Modelos de investigación de operaciones y métricas para la medición y mejora de la confiabilidad de software

Publicación a texto completo no autorizada por el autorRealiza una revisión de modelos y métricas de confiabilidad de software seleccionando entre ellos, un conjunto de modelos de investigación de operaciones así como matemáticos y estadísticos aplicables en diferentes etapas del ciclo de vida de un software para garantizar la calidad a través de su confiabilidad de funcionamiento. Se presenta el conjunto de modelos cualitativos y cuantitativos y métricas seleccionados, se precisa en qué etapa del ciclo de vida se aplican, la finalidad para la cual se utilizan y se detalla cada una de sus componentes. Asimismo, se presenta modelos de grafos y modelos estocásticos que permiten medir características de la confiabilidad del software y contribuyen al desarrollo de acciones para evitar fallas que signifiquen la pérdida de disponibilidad o no funcionamiento de un software.Tesi

LOCALIZATION IN NETS AND PETRI NET SIMULATIONS APPLICATED TO THE ATTENTION OF AFFECTED PEOPLE BY THE NATURAL DISASTERS

The research objective is to minimize the time to care for the population affected by natural disaster. It is suggested that the affected population go to safe places of refuge and care of basic needs, established by the civil defense headquarters, whose knowledge must be disseminated throughout the population permanently, The study consists of two fases, in the first stage determines the location of sites of care by using networks of nodes such that nodes of a network represent areas where the population resides. It uses the model of the p-medium and the test of time home care to the residents who come to the center of attention, associated with the shortest distance to reach the point of care. After having located the sites of care, focuses the problem of efficient and timely care to the people that need it, for which we construct a Petri net for each focus. This network represents the whole process of attention and all its alternatives: registration of persons, medical care, shelter, among other services. The resulting Petri net is simulated to determine the maximum and average length of queues, average wait time, average time spent per person in the process and make changes in the parameters to determine their most apropriate value to provide the best care possible. Also make changes in parameters such as average rate of increase in attention or care posts at each point of care and determining the optimal number of these sites to minimize the time to care for the affected population who go to a specific shelter. This is a study underway with final results depend on the availability of data and information relating to the present case related to an earthquake of high intensity

Análisis de la confiabilidad del sistema de molienda en una planta concentradora, basado en la criticidad

The aim of this study is to present the process of grinding the ore concentrator plant a mining company, describing the settings of your threads and performing the calculation of the milling system reliability based on the criticality. Also, the main indicators are calculated for each team maintenance grinding area. The results enable companies maintenance decisions applying the constant monitoring of its milling equipment, which are of daily use of operators, establishing the criticality of any team in general regarding the occurrence of failure.El objetivo del presente estudio es presentar el proceso de molienda en la planta concentradora de minerales de una empresa minera, describiendo las configuraciones de sus subprocesos y realizando el cálculo de la confiabilidad del sistema de molienda basado en la criticidad. Asimismo, se calculan los principales indicadores de mantenimiento por cada equipo del área de molienda. Los resultados facilitan a la empresa tomar decisiones de mantenimiento aplicando el monitoreo permanente de sus equipos de molienda, que son de uso cotidiano de los operarios, estableciendo la criticidad de cualquier equipo en general respecto a la ocurrencia de falla

FORECAST AND ANALYSIS OF THE NINO PHENOMENON OVER THE NORTH OF PERU

El Niño is one of the phenomena ocean atmospheric that with major frequency impacts over the north region of Peru, which is characterized for intensity rains in the north zone of Peru, causing enormous economic losses and damages in the agriculture, road infrastructure, fisheries, in the education sector, health sector between others. Based on the historical monthly information of the sea surface temperature of the zones Tumbes, Paita and Chicama and using the tools stochastic of prediction as like The Markov's chains, in this research one tries to predict the possible appearance of these events front the Peruvian sea in agreement to different levels of intensity. Using the series of monthly information from beginning until the year 2007 and on the basis of a matrix of transition of Markov's chain, there becomes an attempt of forecast of the appearance of an event El Niño for 2009 of agreement to scales of intensity for the zones of Tumbes, Paita and Chicama in a transitional probabilities matrix

OPERATIONAL RESEARCH MODELS IN HUMAN RESOURCES MANAGEMENT

In the University faculties, as in every organization, there are Organizational entities that have functions related to human resource management, such as the administrative management, academic department, faculties, even the committee assessment and the theaching improvement. In the context described above, our interest is to develope a study concerned with the following objectives: To have an assignment system charge of the professors of the Mathematic Science Faculty, in particular in the Operational Research deparment, which guarantees an objective and impartial distribution that will allow to select the suitable professor to teach a particular course, with this purpose, it has been formulated a linear program model. Moreover, we set out a Markov's chain which translate in a transition probability matrix the changes of category of the permanent professor of the Mathematic Science Faculty among consecutives professor promotion procedure

