FollowMe: Vehicle Behaviour Prediction in Autonomous Vehicle Settings

An ego vehicle following a virtual lead vehicle planned route is an essential component when autonomous and non-autonomous vehicles interact. Yet, there is a question about the driver's ability to follow the planned lead vehicle route. Thus, predicting the trajectory of the ego vehicle route given a lead vehicle route is of interest. We introduce a new dataset, the FollowMe dataset, which offers a motion and behavior prediction problem by answering the latter question of the driver's ability to follow a lead vehicle. We also introduce a deep spatio-temporal graph model FollowMe-STGCNN as a baseline for the dataset. In our experiments and analysis, we show the design benefits of FollowMe-STGCNN in capturing the interactions that lie within the dataset. We contrast the performance of FollowMe-STGCNN with prior motion prediction models showing the need to have a different design mechanism to address the lead vehicle following settings

Platforms for Parallel Processing of Task on GPU

Import 05/08/2014Tato bakalářská práce se zabývá zpracováním úloh na grafické kartě. Konkrétním typem úloh jsou paralelní třídící algoritmy. V první části práce se vyskytuje popis technologií CUDA a OpenCL, ve kterých je později třídící algoritmus implementován. Dále je rozebrán princip daného algoritmu a jeho implementace. Následuje profilování a optimalizace třídícího algoritmu. V poslední částí je testování algoritmů na různých grafických kartách a porovnání obou technologií.This thesis deals with the processing tasks to the graphics card. Specific types of tasks are selected sorting algorithms. The first part includes description CUDA and OpenCL technology in which sorting algorithm is implemented. Next it is described the principle of the algorithm and its implementation. Next step is profiling and optimization of sorting algorithm. The last part includes testing these algorithms on different graphics cards and a comparison of both technologies.460 - Katedra informatikydobř

Methodological approach for farm typology construction in terms of soil health – the EU case

Soil health is a significant problem in agriculture which demands a tailor-made approach. The study aims to develop a methodological approach for farm typology construction in terms of soil health. TUdi project, under which was made this study, aims to transform unsustainable management of soils in key cropping systems in Europe and China, developing an integrated platform of alternatives to reverse soil degradation. Thus, the focus is on small, medium, and large EU farms, which produce in the three key cropping systems - grassland, cereal-based rotation, and tree crops. It was applied principal component analysis based on which it was constructed four factors, related to soil health. The results from this analysis was used to feed up the cluster analysis together with other significant variables. The developed farm typology consists of four farm types. From practical point of view was introduced a methodology which allow to determine the type of each farm according the TUdi typology

Методологичен подход за изграждане на типологията на ферми от гледна точка на здравето на почвата случаят на ЕС

[EN] Soil health is a significant problem in agriculture which demands a tailor-made approach. The study aims to develop a methodological approach for farm typology construction in terms of soil health. TUdi project, under which was made this study, aims to transform unsustainable management of soils in key cropping systems in Europe and China, developing an integrated platform of alternatives to reverse soil degradation. Thus, the focus is on small, medium, and large EU farms, which produce in the three key cropping systems – grassland, cereal-based rotation, and tree crops. It was applied principal component analysis based on which it was constructed four factors, related to soil health. The results from this analysis was used to feed up the cluster analysis together with other significant variables. The developed farm typology consists of four farm types. From practical point of view was introduced a methodology which allow to determine the type of each farm according the TUdi typology.[BG] Здравето на почвата е значим проблем в аграрната икономика, които изисква прилагането на индивидуален подход. Целта на настоящата разработка е да се предложи методология за конструиране на типология на ферми, свързана със здравето на почвата. Анализът е реализиран по проект „Tudi“, който цели трансформирането на неустойчивото управление на почвите в ключови системи в Европа и Китай, разработвайки интегрирана платформа за алтернативи за обръщане на деградацията на почвата. В тази връзка фокусът е насочен към малки, средни и големи ферми от страни, членки на ЕС, които произвеждат продукция в трите ключови системи на земеделието – зърнени култури, трайни насаждения и пасища. Използван е анализ на главните компоненти за конструирането на четири фактора, свързани със здравето на почвата. Тези фактори, заедно с други ключови променливи, са анализирани чрез клъстерен анализ за формирането на четири типа ферми. Предложен е подход за определяне на мястото на всяка една ферма в тази типология.The study was developed with the financial help of the European Union’s Horizon 2020 Research and Innovation action under the project “Transforming Unsustainable management of soils in key agricultural systems in EU and China. Developing an integrated platform of alternatives to reverse soil degradation” – TUdi with grant agreement No 101000224.Peer reviewe

