Basic fundamentals of AC electrogravimetry are introduced. Their main requirements and characteri... more Basic fundamentals of AC electrogravimetry are introduced. Their main requirements and characteristics are detailed to establish the design of an electronic system that allows the appropriate extraction of data needed to determine the electrogravimetric transfer function (EGTF) and electrochemical impedance (EI), in an experimental set-up for the AC electrogravimetry technique. Resumen: Se presentan los fundamentos de la electrogravimetria AC con el fin de establecer las caracteristicas y requisitos principales que debe reunir un sistema electronico que permita la extraccion adecuada de los datos necesarios para determinar la funcion de transferencia electrogravimetrica (EGTF) y la impedancia electroquimica (EI) en un sistema experimental de la tecnica de electrogravimetria AC.
Network-on-Chip (NoC) is a growing and promising communication para- digm for Multiprocessor-Syst... more Network-on-Chip (NoC) is a growing and promising communication para- digm for Multiprocessor-System-On-Chip (MPSoC) design, because of its scalability and performance features. In designing such systems, mapping and scheduling are be- coming critical stages, because of the increase of both size of the network and appli- cation's complexity. Some reported solutions solve each issue independently. However, a conjoint approach for solving mapping and scheduling allows to take into account both computation and communication objectives simultaneously. This paper shows a mapping and scheduling solution, which is based on a Population-Based Incremental Learning (PBIL) algorithm. The simulation results suggest that our PBIL approach is able to find optimal mapping and scheduling, in a multi-objective fashion. A 2-D heterogeneous mesh was used as target architecture for implementation, although the PBIL representation is suited to deal with more complex architectures, such as 3-D meshes.
2021 2nd Sustainable Cities Latin America Conference (SCLA), 2021
Public Safety is one of the main fields of research in Smart Cities; this is because the sense of... more Public Safety is one of the main fields of research in Smart Cities; this is because the sense of security in people can affect the development of a city or region. Crime is one of the main factors affecting security. Different hypotheses have been proposed to explain the behavior of criminal activities and formulate strategies that allow security forces to improve patrol plans and respond quickly to situations that affect the safety of citizens. Some hypotheses suggest that weather conditions influence people's behavior, while others point to a direct relationship between the unemployment rate and the increase in criminal activities. In addition, some theories allude that the poor infrastructure maintenance conditions of the place can incite crime. This work explores various hypotheses of criminal behavior in Medellin, one of the main cities in Colombia, and is recognized for having appreciable rates associated with crime. Databases are used with information on crimes in the city between 2015 and 2019, information from various meteorological stations located in different parts of the city, and a demographic variable obtained from the national statistical database. The analysis shows that about 30% of crime is concentrated downtown; the rush hour, which is between 6:00 p.m. and 8:00 p.m., is the time of day with the highest number of incidents; events such as salary payments and festivals also affect the metrics; moreover, an influence close to 35% of the unemployment rate is perceived in the crime variation. Finally, there is no evidence of a direct relationship between crime and temperature variation.
2021 2nd Sustainable Cities Latin America Conference (SCLA), 2021
Crime is one of the most severe social problems in developed and emerging countries, and it affec... more Crime is one of the most severe social problems in developed and emerging countries, and it affects welfare, economy, and regional development. The study of criminal behavior is significant to the formulation of new law enforcement strategies for crime prevention and control. In addition, some governments have implemented projects in a smart cities context to make available some databases related to various phenomena that occur inside their cities, including those associated with criminal acts. Medellin, Colombia, has several public databases where it is possible to get information about mobility, education, infrastructure, health, and security. In this work, some Machine Learning models are developed and evaluated for crime hotspots prediction using available geographical, temporal and demographic information available in Medellin for a period between 2015 and 2019. The work analyzes the implications of selecting geographic divisions and the separation of time intervals in the models. As a result, it was found that the models based on Decision Trees present an F1-Score of 88.2 % and have better performance than models based on Logistic Regression and Neural Networks (MLP).
2016 IEEE Colombian Conference on Communications and Computing (COLCOM), 2016
The use of emerging Wireless Body Area Network (WBAN) technologies in medical applications could ... more The use of emerging Wireless Body Area Network (WBAN) technologies in medical applications could help to address the problem of the increasing number of chronic patients worldwide. Despite the plethora of medical mobile applications, the use of WBAN technology for health care services at a home environments is just emerging. This work presents the design process of a WBAN system aimed to support in-home health care services of patients with chronic heart and respiratory diseases. The design process starts with a set of value co-creation exercises to specify system requirements that yields to a conceptual prototype, and later to a hardware/software implementation. A system prototype is evaluated in terms of latency, wireless communication packet loss, and power consumption, showing that it is suitable for supporting health care services at home.
