Development of a mobile, cost-effective and easy to use inertial motion capture system for monitoring in rehabilitation applications

Many people are familiar with the feeling of instability, pain, or subsidence in the knee joint after a knee injury. There are many different methods for examining the knee, such as the drawer test or the Lachman test [1], before and after surgery. While these tests can be used in short term and provide useful results, motion capture systems can be used as an alternative measurement method, almost as a substitute in longer term. These include marker-based or mechanica l systems, which achieve good measurement results but are expensive and inflexible. For this reason, this paper presents a mobile, easy-to-use motion and easy expandable capture system using a low-cost IMU-based development system. The modular design of the system allows it to be adapted to each body region with simple adjustments. However, the present work focuses on applications for capturing human motion sequences and deriving three joint angles of the lower extremities to detect malposition.

VARIASI POHON FRAKTAL MENGGUNAKAN L-SYSTEMS

Fractal tree is simply a trunk and a number of branches, each of which looks like the tree itself. The fractal tree can be generated using the IFS and L-Systems methods. In this article, the author develops fractal tree generation using L-Systems with additional variations. The variations given are in thickness, length, and branch angle. This development is expected to produce more diverse fractal tree patterns. In generating a fractal tree using L-Systems, it begins by determining the letters and symbols to be used. Then determine which axioms should be used. Then the production rules are made together with the determination of the parametric L-Systems. And the last is to determine the probability value for the stochastic L-Systems. In the deterministic L-Systems, thickness variations, length variations, and branch angle variations are carried out. In the variation of branch thickness, if the ratio of the thickness of the left branch is greater than that of the right branch, the fractal tree is skewed to the left. Then in the variation of branch length if the ratio of the length of the left branch is smaller than the ratio of the length of the right branch, the length of the left branch is longer than the length of the right branch. Then at the angle of the branching the smaller the 𝜃 that is included causes the branches to be closer together. The use of stochastic L-Systems can produce more diverse fractal tree patterns, even though they use the same production rules and parameter values

Nutritional management of Cavia porcellus L. in the Andes of Colombia

The Cavia porcellus L. systems implemented by small producers in Colombia have been slow to apply the processes of development and incorporation of feeding practices and technology in nutritional support. The objective of this study was to determine the feeding practices and technology in nutritional support implemented and projected in the C. porcellus L. systems by the producers. Four components were evaluated in 404 C. porcellus L. units and 29 focus groups: demography, identification of the production unit, implemented feeding practices, technology in nutrition and feeding, and the C. porcellus L. producers' perspectives. A Pearson Chi-squared test, a Tukey’s T-test, and a Multiple Linear Regression were used to evaluate the differences between regions using SPSS software version 20. The average area of C. porcellus L. -producing units corresponded to 0.35 ha (Nariño) and 0.17 ha (Putumayo). The predominant food base was forage (67%) produced on the farm (83%). There were significant differences between regions, with a p < 0.05 in food base, forage cultivation area, forage conservation feeding practices, type of fertilization, and the group of animals supplemented. The use of technology such as feed based on kitchen waste and supplements was used by producers in the Putumayo region (p > 0.05) most frequently. Our data show that C. porcellus L. systems in the study area not only have a high potential in the diversity of the forage supplements that makes up the diets but also in the development and implementation of feeding practices and technology in nutrition and animal feeding.

Genetically generated ASCII trees

This project, inspired by the article: "On genetic algorithms and Lindenmayer systems" by Gabriela Ochoa, implements an ASCII tree-generation program using L-systems.

L-systems from 3D-imaging of Phenotypes of Arborized Structures

Biology is 3D. Therefore, it is important to be able to analyze phenomena in a spatio-temporal manner. Different fields in computational sciences are useful for analysis in biology; i.e. image analysis, pattern recognition and machine learning. To fit an empirical model to a higher abstraction, however, theoretical computer science methods are probed. We explore the construction of empirical 3D graphical models and develop abstractions from these models in L-systems. These systems are provided with a profound formalization in a grammar allowing generalization and exploration of mathematical structures in topologies. The connections between these computational approaches are illustrated by a case study of the development of the lactiferous duct in mice and the phenotypical effects from different environmental conditions we can observe on it. We have constructed a workflow to get 3D models from different experimental conditions and use these models to extract features. Our aim is to construct an abstraction of these 3D models to an L-system from features that we have measured. From our measurements we can make the productions for an L-system. In this manner we can formalize the arborization of the lactiferous duct under different environmental conditions and capture different observations. All considered, this paper illustrates the joint of empirical with theoretical computational sciences and the augmentation of the interpretation of the results. At the same time, it shows a method to analyze complex 3D topologies and produces archetypes for developmental configurations.