Browsing by Type "Conference Proceeding"
  • Publication
    A clustering optimization approach for disaster relief delivery: A case study in Lima-Perú
    ( 2016-01-01)
    Vargas-Florez J.
    ;
    Medina-Rodríguez R.
    ;
    Alva-Cabrera R.
    During the last decade, funds to face humanitarian operations have increased approximately ten times. According to the Global Humanitarian Assistance Report, in 2013 the humanitarian funding requirement was by US$ 22 billion, which represents 27.2% more than the requested in 2012. Furthermore, the transportation cost represents between one third to twothirds from the total logistics cost. Therefore, a frequent problem in a disaster relief is to reduce the transportation cost by keeping an acceptable distribution service. The latter depends on a reliable delivery route design, which is not evident considering a post-disaster environment. In this case, the infrastructures and sources could be inexistent, unavailable or inoperative. This paper tackles this problem, regarding the constraints, to relief delivery in a post-disaster environment (like an eight degree earthquake) in the capital of Perú. The routes found by the hierarchical ascending clustering approach, which has been solved with a heuristic model, achieved the best result.
  • Publication
    A digital hardware architecture for a three-input one-output zero-order ANFIS
    ( 2012-05-07)
    Saldana H.
    ;
    SILVA CARDENAS, CARLOS BERNARDINO
    A digital system architecture for a three-input one-output zero-order ANFIS (Adaptive Neuro-Fuzzy Inference System) is presented. The proposed architecture takes into account that the training process is done off-line in the MATLAB environment. The system is implemented as a nonlinear-function generator for test purposes. Post-place and route simulation results obtained on a Xilinx Spartan-3 XC3S200 FPGA are presented. Its correct operation is verified by the results obtained for two chosen functions. These results show that the system is capable of achieving a close approximation of any of the functions with a fast response time. © 2012 IEEE.
  • Publication
    A fast intra-frame prediction algorithm for MPEG-2/H.264 video transcoders
    ( 2005-12-01)
    Fernández-Escribano G.
    ;
    Cuenca P.
    ;
    Orozco-Barbosa L.
    ;
    Garrido A.
    The H.264 standard, jointly developed by the ITU-T and the MPEG committees, is highly efficient offering perceptually equivalent quality video at about 1/ 3 to 1/2 of the bitrates offered by the MPEG-2 format. These significant bandwidth savings open the market to new products and services, including HDTV services at lower bitrates. It is expected that the H.264/AVC will take over the digital video market, replacing the use of MPEG-2 in most digital video applications. The complete migration to the new video-coding algorithm will take several years given the wide scale use of MPEG-2 in the market place today. This creates an important need for transcoding technologies for converting the large volume of existent video material from the MPEG-2 into the H.264 format and vice versa. However, given the significant differences between the MPEG-2 and the H.264 encoding algorithms, the transcoding process of such systems is much more complex to other heterogeneous video transcoding processes. In this paper, we introduce and evaluate a novel fast infra-frame prediction algorithm to be used as part of a high-efficient MPEG-2 to H.264 transcoder. Our results show that the proposed algorithm is able to maintain a good picture quality while considerably reducing the number of operations to be performed. © 2005 IEEE.
  • Publication
    A Low Cost Self-Driving Cars Project Based Course for Undergraduate Students in Developing Countries
    (Institute of Electrical and Electronics Engineers Inc., 2019-12-01)
    Arce D.
    ;
    BALBUENA GALVAN, JOSE GUILLERMO
    ;
    CUELLAR CORDOVA, FRANCISCO FABIAN
    This paper presents the design and preliminary results of a low cost self-driving cars project based course for undergraduate students, which aims to integrate automotive design concepts, localization and navigation algorithms, computer vision, and deep learning techniques. This course is part of the Mechatronics program at Pontificia Universidad Catolica del Peru (PUCP), and was inspired by the growth in demand of intelligent/autonomous cars in the automotive industry. The main objective of the course is to provide the basic concepts of automation technologies in the area of autonomous cars and provide the fundamental tools for the development of self-driving cars. In order to achieve this, the students must complete a course compose of five theoretical modules (39 hours), and five practical modules (10 hours), during an entire semester at PUCP. The course promotes undergraduate students to work as a team, learn from hands-on experience, validate their prototypes in real scenarios, and learn basic scientific writing and presentation skills. The preliminary results show that the students enrolled in the course learned the necessary concepts to implement a low cost self-driving car capable of driving autonomously inside a two lanes racetrack and avoid obstacles by changing lanes only using a camera, an embedded system and ultrasonic sensors for the mapping, path planning and obstacle detection algorithms.