Aplicación del mantenimiento centrado en la confiabilidad en motores de combustión interna de las embarcaciones pesqueras de la serie intrépido de una empresa pesquera

El uso de la metodología del Mantenimiento Centrado en la Confiabilidad (MCC o RCM) contempla no solamente el estudio del equipo como tal sino de los subsistemas que lo conforman y la interacción con el entorno físico que lo rodea. En este proyecto primero se realizó una adecuada identificación de los problemas que dificultan la maximización de la función de los motores de combustión interna de las Embarcaciones Pesqueras (E/P) de la serie “Intrépido”, a través del análisis de modo, fallas, causas y efectos (AMEF). Al definirse los modos y las causas de las fallas fue posible establecer la criticidad de cada una ellas y el impacto en las metas de operación, mantenimiento, salud y medio ambiente así como su priorización. El objetivo del estudio es aplicar la metodología con la finalidad de incrementar la vida útil de los componentes de los equipos, así como la disponibilidad de los mismos al disminuir las fallas y sus consecuencias, incrementando así, las ventas de harina de pescado a un menor costo de mantenimiento

Genomic, Pathway Network, and Immunologic Features Distinguishing Squamous Carcinomas

This integrated, multiplatform PanCancer Atlas study co-mapped and identified distinguishing molecular features of squamous cell carcinomas (SCCs) from five sites associated with smokin

Pan-cancer Alterations of the MYC Oncogene and Its Proximal Network across the Cancer Genome Atlas

Although theMYConcogene has been implicated incancer, a systematic assessment of alterations ofMYC, related transcription factors, and co-regulatoryproteins, forming the proximal MYC network (PMN),across human cancers is lacking. Using computa-tional approaches, we define genomic and proteo-mic features associated with MYC and the PMNacross the 33 cancers of The Cancer Genome Atlas.Pan-cancer, 28% of all samples had at least one ofthe MYC paralogs amplified. In contrast, the MYCantagonists MGA and MNT were the most frequentlymutated or deleted members, proposing a roleas tumor suppressors.MYCalterations were mutu-ally exclusive withPIK3CA,PTEN,APC,orBRAFalterations, suggesting that MYC is a distinct onco-genic driver. Expression analysis revealed MYC-associated pathways in tumor subtypes, such asimmune response and growth factor signaling; chro-matin, translation, and DNA replication/repair wereconserved pan-cancer. This analysis reveals insightsinto MYC biology and is a reference for biomarkersand therapeutics for cancers with alterations ofMYC or the PMN

Pan-Cancer Analysis of lncRNA Regulation Supports Their Targeting of Cancer Genes in Each Tumor Context

Long noncoding RNAs (lncRNAs) are commonly dys-regulated in tumors, but only a handful are known toplay pathophysiological roles in cancer. We inferredlncRNAs that dysregulate cancer pathways, onco-genes, and tumor suppressors (cancer genes) bymodeling their effects on the activity of transcriptionfactors, RNA-binding proteins, and microRNAs in5,185 TCGA tumors and 1,019 ENCODE assays.Our predictions included hundreds of candidateonco- and tumor-suppressor lncRNAs (cancerlncRNAs) whose somatic alterations account for thedysregulation of dozens of cancer genes and path-ways in each of 14 tumor contexts. To demonstrateproof of concept, we showed that perturbations tar-geting OIP5-AS1 (an inferred tumor suppressor) andTUG1 and WT1-AS (inferred onco-lncRNAs) dysre-gulated cancer genes and altered proliferation ofbreast and gynecologic cancer cells. Our analysis in-dicates that, although most lncRNAs are dysregu-lated in a tumor-specific manner, some, includingOIP5-AS1, TUG1, NEAT1, MEG3, and TSIX, synergis-tically dysregulate cancer pathways in multiple tumorcontexts

Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images

Beyond sample curation and basic pathologic characterization, the digitized H&E-stained images of TCGA samples remain underutilized. To highlight this resource, we present mappings of tumorinfiltrating lymphocytes (TILs) based on H&E images from 13 TCGA tumor types. These TIL maps are derived through computational staining using a convolutional neural network trained to classify patches of images. Affinity propagation revealed local spatial structure in TIL patterns and correlation with overall survival. TIL map structural patterns were grouped using standard histopathological parameters. These patterns are enriched in particular T cell subpopulations derived from molecular measures. TIL densities and spatial structure were differentially enriched among tumor types, immune subtypes, and tumor molecular subtypes, implying that spatial infiltrate state could reflect particular tumor cell aberration states. Obtaining spatial lymphocytic patterns linked to the rich genomic characterization of TCGA samples demonstrates one use for the TCGA image archives with insights into the tumor-immune microenvironment