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using method » costing method (Expander búsqueda), dating method (Expander búsqueda), using methane (Expander búsqueda)
1
artículo
Publicado 2019
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This article presents a methodology that applies natural language processing and classification algorithms by using data mining techniques, and incorporating procedures for validation and verification of significance. This is conducted according to the analysis and selection of data and results based on quality statistical analysis, which guarantees the effectiveness percentage in knowledge construction. The analysis of computer incidents within an educational institution and a standardized database of historical computer incidents collected by the Service Desk area is used as case study. Such area is linked to all information technology processes and focuses on the support requirements for the performance of employee activities. As long as users’ requirements are not fulfilled in a timely manner, the impact of incidents may give rise to work problems at different levels, making it d...
2
artículo
Publicado 2019
Enlace
Enlace
This article presents a methodology that applies natural language processing and classification algorithms by using data mining techniques, and incorporating procedures for validation and verification of significance. This is conducted according to the analysis and selection of data and results based on quality statistical analysis, which guarantees the effectiveness percentage in knowledge construction. The analysis of computer incidents within an educational institution and a standardized database of historical computer incidents collected by the Service Desk area is used as case study. Such area is linked to all information technology processes and focuses on the support requirements for the performance of employee activities. As long as users’ requirements are not fulfilled in a timely manner, the impact of incidents may give rise to work problems at different levels, making it d...
3
artículo
Publicado 2019
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El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
4
5
tesis de grado
Publicado 2024
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La presente investigación tiene como objetivo optimizar el proceso de compras CAPEX en una empresa minera polimetálica de gran envergadura, evaluando los problemas y cuellos de botella presentes en dicho proceso. La metodología presentada se centra en la recolección exhaustiva de datos cuantitativos y cualitativos, así como en la implementación de estrategias basadas en metodologías Lean como Just in Time y Muda. Como resultado, se presenta una reducción significativa en los tiempos de entrega de órdenes de compra, así como una mejora en la eficiencia y el rendimiento general del proceso, validados mediante análisis estadístico y simulaciones en el software ARENA. La conclusión es que la implementación de las estrategias Just in Time y Muda ha demostrado ser efectiva para optimizar el proceso de compras CAPEX, con impactos positivos en la eficiencia operativa y la reducció...
6
artículo
Publicado 2020
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El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
7
artículo
Publicado 2020
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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.
8
artículo
Publicado 2023
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Recurrent flooding in the mining works, deficiencies in the operation of pumps, unforeseen stoppages, and lack of water availability in the processes, affect the operations in the subway mine. The traditional solution adopted is to wait for maintenance times for its post evacuation, generating stoppages, consumption of water from the wells and inefficiency in the daily water demand. Therefore, this article presents a new approach that will expand the traditional methods by introducing a prediction model using probabilistic methods. This approach will allow the design of an optimal water distribution system, the efficient control in the maintenance and covering of the recirculated water demand inside the mine. Variables describing problems related to pump flow, pressure zoning and the type of pump distribution, either in series or in parallel in the pumping system, will be determined. Als...
9
artículo
Publicado 2022
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“The most devastating disease to humanity is commonly known as elephantiasis. Infection usually acquired in childhood but visible indication like pain, disfiguring occur later in life. Severely affected people will have a permanent disability. Not only had it generated physical challenges it also cost for social, psychological, and economical losses. The impact of the disease is so painful and devastating among young men and women as they live with the lifelong disfiguring condition. As the parasite attacks directly to the lymphatic system of the body whose primary function is to drain all the harmful components and impurities from tissues and cells also make a strong immune system of the body to fight against infection and diseases. Since the parasite attack damages the lymphatic vessels and capillaries. Hence the effect is on the flow of lymph resulting in lymphoedema. 90% of the cas...
10
artículo
Publicado 2022
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“The most devastating disease to humanity is commonly known as elephantiasis. Infection usually acquired in childhood but visible indication like pain, disfiguring occur later in life. Severely affected people will have a permanent disability. Not only had it generated physical challenges it also cost for social, psychological, and economical losses. The impact of the disease is so painful and devastating among young men and women as they live with the lifelong disfiguring condition. As the parasite attacks directly to the lymphatic system of the body whose primary function is to drain all the harmful components and impurities from tissues and cells also make a strong immune system of the body to fight against infection and diseases. Since the parasite attack damages the lymphatic vessels and capillaries. Hence the effect is on the flow of lymph resulting in lymphoedema. 90% of the cas...
11
artículo
Publicado 2013
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This research‘s main objective quantification of iron content in sphalerites; differentiation of three types of sphalerites is obtained according to the iron content, which will be useful for the proposed solutions in the metallurgical problems. In this study themineralogical characterization of samples from the Paragsha concentrator, the mining district of Cerro de Pasco and especiallysphalerites using the method of optical microscopy was performed for which it was necessary to use a polarizing microscopereflected light.Studies was performed as accurately as in the case of modal analysis where estimates of the degree of liberation and mineralgicalassociation are made, the samples come from the metallurgical testing laboratory. The specimen was taken from the concentratorplant Paragsha, then sifted for the preparation of polished sections that were used for the characterization of each...
