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Auswahl der wissenschaftlichen Literatur zum Thema „Rojové algoritmy“
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Zeitschriftenartikel zum Thema "Rojové algoritmy"
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Vidal, Antonio M., und Pedro Alonso. „Solving systems of symmetric Toeplitz tridiagonal equations: Rojo’s algorithm revisited“. Applied Mathematics and Computation 219, Nr. 4 (November 2012): 1874–89. http://dx.doi.org/10.1016/j.amc.2012.08.030.
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Romero Rondón, Miguel Fabián, Laura Melissa Sanabria Rosas, Lola Xiomara Bautista Rozo und Alfonso Mendoza Castellanos. „Algoritmo para la detección de glóbulos rojos superpuestos en imágenes microscópicas de extendidos de sangre periférica“. DYNA 83, Nr. 198 (01.09.2016): 187. http://dx.doi.org/10.15446/dyna.v83n198.47177.
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El hemograma es uno de los exámenes médicos más solicitados, ya que ofrece información detallada sobre las tres líneas celulares presentes en la sangre: la serie roja, la blanca y la plaquetaria. Para emitir algunos diagnósticos el especialista debe hacerlo de forma manual, observando en el microscopio las células sanguíneas, lo que implica mayor esfuerzo. Con el propósito de facilitar este trabajo, se han propuesto diferentes técnicas de procesamiento digital de imágenes para la detección y clasificación de glóbulos rojos, pero se ha encontrado un problema muy común que es la presencia de células superpuestas, lo cual genera diversos errores en los resultados. Por esta razón, se propone la implementación de un algoritmo que permita abordar el problema de superposición de glóbulos rojos en imágenes de frotis celular, con el fin de dar soporte al especialista en el proceso de lectura visual. El método fue probado con 50 imágenes, con las cuales se calcularon los índices de especificidad y sensibilidad, mostrando la efectividad del algoritmo desarrollado.
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Nica, Mihai, Bogdan Creţu, Răzvan Ene, Bogdan Şerban und Cătălin Cîrstoiu. „Review of current hallux valgus management options“. Romanian Journal of Orthopaedic Surgery and Traumatology 2, Nr. 2 (01.12.2019): 130–38. http://dx.doi.org/10.2478/rojost-2019-0024.
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AbstractHallux valgus is one of the most common forefoot pathologies, with a multifactorial etiology that causes important functional impairment and metatarsalgia. The characteristic deformity originates from a biomechanical imbalance induced by the disruption of first metatarsophalangeal joint alignment and manifests as an abnormal weight transfer on the first ray during walking. Conservative treatment is unable to correct the deformity or stop the evolution of the disease but can distinctly control the symptoms. With time, a myriad of surgical correction techniques have been developed but no definitive surgical treatment algorithm has been generally accepted. Nonetheless, the decision process for choosing the suitable technique must be completed on an individual basis after considering the deformity severity stratification, status of the metatarsophalangeal and tarsometatarsal joints, bone anatomy, and associated comorbidities. In spite of a large variety of surgical options, there are a few main strategies that incorporate these variations: metatarsophalangeal and/or tarsometatarsal joint fusion, metatarsal osteotomies and soft tissue procedures. Nowadays, the surgical management of hallux valgus is dominated by first metatarsal osteotomies performed through open surgery or minimally invasive techniques. Hallux valgus angle has been found to be the single most important parameter for surgical outcome prognostic.
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Popa, M., Z. Panti, M. Nica, M. Pleniceanu, B. Şerban, R. Ene und C. Cîrstoiu. „Soft Tissue Giant Cell Tumor - Incidence and Therapeutic Results“. Romanian Journal of Orthopaedic Surgery and Traumatology 1, Supplement (01.06.2018): 18. http://dx.doi.org/10.2478/rojost-2018-0029.