  • Publication
    A static video summarization approach with automatic shot detection using color histograms
    ( 2012-12-01)
    CAYLLAHUA CAHUINA, EDWARD JORGE YURI
    ;
    Menotti D.
    ;
    CAMARA CHAVEZ, GUILLERMO
    Shot detection has been widely used in video summarization for video analysis, indexing, and browsing. In this paper, we present an approach for static video summarization using histograms information for an automatic shot detection. The principal component analysis (PCA) is used in order to reduce the dimensionality of the feature vector. We propose the use of Fuzzy-ART and Fuzzy C-Means algorithms to automatically detect the number of clusters in the video and consequently extract the shots from the original video. The process is entirely automatic and no a priori human interaction is needed. The storyboards produced by our model are compared with the ones presented by the Open Video Project.
  • Publication
    A Study on Global Path Planners Algorithms for the Simulated TurtleBot 3 Robot in ROS
    (Institute of Electrical and Electronics Engineers Inc., 2020-11-09)
    De Assis Brasil P.M.
    ;
    Pereira F.U.
    ;
    De Souza Leite Cuadros M.A.
    ;
    Cukla A.R.
    ;
    TELLO GAMARRA, DANIEL FERNANDO
    This article aims to study global path planners algorithms using a mobile robot in the ROS (Robot Operating System) framework. Experiments were carried out in different environments, aiming to apply the Dijkstra and A ∗ algorithms in simulation. The tests were performed with the robot TurtleBot 3 Burger, which runs using open source software. Location and orientation data from the sensors of the robot were stored. After analyzing the results, there was a slight superiority of Dijkstra algorithm from the ROS libraries, in relation to the A ∗ algorithm in the environments with obstacles.
  • Publication
    Accurate predictions of terahertz noise in ultra-small devices: A limiting factor for their practical application?
    ( 2013-09-16)
    Oriols X.
    ;
    Benali A.
    ;
    Yaro S.
    ;
    Albareda G.
    ;
    Mateos J.
    ;
    Gonzalez T.
    With the aim of manufacturing faster devices, the electronic industry scales down device's dimensions and is today entering into a nanoscale and Terahertz frequency regimes. In this work, we show how the reduction of the length L of the active region of two terminal devices implies (apart from the expected improvement of their dynamic behavior) a typically disregarded increment on the fluctuations of the current. In particular, the high-frequency current fluctuations are proportional to 1/L so that the noise grows unlimitedly when the device's dimensions are reduced. This important drawback, common to classical and quantum regimes, remains mainly unnoticed by the scientific community. © 2013 IEEE.
  • Publication
    Adaptive Robust Linear Programming Model for the Charging Scheduling and Reactive Power Control of EV Fleets
    ( 2021-06-28)
    Arias N.B.
    ;
    Lopez J.C.
    ;
    Rider M.J.
    ;
    Fredy Franco J.
    High penetration of electric vehicles (EVs) triggers challenges and opportunities for distribution system operators. Inverter-based EV chargers with active/reactive power control can be used to coordinate the EV fleet's charging process while providing local volt/var regulation. This paper proposes an adaptive robust programming model for the charging scheduling of EV fleets that exploits their capability to locally support the grid via reactive power control. The proposed model aims at maximizing the aggregator's revenue while considering the worst-case scenario in terms of active power losses at the supporting grid. Operational constraints of unbalanced three-phase distribution networks under demand uncertainty are also enforced. The proposed robust model is a min-max problem that can be linearized and solved using a column-and-constraint generation (CCG) method. Tests performed in a 25-node distribution system illustrate the EV fleet's capacity to support the grid while minimizing the total energy not supplied.
