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1
tesis de maestría
Nowadays spectrometers are useful in many applications such as bio-medical technology among other industrial fields. State of the art low-cost spectrometers are usually equipped with linear photoelectric array detectors (line detectors). This thesis covers part of the software development for a low-cost multichannel spectrometer using a matrix detector instead of a linear array detector. The image acquisition including an automatic integration time optimizer was implemented. Furthermore, algorithms for data extraction and calibration were developed. Finally, the multi-channel-system with the new software was compared with a high-resolution spectrometer and the results were discussed.
2
tesis de maestría
Nowadays spectrometers are useful in many applications such as bio-medical technology among other industrial fields. State of the art low-cost spectrometers are usually equipped with linear photoelectric array detectors (line detectors). This thesis covers part of the software development for a low-cost multichannel spectrometer using a matrix detector instead of a linear array detector. The image acquisition including an automatic integration time optimizer was implemented. Furthermore, algorithms for data extraction and calibration were developed. Finally, the multi-channel-system with the new software was compared with a high-resolution spectrometer and the results were discussed.
3
tesis de maestría
Nowadays spectrometers are useful in many applications such as bio-medical technology among other industrial fields. State of the art low-cost spectrometers are usually equipped with linear photoelectric array detectors (line detectors). This thesis covers part of the software development for a low-cost multichannel spectrometer using a matrix detector instead of a linear array detector. The image acquisition including an automatic integration time optimizer was implemented. Furthermore, algorithms for data extraction and calibration were developed. Finally, the multi-channel-system with the new software was compared with a high-resolution spectrometer and the results were discussed.
4
objeto de conferencia
Publicado 2017
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Sleepiness could cause different accidents at work and in our daily lives. Activities such as driving a car, handling heavy machinery, being in charge of controlling a satellite or monitoring a nuclear plant, are activities that require short visual and motor reaction times. These reactions could be affected by sleepiness. The highest number of these accidents is related to vehicular accidents. WHO statistics show that 1.2 million people worldwide die every year due to road crashes, 50 million people are injured, and more than 3,000 people die daily from road traffic injuries. The primary objective of the present work is to develop a tool based on techniques of artificial intelligence and image processing that can detect states of sleepiness in people whose work needs the greatest attention-to avoid accidents. The idea is to develop an algorithm that can be executed on a computer and thr...
5
artículo
Publicado 2021
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Digital Image processing has been a research area of interest in the last decades, standing out for its applications in the analysis of diagnostic images and astronomical images. In this paper, we perform an overview of edge detection methods through finite-difference to present edge detection as a problem-based learning strategy for numerical differentiation, in order to improve the students’ skills in modeling and algorithmic thinking in numerical analysis courses. In addition, we present image restoration through finite-difference as a problem involving partial differential equations and software tools.
6
artículo
Publicado 2020
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Technology makes many of the tasks that were previously difficult to perform, nowadays can be solved, one of them is to be able to carry out studies on large tracts of land and at the same time be able to have a level of detail of them, through the study of the satellite images provided by the Earth observation satellites, these images are composed of a series of spectral bands that will depend on the type of satellite mission that was conceived and the optical instrument that is found as a payload, these images are represented by multidimensional arrays and large size, so computational high computation equipment is required to process the images, added to this requires specialized software that allows the visual interpretation of satellite images. To be able to work with satellite images you have many configurations, normally you work with the configuration of separate bands that consis...
7
artículo
Publicado 2019
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In the evaluation of terrestrial coverage by means of remote sensors, we find a variety of techniques dedicated to be able to register the terrestrial coverage, one of them is the use of optical satellite images also known as multispectral images, these images are formed by different bands of spectral that depend on the optical sensor of the observation satellite, among the known bands we have: Panchromatic, Red, Green, Blue, Near Infrared, among others. The analysis of multispectral images is based on the grouping of these spectral bands, forming color images by grouping three spectral bands; One of the disadvantages presented by optical images in the acquisition is the presence of cloud cover that prevents the registration of land cover. Another of the techniques used is the use of the images provided by the Synthetic Aperture satellites, better known as radar images (SAR). These image...
8
tesis de maestría
Publicado 2014
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This work is about learning tool wich provides the necessary parameters for a program controlling robots of type LUKAS at the Faculty of Mechanical Engineering. The robot controlling program needs various parameters depending on its environment, like the light intensity distribution, and camera settings as exposure time and gain raw. These values have to be transmitted from the learning tool to the robot controlling software. Chapter one introduces the robots of type LUKAS which are created for the RoboCup Small Size League. Furthermore, it introduces the camera used for image processing. The second chapter explains the learning process according to Christoph UBfeller and deduces the requirements for this work. In the third chapter theoretical basics concerning image processing, wich are fundamental for this work, are explained. Chapter 4 describes the developed learning tool which is us...