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Abstract Introduction. Giant cell tumors of soft tissue (GCTs) have a relatively low incidence and their low prognosis is reserved to local relapses and distant metastases. This type of pathology usually affects adults and the elderly and it is localized in the extremities, most frequently in the thigh. Materials and methods. GCT is a relatively low aggressive tumor; approximately 85% of the patients survive at least 5 years after diagnosis. The risk factors for low prognosis are old age, metastases at the time of diagnosis, local relapse. We conducted this study in the University Emergency Hospital, Bucharest for a period of 3 years, between 01.01.2015 and 01.01.2018, which included 20 patients with ages between 22 and 83 years, of whom 9 were women and 11 were men. Results. Excision with safety margins was performed for all patients. During surgery, tissue samples from 6 different areas were sent for extemporaneous examination. After excision, the histopathological examination was performed and the diagnosis of GCT was established. Localized forms were described in 16 cases; diffuse forms were identified in 4 cases and loco-regional recurrences in 3 cases. Pre or postoperative adjuvant treatment was not applied in any of the cases. Conclusions. GCT is a rare, potentially malignant pathology, in which case evolution is unfavorable. From the clinical and imaging point of view, it is difficult to establish this diagnosis due to the large variety of pathologies it can be mistaken for, making biopsy an essential step within the diagnostic algorithm. Election treatment is represented by local excision with safety margins.
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Iacobescu, Georgian, Adrian Cursaru, Dan Anghelescu, Mihnea Popa und Dan Popescu. „Correlations between intra and extraarticular factors measured by computed tomography in patients with recurrent patellar dislocation“. Romanian Journal of Orthopaedic Surgery and Traumatology 3, Nr. 1 (01.06.2020): 20–28. http://dx.doi.org/10.2478/rojost-2020-0005.
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AbstractIntroduction: Lateral patellar dislocation (LPD) is a common injury of the knee, most frequent in young patients. It has a multifactorial etiology with several underlying risk factors. In most cases, patellar dislocation occurs on the lateral side, with the rupture of the medial patellofemoral ligament (MPFL), appearing in more than 80% of the cases. The tibial tuberosity-trochlear groove (TT-TG) distance of 20 mm or more in patients with lateral patellar dislocation is a gold standard for the surgical indication of tibial tubercle osteotomy (TTO).Hypothesis: Our investigation aimed to establish whether there is a correlation between the TT-TG distance and other bony landmarks, like trochlear groove medialization, tibial tuberosity lateralization, and knee rotation angle, in the surgical algorithm for the patient with patellar dislocation.Methods: We conducted a prospective study, analyzing and comparing data from two groups, 33 patients with a diagnosis of patellar dislocation, and a control group of 30 patients, with meniscal injury, but healthy contralateral limb. Using computed tomography, we measured the TT-TG distance, femoral anteversion, tibial torsion, knee rotation angle, tuberosity lateralization, and trochlear groove medialization of all the patients in our study. The measurements were conducted by two independent orthopedic surgeons in a randomized manner. Using an unpaired t test, we compared and analyzed each parameters value from the study and the control group.Results: Comparing the two groups, we observed a significant difference for TT-TG distance, knee rotation angle and tibial tuberosity lateralization with higher values in the study group compared to the control group (CI 95% 6.44-9.72, CI 95% 8.64-10.39, CI 95% 3.77-5.46, respectively), with a p value < 0.0001 in all cases. Also, the TT-TG distance positively correlated with knee rotation angle (r=.97, p=0.01) and tibial tuberosity lateralization (r=.86, p=0.0001) in the study group.Conclusions: The TT-TG distance measurement usually defines the lateralization of the tibial tuberosity; yet, in some cases, it can be caused by the trochlear groove medialization, or high rotation between the femur and tibia. Our study revealed that knee rotation and tuberosity lateralization were factors implicated in patellar dislocation and they should be taken into account when making the decision of tibial tubercle osteotomy.
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Ospina R., Oscar, Hector José Anzola Vasquez, Olber Ayala D., Andrea Baracaldo M., Juan Arévalo C. und Pedro Lozada W. „Comparación de la fibra detergente neutra en gramíneas, calculada mediante algoritmo de análisis de imágenes rojo, verde y azul vs espectroscopia del infrarrojo cercano“. Revista de Investigaciones Veterinarias del Perú 32, Nr. 1 (26.02.2021): e17498. http://dx.doi.org/10.15381/rivep.v32i1.17498.