2010 IEEE Electronics, Robotics and Automotive Mechanics Conference, 2010
In this paper a methodology to perform optimizations in the hardware implementation of a speech r... more In this paper a methodology to perform optimizations in the hardware implementation of a speech recognizer is presented; this methodology explores the design space from a very high level representation of the algorithm. We expose how to accelerate the process of speech recognition by exploiting the inherently concurrent decoding stage. Finally, we show the cost in terms of hardware resources
2012 VI Andean Region International Conference, 2012
ABSTRACT This paper presents a continuous and non-invasive blood pressure monitoring system, whic... more ABSTRACT This paper presents a continuous and non-invasive blood pressure monitoring system, which can measure the blood pressure without the use of a inflatable cuff. A wearable IEEE 802.15.4-based Wireless Body Sensor Network (WBSN) composed by a photoplethysmographic (PPG) sensor node located on the forehead, and an electrocardiographic sensor node located on the chest, is used to measure the propagation time of the pressure wave from the chest to the forehead. This propagation time is related with the user blood pressure through a mathematical model, which is solved by the WBSN without sending raw signals from the sensors to a more complex device, such as a laptop or cell phone. On-node processing and blood pressure cuff-free estimation allow reducing energy consumption, while the location of the sensor nodes provides the user with a complete freedom of movement. After evaluating the system, experimental results show that the proposed system has the potential for constantly and non-invasively measuring the blood pressure of a person during daily activities.
2012 IEEE 3rd Latin American Symposium on Circuits and Systems (LASCAS), 2012
This paper shows a multi-purpose System-on-Chip (SoC) platform for rapid prototyping of computati... more This paper shows a multi-purpose System-on-Chip (SoC) platform for rapid prototyping of computation and data intensive applications. The platform is composed of an Intellectual property (IP) modules resource library, a 2D mesh Network-on-Chip (NoC) as communication infrastructure which scales to an arbitrary number of resources, avoiding bus-based communication. A general scheme to plug any IP resource into the network and
Basic fundamentals of AC electrogravimetry are introduced. Their main requirements and characteri... more Basic fundamentals of AC electrogravimetry are introduced. Their main requirements and characteristics are detailed to establish the design of an electronic system that allows the appropriate extraction of data needed to determine the electrogravimetric transfer function (EGTF) and electrochemical impedance (EI), in an experimental set-up for the AC electrogravimetry technique. Resumen: Se presentan los fundamentos de la electrogravimetria AC con el fin de establecer las caracteristicas y requisitos principales que debe reunir un sistema electronico que permita la extraccion adecuada de los datos necesarios para determinar la funcion de transferencia electrogravimetrica (EGTF) y la impedancia electroquimica (EI) en un sistema experimental de la tecnica de electrogravimetria AC.
Network-on-Chip (NoC) is a growing and promising communication para- digm for Multiprocessor-Syst... more Network-on-Chip (NoC) is a growing and promising communication para- digm for Multiprocessor-System-On-Chip (MPSoC) design, because of its scalability and performance features. In designing such systems, mapping and scheduling are be- coming critical stages, because of the increase of both size of the network and appli- cation's complexity. Some reported solutions solve each issue independently. However, a conjoint approach for solving mapping and scheduling allows to take into account both computation and communication objectives simultaneously. This paper shows a mapping and scheduling solution, which is based on a Population-Based Incremental Learning (PBIL) algorithm. The simulation results suggest that our PBIL approach is able to find optimal mapping and scheduling, in a multi-objective fashion. A 2-D heterogeneous mesh was used as target architecture for implementation, although the PBIL representation is suited to deal with more complex architectures, such as 3-D meshes.
