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meat processing » text processing (Expander búsqueda), event processing (Expander búsqueda), a processing (Expander búsqueda)
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meat processing » text processing (Expander búsqueda), event processing (Expander búsqueda), a processing (Expander búsqueda)
data processing » image processing (Expander búsqueda)
1
artículo
The current research aims to reassess no traditional meats that in sausage shape get to entry in the local market, according to their nutritional qualities, such as low cholesterol and high protein, which shows the alpaca meat against pork, and also revalue mutton. The presence of Gigartina chamissoi (seaweed) in the formulation is important as a source of iodine, complex polysaccharides (fiber) and natural gelling agents which increase its biological value. Gigartina chamissoi besides raise its nutritional value, constitutes a prebiotic product for counter propensities against cancer cells in tissues such as mucous (esophagus, stomach), glandular (breast) and glandularvessels (prostate). To this effect has been developed an experimental design allowing manufacture sausages in more optimal hygienic conditions. The proximal chemical analysis of the finished product (Table 9) showed that F...
2
artículo
The current research aims to reassess no traditional meats that in sausage shape get to entry in the local market, according to their nutritional qualities, such as low cholesterol and high protein, which shows the alpaca meat against pork, and also revalue mutton. The presence of Gigartina chamissoi (seaweed) in the formulation is important as a source of iodine, complex polysaccharides (fiber) and natural gelling agents which increase its biological value. Gigartina chamissoi besides raise its nutritional value, constitutes a prebiotic product for counter propensities against cancer cells in tissues such as mucous (esophagus, stomach), glandular (breast) and glandularvessels (prostate). To this effect has been developed an experimental design allowing manufacture sausages in more optimal hygienic conditions. The proximal chemical analysis of the finished product (Table 9) showed that F...
3
artículo
Publicado 2025
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Esta investigación se centra en la implementación de la reingeniería del proceso de medición de los Stock Keeping Unit (SKU) importados por un centro de distribución de una empresa especializada en la venta de productos para la mejora del hogar y materiales de construcción. Para identificar los factores que influyen en el proceso y optimizarlo, se realizó un estudio de tiempos y movimientos del proceso utilizando la herramienta conocida como diagrama de espagueti. Como resultado, se incrementó la productividad y disminuyeron los tiempos muertos, lo que permitió medir en menos tiempo el universo de SKU. El estudio también condujo a la configuración del sistema utilizando datos correctos, lo que facilitó la operación dentro del almacén.
4
artículo
Technological advances have allowed to collect and store large volumes of data over the years. Besides, it is significant that today's applications have high performance and can analyze these large datasets effectively. Today, it remains a challenge for data mining to make its algorithms and applications equally efficient in the need of increasing data size and dimensionality [1]. To achieve this goal, many applications rely on parallelism, because it is an area that allows the reduction of cost depending on the execution time of the algorithms because it takes advantage of the characteristics of current computer architectures to run several processes concurrently [2]. This paper proposes a parallel version of the FuzzyPred algorithm based on the amount of data that can be processed within each of the processing threads, synchronously and independently.
5
artículo
Publicado 2024
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Los aceites esenciales extraídos de diversas partes de las plantas han sido empleados desde tiempos ancestrales con fines medicinales, condimentarios, conservantes y aromatizantes. En este estudio, se llevó a cabo una exhaustiva revisión bibliográfica sobre el uso de aceites esenciales en la industria de embutidos. Se empleó la metodología PRISMA para recopilar la información, obteniendo un total de 15 documentos técnicos y 17 documentos específicos sobre aceites de plantas aromáticas y sus efectos en productos cárnicos, siguiendo criterios de inclusión y considerando palabras clave relevantes. En conclusión, la inclusión de aceites esenciales en la elaboración de productos cárnicos no solo favorece su conservación, sino que también mejora sus características organolépticas y añade funcionalidad al producto final. Este estudio destaca la importancia de los aceites es...
6
artículo
Publicado 2018
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Geo-referenced textual data has been the subject of multiple investigations, by providing opportunities to better understand certain phenomena according to the content that is shared, either on-line such as social networks, blogs, and news; or through repositories such as scientific research articles, geo-referenced virtual books, among others. However, the characteristics of this information are studied, analyzed and processed separately, either through its textual components or its geo-spatial components, which offers a separate understanding of the results. In this paper, we propose an integration of textual and geo-spatial components from the pre-processing phase to the visualization stage, As a part of the Document Mapping process based on the phases of the Knowledge Discovery in Databases (KDD). Achieving two main results (1) minimize the problems that arise in the visual phase, su...
7
objeto de conferencia
Publicado 2018
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The present work was achieved thanks to the joint work with my advisor, for her persistence and tenacity at the moment of sharing her teachings with me, to my distinguished teachers who have forged knowledge from the first day of classes, whom with nobility and enthusiasm influenced as an example in me and my colleagues in the master’s degree in computer science; also thanks to CONCYTEC, FONDECYT and Cienciactiva for the support and opportunities provided that made this work possible.
