Edmanuel Cruz

Technological University of Panama | UTP · Departamento de Computación y Simulación de Sistemas

This paper presents a study that evaluates the usability and user experience of a mobile application interface for residential energy management, adopting a hybrid approach that integrates quantitative and qualitative methods within a user-centered design framework. For the evaluation, metrics and tools such as the User Experience Questionnaire Sho...

The paper presents a proposed queuing model based on Kendall’s notation for the intersection of two streets in Panama City (53 East and 56 East). The proposed model is based on a set of traffic lights that controls the flow of vehicles at the intersection according to a predetermined schedule. The model analyzes the stability of the system and simu...

In recent years, the integration of new elements to the electric grid, such as electric vehicles and renewable energies, requires the evolution of the electric grid as we know it, making it necessary to optimize the processes of production, distribution, and storage of energy. This situation gives rise to introducing the so-called Smart Grids (SG),...

Intersections within urban centers do not allow all citizens to move in a fluid manner. In this sense, this paper proposes a queuing network model based on Kendall's notation for the intersection of two urban streets (East 53rd Street and East 56th Street) in Panama City. A set of traffic lights operating under a fixed time scheme controls the vehi...

Variables como el cambio climático, las sequías, los huracanes, la deforestación y el uso indiscriminado de plaguicidas desencadenan constantemente la presencia de insectos plagas en el país, así como de potenciales plagas invasoras que encuentran las condiciones necesarias para establecerse y causar daños en los cultivos sensibles del país. La ent...

The use of semantic representations to achieve place understanding has been widely studied using indoor information. This kind of data can then be used for navigation, localization, and place identification using mobile devices. Nevertheless, applying this approach to outdoor data involves certain non-trivial procedures, such as gathering the infor...

En los últimos años, técnicas de Inteligencia Artificial (IA) como el aprendizaje automático o Machine Learning (ML) y el Aprendizaje profundo o Deep Learning (DL), han impactado de forma positiva el avance de distintos campos del conocimiento entre ellos la educación. La educación es un importante motor de todas las sociedades, permite a los indiv...

Over one billion people in the world live with some form of disability. This is incessantly increasing due to aging population and chronic diseases. Among the emerging social needs, rehabilitation services are the most required. However, they are scarce and expensive what considerably limits access to them. In this paper, we propose EVA, an augment...

Predicting the condition of the road is an important task for autonomous vehicles to make driving decisions. Vehicles are expected to slow down or stop for potential road risks such as road cracks, bumps and potholes. Vision systems are widely used to provide such information given the rich colours and textures carried by images. This paper present...

The capacity of a robot to automatically adapt to new environments is crucial, especially in social robotics. Often, when these robots are deployed in home or office environments, they tend to fail because they lack the ability to adapt to new and continuously changing scenarios. In order to accomplish this task, robots must obtain new information...

As it is well known, some versions of the Pepper robot provide poor depth perception due to the lenses it has in front of the tridimensional sensor. In this paper, we present a method to improving that faulty 3D perception. Our proposal is based on a combination of the actual depth readings of Pepper and a deep learning-based monocular depth estima...

In several large retail stores, such as malls, sport or food stores, the customer often feels lost due to the difficulty in finding a product. Although these large stores usually have visual signs to guide customers toward specific products, sometimes these signs are also hard to find and are not updated. In this paper, we propose a system that joi...

In this paper, we propose a new dataset for outdoor depth estimation from single and stereo RGB images. The dataset was acquired from the point of view of a pedestrian. Currently, the most novel approaches take advantage of deep learning-based techniques, which have proven to outperform traditional state-of-the-art computer vision methods. Nonethel...

As estimated by the World Health Organization, there are millions of people who lives with some form of vision impairment. As a consequence, some of them present mobility problems in outdoor environments. With the aim of helping them, we propose in this work a system which is capable of delivering the position of potential obstacles in outdoor scen...

In social robotics, it is important that a mobile robot knows where it is because it provides a starting point for other activities such as moving from one room to another. As a contribution to solving this problem in the field of the semantic location of the mobile robot, we pro- pose to implement a methodology of recognition and scene learning in...

The robot Pepper provides a bad depth estimation. In this paper, we present a method for improving that 3D estimation. The method is based on using the RGB image to predict monocular depth. As it will be shown, the combination of both, monocular and 3D depth, provides a better 3D data.

The accelerated growing of the percentage of elder people, persons with brain-injured related conditions and intellectually challenged are some of the main concerns of the developed countries. These persons often require special cares and even almost permanent overseers that help them to carry out diary tasks. With this issue in mind, we propose an...

Semantic localization for mobile robots involves an accurate determination of the kind of place where a robot is located. Therefore, the representation of the knowledge of this place is crucial for the robot. In this paper we present a study for finding a robust model for scene classification procedure for a mobile robot. The proposed system uses C...

Nowadays, different technologies provide support to different areas of our diverse lifestyles around the world. Highly reputable companies are doing important research on the connectivity of multiple devices to the different types of network. The open Short Path First Protocol (OSPF) is one of the most widespread routing protocols in communications...