2021 2nd Sustainable Cities Latin America Conference (SCLA), 2021
Public Safety is one of the main fields of research in Smart Cities; this is because the sense of... more Public Safety is one of the main fields of research in Smart Cities; this is because the sense of security in people can affect the development of a city or region. Crime is one of the main factors affecting security. Different hypotheses have been proposed to explain the behavior of criminal activities and formulate strategies that allow security forces to improve patrol plans and respond quickly to situations that affect the safety of citizens. Some hypotheses suggest that weather conditions influence people's behavior, while others point to a direct relationship between the unemployment rate and the increase in criminal activities. In addition, some theories allude that the poor infrastructure maintenance conditions of the place can incite crime. This work explores various hypotheses of criminal behavior in Medellin, one of the main cities in Colombia, and is recognized for having appreciable rates associated with crime. Databases are used with information on crimes in the city between 2015 and 2019, information from various meteorological stations located in different parts of the city, and a demographic variable obtained from the national statistical database. The analysis shows that about 30% of crime is concentrated downtown; the rush hour, which is between 6:00 p.m. and 8:00 p.m., is the time of day with the highest number of incidents; events such as salary payments and festivals also affect the metrics; moreover, an influence close to 35% of the unemployment rate is perceived in the crime variation. Finally, there is no evidence of a direct relationship between crime and temperature variation.
2021 2nd Sustainable Cities Latin America Conference (SCLA), 2021
Crime is one of the most severe social problems in developed and emerging countries, and it affec... more Crime is one of the most severe social problems in developed and emerging countries, and it affects welfare, economy, and regional development. The study of criminal behavior is significant to the formulation of new law enforcement strategies for crime prevention and control. In addition, some governments have implemented projects in a smart cities context to make available some databases related to various phenomena that occur inside their cities, including those associated with criminal acts. Medellin, Colombia, has several public databases where it is possible to get information about mobility, education, infrastructure, health, and security. In this work, some Machine Learning models are developed and evaluated for crime hotspots prediction using available geographical, temporal and demographic information available in Medellin for a period between 2015 and 2019. The work analyzes the implications of selecting geographic divisions and the separation of time intervals in the models. As a result, it was found that the models based on Decision Trees present an F1-Score of 88.2 % and have better performance than models based on Logistic Regression and Neural Networks (MLP).
2016 IEEE Colombian Conference on Communications and Computing (COLCOM), 2016
The use of emerging Wireless Body Area Network (WBAN) technologies in medical applications could ... more The use of emerging Wireless Body Area Network (WBAN) technologies in medical applications could help to address the problem of the increasing number of chronic patients worldwide. Despite the plethora of medical mobile applications, the use of WBAN technology for health care services at a home environments is just emerging. This work presents the design process of a WBAN system aimed to support in-home health care services of patients with chronic heart and respiratory diseases. The design process starts with a set of value co-creation exercises to specify system requirements that yields to a conceptual prototype, and later to a hardware/software implementation. A system prototype is evaluated in terms of latency, wireless communication packet loss, and power consumption, showing that it is suitable for supporting health care services at home.
2010 IEEE Electronics, Robotics and Automotive Mechanics Conference, 2010
In this paper a methodology to perform optimizations in the hardware implementation of a speech r... more In this paper a methodology to perform optimizations in the hardware implementation of a speech recognizer is presented; this methodology explores the design space from a very high level representation of the algorithm. We expose how to accelerate the process of speech recognition by exploiting the inherently concurrent decoding stage. Finally, we show the cost in terms of hardware resources
2012 VI Andean Region International Conference, 2012
ABSTRACT This paper presents a continuous and non-invasive blood pressure monitoring system, whic... more ABSTRACT This paper presents a continuous and non-invasive blood pressure monitoring system, which can measure the blood pressure without the use of a inflatable cuff. A wearable IEEE 802.15.4-based Wireless Body Sensor Network (WBSN) composed by a photoplethysmographic (PPG) sensor node located on the forehead, and an electrocardiographic sensor node located on the chest, is used to measure the propagation time of the pressure wave from the chest to the forehead. This propagation time is related with the user blood pressure through a mathematical model, which is solved by the WBSN without sending raw signals from the sensors to a more complex device, such as a laptop or cell phone. On-node processing and blood pressure cuff-free estimation allow reducing energy consumption, while the location of the sensor nodes provides the user with a complete freedom of movement. After evaluating the system, experimental results show that the proposed system has the potential for constantly and non-invasively measuring the blood pressure of a person during daily activities.
2012 IEEE 3rd Latin American Symposium on Circuits and Systems (LASCAS), 2012
This paper shows a multi-purpose System-on-Chip (SoC) platform for rapid prototyping of computati... more This paper shows a multi-purpose System-on-Chip (SoC) platform for rapid prototyping of computation and data intensive applications. The platform is composed of an Intellectual property (IP) modules resource library, a 2D mesh Network-on-Chip (NoC) as communication infrastructure which scales to an arbitrary number of resources, avoiding bus-based communication. A general scheme to plug any IP resource into the network and
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