Sistema Regional de Información
en línea para Revistas Científicas de América Latina,
el Caribe, España y Portugal

Software testing as an essential complement in the quality process, have become an important factor for companies. Quality is the result of a series of tests and inspections to be performed at a specific program to check compliance with the requirements defined in the early stages of design. In the branch of computer science, the quality is governed by metrics and specific models that provides important support to validate the software. The way to achieve a higher level of quality requires effort and techniques to help this process. This research contributes to raising the quality of the tests performed to software products that are created in the Digital Signals Department of the CITEC. It has as main goal the development of testing structure of control and testing mutation so as to obtain results through more than one technique of White Box testing. Powerful technologies were used for the development of the tool between the mentioned C++ programming language and development framework Qt, The Visual Paradigm tool was selected for modeling the main diagrams and representations of the system and the construction of the solution was guided by the agile methodology SXP. Further references to architecture and design patterns were applied to provide greater organization to the structure of the application.

The governance of public data used by governments to provide services to citizens must be defined in a frame of reference that guarantees their management in a transparent, agile, accessible and safe way, considering the universal declaration of human rights [14]. the principle of safeguarding the security of the Organization for Economic Cooperation and Development (OECD) [15] and the General Regulation of Data Protection of the European Union [13]. For this purpose, this paper proposes an organizational management model composed of five enablers: 1. Interoperability framework, 2. Prioritization of the digitalization of business processes, 3. Protection of personal data and information security, 4. Digital identification of citizens and 5. Continuous improvement of the quality of services. The implementation of this model will boost the governance of the data; with greater relevance when services are provided to citizens using information and communication technologies (ICT) as part of e-government initiatives; the correct governance and management of public data will allow the sustainability of electronic operations, allowing for effective, safe, agile, modern, competitive, ubiquitous and transparent services; allowing saving time and money to citizens and governments. This document uses the situation of Honduras as an example and proposes the organizational management model with the five components described above, which are presented in their design stage.

The Internet of Things has been incorporated into our lives progressively, bringing with it great benefits for humanity such as having more interconnected and efficient infrastructures and services, generating employment, reducing operating costs and increasing profits. In this sense, the development and installation of advanced sensors for data collection, remote connection computing solutions and other disruptive technologies are marking a process of transformation in the industry; giving rise to what several sectors have called the fourth industrial revolution or Industry 4.0. This article presents a predictive model for the extraction of patterns using data fusion techniques that allow the design of a predictive maintenance model, which allows using a supervised training approach, perform data classification and probabilistically predictive values.

The Brain Computer Interface (BCI from its acronym in English) systems rely on the brain's characteristic of emitting electrical signals, and how through the register of these signals, computer commands controlling systems like wheelchairs with motors can be generated. BCI systems have many applications, but their principal objective relies on offering people with motor impairment the possibility to convey the intention through the electrical signal modulation from theirs brain activity. In this article it’s presented a brief description about what is a Brain Computer Interface (BCI), its characteristics; and are described its origins, evolution, constituent elements, brain’s signal treatment contemplating the cerebral function, and most relevant applications.

This paper presents the optimal design of an optical communications network in smart grids. To analyze the coverage problem, each substation must be defined with their respective georeferenced coordinates. A number of constraints are taken into account, such as performance of each stage in terms of data bit rate requirements, power, bit error rate (BER) and jitter. The purpose of this work is to limit the distances between the substations in order to avoid additional intermediate equipment such as optical signal amplifiers. The optical fibers analyzed are type G.652, G.652b and G.655 implemented inside the OPGW guard cable deployed on the transmission towers in the electrical system. The design of the optical transport network meets to the ITU-T G.959.1 standard for multi-channel short distance applications.

Usability can be expanded using the possibilities offered by the study of User Experience. There are measuring methods aimed to user satisfaction, using experience, cognitive values ​​and subjective elements. In Cuba, informatics processes are implemented. They are regulated through software’s quality management, which is verified by certifying entities. Their foundations rely on policies, legal provisions, norms and established models. In this paper, methods of evaluation of Usability and User Experience were reviewed for Cuban IT products and services. The results obtained, show the state of the art of this subject in the country.