12
artículo
Publicado 2023
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This research aims to enhance the classification of the rock mass in underground mining, a common problem due to geological alterations that do not fit existing methods. Artificial neural networks are proposed as a solution, which use input/output data to learn and solve problems. The process involves gathering data on rock properties and training the neural networks to identify and classify various types of rock. Once trained, the neural networks can classify the rock mass in real-time during mine design and progression, adapting to different rock types with a low margin of error of 0.279% in determining the RMR index. This research overcomes the limitations of current classification methods, providing a more accurate and reliable solution for the classification of the rock mass in underground mining. In summary, artificial neural networks are utilized to improve the classification of r...
13
artículo
Publicado 2020
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The implementation of any software development process involves the consumption of critical resources. Software engineers cannot experiment with different development processes before starting them in real projects, due to the time that would entail and the amount of elements that are involved, so it is vital to have tools that allow the pre-visualization of the results of executing the software development process and how the environmental variables affect it, thus being able to anticipate under what conditions the software development process will be deployed. This paper presents the modelling and simulation of a software development process using System Dynamics (SD), which allows the graphical representation of the elements intervening in the software process, and the incorporation of as many relevant elements as possible. As a software costs estimation reference, the COCOMO estimati...
14
objeto de conferencia
Publicado 2022
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20th LACCEI International Multi-Conference forEngineering, Education, and Technology: “Education, Research and Leadership in Post-pandemic Engineering: Resilient, Inclusive and Sustainable Actions”
15
tesis de grado
Publicado 2025
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Inventory management has a valuable role because it identifies the loss of raw materials and maintains the economic sustainability of companies in the market. This research aims to measure inventory control and provide analysis through appropriate methodologies, such as the ABC classification system and the weighted moving average, improving warehouse management and the sales level of the company Tectum. For this purpose, the preliminary diagnosis was made employing a survey, considering The permanence at work, economic situation, classification of products according to importance, frequency of registration of inputs and outputs, knowledge of inventory management and control, and its application; which gave as a primary result that, despite not knowing the storage of products thoroughly, if they know their benefits, so they keep a record where they are classifying the products by importa...
16
artículo
Publicado 2020
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El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
17
artículo
Publicado 2014
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We present a first approach to a new method to compute the motion estimation in digital videos using the two-dimensional instantaneous frequency information computed using amplitude-modulation frequency-modulation (AM-FM) methods. The optical flow vectors are computed using an iteratively reweighted norm for total variation (IRN-TV) algorithm. We compare the proposed method using synthetic videos versus a previous three-dimensional AM-FM based method and available motion estimation methods such as a phase-based, Horn-Schunck and the Lucas-Kanade methods. The results are promising producing a full density estimation with more accurate results than the other methods.
18
artículo
Publicado 2025
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The emergence of Machine Learning (ML) technologies and their integration into agriculture has demonstrated a significant impact on disease detection in crops, enabling continuous monitoring and enhancing risk planning and management. This study applied image processing techniques such as thresholding, gamma correction, and the Stretched Neighborhood Effect Color to Grayscale (SNECG) method, alongside ML, to develop a predictive model for identifying five types of rice diseases. The ML techniques used included Logistic Regression, Multilayer Perceptron, Support Vector Machines, Decision Trees, and Random Forests (RF). Hyperparameters were optimized and evaluated through 5-fold cross-validation. In the results, the SNECG method successfully converted images to grayscale, capturing essential features of lesions on rice leaves. The ML models developed with these techniques showed evaluation...
19
objeto de conferencia
The growth of cloud application services delivered through data centers with varying traffic demands unveils limitations of traditional load balancing methods. Aiming to attend evolving scenarios and improve the overall network performance, this paper proposes a load balancing method based on an Artificial Neural Network (ANN) in the context of Knowledge-Defined Networking (KDN). KDN seeks to leverage Artificial Intelligence (AI) techniques for the control and operation of computer networks. KDN extends Software-Defined Networking (SDN) with advanced telemetry and network analytics introducing a so-called Knowledge Plane. The ANN is capable of predicting the network performance according to traffic parameters paths. The method includes training the ANN model to choose the path with least load. The experimental results show that the performance of the KDN-based data center has been greatl...
20
artículo
Publicado 2019
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In this work we critically approach the figure of the illicit association from a double perspective: historical and constitutional, questioning its theoretical foundations and its jurisprudential use. We connect your employment with arbitrary criminal proceedings where procedural guarantees are usually violated. We recover its political history in times of witch hunts, when the term „subversive association“ is born, in times of persecution of the coven, taken by many contemporary historians (especially feminist as Silvia Federici) as forms of resistance to new forms of organization of rural property (since behind the witch hunt was the expansion of rural capitalism) or resistance to the privatization of land in Europe. We conclude, making a parallel with the witch hunt (political criminalization program), that the alternative to the constant and growing criminalization of marginaliz...