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El trabajo estuvo orientado a evaluar la precisión del algoritmo de análisis de imágenes Red, Green, Blue (RGB) incluido en el software TaurusWebs V2017® para el cálculo del porcentaje de fibra detergente neutra (FDN) en la materia seca de gramíneas, a partir de imágenes de las praderas tomadas por un dron con cámara RGB. Los resultados fueron comparados con los valores de FDN calculados con espectroscopia del infrarrojo cercano (NIRS). Se tomaron 42 muestras para NIRS: 18 de gramíneas de trópico alto en Cundinamarca: kikuyo (Pennisetum clandestinum), falsa poa (Holcus lanatus) y pasto brasilero (Phalaris arundinacea) y 24 de trópico bajo en Tolima, Colombia: pangola (Digitaria decumbens), pará (Brachiaria mutica), bermuda (Cynodon dactylon) y colosuana (Bothriochloa pertusa). Los resultados se compararon contra 180 evaluaciones hechas con el algoritmo de las imágenes de las mismas gramíneas donde se tomaron las muestras para NIRS. Las pruebas de correlación de Kendall y de Spearman fueron significativas (p<0.05), con una asociación de rho=0.81 para la prueba de hipótesis de Kruskal Wallis (p> 0.05). No hubo diferencias significativas en los valores de FDN bajo las dos metodologías y según la prueba de Wilcoxon las medianas de la FDN calculada por NIRS vs. las del algoritmo son iguales. En conclusión, la información generada con el algoritmo se puede utilizar para trabajos de análisis del FDN en gramíneas.
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Delgado-Gutiérrez, Miguel José, Daniel Felipe Herrera-Guillén, Luisa María Medina-Barragán und Jennifer Paola Corredor–Gómez. „Implementación de un sistema de procesamiento de imágenes integrado con Raspberry PI 2B para reconocimiento y recolección de fresas maduras“. Revista Politécnica 13, Nr. 25 (Juni 2017): 75–85. http://dx.doi.org/10.33571/rpolitec.v13n25a6.
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El objetivo del presente trabajo es describir el método para localizar fresas y evaluar su madurez por medio del procesamiento de imágenes. La detección se realizó según la cantidad de color rojo y la madurez con los colores verde/amarillo en la superficie de la fresa. Para dicho proceso, se hizo uso del sistema de embebido Raspberry Pi 2 y una Picamera. El algoritmo implementado se escribió en Python y adicionalmente se hizo uso de las librerías de Open CV, este algoritmo se utilizó en un robot recolector de fresas que realiza los procesos de: identificación y evaluación de madurez. Los procesos los desarrolla en tiempo real bajo diferentes condiciones de iluminación establecidas. El programa identificó todas las fresas y reconoció la madurez en un 76.67%. El trabajo presentado pretende ayudar en los procesos de recolección y selección de fresas.
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Munera, Sandra, Alejandro Rodríguez-Ortega, Nuria Aleixos, Sergio Cubero, Juan Gómez-Sanchis und José Blasco. „Detection of Invisible Damages in ‘Rojo Brillante’ Persimmon Fruit at Different Stages Using Hyperspectral Imaging and Chemometrics“. Foods 10, Nr. 9 (13.09.2021): 2170. http://dx.doi.org/10.3390/foods10092170.
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The main cause of flesh browning in ‘Rojo Brillante’ persimmon fruit is mechanical damage caused during harvesting and packing. Innovation and research on nondestructive techniques to detect this phenomenon in the packing lines are necessary because this type of alteration is often only seen when the final consumer peels the fruit. In this work, we have studied the application of hyperspectral imaging in the range of 450–1040 nm to detect mechanical damage without any external symptoms. The fruit was damaged in a controlled manner. Later, images were acquired before and at 0, 1, 2 and 3 days after damage induction. First, the spectral data captured from the images were analysed through an algorithm based on principal component analysis (PCA). The aim was to automatically separate intact and damaged fruit, and to detect the damage in the PC images when present. With this algorithm, 90.0% of intact fruit and 90.8% of damaged fruit were correctly detected. A model based on partial least squares—discriminant analysis (PLS-DA), was later calibrated using the mean spectrum of the pixels detected as damaged, to determine the moment when the fruit was damaged. The model differentiated fruit corresponding correctly to 0, 1, 2 and 3 days after damage induction, achieving a total accuracy of 99.4%.
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Salgado Patrón, José, Luis Vásquez Díaz und Mauricio Vidal Solano. „Diseño e implementación de algoritmo para el procesamiento de imágenes en sistemas embebidos“. Ingeniería y Región 10 (30.12.2013): 41. http://dx.doi.org/10.25054/22161325.756.
