Recent Submissions

  • Development of a racing video game using the smartphone as a steering wheel

    Quino, Jorge A.; Crispin, Adolfo G.; Barrientos, Alfredo; Cuadros, Miguel E. (International Institute of Informatics and Systemics, IIIS, 2022-01-01)
    Uno de los géneros más populares de videojuegos han sido los de carreras. Aquí hay una fuerte demanda por controladores con diseño de timón que hacen de la experiencia de juego más inmersiva y entretenida. No obstante, estos controladores suelen ser caros y no todos los jugadores pueden adquirirlos. En el afán de encontrar una alternativa más accesible que ofrezca la misma inmersión a los jugadores de este género se implementó SmartDrive, un videojuego de carreras para Android programado en Unity 3D. SmartDrive utiliza dos smartphones Android 5.0 o superior conectados vía un hotspot WiFi, uno se usa como pantalla del juego y otro como un timón gracias a sus sensores de movimiento. La validación contó con 30 participantes que jugaron y brindaron sus valoraciones mediante una encuesta. Los resultados finales destacaron la aceptación de SmartDrive en los participantes al ofrecer una experiencia inmersiva con una mecánica de juego novedosa e intuitiva, e implementada con recursos más económicos. Este estudio mostró el potencial de SmartDrive como una alternativa accesible y sin perder el grado de entretenimiento.
    Acceso abierto
  • Assessment System for Physical Abuse in adolescents caused by Domestic Violence

    Caytuiro, Yesenia Cruzado; Navarro Mantari, Kerling A.; Durango, Daniel Wilfredo Burga (Institute of Electrical and Electronics Engineers Inc., 2022-01-01)
    Research shows that around 300 million children in the world live in situations of violence in their homes. In addition, it is mentioned that the attention to these cases is not adequate in terms of attention time and treatment [1]. This paper presents a web application which obtains statistics in real time that allows specialists to show cases of physical abuse and thus be able to intervene quickly. We present a system based on Amazon Web Services (AWS) made with MySql database and the RDS service. Compared to the traditional method, a survey carried out on paper and with a data processing time. This comparison showed that the average data capture rate is lower than with the traditional method since the data is uploaded to the network instantly without the need to digitize the responses and it can also be used anywhere with internet access.
    Acceso restringido temporalmente
  • Web Solution Based on QR Code for the Traceability of the Wood Transformation Process

    Amaya, Edgar Diaz; Rojas, Omar Troncos; Guerrero, Mario Paiva (Institute of Electrical and Electronics Engineers Inc., 2022-01-01)
    The information's management on the traceability of wood in Peru is complicated by multiple causes. In this article we present our project, which seeks to propose a technological model that allows greater efficiency in the management of timber information so that sawmills in Peru can improve their administration. Our proposed model allows us to appreciate a possible improvement in the time it takes to obtain information on the traceability of wood compared to the traditional way in which work continues in Peru. Also, in the investigation a prototype application of traceable information was developed. The main contribution of the research consists in the design of a technological model that serves as a reference to develop a technological solution for the traceability of wood in Peru.
    Acceso restringido temporalmente
  • HydroTi: An Irrigation System for Urban Green Areas using IoT

    Carrillo-Pasiche, Piero; Miranda-Gutarra, Anthony; Ugarte, Willy (Institute of Electrical and Electronics Engineers Inc., 2022-01-01)
    Irrigation systems and their performance to efficiently accomplish their function have gained notoriety in recent years. Therefore, those systems are not capable of approaching many factors as water-saving and irrigation automation. Here we present a new irrigation system based on the IoT, analyzing the most important factors that involve an efficient irrigation process taking into consideration water usage and saving this resource. Thus, we developed a prototype using Arduino Uno which is connected to sensors that can lead a web application named HydroTi to determine when to irrigate and how much water to use. This function was enabled by Adafruit IO, a web service useful for IoT projects. To validate the effectiveness of this solution, we compared different irrigation types to determine that the automatic irrigation mode of HydroTi is better w.r.t. water consumption in Metropolitan Lima, Peru urban areas.
    Acceso restringido temporalmente
  • Reference Model for the Development of a Learning Management System with an Integrated Voice Assistant for the Optimization of the Teaching Process of a Foreign Language for People with Visual Impairment

