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The objective of this paper is to present development results a technological solution supported by artificial intelligence (AI), for the company Servicios Amma S.A.S. This technological solution has the function to allow the correlation of the socio-behavioral characteristics of the customer, with the profile of the operational staff. This will provide the detection of patterns and prediction of consumption behaviors for the service that leads to the identification of opportunities, reduction of dissatisfaction risks, and improvement of the user's service experience. The methodology used in this study is quantitative, therefore, the demographic, social, psychographic, behavioral and lifestyle characteristics of customers and operating personnel of the company, as well as the beneficiary companies, are the variables defined for the development of this research. Additionally, the development of mathematical algorithms will be used to gather information for data correlation and prediction. The results obtained from this research allowed us to develop and program a mobile application and Land Page that allows data entry for the creation of user profiles for customers, employees, and platform administrators. In this way, Servicios Amma S.A.S. will be able to enhance the services it offers with the help of Artificial Intelligence. [ABSTRACT FROM AUTHOR]

Web and mobile applications (Apps) have gained increasing importance as a method of teaching and learning in medical education due to the widespread use of the internet and smartphones. The aim of this review is to describe three Apps, referenced in scientific articles, that can be used to estimate in advance the radiation dose and/or risk of cancer in medical and dental studies. To accomplish this, a bibliographic search was carried out on PubMed and Scielo, using Spanish and English keywords such as radiation, dose, biological effects, medical education, App, dentistry, and medicine. Sixty one (61) articles were selected for their relevance to the topic proposed, with 50% of them published between 2017 and 2022. The results indicate that the use of Apps in health education environments enhances students' knowledge and assists professionals as quick reference tools. Of the three Apps reviewed (Passport Radiation, CALDose_X, and Dental_Dose), Passport Radiation is the oldest and currently unavailable. All three provide data on equivalent human dose and effective dose, and with the exception of Dental_Dose, an estimate of the risk of cancer in various organs and types of examinations. CALDose_X is the only one that can be configured in two languages (English and Portuguese). Both Apps also display visualizations of organic structures and the irradiation field. CALDose_X must be installed, unlike Dental_Dose. CALDose_X and Dental_Dose have been referenced in at least three scientific papers, demonstrating their acceptance within the academic community. Dental_Dose is devoted to the dental field, while CALDose_X is used in the medical field. In conclusion, CALDose_X and Dental_Dose are valuable and reliable tools for precisely estimating equivalent and effective doses in various organs of the body. [ABSTRACT FROM AUTHOR]

This paper presents the results of the study of the influence of concrete curing in compressive strength in warm-rainy climate. Concrete several specimens were emptied in the laboratory, there were curing by three methods and tested for resistance at the ages of 3,7, 14, 28, 56 and 91 days. Compressive strength in weathering is shown to be associated with environmental factors such as precipitation and temperature. [ABSTRACT FROM AUTHOR]

The purpose of this paper is to carry out a literature review on the effects of using wood ash as a component in concrete, in order to determine its mechanical properties and behavior. A review of 80 refereed and indexed articles was carried out. The key words were: "concrete and wood ash, replacement of cement with wood ashes, percentages of wood ash in concrete. From this review it is concluded that the use of wood ash provides better physical-mechanical behavior when used in materials such as concrete; however, its adequate percentages range from 5 to 15%, given that in these proportions it has allowed obtaining an increase in relation to the standard concrete of 76% of its compressive strength. [ABSTRACT FROM AUTHOR]

This paper proposes an alternative methodology to optimally design an electrical distribution system in a real urban area. A medium voltage (MV) network polygon is extracted from the web page of a distribution company (GIS platform), which serves as a comparison pattern. A redesign of the medium voltage network is made to the extracted polygon. Taking as a premise that it is a new urbanization that needs to be provided with electric power, with all the technical requirements imposed by the regulating entity, good power quality and at minimum cost. To achieve this goal, two mathematical optimization models are used. The methodology begins by delimiting the project area in a geo-referenced manner; in this area 36 possible sites are located where the distribution transformers that will provide electricity to the new urbanization can be placed. The first optimization model determines how many transformers will be installed, by means of a minimization objective function, the constraints of the model are: transformer capacity (KVA) and coverage (number of subscribers connected to the low voltage network of each transformer). Once the number of transformers to be installed and their respective geo-referenced optimal locations are determined, the model is run. The second heuristic optimization model, based on graph theory, calculates the mine spanning tree for the connection of the medium voltage electrical network, thus interconnecting the transformers of the project with the minimum distance, thus optimizing the construction cost. These optimization models are implemented and solved with Matlab and LpSolve software. The topology found with the two proposed models is electrically evaluated by running power flows with CYMEDIST software. Finally, the proposed model is evaluated by comparing the electrical parameters obtained with the electrical parameters of the polygon extracted from the GIS system of the distribution company. [ABSTRACT FROM AUTHOR]

