Recent Submissions

  • Agile Logistics Management Model to Reduce Service Times and Improve Processes Using Lean Service Methodology in Companies in the Electrical Sector

    Palomino, Viviana Barriga; Raffo, Sotelo; Fernando, Juan Luis (Institute of Electrical and Electronics Engineers Inc., 2021-03-01)
    In recent years, according to Osinergmin, the production of electrical energy has increased up to 2.4%. This sector represents 1.5% of GDP and encompasses more than 6.6 million users, so its consumption continues at a growth rate for the country's development. This growth depends on the response time that companies today provide users; many of them operate their logistics management manually and traditionally, which leads to delays in service and dissatisfaction of both the external and internal clients. Likewise, companies in the sector, by working traditionally, do not use technology as a point of competitiveness within the market, since 60% of companies use software for their operations. To do this, an agile logistics management model is proposed that will consist of reducing purchase order attention time by 50% and improving internal processes and procedures under the Lean Service methodology. It will start by identifying the main problem and the expected objectives, then the Lean Service, Business Process Management and Agile Logistics tools will be executed, which will help to reestablish new processes and procedures.
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  • Predictive model to reduce the dropout rate of university students in Perú: Bayesian Networks vs. Decision Trees

    Medina, Erik Cevallos; Chunga, Claudio Barahona; Armas-Aguirre, Jimmy; Grandon, Elizabeth E. (IEEE Computer Society, 2020-06-01)
    This research proposes a prediction model that might help reducing the dropout rate of university students in Peru. For this, a three-phase predictive analysis model was designed which was combined with the stages proposed by the IBM SPSS Modeler methodology. Bayesian network techniques was compared with decision trees for their level of accuracy over other algorithms in an Educational Data Mining (EDM) scenario. Data were collected from 500 undergraduate students from a private university in Lima. The results indicate that Bayesian networks behave better than decision trees based on metrics of precision, accuracy, specificity, and error rate. Particularly, the accuracy of Bayesian networks reaches 67.10% while the accuracy for decision trees is 61.92% in the training sample for iteration with 8:2 rate. On the other hand, the variables athletic person (0.30%), own house (0.21%), and high school grades (0.13%) are the ones that contribute most to the prediction model for both Bayesian networks and decision trees.
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  • Mechanical and durability properties of recycled aggregate concrete with ternary binder system and optimized mix proportion

    Babalola, O. E.; Awoyera, P. O.; Tran, M. T.; Le, D. H.; Olalusi, O. B.; Viloria, A.; Ovallos-Gazabon, D. (Elsevier Editora Ltda, 2020-01-01)
    This study aimed to investigate the mechanical and durability properties of recycled aggre-gate concrete with a ternary binder system and optimized mix proportion. Two concretebatches were developed using a densified mix design approach (DMDA) to evaluate therequired mix proportions. Batch I have GGBS content varied at 0%, 10%, 20%, 30%, 40% and50% at constant w/b ratio of 0.45, while batch II concrete mix have varied water/binder ratios:0.3, 0.35, 0.4, 0.45 and 0.5 at constant GGBS replacement level of 30%. The fine aggregate(river sand) of the two batches was blended with fly ash at optimum loose packing density(FA + Sand) and superplasticizer (SP) was incorporated in the mix at a constant level of 1.4%.A control mix comprising of natural aggregate was also developed. The results obtainedshowcased the feasibility of producing structural concrete with recycled aggregates usingGGBS and fly ash. The mechanical and durability properties were best at 30% GGBS contentand 0.35 water/binder ratio. The DMDA for mix proportion adopted for RAC contributed sig-nificantly to improving its properties when compared to NAC, especially at the optimumobserved RAC mix with compressive strength of 52 MPa. Also, the mix demonstrated goodpermeability resistance in terms of chloride-ion ingress and capillary water absorption.
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  • Development of a hybrid system for automatic identification of brushed direct current motors