9
tesis de maestría
Publicado 2014
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This work is about learning tool wich provides the necessary parameters for a program controlling robots of type LUKAS at the Faculty of Mechanical Engineering. The robot controlling program needs various parameters depending on its environment, like the light intensity distribution, and camera settings as exposure time and gain raw. These values have to be transmitted from the learning tool to the robot controlling software. Chapter one introduces the robots of type LUKAS which are created for the RoboCup Small Size League. Furthermore, it introduces the camera used for image processing. The second chapter explains the learning process according to Christoph UBfeller and deduces the requirements for this work. In the third chapter theoretical basics concerning image processing, wich are fundamental for this work, are explained. Chapter 4 describes the developed learning tool which is us...
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 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...
12
artículo
Publicado 2017
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Peruvian retail market today, more than ever, has turned the phrase “everything goes through the eyes” into a competitive tool. The design and optimization of space, as well as visual merchandising, are techniques that impact the sale new concepts such as omnicanality and buying experience are fed by data analytics in order to describe the commercial mode; and new qualitative sources of information, among them color theory, specially help to understand and predict the impact of future decisions on the point of sale. This paper describes the utility of image processing techniques to innovate the retail market in the effort to extract useful information from advertising pieces frequently used in this sector.
13
artículo
Publicado 2017
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Peruvian retail market today, more than ever, has turned the phrase “everything goes through the eyes” into a competitive tool. The design and optimization of space, as well as visual merchandising, are techniques that impact the sale new concepts such as omnicanality and buying experience are fed by data analytics in order to describe the commercial mode; and new qualitative sources of information, among them color theory, specially help to understand and predict the impact of future decisions on the point of sale. This paper describes the utility of image processing techniques to innovate the retail market in the effort to extract useful information from advertising pieces frequently used in this sector.
14
artículo
Digital Image Processing (DIP) books teach algorithms to digitally operate on images and include some figures to show the effects of those mathematical tools. In this report the creation of Imagery, a Virtual Laboratory for computer-assisted education (teaching and learning) of DIP is reported. Imagery can be used in the classroom, in the laboratory or at home. This software was developed to be used as a DIP laboratory, allowing the user to experiment with DIP algorithms, enabling him to see their effects on his own images. In the classroom Imagery helps the teacher in the exposition of the DIP topics he is covering; in the laboratory, Imagery can be used to carry out experiments supporting the topics covered in class; at home, this Virtual Lab can be used by the student to practice and thus reinforce the knowledge acquired in class. This software may also be used by the independent stud...
15
objeto de conferencia
Publicado 2022
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In these times of pandemic, hospitals are being the focus of many innovations, not only for the adaptation to telemedicine, but also from the perspective of the use and processing of the multiple modalities of medical images, where we find images made up of a single Image such as x-rays, images that are made up of a sequence of images such as tomography and Magnetic Resonance, or in video format as is the case with ultrasound and angiography. One way of working with images is through popular image servers that connect to medical equipment for transfer and storage. In the process of visualization and processing, special workstations with good computational capacity are required for these purposes, in most cases these workstations are connected in the network of medical offices, therefore they are presented in a normal working image display requests at the same time. The methodology presen...
16
objeto de conferencia
Publicado 2022
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ACM-2022: Algorithms Computing and Mathematics Conference, August 29 – 30, 2022, Chennai, India.
17
artículo
Publicado 2022
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In this research satellite image classification for environmental change prediction using image processing and machine learning methods is used. As we know satellite images is one of the important sources of collecting information for all area and region of interest which is suitable for any difficult situation around the world. The satellite image helps in collecting information on areas which is unpredictable and unreachable through digital cameras. In this research work, an advanced study on environmental change perdition has been examined using three classes’ ice land area, cropland area, and forest area. This research help in characterizing the type of satellite image classification for the particular three classes. The following stages have been considered are preprocessing, segmentation, and classification methods using K- Nearest Neighbor classifier. The present investigation r...
18
artículo
El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
19
tesis de grado
Publicado 2025
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Este artículo presenta un nuevo marco de diseño y optimización para un flujo de procesamiento de imágenes impulsado por inteligencia artificial (IA), dedicado a cámaras inteligentes, que supera los principales desafíos relacionados con la eficiencia computacional, el consumo de energía y la flexibilidad. El flujo de trabajo propuesto integra modelos de aprendizaje profundo de última generación, como YOLOv5 y Faster R-CNN, junto con técnicas de optimización, incluyendo la cuantización y poda de modelos. La arquitectura modular es flexible para la integración de nuevos algoritmos y tecnologías. Se realizó una validación exhaustiva en contextos de vigilancia del tráfico urbano y seguridad residencial en Arequipa, Perú, la cual muestra mejoras significativas en precisión, velocidad de procesamiento y eficiencia energética. El flujo desplegado alcanza, en promedio, un 92% ...
20
objeto de conferencia
Publicado 2023
Enlace
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21st LACCEI International Multi-Conference for Engineering, Education, and Technology: “Leadership in Education and Innovation in Engineering in the Framework of Global Transformations: Integration and Alliances for Integral Development”, Hybrid Event.