    Begazo, Mayber Javier Celis; Durango, Daniel Wilfredo Burga (Institute of Electrical and Electronics Engineers Inc., 2022-01-01)
    Visually impaired people experience different accessibility barriers when they want to learn a second language through virtual classes. In addition to this, Screen Readers often have a high learning curve, plus they are not optimized for reading different languages at the same time. For this reason, it was decided to design the model of a Learning Management System (LMS) with a minimalist and accessible design and with an integrated voice assistant. As a result, it was obtained that the proposed solution was more efficient and effective in providing support to the process of teaching foreign languages in contrast to the methodology currently used.
    Acceso restringido temporalmente
  • System to evaluate the medical teleconsultation service in public health centers in Peru

    Guzman, Diego Arrospide; Verastegui, Melisa Camila Bravo; Durango, Daniel Wilfredo Burga (Institute of Electrical and Electronics Engineers Inc., 2022-01-01)
    The investigation of the existing information has shown that there is a high waiting time for the scheduling and especially the attention of medical appointments. This paper presents THANI, a medical teleconsultation system aimed at the public sector, which aims to reduce long waiting times for medical appointments through a web platform that integrates all the benefits of telehealth. This system allows waiting times to be reduced by improving and redesigning the traditional flow that takes place in public health centers in Peru, which have proven to be inefficient and generate user dissatisfaction. We apply satisfaction surveys to the main users of the system: patients. This evaluation showed a considerable improvement in terms of medical appointment times, improving the experience of patients and medical providers of health services by reducing the time of attending medical appointments from 80 minutes on average to 30 minutes, which implies a saving of approximately 50 minutes.
    Acceso restringido temporalmente
  • Management Model under the BPM Approach and DT Tools to Increase the Level of Sales in a Peruvian Nanostore

    Quiroz-Flores, Juan Carlos; Valverde-Huaman, Carla Brenda; Romero-Vega, Martin Alvaro (Institute of Electrical and Electronics Engineers Inc., 2022-01-01)
    Retail trade is one of the main economic activities most develop d in the MYPES of Peru; this sector faces the rapid growth of its competitors, which are convenience stores and discount stores, due to the model of modern business that they handle, affect the nanostores. According to the above, nanostores must acquire new ways to grow and outperform their competitors. Therefore, they must adapt to recent technological advances and apply more appropriate strategies for their growth. This study aims to redesign the commercial process of these businesses through the BPM methodology and DT tools to generate higher sales since they are currently at 40. 36% caused by poor management in their business process. After applying the model through the implementation method, sales increased by 69.55%, thus generating a more significant profit.
    Acceso restringido temporalmente
  • A model for renewable energy-based product innovation based on TRIZ methodology, exergy analysis and knowledge management: Case study

    Alvarez, José C.; Hatakeyama, Kazuo; Carvalho, Monica; Marçal, Roberto C.; Inche, Jorge; de Melo, Norma (Elsevier Ltd, 2022-11-01)
    Eco-innovation is the innovation of products that focuses on the use of renewable energy and meets specific environmental requirements, and is essential for energy conservation and environmental protection. There are recommendations and strategies available for general product development, but there are limited studies when focusing on renewable energy products. A proposal for eco-innovation in renewable energy is developed based on exergy analysis, TRIZ methodology, and knowledge management. The model is demonstrated with a specific case study. This study contributes to the analysis and development of products with renewable energy that help mitigate climate change, consistent with the change in the energy matrix. Furthermore, this study is a transdisciplinary effort that integrates concepts from different topics to achieve a comprehensive model.
    Acceso abierto
  • A Conversion Algorithm for ECG signals on a 2D array based on Digital Signal Processing

    Cabanillas, Julio Cesar; Kemper, Guillermo; Del Carpio, Christian (Institute of Electrical and Electronics Engineers Inc., 2022-01-01)
    This work proposes a computational algorithm to convert digital files containing electrocardiogram (ECG) information into 1D signals. Many medical databases have in storage files containing ECG information that is not easy to process for computational algorithms. Digitization by the proposed method makes it possible to modernize the databases of many health centers in order to perform post-processing of the signals obtained. This method is based on applying digital signal processing techniques to images obtained from a PDF file produced by an electrocardiograph. The proposed algorithm takes into consideration the thickness of the printed signal in the PDF image so that it does not introduce distortion in the final 1D signal. Due to the distribution of the ECG signals on the PDF files the algorithm identifies and segments the signals on 2 dimensions. The results show that the proposed method can correctly reproduce the information of the ECG waves captured in the PDF file regardless of the elements outside the ECG signal such as the background grid or the different information indicators, whether they are labels or references of the ECG signals. The algorithm has an accuracy of 95% based on the statistical analysis performed for all samples.
    Acceso restringido temporalmente
  • An SVM-based Intelligible Signal Presence Detection Algorithm for FM Signals Demodulated via SDR

