Development of a system for ascertainment of dominant lethal events in Lebistes reticulatus

M.S.John W. Crenshaw, Jr

Pipeline Implementation of Peer Group Filtering in FPGA

In the paper a parallel FPGA implementation of the Peer Group Filtering algorithm is described. Implementation details, results, performance of the design and FPGA logic resources are discussed. The PGF algorithm customized for FPGA is compared with the original one and Vector Median Filtering

Real-time Foreground Object Detection Combining the PBAS Background Modelling Algorithm and Feedback from Scene Analysis Module

The article presents a hardware implementation of the foreground object detection algorithm PBAS (Pixel-Based Adaptive Segmenter) with a scene analysis module. A mechanism for static object detection is proposed, which is based on consecutive frame differencing. The method allows to distinguish stopped foreground objects (e.g. a car at the intersection, abandoned luggage) from false detections (so-called ghosts) using edge similarity. The improved algorithm was compared with the original version on popular test sequences from the changedetection.net dataset. The obtained results indicate that the proposed approach allows to improve the performance of the method for sequences with the stopped objects. The algorithm has been implemented and successfully verified on a hardware platform with Virtex 7 FPGA device. The PBAS segmentation, consecutive frame differencing, Sobel edge detection and advanced one-pass connected component analysis modules were designed. The system is capable of processing 50 frames with a resolution of 720 × 576 pixels per second.

Optimisation of the PointPillars network for 3D object detection in point clouds

In this paper we present our research on the optimisation of a deep neural network for 3D object detection in a point cloud. Techniques like quantisation and pruning available in the Brevitas and PyTorch tools were used. We performed the experiments for the PointPillars network, which offers a reasonable compromise between detection accuracy and calculation complexity. The aim of this work was to propose a variant of the network which we will ultimately implement in an FPGA device. This will allow for real-time LiDAR data processing with low energy consumption. The obtained results indicate that even a significant quantisation from 32-bit floating point to 2-bit integer in the main part of the algorithm, results in 5%-9% decrease of the detection accuracy, while allowing for almost a 16-fold reduction in size of the model.Comment: 7 pages, 2 figures, submitted to SPA 2020 conferenc

Marketing plan of KINDIGO

Treball Final de Grau en Administració d'Empreses. Codi: AE1049. Curs acadèmic 2015-201

Social Economy and the Transition Towards Circular Economy: a Survey Based Approach

Introduction. European social economy employment is 6.3% of the European Union's (EU) working population. In Romania and other recent EU member states, it is responsible for less than 2% of the total employment. The need for a precise legal and political concept of social economy and social enterprise confused the Romanian population and made their measurement easier. Both concepts have been increasingly employed in Romania since 2005, following the new EU policy approaches for social inclusion. Consequently, the social economy has grown significantly in recent years, with a diverse range of actors pursuing various social goals. Aim and tasks. The paper aims to provide an up-to-date overview of the social economy in Romania by showing the activity types and their involvement in the circular economy transition and then by examining the social enterprises' social and economic performance. Results. The creation of social value and social impact of social enterprises, the response of organisations to entrepreneurial change, and the level of risk-taking were substantiated. The way these aspects are correlated with performance was determined. A quantitative analysis of the social economy and transition towards a circular economy in Romania yielded the following main findings: i) more than half of the surveyed enterprises did not understand the concept of a circular economy, and ii) there was a strong statistically significant correlation (R=0.61) between social performance and environmental receptivity. The correlation between social and economic performance is statistically significant, with an average intensity (R=0.32). The correlation between economic performance and responsiveness to the environment was also statistically significant for medium-to-high intensity (R= 0.28). Conclusions. The social economy puts social and democratic objectives into practice, whereas a circular economy is essential for a sustainable transition. Various actors operate in different industries and geographic areas in the Romanian social economy. Social economy actors aim to contribute to a more inclusive economy and equitable society, inspiring the government and private sector to demonstrate and implement more inclusive and sustainable practices. These practices cover decent labour, more education, and secure lives. Social innovation, defined as long-term solutions to social problems, is a critical way to build a circular society