The construction industry and artificial intelligence are very important topics that, if we merge them, would generate a very important impact in terms of construction, due to the fact that many tasks and work time would be optimized, however, the human capacity for the management of technology must be taken into account. In this paper the objective is to investigate and obtain a systematic understanding of the importance, challenges and solutions in the different phases of construction offered by artificial intelligence, for this purpose a review of 86 duly indexed articles from the last 7 years between 2015 and 2021 was carried out, which are divided as follows: 39 from ScienceDirect, 24 from Scopus and 23 from EBSCO, documents in which they point out the importance of working artificial intelligence and the construction industry, giving good results in terms of progress, safety, quality and performance in the works, so it can be concluded that the technology optimizes time, costs and efforts in construction so implementing it is a potentially viable alternative. [ABSTRACT FROM AUTHOR]

Due to the uncertainty in production processes, organizations must establish when a variation in cost with respect to a reference estimate is considered acceptable and when corrective, preventive or improvement actions must be taken. Considering tolerable values generates the idea that the cost is not a deterministic parameter, but that it can oscillate in a defined range, so that the estimates that belong to said range are considered normal and those that are outside generate intervention measures by part of decision makers. This paper presents a methodology that allows establishing the tolerance interval. The methodology uses an activity-based costing matrix model that incorporates Monte Carlo simulation to represent the inherent variability in each of the processes. The methodology was applied in a case study in the transportation sector, obtaining as a result the range of control values, which serves as the basis for making tactical and operational decisions within the organization. [ABSTRACT FROM AUTHOR]

This paper presents a comparison of some simulation tools for photovoltaic systems. The analysis was made considering four criteria: historical citations, accessibility, user friendliness and simulation. Each criterion includes aspects which have a score assignation. Finally, a weighing was made to define the computational tool with more advantages. The simulation software with more advantages for photovoltaic system simulation are PVSyst and PV*SOL. Both its interface and the information given in the simulation, made them very complete tools for the analysis of the energy production in this kind of systems. Simulation software are needed for the analysis of the operation of photovoltaic systems. Among the most used are: PVSyst, PV*SOL, SAM and RETScreen. The evaluation of these tools allowed to identify that PV*SOL is the software with more advantages and strengths. [ABSTRACT FROM AUTHOR]

In the manufacturing industry, it is important to reduce machining deviations as soon as possible to avoid the cost associated with reworks. The definition of mathematical models that predict future failures in the diagnosis of combustion engines associated with errors in machining is a way that helps to save time and money in a process. This paper proposes the analysis and establishment of correlations between the deviations of the machining in cylinder heads and the rejections of an engine cold testing in an automotive manufacturing company. To determine the relationships, a sample of heads and engines was measured in two months, and statistical models were established using inferential statistics. It was possible to establish 77 statistical models that allow predicting which machining of the cylinder heads are contributing to the rejects and therefore adjust the corresponding tools. Due to a large amount of data from the results of the 77 models, this article shows only one model which is one of the most representatives. Using this statistical model, it was possible to know which characteristic of the tool should be adjusted in addition it was also possible to know that the test limits for oil pressure have to be adjusted in the engine cold testing. [ABSTRACT FROM AUTHOR]

In this paper we review several works that compare blockchain platforms. For each one, we present the comparison criteria and its emphasis. Additionally, we compared two of the most popular blockchain platforms: Bitcoin and Hyperledger Fabric. With regard to the analyzed works, none of them emphasize on the similarities and differences regarding the flow of a transaction, a complex process in Hyperledger Fabric due to the number of concepts and components involved. To facilitate the comparison, we show the flow of a transaction in both platforms. The analyzed works also do not compare the functions of the components of each platform, for example, of the nodes and their different types, nor do they detail the structure of the blocks. Finally, an effort was made to establish a common vocabulary between the two platforms. [ABSTRACT FROM AUTHOR]

