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Design of a network with VANET sporadic cloud computing applied to traffic accident prevention

amelec, viloria; Pineda, Omar; Varela Izquierdo, Noel; Diaz Martínez, Jorge Luis (Corporación Universidad de la CostaRetracted, 2020-07-19)

The study analyzes the bandwidth available in a segment of route in the VANET network, since this value directly affects sporadic cloud computing. For this purpose, the bandwidth was tested on a highly complex urban scenario, ...
Management system for optimizing public transport networks: GPS record

Silva, Jesús; GUERRA ALEMAN, ERICK; Varela Izquierdo, Noel; Pineda, Omar (Corporación Universidad de la CostaRetracted, 2020-07-19)

As cities continue to grow in size and population, the design of public transport networks becomes complicated, given the wide diversity in the origins and destinations of users [1], as well as the saturation of vehicle ...
Optimization of driving efficiency for pre-determined routes: proactive vehicle traffic control

amelec, viloria; Pineda, Omar; Varela Izquierdo, Noel; Diaz Martínez, Jorge Luis (Corporación Universidad de la CostaRetracted, 2020-07-19)

With the excessive growth of modern cities, great problems are generated in citizen administration. One of these problems is the control of vehicle flow during peak hours. This paper proposes a solution to the problem of ...
Parallel algorithm for reduction of data processing time in big data

Silva, Jesús; H, H; Niebles Núñez, William; Ovallos-Gazabon, David; Varela, Noel (Journal of Physics: Conference SeriesRetracted, 2020)

Technological advances have allowed to collect and store large volumes of data over the years. Besides, it is significant that today's applications have high performance and can analyze these large datasets effectively. ...
Software project planning through comparison of Bio-inspired algorithms

Silva, Jesús; Varela Izquierdo, Noel; NEIRA MOLINA, HAROLD ROBERTO; Pineda, Omar (Corporación Universidad de la CostaRetracted, 2020-07-19)

Currently many organizations have adopted the development of software projects with agile methodologies, particularly Scrum, which has more than 20 years of development. In these methodologies, software is developed ...
Solving the problem of optimizing wind farm design using genetic algorithms

amelec, viloria; Nuñez Lobo, Hugo; Pineda, Omar (Corporación Universidad de la CostaRetracted, 2020-09-15)

Renewable energies have become a topic of great interest in recent years because the natural sources used for the generation of these energies are inexhaustible and non-polluting. In fact, environmental sustainability ...
Study of the principal component analysis in air quality databases

Silva, Jesús; Londoño, Luz Adriana; Varela Izquierdo, Noel; Pineda, Omar (Corporación Universidad de la CostaRetracted, 2020-09-15)

Technological development has facilitated daily habits, business, the manufacture of large quantities of products, among other types of industrial activities; however, these advances have caused environmental deterioration ...
Thermographic imaging for use in artificial intelligence and vision algorithms

Silva, Jesús; Echeverría, Ana María; Varela Izquierdo, Noel; Pineda, Omar (Corporación Universidad de la CostaRetracted, 2020-09-15)

The constant technological innovation in devices for the acquisition of digital images such as: energy-efficient and high-pixel sensors, memories with greater storage capacity and processors capable of sampling digital ...

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Design of a network with VANET sporadic cloud computing applied to traffic accident prevention
...
amelec, viloria | 2020-07-19

The study analyzes the bandwidth available in a segment of route in the VANET network, since this value directly affects sporadic cloud computing. For this purpose, the bandwidth was tested on a highly complex urban scenario, where a number of mobile nodes were used with random conditions both in mobility and in resources of transmission. The results of the tests show that the stability of the bandwidth available in each region is proportional to the number of real mobile nodes in the region. However, a considerable bandwidth is also reached with a smaller number of mobile nodes, but there is no stability in the region, thus causing the network to collapse. The VANET network simulation tool was NS-3, since it is currently one of the most commonly used free software that allows configure the simulation parameters in a vehicular environment. The urban simulation scenario is the historic center of the City of Bogotá, Colombia, which was created with SUMO for obtaining the mobility traces

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Management system for optimizing public transport networks: GPS record
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Silva, Jesús | 2020-07-19

As cities continue to grow in size and population, the design of public transport networks becomes complicated, given the wide diversity in the origins and destinations of users [1], as well as the saturation of vehicle infrastructure in large cities despite their attempts to adapt it according to population distribution. This indicates that, in order to reduce users’ travel time, it is necessary to implement alternative road solutions to the use of cars, increasing investment in public transportation [2, 3] by conducting a comprehensive analysis of the state of transportation. This situation has made appear the solutions and development oriented to transportation based on Internet of Things (IoT) which allows, in a first stage, monitoring of public transport systems, in order to optimize the deployment of transport units and thus reduce the time of transfer of users through the cities [4]. These solution proposals are focused on information collected from user resources (data collected through smart phones) to create a common database [5]. The present study proposes the development of an intelligent monitoring and management system for public transportation networks using a hybrid communication architecture based on wireless node networks using IPv6 and cellular networks (LTE, LTE-M).

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Optimization of driving efficiency for pre-determined routes: proactive vehicle traffic control
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amelec, viloria | 2020-07-19

With the excessive growth of modern cities, great problems are generated in citizen administration. One of these problems is the control of vehicle flow during peak hours. This paper proposes a solution to the problem of vehicle control through a proactive approach based on Machine Learning. Through this solution, a traffic control system learns about traffic flow in order to prevent future problems of long queues at traffic lights. The architecture of the traffic system is based on the principles of Autonomous Computing with the aim of changing the traffic light timers automatically. A simulation of the roads in an intelligent city and a Weka-based tool were created to validate this approach.