  • Publication
    Adversarial signal denoising with encoder-decoder networks
    ( 2021-01-24)
    Casas L.
    ;
    Klimmek A.
    ;
    Navab N.
    ;
    Belagiannis V.
    The presence of noise is common in signal processing regardless the signal type. Deep neural networks have shown good performance in noise removal, especially on the image domain. In this work, we consider deep neural networks as a denoising tool where our focus is on one dimensional signals. We introduce an encoder-decoder architecture to denoise signals, represented by a sequence of measurements. Instead of relying only on the standard reconstruction error to train the encoder-decoder network, we treat the task of denoising as distribution alignment between the clean and noisy signals. Then, we propose an adversarial learning formulation where the goal is to align the clean and noisy signal latent representation given that both signals pass through the encoder. In our approach, the discriminator has the role of detecting whether the latent representation comes from clean or noisy signals. We evaluate on electrocardiogram and motion signal denoising; and show better performance than learning-based and non-learning approaches.
  • Publication
    AIP Conference Proceedings: Prologue
    ( 2010-12-13)
    D'Olivo J.C.
    ;
    Frank A.
    ;
    López-Fernández R.
    ;
    Pérez M.A.
  • Publication
    Alarm system of optical fibre using the thermal-optical sensibility of the PNIPAAm polymer
    ( 2007-12-04)
    RUEDA SANCHEZ, JUAN CARLOS
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    Chana D.
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    CONTRERAS VILLALOBOS, KEVIN
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    COELLO PARIA, RAFAEL RAUL
    ;
    Lomer M.
    An alarm system as extrinsic sensor on optical fibers for detecting and controlling inflammable liquids based on thermosensitive proprieties of the PN1PAAm hydrogel is presented. The changes on the optical proprieties of the PN1PAAm with the temperature (being its LCST 32°C), induce abrupt changes on the light intensity and they act as an alarm signal, which is transmitted by optical fibers and after they will be processed by an optoelectronic circuit, responsible to active an alarm. An appropriate system consists of the hydrogel connected between its ends to two segments of plastic optical fibers (source and receiver) and they turn on the alarm when a photo detector does not receive light when the hydrogel becomes when it reaches threshold of temperature. The characterization of the hydrogel and the experimental results are presented for a prototype.
  • Publication
    Algorithmic development for digital image processing and real time application in gears
    (Latin American and Caribbean Consortium of Engineering Institutions, 2019-01-01)
    SOTELO VALER, FREEDY
    ;
    Gamarra Chinchay, Hugo
    ;
    Córdova Lopez, Jorge
    In this work some algorithmic techniques of frequent use were developed in different processes carried out using digital image processing techniques. Previously said algorithms were verified using the matlab software, then once the validity and operation of said algorithms was verified; We proceeded to the implementation of a system of verification of parameters of quality of paint, sizing and forms in a sample of gears in real time. The System was implemented using the Visual C++ programming platform, due to its robustness.
  • Publication
    Am IE towards ambient intelligence for the ageing citizens
    ( 2009-07-21)
    Kantorovitch J.
    ;
    Kaartinen J.
    ;
    COLLANTES SANTISTEBAN, LUIS JAIME
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    De las Heras Martín R.
    ;
    Cantera J.A.M.
    ;
    Criel J.
    ;
    Gielen M.
    This research presents a system, currently under development, which aims at providing an intelligent ambient able to improve the quality of life and delivering customized support to elderly people in need of assistance, according to their own specific situation, and in a non-intrusive and respectful way.
  • Publication
    An Exploratory Study on Motivational Predictors in Internet Gaming Disorder among Peruvian Gamers
    (Institute of Electrical and Electronics Engineers Inc., 2018-12-27)
    RAMOS DIAZ, JANO ARCHIE
    ;
    Király O.
    ;
    RAMOS SANDOVAL, ROSMERY
    ;
    Demetrovics Z.
    ;
    Griffiths M.D.
