has a frequency that depends from the acceleration experienced by the sensor. Since the time available for frequency estimation is critical in an aerial device, the frequency measurement algorithm is critical. This chapter proposes the principle of rational approximations for measuring the frequency from accelerometer-generated signals. In addition, the effect of different measurement parameters is shown, discussed, and evaluated.

ACS Style

Fabian N. Murrieta-Rico; Vitalii Petranovskii; Juan De Dios Sanchez-Lopez; Juan Ivan Nieto Hipolito; Mabel Vazquez-Briseño; Joel Antúnez-García; Rosario I. Yocupicio-Gaxiola; Vera Tyrsa. Application of the Principle of Rational Approximations for Measuring Dynamic Frequency Values Generated by an IMU. Genetic Algorithms and Applications for Stock Trading Optimization 2020, 26 -51.

AMA Style

Fabian N. Murrieta-Rico, Vitalii Petranovskii, Juan De Dios Sanchez-Lopez, Juan Ivan Nieto Hipolito, Mabel Vazquez-Briseño, Joel Antúnez-García, Rosario I. Yocupicio-Gaxiola, Vera Tyrsa. Application of the Principle of Rational Approximations for Measuring Dynamic Frequency Values Generated by an IMU. Genetic Algorithms and Applications for Stock Trading Optimization. 2020; ():26-51.

Chicago/Turabian Style

Fabian N. Murrieta-Rico; Vitalii Petranovskii; Juan De Dios Sanchez-Lopez; Juan Ivan Nieto Hipolito; Mabel Vazquez-Briseño; Joel Antúnez-García; Rosario I. Yocupicio-Gaxiola; Vera Tyrsa. 2020. "Application of the Principle of Rational Approximations for Measuring Dynamic Frequency Values Generated by an IMU." Genetic Algorithms and Applications for Stock Trading Optimization , no. : 26-51.

Conference paper
Published: 22 December 2019 in Communications in Computer and Information Science
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In recent years, traditional data centers have been used to host high-performance computing infrastructure, such as HPC clusters, addressing specific requirements for different research and scientific projects. Computes, storage, network, and security infrastructure is usually from heterogenous manufacturers and has multiple management interfaces. This process implies a higher demand on data center administrators to manually attend the problems or particular configurations that require each of the HPC applications, which can affect its performance, together with the fact that it can present a poor resource allocation on Data Center. Software-Defined Data Centers (SDDC) have emerged as a solution for automating the management and self-provisioning of computing, storage, network, and security resources dynamically according to the software-defined policies for each of the applications running in the SDDC. With these paradigms in mind, this work aims to answer whether HPC applications can benefit in their performance using the advantages that SDDC offers to other applications such as business or enterprise. The results of this article are (i) we identify SDDC main components. (ii) we present an experimental approach to use SDDC network component for High-Performance MPI-based applications.

ACS Style

J. E. Lozano-Rizk; Juan Ivan Nieto Hipolito; R. Rivera-Rodriguez; María De Los Ángeles Cosío León; M. Vazquez-Briseno; J. C. Chimal-Eguia; V. Rico-Rodriguez; E. Martinez-Martinez. Software Defined Data Center for High Performance Computing Applications. Communications in Computer and Information Science 2019, 27 -41.

AMA Style

J. E. Lozano-Rizk, Juan Ivan Nieto Hipolito, R. Rivera-Rodriguez, María De Los Ángeles Cosío León, M. Vazquez-Briseno, J. C. Chimal-Eguia, V. Rico-Rodriguez, E. Martinez-Martinez. Software Defined Data Center for High Performance Computing Applications. Communications in Computer and Information Science. 2019; ():27-41.

Chicago/Turabian Style

J. E. Lozano-Rizk; Juan Ivan Nieto Hipolito; R. Rivera-Rodriguez; María De Los Ángeles Cosío León; M. Vazquez-Briseno; J. C. Chimal-Eguia; V. Rico-Rodriguez; E. Martinez-Martinez. 2019. "Software Defined Data Center for High Performance Computing Applications." Communications in Computer and Information Science , no. : 27-41.

