Tópicos Sugeridos dentro de su búsqueda.
Tópicos Sugeridos dentro de su búsqueda.
Buscar alternativas:
automatic process » automation process (Expander búsqueda), automated process (Expander búsqueda), automatizar procesos (Expander búsqueda)
a automatic » a automatico (Expander búsqueda), _ automatic (Expander búsqueda), way automatic (Expander búsqueda)
automatic process » automation process (Expander búsqueda), automated process (Expander búsqueda), automatizar procesos (Expander búsqueda)
a automatic » a automatico (Expander búsqueda), _ automatic (Expander búsqueda), way automatic (Expander búsqueda)
1
artículo
Publicado 2020
Enlace
Enlace
El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
2
artículo
Publicado 2015
Enlace
Enlace
In order to set realistic goals and carry out its functions effectively, the auditors of automatic data processing (EDP), should know what they expect their companies. Possess a clear understanding of the objectives of the administration. This booklet expresses these issues and describes some responsibilities that must exist between the EDP auditor and management in enterprises.
3
artículo
Publicado 2021
Enlace
Enlace
The purpose of this article is to quantify to what extent the design of an automatic control system for the clay sand granulation process will improve the percentage of homogeneity in the manufacture of ceramic tiles, through the analysis of the percentage of dust moisture. For which the process under study is initially described, identifying its stages, the control strategy to be used and its main characteristics. After conducting the research, it was determined that from the proposed control strategy, in which the flow of clay sand is controlled through frequency variators and the sequential injection of water spray through electric nozzles, it was achieved improve the homogeneity percentage by 94.78%, achieving that the error between the desired value and the present value of the humidity percentage is 0.015%, the approximation to the desired value or setpoint value being significant....
4
objeto de conferencia
Publicado 2021
Enlace
Enlace
El texto completo de este trabajo no está disponible en el Repositorio Académico UPN por restricciones de la casa editorial donde ha sido publicado.
5
tesis de grado
Publicado 2024
Enlace
Enlace
This research presents the design of an automatic machine for post-harvest garlic processing, integrating 3 fundamental processes: garlic stalk cutting, garlic shelling and finally garlic peeling, in order to optimize production, improve quality and reduce costs. The development of the research is confined to farmers in the regions of Peru, contemplating the optimization and automation of 3 garlic processes, in order to allow a faster processing and relieve the farmer's workload. The initial part of the design is the cutting of garlic stalks, followed by the shelling of garlic cloves and then the peeling process, the processes have a system of vacuuming of waste and residues to obtain better product quality. The design is validated through previous research and with mechanical and electronic design software, concluding a significant improvement of 9.15% and 96% in the efficiency and qual...
6
artículo
Publicado 2016
Enlace
Enlace
This paper describes the implementation of a prototype automated glass cutting, in order to increase the level of product quality and productivity in a glass company. The prototype was developed with actuators and sensors, which are connected to a programmable logic controller (PLC), so it can control the process automatically, while also reducing bottlenecks and the percentage of wastage in the cutting process glass. This project was undertaken by the students Itala Condezo Collado and Susana Lachira Alvines in the course Manufacturing Processes II Computer-assisted from the Program Industrial Engineering at Universidad Ricardo Palma.
7
artículo
Publicado 2016
Enlace
Enlace
This paper describes the implementation of a prototype automated glass cutting, in order to increase the level of product quality and productivity in a glass company. The prototype was developed with actuators and sensors, which are connected to a programmable logic controller (PLC), so it can control the process automatically, while also reducing bottlenecks and the percentage of wastage in the cutting process glass. This project was undertaken by the students Itala Condezo Collado and Susana Lachira Alvines in the course Manufacturing Processes II Computer-assisted from the Program Industrial Engineering at Universidad Ricardo Palma.
8
artículo
Publicado 2021
Enlace
Enlace
The objective of this article is to describe the satisfaction of students with the use of technological simulation tools in learning in the automatic process control course, as part of the pedagogical update in the context of dis-tance education. The Academic Satisfaction Scale (ESA) was used as a meas-urement instrument, the reliability of the data was performed through Cronbach's alpha, giving a consistencyvalue of 0.949. When developing the re-search, it was determined that 56.8% of the students are satisfied with the aca-demic experience of their learning using technological simulation tools in the virtual environment. On the other hand, 11.4% of students indicated that the content transmitted in this course does not excite them and they do not feel comfortable, these results will allow generating feedback to the teacher in their pedagogical techniques and teaching methods. Likewise,...
9
artículo
Morris water maze (MWM) test is widely used to evaluate the learning and memory deficits in rodents. Image processing and pattern recognition can be used to analyse videos and recognize automatically the tracking in MWM. There are several commercial and free access software that allows analyzing the behavioral tasks although they also have limitations such as automation, cost, user intervention among other things. The aim of this paper was to develop a new image processing technique to automatically analyse the track of the rat in the MWM, which we called RatsTrack. The MWM test was performed with an animal model for Alzheimer, and the videos were recorded to measure the distance, time, and speed. The segmentation method based on the projection of the video frames was made for pool identification, eliminating the rat, while conserving the shape of the pool. Then, the Hough transformation...
10
artículo
Treatment of data for the qualification of wines, this report details the process followed, where the Python programming language was used, for the analysis of the data of the dataset, the Google Colab server was used to execute the algorithms in the cloud since the team considered that the speed of data analysis in Google Collab is faster. Neural networks have the ability to learn and perform tasks based on an initial training called adaptive learning and are also fault-tolerant.