    Hamann, Franz; Mesones, Gustavo (Institute of Electrical and Electronics Engineers Inc., 2020-09-01)
    This work proposes a low-cost hybrid hardware and software system that, through a set of methods and nested while loop fitting algorithms, allows to automatically identify the electrical and mechanical parameters of a brushed direct current motor. The aim is to facilitate a tool that contributes to the development of motion control projects in which this type of actuator is used, automating and speeding up the identification process of the motor system aiming to reach 98% accuracy, in order to guarantee a good electrical and mechanical parameter estimates for the brushed direct current motor. To achieve the objective, a platform was developed consisting of a main interface programmed in Matlab and a data acquisition hardware based on a single-phase incremental optical encoder, an H-bridge, an optocoupler circuit, and a C language-programmed DSPIC30F2010. Both parts of the platform are interconnected through the authors' own serial communication protocol.
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  • Data collection of 3D spatial features of gestures from static peruvian sign language alphabet for sign language recognition

    Nurena-Jara, Roberto; Ramos-Carrion, Cristopher; Shiguihara-Juarez, Pedro (Institute of Electrical and Electronics Engineers Inc., 2020-10-21)
    Peruvian Sign Language Recognition (PSL) is approached as a classification problem. Previous work has employed 2D features from the position of hands to tackle this problem. In this paper, we propose a method to construct a dataset consisting of 3D spatial positions of static gestures from the PSL alphabet, using the HTC Vive device and a well-known technique to extract 21 keypoints from the hand to obtain a feature vector. A dataset of 35, 400 instances of gestures for PSL was constructed and a novel way to extract data was stated. To validate the appropriateness of this dataset, a comparison of four baselines classifiers in the Peruvian Sign Language Recognition (PSLR) task was stated, achieving 99.32% in the average in terms of F1 measure in the best case.
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  • Low cost semi-industrial 3GDL CNC vertical milling center design with non-ferrous metal machining capability

    Shimabukuro, Satoshi; Diaz, Piero; Vinces, Leonardo (Institute of Electrical and Electronics Engineers Inc., 2020-09-01)
    This work proposes the design of a low cost semi-industrial three degree of freedom CNC vertical milling center (VMC) with non-ferrous metal machining capabilities. The design seeks to mitigate the difficulties that acquiring a commercial industrial CNC can present, such as large dimensions, high cost and complications in its transportation within the plant. The proposed machine will be made up of 1 NEMA 23 stepper motor for each X, Y and Z axis, and will be controlled by open source firmware using an ATMEGA 2560 microcontroller. Likewise, the working area will be 320x180mm and will have a precision 100 microns with semi industrial capacities. This design is aimed at small and medium-sized companies that are looking for a low cost non-ferrous CNC milling machine that in turn has the quality, performance and precision of an industrial one.
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  • DPF: App for diagnosing the psychological profile of a possible feminicide

    Ramirez, Ivette; Mauricio, David (Institute of Electrical and Electronics Engineers Inc., 2020-03-01)
    The most visible expression of violence against women is feminicide. The majority of feminicide cases are committed by the partner or former partner of the victim. This involves ongoing domestic abuses, threats or intimidation, sexual violence or situations in which women have less energy or resources than their partner. In addition, clinics, public hospitals or private health institutes have mental health evaluation processes, however, these flows are usually carried out in several sessions, which causes a delay in the diagnosis. In this article, a mobile application that supports psychologists or psychiatrists during the process of the psychological profile diagnosis is proposed. The system contains a questionnaire and psychological tests, in this way, based on the patient responses, indicators, and metrics, the psychological profile of the assailant is obtained as a result. The use of the system in 40 patients shows that the selection times and the psychological test qualification have improved, as well as the interpretation of the results and the total process of diagnosis, which, when obtained at opportune time, allows specialists to prevent the victim from a possible feminicide.
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  • Mobile solution to optimize process for healthcare delivery referral in pediatric patients with a presumptive cancer diagnosis

    Francia Bacilio, Eduardo Alberto; Perez Rosas, Joseph Steven; Armas-Aguirre, Jimmy (Institute of Electrical and Electronics Engineers Inc., 2020-10-21)
    In this paper, we propose a mobile solution to optimize the medical referral process for pediatric patients with presumptive cancer diagnosis. This proposal allows the automation of the process through the identification of the main gaps that are covered by the following functionalities: (1) Registration and interaction of the actors in the process, (2) Support for timely diagnosis with first-hand information, (3) Creation of request tickets and personalized medical appointments, and (4) Creation of reports on the response time and compliance with the process. The proposal is described in three sections: (1) The automation of the medical referral process, (2) The functionalities of the mobile solution, and (3) the designed technology architecture. The validation of the proposal was carried out in a social health insurance in Lima-Peru, with data and information of the process obtained by the institution. The measurement was made through the mobile solution which allowed obtaining the response times of the process with the main actors such as the pediatric doctor, an oncology specialist and a pediatric patient's guardian. The results showed that the time of the referral process is optimized between an interval of [95%-97.5%], which mainly generates a social benefit to the community by assuring a timely treatment of the pediatric cancer patient, based on diagnosis and early care.
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  • Feature Extraction with Video Summarization of Dynamic Gestures for Peruvian Sign Language Recognition