Journal article
Published: 01 December 2019 in Programming and Computer Software
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Nowadays artificial intelligence and swarm robotics become wide spread and take their approach in civil tasks. The main purpose of the article is to show the influence of common knowledge about surroundings sharing in the robotic group navigation problem by implementing the data transferring within the group. Methodology provided in article reviews a set of tasks implementation of which improves the results of robotic group navigation. The main questions for the research are the problems of robotics vision, path planning, data storing and data exchange. Article describes the structure of real-time laser technical vision system as the main environment-sensing tool for robots. The vision system uses dynamic triangulation principle. Article provides examples of obtained data, distance-based methods for resolution and speed control. According to the data obtained by provided vision system were decided to use matrix-based approach for robots path planning, it inflows the tasks of surroundings discretization, and trajectory approximation. Two network structure types for data transferring are compared. Authors are proposing a methodology for dynamic network forming based on leader changing system. For the confirmation of theory were developed an application of robotic group modeling. Obtained results show that common knowledge sharing between robots in-group can significantly decrease individual trajectories length.

ACS Style

M. Ivanov; O. Sergiyenko; V. Tyrsa; L. Lindner; J. C. Rodriguez-Quiñonez; W. Flores-Fuentes; M. Rivas-Lopez; D. Hernández-Balbuena; J. I. Nieto Hipólito. Software Advances using n-agents Wireless Communication Integration for Optimization of Surrounding Recognition and Robotic Group Dead Reckoning. Programming and Computer Software 2019, 45, 557 -569.

AMA Style

M. Ivanov, O. Sergiyenko, V. Tyrsa, L. Lindner, J. C. Rodriguez-Quiñonez, W. Flores-Fuentes, M. Rivas-Lopez, D. Hernández-Balbuena, J. I. Nieto Hipólito. Software Advances using n-agents Wireless Communication Integration for Optimization of Surrounding Recognition and Robotic Group Dead Reckoning. Programming and Computer Software. 2019; 45 (8):557-569.

Chicago/Turabian Style

M. Ivanov; O. Sergiyenko; V. Tyrsa; L. Lindner; J. C. Rodriguez-Quiñonez; W. Flores-Fuentes; M. Rivas-Lopez; D. Hernández-Balbuena; J. I. Nieto Hipólito. 2019. "Software Advances using n-agents Wireless Communication Integration for Optimization of Surrounding Recognition and Robotic Group Dead Reckoning." Programming and Computer Software 45, no. 8: 557-569.

Research article
Published: 01 July 2019 in International Journal of Advanced Robotic Systems
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The use of sensors is a primary need in robotic systems. There are sensors that generate a signal whose frequency depends on input stimulus. The application of such sensors is desirable due to their short response time, accuracy, and resolution. For proper use of these sensors, adequate frequency measurement is required. The principle of rational approximations is a method for frequency estimation that has advantages over other measurement methods. Some of them include not a fixed sampling time, insensitivity to jitter, and accuracy limited by the reference stability. Nevertheless, there are some measurement parameters with a not well-researched effect in measurement process. The objective of this work is to elucidate how the phase of input signals (measurand and reference) affects the frequency measurement process.

ACS Style

Juan De Dios Sanchez Lopez; Fabian N Murrieta-Rico; Vitalii Petranovskii; Joel Antúnez-García; Rosario I Yocupicio-Gaxiola; Oleg Sergiyenko; Vera Tyrsa; Juan Ivan Nieto Hipolito; Mabel Vazquez-Briseño. Effect of phase in fast frequency measurements for sensors embedded in robotic systems. International Journal of Advanced Robotic Systems 2019, 16, 1 .

AMA Style

Juan De Dios Sanchez Lopez, Fabian N Murrieta-Rico, Vitalii Petranovskii, Joel Antúnez-García, Rosario I Yocupicio-Gaxiola, Oleg Sergiyenko, Vera Tyrsa, Juan Ivan Nieto Hipolito, Mabel Vazquez-Briseño. Effect of phase in fast frequency measurements for sensors embedded in robotic systems. International Journal of Advanced Robotic Systems. 2019; 16 (4):1.