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En este articulo se presenta el diseño y la implementacion de un sistema de reconocimiento de colores, deteccion de bordes y seguimiento de color rojo por medio de un algoritmo de vision artificial, para lograr esto se tiene en cuenta que el hardware usado sera un sistema embebido de bajo costo y facil adquisicion, en este caso se utilizaranla FPGA SPARTAN 3AN y la RASPBERRY PI, el lenguaje de programacion usado para la creacion de algoritmos es VHDL en la FPGA y PYTHON en el caso de la RASPBERRY PI. En el proceso de adquirir las imágenes se necesitan 2 tipos de camaras, su principal caracteristica es la compatibilidad con los sistemas embebidos usados. Una vez adquirida la imagen se aplican tecnicas de umbralizacion y segmentacion, de los diferentes metodos existentes se toman en cuenta el gradiente y el operador sobel. Para poder ver los resultados en ambos casos se usan los puertos que cada una de las tarjetas presenta, en el caso de la FPGA se configura la salida de video VGA y se conecta un monitor a dicha salida, y en el caso de la tarjeta RASPBERRY PI se tienen varios puertos para mostrar el resultado, se puede acceder a la interfaz grafica de la tarjeta mediante un puerto HDMI; puerto Ethernet y puerto RCA.
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Prabowo, Iwan Ady, Wawan Laksito Yuly Saptomo und Nungky Kurnia Candra. „Kombinasi Transaksi Penjualan (Merk Beras) Menggunakan Algoritma Apriori (Studi Kasus di UD. SRD)“. Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) 9, Nr. 1 (30.04.2021): 45. http://dx.doi.org/10.30646/tikomsin.v9i1.543.
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UD. SRD is an individual company that produces and sells rice with various brands. UD. SRD is an individual company that produces and sells rice with various brands. Rice brands sold include C4 Kelapa, C4 Raja, C4 Merak, Nogo Hitam, Nogo Merah, Nogo Hijau, Pandan Wangi, Mentik Wangi and Rojo Lele. In processing sales data is still done manually that is only using notes or receipts, so the data only serves as an archive. In this study, the data amounted to 404 rice sales transactions from January to September 2016. The purpose of this research is the creation of Apriori algorithm system to predict combination of rice brand in sales transaction in UD. SRD so as to help the company know the sales of the most frequently purchased rice brands simultaneously. The result of combination rice brand is getting using Apriori Algorithm which supported minimum 30% and confidence minimum 70%. It appears from thus statements "If buy C4R, it will buy C3M with 51.54% support and 77.31% confidence", "If buy MW , It will buy C4M with the value of support 48.27% and the value of confidence 79.92% "," If buy C45 and C4M, it will buy MW with the value of support 32.43% and the value of confidence 71.20% "and" If buy MW and C4R , It will buy C4M with the value of support 32.43% and the value of confidence 82.91%".Keywords: Rice Transaction, Selling, Data mining, Association Rule, Apriori Algorithm
Dissertationen zum Thema "Rojové algoritmy"
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Hemzalová, Zuzana. „Evoluční algoritmy pro ultrazvukovou perfúzní analýzu“. Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442504.
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This thesis deals with the principles of ultrasonic perfusion analysis and methods for determining perfusion parameters. It examines Evolutionary algorithms and their ability to optimize the approximation of dilution curves from ultrasond tissue scannig. It compares the optimization performance of three evolutionary algorithms. Continuous genetic algorithm GA, algorithm SOMA and PSO. Methods are evaluated on simulated and clinical data.
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Pěnčík, Martin. „Plánování cesty robotu pomocí mravenčích algoritmů“. Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2014. http://www.nusl.cz/ntk/nusl-231644.
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This thesis deals with robot path planning. It contains an overview of general approaches for path planning and describes methods of swarm intelligence and their application for robot path planning. This paper also contains proposals of adjustments for ant algorithms and it presents experimental results of algorithm implementation.
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Pohl, Jan. „Algoritmus s pravděpodobnostním směrovým vektorem“. Doctoral thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2015. http://www.nusl.cz/ntk/nusl-233694.
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This disertation presents optimization algorithm with probability direction vector. This algorithm, in its basic form, belongs to category of stochastic optimization algorithms. It uses statistically effected perturbation of individual through state space. This work also represents modification of basic idea to the form of swarm optimization algoritm. This approach contains form of stochastic cooperation. This is one of the new ideas of this algorithm. Population of individuals cooperates only through modification of probability direction vector and not directly. Statistical tests are used to compare resultes of designed algorithms with commonly used algorithms Simulated Annealing and SOMA. This part of disertation also presents experimental data from other optimization problems. Disertation ends with chapter which seeks optimal set of control variables for each designed algorithm.
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Raudenská, Lenka. „Metriky a kriteria pro diagnostiku sociotechnických systémů“. Doctoral thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2010. http://www.nusl.cz/ntk/nusl-233879.