    Neyra-Gutierrez, Andre; Shiguihara-Juarez, Pedro (Institute of Electrical and Electronics Engineers Inc., 2020-09-01)
    In peruvian sign language (PSL), recognition of static gestures has been proposed earlier. However, to state a conversation using sign language, it is also necessary to employ dynamic gestures. We propose a method to extract a feature vector for dynamic gestures of PSL. We collect a dataset with 288 video sequences of words related to dynamic gestures and we state a workflow to process the keypoints of the hands, obtaining a feature vector for each video sequence with the support of a video summarization technique. We employ 9 neural networks to test the method, achieving an average accuracy ranging from 80% and 90%, using 10 fold cross-validation.
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  • Comprehensive Management model for increasing the competitiveness of small and medium artisan jewelry enterprises in Peru

    Mejia-Pajuelo, K.; Solis-Galdos, K.; Mauricio-Sanchez, D.; Raymundo-Ibañez, C.; Perez, M. (Institute of Physics Publishing, 2020-04-06)
    Today, many small and medium enterprises (SMEs) either go out of business or see their growth being stalled due to poor activity management and organization, which is why they are often unprepared to engage against large companies leading their competitive markets. This study aims to develop a comprehensive management model, exclusively designed for SMEs in the jewellery sector, which may encompass all areas that create value and make them competitive. The development of this comprehensive management model was deployed in 21 steps classified into three tiers based on three major philosophies. This study uses lean manufacturing to identify activities that add value and reduce waste, and lean green was used to provide the environmental care and culture approach required for a friendly and fair workplace environment. The selected scenario is a jewelry workshop, wherein techniques and tools were completely applied and yielded a 20% increase in operating performance and a 15% increase in annual return.
    Acceso abierto
  • Design of a multi-hole cylindrical extruder, driven by a linear actuator and used for the formation of bakery dough

    Padilla, Cesar; Vivanco, Aida; Vinces, Leonardo; Klusmann, Mirko (Institute of Electrical and Electronics Engineers Inc., 2020-09-01)
    The present work proposes a solution for the conditioning of bakery dough with the purpose of reducing costs by replacing manual work with a mechanized system that will be a piston extruder. In the process, the mass will be contained within a 304 stainless steel prismatic matrix with multiple outlet openings for optimization of the production line. The mechanical properties of bread dough were studied for the design of the platform and the estimation of the necessary compression force. A linear actuator was used, which exerts a compression force of 6 kN, which maximum linear speed is 5 mm/s. Validation of results will be carried out through simulated tests with a density mass of 1452.9 kg/m3. The system is composed of a linear actuator that performs the function of an extruder, followed by a pneumatic wire cutter. The process continues with a conveyor belt and ends with the injection of sesame seeds.The fundamental contribution is in the design of the extrusion chamber, since it allows the flow of the mass leaving minimal residue.
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  • Design of a system for the external washing and winding of fire hoses composed of a polyester and rubber jacket

    Paredes Farfan, Gustavo Alonso; Moises Neira Verastegui, Felix; Vinces Ramos, Leonardo Nikolai; Fortunato Oliden Martinez, Jose (Institute of Electrical and Electronics Engineers Inc., 2020-09-01)
    This work describes the design of an external cleaning system for fire hoses with an external polyester or rubber jacket. This device is intended as a tool for simple and effective external cleaning. Within the capabilities of the equipment is the washing and winding of a hose. This is made up of a washing chamber, which contains a group of sprinklers inside with a brushing system and a winding mechanism with a platform designed to carry out the type of winding snail or single donut. Cleaning can be applied to both types of coatings with the action of a selector switch, the variables involved are adjusted accordingly. The system aims to perform its functions without damaging the composition of the hose lining material, in addition to reducing the space required during cleaning.
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  • A Vibratory Conveying System for Automatic Sorting of Lima Beans through Image Processing