    According to many reports, one of the fastest growing industries in the US is video games. In Peru, it is estimated that Peruvians spent more than one hundred million dollars annually in videogames. However this number may be underestimated since piracy is a common practice. With the rapid proliferation of this form of entertainment, the inclusion of Internet Gaming Disorder (IGD) in section III of the Diagnostic and Statistical Manual of Mental Disorders and the recent inclusion of Gaming Disorder in the beta draft of the 11 th International Classification of Diseases, many academic researchers and health professionals have become concerned with the addictive properties of videogames. Previous research has found that motivational factors have an important role in addictive behaviors. For this reason, the present study aimed to identify the main motivational factors underlying IGD. To reach this goal, a large empirical survey was carried out among 821 Peruvian gamers. Results showed that escape and fantasy were the factors that most predict IGD among Peruvian gamers. Implications for mental health professionals, game developers, and academics are discussed.
  • Publication
    Antimicrobial activity of chitosan composites against bacterial strains isolated from goat meat and cheese
    ( 2019-03-14)
    Cruz G.
    ;
    Rimaycuna J.
    ;
    Alfaro R.
    ;
    Tripul V.
    ;
    Solis R.
    ;
    Gómez M.
    ;
    Paraguay-Delgado F.
    ;
    Solis J.
    Chitosan composites based on residual biomass (shrimp shell) and polyvinyl alcohol (PVA) with different concentrations of CuO nanoparticles (NPs) were prepared and tested against bacteria isolated from goat meat and cheese. A casting method was used to prepare composites with 0, 0.05, 0.10, 0.15 and 0.20% CuO in the mixed solution (chitosan + PVA). The CuO NPs were characterized using FTIR spectroscopy and XRD. Additionally, these composites were analyzed by thermogravimetric analysis (TGA). NPs were detected by XRD mainly in the composite with the highest concentration (0.2%). Isolated bacteria from goat meat and milk (15 strains) were used to test the antibacterial properties of the composites, evaluating the effect of CuO NP concentration. All synthesized composites presented antibacterial inhibition against bacteria. However, for some strains of gram-positive and gram-negative bacteria, inhibition was 50% of that observed for the combination of antibiotics, amoxicillin/clavulanic acid (AMC) or trimethoprim/sulfamethoxazole (SXT). Gram-negative bacteria isolated from goat meat were sensitive to PVA composites with CuO NPs. In most of the tested strains, the zone of inhibition increased as the NP concentration in the composite increased.
  • Publication
    Arsenic removal from water of the peruvian rivers using low cost carbon base adsorbents produced from agro industry waste
    ( 2018-01-01)
    Cruz G.
    ;
    Gomez M.M.
    ;
    Solis J.L.
    Microporous-mesoporous activated carbons or biochar were produced from sawdust from Peruvian forestry species and agro-industrial wastes as potential materials for application in water and wastewater treatment. The used sawdust samples were from Cedrelinga catenaeformis Ducke and Colicodendron scabrida and the agro-industrial wastes were cocoa pod husk, corncob, red mombin seed, internal and external part of the mango pit, and coffee husk. Hybrid materials based on activated carbons with chitosan or ZnO nanoparticles were produced in order to add an antibacterial capacity or photocatalytic properties. The impregnated samples showed adsorption capacity of Arsenic from Tumbes River water with removal capacities between 80–100% at first 5 min of experiments. Besides, the antibacterial properties against E. coli and Shigella flexneri were evident.
  • Publication
    Automated Attendance Control System for Health Center Staff
    (Institute of Electrical and Electronics, 2022-01-01)
    PEREZ SIGUAS, ROSA EVA
    ;
    MATTA SOLIS, HERNAN HUGO
    ;
    Matta-Zamudio L.