8
artículo
Publicado 2024
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The application of computer technologies associated with sensors and artificial intelligence (AI) in the quantification and qualification of quality parameters of meat products of various domestic species is an area of research, development, and innovation of great relevance in the agri-food industry. This review covers the most recent advances in this area, highlighting the importance of computer vision, artificial intelligence, and ultrasonography in evaluating quality and efficiency in meat products’ production and monitoring processes. Various techniques and methodologies used to evaluate quality parameters such as colour, water holding capacity (WHC), pH, moisture, texture, and intramuscular fat, among others related to animal origin, breed and handling, are discussed. In addition, the benefits and practical applications of the technology in the meat industry are examined, such as...
9
artículo
Publicado 2024
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The application of computer technologies associated with sensors and artificial intelligence (AI) in the quantification and qualification of quality parameters of meat products of various domestic species is an area of research, development, and innovation of great relevance in the agri-food industry. This review covers the most recent advances in this area, highlighting the importance of computer vision, artificial intelligence, and ultrasonography in evaluating quality and efficiency in meat products’ production and monitoring processes. Various techniques and methodologies used to evaluate quality parameters such as colour, water holding capacity (WHC), pH, moisture, texture, and intramuscular fat, among others related to animal origin, breed and handling, are discussed. In addition, the benefits and practical applications of the technology in the meat industry are examined, such as...
10
informe técnico
En el presente trabajo, se sistematizan los conceptos inherentes al Modelo Data Warehouse, haciendo referencia a cada uno de ellos en forma ordenada, en un marco conceptual claro, en el que se desplegarán sus características y cualidades, y teniendo siempre en cuenta su relación o interrelación con los demás componentes del ambiente. Inicialmente, se definirá los conceptos generales relacionados al Data WareHouse, Seguidamente, se introducirá a la definición de requerimientos y los procesos de negocio para modelar un Data Warehouse, y se expondrán sus aspectos más relevantes y significativos. Luego, se precisarán y detallarán todos los componentes que intervienen en la Integración de Datos, de manera organizada e intuitiva, atendiendo su interrelación. Posterior se describe el Diseño Dimensional para los procesos de Negocio. Finalmente, se describirán algunos conceptos qu...
11
tesis de maestría
Publicado 2021
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Basado en los datos de observación de alta precisión GNSS y el cambio de coordenadas de la estación de monitoreo CORS antes y después del terremoto 8.0 de Perú de 2019, el autor desarrolló el software de análisis de deformación de la superficie basado en el software de procesamiento científico, que tiene valor científico y práctico en la investigación del epicentro del terremoto, magnitud y geodinámica. Se muestran los resultados obtenidos utilizando el software científico de procesamiento GNSS PANDA, un paquete de precisión para el análisis de datos GNSS, desarrollado por la Universidad de Wuhan, China. Los resultados son de alta precisión en el orden de los milímetros. Los resultados obtenidos tienen un desplazamiento de alrededor de 2 cm en las estaciones GNSS cercanas al terremoto, al noroeste.
12
artículo
Publicado 2024
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This study presents Datalyzer, a system designed for data extraction, visualization, and prediction in the mining sector using advanced NLP and machine learning, specifically GPT-3.S Turbo. The system enhances operational efficiency through rigorous data preprocessing and specialized fine-tuning, validated on a simulated mining dataset. Results show significant improvements: data extraction time reduced by 94 % and visualization time by 97.6%. These improvements indicate a transformation in efficiency, usability, and user satisfaction. Despite limitations in data variability and complexity, this pioneering approach highlights the potential of NLP and machine learning in modernizing the mining industry and supporting data-driven decision-making.
13
artículo
Publicado 2015
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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.
14
artículo
Publicado 2019
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Is there a correspondence or affinity between the juridicalprincipiological and factual-economical conceptions for the effective protection of the consent of the holder of personal data when hiring in a network?Under the mantle of the present question, it aims to analyze the contemporary contractual scenario under the perspective of the privacy policy and the Brazilian General Data Protection Law (LGPD). In this context, it is proposed a skeptical reflection on the principles and economic guidelines defended by law and doctrine to verify if the consent is an instrument of real effectiveness to the tutelage of the subjects in network. The first topic concerns the conceptual and conceptual analysis of consent in the LGPD and in the specialized doctrine. The second topic deals with the limited rationality of the users of the network services in understanding the dispositions in the pol...
