For synchrotron based user experiments, radiation characteristics such as energy resolution, flux and beamsize are of great importance in terms of the feasibility of the experiment. The main difficulty stems from adjusting the optics and other components throughout the synchrotron beamline to obtain the required energy resolution, flux and beam position values. The optimum parameters are...
Since accelerator based light sources are cutting-edge-technology tools in natural sciences research of the 21st Century, they provide unique user experiments by superior radiation characteristics. On account of this, rapid & high-precision alignment of photon beamline components (including design and optimization of the undulator as a matter of course), is a big concern for many beamline...
X-ray absorption spectroscopy is an established technique in the application of synchrotron radiation with applications in many scientific fields. Some scientists are not really familiar with the applications of X-rays in science, others have rather complicated sample environments, which require their full attention. Everybody will profit from an automation of the instrument with...
Research on the application of small-angle x-ray scattering (SAXS) method, using x-ray free-electron laser (XFEL) images, utilizes normalizing flows for the inversion of experimental X-ray scattering images. One of the main challenges lies in the inversion of such experimental scattering images, which contain various artifacts such as parasitic scattering, slit scattering, beamstop, and...
As life expectancy rises, the elderly care sector faces a looming workforce shortage. Ambient Assisted Living (AAL) systems emerge as a promising solution, with Human Activity Recognition (HAR) as a key component. HAR's ability to automatically track activities empowers comprehensive health and well-being assessments, easing the burden on healthcare professionals. Lifelogging and home diary...
Deep learning (DL) has become widely used in many optical sensor scenarios during the last few years. Notable progress has been made in integrating deep learning algorithms, which improve accuracy and reduce noise in optical sensor data. Optical sensors are a highly promising technology for modern intelligent sensing platforms. They are used in many different fields, including defence,...
Soft X-ray spectroscopy is a valuable tool for extracting information about the electronic properties of atoms and molecules within a given sample. This technique provides insights into various aspects,
including electronic configuration, bonding traits, and the surrounding chemical environment. Nevertheless, a significant portion of pertinent chemical processes, particularly those of a...
Cotton whitefly is an important pest that damages crops and reduces crop yield. An IoT-based data Aggregation methodology is proposed to address the challenges of cotton whitefly pest monitoring and control. Uses sensors and IoT devices provide real-time monitoring and complete control of whitefly pests, while also providing timely information to farmers and supporting decision-making by...
Femoral fractures, a growing threat to the elderly, are predicted to double by 2050. Early diagnosis and intervention are crucial for joint protection, quality of life, and mobility after surgery. However, misdiagnosis triggers a cascade of delayed treatment, prolonged recovery, and spiralling costs, impacting both patients and healthcare systems.
Deep learning is revolutionizing medical...
The alignment of each analyzer position in X-ray Raman Scattering (XRS) setup requires a great deal of time, therefore using the optimization approaches is necessary. In this study, Non-dominating Sorting Genetic Algorithm-II (NSGA-II) was used on 101 images from detectors while positioning each analyzer. The images first filtered through 2D Gaussian filter to obtain a cloud of dots...
In recent times, visual surveillance systems have undergone rapid advancements, exhibiting increased capabilities and widespread integration of artificial intelligence. Concurrently, these surveillance systems have raised concerns by exposing the public to emerging privacy and security risks. Instances of overt misuse of surveillance technologies have surged, prompting the implementation of...
