Editorial

Abstract

This issue of the Polytechnic Open Library International Bulletin of Information Technology and Science (POLIBITS) includes ten papers by authors from Peru, India, Brazil, Mexico. The majority of the papers included in this issue are devoted to the general topic of emerging challenges and trends in business intelligence, including such specific topics as software development, pattern recognition, natural language processing, forecasting, Internet of things, time series analysis, as well as optimization and multi-objective optimization. E. Rodriguez-Martinez et al. in their paper “Parallel Implementation of db6 Wavelet Transform” describe a data level parallelization strategy for accelerating the discrete Wavelet transform (DWT), the paper provides a detailed analysis of parallel DWT implementations using different architectures, demonstrating the effectiveness of GPU acceleration for improving performance in DWT computations. F. Moreno-Vera et al. in their paper “Urban Perception: Can we understand why a street is safe” investigate the relationship between urban visual components and the perception of safety in cities. It begins by highlighting the importance of urban perception computing in understanding how cities influence their inhabitants. The study focuses on analyzing street-level images to understand safety perception based on visual components, the paper contributes to understanding the relationship between urban visual components and safety perception, providing insights that can inform urban planning and design decisions. Sachin Pawar et al. in their paper “Extracting N-ary Cross sentence Relations using Constrained Subsequence Kernel”, introduce a new formulation for relation extraction, where relations can span multiple sentences and involve more than two arguments. It addresses the challenge of identifying relations within the scope of a document, rather than at the corpus level. The proposed approach involves constructing a novel sequence representation for relation instances and exploring various classifiers, including Support Vector Machines (SVM) with a Constrained Subsequence Kernel (CSK) and LSTM-based classifiers. A. Torres Soto et al. in their paper “Representation and Evaluation Mechanisms for Evolutionary Design of Analog Circuits” present a comprehensive approach to the evolutionary design of analog circuits, focusing on two key elements: the representation mechanism and the evaluation mechanism. The authors highlight the challenges involved in automatic analog circuit design, emphasizing the need for efficient tools to aid in this complex process, the paper provides valuable insights into the development of effective tools for evolutionary design of analog circuits, offering a promising framework for addressing the complexities inherent in this domain. A. Gallegos et al. in their paper “Feature Subset Selection in Electroencephalographic Signals Using Typical Testors” address the challenge of classifying motor imagery (MI) signals recorded by an electroencephalogram (EEG) for the development of brain-computer interface (BCI) systems. The paper presents a methodological framework for feature subset selection in MI-EEG signals using testor theory, aiming to enhance the efficiency of BCI systems. This issue of the journal will be useful to researchers, students, and practitioners working in the corresponding areas, as well as to public in general interested in advances in computer science, computer engineering.