15
capítulo de libro
Publicado 2019
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This work proposes a semi-automated analysis and modeling package for Machine Learning related problems. The library goal is to reduce the steps involved in a traditional data science roadmap. To do so, Sparkmach takes advantage of Machine Learning techniques to build base models for both classification and regression problems. These models include exploratory data analysis, data preprocessing, feature engineering and modeling. The project has its basis in Pymach, a similar library that faces those steps for small and medium-sized datasets (about ten millions of rows and a few columns). Sparkmach central labor is to scale Pymach to overcome big datasets by using Apache Spark distributed computing, a distributed engine for large-scale data processing, that tackle several data science related problems in a cluster environment. Despite the software nature, Sparkmach can be of use for local ...
16
artículo
Publicado 2024
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This work proposes an electronic equipment which determines the marbling grade in beef rib eye according to the American grading scale using digital image processing and machine learning, achieving an 88.89 % coincidence level with grading done by beef specialists. Existing solutions which use image processing usually require calibration methods due to working in non-controlled environments. Furthermore, they only acquire the fat distribution from the longissimus dorsi muscle with an approximate accuracy of 80 %, without referring the distribution to any quality standard. In this work, meat samples are placed in a food grade stainless-steel enclosure with a touch screen and a digital RGB camera. The device acquires an image of the rib eye, which is then analyzed using techniques such as adaptive histogram analysis based on the HSV color model, histogram peaks detection for grayscale thre...
17
artículo
Publicado 2021
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The fishing industry generates large quantities of by-products, most of which are not used and are therefore discarded. The objective of the present research was the elaboration of a pâté-type sausage from mechanically recovered meat of rainbow trout (Oncorhynchus mykiss). The meat was obtained from trout skelons, which were passed through a grinder and sprayed with a mixture of α-tocopherol (0.02%) and ascorbic acid (0.05%). The formulation of the pate was as follows: mechanically recovered trout meat (74.4%), salt (1.3%), sodium tripolyphosphate (0.8%), starch (2%), soy protein isolate (2.4%), margarine (16.7%), soy lecithin (1.9%), onion powder (0.2%), garlic powder (0.2%) and pepper powder (0.1%). Three formulations were prepared: PCR1 (80% cooked meat and 20% raw meat), PCR2 (90% cooked meat and 10% raw meat) and PCR3 (100% cooked meat). For each formulation, the following were e...
18
artículo
Publicado 2021
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The fishing industry generates large quantities of by-products, most of which are not used and are therefore discarded. The objective of the present research was the elaboration of a pâté-type sausage from mechanically recovered meat of rainbow trout (Oncorhynchus mykiss). The meat was obtained from trout skelons, which were passed through a grinder and sprayed with a mixture of α-tocopherol (0.02%) and ascorbic acid (0.05%). The formulation of the pate was as follows: mechanically recovered trout meat (74.4%), salt (1.3%), sodium tripolyphosphate (0.8%), starch (2%), soy protein isolate (2.4%), margarine (16.7%), soy lecithin (1.9%), onion powder (0.2%), garlic powder (0.2%) and pepper powder (0.1%). Three formulations were prepared: PCR1 (80% cooked meat and 20% raw meat), PCR2 (90% cooked meat and 10% raw meat) and PCR3 (100% cooked meat). For each formulation, the following were e...
19
artículo
Publicado 2021
Enlace
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The fishing industry generates large quantities of by-products, most of which are not used and are therefore discarded. The objective of the present research was the elaboration of a pâté-type sausage from mechanically recovered meat of rainbow trout (Oncorhynchus mykiss). The meat was obtained from trout skelons, which were passed through a grinder and sprayed with a mixture of α-tocopherol (0.02%) and ascorbic acid (0.05%). The formulation of the pate was as follows: mechanically recovered trout meat (74.4%), salt (1.3%), sodium tripolyphosphate (0.8%), starch (2%), soy protein isolate (2.4%), margarine (16.7%), soy lecithin (1.9%), onion powder (0.2%), garlic powder (0.2%) and pepper powder (0.1%). Three formulations were prepared: PCR1 (80% cooked meat and 20% raw meat), PCR2 (90% cooked meat and 10% raw meat) and PCR3 (100% cooked meat). For each formulation, the following were e...
20
artículo
Publicado 2023
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Process automation is being implemented in different disciplines of earth sciences, as seen in the implementation of libraries such as Pyrolite, PyGeochemCalc, dh2loop 1.0, NeuralHydrology, GeoPyToo among others. The present work addresses a methodology to automate the geochemical univariate analysis by using Python and open-source packages such as pandas, seaborn, matplotlib, statsmodels which will be integrated into a script in a local work environment such as Jupyter notebook or in an online environment such as Google Collaboratory. The script is designed to process any type of geochemical data, allowing to remove outliers, perform calculations and graphs of the elements and their respective geological domain. The results include graphics such as boxplot, quantile-quantile and calculations of normality tests and geochemical parameters, allowing to determine the background and threshol...
