4K HEVC video processing with GPU optimization on Jetson TX1

Learn how to capture and process 4K video (HEVC encoding, scaling, mixing) on the TX1 and how to integrate the powerful GPU for complex tasks. 4K video previously required custom hardware or high-performance desktop processors. The heterogeneous system architecture of the TX1 allows to process these tasks in a single chip. The main challenges lie in the optimal utilization of the different hardware resources of the TX1 (CPU, GPU, dedicated hardware blocks) and in the software frameworks. Variants are discussed and bottlenecks identified. The interaction between hardware and software is shown. Simple capturing and displaying 4K video can be achieved using existing out-of-the-box methods. However, GPU based enhancements were developed and integrated for realtime scaling and video mixing

Partitioning of computationally intensive tasks between FPGA and CPUs

With the recent development of faster and more complex Multiprocessor System-on-Cips (MPSoCs), a large number of different resources have become available on a single chip. For example, Xilinx's UltraScale+ is a powerful MPSoC with four ARM Cortex-A53 CPUs, two Cortex-R5 real-time cores, an FPGA fabric and a Mali-400 GPU. Optimal partitioning between CPUs, real-time cores, GPU and FPGA is therefore a challenge. For many scientific applications with high sampling rates and real-time signal analysis, an FFT needs to be calculated and analyzed directly in the measuring device. The goal of partitioning such an FFT in an MPSoC is to make best use of the available resources, to minimize latency and to optimize performance. The paper compares different partitioning designs and discusses their advantages and disadvantages. Measurement results with up to 250 MSamples per second are shown

Does Being Attractive Always Help? Positive and Negative Effects of Attractiveness on Social Decision Making

Previous studies of organizational decision making demonstrate an abundance of positive biases directed toward highly attractive individuals. The current research, in contrast, suggests that when the person being evaluated is of the same sex as the evaluator, attractiveness hurts, rather than helps. Three experiments assessing evaluations of potential job candidates (Studies 1 and 3) and university applicants (Study 2) demonstrated positive biases toward highly attractive other-sex targets but negative biases toward highly attractive same-sex targets. This pattern was mediated by variability in participants’ desire to interact with versus avoid the target individual (Studies 1 and 2) and was moderated by participants’ level of self-esteem (Study 3); the derogation of attractive same-sex targets was not observed among people with high self-esteem. Findings demonstrate an important exception to the positive effects of attractiveness in organizational settings and suggest that negative responses to attractive same-sex targets stem from perceptions of self-threat

Acute kidney injury prediction in cardiac surgery patients by a urinary peptide pattern: a case-control validation study

Background Acute kidney injury (AKI) is a prominent problem in hospitalized patients and associated with increased morbidity and mortality. Clinical medicine is currently hampered by the lack of accurate and early biomarkers for diagnosis of AKI and the evaluation of the severity of the disease. In 2010, we established a multivariate peptide marker pattern consisting of 20 naturally occurring urinary peptides to screen patients for early signs of renal failure. The current study now aims to evaluate if, in a different study population and potentially various AKI causes, AKI can be detected early and accurately by proteome analysis. Methods Urine samples from 60 patients who developed AKI after cardiac surgery were analyzed by capillary electrophoresis-mass spectrometry (CE-MS). The obtained peptide profiles were screened by the AKI peptide marker panel for early signs of AKI. Accuracy of the proteomic model in this patient collective was compared to that based on urinary neutrophil gelatinase-associated lipocalin (NGAL) and kidney injury molecule-1 (KIM-1) ELISA levels. Sixty patients who did not develop AKI served as negative controls. Results From the 120 patients, 110 were successfully analyzed by CE-MS (59 with AKI, 51 controls). Application of the AKI panel demonstrated an AUC in receiver operating characteristics (ROC) analysis of 0.81 (95 % confidence interval: 0.72–0.88). Compared to the proteomic model, ROC analysis revealed poorer classification accuracy of NGAL and KIM-1 with the respective AUC values being outside the statistical significant range (0.63 for NGAL and 0.57 for KIM-1)

Indexing forecast models for matching and maintenance

Forecasts are important to decision-making and risk assessment in many domains. There has been recent interest in integrating forecast queries inside a DBMS. Answering a forecast query requires the creation of forecast models. Creating a forecast model is an expensive process and may require several scans over the base data as well as expensive operations to estimate model parameters. However, if forecast queries are issued repeatedly, answer times can be reduced significantly if forecast models are reused. Due to the possibly high number of forecast queries, existing models need to be found quickly. Therefore, we propose a model index that efficiently stores forecast models and allows for the efficient reuse of existing ones. Our experiments illustrate that the model index shows a negligible overhead for update transactions, but it yields significant improvements during query execution

