The automation of food processes increases the quality, productivity, and economy of the companies. This study aimed at the development of a Computer Vision System (CVS) to classify lemons in ...real-time according to their diameter. The CVS consisted of a software, coded in Java programming language, which covers the acquisition, pre-processing, segmentation, description, recognition, and interpretation of the images. The classification criteria were in accord with the CODEX STAN 213 standard for lime-lemon. The CVS reached a 0% error in the classification of the diameter of the lemons and required 0.33 seconds as processing time to detect and classify each lemon. The CVS showed high performance in the automatic classification of lemons according to their diameter. This CVS could avoid the disadvantages of manual classification.
Natural herbal teas are one of the three most consumed beverages in the world, and despite their frequent use in the cosmetic, food, and pharmaceutical industries, there is still much to about them. ...This study aimed to determine the functional properties of tea infusions made from dried
(EA),
(DM), and
(M) grown in the Peruvian Andes. Next, using a simplex design with unrestricted centroid amplified centroid, 12 combinations were obtained for the combination of dried leaves with EA: 0∼100%, DM: 0∼100%, and M: 0∼100% optimal combination of EA: 6.59%, DM: 84.62%, and M: 8.79% maximizes functional components for total polyphenols (2,831.18 mg EAG/100 g), flavonoids (37.73 mg CAT/g), and antioxidant capacity (145.99 μmol Trolox/g). It can be confirmed that dried mixtures of these plants made into tea are a significant source of bioactive molecules, have a tolerable flavor, and can be used for therapeutic purposes when consumed.
The aim of this work was to improve the classification of green asparagus in an agro-export company by way of a Computer Vision System (CVS). Thus, an image analysis application was developed in the ...MATLAB® environment to classify green asparagus according to the absence of white spots and the width of the product. The CVS performance was compared with a manual classification using the error in the classification as the quality indicator; the yield from the raw material (%) and line productivity (kg/h) as the production indicators; and the net present value (USD) and internal rate of return (%) as the economic indicators. The CVS classified the green asparagus with 2% error; improved the yield from the raw material from 43% to 45%, and line productivity from 5 to 10 kg/h; and increased the net present value by 102,609.00 USD, yielding an Internal Rate of Return of 156.3%, much higher than the Opportunity Cost of the Capital (8.6%). Hence the classification of green asparagus by a CVS is an efficient and profitable alternative to manual classification.
Evaluation of the Digital Competences of University Professors Raymunda Pedro Huaman, Liz Sofia; Peralta Lujan, Jose Luis; Salazar Campos, Juan Orlando
2023 International Symposium on Accreditation of Engineering and Computing Education (ICACIT),
2023-Nov.-2
Conference Proceeding
In this research, we measured the digital competence levels of Peruvian university professors using the DigCompEdu framework. We use a self-assessment questionnaire proposed by the framework to ...collect the data directly. As a result, 47.06% professors are at the leadership level and 35.29% professors are at the expertise level. In addition, it is important to highlight that within the six areas in which the twenty-two competences are divided, the one that obtained the lowest results is area 04 called Assessment in which we recommended to improve their digital competences.
Perú se ha convertido en uno de los principales productores de palta Hass, en este aspecto una;
etapa fundamental es la clasificación, esta situación conllevó al planteamiento del presente trabajo ...de;
investigación el cual tuvo por objetivo diseñar un modelo basado en Redes Neuronales Artificiales que;
permita la clasificación de dicha fruta considerando como criterios el estado de madurez fisiológica y;
la evaluación de los daños y defectos que presente, dichas consideraciones están contempladas en la;
Norma Técnica Peruana NTP 011.018-2018.;
En la etapa inicial se diseñó un entorno controlado con un nivel de luminosidad frío-día, el cual;
permitió la adquisición de imágenes, construyendo un dataset de 310 imágenes etiquetadas, sobre el;
cual se aplicó Data Augmentation.;
Luego se procedió a definir la parametrización de una arquitectura de red neuronal;
convolucional, obteniendo un modelo de CNN sobre el cual se fueron evaluando 4 criterios, la;
resolución de las imágenes de entrada, la cantidad de capas de convolución y pooling, el factor de;
aprendizaje y la cantidad de épocas de entrenamiento.;
Finalmente se mostraron los resultados obtenidos, definiendo la resolución de la imágenes de;
entrada en 64 x 64 pixeles, 3 capas de convolución acompañas de pooling, con máscaras de 3x3 y 2x2;
respectivamente y con funciones de activación ReLU, pasando luego a una capa capa fully connected,;
la cual se conectó a una capa oculta y ésta a la capa de salida, la cual constó de 4 neuronas bajo la;
representación One Hot Encoding, con una función de activación softmax, y un factor de aprendizaje;
de 0.001, utilizando en su entrenamiento 50 épocas. Luego de evaluar el modelo parametrizado se;
alcanzó una identificación correcta de las imágenes de palta Hass con una exactitud de 87.5%.