    Linares, Arturo; Mejia, Bernabe; Sanchez, Alonso; Kemper, Guillermo (Institute of Electrical and Electronics Engineers Inc., 2022-01-01)
    This work proposes a computational algorithm which monitors voice/audio signals demodulated from a FM receptor and detects whether they are intelligible or not. Data analytics applications which require the continuous storage of radio broadcasted audio signals into a database can benefit from this algorithm. In many instances, the broadcasted signals arrive at the receptor with heavy distortion and noise content, limiting the data analysis due to poor data quality. Moreover, radio spectrum supervisory agencies can also take advantage of this work, since broadcasted signals can be efficiently and continuously monitored to detect whether a broadcaster has stopped transmitting for an extended period. First, the algorithm processes the demodulated signals block by block, extracting its MFCC coefficients, spectral centroid, the arithmetic and geometric means of the frequency magnitude spectrum and the zero-crossing rate in the time domain. Then, these parameters enter a classification algorithm based on three successive support vector machines (SVM), which output one of four possible classes for each block: intelligible clean signal, intelligible noisy signal, unintelligible noisy signal, and noise/silence signal. The algorithm has a 99.85% accuracy for intelligible clean signal versus unintelligible noisy/noise/silence signals; 97.34% accuracy for intelligible noisy signal versus noise/silence signals; and 96.36% accuracy for intelligible voice versus noise/silence.
    Acceso restringido temporalmente
  • Develop a Model for Assessing the Most Efficient Diseases Diagnosis using Machine Learning

    Vives, Luis; Basha, N. Khadar; Poonam; Gehlot, Anita; Chole, Vikrant; Pant, Kumud (Institute of Electrical and Electronics Engineers Inc., 2022-01-01)
    so, machine learning techniques are being developed to improve performance and maintenance prediction. Increasing our knowledge of the relationship between humans and algorithms, Because data is so valuable, improving strategies for intelligently having to manage the now-ubiquitous content infrastructures is a necessary part of the process toward completely autonomous agents. Numerous researchers recently developed numerous computer-aided diagnostic algorithms employing various supervised learning approaches. Early identification of sickness may help to reduce the number of people who die as a result of these illnesses. Using machine learning techniques, this research creates an efficient automated illness diagnostic algorithm. We chose three key disorders in this paper: coronavirus, cardiovascular diseases, and diabetes. The data are inputted into a mobile application in the suggested model, the investigation is then done in a real-time dataset that used a pre-trained model machine learning technique trained within the same dataset then implemented in firebase, and lastly, the illness identification result can be seen in the mobile application. Logistic regression is a method of prediction calculation
    Acceso restringido temporalmente
  • Pre-split blasting design to reduce costs and improve safety in underground mining

    Pomasoncco-Najarro, Alexander; Trujillo-Valerio, Claudio; Arauzo-Gallardo, Luis; Raymundo, Carlos; Quispe, Grimaldo; Dominguez, Francisco (Elsevier Ltd, 2022-11-01)
    To control the overbreaking of an underground mining development gallery, the controlled blasting technique was proposed and as a result it was possible to reduce costs and improve the physical stability of the periphery of the opening, achieving greater safety for personnel and equipment. With the support of the geomechanical studies, the rock quality of the advancing front was determined, serving for the design of the drilling mesh and the choice and distribution of the explosives in the respective drills. This study demonstrates that it is possible to make progress in efficient mining preparation and development work, achieving minimal damage to the roof and walls of the mining work. Performing the simulation with the software determines a difference between conventional blasting with the design of the pre-cut technique, optimizing the parameters of the perforation mesh, selection of the explosive charge, the order of detonation. As a result, the study found a 60%–70% reduction in excess excavation, showing a better finish of the tunnel contour, yielding a 16% reduction in support costs.
    Acceso abierto
  • Digitization model for costs and operating times reduction in Peruvian Banks