Chicago/Turabian Style

Juan De Dios Sanchez Lopez; Fabian N Murrieta-Rico; Vitalii Petranovskii; Joel Antúnez-García; Rosario I Yocupicio-Gaxiola; Oleg Sergiyenko; Vera Tyrsa; Juan Ivan Nieto Hipolito; Mabel Vazquez-Briseño. 2019. "Effect of phase in fast frequency measurements for sensors embedded in robotic systems." International Journal of Advanced Robotic Systems 16, no. 4: 1.

Proceedings article
Published: 01 June 2019 in 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE)
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Inertial Navigation Systems (INS) are essential systems in flying machines. Such systems have as core component an Inertial Measurement Unit (IMU), where there are two principal kind of sensors: gyroscopes and accelerometers. The last ones generate an electrical signal with a frequency that depends of the acceleration experienced by the sensor. In this case, if such a frequency is properly quantified, the magnitude of the acceleration can be calculated. Therefore, due the characteristics in the movement of an aircraft, the response time of the IMU is critical. For this reason is of interest, in the case of the accelerometer, to obtain the best approximations to the generated frequency in the shortest possible time. In previous works such a task has been reported. But in these cases, it was only considered one-dimensional case. In this work, a theoretical study shows preliminary results in the simultaneous measurement of three signals generated by a 3-axis accelerometer.

ACS Style

Fabian N. Murrieta-Rico; Vitalii Petranovskii; Juan De Dios Sanchez Lopez; Juan Ivan Nieto Hipolito; Mabel Vazquez-Briseno; Oleg Sergiyenko; Daniel Hernández-Balbuena; Oleg Zabula. Analysis of Spatial Localization Trough Frequency Counting for Accelerometers Embedded in INS. 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE) 2019, 1461 -1466.

AMA Style

Fabian N. Murrieta-Rico, Vitalii Petranovskii, Juan De Dios Sanchez Lopez, Juan Ivan Nieto Hipolito, Mabel Vazquez-Briseno, Oleg Sergiyenko, Daniel Hernández-Balbuena, Oleg Zabula. Analysis of Spatial Localization Trough Frequency Counting for Accelerometers Embedded in INS. 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE). 2019; ():1461-1466.

Chicago/Turabian Style

Fabian N. Murrieta-Rico; Vitalii Petranovskii; Juan De Dios Sanchez Lopez; Juan Ivan Nieto Hipolito; Mabel Vazquez-Briseno; Oleg Sergiyenko; Daniel Hernández-Balbuena; Oleg Zabula. 2019. "Analysis of Spatial Localization Trough Frequency Counting for Accelerometers Embedded in INS." 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE) , no. : 1461-1466.

Proceedings article
Published: 01 June 2019 in 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE)
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In this paper we presented the new algorithm for pixelization of astronomical data in celestial sphere. This algorithm is used for partition and analysis of the large astronomical catalogues that contain data of up to billion objects. The proposed algorithm for pixelization can be applied for indexing of the objects positions in the celestial sphere. This allows the quick search in the large astronomical databases. The search results of indexed objects can be used by different consumers such as robotic telescopes, ground and flying robots that need to guidance, navigate and even to track the situation in celestial sphere. The problems of sphere partition to pixels by different methods are also described in the paper.

ACS Style

Volodymyr Akhmetov; Sergii Khlamov; Iryna Tabakova; Wilmar Hernandez; Juan Ivan Nieto Hipolito; Peter Fedorov. New approach for pixelization of big astronomical data for machine vision purpose. 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE) 2019, 1706 -1710.

AMA Style

Volodymyr Akhmetov, Sergii Khlamov, Iryna Tabakova, Wilmar Hernandez, Juan Ivan Nieto Hipolito, Peter Fedorov. New approach for pixelization of big astronomical data for machine vision purpose. 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE). 2019; ():1706-1710.

Chicago/Turabian Style

Volodymyr Akhmetov; Sergii Khlamov; Iryna Tabakova; Wilmar Hernandez; Juan Ivan Nieto Hipolito; Peter Fedorov. 2019. "New approach for pixelization of big astronomical data for machine vision purpose." 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE) , no. : 1706-1710.