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This doctoral thesis is focused on metrics and the criteria for socio-technical system diagnostics, which is a high profile topic for companies wanting to ensure the best in product quality. More and more customers are requiring suppliers to prove reliability in the production and supply quality of products according to given specifications. Consequently the ability to produce quality goods corresponding to customer requirements has become a fundamental condition in order to remain competitive. The thesis firstly lays out the basic strategies and rules which are prerequisite for a successful working company in order to ensure provision of quality goods at competitive costs. Next, methods and tools for planning are discussed. Planning is important in its impact on budget, time schedules, and necessary sourcing quantification. Risk analysis is also included to help define preventative actions, and reduce the probability of error and potential breakdown of the entire company. The next part of the thesis deals with optimisation problems, which are solved by Swarm based optimisation. Algorithms and their utilisation in industry are described, in particular the Vehicle routing problem and Travelling salesman problem, used as tools for solving specialist problems within manufacturing corporations. The final part of the thesis deals with Qualitative modelling, where solutions can be achieved with less exact quantitative information of the surveyed model. The text includes qualitative algebra descriptions, which discern only three possible values – positive, constant and negative, which are sufficient in the demonstration of trends. The results can also be conveniently represented using graph theory tools.
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Moreno, Moreno Flavio David. „Reconocimiento de gestos corporales, utilizando procesamiento digital de imágenes para activar sistema de alarma“. Bachelor's thesis, Universidad Ricardo Palma, 2015. http://cybertesis.urp.edu.pe/handle/urp/1283.
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La investigación realizada a los sistemas de seguridad electrónica de edificios, plantea como objetivo principal el reconocimiento de tres gestos de un lenguaje corporal del personal de vigilancia, y la consecuente activación de alarma en forma automática. Inicialmente se realizó una encuesta dirigida a las administraciones y personal de edificios, para saber cuales eran las ocurrencias que vulneraban la seguridad de un edificio multifamiliar, luego se observaron y analizaron las imágenes capturadas por una cámara de vigilancia ubicada en la recepción, identificando las ocurrencias más vulnerables y gestos asociados a dichos eventos; se seleccionaron tres gestos que en forma inconsciente realizaba el personal de vigilancia ante dichas situaciones. A determinados cuadros que comprenden estas imágenes se le aplicaron técnicas de procesamiento espacial, con ayuda de una iluminación artificial que era más intensa en la parte posterior del sujeto de análisis, consiguiéndose la definición de una silueta binarizada en el entorno Matlab, técnicas como selección del plano rojo, plano de bits más significativo, invertir imagen y transformaciones morfológicas tipo cerradura, definieron una silueta que ayudó a desarrollar un algoritmo matemático para generar una señal eléctrica en el puerto serial USB del ordenador, donde se conectó físicamente una plataforma de hardware Arduino que activa la alarma. La elección de esta plataforma se debió a que Matlab cuenta con un grupo de instrucciones para Arduino, con el objetivo de lograr una comunicación sincronizada entre ordenador e interface.
Las técnicas utilizadas reconocieron 62,5% de los eventos descritos en las encuestas realizadas y que no son mencionadas en temas de investigación similar. Para lograr el objetivo fue necesario analizar un cuadro por segundo.
The research poses as their main objective the three gestures recognition of a body language of surveillance personnel and the consequent activation of alarm automatically. It was initially carried out a survey of the administration and the offices of the buildings to know which were the occurrences that violate the security of a multi-family building, then were observed and analyzed images captured by a surveillance camera located in the reception, identifying the most vulnerable occurrences and gestures associated with these events; were selected three gestures that unconsciously performs surveillance personnel before such situations; to certain pictures that comprise these images were applied spatial processing techniques, with the help of an artificial lighting that was more intense in the back of the subject of analysis, getting the definition of a silhouette binarized in the Matlab environment, techniques such as plane selection red, more significant bit plane, to invest an image and convolution close type, defined a silhouette that allowed to develop a mathematical algorithm that generated an electrical signal in USB serial port of the computer, where it is physically connected a hardware platform Arduino that active the alarm.This platform choice is due to the fact that Matlab has a group of instructions for Arduino, achieving an orderly communication between computer and interface.
The techniques used recognized 62.5 % of the events described in the surveys carried out and which aren’t mentioned in similar research topics. To achieve the objective was necessary to analyze a picture per second.