    Castro-Nagatomy, Eder; Castillo-Carmelino, Julio; Raymundo-Ibañez, Carlos; Perez-Paredes, Maribel; Dominguez, Francisco (Elsevier Ltd, 2022-11-01)
    Deforestation is one of the problems that is producing a significant impact on the environment in countries that have large extensions of forests such as Peru, caused by different factors such as paper consumption, whose increase in recent years has also generated an increase in the costs and times related to the management and transportation of physical documents. These physical processes were further affected due to the COVID-19 restrictions, having a significant negative impact on customer satisfaction due to some processes that required their presence at bank branches. According to recent research, 90% of financial institutions continue to maintain a traditional document management system that consists of printing, storing and consulting physical documents, due to the lack of culture and activities aimed at digitizing processes; however, this change is possible with a model oriented to the transformation of said processes and the organizational culture; our main motivation to carry out this research was the change that the digitization of processes offers to companies and the environment. Our management model consists of 4 stages: collection of necessary requirements, identification of the main problem and improvement objectives, execution of the 3 management tools selected from our model and validation of the results obtained. The result obtained thanks to the application of the model in our validation case, shows a reduction of 65% of the costs related to document management in the first 3 months, in the following 3 months the reduction suffers an increase to 95.37%. In addition to this, the time to search and obtain documents will be reduced by approximately 99%. In conclusion, we determined that Change Management and Organizational and Infrastructure Management are necessary to be able to transform physical processes into digital ones since these three complement each other.
    Acceso abierto
  • DeepHistory: A convolutional neural network for automatic animation of museum paintings

    Ysique-Neciosup, Jose; Mercado-Chavez, Nilton; Ugarte, Willy (John Wiley and Sons Ltd, 2022-01-01)
    Deep learning models have shown that it is possible to train neural networks to dispense, to a lesser or greater extent, with the need for human intervention for the task of image animation, which helps to reduce not only the production time of these audiovisual pieces, but also presents benefits with respect to the economic investment they require to be made. However, these models suffer from two common problems: the animations they generate are of very low resolution and they require large amounts of training data to generate good results. To deal with these issues, this article introduces the architectural modification of a state-of-the-art image animation model integrated with a video super-resolution model to make the generated videos more visually pleasing to viewers. Although it is possible to train the animation models with higher resolution images, the time it would take to train them would be much longer, which does not necessarily benefit the quality of the animation, so it is more efficient to complement it with another model focused on improving the animation resolution of the generated video as we demonstrate in our results. We present the design and implementation of a convolutional neural network based on an state-of-art model focused on the image animation task, which is trained with a set of facial data from videos extracted from the YouTube platform. To determine which of all the modifications to the selected state-of-the-art model architecture is better, the results are compared with different metrics that evaluate the performance in image animation and video quality enhancement tasks. The results show that modifying the architecture of the model focused on the detection of characteristic points significantly helps to generate more anatomically and visually attractive videos. In addition, perceptual testing with users shows that using a super-resolution video model as a plugin helps generate more visually appealing videos.
    Acceso restringido temporalmente
  • Transtibial Electromechanical Prosthesis Based on a Parallel Robot: A Innovate Review

    Huamanchahua, Deyby; Osores-Aguilar, Diego; Leon-Sales, Victor Andre; Valenzuela-Lino, Yadhira S.; Huallanca-Escalera, Harold (Institute of Electrical and Electronics Engineers Inc., 2022-01-01)
    In recent years, the development of prosthetic limbs has increased due to the various studies that have been carried out around Biomechanics. These technological advances have allowed many amputee patients to return to their daily activities and, in some cases, to recover their social life. However, there are still limitations for some types of prostheses such as passive prostheses, mainly those intended for people with transtibial amputations since they do not perform the physiological function of the joints. Therefore, in-depth research on transtibial prostheses has been carried out. The search period spans from the year 2018 to the year 2021. Information was considered in a simplified and well-structured manner on the design of a transtibial electromechanical prosthesis. Therefore, we will analyze its main features related to its design and application in the patient.
    Acceso restringido temporalmente
  • Knee and Ankle Exoskeletons for Motor Rehabilitation: A Technology Review

    Huamanchahua, Deyby; Otarola-Ruiz, Cesar Luciano; Quispe-Pina, Ana; De La Torre-Velarde, Elvis J. (Institute of Electrical and Electronics Engineers Inc., 2022-01-01)
    Exoskeletons have been around since 1890 when a passive device was developed to assist movement. Although the exoskeleton initially focused on the whole body, it has become increasingly focused on a more specific area, which makes rehabilitation work more feasible and, consequently, less costly. Therefore, the purpose of the article is to present a systematic review of trends in the technical area of knee and ankle exoskeletons for rehabilitation purposes. The objective is to provide the interested researcher with a structured matrix that integrates essential components and mechanisms in the development of knee and ankle exoskeletons. As a methodology, specialized databases in biomechanics were used that aided in the collection of research conducted between 2019 and 2022. The filtering process resulted in the selection of 37 investigations. Finally, it was concluded that innovations in exoskeletons contribute to patient rehabilitation and that there is still room for further improvement in the implementation of projects on a commercial scale and the development of new exoskeletons based on previous research.
    Acceso restringido temporalmente
  • A Strategy of Potential Fields and Neural Networks in the Control of an Autonomous Vehicle Within Dangerous Environments