Research article
Published: 24 March 2019 in Wireless Communications and Mobile Computing
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After an introduction of cognitive radio (CR) technology in communication, the hot research topics are sensing, Primary User Interference (PUI), spectrum management, security, spectrum sharing, and environmental sensing. Among the listed, sensing and Primary User Interference are the bold ones. The base query for these two problems lays finding a means for which and what channel at a particular time is available and avoiding interference with Primary Users (PU). This article presents a novel cognitive radio algorithm called SenPUI for both mentioned main challenges, sensing and PUI. First, energy scan during the inactive portion of communication which is dynamic is done. Second, application packet based primary user identification for PUI avoidance is proposed as base solution. Both techniques described in this work are implemented and resulted in a significant reduction of the target problems estimated around 10-30% reduction in average. Main limitations of Wireless Sensor Network (WSN) such as memory, battery lifetime, and size are considered during the design and implementation of our solutions.

ACS Style

Kedir Mamo Besher; Juan-Ivan Nieto-Hipolito; Mabel Vazquez Briseno; Raymundo Buenrostro Mariscal. SenPUI: Solutions for Sensing and Primary User Interference in Cognitive Radio Implementation of a Wireless Sensor Network. Wireless Communications and Mobile Computing 2019, 2019, 1 -8.

AMA Style

Kedir Mamo Besher, Juan-Ivan Nieto-Hipolito, Mabel Vazquez Briseno, Raymundo Buenrostro Mariscal. SenPUI: Solutions for Sensing and Primary User Interference in Cognitive Radio Implementation of a Wireless Sensor Network. Wireless Communications and Mobile Computing. 2019; 2019 ():1-8.

Chicago/Turabian Style

Kedir Mamo Besher; Juan-Ivan Nieto-Hipolito; Mabel Vazquez Briseno; Raymundo Buenrostro Mariscal. 2019. "SenPUI: Solutions for Sensing and Primary User Interference in Cognitive Radio Implementation of a Wireless Sensor Network." Wireless Communications and Mobile Computing 2019, no. : 1-8.

Micro article
Published: 04 March 2019 in Results in Physics
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An important challenge to be addressed in the search for an optically based, non-invasive blood glucose quantification method, is related to the spectral interference between glucose and insulin in the mid-infrared region. This work proposes the use of a factorial experimental design in order to understand the optical overlapping of these compounds. The results show how in the 1100-950cm-1 range, glucose has a greater contribution than insulin to the absorption spectrum, without a significant effect from their interaction. These results and the use of the proposed technique could bring in interesting insights for biomedical applications.

ACS Style

G. Romo-Cárdenas; Juan De Dios Sanchez Lopez; Priscy Luque; C.M. Gómez-Gutiérrez; Juan Ivan Nieto Hipolito; Santiago Camacho-López; Arturo Jiménez-Cruz; Carlos Gastelum-Acosta; Mabel Vazquez; C. Navarro-Cota. Application of factorial experimental design on the optical absorption from glucose–insulin samples in mid-infrared spectroscopy. Results in Physics 2019, 13, 102170 .

AMA Style

G. Romo-Cárdenas, Juan De Dios Sanchez Lopez, Priscy Luque, C.M. Gómez-Gutiérrez, Juan Ivan Nieto Hipolito, Santiago Camacho-López, Arturo Jiménez-Cruz, Carlos Gastelum-Acosta, Mabel Vazquez, C. Navarro-Cota. Application of factorial experimental design on the optical absorption from glucose–insulin samples in mid-infrared spectroscopy. Results in Physics. 2019; 13 ():102170.

Chicago/Turabian Style

G. Romo-Cárdenas; Juan De Dios Sanchez Lopez; Priscy Luque; C.M. Gómez-Gutiérrez; Juan Ivan Nieto Hipolito; Santiago Camacho-López; Arturo Jiménez-Cruz; Carlos Gastelum-Acosta; Mabel Vazquez; C. Navarro-Cota. 2019. "Application of factorial experimental design on the optical absorption from glucose–insulin samples in mid-infrared spectroscopy." Results in Physics 13, no. : 102170.

