Volumen 6 No. especial (2015) TIC. EC: Congreso Ecuatoriano de Tecnologías de la Información y de las Comunicaciones
Permanent URI for this collectionhttps://dspace-test.ucuenca.edu.ec/handle/123456789/23777
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Browsing Volumen 6 No. especial (2015) TIC. EC: Congreso Ecuatoriano de Tecnologías de la Información y de las Comunicaciones by Author "Carvajal, Jorge"
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Item Desarrollo de sistemas receptores de AM, FM y ADS-B utilizando radio definida por software, hardware y software libre(Universidad de Cuenca, 2015) Romero, Santiago; Tipantuña, Christian; Estrada, José Antonio; Carvajal, Jorge; Universidad de Cuenca; Dirección de Investigación de la Universidad de Cuenca; DIUCThis paper describes in real applications the potential and flexibility of the Software Defined Radio (SDR) technology, for this purpose the development of different low-cost communications systems using open source hardware and software is shown. The AM, FM and ADS-B receivers described in this paper have been developed using a credit card size computer Raspberry Pi and a module RTL-SDR as hardware platform; on the other hand as software platform is used the distribution Raspbian, GNU Radio toolkit and the software Dump 1090.Item Procesamiento de datos de espectrometría de masas: algoritmos y metodologías(Universidad de Cuenca, 2015) Calle, Sofía; Chasiluisa, Silvia; Carvajal, Jorge; Herrera, Roberto; Universidad de Cuenca; Dirección de Investigación de la Universidad de Cuenca; DIUCCancer is an asymptomatic disease at an early stage and very difficult to diagnose in many cases it is not perceived until it has already reached the stage of metastasis, spreading in other organs of the body. It is the second cause of death in Ecuador despite progress made in recent years have been revolutionary, there are cases where the cancer is detected in its terminal stage and still has not found any scientific or empirical methodology to indicate the presence of this pathology. Traditional methods of diagnosing cancer in any of its types are relatively ineffective in early stages, using invasive methods and at risk of being detected as false positive or false negative. Research centers and universities have joined forces to seek alternative diagnosis and treatment of cancer using methods to improve the efficiency of diagnosis and detection of cancer in its early stages. This paper discusses a group of algorithms and methodologies for processing data sets of mass spectrometry measurements of cancer and normal analyzed samples using computing platforms aimed at improving the quality of measurements for biomarkers definition applications.