This paper aims to describe the design, development, and testing of a question-answering chatbot to inform COVID-19 at Cali town. The chatbot is based on the model of natural language processing, and it is capable of holding a question-and-answer conversation about the pandemic. This document presents the sources of information to solve information needs in the Cali town's risk scenery from March to December 2020; Based on the sources of information, a corpus with 636 sentences was built. Three models were trained bases on the corpus. The models were trained incremental prototyping: A baseline model that responds to general questions, cases, active cases, and deaths at a geographic point of an area or region of interest (BC), the baseline model, zones and news, decrees or regulations generated by the Government during the risk situation (BCN) and the final model that responds the previous items and to frequently asked questions (BFAQ). A satisfaction survey of the prototype was developed to evaluate the chatbot, and the models were evaluated by metrics of PLN precision, coverage, and F-measure. The analysis and results showed that the final model (BFAQS) showed values upper 88% in the three measurements., besides, the BFACS held 1480 conversations, with an average conversation engagement of 4.12 minutes. Furthermore, the survey results show that 87% would use the chatbot again to obtain information about COVID-19. [ABSTRACT FROM AUTHOR]

In this research paper the influence of deposition parameters (flow, distance, surface roughness, and temperature) on the Ni - Al -Mo adhesion of coating was evaluated, using as an anchor- base layer on AISI 1020 steel. The results show that the flame temperature and the spraying distance have a great influence on the morphology and adhesion of the coating. Results of adhesion tests show that this increase when the dust is applied at a distance of 15 cm between the pistol and the substrate using a fuel atmosphere where the temperature of the fusion powder is greater. Likewise, the deposition parameters have a direct effect on the porosity and surface roughness of the coating which the importance of it is that this alloy will serve as anchoring surface coating on the coating deposited Ni-Al-Mo. The chemical, mechanical and microstructural characterization of the coating was made by SEM, XRF, Microhardness and pull off tests. [ABSTRACT FROM AUTHOR]

Marketing globalization represents an expansion of the business vision of the whole industry, increased business environment is a challenge within competitiveness but also an opportunity to enter new markets. Current markets define the industry requirements, these requirements reflect a high sense of customization, since in the last decade, the rapid change of products is becoming a lifestyle. Customers expect better quality, greater variety and better product performance. Thus, as manufacturing systems are in search of a new approach that efficiently adapts to these needs. Specifically, the function of production scheduling in the manufacturing system represents a challenge closely linked to industry trends, the allocation of resources should be developed in a flexible way, such that suits the dynamics production needs. Considering the above, in this paper a method for production scheduling from the paradigm of holonic manufacturing system is proposed, emphasizing the definition of tasks, interfaces and information flows as well as the application of models for structuring the method. [ABSTRACT FROM AUTHOR]

This paper presents a new multiobjetive mathematical model for optimization of facility layout problem with unequal areas called UA-FLP with fixed dimensions. One of the objectives is the minimization of the material handling cost and the other one is the minimization of the closeness relationships according to factors that are independents of the flows and costs. The validation of the mathematical model was made with problems found in the literature. The result was that the proposed model represents the unequal area facility layout problem with fixed dimensions optimizing the material handling cost and the closeness relationships for small problems and finding good solutions for bigger problems in 10,000 seconds of computer time. [ABSTRACT FROM AUTHOR]

This paper presents a hybrid methodology for fault location in power distribution systems, by using a regression technique based on k nearest neighbors and a classification technique which uses multiple simple classifiers in a Boosting strategy. The proposed methodology first subdivides the power system into zones to train the classification technique. Then the parameters of the regression technique are adjusted and the classification technique is trained. Finally, for an unknown case, the regression technique estimates the fault distance, and the classification technique locates the fault in one of the predefined zones, solving the multiple estimation problem. The IEEE34 node test feeder is used to test the proposed fault locator, where a good performance is obtained either in the classification task (minimal precision of 95.7 %) and the regression task (highest absolute error of 8.05%). The proposed method can be easily implemented in a power system, is fast and has low computational effort. [ABSTRACT FROM AUTHOR]

This paper presents the architecture of a Virtual Assistant that supports the delivery of texts in languages teaching--learning processes. Two specific functions for the assistant are defined: writing and grammatical assistance. On one hand, writing assistance provides students recommendations about the type of paragraph that they want to write. And, on the other hand, grammatical assistance provides students a feedback about their mistakes in the texts that they produce. The assistant has features related with three technological elements: i) software agents, ii) virtual learning environments and iii) computational linguistics. These features allow to provide the functionalities for language processing and they provide students' recommendations about their writing processes. The main purpose of this assistant is to help the students to improve their writing skills, when they interact into a virtual learning environment. The proposed architecture was implemented in a platform called Lingweb, which is a prototype of a Course Management System for the languages teaching-learning processes. [ABSTRACT FROM AUTHOR]

