Virtualizing a Cluster to Optimize the Problems of High Scientific Complexity within an Organization

Huamaní, Enrique Lee; Condori, Patricia; Román-Gonzalez, Avid

doi:10.14569/ijacsa.2019.0100679

Cited by 4 publications

(3 citation statements)

References 2 publications

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“…In Fig. 3 shows the model created with the most prominent code Face = faceclassif.detectMultiscale (gray 1, 3, 5) from that precise moment begins to identify the face of the person stored in a parameter if k == 27 or count = 300; break where it will return 300 images identifying the face if more images are required it will only change the number of specific digit [20].…”

Section: B Create Modelmentioning

confidence: 99%

Use of Artificial Intelligence for Face Detection with Face Mask in Real Time to Control the Entrance to an Entity

Huamaní¹,

Cunyarachi²

2021

IJETAE

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Due to the pandemic caused by Covid-19, daily life has changed significantly. For this reason, biosecurity measures have been implemented to prevent the spread of the virus as an effective way to reactivate economic activities. In this sense, the present paper focuses on real-time face detection as a measure of control at the entrance to an entity, thus avoiding the spread of the virus while recognizing the identity of workers despite the use of masks and thus reducing the risk of entry of individuals outside the organization. Therefore, the objective is to contribute to the security of a company through the application of machine learning methodology. The selection of methodology is justified due to the adaptation of the same according to the interests of this project. Consequently, algorithms were used in a progressive manner, obtaining as a result the control system that was intended, since each particularity of the face of the individual was recognized in relation to its corresponding identification. Finally, the results of this article benefit the security of organizations regardless of their field or sector. Keywords— Control, Detection, Facial Recognition, Facial Mask, Face recognition, Machine learning.

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Section: B Create Modelmentioning

confidence: 99%

Use of Artificial Intelligence for Face Detection with Face Mask in Real Time to Control the Entrance to an Entity

Huamaní¹,

Cunyarachi²

2021

IJETAE

Self Cite

View full text Add to dashboard Cite

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“…1) Parallel algorithm for calculating prime numbers: For the performance tests, an algorithm used in previous work with virtual machines was selected [10] that applies parallelism techniques thanks to Open Mpi that performs intensive iterations to each of the numbers to validate if it is a prime number. In this work, an intensive calculation is carried out by testing 2, 4, and 8 million iterations, Fig.…”

Section: Performance Testingmentioning

confidence: 99%

Implementation of a Beowulf Cluster and Analysis of its Performance in Applications with Parallel Programming

Huamaní¹,

Condori²,

Román-Gonzalez³

2019

IJACSA

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In the Image Processing Research Laboratory (INTI-Lab) of the Universidad de Ciencias y Humanidades, the permission to use the embedded systems laboratory was obtained. INTI-Lab researchers will use this laboratory to do different research related to the processing of large scale videos, climate predictions, climate change research, physical simulations, among others. This type of projects, demand a high complexity in their processes, carried out in ordinary computers that result in an unfavorable time for the researcher. For this reason, one opted for the implementation of a high-performance cluster architecture that is a set of computers interconnected to a local network. This set of computers tries to give a unique behavior to solve complex problems using parallel computing techniques. The intention is to reduce the time directly proportional to the number of machines, giving a similarity of having a low-cost supercomputer. Different performance tests were performed scaling from 1 to 28 computers to measure time reduction. The results will show if it is feasible to use the architecture in future projects that demand processes of high scientific complexity.

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“…4) SSH protocol: Secure Shell (SSH) is a remote administration protocol that allows the reader to initiate commands and copy files from master node to slave nodes [11]. The SSH makes communication between computers secure due to a key generated from the master computer and copied to each of the slave nodes, this allows external devices can not access the Beowulf cluster because they do not have password identification.…”

Section: Dependenciesmentioning

confidence: 99%

Render Farm for Highly Realistic Images in a Beowulf Cluster using Distributed Programming Techniques

Huamaní¹,

Condori²,

Meneses-Claudio³

et al. 2019

IJACSA

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Now-a-days, photorealistic images are demanded for the realization of scientific models, so we use rendering tools that convert three-dimensional models into highly realistic images. The problem of generating photorealistic images occurs when the three-dimensional model becomes larger and more complex, so the time to generate an image is much greater due to the limitations of hardware resources, about this problem is implemented the render farm, which consists in a set of computers interconnected by a high-speed network that provides a strip of the global image distributed in each participating computers with the intention of reducing the processing time of highly complex computational images. The research was implemented in a high-performance Beowulf group of the Universidad de Ciencias y Humanidades using a total of 18 computers. To demonstrate the efficiency of a rendering farm implementation, scalability tests were performed using a 360° equirrectangular model with a total of 67 million pixels, the work is carried out to achieve highly complex renderings in less time to benefit the direction of the research.

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Virtualizing a Cluster to Optimize the Problems of High Scientific Complexity within an Organization

Cited by 4 publications

References 2 publications

Use of Artificial Intelligence for Face Detection with Face Mask in Real Time to Control the Entrance to an Entity

Use of Artificial Intelligence for Face Detection with Face Mask in Real Time to Control the Entrance to an Entity

Implementation of a Beowulf Cluster and Analysis of its Performance in Applications with Parallel Programming

Render Farm for Highly Realistic Images in a Beowulf Cluster using Distributed Programming Techniques

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