    Injante, Hugo; Gutierrez, Esteban; Vinces, Leonardo (Institute of Electrical and Electronics Engineers Inc., 2020-09-01)
    In order to comply with lima beans peruvian export standards, this study develops an automatic sorter machine. This system uses vibratory conveying to linearly move the grains and to allow their faces to rotate. In addition, image processing algorithms were used for the detection and rejection of defective lima beans. After performing 2200 sorting tests, an industrial performance with an efficiency of 96.81% in acceptance and 95.26% in product rejection was obtained
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  • Telepresence Technological Model Applied to Primary Education

    Yovera Chavez, David; Villena Romero, Gonzalo; Barrientos Villalta, Alfredo; Cuadros Galvez, Miguel (Institute of Electrical and Electronics Engineers Inc., 2020-09-01)
    This research paper proposes a low-cost telepresence technological model focused on primary education. Its aim is to give students a new resource/communication channel for classes, which would be used when they cannot attend school due to health problems that do not affect their learning process. This solution seeks students to not be passive listeners during a session, but that they interact with their classmates and teachers during class. To validate the model, a telepresence platform based on WebRTC was developed. It was tested in three schools in different geographical areas belonging to socioeconomic sector C, collecting data from the students who tested the tool, as well as from classmates, teachers, and parents.
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  • Prediction of financial product acquisition for Peruvian savings and credit associations

    Vargas, Emmanuel Roque; Cadillo Montesinos, Ricardo; Mauricio, David (Institute of Electrical and Electronics Engineers Inc., 2020-09-30)
    Savings and credit cooperatives in Peru are of great importance for their participation in the economy, reaching in 2019, deposits and deposits and assets of more than 2,890,191,000. However, they do not invest in predictive technologies to identify customers with a higher probability of purchasing a financial product, making marketing campaigns unproductive. In this work, a model based on machine learning is proposed to identify the clients who are most likely to acquire a financial product for Peruvian savings and credit cooperatives. The model was implemented using IBM SPSS Modeler for predictive analysis and tests were performed on 40,000 records on 10,000 clients, obtaining 91.25% accuracy on data not used in training.
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  • Blockchain-based Website Solution for Controlling the Authorized Sale of Drugs in Peru

    Garcia, Herbert Melendez; Cortez, Manuel Maza; Amaya, Edgar Diaz (Institute of Electrical and Electronics Engineers Inc., 2020-10-21)
    Drug counterfeiting or adulteration is a worldwide concern due to the serious consequences they generate, especially in the health and economic sectors. This concern is greater in Peru, as it is among the top five countries with drug counterfeiting incidents in the Americas, according to a study carried out in 2018 by the Pan American Health Organization. In this paper, we present our project, which aims at implementing a technological solution that provides reliable information on the origin and authenticity of these products in Peru to the drug consumer user, preserving the security and integrity of the exposed information using Blockchain technology. Likewise, it allows showing detailed drug characteristics, such as: composition, pharmaceutical form, active ingredients, among other relevant information. The technological solution, proposed by our project, aims at publishing the commercial origin of drugs from their sale in laboratories and distributors to the sale to the public in pharmacies. In the development of this paper, a bibliographic review of research on the use of blockchain technology is presented, as well as its benefits in the health sector, the architecture used by the system and the conceptual commercialization chain that supports it, and the qualitative and quantitative validation for the drug query service is shown.
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  • Extended Model for the Early Skin Cancer Detection Using Image Processing