This paper is oriented to present a review of the main approaches commonly used to obtain voltage stability indices in electric power systems. Starting from classifications previously presented, the authors propose a complete review including several subcategories, which help to have a better understanding of these approaches. As strategy to adequately present this research, a chronologically ordered description and a classification of the most relevant characteristics of these proposals, which are aimed to obtain the voltage stability indexes in a time period from 1986 to 2012, is detailed analyzed. The considered classification criterion is related to the information requirements of each one of the reviewed approaches. Additionally, an analysis and a discussion of the evolution of the indexes proposals considering the new available metering equipment are developed. Finally, this review is useful as a reference for discussions related to methodologies associated to voltage stability indexes for electric power systems [ABSTRACT FROM AUTHOR]

In this paper, we propose a classification of reflection in levels, with an approach aimed to reach autonomous programming. Reflection is the ability of a program to reason, know and examine itself to act and modify its state at compilation or runtime. In this article, it is proposed four reflection levels according to the level of knowledge, modification ability, types of modifications, time to perform modifications and the reasoning level. Then, it is analyzed different programming languages and they are classified on those levels, based on the reflection capacity that they support. Each classification level is exemplified and finally we present a series of experiments where we compare them with equivalent versions of non-reflective programs. Out experiments showed that although reflective programs were more expensive, in terms of execution time and coding, they offer great flexibility and great potential for the design and development of programs. Therefore, it is the reflexivity the first step to achieve the development of autonomous systems which can simulate or pair biological systems. [ABSTRACT FROM AUTHOR]

Fusel oil is a by-product of distilleries during the preparation of ethanol by fermentation of sugar. In this paper is shown the results of the catalytic transformation in alkenes of the alcohols present in fusel oil, using two zeolites belonging to the family of Pentasil as MFI and HZSM -5 with Si/Al 28 and 1000, looking for obtaining alkenes such as butene or isopentene widely employed in industry as a bio-lubricant. We found that the most active system towards obtaining alkenes was the HZSM-5 zeolite ratio SiO2/Al2O3 = 28. The analysis of the reaction products was carried out by gas chromatography with FID detector was found that at 200 °C 90% transformation is obtained and only to raise the temperature to 260 °C complete conversion is achieved. Furthermore, all of the catalysts showed a rapid deactivation and the activity dropped sharply after 24 hours. [ABSTRACT FROM AUTHOR]

In this paper is presented the design and implementation of a ping-pong game on a 7x5 LED matrix based on a microcontroller system. Its implementation involves all processes in typical software development logic, which makes this application to be considered as a pedagogical tool for teaching basic programming content. The design from the perspective of engineering is presented, furthermore is detailed the diagram of the different stages of the system and the structure of the algorithm implemented in the microcontroller. The application allows increase the complexity of programming in so far that increase the conditions and restrictions of operation, generating greater capacity for analysis and alternative solutions. [ABSTRACT FROM AUTHOR]

In organisations providing health services, there exist different data sources (e.g. clinical history, demographics data, DICOM iles) of diverse nature, which are scattered storage and come from heterogeneous sources. Additionally, the DICOM format stores patient information and medical images. These iles are managed in PACS, however PACs does not provide diagnostic support tools. In this paper, a data integration architecture oriented to enrich medical images using metadata extracted from a controlled vocabulary is presented. The architecture was instantiated in a prototype that provides image annotation mechanisms - manual and automatic -- and strategies for searching and retrieving data and images using keywords or descriptors MPEG-7, which are different from traditional ones. The annotation is based on a controlled vocabulary that is part of a taxonomy of concepts and medical terms. [ABSTRACT FROM AUTHOR]

Steel fibers reinforced concrete (SFRC) is a material with great potential to be used in low-rise concrete housing because the strength capacity of the walls is controlled by diagonal tension strength. The paper shows the results of an experimental study intended to characterize splitting-tensile strength of SFRC made of both ZP-306 fiber and local concrete. The experimental program included the tests of 52 cylindrical-shaped specimens. The study discusses the available predictive models and shows a statistical analysis to compare the predicted results with measured data. Based on trends of the experimental results, equations to estimate the parameters describing the backbone of the stress-strain behavior of SFRC under splitting-tensile strength are proposed. The equations have been developed in a versatile format to be included in a design code. [ABSTRACT FROM AUTHOR]