Volumen 14 (2021): Edición 1 (September 2021)

In this paper we present an updated version of the audio database acquired by the TIAGo service robot and by the simulated TIAGo service robot. To the initial database which consists in 1380 audio signals we have added 1920 more acoustic signals. The audio database consists now in 3300 isolated audio events corresponding to 110 classes. All the recorded sound events correspond to the indoor environment, and they are spread into five different scenarios: kitchen, room, appliances, voice and non-verbal. The audio database is intended to be used in order to identify indoor events based on audio signature, especially when elderly or chronically ill people live alone.

The paper analyses the way of design of photovoltaic systems. The objective of this paper is to study the production capacity of electrical energy and the way it is influenced by real time conditions. In order to realize some energetic models that could be implemented on a large scale and used as a model of good practice we used photovoltaic systems of 3 dimensions: 60 PV panels, 100 PV panels and 160 PV panels respectively. The present study considered the climate conditions of the city of Cluj-Napoca for 12 months. It considered the consumption profile (hourly consumption) and the period of the year (summer, winter, etc.) for 3 typical buildings. We used Matlab/Simulink software for simulations. The result is an estimation of the production of electrical energy for renewable sources and the reduction of GreenHouse Gases (GHG). The aim is to reduce both GHG and the energy consumption from conventional sources.

Nowadays programmers write source code for inserting, editing and deleting records of a relational table. The majority of commercial relational databases include a specific management tool that offers such possibilities and most database programmers take this ability as granted. When it comes to real life applications, programmers use Object Oriented (OO) paradigm to build user friendly windows/screens/forms for database operations. The current work shows a different approach using a Low-code CRUD (Create, Read, Update, Delete) framework. Views and guidelines of how to design a Low-code CRUD framework will be detailed. “Low-code” motivation is due to the fact that the new framework will provide the ability to use less code in order to build fast and efficient complex applications. It will be up to the reader to envision a specific framework.

In this paper we present the partial results of a research in progress made in order to develop a prototype of a self-driving car’s controller and processing unit. The framework that we used consisted of a camera for input of visual imagery information (Logitech 720p), a laser range finder for depth and object sensing (Parallax; PulsedLight LIDAR-Lite v2), and the main processing board, an FPGA based accelerator board PYNQ Z2.

The goal of this paper is to create a security system to identify a specific person who wants to access private information or enter a building using their voice. To perform this system, we identified a database containing the audio files of the users who will be able to authenticate with this system. Several steps were sequentially performed in order to extract the characteristics of the Mel Frequency Cepstral Coefficients from the audio files. Based on the k-Nearest Neighbor algorithm with an Euclidean distance and 4 neighbors, a training model was created. Through experimental results we prove in two ways, using confusion matrix and scatter plot, that the overall voice fingerprint recognition is 100%, for this particular configuration.