11
artículo
Publicado 2024
Enlace
Enlace
In current supply chains, the use of AIDC technologies allows the information that flows to be standardized and reliable, as well as obtaining a series of advantages related to saving time and costs. In Cuba, the use of these technologies is not regulated by national laws and most companies do not use them, considering ignorance of their effectiveness as the cause. This article analyzes AIDC technologies: specifically, bar code systems and radio frequency systems, their operation and benefits of their use in supply chains. Based on the existing need, a tool was designed based on a procedure that establishes a guide for the selection of technologies to be implemented in logistics processes. The tool designed is used for Case Studies to know its application and mode of use.
12
artículo
Publicado 2024
Enlace
Enlace
In current supply chains, the use of AIDC technologies allows the information that flows to be standardized and reliable, as well as obtaining a series of advantages related to saving time and costs. In Cuba, the use of these technologies is not regulated by national laws and most companies do not use them, considering ignorance of their effectiveness as the cause. This article analyzes AIDC technologies: specifically, bar code systems and radio frequency systems, their operation and benefits of their use in supply chains. Based on the existing need, a tool was designed based on a procedure that establishes a guide for the selection of technologies to be implemented in logistics processes. The tool designed is used for Case Studies to know its application and mode of use.
13
artículo
The project describes the design and implementation of an automatic system for detecting defects in plastic crates for glass bottles. In all companies there is damage and defects in their cases, crates, or containers due to constant use, as they are reusable, and therefore this problem causes various economic losses and a decrease in production, especially in beverage companies. This system was designed to solve and prevent the crates from having defects in their base and containing waste inside, to obtain less product losses in the bottle packaging area. In this research, it is proposed to design the automatic system, which consists of training a convolutional neural network with a database of 136 photographs of waste and defects in the boxes that will be taken by the HQ Raspberry Camera; then programmed into the Raspberry the process of activating the engine so that the box is moved to...
14
artículo
Publicado 2017
Enlace
Enlace
New equipment was designed and developed to evaluate the physical characteristics of animal fibres, based on an automatic digital analysis system (ADAS) that allows the capture of a series of real-time images. In the development of the mechanical component, a design tool was used that allows visualization, simulation, and documentation of the product.
15
artículo
This work proposes an electronic equipment which identifies forest seeds for academic and research purposes. Existing integral solutions are prohibitively costly for silviculture laboratories used in forestry teaching. Thus, they must identify the seed by visual inspection, causing visual fatigue and results with low reliability. The state of the art proposes solutions using support vector machines, achieving a 98.82% accuracy for sunflower seeds. Other solutions extract morphological attributes of mussel seeds to identify up to 5 species with an accuracy of 95%. Most solutions only identify a single seed type with similar sizes. In this context, an electronic equipment is developed. It consists of an image acquisition enclosure, an electromechanical device to move a camera so different sizes of seeds can be imaged at different distances, and a single-board computer to control the image ...
16
artículo
Publicado 2017
Enlace
Enlace
Nutritional deficiencies in coffee plants affect production and therefore it is important its early identification. The current research is focused on the automatic identification of nutritional deficiencies of Boron (B), Calcium (Ca), Iron (Fe) and Potassium (K), by using shape and texture descriptors in images of coffee tree leaves. After the acquisition of images containing coffee tree leaves, they are subjected to a segmentation process using Otsu’s method. Afterwards, for the resulting images they are applied the descriptors Blurred Shape Model (BSM) and Gray-Level Co-occurrence Matrix (GLCM) for extracting characteristics of shape and texture. Finally, the obtained image representation is used for training KNN, Naïve Bayes and Neural Network classifiers by using the extracted features, in order to infer the type of deficiency presented in each analyzed image. The experimental re...
17
artículo
Publicado 2018
Enlace
Enlace
Pneumonia is one of the major causes of child mortality, yet with a timely diagnosis, it is usually curable with antibiotic therapy. In many developing regions, diagnosing pneumonia remains a challenge, due to shortages of medical resources. Lung ultrasound has proved to be a useful tool to detect lung consolidation as evidence of pneumonia. However, diagnosis of pneumonia by ultrasound has limitations: it is operator-dependent, and it needs to be carried out and interpreted by trained personnel. Pattern recognition and image analysis is a potential tool to enable automatic diagnosis of pneumonia consolidation without requiring an expert analyst. This paper presents a method for automatic classification of pneumonia using ultrasound imaging of the lungs and pattern recognition.
18
objeto de conferencia
Publicado 2017
Enlace
Enlace
Pneumonia is one of the major causes of child mortality, but it is curable if one can achieves early diagnostics. Unfortunately, in developing countries there is a lack of infrastructure and medical experts in rural areas to provide the required diagnostics opportunely. Lung ultrasound echography has proved to be an important tool to detect lung consolidates as evidence of pneumonia. The use of ultrasound to detect pneumonia is limited by the image analysis for interpretation, which is carried by human experts. Pattern recognition and image analysis is a potential tool to facilitate recognition of pneumonia consolidates in absence of medical experts for automatic diagnostics. To perform an automatic analysis of lung ultrasound images for pneumonia detection, the noise introduced by the image portion of the skin, notably complicates the processing and interpretation. This paper presents a...
19
artículo
Publicado 2020
Enlace
Enlace
El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
20
documento de trabajo
Publicado 2022
Enlace
Enlace
The correct identification of timber species is a complicated task for the wood industry and government institutions regulating the different laws that ensure legal and transparent commerce. Currently, experts perform this process using the organoleptic characteristics of the wood. However, the methodology used is time-consuming and limited to environmental conditions. Moreover, it has a scalability issue since acquiring this specific knowledge and experience has a slow learning curve. On the other hand, deep learning models have evolved as possible solutions for process automation. Therefore, this paper explores convolutional neural network models suited to run on edge devices. The present study created a database with 25k images of 25 timber species from the Peruvian Amazon. We trained-validated multiple lightweight models (less than 5M). The experiments were made using a repeated stra...
