Detection of exudates in diabetic retinopathy images using boosting based algorithms

ABSTRACT Diabetic retinopathy is a leading cause of vision loss in developed countries. Regular diabetic retinal eye screenings are needed to detect early signs of retinopathy, so that appropriate treatments can be rendered to prevent blindness. Digital imaging is becoming available as a means of screening for diabetic retinopathy. However, with the large number of patients undergoing screenings, medical professionals require a tremendous amount of time and effort in order to analyse and diagnose the fundus photo-graphs, the treatment is done on a digital image, to obtain results as complex as recognizing patterns or as simple as enhancing con-tours, may involve filtering, transformations of gray levels, based on histogram processing, describing, between others. The design of a teaching tool to facilitate image processing, allowing access to each of the steps involved in the system, ensure the achievement of good results supported the implementation of parameterized and interactive techniques supported. In the classification of pathological images is the marking of the images to see them done after the pre-processing, which are marked to be admitted to the boosting algorithm, is used mainly variant gentleBoost, and supported in the basic concepts of image processing

Low-cost methodology for monitoring municipal land fills, based on the use of satellite images

ABSTRACT Caring for the environment is one of the main criteria in the administration of cities, therefore it is necessary to have places where waste generated in cities is managed, between the optimal and the real there is a lot of difference This is why in many countries and with emphasis on large cities, there are unofficial places where they are used as municipal dumps, where large tons of solid waste are disposed of daily without going through a selection and recycling mechanism. These dumps are growing out of control and are almost becoming able to live with people. In the present work it is proposed to present a methodology to be able to monitor these dumps and be evaluated from space through the eyes of the observation satellites, which generate satellite images, the methodology proposes a temporary review of the area where the dumps are located In order to monitor its growth and analyze when it puts the urban population at risk, the results are evaluated in the municipal dump called "El Milagro" located in the vicinity of the city of Trujillo located north of Lima, Peru , the City of Trujillo is one of the main cities of Lima, located to the north, it is in the vicinity of this city where one of the largest dumps in Peru is developed. The results show that with the use of satellite images, the growth of these dumps and their impact on the community can be verified

Analysis of the level of concentration and meditation, in the production process in the tasks carried out through the telework modality

ABSTRACT In these moments of confinement, many of the different activities that are carried out in person, are now being prepared in a virtual way. Work is one of the activities that have most adapted to this new way of working, therefore many of the activities that cannot be carried out in person, are developed in the form of teleworking. This new reality has made our house become the office, and with it new ways of distracting us arise, such as having to do chores at home, our children who are also in online class, the tasks of the house, among other activities of the house. In the present work, the levels of attention and meditation in the moments that the person is teleworking are evaluated by means of a computer brain device, the results indicate that people are very distracted at home as a result of the distracting agents; there is a greater degree of concentration when these distracting agents are removed

Study on the effects of online classes, product of the pandemic produced by covid-19

ABSTRACT The present work is a systematic review article, better known as an analysis of the state of the art, the work is focused on being able to analyze the different factors that have occurred in the change of the different ways of studying towards the online modality, the The year 2020 was the year of the adaptation of all modalities, all levels, regardless of the social, economic, geographical location, among others, product of the pandemic produced by COVID-19, a temporary study of publications was carried out related to the changes that have occurred in all the actors of the world educational system, presented a summary table with the important data in each of the studies, as well as a description of the study, in total 10 scientific articles published in different journals were taken all of them indexed in SCOPUS and in most of the continents, presenting at the end a conclusion regarding the analyzed jobs and positions at your service

Computational model, based on machine learning, to predict the level of success in legal cases

ABSTRACT With the development of information and communication technologies, new opportunities and applications of many technologies are emerging that before could not be thought to be used, in this sense artificial intelligence is the technology that has gained greater strength, accompanied by the development of hardware that makes its execution possible and of software tools that make its implementation possible. The neural network is one of the most used techniques in the field of artificial intelligence. This work is based on analyzing possible cases of labor judicial problems, when workers who have suffered an abuse by employers are faced with. The success of the case according to the model presented, is based on being able to have the majority of documentation that evidences both the employment relationship, responsibilities of the employees, documents that support the payment of remuneration, documents that evidence any fault committed by the employee between others, a computational model was developed with a graphical user interface to make its application more practical. The model presents an effectiveness level of 93%, analyzed with 400 cases between positive and negative. For the training process, 100 cases corresponding to positive cases and 100 cases corresponding to negative cases were used. The model is practical in its use and can be scalable to different areas in the legal field

Methodological proposal on safety in the transmission of medical images in telehealth systems

ABSTRACT Information and communication technologies are managing to modify certain essential aspects in the lives of forgives, one of the positive impacts on the lives of people and even more so in the communities, is related to the democratization of health, bringing health For most people, it improves the quality of life, thus, the objective of this work is to be able to present a practical methodology, to be able to carry out a remote diagnosis, through the analysis of medical images, whether of any type or modality, the methodology is very practical because it does not require high value infrastructure, on the contrary it is considered as low cost, because we use computational resources that are available. The methodology allows a diagnosis by a doctor specializing in radiology, who being at a distance can help the diagnosis. The methodology allows the transmission of information, essential, which corresponds to the identification of the affected areas or that are considered with alterations in the image, this process consists of defining a mask for identification, the doctor who performs the diagnosis does not require sending the original image, otherwise it only requires the sending of the marking, with this you can use simple information delivery mechanisms that do not consume much resources, this is one of its strengths of the methodology. As a result, we present a simulation of the methodology, using computerized tomography images of the Brain, where foreign objects are identified in the image, we proceeded to use the methodology, where the DICOM image was converted to PNG; then we proceeded to mark the foreign objects in the image, and finally the image was obtained with all the markings, this image is sent to the health center of origin, for registration. The methodology can be replicated, used and adapted to each of the characteristics and needs of each health center

Muscle temperature analysis, using thermal imaging, applied to the treatment of muscle recovery

The images help in the different processes where a visual interpretation of a scene is required, in this sense we find many applications where images are used to analyze, interpret and classify certain objects within the image, there are different types of images generated by different sensors, in this paper describes a method to analyze the behavior of the muscle, mainly of the knee, when performing rehabilitation exercises, coupled with an optical image where you can see the state of the muscle and the location, the method proposed as a super position between optical and thermal images, with the intention of being able to know the state of the optical image and to have the same image with information of the behavior of the temperature, the super position that we propose is to have as a base the optical image and on placing the thermal image, the results that are presented are oriented in proposing a new way of analyzing data with thermal information of the behavior of the muscles, by means of a complex image with optical and thermal information, the method is an aid in the treatment of muscular recovery, with the benefits of being scalable and applicable to other muscles and parts of the human body