Secure boot concept on the Zynq Ultrascale+ MPSoC

The complexity of today's multiprocessor System-on-Chip (MPSoC) can lead to major security risks in embedded designs, as the available security functions are often not or insufficiently utilized.This presentation demonstrates a concept of a secure boot and runtime system on a Xilinx Zynq Ultrascale+ to prevent potential hacker attacks. The security concept is matched with dedicated on-chip security features like AES core, RSA core and hashing core. It also includes monitoring of environmental parameters such as voltage and temperature to detect tampering and prevent disclosure of data. In addition, secure key storage and various methods for minimizing key consumption are discussed. Finally, the talk covers the ARM TrustZone technology and the use of OP-TEE as a secure operating system

Real time motion tracking for augmented reality with TOF camera and vulkan rendering

Augmented Reality is the concept of enhancing the real world with virtual objects or information with projections into a viewfinder or through specialized goggles. Simpler forms of Augmented Reality – like a heads-up display in a car – do not need to estimate the camera’s motion, an object, or the user. However, more elaborate implementations of Augmented Reality need to track things and, more importantly, the camera’s movement itself. The applications in which Augmented Reality could be leveraged range from social interaction over pedestrian navigation to various use cases in different professions. Multiple companies already have shown closed source or custom-tailored programming interfaces, either running on smartphones or shipped with industry-targeted goggles. The tracking of real-world objects or surfaces is possible with the provided interfaces, but the algorithms behind the different functions are corporate secrets. This paper describes an approach for an end-to-end pipeline in a prototype of an Augmented Reality platform without using commercial interfaces. A time-of-flight camera provides a depth-image that allows reconstruction of the recorded scene as a cloud of SIFT features. Frame-by-frame analysis of the point cloud estimates the camera’s motion by highly parallel processing and a three-dimensional extension of the RANSAC algorithm. An accelerometer and a gyroscope provide additional data, fused with a Kalman filter to improve the motion estimation. A regular color camera acts as a viewfinder, and Vulkan renders the result to a monitor. Enhancing the matching quality of SIFT features between consecutive frames of a time-of-flight camera using a three-dimensional RANSAC algorithm led to over two times as many correct matches

Towards Integrated Data Analytics: Time Series Forecasting in DBMS

Integrating sophisticated statistical methods into database management systems is gaining more and more attention in research and industry in order to be able to cope with increasing data volume and increasing complexity of the analytical algorithms. One important statistical method is time series forecasting, which is crucial for decision making processes in many domains. The deep integration of time series forecasting offers additional advanced functionalities within a DBMS. More importantly, however, it allows for optimizations that improve the efficiency, consistency, and transparency of the overall forecasting process. To enable efficient integrated forecasting, we propose to enhance the traditional 3-layer ANSI/SPARC architecture of a DBMS with forecasting functionalities. This article gives a general overview of our proposed enhancements and presents how forecast queries can be processed using an example from the energy data management domain. We conclude with open research topics and challenges that arise in this area

Feasibility and beneficial effects of an early goal directed therapy after cardiac arrest: evaluation by conductance method

Although beneficial effects of an early goal directed therapy (EGDT) after cardiac arrest and successful return of spontaneous circulation (ROSC) have been described, clinical implementation in this period seems rather difficult. The aim of the present study was to investigate the feasibility and the impact of EGDT on myocardial damage and function after cardiac resuscitation. A translational pig model which has been carefully adapted to the clinical setting was employed. After 8 min of cardiac arrest and successful ROSC, pigs were randomized to receive either EGDT (EGDT group) or therapy by random computer-controlled hemodynamic thresholds (noEGDT group). Therapeutic algorithms included blood gas analysis, conductance catheter method, thermodilution cardiac output and transesophageal echocardiography. Twenty-one animals achieved successful ROSC of which 13 pigs survived the whole experimental period and could be included into final analysis. cTnT and LDH concentrations were lower in the EGDT group without reaching statistical significance. Comparison of lactate concentrations between 1 and 8 h after ROSC exhibited a decrease to nearly baseline levels within the EGDT group (1 h vs 8 h: 7.9 vs. 1.7 mmol/l, P < 0.01), while in the noEGDT group lactate concentrations did not significantly decrease. The EGDT group revealed a higher initial need for fluids (P < 0.05) and less epinephrine administration (P < 0.05) post ROSC. Conductance method determined significant higher values for preload recruitable stroke work, ejection fraction and maximum rate of pressure change in the ventricle for the EGDT group. EGDT after cardiac arrest is associated with a significant decrease of lactate levels to nearly baseline and is able to improve systolic myocardial function. Although the results of our study suggest that implementation of an EGDT algorithm for post cardiac arrest care seems feasible, the impact and implementation of EGDT algorithms after cardiac arrest need to be further investigated