GABA immunostaining in the central complex of dicondylian insects

The central complex is a group of midline-crossing neuropils in the insect brain involved in head direction coding, sky compass navigation, and spatial visual memory. To compare the neuroarchitecture and neurochemistry of the central complex in insects that differ in locomotion, ways of orientation, time of activity (diurnal, nocturnal), and evolutionary history, we studied the distribution of γ-aminobutyric acid (GABA) immunostaining in the central complex of 29 species, ranging from Zygentoma to Diptera. In all species, the lower division of the central body was densely innervated by GABA-immunoreactive tangential neurons. These neurons had additional arborizations in the bulb, a distinct region of synaptic complexes in the lateral complex, and somata in a cell cluster mediodorsally to the antennal lobe. Differences in the appearance of GABA immunostaining in the lower division of the central body corresponded to differences in neuropil architecture, such as transformation of the lower division into a toroid in certain Diptera and Heteroptera. In nearly all species two additional systems of tangential neuron of the upper division of the central body were GABA-immunoreactive. One of these systems diffusely invaded a superior layer, while the second system showed fan-like projections in an inferior layer. Sparse immunostaining in the protocerebral bridge was detected in cockroaches, a cricket, and two hemipteran species. The data show that three systems of GABA-immunoreactive tangential neurons of the central body are highly conserved and suggest that the layered organization of the upper division of the central body is, likewise, largely maintained from basal to advanced species

The Changing Landscape for Stroke\ua0Prevention in AF: Findings From the GLORIA-AF Registry Phase 2

Background GLORIA-AF (Global Registry on Long-Term Oral Antithrombotic Treatment in Patients with Atrial Fibrillation) is a prospective, global registry program describing antithrombotic treatment patterns in patients with newly diagnosed nonvalvular atrial fibrillation at risk of stroke. Phase 2 began when dabigatran, the first non\u2013vitamin K antagonist oral anticoagulant (NOAC), became available. Objectives This study sought to describe phase 2 baseline data and compare these with the pre-NOAC era collected during phase 1. Methods During phase 2, 15,641 consenting patients were enrolled (November 2011 to December 2014); 15,092 were eligible. This pre-specified cross-sectional analysis describes eligible patients\u2019 baseline characteristics. Atrial fibrillation disease characteristics, medical outcomes, and concomitant diseases and medications were collected. Data were analyzed using descriptive statistics. Results Of the total patients, 45.5% were female; median age was 71 (interquartile range: 64, 78) years. Patients were from Europe (47.1%), North America (22.5%), Asia (20.3%), Latin America (6.0%), and the Middle East/Africa (4.0%). Most had high stroke risk (CHA2DS2-VASc [Congestive heart failure, Hypertension, Age  6575 years, Diabetes mellitus, previous Stroke, Vascular disease, Age 65 to 74 years, Sex category] score  652; 86.1%); 13.9% had moderate risk (CHA2DS2-VASc = 1). Overall, 79.9% received oral anticoagulants, of whom 47.6% received NOAC and 32.3% vitamin K antagonists (VKA); 12.1% received antiplatelet agents; 7.8% received no antithrombotic treatment. For comparison, the proportion of phase 1 patients (of N = 1,063 all eligible) prescribed VKA was 32.8%, acetylsalicylic acid 41.7%, and no therapy 20.2%. In Europe in phase 2, treatment with NOAC was more common than VKA (52.3% and 37.8%, respectively); 6.0% of patients received antiplatelet treatment; and 3.8% received no antithrombotic treatment. In North America, 52.1%, 26.2%, and 14.0% of patients received NOAC, VKA, and antiplatelet drugs, respectively; 7.5% received no antithrombotic treatment. NOAC use was less common in Asia (27.7%), where 27.5% of patients received VKA, 25.0% antiplatelet drugs, and 19.8% no antithrombotic treatment. Conclusions The baseline data from GLORIA-AF phase 2 demonstrate that in newly diagnosed nonvalvular atrial fibrillation patients, NOAC have been highly adopted into practice, becoming more frequently prescribed than VKA in Europe and North America. Worldwide, however, a large proportion of patients remain undertreated, particularly in Asia and North America. (Global Registry on Long-Term Oral Antithrombotic Treatment in Patients With Atrial Fibrillation [GLORIA-AF]; NCT01468701