Revistas UTB ( Universidad Tecnológica de Bolívar)
Not a member yet
353 research outputs found
Sort by
Engineering the Future: TESEA's Commitment to Quality and Innovation
Deputy Editor Oscar Acevedo discusses the journal's most recent achievements and commitment to quality and innovation. The editorial highlights TESEA's inclusion in SCOPUS in 2023, its Q4 ranking in the Scimago Journal Rank (SJR), and its acceptance for indexing in the Directory for Open Access Journals (DOAJ)
La educación financiera en el departamento del Atlántico, Colombia
This article analyzes the demographic and socioeconomic factors that influence the levels of financial education of the population in the department of Atlántico, Colombia. The results obtained from a logit model indicate that variables such as gender, social status and educational level are decisive when establishing how financially educatedis an individual. In line with the literature that addresses the analysis in othercountries, we conclude that the gender and/or the difficulties of access to educationaffect the levels of financial education of the population and, consequently, people’sfinancial performance.Este trabajo analiza los factores demográficos y socioeconómicos que influyen en los niveles de educación financiera de la población del departamento del Atlántico, Colombia. Los resultados obtenidos a partir de un modelo logit indican que variables como el género, la condición social y el nivel educativo son determinantes a la hora de establecer qué tan educado financieramente es un individuo. En línea con la literatura que aborda el análisis en otros países, se concluye que el género y/o las dificultades de acceso a la educación afectan los niveles de educación financiera de la población y, en consecuencia, al desempeño financiero de las personas
HyTra: Hyperclass Transformer for WiFi Fingerprinting-based Indoor Localization
The emerging demand for a variety of novel Location-based Services (LBS) by consumers and industrial users is driven by the rapid and extensive proliferation of mobile smart devices. Sensors embedded in smart devices or machines provide wireless connectivity and Global Positioning System (GPS) capability, and are co-utilized to acquire location-linked data which are algorithmically transformed into reliable and accurate location estimates. GPS is a mature and reliable technology for outdoor localization but indoor localization in a complex multi-storey building environment remains challenging due to fluctuations in wireless signal strength arising from multipath fading. Location-linked data from wireless access points (WAPs) such as received signal strength (RSS) are acquired as numerical sequences. By conceptualizing a fixed order sequence of WAP measurements as a sentence where the RSS from each WAP are words, we may leverage on recent advances in artificial intelligence for natural language processing (NLP) to enhance localization accuracy and improve robustness against signal fluctuations. We propose the hyper-class Transformer (HyTra), an encoder-only Transformer neural network which learns the relative positions of wireless access points (WAPs) through multiple learnable embeddings. We propose a second network, HyTra-HF, which improves upon HyTra by applying a hierarchical relationship between location classes. We test our proposed networks on public and private datasets varying in sizes. HyTra-HF outperforms existing deep learning solutions by obtaining 96.7\% accuracy for the floor classification task on the UJIIndoorloc dataset. HyTra-HF is amenable to deep model compression and achieves accuracy of 95.95\% with over ten-fold reduction in model size using Sparsity Aware Orthogonal (SAO) initialization and has the best-in-class accuracy for the sparse model
An Enhanced Energy Efficiency Routing for WSN based on Elephant Herding and Swarm Optimization Approaches
Energy utilization and inadequacy of sensor nodes are considered major drawbacks in wireless sensor networks (WSNs). This is because the sensor nodes use the battery for recharging energy. To overcome this issue WSN utilized a clustering-routing algorithm. This protocol divides the adjacent sensor nodes into separate clusters to choose a cluster head. Thus, the cluster head gathers information from all clusters and transmits it to the base station. In this article, the proposed method used cluster-based routing protocols to enhance energy efficiency and network lifetime. Moreover, this paper follows three stages to maximize energy efficiency. Initially, the clustering process is performed using dolphin swarm optimization (DSO), where a group of clusters is formed. Then the second stage is composed of cluster head selection among the group of clusters by elephant herding optimization (EHO) strategy. Finally, the collected data are necessary to forward to the base station for transferring the information. A specified path (routing) is selected by chicken swarm optimization (CSO). By using these algorithms, the network nodes support the balance of energy utilization. Experimental analysis proves when evaluated with existing methods the proposed technique has improved energy efficiency with an increase in network lifetime
Evaluating generative AI tools: A comparative guide for new users
One of the most prominent forms of artificial intelligence that has been made public is generative AI, which offers a fresh perspective and direction for numerous global sectors. The impact of this artificial intelligence model on nearly every business and how certain vocations can be pursued has garnered a large audience. This paper evaluates generative AI from an objective standpoint and proposes a comparison of some of its key tools to help new users solve problems in their daily lives, at work or at home. This highlights the significance of understanding and utilizing this kind of AI
Evaluation of wind energy-based electricity potential at 40m height in 3 districts of Bihar
In this study, three northern districts of Bihar, namely, Bettiah, Madhubani, and Muzaffarpur, were carefully chosen to understand the wind energy resource availability for energy conversion. The wind speed data set was gathered from local meteorological station for a period of 12 years from April 2008 to March 2020. For evaluating wind resources, the widely used two-parameter Weibull distribution was combined with other statistical techniques. The obtained results exhibited that the wind speed in the three districts of Bihar fluctuated from 3.2 m/s to 4.7 m/s while the scale and shape parameters (also known as the Weibull parameters) are discovered to be in the ranges of 10.247 to 11.432 and 3.5718 to 4.0477, respectively. Further, wind power density was 22.729, 26.288, and 28.021 W/m at 40 m above the ground for the three districts considered in the study. These findings suggested that the places of the study are not suitable for widespread wind power extraction at a hub height of 40 m but suitable for small-scale wind turbine setup