    Chávez, Luisa; Cortez, Angel; Vinces, Leonardo (Springer Science and Business Media Deutschland GmbH, 2022-01-01)
    This article focuses on the development of an autonomous navigation system by generating real-time 3D maps of different urban environments with different properties within simulation software. This system used the Pioneer 3-DX vehicle, a LiDAR sensor, GPS, and a gyroscope. For the elaboration of the trajectory, the mathematical tool of artificial potential fields was used, which will generate an attractive field to a dynamic goal identified by the robot and repulsive to the obstacles present in the environment, recognized with great precision thanks to the use of a neural network. The topology neural network 8–16–32 was developed using forward propagation, reverse propagation, and gradient descent algorithms. By combining the tools of potential fields and neural networks, a path was traced through which the robotic system will be able to move freely under an off-center point kinematic control algorithm. Finally, a 3D map of the environment was obtained to provide information on the morphology and most outstanding characteristics of the deployment environment to users who use the system.
    Acceso restringido temporalmente
  • An Optimal Blade Design for Mini Wind Generators Mountable on the Spoiler of a Vehicle

    del Riego, Daniel Gonzalez; Gómez, Gabriel; Vinces, Leonardo (Springer Science and Business Media Deutschland GmbH, 2022-01-01)
    In this work, a mini wind turbine was developed that takes advantage of the kinetic energy of the winds around a moving car. The blades were designed according to inclination angles in order to capture as much energy as possible without greatly affecting the performance of the vehicle. Various proposals are presented according to the inclination of the angle of the blades with respect to the axis of the turbine. Likewise, the behavior of airflow over the blades will be studied using CFD techniques. In addition, it will be possible to obtain various parameters such as the drag coefficient that will serve for the optimal design of the turbines. Finally, experimentation will be carried out to evaluate the electrical energy that said turbine can produce when coupled to a mini generator. The results show that the most optimal design is proposal 2 because it is the one that produces more voltage with less drag force.
    Acceso restringido temporalmente
  • Design of a Pisco Sour Vending Machine Based on an Embedded System (Raspberry Pi)

    Achuy, Jesús; Arestegui, Renzo; Vinces, Leonardo (Springer Science and Business Media Deutschland GmbH, 2022-01-01)
    Pisco Sour is a traditional Peruvian cocktail made with pisco, egg white, sweetening syrup, and lemon juice. The preparation of this cocktail is made traditionally by a bartender following a recipe according to standardized preparation steps and quantities. The present research developed a vending machine to standardize the quantities of the ingredients, reduce the preparation time and guarantee the homogeneity of the product. The control is done with a Raspberry Pi 3, the dosing of the ingredients, through the development of different mechatronic systems, the pisco, sweetening syrup, and egg white enter through the use of peristaltic pumps to dispense exact amounts; it has a lemon squeezing and cutting system and, finally, the refrigeration system to keep all the ingredients fresh. The integration of the system avoids the loss of ingredients and reduces costs. As a result, the machine, compared to a bartender, maintains a uniform consumption of ingredients and a constant preparation time in a batch of more than 50 glasses of Pisco Sour.
    Acceso restringido temporalmente
  • A Design of a Spindle and Mathematical Calculations of the Speed Required for HDPE Plastic Extrusion and Recycled PETG Plastic to Obtain 40 kg/h of Filaments 3 mm Thick

    Robledo, Ana Fernanda; Gambini, Patsy; Vinces, Leonardo; Klusmann, Mirko (Springer Science and Business Media Deutschland GmbH, 2022-01-01)
    The present article proposes to show the mathematical design of a spindle and the speed that it requires, using mathematical formulas, to carry out the extrusion process of recycled PETG or HDPE plastic. Speed control in this process is of great importance because the quality of the filament to be obtained will depend on it. The study will be simulated on spindles and casing that are 3640 and 3890 mm long respectively and made of AISI 4140 steel. The spindle casing has 3 types of band resistors, which vary their temperature according to the material to be used: PETG plastic or HDPE plastic. Each band type resistor is found in each section that the spindle has; the screw has 3 stages called the feeding zone, the compression zone, and the dosing zone. The production capacity is 40 kg /h of PETG or HDPE plastic filament 3 mm thick. In conclusion, the present method consists of the mathematical design of a spindle for the extrusion of both materials, calculation of speeds, and the simulation of the behavior of the fluid.
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