    Poma, Jonathan Miguel Campos; Dominguez, Emily Yanira De La Cruz; Armas-Aguirre, Jimmy; Gonzalez, Leonor Gutierrez (IEEE Computer Society, 2020-06-01)
    In this research paper, we proposed an extended model for the early detection of skin cancer... The purpose is reduce the waiting time to obtaining a diagnosis, in addition, the function of the dermatoscope has been digitized by using a Smartphone and magnifying lenses as an accessory the mobile device. The proposed model has five phases: 1. The patient is attended by a general practitioner or nurse previously trained in any health center which has WiFi or mobile network connectivity to record their data and capture the skin lesion that will be analyzed. 2) The image will be in the cloud storage, which at the same time feeds an exclusive access website of dermatologists.3) Images are analyzed in real time using an image recognition service provided by IBM, which is integrated into a cloud-hosted web platform and an-Android application. 4)The result of the image processing is visualized by the dermatologist who makes a remote diagnosis.5) This diagnosis is received by the general practitioner or nurse, responsible for transmitting the diagnosis and treatment to the patient. This model was validated in a group of 60 patients, where 28 suffer from skin cancer in the early stage, 12 in the late stage and 20 are healthy patients, in a network of clinics in Lima, Peru. The obtained result was 97.5% of assertiveness on the analyzed skin lesions and 95% in healthy patients.
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  • Technological solution for the identification and reduction of stress level using wearables

    Raymondi, Luis Guillermo Antezana; Guzman, Fabricio Eduardo Aguirre; Armas-Aguirre, Jimmy; Agonzalez, Paola (IEEE Computer Society, 2020-06-01)
    In this article, a technological solution is proposed to identify and reduce the level of mental stress of a person through a wearable device. The proposal identifies a physiological variable: Heart rate, through the integration between a wearable and a mobile application through text recognition using the back camera of a smartphone. As part of the process, the technological solution shows a list of guidelines depending on the level of stress obtained in a given time. Once completed, it can be measured again in order to confirm the evolution of your stress level. This proposal allows the patient to keep his stress level under control in an effective and accessible way in real time. The proposal consists of four phases: 1. Collection of parameters through the wearable; 2. Data reception by the mobile application; 3. Data storage in a cloud environment and 4. Data collection and processing; this last phase is divided into 4 sub-phases: 4.1. Stress level analysis, 4.2. Recommendations to decrease the level obtained, 4.3. Comparison between measurements and 4.4. Measurement history per day. The proposal was validated in a workplace with people from 20 to 35 years old located in Lima, Peru. Preliminary results showed that 80% of patients managed to reduce their stress level with the proposed solution.
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  • Information security risk management model for mitigating the impact on SMEs in Peru

    Garay, Daniel Felipe Carnero; Marcos Antonio, Carbajal Ramos; Armas-Aguirre, Jimmy; Molina, Juan Manuel Madrid (IEEE Computer Society, 2020-06-01)
    This paper proposes an information security risk management model that allows mitigating the threats to which SMEs in Peru are exposed. According to studies by Ernst Young, 90% of companies in Peru are not prepared to detect security breaches, and 51% have already been attacked. In addition, according to Deloitte, only 10% of companies maintain risk management indicators. The model consists of 3 phases: 1. Inventory the information assets of the company, to conduct the risk analysis of each one; 2. Evaluate treatment that should be given to each risk, 3. Once the controls are implemented, design indicators to help monitor the implemented safeguards. The article focuses on the creation of a model that integrates a standard of risk management across the company with a standard of IS indicators to validate compliance, adding as a contribution the results of implementation in a specific environment. The proposed model was validated in a pharmaceutical SME in Lima, Peru. The results showed a 71% decrease in risk, after applying 15 monitoring and training controls, lowering the status from a critical level to an acceptable level between 1.5 and 2.3, according to the given assessment.
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  • Technological Architecture with Low Cost Sensors to Improve Physical Therapy Monitoring

    Zambrano, Ericsson Ocas; Munoz, Kemeli Reyes; Armas-Aguirre, Jimmy; Gonzalez, Paola A. (IEEE Computer Society, 2020-06-01)
    In this article, we propose a wireless monitoring solution for gait parameters using low-cost sensors in the physical rehabilitation of patients with gait disorders. This solution consists of infrared speed sensors (IRSS), force-sensing Resistor (FSR) and microcontrollers placed in a walker. These sensors collect the pressure distribution on the walker's handle and the speed of the steps during therapy session. The proposal allows to improve the traditional physiotherapy session times through a mobile application to perform the monitoring controlled by a health specialist in real time. The proposed solution consists of 4 stages: 1. Obtaining gear parameters, 2. Data transmission, 3. Information Storage and 4. Data collection and processing. Solution was tested with 10 patients from a physical rehabilitation center in Lima, Peru. Preliminary results revealed a significant reduction in the rehabilitation session from 25 to 5.2 minutes.
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