Conference paper
Published: 01 October 2018 in IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society
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In this paper the authors propose electrostatic multi-parameter measuring MEMS-transducer with shock excitation of a movable electrode. the multidimensional basis of output signals generated by a two-parameter measuring transducer under conditions of shock excitation of voltage-controlled movable MEMS-electrodes in electrostatic capacitor has been constructed. The peculiar features of a two-parameter sensor for measuring pressure and temperature are considered. Simulation of a two-parameter measuring transducer has been carried out and its calibration characteristics have been obtained.

ACS Style

Аlla Taranchuk; Sergey Pidchenko; Daniel Avalos-Gonzalez; Juan Ivan Nieto Hipolito. Two-Parameter Pressure and Temperature Measuring Transducer Based on a Voltage-Controlled MEMS-Elements. IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society 2018, 3217 -3222.

AMA Style

Аlla Taranchuk, Sergey Pidchenko, Daniel Avalos-Gonzalez, Juan Ivan Nieto Hipolito. Two-Parameter Pressure and Temperature Measuring Transducer Based on a Voltage-Controlled MEMS-Elements. IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society. 2018; ():3217-3222.

Chicago/Turabian Style

Аlla Taranchuk; Sergey Pidchenko; Daniel Avalos-Gonzalez; Juan Ivan Nieto Hipolito. 2018. "Two-Parameter Pressure and Temperature Measuring Transducer Based on a Voltage-Controlled MEMS-Elements." IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society , no. : 3217-3222.

Conference paper
Published: 01 October 2018 in IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society
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The paper addresses a non-traditional problem of pattern recognition, when information about pattern is represented in the form of a random signal taken from the output of a corresponding physical sensor. It is supposed that there exist two types of signal to recognize, namely, specified in the statistical sense signals and totally unknown signals. Such the conditions are called conditions of increased a priory uncertainty. Developing a technique to recognize specified signals in conditions of increased a priory uncertainty is the objective of this paper. Methods for selection and recognition of a statistically defined random signal are proposed for the cases when signal description is done by various probabilistic models. Additional consideration is given to peculiarities of employing these methods for solving applied problems of pattern recognition in radar, medical diagnostics and speaker identification.

ACS Style

Valeriy Bezruk; Anatolii Omelchenko; Oleksii Fedorov; Paolo Mercorelli; Juan Ivan Nieto Hipolito. Selection and Recognition of Statistically Defined Signals in Learning Systems. IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society 2018, 3211 -3216.

AMA Style

Valeriy Bezruk, Anatolii Omelchenko, Oleksii Fedorov, Paolo Mercorelli, Juan Ivan Nieto Hipolito. Selection and Recognition of Statistically Defined Signals in Learning Systems. IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society. 2018; ():3211-3216.

Chicago/Turabian Style

Valeriy Bezruk; Anatolii Omelchenko; Oleksii Fedorov; Paolo Mercorelli; Juan Ivan Nieto Hipolito. 2018. "Selection and Recognition of Statistically Defined Signals in Learning Systems." IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society , no. : 3211-3216.

Proceedings article
Published: 18 September 2018 in Infrared Sensors, Devices, and Applications VIII
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The importance of a constant blood glucose concentration monitoring in order to keep a regular control for diabetic patients, had been established from the medical approach. Several studies accept the necessity of exploring alternatives for the traditional digital glucometer, given the pain and discomfort related to this technique, which can lead to a compromised control of the disease. Numerous efforts based on the application of IR spectroscopy for non-invasive glucose quantification had been done with favorable, yet not conclusive results, given in part from the research protocols defined, which had not considered the compounds involved in the glucose regulation mechanism, it’s known that this substances have an important role from both the biochemical and optical perspective. Therefore it’s necessary to apply an interdisciplinary study based on the properties of the glucose in the human body, to understand the interaction between this substance, its surroundings and light from the mid-IR region. From our results, the window of interest for blood glucose is in the spectral range of 1150-950cm-1. This study proposes a comprehensive approach of glucose quantification by means of mid-IR absorption spectroscopy, considering important biochemical, physiological and optical properties, we also propose the use of chemometric tools for the analysis of the bio-optical signals. The results of this work would help to define the right parameters aiming to obtain an optical glucose quantification system and protocol.