Peru has become one of the main producers of Hass avocado, in this aspect a fundamental stage;
is the classification, this situation led to the approach of this research work which aimed to design a;
model based on Artificial Neural Networks that allows the classification of said fruit considering as;
criteria the state of physiological maturity and the evaluation of the damages and defects that it presents,;
said considerations are contemplated in the Peruvian Technical Standard NTP 011.018-2018.;
In the initial stage, a controlled environment was designed with a cold-day light level, which;
allowed the acquisition of images, building a dataset of 310 labeled images, on which Data;
Augmentation was applied.;
Then we proceeded to define the parameterization of a convolutional neural network;
architecture, obtaining a CNN model on which 4 criteria were evaluated, the resolution of the input;
images, the number of convolution and pooling layers, the learning factor and the number of training;
seasons.;
Finally, the results obtained were shown, defining the resolution of the input images in 64 x 64;
pixels, 3 convolution layers accompanied by pooling, with 3x3 and 2x2 masks respectively and with;
ReLU activation functions, then moving to a fully layer layer connected, which was connected to a;
hidden layer and this to the output layer, which consisted of 4 neurons under the One Hot Encoding;
representation, with a softmax activation function, and a learning factor of 0.001, using in its training;
50 epochs. After evaluating the parameterized model, a correct identification of the Hass avocado;
images was achieved with an accuracy of 87.5%.
Trabajo de investigación
Hereditary spastic paraplegia is a heterogeneous group of genetic disorders characterized by degeneration of the corticospinal tracts, coursing with progressive weakness and spasticity of the lower ...limbs. To date, there are no effective treatments for progressive deficits or disease-modifying therapy for those patients. We report encouraging results for spastic paraparesis after spinal cord stimulation.
A 51-year-old woman suffering from progressive weakness and spasticity in lower limbs related to hereditary spastic paraplegia type 4 underwent spinal cord stimulation (SCS) and experienced also significant improvement in motor function. Maximum ballistic voluntary isometric contraction test, continuous passive motion test and gait analysis using a motion-capture system were performed in ON and OFF SCS conditions. Neurophysiologic assessment consisted of obtaining motor evoked potentials in both conditions.
Presurgical Spastic Paraplegia Rating Scale (SPRS) score was 26. One month after effective SCS was initiated, SPRS went down to 15. At 12 months follow up, she experienced substantial improvement in motor function and in gait performance, with SPRS scores 23 (OFF) and down to 20 (ON). There was an increased isometric muscle strength (knee extension, OFF: 41 N m; ON: 71 N m), lower knee extension and flexion torque values in continuous passive motion test (decrease in spastic tone) and improvement in gait (for example, step length increase).
Despite being a case study, our findings suggest innovative lines of research for the treatment of spastic paraplegia.
•There aren't effective treatments for progressive deficits at SPG4.•In a case report, we report encouraging results for SPG4 after SCS.•The patient had 42% and 23% improvement in SPRS at 1 and 12 months after SCS, respectively.•SCS improve isometric muscle strength and gait and decrease spasticity.
En el Perú se ha observado una desaceleración económica que ha afectado el crecimiento del sector construcción, si a esto sumamos la falta de gestión para proyectos de infraestructura por la falta de ...capacidad de las autoridades de turno, esta desaceleración del país ha afectado el sector público como privado generado por escándalos de corrupción en el país. A pesar de este clima adverso, el país mantiene una economía estable y una proyección de crecimiento positivo. ;
;
Para el gobierno es muy importante impulsar el crecimiento económico a través del desarrollo de infraestructura y la generación de inversión, por ello ha creado una serie de medidas que generan nuevas formas de inversión inmobiliaria a través del mercado bursátil. Es así que desde el año 2016 ha venido publicando una serie de normas que crean y regulan los Fideicomisos de Titulización para Inversión en Renta de Bienes Raíces (FIBRA), que en otros países son conocidos como REITs. ;
;
Con el desarrollo de este trabajo de investigación daremos a conocer esta nueva forma de financiamiento alternativo para inversión en bienes inmobiliarios denominado FIBRA, el cual democratiza el sector inmobiliario, además de ofrecer una serie de beneficios tributarios para inversionistas y para los propietarios de los inmuebles, quienes podrán convertir su predio en un activo líquido y diversificar su inversión.
In Peru, there has been an economic slowdown that has affected the growth of the construction sector, if we add to this the lack of management for infrastructure projects due to the lack of capacity of the authorities on duty, this slowdown in the country has affected the public sector as private generated by corruption scandals in the country. Despite this adverse climate, the country maintains a stable economy and a positive growth projection. ;
;
It is very important for the government to boost economic growth through infrastructure development and investment generation, which is why it has created a series of measures that generate new forms of real estate investment through the stock market. Thus, since 2016, it has been publishing a series of regulations that create and regulate the Securitization Trusts for Real Estate Investment Investment (FIBRA), which in other countries are known as REITs. ;
;
With the development of this research work we will announce this new form of alternative financing for real estate investment called FIBRA, which democratizes the real estate sector, in addition to offering a series of tax benefits for investors and for property owners, who can convert their property into a liquid asset and diversify their investment.
Trabajo de investigación
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