Examinando por Autor "Ariza-Colpas, Paola"
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Ítem Implementation of a wireless system architecture of conductivity temperature and pressure sensors for support the identification of the salt wedge and its impact on safety Maritime in estuary of the Magdalena River - A case study(Elsevier, 2020) Ariza-Colpas, Paola; Sanchez-Moreno, Hernando; Pineres-Melo, Marlon; Morales-Ortega, Roberto; Ayala-Mantilla, Cristian; Villate-Daza, Diego; De-la Hoz-, Franco Emiro; Collazos-Morales, CarlosThis article aims to show the components of a wireless sensor system to measure temperature, conductivity and pressure at the mouth of the Magdalena River - Colombia. This analysis was carried out jointly with the General Maritime Directorate of Colombia. The measurements will be carried out underwater, with the buoys currently available in the navigable channel, which will work with solar energy and the data will be sent via Bluetooth, Wifi or Ethernet. With the data received by the sensor network, different analyzes will be carried out through the implementation of different data mining techniques, which will support the decision making of government entities. Through the implementation of this architecture, different behaviors found in the estuary will be identified and there will be real-time information that favors maritime safety in the navigable channel.Ítem Machine Learning approach applied to Human Activity Recognition – An application to the VanKasteren dataset(Elsevier, 2021) Ariza-Colpas, Paola; Oñate-Bowen, Alvaro Agustín; Suarez-Brieva, Eydy del Carmen; Oviedo-Carrascal, Ana; Urina Triana, Miguel; Piñeres-Melo, Marlon; Butt, Shariq Aziz,; Collazos Morales, Carlos Andrés; Ramayo González, Ramón EnriqueReminders are a core component of many assistive technology systems and are aimed specifically at helping people with dementia function more independently by compensating for cognitive deficits. These technologies are often utilized for prospective reminding, reminiscence, or within coaching-based systems. Traditionally, reminders have taken the form of nontechnology based aids, such as diaries, notebooks, cue cards and white boards. This article is based on the use of machine learning algorithms for the detection of Alzheimer’s disease. In the experimentation, the LWL, SimpleLogistic, Logistic, MultiLayerPercepton and HiperPipes algorithms were used. The result showed that the LWL algorithm produced the following results: Accuracy 98.81%, Precission 100%, Recall 97.62% and F- measure 98.80%Ítem Software Applications to Health Sector: A Systematic Review of Literature(Medwell Journals (Scientific Research Publishing Company), 2018) Calabria- Sarmiento, Juan C.; Ariza-Colpas, Paola; Pineres-Melo, Marlon; Ayala-Mantilla, Cristian; Urina-Triana, Miguel; Morales-Ortega, Roberto; Peluffo-Martinez, Gabriel; Mendoza-Palechor, Fabio; Echeverri-Ocampo, IsabelTechnology has become a strategic ally for the automation and improvement of processes in the health sector. Many of the current developments have supported the automatic, efficient and efficient detection of different pathologies which results in quality of life and treatment of patients. This study proposes a systematic review of the literature which compiles different developments that have contributed to the solution of different problems in the sector and the advances that have contributed to the processes of continuous improvement of detection and treatment.