    ;
    MATTA SOLIS, EDUARDO PERCY
    The world is still affected by SARS-COV-2 that was spreading little by little and generated many human losses, causing an economic crisis worldwide, which led governments to declare a quarantine to avoid physical contact since medical personnel were doing their best to control the virus, but it was not enough. Given this, a growth in the development of automation technologies was observed, this technology has been applied in the annotation of worker assistance sheets, where previously it was necessary to supervise someone being a non-optimal method and causing loss of time in the process of looking for previous files that by mistake were not registered, there is some physical contact. In view of this problem, in this article an automated attendance control system was made for the staff of the health center and verify their time of entry and exit of each worker to be visualized through a user interface, with this it will be possible to control the labor discipline of each worker since this system will store in the cloud the data that is recorded daily in an orderly manner. replacing the manual system. Through the development of the system, it was observed that the system works effectively since an efficiency of 94.17% was obtained in its operation to control the time of entry and exit of each worker, being an accepted value since the process is conducted quickly and lightly.
  • Publication
    Automatic vascular detection system for the part of the forearm of patients
    (Institute of Electrical and Electronics Engineers Inc., 2022-01-01)
    PEREZ SIGUAS, ROSA EVA
    ;
    Matta-Zamudio L.
    ;
    MATTA SOLIS, HERNAN HUGO
    ;
    MATTA SOLIS, EDUARDO PERCY
    Currently the health system continues to fight against the pandemic caused by SARS-CoV2 because this virus has not yet disappeared and there are still outbreaks of infections in several places, this generated in people an indecision of what it can generate later since this virus generated a change in the world. Being a contagious and fast-spreading virus, WHO called on all governments to take appropriate measures to stop the spread of COVID-19 as there were many infected. Given this, there are people who need the care of a doctor because they suffer from a disease and that this implies the extraction of blood for a deep analysis or to place an intravenous injection in the patient's forearm, but in many cases the distribution of the veins can not be visualized and this hinders the work of the doctor. In view of this problem, in this article an automatic vascular detection system was carried out for the part of the forearm of patients and to be able to visualize the subcutaneous vein so that the doctor has access quickly and help the patient in an emergency. Through the development of the system, it was observed that it works in the best way, since in its development a 97.69% efficiency was obtained by showing the binary image where the distribution of the veins is observed taking 8.74 seconds, being an accepted value so that it can be implemented in several medical centers.
  • Publication
    Computational complexity reduction of intra-frame prediction in MPEG-2/H.264 video transcoders
    ( 2005-12-01)
    Fernández-Escribano G.
    ;
    Cuenca P.
    ;
    Orozco-Barbosa L.
    ;
    Garrido A.
    MPEG-2 is the most widely digital video-encoding standard in use nowadays. It is being widely used in the development and deployment of digital TV services, DVD and video-on-demand services. However, recent developments have given birth to the H.264/AVC, offering better bandwidth to video quality ratios than MPEG2. It is expected that the H.264/AVC will take over the digital video market, replacing the use of MPEG-2 in most digital video applications. The complete migration to the new video-coding algorithm will take several years given the wide scale use of MPEG-2 in the market place today. This creates an important need for transcoding technologies for converting the large volume of existent video material from the MPEG-2 into the H.264 format and vice versa. However, given the significant differences between the MPEG-2 and the H.264 encoding algorithms, the transcoding process of such systems is much more complex to other heterogeneous video transcoding processes. In this paper, we introduce and evaluate a novel infra-frame prediction algorithm to be used as part of a high-efficient MPEG-2 to H.264 transcoder. Our evaluation results show that the proposed algorithm considerable reduces the complexity involved in the intra-frame prediction: a key operation in the transcoding process. © 2005 IEEE.
  • Publication
    Design factors in multicast service delivery using the optical layer in core and metro networks
    (IEEE Computer Society, 2017-09-01)
    Larrabeiti D.
    ;
    FERNANDEZ DEL CARPIO, GONZALO MAURICIO
    ;
    Otero G.
    ;
    Ruiz-Pinar J.
    As optical switching and multiplexing architectures evolve, optical multicast keeps on being a capability advertised by a few core and transport optical equipment vendors. However, to the date, not much use of this service has been made by operators. This work addresses the reasons behind this fact, identifies the key technical design factors in a multicast-capable network and the challenges to face for an effective use of multicast at the optical layer.