ACS Style

Gerardo Salvador Romo-Cárdenas; Juan De Dios Sánchez-López; María De Los Ángeles Cosío León; Priscy Luque; Claudia M. Gómez-Gutierrez; Juan Ivan Nieto Hipolito; Arturo Jiménez-Cruz; Santiago Camacho-Lopez; Mabel Vázquez Briseño. Study on mid-IR spectroscopy on whole blood samples for human glucose quantification applications. Infrared Sensors, Devices, and Applications VIII 2018, 10766, 107660L .

AMA Style

Gerardo Salvador Romo-Cárdenas, Juan De Dios Sánchez-López, María De Los Ángeles Cosío León, Priscy Luque, Claudia M. Gómez-Gutierrez, Juan Ivan Nieto Hipolito, Arturo Jiménez-Cruz, Santiago Camacho-Lopez, Mabel Vázquez Briseño. Study on mid-IR spectroscopy on whole blood samples for human glucose quantification applications. Infrared Sensors, Devices, and Applications VIII. 2018; 10766 ():107660L.

Chicago/Turabian Style

Gerardo Salvador Romo-Cárdenas; Juan De Dios Sánchez-López; María De Los Ángeles Cosío León; Priscy Luque; Claudia M. Gómez-Gutierrez; Juan Ivan Nieto Hipolito; Arturo Jiménez-Cruz; Santiago Camacho-Lopez; Mabel Vázquez Briseño. 2018. "Study on mid-IR spectroscopy on whole blood samples for human glucose quantification applications." Infrared Sensors, Devices, and Applications VIII 10766, no. : 107660L.

Journal article
Published: 18 August 2018 in Results in Physics
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The amount of data generated in the laboratory increases constantly, where a common problem needed to be addressed during the data preparation stage is related to noise. The Savitzky-Golay method has been established as the common smoothing technique, where the process is based on two parameters: polynomial order and window size, which are commonly empirically determined. This work shows how the application of the Nyquist theorem allows to calculate the window size parameter of the Savitzky-Golay smoothing method, in order to process bio-optical signals. Like in the case of mid-IR glucose absorption and cervical spine X-ray images, from which a derivative based analysis allows to either confirm or determine regions of interest for further study.

ACS Style

Gerardo Romo-Cardenas; G.J. Avilés-Rodríguez; Juan De Dios Sanchez Lopez; María De Los Ángeles Cosío León; Priscy Luque; C.M. Gómez-Gutiérrez; Juan Ivan Nieto Hipolito; Mabel Vazquez; Christian X. Navarro-Cota. Nyquist-Shannon theorem application for Savitzky-Golay smoothing window size parameter determination in bio-optical signals. Results in Physics 2018, 11, 17 -22.

AMA Style

Gerardo Romo-Cardenas, G.J. Avilés-Rodríguez, Juan De Dios Sanchez Lopez, María De Los Ángeles Cosío León, Priscy Luque, C.M. Gómez-Gutiérrez, Juan Ivan Nieto Hipolito, Mabel Vazquez, Christian X. Navarro-Cota. Nyquist-Shannon theorem application for Savitzky-Golay smoothing window size parameter determination in bio-optical signals. Results in Physics. 2018; 11 ():17-22.

Chicago/Turabian Style

Gerardo Romo-Cardenas; G.J. Avilés-Rodríguez; Juan De Dios Sanchez Lopez; María De Los Ángeles Cosío León; Priscy Luque; C.M. Gómez-Gutiérrez; Juan Ivan Nieto Hipolito; Mabel Vazquez; Christian X. Navarro-Cota. 2018. "Nyquist-Shannon theorem application for Savitzky-Golay smoothing window size parameter determination in bio-optical signals." Results in Physics 11, no. : 17-22.