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Parallel algorithm for reduction of data processing time in big data
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Silva, Jesús | 2020

Technological advances have allowed to collect and store large volumes of data over the years. Besides, it is significant that today's applications have high performance and can analyze these large datasets effectively. Today, it remains a challenge for data mining to make its algorithms and applications equally efficient in the need of increasing data size and dimensionality [1]. To achieve this goal, many applications rely on parallelism, because it is an area that allows the reduction of cost depending on the execution time of the algorithms because it takes advantage of the characteristics of current computer architectures to run several processes concurrently [2]. This paper proposes a parallel version of the FuzzyPred algorithm based on the amount of data that can be processed within each of the processing threads, synchronously and independently.

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Software project planning through comparison of Bio-inspired algorithms
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Silva, Jesús | 2020-07-19

Currently many organizations have adopted the development of software projects with agile methodologies, particularly Scrum, which has more than 20 years of development. In these methodologies, software is developed iteratively and delivered to the client in increments called releases. In the releases, the goal is to develop system functionality that quickly adds value to the client’s business. At the beginning of the project, one or more releases are planned. For solving the problem of replanning in the context of releases, a model is proposed considering the characteristics of agile development using Scrum. The results obtained show that the algorithm takes a little less than 7 min for solutions that propose replanning composed by 16 sprints, which is equivalent to 240 days of project. They show that applying a repair operator increases the hypervolume quality

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Solving the problem of optimizing wind farm design using genetic algorithms
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amelec, viloria | 2020-09-15

Renewable energies have become a topic of great interest in recent years because the natural sources used for the generation of these energies are inexhaustible and non-polluting. In fact, environmental sustainability requires a considerable reduction in the use of fossil fuels, which are highly polluting and unsustainable [1]. In addition, serious environmental pollution is threatening human health, and many public concerns have been raised [2]. As a result, many countries have proposed ambitious plans for the production of green energy, including wind power, and consequently, the market for wind energy is expanding rapidly worldwide [3]. In this research, an evolutionary metaheuristic is implemented, specifically genetic algorithms.

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Study of the principal component analysis in air quality databases
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Silva, Jesús | 2020-09-15

Technological development has facilitated daily habits, business, the manufacture of large quantities of products, among other types of industrial activities; however, these advances have caused environmental deterioration that seriously threatens the development of society. The increase of greenhouse gases in the atmosphere affects the health of millions of people and is the main factor that has modified the climate on planet Earth. Faced with this situation, it is necessary to carry out actions that allow to quickly adapt to this change and mitigate its effects. The present study proposes the analysis of main components in the data of the pollutant measurements in the city of Bogota, Colombia with the purpose of obtaining a more compact representation of these data, to later apply grouping techniques and obtain factors that allow the emission of an alert for pre-contingency and contingency.

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Thermographic imaging for use in artificial intelligence and vision algorithms
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Silva, Jesús | 2020-09-15

The constant technological innovation in devices for the acquisition of digital images such as: energy-efficient and high-pixel sensors, memories with greater storage capacity and processors capable of sampling digital signals more quickly, have made it possible to digitize with greater reliability real life scenes in an instant of time, making it possible to analyze and interpret different physical phenomena [1][2][3] such as fractures in materials, evasion of obstacles, weather conditions, injury detection, among others, giving rise to a new line of research called Artificial Vision (AV) focused on generating algorithms to improve image quality, segment characteristics of interest and eventually recognize patterns, in order to make more efficient image processing for the solution of problems in robotics, automation, security, medicine, veterinary, and others. The research aims to develop a database of thermographic images of pregnant and non-pregnant sheep, providing a tool for specialists in the area of computer intelligence and artificial vision.

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Programa

Design of a network with VANET sporadic cloud computing applied to traffic accident prevention ﻿

Management system for optimizing public transport networks: GPS record ﻿

Optimization of driving efficiency for pre-determined routes: proactive vehicle traffic control ﻿

Parallel algorithm for reduction of data processing time in big data ﻿

Software project planning through comparison of Bio-inspired algorithms ﻿

Solving the problem of optimizing wind farm design using genetic algorithms ﻿

Study of the principal component analysis in air quality databases ﻿

Thermographic imaging for use in artificial intelligence and vision algorithms ﻿

Envíos recientes

Design of a network with VANET sporadic cloud computing applied to traffic accident prevention

Management system for optimizing public transport networks: GPS record

Optimization of driving efficiency for pre-determined routes: proactive vehicle traffic control

Parallel algorithm for reduction of data processing time in big data

Software project planning through comparison of Bio-inspired algorithms

Solving the problem of optimizing wind farm design using genetic algorithms

Study of the principal component analysis in air quality databases

Thermographic imaging for use in artificial intelligence and vision algorithms

Design of a network with VANET sporadic cloud computing applied to traffic accident prevention

Management system for optimizing public transport networks: GPS record

Optimization of driving efficiency for pre-determined routes: proactive vehicle traffic control

Parallel algorithm for reduction of data processing time in big data

Software project planning through comparison of Bio-inspired algorithms

Solving the problem of optimizing wind farm design using genetic algorithms

Study of the principal component analysis in air quality databases

Thermographic imaging for use in artificial intelligence and vision algorithms