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Tutorials

The tutorials are created with the objective of making visible the skills on some tool, innovative technology, use of software applications, methodology, in which the experts are able to transmit this knowledge to the research community in the congress of Information and Communication Technologies of Ecuador - TICEC 2021

11:00

TUTORIAL

Artificial Intelligence for image processing and classification in Python

Speaker:
Melissa Montalvo, MSc
ScreenPoint Medical Holanda

11:00

14:00 PARALLEL SESSIONS

TUTORIAL

Text analysis in Python

Speaker:
Kevin Farinango, MSc
Infinitusmind, Ecuador

14:00

TUTORIAL

Can today's cities be Smart Cities?

Speaker:
Andrés Gallego, MSc
Media Commerce, Ecuador

14:00

16:00

TUTORIAL

Data collection and analysis with a multidimensional mobile mapping system based on cost-effective opensource software and hardware tools

Speaker:
Bryan Saravia, MSc & Ernesto Santos, PhD
Universidad Indoamérica, Ecuador

10:20

TUTORIAL

Computer Forensics in 3 Capture The Flags or Less

Speaker:
Jorge Sánchez Freire Ms. C.
CrySeg, Ecuador

10:20

14:00 PARALLEL SESSIONS

TUTORIAL

Web Application Hacking

Speaker:
Jennifer Yépez, MSc
Universidad Politécnica Salesiana, Ecuador

14:00

TUTORIAL

Supporting open research with MiLAB

Speaker:
Alexander Martínez & Jesús Peña
Universidad Industrial de Santander, Colombia

14:00

16:00 PARALLEL SESSIONS

TUTORIAL

Augmented Reality for the study of Statics

Speaker:
Andrés Lara, MSc
Universidad Tecnológica Indoamérica, Ecuador

16:00

TUTORIAL

Industry 4.0 - Opportunities and challenges for productive development

Speaker:
Andrés Gallego, MSc
Media Commerce, Ecuador

16:00

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Melissa Montalvo, MSc
ScreenPoint Medical, Holanda

 

Artificial Intelligence for image processing and classification in Python

  • Introduce the concepts of image processing and basic analytical methods that can be used on images.
  • Demonstration of the use of Convolutional Neural Networks (CNN) in image classification. The algorithm will be developed in Python using relevant programming platforms and libraries in the field of artificial intelligence such as Tensorflow, Keras and OpenCV.
  • Introduction and demonstration of data augmentation methods as a method to increase classification accuracy.
  • Demonstration of the use of transfer learning in image classification for limited databases. The algorithm will be developed using Deep Learning tools.
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Jennifer Yépez, MSc
Universidad Politécnica Salesiana, Ecuador

 

Web Application Hacking

The use of tools to exploit existing vulnerabilities in websites facilitates the understanding of these vulnerabilities. Thus, the content of the proposed workshop will allow participants to implicitly understand the importance of applying good programming practices when developing web applications. Secure websites bring benefits to both the application owner and the users of the application.

In this way, the Web Application Hacking workshop will allow attendees to learn about and identify vulnerabilities that exist in web systems, applying tools to exploit these vulnerabilities.

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Andrés Lara, MSc
Universidad Tecnológica Indoamérica, Ecuador

 

Augmented Reality for the study of Statics

The aim is to share the application of augmented reality in learning the equilibrium of rigid bodies. The existing problem is that the exercises in the basic bibliographies present the 3D systems on the page of the book that in reality is only in 2D in such a way that students who have difficulty in spatial location cannot understand the graphed system. If we take these graphics to augmented reality then its aim is to motivate the student to engage in the educational trend of augmented reality and at the same time improve their learning in a visual way by being able to observe the 3D model in augmented reality.

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Alexander Martínez & Jesús Peña
Universidad Industrial de Santander, Colombia

 

Supporting open research with MiLAB

Repeatability and reproducibility of scientific results in data-driven science has been identified as a growing problem. Academic publishing is set to transform, demanding access to the data and computational applications that support the results. This workshop will take a look at the tools and especially the methodologies that support this new generation of scholarly publishing.

It seeks to reflect on the places of contact, in terms of methodologies and tools, for the research community and tools, for the research community. Open science is taken as an articulating axis and the crisis of reproducibility in science as a problem to be avoided.

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Kevin Farinango, MSc
Infinitusmind, Ecuador

 

Text analysis in Python

  • Online environments for getting started in data science
  • Data sources
  • Importing data
  • Data cleansing
  • Process automation
  • Visualisation of results
  • NLP models
  • Creation of technical manuals
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Bryan Saravia, MSc & Ernesto Santos, PhD
Universidad Indoamérica, Ecuador

 

Data collection and analysis with a multidimensional mobile mapping system based on cost-effective opensource software and hardware tools

The steps for the design of a mobile mapping system using single board computers (SBC) and sensors such as: 3D depth or LIDAR cameras, GPS, IMUs and environmental sensors. The design of this system aims to acquire geo-referenced data from the different sensors installed in the prototype and carried in a vehicle. The information collected is then transformed into automated learning models to explore its potential cartographic applications. Therefore, the tutorial is divided into two sections, the first one describing the development of the prototype, the calibration of its sensors, and its installation in a vehicle; and the second one describing different automated learning routines to process the collected information and derive potential cartographic products. The tests that will be performed are on two utilities: emulating the use of a sensor for data collection with a serial protocol, and making a data analysis on the data collected in the developed prototype.

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Jorge Sánchez Freire Ms. C.
CrySeg, Ecuador

 

Computer Forensics in 3 Capture The Flags or Less

The tutorial will focus on three phases to learn how to use information extraction and forensic tools:

  • CTF I: An image is presented with hidden information nested one inside the other, the use of Hex Editor to determine the existence of hidden information, Cyberchef to extract the existing text strings, Binwalk to extract files and also decoding tools will be learnt, as the flag will be coded in base 64.
  • CTF II: The objective is to determine information that has passed through a communications channel, for this purpose a .pcap file is given, which will be read through the wireshark tool where you will learn a little of its basic handling, how network protocols work and extraction of important information.
  • CTF III: The dump of a ram memory is given, inside which there is a flag to be investigated, the volatility tool is used for this and with some information GIMP is used to verify the existence of images (if any) within simple bytes of data

The aim is to review how to obtain information from different media and the use of tools used for forensic analysis.

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Andrés Gallego, MSc
Media Commerce, Ecuador

 

Can today's cities be Smart Cities?

Learn about technology-based systems to promote economic development, sustainability, well-being and security.

Industry 4.0 - Opportunities and challenges for productive development

Thanks to Industry 4.0, productivity is likely to grow by leaps and bounds. So there is every reason to start preparing now for the work of the future.