El contrabando interno de tabaco durante la Independencia y los inicios de la República en la Nueva Granada, 1810 – 1828
Within the framework of economic history and judicial history, and based on the consultation of archival documentary sources, the main purpose of this article is to analyze the scope of internal tobacco smuggling during the wars of Independence and the first decade of Republican life in New Granada. For this, the regulatory framework and the actions implemented by the State to combat this practice will be examined in detail. Given the limited resources and the limited logistical capacity of the surveillance structure set up through the guards in the extensive territory of New Granada, the smugglers perfected their methods, and various strategies were used in the effort to evade the actions of control devices and free themselves from all responsibility, even going so far as to opt for bribery and violent reactions. The frequency of this illegal trade reflected an underlying social problem, since several individuals saw the clandestine cultivation and sale of this product as an economic alternative for subsistence during a transition stage in which the ravages of war were evident. There were several inconsistencies in the judicial rulings due to the procedural problems and the gaps in the norm, although the intention was to set penalties that would generate punishment and ensure that the fraudsters corrected their faults.Dentro del marco de la historia económica y la historia judicial, y con base en la consulta de fuentes documentales de archivo, el propósito fundamental de este artículo es analizar los alcances del contrabando interno de tabaco durante las guerras de Independencia y la primera década de vida republicana en la Nueva Granada. Para ello, se examinará en detalle el marco normativo y las acciones implementadas por el Estado para combatir esta práctica. Ante la limitación de recursos y ante la escasa capacidad logística de la estructura de vigilancia dispuesta a través de los guardas de la renta en el extenso territorio neogranadino, los contrabandistas perfeccionaron sus métodos y fueron varias las estrategias empleadas en el afán por evadir el accionar de los dispositivos de control y librarse de toda responsabilidad llegando incluso a optar por el soborno y las reacciones violentas. La frecuencia de este tráfico ilegal reflejaba un problema social de fondo, pues varios individuos vieron en el cultivo y venta clandestina de ese producto una alternativa económica de subsistencia en medio de una etapa de transición en la cual fueron evidentes los estragos de la guerra. Varias fueron las inconsistencias en los fallos judiciales ante los problemas procedimentales y los vacíos en la norma, aunque la intención fue fijar penas que generaran escarmiento y procurar que los defraudadores enmendaran sus faltas
TS fuzzy control of PV assisted single phase three phase induction motor drive for rural pumping applications
The motor drives for aqua farms and large-scale irrigation system needs a reliable electric drive, which requires the continuous power supply and efficient control. However, the rural single phase power supply is frequently interrupted. Renewable assistance would improve the availability of supply and heuristic control approach improves robustness in control. This paper presents a three phase induction motor drive fed from single phase electric grid with assistance from PV and battery energy storage. TS- fuzzy based direct torque control is employed for robust control during load changes, and the topology, component modelling, front-end converter control, PV interface DC–DC converter control, and inverter control are presented. MATLAB/Simulink is used to simulate the proposed drive system. The performance of the proposed system is validated using simulation data for both steady-state and transient states
A switched-inductor switched-capacitor based ultra-gain boost converter: analysis and design
A feature known as high-voltage gain conversion is necessary for a number of applications, including photovoltaic (PV) connected systems, UPS, SMPS, and some inverter applications, specifically for the power processing of low-voltage renewable sources. This article makes a suggestion for an ultra-gain boost converter based on a switched-inductor switched-capacitor (SISC) network. Ultra-voltage gain (> 15) and lower voltage stresses across the switches are the main benefits of the proposed converter. Additionally, compared with other high-gain topologies, the number of components decreases. This paper presents a systematic analysis of the proposed ultra-gain boost DC–DC converter along with a comparison to other topologies that have been previously published in the literature. The simulation model confirmed that the efficiency of the proposed topology is 95.23%
A Comprehensive Method for Designing Containerized Microgids in Non-Interconnected Zones
Many isolated rural communities lack basic electricity services and associated modern amenities. One proposed solution is the deployment of containerized microgrids, which are clusters of generation and storage assets packaged in a container for easy deployment. However, few works have described approaches for designing such solutions. This paper presents a five-step method for designing a containerized photovoltaic-based microgrid for isolated areas. The method includes defining system design requirements and constraints (technical, environmental, and legal), conducting preliminary studies on solar radiation and load profiles, selecting equipment, designing the control system, and performing a basic economic analysis. This method is verified in three scenarios of Colombian Non-Interconnected Zones (NIZs), resulting in a solution that can effectively provide electricity to the isolated communities, primarily from solar energy, store surplus generation in batteries, and minimize diesel backup generator use. The results show that the solutions can be scaled to feed larger loads and can be applied in other contexts, such as emergency supply after natural disasters