Open Access Zeitschriften des Universitätsverlages der Technischen Universität Chemnitz
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An experimental numerics approach to the terrestrial brachistochrone
Get PDFWe revisit the classical and solved problem of the terrestrial brachistochrone, the fastest path between two points in earth\u27s gravitation field, by an approach we refer to as experimental numerics. By this term we mean arriving at a qualified guess by deliberately taking inspiration from numerical results that are easily available.Since in many cases verification is easier than derivation, this approach may have some educational merits.Current software tools such as Jupyter Notebooks blend coding with documentation and allow leveraging this approach to enable new ways in modern teaching.The intended audience are graduate students with prior knowledge of multivariate calculus, ordinary differential equations (ODEs), calculus of variations and classical physics, particularly mechanics
EEG representing on brain surface using volume rendering
Get PDFBrain research is challenging. One of the standard research methods is electroencephalography (EEG). As a rule, this study is presented in the form of graphs. This article describes an approach in which this data is mapped onto a brain model generated from a magnetic resonance imaging (MRI) scan. This allows you to look at the EEG study from a different point of view. An MRI scan will also allow you to take into account some of the features of the brain. This is an advantage over mapping just to a brain template. This non-invasive system can be implemented to monitor the patient in real-time, for example, during space flight
Dataset Evaluation for Multi Vehicle Detection using Vision Based Techniques
Get PDFVehicle detection is one of the primal challenges of modern driver-assistance systems owing to the numerous factors, for instance, complicated surroundings, diverse types of vehicles with varied appearance and magnitude, low-resolution videos, fast-moving vehicles. It is utilized for multitudinous applications including traffic surveillance and collision prevention. This paper suggests a Vehicle Detection algorithm developed on Image Processing and Machine Learning. The presented algorithm is predicated on a Support Vector Machine(SVM) Classifier which employs feature vectors extracted via Histogram of Gradients(HOG) approach conducted on a semi-real time basis. A comparison study is presented stating the performance metrics of the algorithm on different datasets
Face Recognition Based on Statistical Texture Features
Get PDFFacial recognition has attracted the attention of researchers and has been one of the most prominent topics in the fields of image processing and pattern recognition since 1990. This resulted in a very large number of recognition methods and techniques with the aim of increasing the accuracy and robustness of existing systems. Many techniques have been developed to address the challenges and reliable recognition systems have been reached but require considerable processing time, suffer from high memory consumption and are relatively complex. The focus of this paper is on extracting subset of descriptors (less correlated and less calculations) from the co-occurrence matrix with the goal of enhancing the performance of Haralick’s descriptors. Improvements are achieved by adding the image pre-processing and selecting the proper method according to the database problem and by extracting features from image local regions
Drowsiness Classification for Internal Driving Situation Awareness on Mobile Platform
Get PDFthe sleeping driver is potentially more likely to cause an accident than the person who speeds up since the driver is the victim of sleepiness. Automobile industry researchers, including manufacturers, seek to solve this issue with various technical solutions that can avoid such a situation. This paper proposes an implementation of a lightweight method to detect driver\u27s sleepiness using facial landmarks and head pose estimation based on neural network methodologies on a mobile device. We try to improve the accurateness by using face images that the camera detects and passes to CNN to identify sleepiness. Firstly, applied a behavioral landmark\u27s sleepiness detection process. Then, an integrated Head Pose Estimation technique will strengthen the system\u27s reliability. The preliminary findings of the tests demonstrate that with real-time capability, more than 86% identification accuracy can be reached in several real-world scenarios for all classes, including with glasses, without glasses, and light-dark background. This work aims to classify drowsiness, warn, and inform drivers, helping them to stop falling asleep at the wheel. The integrated CNN-based method is used to create a high accuracy and simple-to-use real-time driver drowsiness monitoring framework for embedded devices and Android phone
Analysis of Machine Learning Approach for the modemodel in SWC Mapping in Automotive Systems
Get PDFAutomotive technologies are ever-increasinglybecoming digital. Highly autonomous driving togetherwith digital E/E control mechanisms include thousandsof software applications which are called as software components. Together with the industry requirements, and rigorous software development processes, mappingof components as a software pool becomes very difficult.This article analyses and discusses the integration possiblilities of machine learning approaches to our previously introduced concept of mapping of software components through a common software pool
Automated Evaluation of Smart City Data from Cloud-System
Get PDFSmart city data processing is an important taskfor the promotion and development of smart cities. The articledescribes and presents the types of smart city data, discusses theexisting modern methods and approaches to the processing ofsmart city data, such as pre-processing, assessment and analysis,and their tasks. This article contains architectural solutions andmethods used in the developed automated smart city dataevaluation system. There is also a detailed description of theintegration of the developed system with the DriveCloud cloudserver for receiving and storing smart city data
Intelligent Approaches for Smart Cities
Get PDFThe Embedded Self-Organizing System Journal (ESSJ) is calling for contributions to an issue on the subject of "Smart Cities". This issue focuses on the wide variety of application areas for the sustainable development of smart cities