Python - Based Image Processing

The main goal of the Image Process project is to extract important information from photographs. The machine may produce a description, interpretation, and comprehension of the scene based on this extracted data. The main goal of image processing is to transform photos in the desired way. This technique allows users to obtain the text of picture processing printing processes and to save the data to disc in a variety of formats. In other terms, image processing is the process of neutering and analysing graphical information in photographs. In our lives, we frequently come across many types of image processing. The clearest example of image processing in our lives is our brain's perceiving of visuals. Once we perceive pictures with our eyes, the process takes relatively little time

Irreversibility Analysis for Eyring–Powell Nanoliquid Flow Past Magnetized Riga Device with Nonlinear Thermal Radiation

The report contained in this article is based on entropy generation for a reactive Eyring–Powell nanoliquid transfer past a porous vertical Riga device. In the developed model, the impacts of viscous dissipation, thermophoresis alongside nonlinear heat radiation and varying heat conductivity are modelled into the heat equation. The dimensionless transport equations are analytically tackled via Homotopy analysis method while the computational values of chosen parameters are compared with the Galerkin weighted residual method. Graphical information of the various parameters that emerged from the model are obtained and deliberated effectively. The consequences of this study are that the temperature field expands with thermophoresis, Brownian motion and temperature ratio parameters as the modified Hartmann number compels a rise in the velocity profile. The entropy generation rises with an uplift in fluid material term as well as Biot and Eckert numbers whereas Bejan number lessens with Darcy and Eckert parameters.

Algorithm for dynamic formation of a single raster photo map of the seabed during the movement of an autonomous underwater vehicle

An algorithm has been developed for creating a single raster map of the seabed from photos obtained from vertically downward cameras of autonomous underwater vehicles (AUV) using tile graphics. The images obtained during the movement of AUV are combined into a single scalable photo map, divided into square segments (tiles). This representation of graphical information allows to quickly access the images with specialized tools after lifting the AUV to the surface and reduce the time spent by the operator to analyze the results of the mission. The images were combined using simple geometric transformations based on the data received from the navigation systems of the underwater vehicle and the parameters of its camera. The efficiency of the algorithm was tested on real data taken from a marine expedition.

Algorithm of Dynamic Forming One Whole Raster Photo Map of the Seabed During its Shooting by an Autonomous Uninhabited Underwater Vehicle

An algorithm has been developed for creating one whole raster photo map of the seabed from images obtained from vertically downward cameras of autonomous underwater vehicles (AUV) using tile graphics. Tile representation of graphical information allows to quickly access the images after lifting the AUV to the surface and reduce the time spent by the operator to analyse the results of the mission. The images were combined using simple geometric transformations based on the data received from the navigation systems of the AUV and the parameters of its camera, so the algorithm can be implemented on the AUV with low-performance onboard computer, as shown in the experiment.

Possibility of Application of the User Interface of a Conventional Smartphone for Communication of Graphical Information with a Special HW/SW Device

This article is focused on enhancement of HW/SW device by cooperation with a smartphone interface. The device was a programmable Lego Mindstorms Education EV3 set in the form of a robot designed to solve the Rubik’s Cube. The aim of the research was to replace the built-in color sensor with a camera that would allow the cube scanning process to be accelerated. Two approaches were chosen to meet the goal: the NXTcam camera, accessible as an accessory to expand the set, and the camera built into the smartphone. The use of NXTcam led to better scan time, but this result was prone to external influences. The camera on the smartphone sped up the scanning process to 57% of the original time. The impact of external factors on the outcome was significantly lower, compared to NXTcam. In the experiment, the cube solving process was observed in natural light, with addition distractive light source and in artificial light.

Accessible interactive 3D models for blind and low-vision people

Blind and low-vision (BLV) people experience difficulty accessing graphical information, particularly regarding travel and education. Tactile diagrams and 3D printed models can improve access to graphical information for BLV people; however, these formats only allow limited detailed and contextual information. Interactive 3D printed models (I3Ms) exist, but many rely on passive audio labels that don't particularly empower BLV people in independent knowledge building and interpretation. This project investigates the creation of I3Ms that offer more engaging experiences with a focus on facilitating independent exploration and knowledge discovery. Specifically, this project explores how BLV people want to interact with I3Ms, interactive functionalities and behaviours that I3Ms should support, such as conversational interfaces and model agency, and to understand the relationship between I3Ms and conventional accessible graphics.

WAYS OF FORMING PROFESSIONAL GRAPHIC COMPETENCE OF FUTURE ARCHITECTS

In the article actuality of research of questions of reformation is certain in the system of higher education, including from the point of view of improvement of modern principles of teaching of graphic disciplines creation of that assists forming of professional graphic competence students of architectural specialties. The forward process of improvement of educational activity produces new requirements to educating, in particular to his quality constituent, in this connection there is a necessity of development of mechanisms of the permanent monitoring of progress. The European model of education on the nearest future plugs in itself one of directions beginning such type of educating, that is characterized the considerable volume of independent work and active bringing in of students of creative specialties to the real projects, already from the first course, that it is impossible without steady skills individual graphic competence. In the last few years the circle of tasks that can be decided by graphic methods broadened, from meaningfulness of graphic disciplines that mortgage bases of the spatial thinking is accordingly enhance able therefore. The aim of our study is to analyze and summarize the results of experiments on the effect of quality of graphic competence of students which contributes to the effectiveness of their professional development. Long-term practice of teaching and exchange of experience in the methodology of graphic disciplines has shown that the formation of professional competence is impossible without a thorough study of the foundations of graphic literacy, whose essence lies in the study of the discipline Descriptive Geometry. Graphic education is a process, which leads to student’s gaining knowledge and skills of work with graphical information. The development of the ability to correctly perceive, create, store and transmit different graphical information about objects, processes and phenomena is the task of graphic training of professional education. Professional knowledge is objective necessary knowledge and abilities that is highly sought by future practical activity.

Is My Patient Improving? Individualized Gait Analysis in Rehabilitation

In the rehabilitation field, clinicians are continually struggling to assess improvements in patients following interventions. In this paper, we propose an approach to use gait analysis based on inertial motion capture (MoCap) to monitor individuals during rehabilitation. Gait is a cyclical movement that generates a sufficiently large data sample in each capture session to statistically compare two different sessions from a single patient. Using this crucial idea, 21 heterogeneous patients with hemiplegic spasticity were assessed using gait analysis before and after receiving treatment with botulinum toxin injections. Afterwards, the two sessions for each patient were compared using the magnitude-based decision statistical method. Due to the challenge of classifying changes in gait variables such as improvements or impairments, assessing each patient’s progress required an interpretative process. After completing this process, we determined that 10 patients showed overall improvement, five patients showed overall impairment, and six patients did not show any overall change. Finally, the interpretation process was summarized by developing guidelines to aid in future assessments. In this manner, our approach provides graphical information about the patients’ progress to assess improvement following intervention and to support decision-making. This research contributes to integrating MoCap-based gait analysis into rehabilitation.