 The resilience concept of distribution networks is an emerging issue, which is proposed as a solution against extreme weather conditions and can be a key factor in the strategy of development of sustainable energy. The infrastructure of the electrical network installed in the tropical region suffers a high degree of affectation due to the stochastic nature of weather. Therefore, this paper offers a routing resilient and deployment of the distribution network based on some meta-heuristic optimization algorithms, approach on the optimal location of the transformers and, minimum spanning tree (MST) based on the PRIM algorithm variant has been applied to find the optimum distribution network routing before, during and after an extreme weather condition, minimizing the distance associated to each bay as an objective function. It should be noted that the model was tested in a real geo-referenced scenario with static loads during the event, using algebraic system MATLAB. To solve the electrical feasibility, the power flow was simulated with the Cymdist software, taking into account the distances of the loads.

The next investigation is focused in optimal transmission line switching (OTS) after presence of N-1 contingency in electrical power system; OTS chance topology transmission system when in the system is produced a fault, in this manner; this methodology search reduce the losses or demand output of the grid, however the principal idea is reducing the probability of blackout. OTS is a flexible method that permit to solve a lot of problems in the Electrical System. The principal problems are losses and operative costs. In this State of art, we detail the OTS equations and a method approximation. The principal idea is keeping the parameters in the minimum operations in Electrical System (voltage, frequency, generation and demand balance), with N-1 contingency; in SEP evaluate the reliability in prefault and postfault. we use reliability indices to evaluate SEP. OTS method, we permit to do a dynamic restructuring of SEP, and the method permit to keep the parameters and reduce the losses in the system, cause by faults.

Taro (Colocasia esculenta) is an edible root grown in tropical and subtropical regions of the world, including Africa, Asia,Hawaii, Central America, South America, the Caribbean and Mexico. In this study, taro chips were processed by two methods of cooking,conventional frying and air frying. The objective of this work was to determine the effect of both methods on the physicochemical and sensorialcharacteristics of the processed chips. The product obtained was tested for moisture, ash, lipid, protein, fibers and sensorial evaluation, in addition,the oxalate content both, in raw taro and the processed chips were determined. The chip by the conventional process showed greater crispy, highfat content (32.53%), lower oxalate concentration (0.40 mg/100 g sample) and higher preference by the consumer, compared to the chip air friedprocess fat contents (fat contents 21.53%, oxalates contents 2.48 mg/ 100 g sample and hardness 40908 gf). In conclusion, it was possible to processtaro chips, a not well known and commercialized root with important nutritional characteristics, such as carbohydrate content. On the other hand,the air frying could be an alternative method to prepare healthy food, reducing fat content and with acceptable sensorial attributes.

A landslide susceptibility map of San Miguelito District (Panama) was derived through the analysis and validation of a bivariatestatistical model, which was developed incorporating Geographic Information System tools (GIS). The dataset considered in this study were alandslide inventory map and parameters maps. For this purpose, the study by was started defining risk management concepts and their relationshipwith the suitable parameters that are involve in slope failures for each risk concept case, which in susceptibility matter maps were made of elevation,slope, curvature, and aspect. Also, proximity to roads and rivers mapping, and a geotechnical map of San Miguelito. In addition, utilizing all disasterregistered at the website Desinventar (2018), two landslide inventory maps were generated. One of them for the model and the other one for thevalidation process. With the generated dataset, was developed the landslide susceptibility index method (LSI) to derive the landslide susceptibilityin the study area, classified in seven levels of probability of landslide occurrence. The outcomes conclude that a 68.2% of San Miguelito shows amoderate to very high landslide susceptibility, where Corregimiento Arnulfo Arias is the most susceptible. According to the validating procedure,the landslide susceptibility map can predict in an 88% of probabilities that a high susceptibility zone in the study area does exist.